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Review

Genetic Breeding and Diversity of the Genus Passiflora: Progress and Perspectives in Molecular and Genetic Studies

by
Carlos Bernard M. Cerqueira-Silva
1,2,
Onildo N. Jesus
3,
Elisa S. L. Santos
1,2,
Ronan X. Corrêa
4 and
Anete P. Souza
2,5,*
1
Laboratory of Applied Molecular Genetics, Department of Exact and Natural Sciences, State University of Southwest Bahia, Itapetinga 45700-000, Brazil
2
Molecular Biology and Genetic Engineering Center, University of Campinas, CP 6010 Campinas, Campinas 13083-875, Brazil
3
Brazilian Agricultural Research Corporation, Cassava & Fruits, Cruz das Almas 44380-000, Brazil
4
Biotechnology and Genetic Center, Biological Sciences Department, State University of Santa Cruz, Ilhéus 45662-900, Brazil
5
Plant Biology Department, Biology Institute, University of Campinas, Campinas 13083-875, Brazil
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2014, 15(8), 14122-14152; https://doi.org/10.3390/ijms150814122
Submission received: 23 March 2014 / Revised: 12 June 2014 / Accepted: 30 June 2014 / Published: 14 August 2014
(This article belongs to the Section Biochemistry)
Browse Figures
Versions Notes

Abstract

:
Despite the ecological and economic importance of passion fruit (Passiflora spp.), molecular markers have only recently been utilized in genetic studies of this genus. In addition, both basic genetic researches related to population studies and pre-breeding programs of passion fruit remain scarce for most Passiflora species. Considering the number of Passiflora species and the increasing use of these species as a resource for ornamental, medicinal, and food purposes, the aims of this review are the following: (i) to present the current condition of the passion fruit crop; (ii) to quantify the applications and effects of using molecular markers in studies of Passiflora; (iii) to present the contributions of genetic engineering for passion fruit culture; and (iv) to discuss the progress and perspectives of this research. Thus, the present review aims to summarize and discuss the relationship between historical and current progress on the culture, breeding, and molecular genetics of passion fruit.

Graphical Abstract

1. Introduction

1.1. General Characteristics of the Genus Passiflora, Family Passifloraceae

The family Passifloraceae Juss. ex DC. belongs to the order Violales, class Magnoliopsida, and phylum Magnoliophyta. Although records of plants that belong to this family have been in existence since 1553, there have been disagreements regarding the number of genera and species in the family since the first literary record of a plant in this group was written in Colombia [1]. Over the past few centuries, several scientific studies have been published describing the species and the organization of the species into genera and subgenera. Estimates of the number of species in the Passifloraceae family vary between 700 [2] and 520 [3,4,5]. Such variations are the result of taxonomical uncertainties, the use of synonyms, and descriptions of new species. There is also no consistency in the number of genera, which varies between 18 [2,3] and 23 [6].
Despite taxonomical uncertainties, Passiflora is highly diverse, with approximately 520 species [5]. Approximately 96% of the species are distributed in the Americas, although there are records of species in India, China, Southeastern Asia, Australia, the Pacific islands, and neighboring regions (examples of species include Passiflora aurantia, Passiflora cinnabarina, Passiflora herbertiana, Passiflora cupiformis, Passiflora henryi, Passiflora jugorum, Passiflora moluccana, and Passiflora siamica). Brazil and Colombia, in particular, are centers of diversity; approximately 30% of Passiflora species are found in these countries (approximately 150 in Brazil and 170 in Colombia), including 89 that are endemic to Brazil [7,8,9,10].
Based on the progress in taxonomic and phylogenetic studies using molecular markers and sequencing techniques, particularly over the last 10 years, the taxonomic classification of Passiflora species has been organized into four subgenera: Astrophaea, Decaloba, Deidamiodes, and Passiflora [11,12]. Although this infrageneric organization into only four subgenera diverges from the hypothesized 22 or 23 subgenera [13,14], research based on phylogenetic approaches, morphometric data, genotypic data of microsatellite markers [15] and DNA fragments from seven regions of the passion fruit genome (the rbcL and rps4 genes, the trnL intron and trnL-F intergenic spacers from the plastid genome, the nad1 b/c and nad5 d/e introns from the mitochondrial genome, and a portion of the 26S gene from the nuclear ribosomal genome) [16] supports this simpler division of the genus. Together, the information available for passion fruit supports the infrageneric classification of Passiflora based on studies of molecular phylogeny that are corroborated by morphological and ecological characteristics [16,17,18].
Figure 1 presents a summary of the data discussed above. Additional information on the family Passifloraceae, the group’s taxonomy, and the occurrence of species is reported in the List of Species of Brazilian Flora [10] and in the book Passiflora: Passionflowers of the world [19].
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Figure 1. Schematic illustrating general information regarding the Passifloraceae family (the number of genera, species, and distribution within different taxonomic levels) and details of the occurrence of Passiflora in Brazil. The data presented were summarized from the results of previous studies [2,3,4,9,12].
Figure 1. Schematic illustrating general information regarding the Passifloraceae family (the number of genera, species, and distribution within different taxonomic levels) and details of the occurrence of Passiflora in Brazil. The data presented were summarized from the results of previous studies [2,3,4,9,12].
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Molecular studies of passion fruit based on the combined and individual analysis of DNA sequences from the nuclear, plastid, and mitochondrial genomes also contribute directly to (i) estimates of the origin of the genus Passiflora and the diversification of its subgenera obtained through the analysis of molecular dating [16]; (ii) the identification and understanding of different organellar inheritance patterns [20]; and (iii) the demonstration of the potential use of fragments from the internal transcribed spacer (ITS) regions of nuclear ribosomal sequences and variations in the plastidial sequences to study inter- and intraspecific variability in Passiflora species [21,22]. Furthermore, the contributions to molecular phylogeny may be observed in in-depth studies [16,17,18].
With the expansion of the genomic information (sequences) available in public databases as well as the availability of genetic material in collections, germplasm banks, and herbaria, the use of short orthologous DNA sequences (DNA barcodes) to identify species can contribute considerably to the characterization and utilization of biological diversity [23,24]. In particular, for groups such as the genus Passiflora, for which taxonomic uncertainties exist and new species are continuously being discovered (approximately five species per year) [25], the definition and use of DNA barcodes can contribute directly to germplasm characterization and the evaluation of diversity in natural populations.
The inherent variability of Passiflora is not restricted to its morphological characteristics [26,27] and the physical and chemical compositions of the fruit and flowers [28,29,30,31] but includes traits important for its survival in natural environments and/or cultivation conditions, such as the resistance of wild species to biotic (fungi, bacteria, nematodes, and viruses) and abiotic stresses (variations in the edaphoclimatic characteristics of macro- and microregions in which Passiflora species naturally occur or are cultivated) [32,33,34]. Such variability may be useful for breeding programs with different end results.
Results from cytogenetic research on the genus Passiflora are scarce and restricted to less than 20% of the species [35]. Although such studies are increasing [36,37], this area of knowledge remains open to basic investigation. Despite this scarcity of cytogenetic information, research has contributed to our understanding of the group’s evolutionary relationships and has facilitated direct interspecies crosses and thus the genetic breeding of passion fruit. Certain species, particularly those of economic interest (due to fruit production and ornamentation, such as Passiflora edulis Sims, Passiflora alata Curtis, Passiflora coccinea Aubl, and Passiflora incarnate L.), are described by cytogenetic information available at different levels, including data from molecular cytogenetic techniques, such as fluorescent in situ hybridization (FISH) and genomic in situ hybridization (GISH) [38,39,40,41]. Details outlining the use of cytogenetic techniques in Passiflora are available [36,37]. Molecular data were also recently made available from the construction and initial characterization of a genomic library of P. edulis using the bacterial artificial chromosome (BAC) technique [42,43], which should contribute to the characterization of the germplasm, construction of chromosome maps of P. edulis and neighboring species, and identification of interspecies hybrids.
In relation to estimates related to the genome size of passion fruit species, as is discussed in the review presented by Souza et al. [37], the studies are very limited, and for most species, the information was derived from works carried out in the last 10 years with use of flow cytometry. This methodology may contribute to the estimation of DNA content as an aid in the analysis of ploidy, the identification of hybrids and the establishment of correlations between the genome sizes and biological and agronomic characteristics [37,44]. The few studies investigating the genome sizes of passion fruit have indicated significant interspecific variation, such as the results reported by Souza et al. [37] for eight species (with 2C nuclear DNA content ranging from 1.83 pg in Passiflora suberosa to 5.36 pg in Passiflora quadrangularis) and the more recent results from Yotoko et al. [44] for 50 species (indicating variation of 2C content from 0.42 pg in P. organogenesis to 4.41 pg in P. alata).
The available cytogenetic information on passion fruit species describes four different chromosome numbers distributed among the four subgenera of Passiflora: x = 6 in Decaloba, x = 9 and x = 10 or 11 in Passiflora, x = 10 in Astrophaea, and x = 12 in Deidamiodes [5,39]. This distribution is largely in accordance with the infrageneric classification supported by molecular phylogeny for the genus Passiflora. Although there is no precise estimation of the basic number of chromosomes across the genus, studies have suggested 6 or 12 as the precise number [35,38]. In the case of polyploidy, most Passiflora species are diploid, with 2n = 12, 18, or 20 chromosomes. Tetra-, hexa-, or octoploid species are rare [36,39]. The most commercially important species is diploid (2n = 18), which favors genetic breeding to obtain interspecies hybrids [36,43,44].

