Next Article in Journal
Influence of Ripening Process on Pecan Nut (Carya illinoinensis) Kernel Quality: Phenolic Profile, Antioxidant Activity, and Carbohydrate Composition
Previous Article in Journal
Bibliometrics and Visual Analysis of Non-Destructive Testing Technology for Fruit Quality
Previous Article in Special Issue
Comparative Transcriptome Analysis Reveals Differential Gene Expression Pattern Associated with Heat Tolerance in Pepper (Capsicum annuum L.)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Insight into the Phylogenetic Relationships and Evolutionary History of Pepper Cultivars (Capsicum annuum L.) through Comparative Analyses of Plastomes

1
Institute of Life Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea
2
Department of Biological Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea
3
Interdisciplinary Graduate Program in BIT Medical Convergence, Kangwon National University, Chuncheon 24341, Republic of Korea
*
Author to whom correspondence should be addressed.
Horticulturae 2023, 9(10), 1092; https://doi.org/10.3390/horticulturae9101092
Submission received: 11 September 2023 / Revised: 22 September 2023 / Accepted: 27 September 2023 / Published: 30 September 2023
(This article belongs to the Special Issue Genetic Resources and Fruit Development Biology of Solanaceae)

Abstract

:
Pepper (Capsicum annuum L.) holds immense global importance, as it is widely cultivated for its economic value in the food industry and its health benefits. Consequently, substantial breeding progress has been made in cultivar development, whole-genome analysis, and transformation techniques aimed at enhancing agricultural traits, including fruit development and capsaicin synthesis. However, research concerning the phylogenetic relationships within C. annuum remains insufficient. In this study, we characterized the plastome sequences of seven C. annuum, including five hot pepper and two bell pepper cultivars, while also elucidating their phylogenetic relationships. Furthermore, we conducted comparative analyses to gain insight into their evolutionary history. The seven plastomes displayed typical quadripartite structures and ranged from 156,821 to 156,922 bp, displaying highly conserved sequences. In contrast to prior studies, our phylogenomic analyses revealed that C. annuum species did not form a monophyletic group. Each subclade was thought to be related to a different evolutionary history, such as hybridization, domestication from wild ancestors, and artificial selection. Therefore, we were able to discern the relationships among cultivars based on their genetic profiles of plastomes. Our findings also revealed that the Korean landraces Younggo 4, 5, 10, and 11 share the most recent common ancestor with Mexican landrace CM334.

1. Introduction

The genus Capsicum L. (Solanaceae) is native to the temperate and tropical regions of Central and South America [1], comprising 42 recognized species [2]. It stands out as one of the most widely cultivated plants globally due to its immense economic value in the food industry and its health benefits. Among these species, five species (C. annuum L., C. frutescens L., C. chinense Jacq., C. baccatum L., and C. pubescens Ruiz. & Pav.) have been extensively cultivated and domesticated [3]. They can be classified into three complexes based on morphological, cytogenetic, and molecular data [4,5,6]: the C. annuum, C. baccatum, and C. pubescent complexes. The C. annuum complex includes C. annuum, C. chinense, C. frutescens, and C. galapagoense, whereas the C. baccatum complex comprises C. baccatum, C. chaocense, C. praetermissum, and C. tovarii. The C. pubescens complex consists of C. cardenasii, C. eximium, and C. pubescens [1,5,6,7]. However, morphological characteristics, such as seed color, corolla color, flower position, and fruit size and shape, have limitations in classifying domesticated species due to overlapping features. In contrast, cytogenetic and molecular studies utilizing partial sequences of chloroplast and nuclear DNA support the existence of these three complexes [1,4,5,8]. Moreover, Madgy et al. [9] employed 321 whole plastome sequences to elucidate the plastomic boundaries among these Capsicum complexes. Although these studies contribute to understanding the taxonomic relationships within Capsicum, they have limitations, including low support values or the exclusion of certain species, as well as biased samplings from specific countries.
Capsicum annuum is classified into two distinct types based on pungency and fruit shape: hot pepper and bell pepper. In addition to their agricultural significance, both types of peppers are vital genetic resources that drive research efforts, including the development of monitoring systems for detecting transformation, gene editing and transformation, and enhancement of agricultural traits, such as fruit development, capsaicin synthesis, and disease resistance [10,11,12,13,14,15]. In recent studies, CRISPR (clustered regularly interspaced short palindromic repeats) tools have been effectively employed for genome editing to improve disease resistance in both hot and bell peppers [11,16]. Interestingly, these biotechnological applications have highlighted contrasting sensitivities among genetic backgrounds, suggesting the existence of molecular disparities [17,18]. Knowing where these differences in molecular responses originate is important in research on improving crop quality.
Research into pepper cultivation in Korea began in the late 1950s. The primary research topics focused on improving the quality of landrace, producing F1 seeds via male sterility and hybridization, and creating disease-resistant cultivars [19]. As an example, researchers identified four landraces (cultivars Younggo 4, Younggo 5, Younggo 10, and Younggo 11, called Subicho, Chilsungcho, Youwolchol, and Tojong, respectively) from different regions in the late 1990s. Each landrace was selected based on specific traits, such as fruit size, spiciness, and flowering time, leading to further refinement of each cultivar. Younggo 4 has the longest fruit, while Younggo 5 is distinguished by its thick flesh compared to Younggo 4. In contrast, Younggo 10 and Younggo 11 exhibit early flowering time, smaller fruit sizes, and a strong spicy flavor relative to the other two landraces [19,20]. The landrace is characterized by a specific adaptation to the environmental conditions of its cultivation areas [21]. Given that landraces offer a distinct source of specialized traits, including disease and pest resistance, nutritional quality, and adaptability to marginal environments [22,23,24], understanding their genetic information plays a crucial role in genetic research and conservation.
In this study, we determined the complete plastomes of three Korean landraces (Younggo 5, Younggo 10, and Younggo 11), one Mexican landrace (CM334), and three developed cultivars (C15, Dempsey, and Ferrari), all of which have been extensively studied as valuable genetic resources. Additionally, we conducted phylogenetic analyses using the plastome sequences, including seven newly sequenced plastomes and those previously reported. Lastly, comparative analyses were performed to gain insights into plastome variation and the evolutionary history of C. annuum cultivars.

2. Materials and Methods

2.1. Sampling and DNA Extraction

Korean landraces (Younggo 5, Younggo 10, and Younggo 11) were provided by Yeongyang Pepper Institute (Yeongyang, Republic of Korea). The commercially available pepper (C15) was obtained from Nongwoo Bio Co. (Suwon, Republic of Korea), and the other peppers, Dempsey and Ferrari, were provided by the Vegetable Breeding Research Center (VBRC, Seoul, Republic of Korea). Seeds of C15 and Younggo 10 were germinated in a growth medium, and fresh leaves were collected from seedlings that reached 68 and 44 days of age, respectively. Following the sample collection, the seedlings were transplanted into 15 cm diameter pots and placed in a growth room. Similarly, fresh leaves from cultivars Younggo 5, Younggo 11, Dempsey, and Ferrari were sampled from seedlings aged 51 days that had been grown under controlled conditions (Figure S1). Genomic DNA was extracted from a 100 mg sample using the Exgene Plant SV mini kit (GeneAll Biotechnology, Seoul, Republic of Korea) according to the manufacturer’s instructions. The DNA quantity and quality were confirmed using a spectrophotometer and 1% agarose gel electrophoresis, respectively.