1.2. Economic Importance of Passion Fruit Species

Several segments of society display a great interest in passion fruit plants as ornamental and medicinal plants, as a source of oils for the cosmetic industry, and for their fruits and fruit derivatives. The use of passion fruit as an ornamental plant is justified because of the diversity and beauty of its leaves, flowers, and fruit, and more than 400 ornamental hybrids exist worldwide [45] (Figure 2). However, the use of passion fruit as an ornamental plant has only recently begun in Brazil, as the first hybrids for ornamental use were developed and launched in the last decade: the “Brasil (BRS) Estrela do Serrado” (N.Ref. RNC-MAPA 21717) was obtained from a cross between P. coccinea and Passiflora setacea, “BRS Rubiflora” (N.Ref. RNC-MAPA 21718) was obtained from a cross between the F1 hybrid (P. coccinea and P. setacea) with P. coccinea, and “BRS Roseflora” (N.Ref. RNC-MAPA 21715) was obtained from the cross between the F1 hybrid (P. coccinea and P. setacea) with P. setacea. These ornamental hybrids were developed at Embrapa Cerrados, Planaltina, Brazil (images and details are available at [46]). Ornamental hybrids have also been produced in Brazil’s northeast region, including “Passiflora alva”, “Passiflora priscilla” and “Passiflora aninha” all of which were obtained from a cross between Passiflora palmeri and Passiflora foetida. These ornamental hybrids were developed at the Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil [47] (images and details are available at [48]).
The identification of species with morphological and adaptive characteristics for ornamental use has increased in Brazil, particularly in research centers, such as the Universidade Estadual de Santa Cruz, Ilhéus, BA, Brazil; Embrapa Cerrados, Embrapa Mandioca e Fruticultura, Cruz das Almas, BA, Brazil; and the Instituto Agronômico, Campinas, São Paulo, Brazil. Among the various passion fruit species with ornamental potential, the characterization and utility of ornamental hybrid generation of the following species is distinctive, at least at the institutions noted above: P. coccinea, P. foetida, Passiflora morifolia, Passiflora mucronata, P. palmeri, P. setacea, P. suberosa. For readers interested in a deeper understanding of the subject, we suggest reading the specific research of Abreu et al. [49] and Costa et al. [50].
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Figure 2. Panel illustrating flowers from passion fruit species of ornamental ((a) Passiflora coccinea; (b) Passiflora mucronata; (c) Passiflora alata) as well as examples of ornamental passion fruit hybrids ((d)BRS Rubi do Cerrado; (e)BRS Pérola do Cerrado; (f) BRS Estrela do Cerrado; (g)BRS Rosea Púrpura; (h)BRS Céu do Cerrado). Credits: F.G. Faleiro & NTV Junqueira, researchers from the Embrapa Cerrado, Brazil.
Figure 2. Panel illustrating flowers from passion fruit species of ornamental ((a) Passiflora coccinea; (b) Passiflora mucronata; (c) Passiflora alata) as well as examples of ornamental passion fruit hybrids ((d)BRS Rubi do Cerrado; (e)BRS Pérola do Cerrado; (f) BRS Estrela do Cerrado; (g)BRS Rosea Púrpura; (h)BRS Céu do Cerrado). Credits: F.G. Faleiro & NTV Junqueira, researchers from the Embrapa Cerrado, Brazil.
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The use of Passiflora species as medicinal plants has been previously documented. The leaves, flowers, roots, and fruit of wild and commercial species are known to fight diseases, such as helminth infestations, gastric tumors, and stress, and are an integral component of the cultural tradition of many populations [50]. Passion fruit is a rich source of minerals and Vitamins A, C, and D [51] as well as a source of alkaloids, flavonoids, and carotenoids that are beneficial to human health [52]. Passion fruit seeds are sources of essential fatty acids (55%–66% linoleic acid, 18%–20% oleic acid, and 10%–14% palmitic acid), which may be used in the food and cosmetic industries [53]. The potential commercial use of passion fruit also includes the extraction of oils for the manufacturing of soaps, creams, shampoos, and other products by the cosmetic industry [54]. Compounds in passion fruit plants with anxiolytic, antihypertensive, sedative, and analgesic properties are well known [55,56]. Considering the research presented above, the following species stand out among the various passion fruit species with potential medicinal properties: P. alata, Passiflora caerulea, P. edulis, P. foetida, Passiflora incarnata, Passiflora laurifolia, and Passiflora maliformis.
Despite the ecological importance and different potential uses of Passiflora as a genetic resource, it is the production of fruit for food and commercially produced juice that justifies the cultivation of the passion fruit plant [57] and that has led to increasing academic and economic interest. Brazil is the largest producer and consumer of passion fruit [58,59]. National production reached approximately 776,000 tons in 2012 [60]. Although the cultivation of passion fruit occurs in all regions of the country, northeastern Brazil produces approximately 73% of the national product [60]. Approximately 90% of the area designated for passion fruit culture is cultivated with P. edulis, and P. alata is the second most cultivated species of the genus [54,61]. Although they represent a small proportion of national production, the cultivation and consumption of fruits from wild species, such as Passiflora cincinnata, Passiflora nitida, P. quadrangularis, and P. setacea, have been reported in the literature [31,57,61,62,63].
Brazil’s position as the largest passion fruit producer is due to the large size of the area cultivated rather than its productivity (Table 1). Data from the Brazilian Institute of Geography and Statistics, shown in Table 1, indicate an increase in the area devoted to passion fruit cultivation and fruit production but do not indicate a corresponding increase in productivity. The change in productivity of passion fruit cultivation was no more than 4% over the last 10 years despite the available natural diversity and progress in genetic breeding techniques. Furthermore, the recent mean productivity (14 tha−1) in Brazil (Table 1) is less than 30% of the potential productivity rate estimated for passion fruit cultivation (50 tha−1·year−1) with the use of improved cultivars and techniques [61].
The major factors that limit productivity are the absence of productive varieties that are adapted to local conditions, a lack of resistance to major diseases, and the use of seeds obtained by open pollination from plants in the planted area, which generates low-quality fruit and inconsistent production [30,32,64]. These conditions primarily occur because the available improved genotype selections for producers are scarce [61,64,65]. The Passiflora genetic resource exhibits variability in resistance to major passion fruit diseases and a high morphological variability, which together may contribute to disease control or the diversification of products. Although the potential for wild and commercial species is remarkable, basic studies involving the agronomic characterization of the species must be initiated.
Because molecular biology in general and the use of molecular markers in particular provide a wide range of useful tools for basic and applied research associated with genetic breeding at different stages (from the prospect of germplasms to the characterizations required for pre-breeding and the protection of cultivars in the post-breeding period), success is expected for passion fruit breeding programs in the future. Therefore, the current review will address the available knowledge on this subject (with tables and diagrams to represent the data quantitatively and qualitatively) and discuss the relevant studies and resulting knowledge, although this review does not pretend to end the discussion on the current and potential use of molecular markers to characterize the genus Passiflora and for plant breeding.
Table
Table 1. Descriptive presentation of the Brazilian agricultural production * of passion fruit between 2003 and 2012.
Table 1. Descriptive presentation of the Brazilian agricultural production * of passion fruit between 2003 and 2012.
Period (Years)Planted Area (ha × 1000)Production (t × 1000)Productivity (t/ha)
200334.9485.313.9
200436.6491.613.4
200535.8479.813.4
200644.4615.213.9
200746.8664.314.2
200848.7684.414.0
200950.8718.814.2
201062.0920.214.8
201161.6923.014.9
201257.8776.113.4
Average (CV)48 (21%)676 (24%)14 (4%)
* Original data were obtained from the Municipal Agricultural Production presented by the Instituto Brasileiro de Geografia e Estatística [60] between 2003 and 2012; CV = coefficient of variation.

2. Contributions of Molecular and Genetic Studies for the Characterization and Use of Passiflora Biodiversity

2.1. Biodiversity, Conservation, and Breeding of Passion Fruit

The concept of biodiversity may vary according to the context in which it is employed. Biodiversity may be defined as the totality of genes, species, and ecosystems of a specific region or the planet as a whole. This totality is the result of evolutionary processes [66,67]. The components of biodiversity with an immediate and/or potential interest for humans constitute a biological resource that may, in turn, be classified as a genetic resource [67] including the genetic variability of social and economic assets. In general, genetic resources are considered sources of variability (natural raw material) both for breeding programs and to support conservation strategies. However, several characterizations that involve different methodological approaches are required to use genetic resources for the conservation of biodiversity and genetic breeding. We have devised an illustrative scheme to facilitate the understanding and visualization of the relationships among the presented concepts (Figure 3). However, for readers interested in expanding on this theme, we also recommend the reading of specialized texts [68].
Although Passiflora has a high species diversity, and despite the dispersion of this genus within different tropical biomes, information on the intra- and extraspecies genetic diversity is rare for most species. Research available in the primary databases of scientific publications (Scopus [69] and Web of Science [70]) includes characterizations of genetic diversity based on molecular markers of fewer than 60 species (details are provided in Table 2 and discussed in the following sections). Nearly all these studies were performed using dominant markers, which do not allow for the maximum exploitation of genetic information because it is impossible to distinguish heterozygote genotypes, and were based on a few commercial genotypes with only local interest and/or a few wild accessions per species. Therefore, these studies cannot be characterized as population genetics studies.
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Figure 3. Schematic illustrating the different components of biodiversity and the classification of those components that have generated immediate interest or are of potential use for society, scientific interests, or conservation and breeding. The data presented were summarized from the results of previous work [66,67].
Figure 3. Schematic illustrating the different components of biodiversity and the classification of those components that have generated immediate interest or are of potential use for society, scientific interests, or conservation and breeding. The data presented were summarized from the results of previous work [66,67].
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Similar to the lack of information available on the cytogenetics (discussed in the introduction of this review) and genetic diversity of Passiflora, the number of accessions present in collections and active germplasm banks (BAGs) of passion fruit are considered incipient in Brazil and across the world [27,54,59]. At least 1200 accessions of Passiflora spp. are estimated and are preserved in 50 collections of germplasms distributed in approximately 32 countries (Figure 4) [54,59]. Among these countries, we highlight Brazil, Ecuador, Peru and Colombia, which account for approximately 84% of accessions. Although it is likely that the exact number of accessions kept in these collections has varied since the compilations made by Ferreira [59], the predominance of accessions in South American collections present in tropical countries is expected because this region is considered as a center of diversity of the genus Passiflora [7,8,9,10]. In addition, these same countries are recognized as leading producers of passion fruit. [59]. Although Brazil is considered an important center of genus diversity, extant collections contain fewer than 70 species of the genus, or approximately 50% of the Brazilian Passiflora species and less than 15% of all species within the genus [59]. Furthermore, the majority of accessions in BAGs lack biological, genetic, and molecular characterizations. This dearth of information on accessions is partially responsible for the lack of passion fruit breeding programs and may have also resulted in the reduced productivity of existing programs.
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Figure 4. Map showing the countries where worldwide collections of passion fruit (Passiflora spp.) are located. The countries with the most representative collections are identified with blue circles (four countries, representing approximately 84% of accessions), followed by countries identified with magenta circles (five countries, representing approximately 11% of accessions) and countries identified with red circles (23 countries, representing approximately 5% of accessions). Note: The percentages of accessions were calculated from the data presented by Ferreira [59].
Figure 4. Map showing the countries where worldwide collections of passion fruit (Passiflora spp.) are located. The countries with the most representative collections are identified with blue circles (four countries, representing approximately 84% of accessions), followed by countries identified with magenta circles (five countries, representing approximately 11% of accessions) and countries identified with red circles (23 countries, representing approximately 5% of accessions). Note: The percentages of accessions were calculated from the data presented by Ferreira [59].
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The vast majority of passion fruit accessions are maintained in Brazilian institutions, highlighted by the collections and germplasm banks maintained by Embrapa (Centro de Pesquisa Nacional de Mandioca e Fruticultura, and Centro de Pesquisa Agropecuário do Cerrado), the Instituto Agronômico de Campinas (IAC), and the Instituto Agronômico do Paraná (IAPAR) as well as the Universidade Estadual Paulista (UNESP), Universidade Estadual do Norte Fluminense (UENF), Universidade Federal do Rio de Janeiro (UFRJ), and Escola Superior de Agricultura Luiz de Queiroz (ESALQ/USP) [25]. The current estimate is that these eight institutions have 65 passion fruit species represented in 640 accessions, approximately 25% of which are related to the two species of greatest commercial interest, namely, P. edulis (with 105 accessions) and P. alata (with 65 accessions) [25,59].
The discrepancy between the natural variability inherent to the genus and the reduced variability represented in BAGs should be remedied as quickly as possible because it hinders the establishment and progression of Passiflora genetic breeding programs [59]. Similarly, utilization of the available genetic variability for Passiflora has been neglected during cultivar generation [61]. Thus, although several wild passion fruit species are resistant to diseases and pests, derived cultivars do not have the same genetic resistance. In fact, these cultivars are prone to contracting the major diseases of cultivated passion fruit. Furthermore, the literature suggests that different cultivars exhibit low variability in their levels of resistance [32].
The above conditions are justified, at least partially, because the first studies in the 1980s [28,71] that contributed to the establishment of Passiflora breeding programs prioritized production (quantitatively and qualitatively) and not necessarily the other aspects of genetic diversity, such as resistance, ornamentation, and the production of potential medicinal compounds.
In addition to the potential for commercialization because of the natural beauty of their flowers and the taste of their fruits, wild passion fruit species have desirable characteristics for the yellow passion fruit, including resistance to pathogens and pests (P. caerulea, P. cincinnata, P. coccinea, Passiflora gilberti, P. laurifolia, P. setacea, and P. suberosa), self-compatibility (P. tenuifolia, P. elegans, P. capsularis, P. villosa, P. suberosa, P. morifolia, and P. foetida), and variability in the season of production compared with commercial species (P. setacea and P. coccinea) [33,54]. For some species, such as P. caerulea, P. cincinnata, P. coccinea, and P. setacea, interspecific hybrids are being developed and characterized [33,54,72] and estimates of genetic diversity and confirmation of the hybrids based on molecular markers are being carried out [54,62,63].
According to these studies, the genetic base of the yellow passion fruit is restricted with respect to disease resistance and tolerance. In fact, the authors favor the use of genetic resources from wild species in breeding programs. Several authors have emphasized research on the description, characterization, and use of germplasm as a priority for passion fruit production to obtain more productive passion fruit cultivars with increased resistance to diseases [54,73]. The joint use of molecular markers and classical breeding procedures has been suggested as a necessary strategy to accelerate the production of fruit varieties that are adapted to different Brazilian regions [64].
Although the realities of existing cultivars, such as low variability and susceptibility to disease, still endure for cultured passion fruit, an increasing number of studies devoted to the characterization of resistance in wild species and commercial accessions are being performed [32,34,74,75]. Interspecies crosses that aim to incorporate the resistance genes of wild species into commercial species are also being implemented and evaluated [54,76,77]. The following sections discuss the applications and contributions of molecular markers to our understanding of the genetic diversity of Passiflora and to the various stages of breeding programs.

2.2. Application of Molecular Markers for the Characterization of Passiflora Diversity

The use of molecular markers for genetic characterization projects with a variety of objectives for a range of organisms is routine in many laboratories. Although molecular biology techniques have become prevalent in recent decades, leading to a reduction in the cost of most molecular markers, the availability of resources and background information are still determining factors in the choice of methods and markers to be used. In recent decades, the increase in the number of molecular markers associated with the growth of related fields of study, such as population genetics, genetic breeding, statistics, and bioinformatics, has generated immense progress in the knowledge applicable to conservation and biodiversity manipulation.
Genetic studies associated with molecular markers are becoming standard for the Passiflora genus. These studies range from the use of dominant markers to the development and employment of co-dominant markers and single-nucleotide polymorphisms (SNPs). Figure 5 provides a general chronological overview of the evolution of major molecular markers and their use in studies of Passiflora. A simple quantitative evaluation of published papers, the data from which are shown in Figure 5, indicates that the use of molecular markers in Passiflora research began approximately 15 years ago with the use of the random amplified polymorphic DNA (RAPD) markers to study the diversity of 52 accessions from 14 Passiflora species [7].
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Figure 5. Chronological schematic illustrating the main molecular markers and their initial reference (A) as well as the published articles using molecular markers in the genus Passiflora, their initial reference, and the total number of papers (B).
Figure 5. Chronological schematic illustrating the main molecular markers and their initial reference (A) as well as the published articles using molecular markers in the genus Passiflora, their initial reference, and the total number of papers (B).
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Despite the availability of approximately 4000 fragments of DNA and RNA sequences from Passiflora (data from the NCBI nucleotide database [78], genetic studies employing widely used molecular markers in different stages of breeding programs and for estimates of diversity (for example, restriction fragment length polymorphism (RFLP), RAPD, amplified fragment length polymorphism (AFLP), inter-simple sequence repeat (ISSR), simple sequence repeat (SSR), and SNP markers) have typically been limited to a few Passiflora species. However, additional species are currently being studied. Table 2 (and the supplementary Information) provides a summary of existing research using molecular markers during different phases of genetic breeding (from pre- to post-breeding) regardless of the study’s scope. Table 2 includes all of the information about these studies, ranging from the investigation goals to the techniques and species used. The data in Table 2 confirm the absence of genetic and molecular information reflected by the genetic diversity of Passiflora; few species have been studied (fewer than 60), and most of the research has focused on Passiflora species or accessions with previously established commercial interest. Research on ecological justifications and aims coupled with species conservation have not been performed, although brief discussions on the characterization and ex situ conservation have been published.
Most molecular genetic studies (approximately 65% of all papers, 85% of which are based on genetic diversity) are based on the use of dominant markers. Although dominant markers are useful for genetically distinguishing species (for tests to confirm hybrids and the direction of convergent and divergent breeding), they have limitations, such as low repeatability and suboptimal genetic information profiles (homozygote and heterozygote specimens cannot be distinguished), that are highly relevant for population studies.
Despite the limitations inherent in the use of dominant markers, genetic diversity estimates based on wild and commercial accessions have contributed to the understanding of the genetic variability of passion fruit. In this context, RAPD and AFLP markers have been used to demonstrate high genetic variability among accessions of P. edulis [58,79] as well as a lack of correlation between the estimated genetic distances and geographical origins of the accessions evaluated [79]. However, estimates of variability using RAPD markers performed with commercial accessions of P. edulis indicated low genetic variability [8,80]. The authors of these studies have suggested that the apparent contradiction between the low genetic diversity identified with molecular markers and the large variability observed in commercial plantations is due to the major influence of the environment on morphological characteristics. Greater genetic distance was observed among accessions of purple and yellow fruits [8,58], and the accessions of purple and yellow fruits are considered genetically distinct despite belonging to the same species [58].
The use of RAPD markers has also contributed to estimates of diversity in wild species of passion fruit, such as P. cincinnata, P. nitida, and P. setacea [62,63,81]. In these studies, large genetic variability was observed, with percentages of polymorphic loci ranging from 64% in P. nitida [81] to 93% in P. setacea [63]. The fact that many studies, especially those conducted on wild species, only address accessions collected in the same geographic region illustrates the need to conduct further studies with a broader representation of accessions to more completely determine the variability and possible genetic structure of passion fruit.
Results on the characterization of genetic variability and the identification of potential regions related to resistance genes, phylogenetically conserved in plants, were first published for the genus Passiflora in 2010 [82] (Figure 5 and Table 2). This study used six degenerate combinations of resistance gene analogs (RGA) primers, originally designed to anneal with the NBS (nucleotide binding site) motive present in several classes of resistance genes. The results presented by Paula et al. [82] show wide interspecific variability among the amplicons generated, enabling the use of these markers for variability studies in germplasm banks as well as in genetic mapping. Although these are preliminary results, the authors also observed amplicons containing genomic segments of type NBS-LRR (leucine-rich protein and the nucleotide binding sites) present in different plant species.
Since the publication of these results, studies of intra-and interspecific diversity performed with use of RGA markers are being conducted at the Universidade Estadual do Sudoeste da Bahia (UESB, Itapetinga, Bahia), and the preliminary results confirm the efficiency of these markers for the characterization of genetic variability in commercial and wild species of passion fruit [83]. RGA markers have also contributed to linkage analysis and the construction of a recent genetic map for P. alata [84].
Table
Table 2. Descriptive and quantitative presentation of papers published using different molecular markers in the genus Passiflora.
Table 2. Descriptive and quantitative presentation of papers published using different molecular markers in the genus Passiflora.
Molecular MarkersGeneral Aim of the ArticleEvaluated SpeciesNo. of SpeciesNo. of Articles
IsozymesEstimation of diversity (germplasm)P. ampullacea, P. antioquensis, P. bracteosa, P. cumbalensis,
P. manicata, P. mixta, P. pinnatistipula, P. tarminiana, P. tripartita		103
RFLPEstimation of diversity (germplasm)P. edulis, P. ligulares, P. maliformis, P. caerulea, P. mollissima,
P. sp. india, P. cumbalensis, P. antioquiensis, P. pinnatistipula,
P. x rosea, P. adenopoda, P. coriacea		121
RAPDEstimation of diversity (germplasm)P. adenopoda, P. alata, P. amethystina, P. antioquiensis,
P. caerulea, P. capsularis, P. cincinnata, P. coccinea, P. coriacea,
P. cumbalensis, P. edulis, P. foetida, P. gibertii, P. laurifolia,
P. ligularis, P. macrocarpa, P. malacophylla, P. maliformis,
P. micropetala, P. mollissima, P. morifolia, P. mucronata, P. nitida,
P. palmeri, P. pinnatistipula, P. serrato, P. setacea, P. spinosa,
P. suberosa, P. subpeltata, P. trintae, P. vitifolia, P. xrosea		3315
Characterization and confirmation of hybridsP. alata, P. gardneri, P. gibertii, P. foetida,
P. sublanceolata, P. watsoniana		63
Genetic mappingP. edulis 11
OtherP. actinia, P. alata, P. amethystina, P. caerulea, P. coccinea,
P. eichleriana, P. edulis, P. galbana, P. glandulosa, P. gibertii,
P. laurifolia, P. mucronata, P. nitida, P. sidaefolia, P. setacea		152
AFLPEstimation of diversity (germplasm)P. alnifolia, P. ampullacea, P. antioquensis, P. bracteosa,
P. cumbalensis, P. edulis, P. fimbratistipula, P. gracilens,
P. ligularis, P. mixta, P. manicata, P. parritae, P. pinnatistipula,
P. popenovii, P. tarminiana, P. tenerifensis, P. tiliaefolia,
P. tripartita, P. trifoliata, P. trinervia		203
Genetic mappingP. alata, P. edulis22
SSREstimation of diversity (germplasm)P. capsularis, P. edulis, P. rubra24
Characterization and confirmation of hybridsP. foetida, P. sublanceolata21
Genetic mappingP. edulis 11
Development, characterization and selection of markersP. alata, P. cincinnata, Passiflora contracta, P. edulis, P. setacea57
Cross-amplificationP. caerulea, P. cincinnata, P. edulis, P. foetida, P. gibertii, P. ligularis,
P. maliformis, P. mucronata, P. rubra, P. setacea, P. suberosa		112
Other P. alata1 1
RGAEstimation of diversity (germplasm)P. caerulea, P. coccinea, P. edulis, P. gibertii, P. nitida,
P. odontophyla, P. serratodigitata, P. setacea		81
Genetic mappingP. alata 11
ISSREstimation of diversity (germplasm)P. alata, P. edulis22
SNPGenetic mappingP. alata 11
Other markersEstimation of diversity (germplasm)P. edulis 11
Genetic mappingP. alata 11
RFLP, restriction fragment length polymorphism; RAPD, random amplified polymorphic DNA; AFLP, amplified fragment length polymorphism; SSR, simple sequence repeat; RGA, resistance gene analogs; ISSR, inter-simple sequence repeat; SNP, single-nucleotide polymorphism; The data presented were obtained from queries of the Scopus [69] and Web of Science [70] databases. Detailed information on the references used to construct this table is available in the supplementary material.
Studies on Passiflora using co-dominant markers began in 2005 and were mainly limited to the development of microsatellite markers for the species P. edulis [85,86,87], P. alata [88,89], P. cincinnata [87,90], P. setacea [87], and P. contracta [91]. Studies on other species of this genus addressed the evaluation of cross-amplification [15,92,93,94] and hybrid confirmation [45]. Most of these studies were restricted to characterizations in agar gels or polyacrylamide gels and require additional evaluation, including profiles of amplifications and polymorphic loci. The identification and characterization of microsatellite loci in the genus Passiflora indicated low levels of polymorphism in these genomic regions, at least for the species evaluated (Table 3). The average number of alleles per characterized microsatellite locus was low in studies of wild and commercial species of Passiflora, ranging from 2.8–5 alleles per locus for the wild species P. cincinnata, P. contracta, and P. setacea [87,90,91] and from 3.1–7.6 alleles per locus for the species of greatest commercial interest, namely, P. edulis and P. alata [85,88].
Regarding the estimates observed for microsatellite loci from passion fruit (Table 3), it is also important to note that the low values of observed heterozygosity, compared with the values of expected heterozygosity, suggest low allelic diversity and tendency toward the fixation of alleles, at least for the germplasm evaluated. The percentage of polymorphic microsatellite loci observed in characterizations of passion fruit species can also be considered low, with an average of approximately 28% of microsatellite loci polymorphic across wild and commercial species; in the wild species P. cincinnata and P. setacea, the individual values are 21% and 29%, respectively [86,89], and in the commercial species P. alata and P. edulis, the individual values are 25% and 35%, respectively [86,89].
Table
Table 3. Average values observed for the number of alleles (Na) and observed (H0) and expected (HE) heterozygosity in the characterization of microsatellite loci from passion fruit species (Passiflora spp.).
Table 3. Average values observed for the number of alleles (Na) and observed (H0) and expected (HE) heterozygosity in the characterization of microsatellite loci from passion fruit species (Passiflora spp.).
SpeciesCharacteristics of Microsatellite LociReferences
NaH0HE
P. alata3.10.260.53Pádua et al. [82]
P. cincinnata50.520.52Cerqueira-Silva et al. [84]
P. cincinnata3.30.260.36Cerqueira-Silva et al. [81]
P. contracta4.90.530.61Cazé et al. [85]
P. edulis7.60.580.62Oliveira et al. [79]
P. edulis3.40.310.36Cerqueira-Silva et al. [81]
P. setacea2.80.340.41Cerqueira-Silva et al. [81]
Research that characterizes genetic diversity in wild populations by microsatellite markers remains unpublished, although reports on evaluations of germplasm materials in Colombia [95] and Brazil [94,95,96,97,98] have been published. The microsatellite marker sets used by Ortiz et al. [95] in a study with P. edulis and by Amorim et al. [96] in a study with P. capsularis and P. rubra have not shown polymorphisms, whereas other studies performed by Reis et al. [97,98] have exclusively evaluated genotypes from cycles of recurring selection in P. edulis progenies. The hypothesis that microsatellite loci have low levels of polymorphism, which has been based on identification and characterization studies of the microsatellites [85,86,87,88,89,90], is supported by the absence of polymorphism observed in a study of genetic variability in Colombia that analyzed 70 passion fruit plants (P. edulis) collected in 60 commercial plantations [95]. Ten microsatellite loci reported in P. edulis [85] and seven in P. alata [88] were used in that study.
The first successful estimates of genetic diversity in Passiflora accessions were obtained with SSR markers in 2013 [92,94]. However, those studies were limited in their estimates of intraspecies diversity because of the small number of plants that were evaluated (fewer than six plants for most species). In addition, even for interspecific studies, such as that performed by Oliveira et al. [92], where 11 passion fruit species were considered, the average number of alleles was not more than five (ranging from 1–13 alleles per locus).
The variation in the genetic diversity estimated in published papers, primarily those analyzing commercial species, is due to not only the specific characteristics of the genotypes evaluated but also the effects of the different statistical methodologies employed by the authors. Methodological influences on the results of diversity estimates have been reported for a variety of species, including Mangifera indica [99], Olea europaea [100], Zea mays L. [101], and Solanum lycopersicum [102]. Differences in methodologies have also been discussed for studies of morphological characteristics and of genetic diversity that used molecular markers to study passion fruit [103]. In the latter work involving passion fruit, comparisons were made among seven distance measures, 14 similarity coefficients, and five grouping methods. The authors concluded that the diversity estimate is significantly influenced by the method employed. Considering the different methodological strategies that have been employed for data analysis in the various studies of diversity among passion fruit accessions, the authors suggest that the choice of the methodology to be used and the comparison of results obtained using different measurements and coefficients should be performed carefully.
Research projects conducted as part of a joint venture between the Universidade Estadual de São Paulo (ESALQ/USP, Piracicaba, Brazil) and Centre National de Ressources Génomiques Végétales (CNRGV/INRA, Toulouse, France) during the past five years have introduced the first SNP identifications in commercial passion fruit species (P. alata) [84]. However, the use of these data remains limited to the construction and saturation of genetic maps, as is the case for most microsatellites available for commercial Passiflora species.