2.2. DNA Sequencing, Genome Assembly, and Annotation

A paired-end DNA library was prepared using the Illumina TruSeq Nano DNA library preparation kit (Illumina, Inc., San Diego, CA, USA), with an insert size of 350 bp. Subsequently, the library underwent sequencing on the Illumina NovaSeq 6000 (Illumina, Inc.) at the Macrogen Corp. in Seoul, Korea, generating approximately 10 GB of raw data for each cultivar. To assemble the raw reads into a complete plastome, we employed the NOVOplasty ver. 4.3 software [25]. The assembly process employed a 39 k-mer, with a fragment of the psbA gene from C. annuum var. glabriusculum (accession number KJ619462) as the seed sequence. For cultivar CM334, we downloaded contigs from NCBI (AYRZ00000000) and mapped them to the reference genome of C. annuum (MH559327) for assembly. Following this, we employed CPGAVAS2 [26] and tRNAscan-SE 2.0 software [27] with default settings to identify and annotate the plastome genes. The annotation of protein-coding regions was validated through searches for homologous genes using the NCBI Conserved Domain Database (CDD) [28]. The circular map of the plastome was generated using OGDRAW ver. 1.3.1 [29]. The annotated complete chloroplast genome sequences were deposited in GenBank.

2.3. Comparative Plastome Analysis

To compare the plastome sequences of the cultivars, Younggo 4 was also included and analyzed, in addition to the seven cultivars from this study. Genetic distance analyses were conducted using the Kimura 2-parameter model implemented in MEGA X [30]. All ambiguous positions were removed for each sequence pair (pairwise deletion option), leaving a total of 157,212 positions in the final dataset. To explore genetic variability among the newly sequenced cultivars, we utilized the MIcroSAtellite (MISA) identification tool (https://webblast.ipk-gatersleben.de/misa/, accessed on 20 August 2023) and set the motif lengths and minimum numbers of repetitions as follows: 10 repeat units for mononucleotide SSR motifs, six for dinucleotide motifs, and five for trinucleotide to hexanucleotide motifs. For nucleotide diversity (Pi) calculation, sliding window analysis was conducted using DnaSP v. 6 [31]. The step size was set to 300 bp, with a 600 bp window length. A comparison of the complete plastomes among the eight C. annuum cultivars, including the seven cultivars and previously sequenced Younggo 4, was performed using mVISTA [32] with the Shuffle-LAGAN mode option [33]. Relative synonymous codon usage (RSCU) was calculated for all codons using the statistics panel of Geneious v. 10 [34]. The detection of single nucleotide polymorphisms (SNPs) and insertion-deletion (InDel) polymorphisms was carried out using DnaSP v. 6 [31]. To compute the Ka/Ks values (ratios of non-synonymous to synonymous substitution rates), protein-coding sequences without stop codons were extracted from the plastomes of eight C. annuum cultivars, with C. annuum var. glabriusculum as a reference. Ka/Ks values were calculated using the genetic code 11 (bacterial and plant plastid code) and the model selection (MS) mode, employing KaKs_Calculator 3.0 [35].

2.4. Phylogenetic Analysis

We downloaded plastome sequences of 29 Capsicum species, encompassing seven C. annuum, six C. baccatum, two C. chacoense, four C. chinense, one C. eximium, four C. frutescens, two C. galapagoense, one C. lycianthoides, one C. pubescens, and one C. tovarii, and included Nicotiana tabacum as an outgroup. These sequences were aligned with the newly sequenced C. annuum cultivars using MAFFT ver. 7 [36]. Gaps or poorly aligned positions were then removed using Gblocks v. 0.91b [37]. A maximum likelihood (ML) analysis was performed in IQ-TREE v. 1.4.2 [38]. Model selection was conducted using ModelFinder [39] within IQ-TREE, resulting in the choice of the TVM+F+I model based on the Bayesian information criterion. Subsequently, nonparametric bootstrap (BS) analysis was carried out with 1000 replicates. For the Bayesian inference (BI) phylogenetic tree, the analysis was run until the standard deviation of split frequencies dropped below 0.01, using MrBayes v3.1.2 [40]. Sampling in each chain was performed every 100 generations, and the first 25% of the samples were discarded as burn-in. The remaining data were used to generate a consensus tree.

3. Results

3.1. Plastome Organization and Features

The complete plastome sizes of seven cultivars ranged from 156,821 to 156,922 bp, and all plastomes exhibited a circular quadripartite structure characterized by a pair of inverted repeats (IRs) separated by a small single copy (SSC) and a large single copy (LSC) (Figure 1). The LSC, SSC, and IR regions encompassed a range of 87,256 to 87,395, 17,853 to 17,939, and 25,790 to 25,843 bp, respectively. Across all cultivars, the gene contents, gene order, and GC contents were highly conserved, as indicated in Table 1. In particular, the plastome sequences of Korean landraces Younggo 4, Younggo 10, and Younggo 11 are completely identical.