2.3. Application and Perspectives of Genetic Engineering for Passion Fruit Culture

Considering the diversity of species and intra- and interspecific genetic variability available for use in breeding programs of passion fruit, genetic engineering as a methodological strategy to increase favorable characteristics for passion fruit culture has been specifically employed to search for disease resistance [104]. With regard to diseases such as passion fruit woodiness (PWD) (caused in Brazil by Cowpea aphid-borne mosaic virus) and the bacterial spot disease (caused by Xanthomonas axonopodis pv. passiflorae), for the which chemical control measures are not effective and resistant cultivars are not available, a growing number of advances in the use of genetic engineering have been observed in recent decades [105,106,107,108].
Studies attempting to produce transgenic passion fruit have been conducted since the late 1990s and early 2000s at the Universidade Federal de Viçosa (UFV), Minas Gerais, Brazil, and Universidade de São Paulo (USP), São Paulo, Brazil; the first results were published in 2005 [105] and 2006 [106]. In these two studies, plants of yellow passion fruit (P. edulis) were transformed from fragments of genes obtained from viral isolates known to cause PWD. These studies were initiated based on a pathogen-derived resistance (PDR) approach that likely relied on the induction of post-transcriptional gene silencing (PTGS).
An untranslatable construct consisting of two-thirds of the NIb gene and the 5' region of the CP gene derived from a viral isolate of CABMV was used by Alfenas et al. [105]. In turn, a construct consisting primarily of the CP gene was used by Trevisan et al. [106]. In both studies, transgenic plants resistant to PWD were obtained. However, the effective resistance observed in the transformed plants by Alfenas [105] was restricted to the viral isolate from which the fragments of the NIb and CP genes were isolated. It is probable that the high variability in the nucleotide sequence of the NIb gene was the main factor contributing to this result. Subsequently, the transgenic plants (R0) were self-crossed to generate homozygous lines (R1), and a plant of this line was resistant to seven viral isolates [109]. The authors defend the hypothesis that the dose used, due to the presence of homozygous plants for the transgene in the R1 lineage, contributes substantially to the spectrum of resistance observed [105,109].
In addition, one of the transgenic plants produced by Trevisan et al. [106] was immune to all the three isolates considered in your search, but the potential resistance of these transgenic lines to other isolates found in Brazil is not known. Studies performed by Monteiro-Hara [107] identified new transgenic lines of passion fruit and generated transgenic lines R1 and R2, both from transgenic plants characterized by Trevisan et al. [106], as well as from the new lines constructed. Homozygous lines did not show symptoms of the viral disease after either mechanical inoculation or inoculation by aphids [107]. New crosses were made between R2 plants selected by the authors for future studies.
Although in smaller proportions or in less advanced stages, studies devoted to obtaining transgenic plants were also conducted with P. edulis for resistance to diseases and herbicides through the introduction of a baculovirus anti-apoptotic gene (p35 gene) [108] and the resistance to bacterial spot disease by introducing the sequence of the attacin A gene (attA) [110]. Plants of P. edulis transformed with p35 gene sequences showed no resistance to CABMV but showed increased tolerance to bacterial spot disease and glufosinate herbicide when compared to non-transgenic plants [108]. Ten plants of P. edulis transformed with the attA sequence of the gene showed no leaf lesions after inoculation with X. axonopodis pv. Passiflorae, indicating possible resistance to the pathogen. Initial tests attempting to obtain transgenic plants were conducted with P. alata [111]. These experiments demonstrated the possibility of obtaining transgenic plants for P. alata. Similar to the work conducted with P. edulis, the transformations achieved in P. alata were conducted using Agrobacterium tumefaciens and a fragment of the CP gene CABMV.
In conjunction, the progress observed with the studies dedicated to the production of transgenic passion fruits indicates that, at least for PWD, it is possible that resistant plants will soon become available for cultivation and/or for use in breeding programs dedicated to the production of resistant cultivars with higher productivity.

2.4. Contributions and Perspectives of Molecular Biology in Pre- and Post-Breeding Programs

The contributions of molecular biology, and especially the use of the molecular markers, in (pre-) breeding programs may be didactically separated into at least six research modes: (i) the direction of convergent and divergent crossings leading the initial stages of breeding; (ii) the confirmation of intra- and interspecies hybrids with a reduction in the occurrence of escapes; (iii) the contribution of retro-crossings with a decrease in the time necessary for the re-composition of the genome; (iv) the genetic mapping and identification of quantitative trait loci (QTLs) that are useful for the subsequent introgression of genes into commercial species and cultivated varieties; (v) the prospection and characterization of resistance genes, both by mapping strategies and through the use of analog markers of resistance genes; and (vi) the identification and protection of hybrids and cultivars. Coupled with the effective use of markers, these joint activities contribute to the establishment of an assisted selection program because all of the information provided enables the efficient use of the available germplasm.
In addition to their contribution to understanding the diversity of populations or groups of regional accessions, estimates of passion fruit genetic diversity have enabled the identification of converging and diverging crosses that can contribute to different stages of a (pre-) breeding program. For commercial species, such as P. edulis [80], as well as wild species, such as P. setacea [63] and P. cincinnata [62], preferred crossings were suggested after the characterization of RAPD markers to generate progenies with greater or lower potential for segregating characteristics. The identification of genetically divergent accessions between yellow and purple passion fruit that has been achieved based on molecular markers [8,58] can also be used to target crosses that aim to broaden the genetic base of breeding programs for P. edulis.
The absence of agronomic characterizations for most accessions in the aforementioned studies is the greatest challenge to introducing information from genetic diversity estimates into current breeding programs. Difficulties in the joint use of data from phenotype and genotype characterizations (particularly when related to neutral markers) have been reported for different cultures and are an aspect of the challenge inherent in studies of natural populations [112]. For cultivar development, the pre-breeding programs that completely exploit the use of molecular techniques and field characterizations in germplasm are indicated as bonding strategies between natural variability and the cultivars employed for the maintenance and growth of cultures [67].
Different molecular markers, such as RAPD and microsatellites, are highly efficient and user-friendly techniques that can be used to confirm intra- and interspecies hybrids. The first study to employ molecular markers to confirm hybrids from 17 interspecies crosses of 14 Passiflora species of agronomic interest associated with fruit production was published in 2008 [72] and was based on the profile of DNA fragments generated using 12 RAPD primers. Similar molecular markers have since been utilized to confirm and characterize interspecific ornamental hybrids [47,113] based on the profile of DNA fragments generated using seven RAPD primers and one SSR primer. The confirmation of hybrids using molecular markers may decrease the occurrence of escapes and reduce costs via the restricted maintenance of seedlings to be used in sequential stages of a (pre-) breeding program.
Molecular markers also contribute to the characterization and selection of specimens with a higher genomic contribution from the recurrent parent [76,114]. The characterization of parents and segregant genetic diversity, which are associated with evaluations of the specific phenotype, inform crossings and reduce the number of backcrossing cycles required to obtain the hybrid of interest at the start of breeding. This strategy has improved the introgression of disease resistance found in the wild species P. setacea into the cultivars GA-2, AR-1, and EC2-O of P. edulis [ 114]. An experiment performed at EMBRAPA Cerrados re-established a 92% average of the commercial ancestor’s genome (P. edulis) in hybrids while maintaining the resistance of the wild ancestor (P. setacea) [114].
One of the most thorough passion fruit studies, at least with regard to molecular markers within the context of breeding, consists of the construction of genetic maps and identification of regions associated with characteristics of interest (QTLs or, more specifically, quantitative resistance loci, QRLs). Early genetic mapping of passion fruit species began in 2000, and the first maps were published in 2002 [115]. These maps were based on the characterization of a segregant population of P. edulis using RAPD markers. The population used to construct the first map helped to identify the first QRLs linked to the genus Passiflora using AFLP markers [116]. The quantitative resistance locus detected by Lopes et al. [116] explained approximately 16% of the phenotypic variation related to symptoms from bacterial spot disease caused by X. axonopodis pv. passiflorae.
The use of map integration strategies to construct a single map (rather than two maps representing ascendants) [86] was a landmark in genetic mapping studies and the identification of QTLs in passion fruit. Another important feature of the Passiflora map was the use of microsatellite markers for the map construction in addition to AFLP [86]. An important advantage of the integrated construction of a single representative map of a segregant population is an increase in map saturation and length. The extension of research to construct maps and the identification of QTLs in passion fruit plants have occurred only recently for another species of this genus: the first integrated genetic map for P. alata was published in 2013 [104]. The use of variable AFLP and SSR techniques and the first characterization of SNPs in the passion fruit plant were included in this map [104].
Research dedicated to the construction of physical maps has also been conducted [42]. Physical maps were obtained from putative genes identified from a passion fruit genomic library inserted into BACs [42,43]. This research is a new development in genetic and genomic studies of passion fruit; it characterizes the species’ genomes, identifies evolutionary relationships, and develops new molecular markers, including SSR markers, expressed sequence tags (ESTs), and SNPs.
The advances in the genetic mapping of passion fruit associated with the reduction of costs of next-generation sequencing (NGS) should enable genetic characterizations based on genotyping-by-sequencing (GBS), at least for commercial species, in both the short and medium term. In this context, alternative methodologies that reduce costs and enable GBS, such as the use of restriction enzymes to reduce genome complexity [117], should be considered in future genetic studies of passion fruit; these methodologies can contribute to both population studies and procedures of genome-wide selection in collections and germplasm banks.
Molecular markers are also used in different stages: after cultivars are obtained and distributed (generically termed post-breeding), when paternity is determined (and thus the culture is protected), and when monitoring cultivar genetic purity, regardless of whether the cultivars are clonal or seminal [64]. When legislation to protect cultivars is in effect (Act 9456, Brazil), the growth, development, and use of marker groups for post-breeding will be increasingly necessary for passion fruit cultivation, particularly because of the increase in the number of varieties that will be developed and made available to producers.