3.2. Plastome Sequence Variability

The heatmap in Figure 2 illustrates pairwise comparisons within the plastome of C. annuum cultivars, highlighting Dempsey as genetically distinct from other cultivars [41]. Although Dempsey and Ferrari share the common “bell pepper” classification, they are genetically distant. Ferrari is closer to C15, whereas the Mexican landrace CM334 is closely related to the Korean landrace Younggo.
In the plastomes of eight C. annuum cultivars, we identified a variable range of 31 to 35 SSRs, including mono-, tri-, and tetranucleotide motifs (Figure 3A). All motifs exclusively consisted of adenine and thymine nucleotides. Mononucleotide SSRs consisted solely of A/T repeat units. The trinucleotide motif AAT/TTA was consistently present in the ycf1 gene, with five repeats across all cultivars except Dempsey, which displayed seven repeats. Furthermore, the ATAA/TATT motif was observed only in the intergenic region of the psaA and ycf3 genes in cultivar C15. Most of the SSRs were located within the LSC region, ranging from 72.7% in Ferrari to 80% in Dempsey (Figure 3B). Additionally, SSRs were predominantly found in intergenic spacers (IGS), constituting over 60%, followed by introns and exons (Figure 3C).
While the sliding window analysis indicates a predominance of conserved sequences, with an average nucleotide diversity value of 0.0003, the psaA-ycf3 IGS stands out with a comparatively high Pi value of 0.007 (Figure 4).
The plastome sequences of eight C. annuum cultivars were plotted using mVISTA, with C. annuum var. glabriusculum hypothesized as the reference (Figure 5). The results indicated that the LSC region was the most divergent, with non-coding regions showing more divergence and variability than coding regions. Among the divergent regions, sequence variations were identified among the eight cultivars, including eight IGS (rps16-trnQ, trnS-trnG, trnE-trnT, trnL-trnF, rbcL-accD, rpl16-rps3, ndhB-rps7, and trnN-ndhF) and two coding genes (accD and ycf1) (Figure 5).
To confirm the sequence variation patterns based on pepper fruit types, specifically hot peppers and bell peppers, we compared plastome sequences accordingly. The majority of variations were found in the LSC and IGS in both types. Furthermore, our results indicated greater sequence divergence within bell peppers, which exhibited 80 SNPs and 41 InDels, compared to hot peppers, which had 41 SNPs and 34 InDels (Figure 6).
Based on the sequences of 79 protein-coding genes, we found consistent patterns in codon usage across cultivars (Figure 7). RSCU analysis revealed an average codon usage ranging from 23,039 (C15) to 23,061 (Younggo 5) (Table S1). Leucine (2453–2459) is the most frequently occurring amino acid, followed by isoleucine (1935–1939) and serine (1729–1734). Conversely, cysteine (255) is the least frequently encountered amino acid. The UUA codon for leucine exhibited the highest RSCU value (1.96–1.97), followed by GCU for alanine (1.79) and UCU for serine (1.74–1.75). The AGC codon for serine displayed the lowest RSCU value (0.35), along with CUG and CUC codons for leucine (0.38–0.39). AUG and UGG codons, encoding methionine and tryptophan, respectively, showed no bias, with an RSCU value of 1.00. In addition, the RSCU analysis showed a high encoding efficacy of the codons that contained A/T at 3′ position with an RSCU ≥ 1.00 compared with codons ending with C/G at 3′ position, which had an RSCU < 1.00.
The nucleotide substitution rate varied across plastome genes, with Ka and Ks values ranging from 0 to 0.015 and 0 to 0.045, respectively. Among the 79 genes, we identified 13 genes with Ka/Ks value > 1, which suggests positive selection (Figure 8). These genes can be categorized into functions related to photosynthesis, transcription, and other functions. Specifically, seven genes are associated with photosynthesis, including subunits of photosystem (psaA and psbL), cytochrome b/f complex (petA), ndh complex (ndhD, ndhH, and ndhI), and Rubisco (rbcL). Additionally, three genes are linked to self-replication, such as a large subunit of the ribosome (rpl20) and the subunits of the RNA polymerase (rpoB and rpoC2). We also detected the envelope membrane protein cemA and protease clpP, which had Ka/Ks values > 1. All cultivars had Ka/Ks values > 1 for ndhD and psbL, while the cemA, clpP, ndhH, rbcL, rpl20, rpoB, and rpoC2 genes were observed in all cultivars other than Dempsey. The ndhI and psaA genes were found only in C15 and Ferrari, and ycf1 and petA were exclusive to Dempsey and Younggo, respectively. The remaining genes had a Ka/Ks ratio < 1.

3.3. Phylogenetic Analysis

The plastid phylogenomic tree, incorporating seven cultivars from this study, supported previously reported species relationships. The genus Capsicum was divided into two major lineages closely aligned with the C. annuum and C. baccatum complexes, each with robust support (100% BS; 1 posterior probability, PP). The C. baccatum complex, consisting of C. chacoense and C. baccatum, shared a common ancestor and formed a monophyletic group. In contrast, the C. annuum complex exhibited a more complex pattern. Species within the C. annuum complex, including C. annuum, C. chinense, C. frutescens, and C. galapagoense, did not form a monophyletic group. Concerning the positioning of C. annuum, this species was grouped into two distinct subclades with strong support (Figure 9). Three of fourteen C. annuum accessions belonged to subclade I, while the rest belonged to subclade II. Notably, landraces CM334 and Younggo were grouped into subclade II-1 and were closely related (BS = 98, PP = 1). It was consistent with the genetic distance result (Figure 2). The bell pepper cultivars Dempsey and Ferrari did not form a monophyletic group; instead, they belonged to subclades I and II, respectively. C15, Ferrari, and most of the previously reported C. annuum accessions were situated in subclade II-2 with the basal lineage of C. galapagoense (MH559322).

4. Discussion

4.1. Plastome Feature

In this study, the plastomes of seven C. annuum cultivars were sequenced, revealing highly conserved genes and structures. This structural consistency corresponded with the enduring characteristics observed in angiosperms, encompassing gene content, gene order, and GC content [42,43]. Interestingly, we found that Younggo 10 and Younggo 11 have completely identical sequences compared to the previously reported Younggo 4 (KR078313). The difference in fruit length between Younggo 5 and the remaining Younggo members was attributed to six InDels within the LSC region. Among these, five InDels occurred in IGS, namely trnS-trnG, trnL-trnF, ndhC-trnV, rbcL-accD, and rpl14-rpl16, ranging from 5 to 21 bp. Furthermore, a 12 bp insertion occurred within the rpl20 gene of Younggo 5 without inducing a frameshift mutation. Short InDels, recognized as major contributors to structural genetic diversity, have been documented to play pivotal roles in influencing flowering time and the variegated colors of flowers [44,45,46]. In addition, an exonic InDel of the rpl20 gene in the plastome has been associated with leaf development in N. tabacum [47]. These studies underscore the prominent influence of InDels in shaping distinct phenotypic traits. Given the variations in morphology within the Younggo cultivars, it would be necessary to delve deeper into the connection between divergences in sequences—particularly within genes like rpl20—and their potential impact on morphological traits.

4.2. Sequence Divergence

The similarity of plastome sequences among C. annuum cultivars was remarkably high, exceeding 99%, despite their various breeding and domestication backgrounds. This finding aligns with the trend toward lower diversity in pepper, tomato, potato, and sweet potato cultivars compared to their wild relatives [48,49,50,51]. Interestingly, our analysis revealed that the cultivar Dempsey stands out in terms of genetic variation. This result may be attributed to Dempsey’s hybrid origin, which can be traced back to a three-way cross involving hot peppers PI264281 and PI163192, as well as the bell pepper Jupiter [41]. The introduction of these two hot peppers as paternal gives resistance to tobacco etch potyvirus and bacterial spot. In contrast, the other bell pepper Ferrari is a transgenic plant regenerated via the inducible activation of the BABY BOOM transcription factor [52]. Although they commonly have bell-shaped fruit, the observation of a high genetic distance between them, their position in different subclades, and the presence of distinct genetic backgrounds collectively indicate that these two bell peppers likely originated from different maternal sources.
The detected SSRs were predominantly located within the LSC region and IGSs, consistent with prevalent characteristics observed in other angiosperms [53,54,55]. As SSRs show high polymorphism between individuals, SSR markers have been widely used in determining genetic diversity and conducting phylogenetic studies [56,57]. However, in the case of newly sequenced cultivars, they exhibited nearly identical repeat numbers and motifs, presenting a challenge for the development of SSR markers on plastomes. We identified the notably variable region psaA-ycf3 among the seven cultivars examined, which corroborates the findings reported by Magdy et al. [9]. Nevertheless, the average nucleotide diversity value, which remained below 0.01, highlights the highly conserved plastome evolution across Capsicum cultivars. These high similarities can be attributed to domestication or artificial selection, as well as the low cross-pollination rates resulting from the tendency toward self-pollination in cultivated Capsicum species [7].

4.3. Plastome Evolution

Codon usage bias can be used to understand the molecular evolution and environmental adaptation of species and the superior agronomic performance of the cultivated species [58]. However, we could not find any significant differences among cultivars. Relative synonymous codon usage and amino acid frequency revealed high similarities among them. The prevalence of leucine as the most encoded amino acid and cysteine as the least was consistent with observations in other Solanaceae species [59,60,61].
While most plastome genes evolve under purifying selection (Ka/Ks < 1) due to their critical roles in photosynthesis and self-replication functions, our analysis revealed that 3 to 11 genes within the cultivars experienced positive selection pressure. In particular, three genes (ndhD, ndhH, and ndhI) of the ndh family, which are associated with photosynthesis, were identified as being under positive selection. Chloroplast ndh monomers are known to be sensitive to high light stress, suggesting that the ndh genes likely play a role in stress acclimation [62]. The phenomenon of positive selection in the rbcL gene of land plants is commonly observed [63]. This widespread adaptive evolution may signify an effort to optimize its performance under changing thermal conditions and in response to coevolution with proteins in the Rubisco complex. Additionally, the positive selection observed in the rpoB and rpoC2 genes, encoding the β subunit of RNA polymerase, could potentially lead to changes in cell wall metabolism, possibly due to alteration in transcription [64]. As evident from the examples above, positive selection is often interpreted as an indication of adaptation to changing environments, ecological niches, or coevolutionary processes [60]. In this context, we postulated that the positive selection observed in the genes of C. annuum cultivars is associated with their adaptation to diverse environments. It may also be attributed to artificial selection during domestication from wild ancestor C. annuum var. glabriusculum [65], as well as during subsequent cultivation and development of new cultivars. A more comprehensive understanding of the relationship between positive selection in genes and the adaptation of C. annuum cultivars requires further investigation.

4.4. Phylogenetic Relationship

Studies aimed at elucidating the relationships among Capsicum species have employed various molecular approaches, including isozyme [66], random amplified polymorphic DNA [67,68], amplified fragment length polymorphism [67,69,70], microsatellite genotyping [71,72], SNP [73], molecular markers [4,6], and complete plastomes [9]. These studies provide robust support for distinguishing the two major complexes within the genus Capsicum, C. annuum and C. baccatum. Our phylogenetic tree also revealed that each complex forms a monophyletic group with high support values (BS = 100%, PP = 1). The C. annuum complex included not only C. annuum but also C. tovarii and C. eximium, which are categorized within the C. baccatum and C. pubescens complexes, respectively. Tong and Bosland [74] suggested that C. tovarii shares a closer genetic relationship with the C. baccatum complex than with other Capsicum complexes. Similarly, Ince et al. [68] also placed C. tovarii within the C. baccatum clade. However, Magdy et al. [9] reported C. tovarii (KX913219) and C. frutescens (KR078312) as variants of C. annuum var. annuum, and Shiragaki et al. [4] suggested that C. eximium should be reclassified as C. frutescens based on morphological and molecular traits. Based on these studies, we concluded that subclade II-2 primarily includes C. annuum species.
Unlike previous studies [4,9] showing the monophyly of C. annuum, the C. annuum species was divided into three subclades in this study: subclade I consists of C. annuum, C. annuum var. glabriusculum, C. frutescens, and C. galapagoense; subclade II-1 includes landrace C. annuum; and subclade II-2 comprises another cluster of C. annuum and C. galapagoense. Although the precise lineage of previously sequenced C. annuum remains elusive, we inferred that these three subclades would correspond to distinct genetic histories: subclade I includes the hybrid cultivar, Dempsey. Subclade II-1 comprises the C. annuum landrace, which has been domesticated and cultivated for a long period, while subclade II-2 encompasses cultivars that were chosen either through specific breeding strategies or genetic modification techniques. For instance, in subclade II-2, Ferrari is a transgenic plant, as described above, and is renowned for its efficiency in transformation and regeneration following genetic engineering. The cultivar C15 has been reported as a transformable inbred line and served as a parental source for developing new cultivars [75,76]. Therefore, we were able to discern the relationships among cultivars based on their plastome genetic profiles. However, further validation involving a broader range of cultivars with diverse genetic backgrounds and the examination of nuclear or mitochondrial genomes is warranted.
Due to the distinct characteristics observed within the C. annuum cv. Younggo, such as variations in flowering time, fruit pungency, and fruit length, they have been treated as separate cultivars [77]. Our findings revealed robust support that the Korean landraces Younggo formed a monophyletic group, indicating a shared maternal lineage. To further investigate these results, phylogenetic analysis using nuclear DNA is warranted.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/horticulturae9101092/s1. Figure S1: Photos of seven Capsicum annuum cultivars sequenced in this study; Table S1: The codon usage frequency and ratio of relative synonymous codon usage in eight Capsicum annuum cultivars; Table S2: The non-synonymous (Ka) and synonymous (Ks) substitution ratio.

Author Contributions

Conceptualization, resources, writing—review and editing, supervision, project administration, and funding acquisition, H.K.; methodology, software, validation, formal analysis, investigation, data curation, writing—original draft preparation, and visualization, S.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by grants from the New Breeding Technologies Development Program [Project No. PJ01654303], Rural Development Administration (RDA), Republic of Korea, and the Basic Science Research Program of the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology, grant number 2022R1A2C1010869, to H.K.

Data Availability Statement

The annotated plastomes of six Capsicum annuum cultivars have been archived on the National Center for Biotechnology Information (NCBI) website, which can be accessed at https://www.ncbi.nlm.nih.gov. These plastome sequences are associated with the following accession numbers: OR538721 (Dempsey), OR538722 (Younggo 11), OR538723 (Younggo 10), OR538724 (Younggo 5), OR538725 (C15), and OR538727 (Ferrari).