3. Conclusions, Perspectives, and Challenges

Considering the challenges of breeding passion fruit, as well as the available knowledge and conservation of the genetic variability of this genus, we believe that the following research activities should be prioritized: (i) the identification of new accessions to increase the representative breadth of germplasm banks, especially for wild species; (ii) the measurement of population genetics estimates that enable a true understanding of the genetic diversity and structure of passion fruit; (iii) phenotypic characterizations that contribute to both the useful evaluations of the germplasm for interspecific crosses and studies of the association between phenotypic and molecular data; (iv) research efforts devoted to identifying genomic regions associated with resistance to diseases; and (v) the potential use of transgenic strains previously evaluated in crosses targeted in breeding programs.
The recent research on the diversity of wild passion fruit species and the increasing use of molecular markers, particularly co-dominant markers, have made knowledge from population studies available and are promising for further genetic research on passion fruit. Although highly relevant for conservation and breeding activities, population studies of Passiflora are only in the initial stages. Coupled with a large gap in group population genetic research, the increasing availability of microsatellite markers for Passiflora species and the use of cross-amplification strategies to popularize marker use should increase the number of research studies. Further research should be performed to identify and characterize microsatellite loci because the current results indicate low allelic diversity among SSR loci. In this context, the use of strategies for sequencing and genotyping on a large scale will be important.
In parallel with the population estimates that must be performed for the genus Passiflora via molecular markers, strategies for the exploration and conservation of germplasm collections are also necessary to enable morpho-agronomic characterizations to be performed efficiently to increase the understanding of both neutral biological diversity and diversity that is subject to natural selection. In this way, the interactions involving the accessions present in banks, germplasm collections, and elite materials used in breeding programs will be enhanced.
Similar to the expected growth in microsatellite marker usage in population studies, recent genomic investigations of commercial passion fruit species have developed and characterized SNP markers. These studies should be promoted because they will encourage different types of research, as has occurred with the saturation of genetic maps, the identification of QTLs, and the exploitation of mapping by association. Collections, germplasms, or elite accessions can be employed in such a strategy, and thus, a detailed map of the genomic regions of interest can be achieved. Moreover, the development and use of large-scale genotyping should allow for the use of strategies for genome-wide selection (or simply genomic selection), enhancing the association of genetic diversity data with characteristics of agronomic interest. In addition, the use of GBS strategies should help to reduce the costs and time required for germplasm characterization and the selection of passion fruit genotypes.

Acknowledgments

The authors thank Leo C.D.H. Conceição, for suggestions; Zanon S. Gonçalves and João G. P. Vieira for help in preparing the illustrations presented in this review; Empresa Brasileira de Pesquisa Agropecuaria, Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB, RED0004/2012); EMBRAPA (Macro-Project Phase III); Fundação de Amparo á Pesquisa de São Paulo (FAPESP, 2008/52197-4); Conselho de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, PROCAD-NF2008); and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for a research fellowship to APS. This work is part of the doctoral thesis of the first author, who (Programa de Pós-Graduação em Genética e Biologia Molecular at the Universidade Estadual de Campinas/UNICAMP).