Acknowledgments

We are grateful to the Vegetable Breeding Research Center (Republic of Korea), Yeongyang Pepper Institute (Republic of Korea), and Nongwoo Bio Co. (Republic of Korea) for sharing pepper seeds.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Carrizo García, C.; Barfuss, M.H.; Sehr, E.M.; Barboza, G.E.; Samuel, R.; Moscone, E.A.; Ehrendorfer, F. Phylogenetic relationships, diversification and expansion of chili peppers (Capsicum, Solanaceae). Ann. Bot. 2016, 118, 35–51. [Google Scholar] [CrossRef] [PubMed]
  2. Barboza, G.E.; García, C.C.; Scaldaferro, M.; Bohs, L. An amazing new capsicum (Solanaceae) species from the andean-amazonian piedmont. PhytoKeys 2020, 167, 13–29. [Google Scholar] [CrossRef] [PubMed]
  3. Pickersgill, B. Genetic resources and breeding of Capsicum spp. Euphytica 1997, 96, 129–133. [Google Scholar] [CrossRef]
  4. Shiragaki, K.; Yokoi, S.; Tezuka, T. Phylogenetic analysis and molecular diversity of Capsicum based on rDNA-ITS region. Horticulturae 2020, 6, 87. [Google Scholar] [CrossRef]
  5. Moscone, E.A.; Scaldaferro, M.A.; Grabiele, M.; Cecchini, N.M.; Sanchez García, Y.; Jarret, R.; Daviña, J.R.; Ducasse, D.A.; Barboza, G.E.; Ehrendorfer, F. The Evolution of Chili Peppers (Capsicum-Solanaceae): A Cytogenetic Perspective. Act. Hortic. 2007, 745, 137–169. [Google Scholar] [CrossRef]
  6. Walsh, B.M.; Hoot, S.B. Phylogenetic relationships of Capsicum (Solanaceae) using DNA sequences from two noncoding regions: The chloroplast atpB-rbcL spacer region and nuclear waxy introns. Int. J. Plant Sci. 2001, 162, 1409–1418. [Google Scholar] [CrossRef]
  7. Eshbaugh, W.H. Genetic and biochemical systematic studies of chili peppers (Capsicum-Solanaceae). Bull. Torrey Bot. Club 1975, 102, 396–403. [Google Scholar] [CrossRef]
  8. Moscone, E.A.; Baranyi, M.; Ebert, I.; Greilhuber, J.; Ehrendorfer, F.; Hunziker, A.T. Analysis of nuclear DNA content in Capsicum (Solanaceae) by flow cytometry and Feulgen densitometry. Ann. Bot. 2003, 92, 21–29. [Google Scholar] [CrossRef]
  9. Magdy, M.; Ou, L.; Yu, H.; Chen, R.; Zhou, Y.; Hassan, H.; Feng, B.; Taitano, N.; van der Knaap, E.; Zou, X.; et al. Pan-plastome approach empowers the assessment of genetic variation in cultivated Capsicum species. Hortic. Res. 2019, 6, 108. [Google Scholar] [CrossRef]
  10. Jung, M.; Shin, S.H.; Park, J.M.; Lee, S.N.; Lee, M.Y.; Ryu, K.H.; Paek, K.Y.; Harn, C.H. Detection of transgene in early developmental stage by GFP monitoring enhances the efficiency of genetic transformation of pepper. Plant Biotechnol. Rep. 2011, 5, 157–167. [Google Scholar] [CrossRef]
  11. Park, S.I.; Kim, H.B.; Jeon, H.J.; Kim, H. Agrobacterium-mediated Capsicum annuum gene editing in two cultivars, hot pepper CM334 and bell pepper dempsey. Int. J. Mol. Sci. 2021, 22, 3921. [Google Scholar] [CrossRef] [PubMed]
  12. Ravishankar, G.A.; Suresh, B.; Giridhar, P.; Rao, S.R.; Johnson, T.S. Biotechnological studies on Capsicum for metabolite production and plant improvement. In Capsicum: The Genus Capsicum, 1st ed.; De, A.K., Ed.; Taylor & Francis Inc.: New York, NY, USA, 2003; pp. 96–128. [Google Scholar]
  13. Kumar, A.; Kumar, S.; Anju, T.; Ramchiary, N. Genetic, epigenetic, and hormonal regulation of fruit development and ripening in Capsicum L. species. Annu. Plant Rev. 2018, 4, 295–356. [Google Scholar]
  14. Bagga, S.; Lucero, Y.; Apodaca, K.; Rajapakse, W.; Lujan, P.; Ortega, J.L.; Sengupta-Gopalan, C. Chile (Capsicum annuum) plants transformed with the RB gene from Solanum bulbocastanum are resistant to Phytophthora capsici. PLoS ONE 2019, 14, e0223213. [Google Scholar] [CrossRef] [PubMed]
  15. Lee, Y.H.; Jung, M.; Shin, S.H.; Lee, J.H.; Choi, S.H.; Her, N.H.; Lee, J.H.; Ryu, K.H.; Paek, K.Y.; Harn, C.H. Transgenic peppers that are highly tolerant to a new CMV pathotype. Plant Cell Rep. 2009, 28, 223–232. [Google Scholar] [CrossRef]
  16. Kim, H.; Choi, J.; Won, K.H. A stable DNA-free screening system for CRISPR/RNPs-mediated gene editing in hot and sweet cultivars of Capsicum annuum. BMC Plant Biol. 2020, 20, 449. [Google Scholar] [CrossRef]
  17. Christopher, T.; Rajam, M.V. Effect of genotype, explant and medium on in vitro regeneration of red pepper. Plant Cell Tissue Organ Cult. 1996, 46, 245–250. [Google Scholar] [CrossRef]
  18. Kim, J.Y.; Jung, M.; Kim, H.S.; Lee, Y.H.; Choi, S.H.; Lim, Y.P.; Min, B.W.; Yang, S.G.; Harn, C.H. A new selection system for pepper regeneration by mannose. J. Plant Biotechnol. 2002, 4, 129–134. [Google Scholar]
  19. Gyeongsangbuk-do Agricultural Research & Extension Services. Available online: https://www.gba.go.kr/index.do?menu_id=00000146 (accessed on 30 August 2023).
  20. Lee, M.J.; Kwon, T.R.; Pae, D.H.; Kim, D.U.; Choi, B.S. Characteristics of major local cultivars of red pepper (Capsicum annuum) grown in Youngyang region. J. Korean Soc. Hortic. Sci. 1999, 40, 158–162. [Google Scholar]
  21. Villa, T.C.C.; Maxted, N.; Scholten, M.; Ford-Lloyd, B. Defining and identifying crop landraces. Plant Genet. Resour. 2005, 3, 373–384. [Google Scholar] [CrossRef]
  22. Van Leur, J.A.G.; Ceccarelli, S.; Grando, S. Diversity for disease resistance in barley landraces from Syria and Jordan. Plant Breed. 1989, 103, 324–335. [Google Scholar] [CrossRef]
  23. Negri, V.; Maxted, N.; Veteläinen, M. European landrace conservation: An introduction. In European Landraces: On-Farm Conservation, Management and Use; Veteläinen, M., Negri, V., Maxted, N., Eds.; Bioversity International: Italy, Rome, 2009; pp. 1–22. [Google Scholar]
  24. Scarano, A.; Olivieri, F.; Gerardi, C.; Liso, M.; Chiesa, M.; Chieppa, M.; Frusciante, L.; Barone, A.; Santino, A.; Rigano, M.M. Selection of tomato landraces with high fruit yield and nutritional quality under elevated temperatures. J. Sci. Food Agric. 2020, 100, 2791–2799. [Google Scholar] [CrossRef] [PubMed]
  25. Dierckxsens, N.; Mardulyn, P.; Smits, G. NOVOPlasty: De novo assembly of organelle genomes from whole genome data. Nucleic Acids Res. 2017, 45, e18. [Google Scholar] [PubMed]