Supplementary Information

Table
Table S1. Descriptive and quantitative presentation of papers using molecular markers in the genus Passiflora.
Table S1. Descriptive and quantitative presentation of papers using molecular markers in the genus Passiflora.
Molecular MarkersGeneral Aim of the ArticleNo. of ArticleReferences
IsoenzymeEstimation of diversity (germplasm)3[118,119,120]
RFLPEstimation of diversity (germplasm)1[121]
RAPDEstimation of diversity (germplasm)15[7,8,58,62,63,80,81,122,123,124,125,126,127,128,129]
Characterization and confirmation of hybrids3[47,72,113]
Genetic mapping1[115]
Others2[114,130]
AFLPEstimation of diversity (germplasm)3[79,95,131]
Genetic mapping2[84,86]
SSREstimation of diversity (germplasm)4[95,96,97,98]
Characterization and confirmation of hybrids1[47]
Genetic mapping1[86]
Development, characterization and
selection of markers		7[85,86,87,88,89,90,91]
Cross-amplification2[87,92]
Others1[130]
RGAEstimation of diversity (germplasm)1[82]
Genetic mapping1[84]
ISSREstimation of diversity (germplasm)2[132,133]
SNPGenetic mapping1[84]
RGAEstimation of diversity (germplasm)1[134]
Genetic mapping1[84]
RFLP, restriction fragment length polymorphism; RAPD, random amplified polymorphic DNA; AFLP, amplified fragment length polymorphism; SSR, simple sequence repeat; RGA, resistance gene analogs; ISSR, inter-simple sequence repeat; SNP, single-nucleotide polymorphism.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jorgensen, P.M.; MacDougal, J.M. Taxonomic History of Passiflora. Mo. Bot. Gard. Available online: http://www.mobot.org/mobot/research/passiflora/taxonomic_history.shtml (accessed on 14 March 2014).
  2. Feuillet, C. Passifloraceae (passion flower family). In Flowering Plants of the Neotropics; Smith, N., Mori, S.A., Henderson, A., Stevenson, D.W., Held, S.V., Eds.; Princeton University Press: Oxford, MS, USA, 2004; pp. 286–287. [Google Scholar]
  3. Watson, L.; Dallwitz, M.J. The Families of Flowering Plants: Descriptions, Illustrations, Identification Retrieval. Available online: http://www.citeulike.org/user/Flit/article/728499 (accessed on 19 December 2012).
  4. Bernacci, L.C. Passifloraceae. In Flora Fanerogâmica do Estado de São Paulo; Wanderley, M.G.L., Shepherd, G.J., Giulietti, A.M., Melhem, T.S., Eds.; RIMA/FAPESP: São Paulo, Brazil, 2003; pp. 247–248. [Google Scholar]
  5. MacDougal, J.M.; Feuillet, C. Systematics. In Passiflora: Passionflowers of the World; Ulmer, T., Mac Dougal, J.M., Eds.; Timber Press: Portland, OR, USA, 2004; pp. 27–31. [Google Scholar]
  6. Barroso, G.M. Passifloraceae. In Rio de Jeneiro: Livros Técnicos e Científicos; Editora da Universidade de São Paulo: São Paulo, Brazil, 1978; Volume 1, pp. 194–197. [Google Scholar]
  7. Fajardo, D.; Angel, F.; Grum, M.; Tohme, J.; Lobo, M.; Roca, W.M.; Sanchez, I. Genetic variation analysis of the genus Passiflora L. using RAPD markers. Euphytica 1998, 101, 341–347. [Google Scholar] [CrossRef]
  8. Viana, A.P.; Pereira, T.N.S.; Pereira, M.G.; Souza, M.M.; Maldonado, J.V.M.; Amaral Junior, A.T. Genetic diversity among yellow passion fruit commercial genotypes and among Passiflora species using RAPD. Rev. Bras. Frutic. 2003, 25, 489–493. [Google Scholar] [CrossRef]
  9. Bernacci, L.C.; Cervi, A.C.; Milward-de-Azevedo, M.A.; Nunes, T.S.; Imig, D.C.; Mezzonato, A.C. Lista de Espécies da Flora do BRASIL. Jardim Botânico do Rio de Janeiro. Available online: http://floradobrasil.jbrj.gov.br/jabot/floradobrasil/FB182 (accessed on 20 January 2014). (In Portuguese)
  10. Ocampo, J.; d’Eeckenbrugge, J.C.; Jarvis, A. Distribution of the genus Passiflora L. diversity in Colombia and its potential as an indicator for biodiversity management in the coffee growing zone. Diversity 2010, 2, 1158–1180. [Google Scholar] [CrossRef] [Green Version]
  11. Muschner, V.C.; Lorenz, A.P.; Cervi, A.C.; Bonatto, S.L.; Souza-Chies, T.T.; Salzano, F.M.; Freitas, L.B. A first molecular phylogenetic analysis of Passiflora (Passifloracae). Am. J. Bot. 2003, 90, 1229–1238. [Google Scholar] [CrossRef]
  12. Feuillet, C.; MacDougal, J.M. A new infrageneric classification of Passiflora L. (Passifloraceae). Passiflora 2004, 13, 34–38. [Google Scholar]
  13. Killip, E.P. Publications field museum of natural history—Botanical series. In American Species of Passifloraceae; Field Museum of Natural History: London, UK, 1938; Volume 19, pp. 1–613. [Google Scholar]
  14. Escobar, L.K. A new subgenus and five new species in Passiflora (Passifloraceae) from South America. Annu. Mo. Bot. Gard. 1989, 76, 877–885. [Google Scholar] [CrossRef]
  15. Pádua, J.G. Análise Genetic de Espécies do Gênero Passiflora L. Com Base Em Abordagens Filogenéticas, Morfometricas e em Marcadores Microssatélites. Ph.D. Thesis, Universidade Estadual de São Paulo, Piracicaba, São Paulo, Brazil, July 2004. [Google Scholar]
  16. Muschner, V.C.; Zamberlan, P.M.; Bonatto, S.L.; Freitas, L.B. Phylogeny, biogeography and divergence times in Passiflora (Passifloraceae). Genet. Mol. Biol. 2012, 35, 1036–1043. [Google Scholar] [CrossRef]
  17. Freitas, L.B. História evolutiva das espécies de Passiflora L. de ocorrência no Rio Grande do Sul: Aspectos genéticos, estrutura populacional e filogenia. R. Bras. Bioci. 2011, 9, 41–47. (In Portuguese) [Google Scholar]
  18. Muschner, V.C. Filogenia Molecular, Taxas Evolutivas, Tempo de Divergência e Herança Organelar em Passiflora L. (Passifloraceae). Ph.D. Thesis, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, August 2005. [Google Scholar]
  19. Torsten, U.; John, M.M. Passiflora:Passionflowers of the World; Ulmer, T., Mac Dougal, J.M., Eds.; Timber Press: Portland Oregon, OR, USA, 2004; pp. 27–31. [Google Scholar]
  20. Hansen, A.K.; Escobar, L.K.; Gilbert, L.E.; Jansen, R.K. Paternal, maternal, and biparental inheritance of the chloroplast genome in Passiflora (Passifloraceae): Implications for phylogenetic studies. Am. J. Bot. 2007, 94, 42–46. [Google Scholar] [CrossRef]
  21. Mäder, G.; Zamberlan, P.M.; Fagundes, N.J.R.; Magnus, T.; Salzano, F.M.; Bonatto, S.L.; Freitas, L.B. The use and limits of ITS data in the analysis of intraspecific variation in Passiflora L. (Passifloraceae). Genet. Mol. Biol. 2010, 33, 99–108. [Google Scholar] [CrossRef]
  22. Cazé, A.L.R.; Mäder, G.; Bonatto, S.L.; Freitas, L.B. A molecular systematic analysis of Passiflora ovalis and Passiflora contracta (Passifloraceae). Phytotaxa 2013, 132, 39–46. [Google Scholar]
  23. Laiou, A.; Mandolini, L.A.; Piredda, R.; Bellarosa, R.; Simeone, M.C. DNA barcoding as a complementary tool for conservation and valorisation of forest resources. ZooKeys 2013, 365, 197–213. [Google Scholar] [CrossRef]
  24. Shneyer, V.S. DNA barcoding is a new approach in comparative genomics of plants. Russ. J. Genet. 2009, 45, 1267–1278. [Google Scholar] [CrossRef]
  25. Wetzel, M.M.V.S.; Gimenes, M.A.; Pádua, J.G.; José, S.C.B.R.; Neto, L.G.P. Conservação de espécies silvestres com potencial de utilização em programas de pré-melhoramento na coleção base da Embrapa. In Pré-melhoramento de Plantas. Estado da Arte e Experiências de Sucesso; Lopes, M.A., Fávero, A.P., Ferreira, M.A.J.F., Faleiro, F.G., Folle, S.M., Guimarães, E.P., Eds.; Embrapa Informações Tecnologicas: Brasilia, Brazil, 2011; pp. 99–122. (In Portuguese) [Google Scholar]
  26. Vanderplank, J. Passionflowers, 2nd ed.; Cassel: London, UK, 1996. [Google Scholar]
  27. Ital. In Maracujá: Cultura, Matéria Prima, Processamento e Aspectos Econômicos, 2nd ed.; Teixeira, C.G. (Ed.) ITAL: Campinas, Brazil, 1994; pp. 1–142. (In Portuguese)
  28. Oliveira, J.C. Melhoramento Genético de P. edulis f. Flavicarpa Deg. Visando Aumento de Produtividade. Ph.D. Thesis, Universidade Estadual de São Paulo, Jaboticabal, São Paulo, Brazil, 1980. [Google Scholar]
  29. Meletti, L.M.M.; Soares-Scott, M.D.; Bernacci, L.C. Caracterização fenotípica de três seleções de maracujazeiro-roxo (Passiflora edulis Sims). Rev. Bras. Frutic. 2005, 27, 268–272. (In Portuguese) [Google Scholar] [CrossRef]
  30. Meletti, L.M.M.; Bernacci, L.C.; Soares-Scott, M.D.; Azevedo Filho, J.A.; Martins, A.M. Variabilidade genética em caracteres morfológicos, agronômicos e citogenéticos de populações de maracujazeiro-doce (Passiflora alata Curtis). Rev. Bras. Frutic. 2003, 25, 275–278. (In Portuguese) [Google Scholar] [CrossRef]
  31. Cerqueira-Silva, C.B.M.; Cardoso-Silva, C.B.; Nonato, J.V.A.; Corrêa, R.X.; Oliveira, A.C. Genetic dissimilarity of “yellow” and “sleep” passion fruit accessions based on the fruits physical-chemical characteristics. Crop. Breed. Appl. Biotechnol. 2009, 9, 210–218. [Google Scholar] [CrossRef]
  32. Junqueira, N.T.V.; Anjos, J.R.N.; Silva, A.N.P.; Chaves, R.C.; Gomes, A.C. Reaction to diseases and yield of eleven cultivars of sour-passion fruit cultivated with no pesticides. Pesq. Agropec. Bras. 2003, 38, 1005–1010. [Google Scholar] [CrossRef]
  33. Junqueira, N.T.V.; Braga, M.F.; Faleiro, F.G.; Peixoto, J.R.; Bernacci, L.C. Potencial de espécies silvestres de maracujazeiro como fonte de resistência a de doenças. In Maracujá: Germoplasma e melhoramento genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 79–108. (In Portuguese) [Google Scholar]
  34. Oliveira, E.J.; Soares, T.L.; Barbosa, C.J.; Santos Filho, H.P.; Jesus, O.N. Severidade de doenças em maracujazeiro para identificação de fontes de resistência em condições de campo. Rev. Bras. Frutic. 2013, 35, 485–492. (In Portuguese) [Google Scholar] [CrossRef]
  35. Hansen, A.K.; Gibert, L.E.; Simpson, B.B.; Downie, S.R.; Cervi, A.C.; Jansen, R.K. Phylogenetic relationships and chromosome number evolution in Passiflora. Syst. Bot. 2006, 31, 138–150. [Google Scholar] [CrossRef]
  36. Soares-Scott, M.D.; Meletti, L.M.M.; Bernacci, L.C.; Passos, I.R.S. Citogenética clássica e molecular em passifloras. In Maracujá: Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 210–240. (In Portuguese) [Google Scholar]
  37. Souza, M.M.; Pereira, T.N.S.; Vieira, M.L.C. Cytogenetic studies in some species of Passiflora L. (Passifloraceae): A review emphasizing Brazilian species. Braz. Arch. Biol. Technol. 2008, 51, 247–258. [Google Scholar] [CrossRef]
  38. Melo, N.F.; Cervi, A.C.; Guerra, M. Kariology and citotaxonomy of the genus Passiflora L. Plant. Syst. Evol. Berl. 2001, 226, 68–84. [Google Scholar]
  39. Melo, N.F.; Guerra, M. Variability of the 5S and rDNA sites in Passiflora L. with species with distinct base chromosome numbers. Ann. Bot. 2003, 92, 309–316. [Google Scholar] [CrossRef]
  40. Cuco, S.M.; Vieira, M.L.C.; Modin, M.; Aguiar-Perecin, M.L.R. Comparative karyotipe analysis of three Passiflora L. species and cytogenetic characterization of somatic hybrids. Caryologia 2005, 58, 220–228. [Google Scholar] [CrossRef]
  41. Praça, M.M.; Carvalho, R.C.; Marcelino, F.C.; Medonça, M.A.C. Morphological aspects of Passiflora edulis f. flavicarpa chromossomes using acridine orange bading and rDNA-FISH tools. Caryologia 2008, 61, 154–159. [Google Scholar] [CrossRef]
  42. Penha, H.A. Construção de uma Biblioteca Genômica de Passiflora Edullis f. Flavicarpa Inserida em BACs (Bacterial Artificial Chromosome) e Mapeamento Cromossômico Usando Hibridação in situ Fluorescente. Ph.D. Thesis, Universidade Estadual de São Paulo, Piracicaba, São Paulo, Brazil, July 2012. [Google Scholar]
  43. Santos, A.A. Exploração de uma Biblioteca Genomica de Passiflora edulis f. flavicarpa por Sequenciamento de BAC-ends. Master Thesis, Universidade Estadual de São Paulo, Piracicaba, São Paulo, Brazil, July 2013. [Google Scholar]
  44. Yotoko, K.S.C.; Dornelas, M.C.; Togni, P.D.; Fonseca, T.C.; Salzano, F.M.; Bonatto, S.L.; Freitas, L.B. Does variation in genome sizes reflect adaptive or neutral processes? New clues from Passiflora. PLoS One 2011, 6, e18212. [Google Scholar] [CrossRef]
  45. Peixoto, M. Problemas e perspectivas do maracujá ornamental. In Maracujá: Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 456–464. (In Portuguese) [Google Scholar]
  46. Embrapa Cerrados—Memória do Lançamento dos Híbridos de Maracujazeiro Ornamental. Available online: http://www.cpac.embrapa.br/lancamentoornamental/ (accessed on 20 May 2014). (In Portuguese)
  47. Santos, E.A.; Souza, M.M.; Abreu, P.P.; Conceição, L.D.H.C.S.; Araujo, I.S.; Viana, A.P.; Almeida, A.F.; Freitas, J.C.O. Confirmation and characterization of interspecific hybrids of Passiflora L. (Passifloraceae) for ornamental use. Euphytica 2012, 184, 389–399. [Google Scholar] [CrossRef]
  48. Grupo Passiflora—UESC. Available online: http://www.passifloras.org (accessed on 20 May 2014). (In Portuguese)
  49. Abreu, P.P.; Souza, M.M.; Santos, E.A.; Pires, M.V.; Pires, M.M.; Almeida, A.F. Passion flower hybrids and their use in the ornamental plant market: Perspectives for sustainable development with emphasis on Brazil. Euphytica 2009, 166, 307–315. [Google Scholar] [CrossRef]
  50. Costa, A.M.; Tupinambá, D.D.O. Maracujá e suas propriedade medicinais—Estado da arte. In Maracujá: Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 475–508. (In Portuguese) [Google Scholar]
  51. Amata, R.L.; Otipa, M.J.; Waiganjo, M.; Wabule, M.; Thuranira, E.G.; Erbaugh, M.; Miller, S. Incidence, prevalence and severity of passion fruit fungal diseases in major production regions of Kenya. J. Appl. Biosci. 2009, 20, 1146–1152. [Google Scholar]
  52. Dhawan, K.; Dhawan, S.; Sharma, A. Passiflora: A review update. J. Ethnopharmacol. 2004, 94, 1–23. [Google Scholar] [CrossRef]
  53. Zeraik, M.L.; Pereira, C.A.M.; Zuin, V.G.; Yariware, J.H. Maracujá: Um alimento funcional? Rev. Bras. Farmacogn. 2010, 20, 459–471. (In Portuguese) [Google Scholar] [CrossRef]
  54. Faleiro, F.G.; Junqueira, N.T.V.; Braga, M.F.; Peixoto, J.R. Pré-melhoramento do maracujá. In Pré-Melhoramento de Plantas. Estado da Arte e Experiências de Sucesso; Lopes, M.A., Fávero, A.P., Ferreira, M.A.J.F., Faleiro, F.G., Folle, S.M., Guimarães, E.P., Eds.; Embrapa Informações Tecnologicas: Brasilia, Brazil, 2011; pp. 549–570. (In Portuguese) [Google Scholar]
  55. Ngan, A.; Conduit, R. A double-blind, placebo-controlled investigation of the effects of Passiflora incarnata (passionflower) herbal tea on subjective sleep quality. Phytother. Res. 2011, 25, 1153–1159. [Google Scholar] [CrossRef]
  56. Konta, E.M.; Almeida, M.R.; Amaral, C.L.; Darin, J.D.C.; Rosso, V.V.; Mercadante, A.Z.; Antunes, L.M.G.; Bianchi, M.L.P. Evaluation of the antihypertensive properties of yellow passion fruit pulp (Passiflora edulis Sims f. flavicarpa deg.) in spontaneously hypertensive rats. Phytother. Res. 2014, 28, 28–32. [Google Scholar] [CrossRef]
  57. Souza, J.S.I.; Meletti, L.M.M. Maracujá: Espécies, Variedades, Cultivo; Fealq: Piracicaba, Brazil, 1997; p. 179. (In Portuguese) [Google Scholar]
  58. Bellon, G.; Faleiro, F.G.; Junqueira, K.P.; Junqueira, N.T.V.; Santos, E.C.; Braga, M.F.; Guimarães, C.T. Variabilidade genética de acessos silvestres e comerciais de Passiflora edulis Sims. com base em marcadores RAPD. Rev. Bras. Frutic. 2007, 29, 124–127. (In Portuguese) [Google Scholar] [CrossRef]
  59. Ferreira, F.R. Recursos genéticos de Passiflora. In Maracujá: Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 41–50. (In Portuguese) [Google Scholar]
  60. IBGE—Diretoria de Pesquisas, Coordenação de Agropecuária, Produção Agrícola Municipal, 2012. Available online: http://www.ibge.gov.br/home/estatistica/economia/pam/2012/default_perm_xls.shtm (accessed on 14 March 2014). (In Portuguese)
  61. Meletti, L.M.M.; Soares-Scott, M.D.; Bernacci, L.C.; Passos, I.R.S. Melhoramento genético do maracujá: passado e futuro. In Maracujá: Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 55–78. (In Portuguese) [Google Scholar]
  62. Cerqueira-Silva, C.B.M.; Conceição, L.D.H.C.S.; Santos, E.S.L.; Cardoso-Silva, C.B.; Pereira, A.S.; Oliveira, A.C.; Corrêia, R.X. Genetic variability in wild genotypes of Passiflora cincinnata based on RAPD markers. Genet. Mol. Res. 2010, 9, 2421–2428. [Google Scholar] [CrossRef]
  63. Cerqueira-Silva, C.B.M.; Santos, E.S.L.; Conceição, L.D.H.C.S.; Cardoso-Silva, C.B.; Pereira, A.S.; Oliveira, A.C.; Corrêa, R.X. Short communication genetic variation in a wild population of the sleep passion fruit (Passiflora setacea) based on molecular markers. Genet. Mol. Res. 2012, 11, 731–738. [Google Scholar] [CrossRef]
  64. Pereira, M.G.; Pereira, T.N.S.; Viana, A.P. Marcadores moleculares aplicados ao melhoramento genético do maracujazeiro. In Maracujá: Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 275–292. (In Portuguese) [Google Scholar]
  65. Meletti, L.M.M.; Santos, R.R.; Minami, K. Melhoramento do maracujazeiro-amarelo: Obtenção do cultivar “composto IAC-27” 1,2. Sci. Agric. 2000, 57, 491–498. (In Portuguese) [Google Scholar] [CrossRef]
  66. Rao, V.R.; Hodgkin, T. Genetic diversity and conservation and utilization of plant genetic resources. Plant Cell Tissue Organ Cult. 2002, 68, 1–19. [Google Scholar]
  67. Nass, L.L. Pré-melhoramento vegetal. In Pré-melhoramento de Plantas. Estado da Arte e Experiências de Sucesso; Lopes, M.A., Fávero, A.P., Ferreira, M.A.J.F., Faleiro, F.G., Folle, S.M., Guimarães, E.P., Eds.; Embrapa Informações Tecnologicas: Brasilia, Brazil, 2011; pp. 23–38. (In Portuguese) [Google Scholar]
  68. Da Silva, A.R.; Fávero, A.P.; Alves, A.A.C.; Sartorato, A.; da Silva Noronha, A.C.; Albuquerque, A.C.S.; de Souza Peñaloza, A.D.P.; da Silva Souza, A.; Brondani, C.; Pacheco, C.A.P.; et al. Pré-Melhoramento de Plantas. Estado da Arte e Experiências de Sucesso; Lopes, M.A., Fávero, A.P., Ferreira, M.A.J.F., Faleiro, F.G., Folle, S.M., Guimarães, E.P., Eds.; Embrapa Informações Tecnologicas: Brasilia, Brazil, 2011; pp. 1–614. (In Portuguese) [Google Scholar]