  26. Shi, L.; Chen, H.; Jiang, M.; Wang, L.; Wu, X.; Huang, L.; Liu, C. CPGAVAS2, an integrated plastome sequence annotator and analyzer. Nucleic Acids Res. 2019, 47, W65–W73. [Google Scholar] [CrossRef] [PubMed]
  27. Lowe, T.M.; Chan, P.P. tRNAscan-SE On-line: Integrating search and context for analysis of transfer RNA genes. Nucleic Acids Res. 2016, 44, W54–W57. [Google Scholar] [CrossRef]
  28. Marchler-Bauer, A.; Derbyshire, M.K.; Gonzales, N.R.; Lu, S.; Chitsaz, F.; Geer, L.Y.; Geer, R.C.; He, J.; Gwadz, M.; Hurwitz, D.I.; et al. CDD: NCBI’s conserved domain database. Nucleic Acids Res. 2015, 43, D222–D226. [Google Scholar] [CrossRef]
  29. Greiner, S.; Lehwark, P.; Bock, R. OrganellarGenomeDRAW (OGDRAW) version 1.3. 1: Expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Res. 2019, 47, W59–W64. [Google Scholar] [CrossRef]
  30. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  31. Rozas, J.; Ferrer-Mata, A.; Sánchez-DelBarrio, J.; Guirao-Rico, S.; Librado, P.; Ramos-Onsins, S.E. DnaSP v6: DNA sequence polymorphism analysis of large datasets. Mol. Biol. Evol. 2017, 34, 3299–3302. [Google Scholar] [CrossRef]
  32. Frazer, K.A.; Pachter, L.; Poliakov, A.; Rubin, E.M.; Dubchak, I. VISTA: Computational tools for comparative genomics. Nucleic Acids Res. 2004, 32, W273–W279. [Google Scholar] [CrossRef]
  33. Brundo, M.; Malde, S.; Poliakov, A.; Do, C.B.; Couronne, O.; Dubchak, I.; Batzoglou, S. Global Alignment: Finding rearrangements during alignment. Bioinformatics 2003, 19, i54–i62. [Google Scholar]
  34. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef] [PubMed]
  35. Zhang, Z. KaKs_calculator 3.0: Calculating selective pressure on coding and non-coding sequences. Genom. Proteom. Bioinform. 2022, 20, 536–540. [Google Scholar] [CrossRef] [PubMed]
  36. Katoh, K.; Standley, D.M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [PubMed]
  37. Castresana, J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol. Biol. Evol. 2000, 17, 540–552. [Google Scholar] [CrossRef] [PubMed]
  38. Nguyen, L.T.; Schmidt, H.A.; Von Haeseler, A.; Minh, B.Q. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef]
  39. Kalyaanamoorthy, S.; Minh, B.Q.; Wong, T.K.; Von Haeseler, A.; Jermiin, L.S. ModelFinder: Fast model selection for accurate phylogenetic estimates. Nat. Methods 2017, 14, 587–589. [Google Scholar] [CrossRef]
  40. Ronquist, F.; Huelsenbeck, J.P. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 2003, 19, 1572–1574. [Google Scholar] [CrossRef]
  41. Lane, R.P.; McCarter, S.M.; Kuhn, C.W.; Deom, C.M. ‘Dempsey’, a virus-and bacterial spot-resistant bell pepper. Hortscience 1997, 32, 333–334. [Google Scholar] [CrossRef]
  42. Palmer, J.D. Comparative organization of chloroplast genomes. Annu. Rev. Genet. 1985, 19, 325–354. [Google Scholar] [CrossRef]
  43. Ravi, V.; Khurana, J.P.; Tyagi, A.K.; Khurana, P. An update on chloroplast genomes. Plant Syst. Evol. 2008, 271, 101–122. [Google Scholar] [CrossRef]
  44. Kuittinen, H.; Niittyvuopio, A.; Rinne, P.; Savolainen, O. Natural variation in Arabidopsis lyrata vernalization requirement conferred by a FRIGIDA indel polymorphism. Mol. Biol. Evol. 2008, 25, 319–329. [Google Scholar] [CrossRef] [PubMed]
  45. Cheng, J.; Liao, L.; Zhou, H.; Gu, C.; Wang, L.; Han, Y. A small indel mutation in an anthocyanin transporter causes variegated colouration of peach flowers. J. Exp. Bot. 2015, 66, 7227–7239. [Google Scholar] [CrossRef] [PubMed]
  46. Zhang, Y.; Cheng, Y.; Xu, S.; Ma, H.; Han, J.; Zhang, Y. Tree peony variegated flowers show a small insertion in the F3′H gene of the acyanic flower parts. BMC Plant Biol. 2020, 20, 211. [Google Scholar] [CrossRef] [PubMed]
  47. Robles, P.; Quesada, V. Unveiling the functions of plastid ribosomal proteins in plant development and abiotic stress tolerance. Plant Physiol. Biochem. 2022, 189, 35–45. [Google Scholar] [CrossRef] [PubMed]
  48. Pacheco-Olvera, A.; Hernández-Verdugo, S.; Rocha-Ramírez, V.; González-Rodríguez, A.; Oyama, K. Genetic diversity and structure of pepper (Capsicum annuum L.) from Northwestern Mexico analyzed by microsatellite markers. Crop Sci. 2012, 52, 231–241. [Google Scholar] [CrossRef]
  49. Williams, C.E.; Clair, D.A.S. Phenetic relationships and levels of variability detected by restriction fragment length polymorphism and random amplified polymorphic DNA analysis of cultivated and wild accessions of Lycopersicon esculentum. Genome 1993, 36, 619–630. [Google Scholar] [CrossRef]
  50. Wang, Y.; Rashid, M.A.R.; Li, X.; Yao, C.; Lu, L.; Bai, J.; Li, Y.; Xu, N.; Yao, Q.; Zhang, L.; et al. Collection and evaluation of genetic diversity and population structure of potato landraces and varieties in China. Front. Plant Sci. 2019, 10, 139. [Google Scholar] [CrossRef]
  51. Xiao, S.; Xu, P.; Deng, Y.; Dai, X.; Zhao, L.; Heider, B.; Zhang, A.; Zhou, Z.; Cao, Q. Comparative analysis of chloroplast genomes of cultivars and wild species of sweetpotato (Ipomoea batatas [L.] Lam). BMC Genom. 2021, 22, 262. [Google Scholar]
  52. Heidmann, I.; De Lange, B.; Lambalk, J.; Angenent, G.C.; Boutilier, K. Efficient sweet pepper transformation mediated by the BABY BOOM transcription factor. Plant Cell Rep. 2011, 30, 1107–1115. [Google Scholar] [CrossRef]
  53. Xu, C.; Dong, W.; Li, W.; Lu, Y.; Xie, X.; Jin, X.; Shi, J.; He, K.; Suo, Z. Comparative analysis of six Lagerstroemia complete chloroplast genomes. Front. Plant Sci. 2017, 8, 15. [Google Scholar] [CrossRef]
  54. Yun, S.; Kim, S.C. Comparative plastomes and phylogenetic analysis of seven Korean endemic Saussurea (Asteraceae). BMC Plant Biol. 2022, 22, 550. [Google Scholar] [CrossRef] [PubMed]
  55. Mehmood, F.; Shahzadi, I.; Ahmed, I.; Waheed, M.T.; Mirza, B. Characterization of Withania somnifera chloroplast genome and its comparison with other selected species of Solanaceae. Genomics 2020, 112, 1522–1530. [Google Scholar] [CrossRef] [PubMed]