  69. SCOPUS Database. Available online: http://www.scopus.com (accessed on 20 May 2014).
  70. Thomson Reuters Web of Science (formerly ISI Web of Knowledge). Available online: http://apps.webofknowledge.com (accessed on 20 May 2014).
  71. Maluf, W.R.; Silva, J.R.; Grattapaglia, D.; Toma-Braghini, M.; Corte, R.D.; Machado, M.A.; Caldas, L.S. Genetic gains via clonal selection in passion fruit Passiflora edulis Sims. Rev. Bras. Genet. 1989, 12, 833–841. [Google Scholar]
  72. Junqueira, K.P.; Faleiro, F.G.; Junqueira, N.T.V.; Bellon, G.; Ramos, J.D.; Braga, M.F.; Souza, L.S. Confirmação de híbridos interespecíficos artificiais no gênero Passiflora por meio de marcadores RAPD. Rev. Bras. Frutic. 2008, 30, 191–196. (In Portuguese) [Google Scholar] [CrossRef]
  73. Junqueira, N.T.V.; Santos, E.C.; Junqueira, K.P.; Faleiro, F.G.; Bellon, G.; Braga, M.F. Características físico-químicas e produtividade de acessos de Passiflora nitida Kunth procedentes do Centro-Norte do Brasil. Rev. Bras. Frutic. 2010, 32, 791–797. (In Portuguese) [Google Scholar] [CrossRef]
  74. Cerqueira-Silva, C.B.M.; Moreira, C.N.; Figueira, A.R.; Corrêa, R.X.; Oliveira, A.C. Detection of resistance gradient to the passion fruit woodiness virus and selection of yellow passion fruit plants in field conditions. Genet. Mol. Res. 2008, 7, 1209–1216. [Google Scholar] [CrossRef]
  75. Silva, A.S.; Oliveira, E.J.; Haddad, F.; Laranjeira, F.F.; Jesus, O.N.; Oliveira, S.A.S.; Costa, M.A.P.C.; Freitas, J.P.X. Identification of passion fruit genotypes resistant to Fusarium oxysporum f. sp. passiflorae. Trop. Plant Pathol. 2013, 38, 236–242. [Google Scholar]
  76. Faleiro, F.G.; Junqueira, N.T.V.; Braga, M.F.; Junqueira, K.P.; Bellon, G.; Fonseca, K.G.; Peixoto, J.R. Cruzamentos inter-específicos e retrocruzamentos visando à resistência do maracujazeiro a doenças. In IV Congresso Brasileiro de Melhoramento de Plantas; 2007; Volume 4. (In Portuguese) [Google Scholar]
  77. Fonseca, K.G.; Faleiro, F.G.; Bellon, G.; Junqueira, K.P.; Junqueira, N.T.V.; Braga, M.F.; Peixoto, J.R. Caracterização de plantas RC4 e recuperação do genoma recorrente com base em marcadores RAPD. In IV Congresso Brasileiro de Melhoramento de Plantas; Repositório Institucional: Brasília, Brazil, 2007. (In Portuguese) [Google Scholar]
  78. NCBI—National Center for Biotechnology Information. Available online: http://www.ncbi.nlm.nih.gov/ (accessed on 20 May 2014).
  79. Ganga, R.M.D.; Ruggiero, C.; Lemos, E.G.M.; Grili, G.V.G.; Gonçalves, M.M.; Chagas, E.A.; Wickert, E. Diversidade genética em maracujazeiro-amarelo utilizando marcadores moleculares fAFLP. Rev. Bras. Frutic. 2004, 26, 494–498. (In Portuguese) [Google Scholar] [CrossRef]
  80. Cerqueira-Silva, C.B.M.; Conceição, L.D.H.C.S.; Cardoso-Silva, C.B.; Pereira, A.S.; Santos, E.S.L.; Oliveira, A.C.; Correa, R.X. Genetic diversity of yellow passion fruit (Passiflora edulis Sims) based on RAPD markers. Crop. Breed. Appl. Biotechnol. 2010, 10, 154–159. [Google Scholar] [CrossRef]
  81. Junqueira, K.P.; Faleiro, F.G.; Ramos, J.D.; Bellon, G.; Junqueira, N.T.V.; Braga, M.F. Variabilidade genética de acessos de maracujá-suspiro com base em marcadores moleculares. Rev. Bras. Frutic. 2007, 29, 571–575. (In Portuguese) [Google Scholar] [CrossRef]
  82. Paula, M.S.; Fonseca, M.E.N.; Boiteux, L.S.; Peixoto, J.R. Genetic characterization of Passiflora species via resistance genes analog markers. Rev. Bras. Frutic. 2010, 32, 222–229. [Google Scholar] [CrossRef]
  83. Gonçalves, Z.S. Genetic Diversity in Passion Fruit (Passiflora spp.) with Use of the Resistance Gene Analogs Markers (RGA) Aiming the Genetic Improvement. Graduation Thesis, Universidade Estadual do Sudoeste da Bahia, Itapetinga, Bahia, Brazil, September 2013. [Google Scholar]
  84. Pereira, G.S.; Nunes, E.S.; Laperuta, L.D.C.; Braga, M.F.; Penha, H.A.; Diniz, A.L.; Munhoz, C.F.; Gazaffi, R.; Garcia, A.A.F.; Vieira, M.L.C. Molecular polymorphism and linkage analysis in sweet passion fruit, an outcrossing species. Ann. Appl. Biol. 2013, 162, 347–361. [Google Scholar] [CrossRef]
  85. Oliveira, E.J.; Pádua, J.G.; Zucchi, M.I.; Camargo, L.E.A.; Fungaro, M.H.P.; Vieira, M.L.C. Development and characterization of microsatellite markers from the yellow passion fruit (Passiflora edulis f. flavicarpa). Mol. Ecol. Notes 2005, 5, 331–333. [Google Scholar] [CrossRef]
  86. Oliveira, E.J.; Vieira, M.L.C.; Garcia, A.A.F.; Munhoz, C.E.F.; Margarido, G.R.A.; Consoli, L.; Matta, F.P.; Moraes, M.C. An integrated molecular map of yellow passion fruit based on simultaneous maximum-likelihood estimation of linkage and linkage phases. J. Am. Soc. Hortic. Sci. 2008, 133, 35–41. [Google Scholar]
  87. Cerqueira-Silva, C.B.M.; Santos, E.S.L.; Vieira, J.G.P.; Mori, G.M.; Jesus, O.N.; Correa, R.X.; Souza, A.P. New microsatellite markers for wild and commercial species of Passiflora (Passifloraceae) and cross-amplification. Appl. Plant Sci. 2014, 2, 1–5. [Google Scholar]
  88. Pádua, J.G.; Oliveira, E.J.; Zucchi, M.I.; Oliveira, G.C.X.; Camargo, L.E.A.; Vieira, M.L.C. Isolation and characterization of microsatellite markers from the sweet passion fruit (Passiflora alata Curtis: Passifloraceae). Mol. Ecol. Notes 2005, 5, 863–865. [Google Scholar] [CrossRef]
  89. Penha, H.A.; Pereira, G.S.; Zucchi, M.I.; Diniz, A.L.; Vieira, M.L.C.; Flachowsky, H. Development of microsatellite markers in sweet passion fruit, and identification of length and conformation polymorphisms within repeat sequences. Plant Breed. 2013, 132, 731–735. [Google Scholar] [CrossRef]
  90. Cerqueira-Silva, C.B.M.; Santos, E.S.L.; Souza, A.M.; Mori, G.M.; Oliveira, E.J.; Corrêa, R.X.; Souza, A.P. Development and characterization of microsatellite markers for the wild South American Passiflora cincinnata (Passifloraceae). Am. J. Bot. 2012, 99, e170–e172. [Google Scholar] [CrossRef]
  91. Cazé, A.L.R.; Kriedt, R.A.; Beheregaray, L.B.; Bonatto, S.L.; Freitas, L.B. Isolation and characterization of microsatellite markers for Passiflora contracta. Int. J. Mol. Sci. 2012, 13, 11343–11348. [Google Scholar] [CrossRef]
  92. Oliveira, G.A.F.; Pádua, J.G.; Costa, J.L.; Jesus, O.N.; Carvalho, F.M.; Oliveira, E.J. Cross-species amplification of microsatellite loci developed for Passifloraedulis Sims. in related Passiflora Species. Braz. Arch. Biol. Technol. 2013, 56, 785–792. [Google Scholar] [CrossRef]
  93. Silva, M.A.A.; Souza, M.M.; Silva, G.S.; Melo, C.A.F.; Correa, R.X.; Araujo, I.S.; Conceição, L.D.H.C.S. Analysis of transferability of microsatellite primers (SSR) in five wild Passiflora species and intraspecific genetic diversity in P. alata. Genet. Mol. Res. 2013. accepted article. [Google Scholar]
  94. Paiva, C.L. Descritores Morfológicos e Marcadores Microssatélites na Caracterização de Germoplasma de Passiflora spp. Master Thesis, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, Brazil, April 2013. [Google Scholar]
  95. Ortiz, D.C.; Bohórquez, A.; Duque, M.C.; Tohme, J.; Cuéllar, D.; Vásquez, T.M. Evaluating purple passion fruit (Passiflora edulis Sims f. edulis) genetic variability in individuals from commercial plantations in Colombia. Genet. Resour. Crop. Evol. 2012, 59, 1089–1099. [Google Scholar]
  96. Amorim, J.S.; Souza, M.M.; Viana, A.J.C.; Correa, R.X.; Araujo, I.S.; Ahnert, D. Cytogenetic, molecular and morphological characterization of Passiflora capsularis L. and Passiflora rubra L. Plant. Syst. Evol. 2014, 300, 1147–1162. [Google Scholar]
  97. Reis, R.V.; Oliveira, E.J.; Viana, A.P.; Pereira, T.N.S.; Pereira, M.G.; Silva, M.G.M. Diversidade genética em seleção recorrente de maracujazeiro-amarelo detectada por marcadores microssatélites. Pesq. Agropec. Bras. 2011, 46, 51–57. (In Portuguese) [Google Scholar] [CrossRef]
  98. Reis, R.V.; Viana, A.P.; Oliveira, E.J.; Silva, M.G.M. Phenotypic and molecular selection of passion fruit progenies in the second cycle of recurrent selection. Crop. Breed. Appl. Biotechnol. 2012, 12, 17–24. [Google Scholar]
  99. Alves, E.O.S.; Cerqueira-Silva, C.B.M.; Souza, A.M.; Santos, C.A.F.; Lima Neto, F.P.; Corrêa, R.X. Short communication comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. Genet. Mol. Res. 2012, 11, 591–596. [Google Scholar] [CrossRef]
  100. Sesli, M.; Yegenoglu, E.D. Comparison of similarity coefficients used for cluster analysis based on RAPD markers in wild olives. Genet. Mol. Res. 2010, 9, 2248–2253. [Google Scholar] [CrossRef]
  101. Balestre, M.; Von Pinho, R.G.; Souza, J.C.; Lima, J.L. Comparison of maize similarity and dissimilarity genetic coefficients based on microsatellite markers. Genet. Mol. Res. 2008, 7, 695–705. [Google Scholar]
  102. Gonçalves, L.S.; Rodrigues, R.; Amaral, A.T.; Karasawa, M.; Sudré, C.P. Comparison of multivariate statistical algorithms to cluster tomato heirloom accessions. Genet. Mol. Res. 2008, 7, 1289–1297. [Google Scholar]
  103. Cerqueira-Silva, C.B.M.; Cardoso-Silva, C.B.; Conceicao, L.D.H.C.S.; Nonato, J.V.A.; Oliveira, A.C.; Correa, R.X. Comparison of coefficients and distance measurements in passion fruit plants based on molecular markers and physicochemical descriptors. Genet. Mol. Res. 2009, 8, 870–879. [Google Scholar]
  104. Vieira, M.L.C.; Oliveira, E.J.; Matta, F.P.; Pádua, J.G.; Monteiro, M. Métodos biotecnológicos aplicados ao melhoramento genético do maracujá. In Maracujá:Germoplasma e Melhoramento Genético; Faleiro, F.G., Junqueira, N.T.V., Braga, M.F., Eds.; Embrapa Cerrados: Planaltina, Brazil, 2005; pp. 410–454. (In Portuguese) [Google Scholar]
  105. Alfenas, P.F.; Braz, A.S.K.; Torres, L.B.; Santana, E.N.; Nascimento, A.V.S.; Carvalho, M.G.; Otoni, W.C.; Zerbini, F.M. Transgenic passion fruit expressing RNA derived from Cowpea aphid-borne mosaic virus is resistant to passion fruit woodiness disease. Fitopatol. Bras. 2005, 30, 33–38. [Google Scholar] [CrossRef]
  106. Trevisan, F.; Maciel, S.C.; Mendes, B.M.J.; Vieira, M.L.C.; Rezende, J.A.M.; Meletti, L.M.M. Resistance to passion fruit woodiness virus in transgenic passion flower expressing the virus coat protein gene. Plant Dis. 2006, 90, 1026–1030. [Google Scholar] [CrossRef]
  107. Monteiro-Hara, A.C.B.A.; Jadão, A.S.; Mendes, B.M.J.; Rezende, J.A.M.; Trevisan, F.; Mello, A.P.O.A.; Vieira, M.L.C.; Meletti, L.M.M.; Piedade, S.M.S. Genetic transformation of passionflower and evaluation of r1 and r2 generations for resistance to Cowpea aphid borne mosaic virus. Plant Dis. 2011, 95, 1021–1025. [Google Scholar] [CrossRef]
  108. Freitas, D.S.; Coelho, M.C.F.; Souza, M.T.; Marques, A.; Ribeiro, B.M. Introduction of the anti-apoptotic baculovirus p35 gene in passion fruit induces herbicide tolerance, reduced bacterial lesions, but does not inhibits passion fruit woodiness disease progress induced by cowpea aphid-borne mosaic virus (CABMV). Biotechnol. Lett. 2007, 29, 79–87. [Google Scholar] [CrossRef]
  109. Nascimento, A.V.S. Estudo de Isolados Brasileiros de Potuvirus Causadores de Endurecimento dos Frutos do Maracujazeiro e Análise da Resistência à Doença em Linhagens Transgênicas R1 de Maracujá-Amarelo. Ph.D. Thesis, Universidade Federal de Viçosa, Minas Gerais, Brazil, August 2006. [Google Scholar]
  110. Monteiro, M. Transformação Genetica de Maracujá Amarelo Visando Resistência à Xanthomonasaxonopodis PV. Passiflorae. Ph.D. Thesis, Universidade Estadual de São Paulo, Piracicaba, São Paulo, Brazil, April 2005. [Google Scholar]
  111. Pino, A.P.C. Transformação Genética de Maracujazeiro (Passiflora Alata Curtis) Para Resistência ao Cowpea Aphid-Borne Mosaic Virus (CABMV); Universidade Estadual de São Paulo: Piracicaba, São Paulo, Brazil, August 2010. (In Portuguese) [Google Scholar]
  112. Kirk, H.; Freeland, J.R. Applications and implications of neutral versus non-neutral markers in molecular ecology. Int. J. Mol. Sci. 2011, 12, 3966–3988. [Google Scholar] [CrossRef]
  113. Conceição, L.D.H.C.S.; Belo, G.O.; Souza, M.M.; Santos, S.F.; Cerqueira-Silva, C.B.M.; Correa, R.X. Confirmation of cross-fertilization using molecular markers in ornamental passion flower hybrids. Genet. Mol. Res. 2011, 10, 47–52. [Google Scholar] [CrossRef]
  114. Fonseca, K.G.; Faleiro, F.G.; Peixoto, J.R.; Junqueira, N.T.V.; Silva, M.S.; Bellon, G.; Junqueira, K.P.; Vaz, C.F. Análise da recuperação do genitor recorrente em maracujazeiro-azedo por meio de marcadores RAPD. Rev. Bras. Frutic. 2009, 31, 145–153. (In Portuguese) [Google Scholar] [CrossRef]
  115. Carneiro, M.S.; Camargo, L.E.A.; Coeloho, A.S.G.; Vencovsky, R.; Leite, R.P.; Stenzel, N.M.; Vieira, M.L.C. RAPD-based genetic linkage maps of yellow passion fruit (Passiflora edulis Sims. f. flavicarpa Deg.). Genome 2002, 45, 670–678. [Google Scholar] [CrossRef]
  116. Lopes, R.; Lopes, M.T.G.; Carneiro, M.S.; Matta, F.P.; Camargo, L.E.A.; Vieira, M.L.C. Linkage and mapping of resistance genes to Xanthomonas axonopodis pv. passiflorae in yellow passion fruit. Genome 2006, 49, 17–29. [Google Scholar] [CrossRef]
  117. Elshire, R.J.; Glaubitz, J.C.; Sun, Q.; Poland, J.A.; Kawamoto, K.; Buckler, E.S.; Mitchell, S.E. A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS One 2011, 6, e19379. [Google Scholar]
  118. Segura, S.D.; Coppens d’Eeckenbrugge, G.; Ollitrault, P. Isozyme variation in five species of Passflora subgenus Tacsonia and Passiflora manicata. Proc. Interam.Soc. Trop. Hort. 1998, 42, 260–266. [Google Scholar]
  119. Segura, S.D.; Coppens d’Eeckenbrugge, G.; Ocampo, C.H.; Ollitrault, P. Isozyme variation in Passiflora subgenera Tacsonia and Manicata. Relationships between cultivated and wild species. Genet. Resour. Crop. Evol. 2003, 50, 417–427. [Google Scholar] [CrossRef]
  120. Segura, S.D.; Coppens d’Eeckenbrugge, G.; Ocampo, C.H.; Ollitrault, P. Isozyme variation in Passiflora subgenus Tacsonia: Geographic and interspecific differentiation among the three most common species. Genet. Resour. Crop. Evol. 2005, 52, 455–463. [Google Scholar] [CrossRef]
  121. Sánchez, I.; Angel, F.; Grum, M.; Duque, M.C.; Lobo, M.; Thome, J.; Roca, W. Variability of chloroplast DNA in the genus Passiflora L. Euphytica 1999, 106, 15–26. [Google Scholar] [CrossRef]
  122. Aukar, A.P.A.; Lemos, E.G.M.; Oliveira, J.C.O. Genetic variations among passion fruit species using RAPD markers. Rev. Bras. Frutic. 2002, 24, 738–740. [Google Scholar] [CrossRef]
  123. Bellon, G.; Faleiro, F.G.; Peixoto, J.R.; Junqueira, K.P.; Junqueira, N.T.V.; Fonsceca, K.G.; Braga, M.F. Variabilidade genética de acessos obtidos de populações cultivadas e silvestres de maracujazeiro-doce com base em marcadores rapd. Rev. Bras. Frutic 2009, 31, 197–202. (In Portuguese) [Google Scholar] [CrossRef]
  124. Castro, A.P.G.; Faleiro, F.G.; Carvalho, D.D.C.; Fonseca, K.G.; Vilela, M.F.; Junqueira, N.T.V.; Cares, J.E. Genetic variability of Passiflora spp. from commercial fields in the Federal District, Brazil. Ciência Rural 2011, 41, 996–1002. [Google Scholar]
  125. Cerqueira-Silva, C.B.M.; Cardoso-Silva, C.B; Santos, E.S.L.; Conceição, L.D.H.C.S.; Pereira, A.S.; Oliveira, A.C.; Corrêa, R.X. Genetic diversity in wild species of passion fruit (Passiflora trintae) based on molecular markers. Genet. Mol. Res. 2010, 9, 2123–2130. [Google Scholar]
  126. Crochemore, M.L.; Molinari, H.B.; Stenzel, M.N. Agro-morphological characterization of passion fruit (Passiflora spp.) germplasm. Rev. Bras. Frutic. 2003, 25, 5–10. (In Portuguese) [Google Scholar] [CrossRef]
  127. Pérez-Almeida, I.; Vásquez García, S.; Pérez, D.; Rosa, O.; Salazar, E. Huella genetic de genotipos silvestres y comerciales de Passiflora spp. utilizando patrones RAPD. Bioagro 2009, 21, 203–208. (In Spanish) [Google Scholar]
  128. Pérez-Almeida, I.; Vásquez García, S.; Pérez, D.; Salazar, E. Genetic diversity in six species of Passiflora spp. using RAPD Introducción. Rev. Fac. Agron. 2010, 27, 347–359. [Google Scholar]
  129. Viana, A.J.C.; Souza, M.M.; Araújo, I.S.; Corrêa, R.X.; Ahnert, D. Genetic diversity in Passifloraspecies determined by morphological and molecular characteristics. Biologia Plantarum 2010, 54, 535–538. [Google Scholar] [CrossRef]
  130. Ferreira, T.G.T.; Penha, H.A.; Zucchi, M.I.; Santos, A.A.; Hanai, L.R.; Junqueira, N.; Braga, N.F.; Vencovsky, R.; Vieira, M.L.C. Outcrossing rate in sweet passion fruit based on molecular markers. Plant Breed. 2010, 129, 727–730. [Google Scholar] [CrossRef]
  131. Segura, S.D.; Coppens d’Eeckenbrugge, G.; Bohorquez, A.; Ollitrault, P.; Tohmé, J. An AFLP diversity study of the genus Passiflora focusing on subgenus Tacsonia. Genet. Resour. Crop. Evol. 2002, 49, 111–123. [Google Scholar] [CrossRef]
  132. Costa, J.L.; Jesus, O.N.; Oliveira, G.A.F.; Oliveira, E.J. Effect of selection on genetic variability in yellow passion fruit. Crop. Breed. Appl. Biotechnol. 2012, 12, 253–260. [Google Scholar]
  133. Santos, L.F.; Oliveira, E.J.; Silva, A.S.; Carvalho, S.M.; Costa, J.L.; Pádua, J.C. ISSR markers as a tool for the assessment of genetic diversity in passiflora. Biochem. Genet. 2011, 49, 540–554. [Google Scholar] [CrossRef]
  134. Fonseca-Trujillo, N.; Márquez-Cardona, M.P.; Moreno-Osorio, J.H.; Terán-Pérez, W.; Schuler-García, I. Caracterización molecular de materiales cultivados de gulupa (Passiflora edulis f. edulis). Univ. Sci. 2009, 14, 135–140. (In Spanish) [Google Scholar]