  56. Kalia, R.K.; Rai, M.K.; Kalia, S.; Singh, R.; Dhawan, A.K. Microsatellite markers: An overview of the recent progress in plants. Euphytica 2011, 177, 309–334. [Google Scholar] [CrossRef]
  57. Provan, J.; Powell, W.; Hollingsworth, P.M. Chloroplast microsatellites: New tools for studies in plant ecology and evolution. Trends Ecol. Evol. 2001, 16, 142–147. [Google Scholar] [CrossRef]
  58. Zhang, R.; Zhang, L.; Wang, W.; Zhang, Z.; Du, H.; Qu, Z.; Li, X.Q.; Xiang, H. Differences in codon usage bias between photosynthesis-related genes and genetic system-related genes of chloroplast genomes in cultivated and wild solanum species. Int. J. Mol. Sci. 2018, 19, 3142. [Google Scholar] [CrossRef]
  59. Cho, K.S.; Cheon, K.S.; Hong, S.Y.; Cho, J.H.; Im, J.S.; Mekapogu, M.; Yu, Y.S.; Park, T.H. Complete chloroplast genome sequences of Solanum commersonii and its application to chloroplast genotype in somatic hybrids with Solanum tuberosum. Plant Cell Rep. 2016, 35, 2113–2123. [Google Scholar] [CrossRef]
  60. Mehmood, F.; Ubaid, Z.; Shahzadi, I.; Ahmed, I.; Waheed, M.T.; Poczai, P.; Mirza, B. Plastid genomics of Nicotiana (Solanaceae): Insights into molecular evolution, positive selection and the origin of the maternal genome of Aztec tobacco (Nicotiana rustica). PeerJ 2020, 8, e9552. [Google Scholar] [CrossRef]
  61. Saldaña, C.L.; Chávez-Galarza, J.C.; De la Cruz, G.; Jhoncon, J.H.; Guerrero-Abad, J.C.; Vásquez, H.V.; Maicelo, J.L.; Arbizu, C.I. Revealing the complete chloroplast genome of an Andean horticultural crop, sweet cucumber (Solanum muricatum), and its comparison with other Solanaceae species. Data 2022, 7, 123. [Google Scholar] [CrossRef]
  62. Peng, L.; Yamamoto, H.; Shikanai, T. Structure and biogenesis of the chloroplast NAD (P) H dehydrogenase complex. Biochim. Biophys. Acta (BBA)-Bioenerg. 2011, 1807, 945–953. [Google Scholar] [CrossRef]
  63. Kapralov, M.V.; Filatov, D.A. Widespread positive selection in the photosynthetic Rubisco enzyme. BMC Evol. Biol. 2007, 7, 73. [Google Scholar] [CrossRef]
  64. Bisson, G.P.; Mehaffy, C.; Broeckling, C.; Prenni, J.; Rifat, D.; Lun, D.S.; Burgos, M.; Weissman, D.; Karakousis, P.C.; Dobos, K. Upregulation of the phthiocerol dimycocerosate biosynthetic pathway by rifampin-resistant, rpoB mutant Mycobacterium tuberculosis. J. Bacteriol. 2012, 194, 6441–6452. [Google Scholar] [CrossRef] [PubMed]
  65. Pickersgill, B. Relationships between weedy and cultivated forms in some species of chili peppers (genus Capsicum). Evolution 1971, 25, 683–691. [Google Scholar] [PubMed]
  66. McLeod, M.J.; Guttman, S.I.; Eshbaugh, W.H.; Rayle, R.E. An electrophoretic study of evolution in Capsicum (Solanaceae). Evolution 1983, 37, 562–574. [Google Scholar] [CrossRef] [PubMed]
  67. Paran, I.; Aftergoot, E.; Shifriss, C. Variation in Capsicum annuum revealed by RAPD and AFLP markers. Euphytica 1998, 99, 167–173. [Google Scholar] [CrossRef]
  68. Ince, A.G.; Karaca, M.; Onus, A.N. Genetic relationships within and between Capsicum species. Biochem. Genet. 2010, 48, 83–95. [Google Scholar] [CrossRef]
  69. Geleta, L.F.; Labuschagne, M.T.; Viljoen, C.D. Genetic variability in pepper (Capsicum annuum L.) estimated by morphological data and amplified fragment length polymorphism markers. Biodivers. Conserv. 2005, 14, 2361–2375. [Google Scholar] [CrossRef]
  70. Baral, J.; Bosland, P.W. Genetic diversity of a Capsicum germplasm collection from Nepal as determined by randomly amplified polymorphic DNA markers. J. Am. Soc. Hortic. Sci. 2002, 127, 318–324. [Google Scholar] [CrossRef]
  71. Nicolaï, M.; Cantet, M.; Lefebvre, V.; Sage-Palloix, A.M.; Palloix, A. Genotyping a large collection of pepper (Capsicum spp.) with SSR loci brings new evidence for the wild origin of cultivated C. annuum and the structuring of genetic diversity by human selection of cultivar types. Genet. Resour. Crop Evol. 2013, 60, 2375–2390. [Google Scholar] [CrossRef]
  72. Rai, V.P.; Kumar, R.; Kumar, S.; Rai, A.; Kumar, S.; Singh, M.; Singh, S.P.; Rai, A.B.; Paliwal, R. Genetic diversity in Capsicum germplasm based on microsatellite and random amplified microsatellite polymorphism markers. Physiol. Mol. Biol. Plants 2013, 19, 575–586. [Google Scholar] [CrossRef]
  73. Jeong, H.J.; Jo, Y.D.; Park, S.W.; Kang, B.C. Identification of Capsicum species using SNP markers based on high resolution melting analysis. Genome 2010, 53, 1029–1040. [Google Scholar] [CrossRef]
  74. Tong, N.; Bosland, P.W. Capsicum tovarii, a new member of the Capsicum baccatum complex. Euphytica 1999, 109, 71–77. [Google Scholar] [CrossRef]
  75. KIPRIS. Transgenic Pepper with Enhanced Tolerance to PepMoV and Production Method Thereof. Available online: http://www.kipris.or.kr/khome/main.jsp (accessed on 11 September 2023).
  76. Jung, M. Development of Genetically Modified Peppers Tolerant to Pepper Mottle Virus through the Establishment of Highly Efficient Transformation System. Ph.D. Thesis, Chungbuk National University, Cheongju, Republic of Korea, 2011. [Google Scholar]
  77. Brickell, C.D.; Alexander, C.; Cubey, J.J.; David, J.C.; Hoffman, M.H.A.; Lslie, A.C.; Malécot, V.; Jin, X. International Code of Nomenclature for Cultivated Plants, 9th ed.; ISHS: Leuven, Belgium, 2016; pp. 6–10. [Google Scholar]
Figure 1. The plastome map of the seven Capsicum annuum cultivars. Genes positioned outside the circle are transcribed in a counterclockwise direction, whereas genes within the inner circle are transcribed clockwise. The GC content is depicted by the dark grey inner circle.
Figure 1. The plastome map of the seven Capsicum annuum cultivars. Genes positioned outside the circle are transcribed in a counterclockwise direction, whereas genes within the inner circle are transcribed clockwise. The GC content is depicted by the dark grey inner circle.
Horticulturae 09 01092 g001
Figure 2. Pairwise genetic distance between eight Capsicum annuum cultivars. Red and green indicate low and high distances, respectively.
Figure 2. Pairwise genetic distance between eight Capsicum annuum cultivars. Red and green indicate low and high distances, respectively.