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MDPI and ACS Style

Cerqueira-Silva, C.B.M.; Jesus, O.N.; Santos, E.S.L.; Corrêa, R.X.; Souza, A.P. Genetic Breeding and Diversity of the Genus Passiflora: Progress and Perspectives in Molecular and Genetic Studies. Int. J. Mol. Sci. 2014, 15, 14122-14152. https://doi.org/10.3390/ijms150814122

AMA Style

Cerqueira-Silva CBM, Jesus ON, Santos ESL, Corrêa RX, Souza AP. Genetic Breeding and Diversity of the Genus Passiflora: Progress and Perspectives in Molecular and Genetic Studies. International Journal of Molecular Sciences. 2014; 15(8):14122-14152. https://doi.org/10.3390/ijms150814122

Chicago/Turabian Style

Cerqueira-Silva, Carlos Bernard M., Onildo N. Jesus, Elisa S. L. Santos, Ronan X. Corrêa, and Anete P. Souza. 2014. "Genetic Breeding and Diversity of the Genus Passiflora: Progress and Perspectives in Molecular and Genetic Studies" International Journal of Molecular Sciences 15, no. 8: 14122-14152. https://doi.org/10.3390/ijms150814122

APA Style

Cerqueira-Silva, C. B. M., Jesus, O. N., Santos, E. S. L., Corrêa, R. X., & Souza, A. P. (2014). Genetic Breeding and Diversity of the Genus Passiflora: Progress and Perspectives in Molecular and Genetic Studies. International Journal of Molecular Sciences, 15(8), 14122-14152. https://doi.org/10.3390/ijms150814122

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