Horticulturae 09 01092 g002
Figure 3. The type and distribution of simple sequence repeats (SSRs) in plastomes of eight Capsicum annuum cultivars. (A) Numbers of different SSR types; (B) location of SSRs in large single copy (LSC), inverted repeat (IR), and small single copy (SSC) regions; (C) location of SSRs in exon, intron, and intergenic spaces.
Figure 3. The type and distribution of simple sequence repeats (SSRs) in plastomes of eight Capsicum annuum cultivars. (A) Numbers of different SSR types; (B) location of SSRs in large single copy (LSC), inverted repeat (IR), and small single copy (SSC) regions; (C) location of SSRs in exon, intron, and intergenic spaces.
Horticulturae 09 01092 g003
Figure 4. Plastome sliding window analysis for the eight Capsicum annuum cultivars. Nucleotide diversity is shown on the y-axis, and the position of the plastome is represented on the x-axis.
Figure 4. Plastome sliding window analysis for the eight Capsicum annuum cultivars. Nucleotide diversity is shown on the y-axis, and the position of the plastome is represented on the x-axis.
Horticulturae 09 01092 g004
Figure 5. Visualization of alignment of eight Capsicum annuum plastomes. The x-axis and y-axis, respectively, indicate the coordinates in the plastome and the percentage of sequence identity within aligned regions, ranging from 50 to 100 %. Capsicum annuum var. glabriusculum (KJ619462) was used as the reference.
Figure 5. Visualization of alignment of eight Capsicum annuum plastomes. The x-axis and y-axis, respectively, indicate the coordinates in the plastome and the percentage of sequence identity within aligned regions, ranging from 50 to 100 %. Capsicum annuum var. glabriusculum (KJ619462) was used as the reference.
Horticulturae 09 01092 g005
Figure 6. Number and distribution of single nucleotide polymorphisms (SNPs) (A) and insertion-deletions (InDels) (B) categorized by pepper types: hot and bell peppers. Hot peppers include cultivars CM334, C15, Younggo 4, Younggo 5, Younggo 10, and Younggo 11, whereas bell peppers encompass cultivars Dempsey and Ferrari.
Figure 6. Number and distribution of single nucleotide polymorphisms (SNPs) (A) and insertion-deletions (InDels) (B) categorized by pepper types: hot and bell peppers. Hot peppers include cultivars CM334, C15, Younggo 4, Younggo 5, Younggo 10, and Younggo 11, whereas bell peppers encompass cultivars Dempsey and Ferrari.
Horticulturae 09 01092 g006
Figure 7. Relative synonymous codon usage (RSCU) in the plastomes of eight Capsicum annuum cultivars. Each codon is marked with a different color.
Figure 7. Relative synonymous codon usage (RSCU) in the plastomes of eight Capsicum annuum cultivars. Each codon is marked with a different color.
Horticulturae 09 01092 g007
Figure 8. The Ka/Ks values of 13 protein-coding genes from eight Capsicum annuum cultivars.
Figure 8. The Ka/Ks values of 13 protein-coding genes from eight Capsicum annuum cultivars.
Horticulturae 09 01092 g008
Figure 9. Maximum likelihood tree was inferred from a dataset comprising 36 species within the genus Capsicum and an outgroup, Nicotiana tabacum. Based on 1000 replicates, Bootstrap values are presented at each node, and Bayesian inference posterior probability (PP) is indicated below the corresponding node. The absence of values or a dash at the node indicates an insufficient support value for that particular node. Capsicum annuum species are marked in red, and accession with a star symbol indicates the cultivars sequenced in this study.
Figure 9. Maximum likelihood tree was inferred from a dataset comprising 36 species within the genus Capsicum and an outgroup, Nicotiana tabacum. Based on 1000 replicates, Bootstrap values are presented at each node, and Bayesian inference posterior probability (PP) is indicated below the corresponding node. The absence of values or a dash at the node indicates an insufficient support value for that particular node. Capsicum annuum species are marked in red, and accession with a star symbol indicates the cultivars sequenced in this study.
Horticulturae 09 01092 g009
Table 1. Summary of the plastome characteristics of the eight Capsicum annuum cultivars.
Table 1. Summary of the plastome characteristics of the eight Capsicum annuum cultivars.
CharacteristicsC15CM334Younggo 5Younggo 4/10/11DempseyFerrari
Total size (bp)156,821156,881156,922156,878156,895156,826
LSC (bp)87,38487,25687,39187,34787,39587,380
SSC (bp)17,85317,93917,92917,92917,92017,862
IR (bp)25,79225,84325,80125,80125,79025,792
Total GC content (%)37.737.737.737.737.737.7
LSC (%)35.735.835.735.735.735.7
SSC (%)32.032.032.032.032.032.0
IR (%)43.143.043.143.143.143.1
Number of total genes113113113113113113
Number of protein-coding genes797979797979
Number of tRNA genes303030303030
Number of rRNA genes444444
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yun, S.; Kim, H. Insight into the Phylogenetic Relationships and Evolutionary History of Pepper Cultivars (Capsicum annuum L.) through Comparative Analyses of Plastomes. Horticulturae 2023, 9, 1092. https://doi.org/10.3390/horticulturae9101092

AMA Style

Yun S, Kim H. Insight into the Phylogenetic Relationships and Evolutionary History of Pepper Cultivars (Capsicum annuum L.) through Comparative Analyses of Plastomes. Horticulturae. 2023; 9(10):1092. https://doi.org/10.3390/horticulturae9101092

Chicago/Turabian Style

Yun, Seona, and Hyeran Kim. 2023. "Insight into the Phylogenetic Relationships and Evolutionary History of Pepper Cultivars (Capsicum annuum L.) through Comparative Analyses of Plastomes" Horticulturae 9, no. 10: 1092. https://doi.org/10.3390/horticulturae9101092

APA Style

Yun, S., & Kim, H. (2023). Insight into the Phylogenetic Relationships and Evolutionary History of Pepper Cultivars (Capsicum annuum L.) through Comparative Analyses of Plastomes. Horticulturae, 9(10), 1092. https://doi.org/10.3390/horticulturae9101092

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop