Next Article in Journal
Correction: Wen-I Liao, et al. Ac2-26, an Annexin A1 Peptide, Attenuates Ischemia-Reperfusion-Induced Acute Lung Injury. Int. J. Mol. Sci. 2017, 18, 1771
Next Article in Special Issue
Bacterial Heterologous Expression System for Reconstitution of Chloroplast Inner Division Ring and Evaluation of Its Contributors
Previous Article in Journal
Evaluation of an Internally Controlled Multiplex Tth Endonuclease Cleavage Loop-Mediated Isothermal Amplification (TEC-LAMP) Assay for the Detection of Bacterial Meningitis Pathogens
Previous Article in Special Issue
Comparative Genomics of the Balsaminaceae Sister Genera Hydrocera triflora and Impatiens pinfanensis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Complete Chloroplast Genome of Catha edulis: A Comparative Analysis of Genome Features with Related Species

1
School of Landscape and Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
2
Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
3
Department of Ecology, Evolution, and Organismal Biology, Ames, IA 50011, USA
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2018, 19(2), 525; https://doi.org/10.3390/ijms19020525
Submission received: 18 December 2017 / Revised: 3 February 2018 / Accepted: 6 February 2018 / Published: 9 February 2018
(This article belongs to the Special Issue Chloroplast)

Abstract

:
Qat (Catha edulis, Celastraceae) is a woody evergreen species with great economic and cultural importance. It is cultivated for its stimulant alkaloids cathine and cathinone in East Africa and southwest Arabia. However, genome information, especially DNA sequence resources, for C. edulis are limited, hindering studies regarding interspecific and intraspecific relationships. Herein, the complete chloroplast (cp) genome of Catha edulis is reported. This genome is 157,960 bp in length with 37% GC content and is structurally arranged into two 26,577 bp inverted repeats and two single-copy areas. The size of the small single-copy and the large single-copy regions were 18,491 bp and 86,315 bp, respectively. The C. edulis cp genome consists of 129 coding genes including 37 transfer RNA (tRNA) genes, 8 ribosomal RNA (rRNA) genes, and 84 protein coding genes. For those genes, 112 are single copy genes and 17 genes are duplicated in two inverted regions with seven tRNAs, four rRNAs, and six protein coding genes. The phylogenetic relationships resolved from the cp genome of qat and 32 other species confirms the monophyly of Celastraceae. The cp genomes of C. edulis, Euonymus japonicus and seven Celastraceae species lack the rps16 intron, which indicates an intron loss took place among an ancestor of this family. The cp genome of C. edulis provides a highly valuable genetic resource for further phylogenomic research, barcoding and cp transformation in Celastraceae.

1. Introduction

Qat (Celastraceae: Catha edulis (Vahl) Forssk. ex Endl.) is a woody evergreen species of major cultural and economic importance in southwest Arabia and East Africa, which is cultivated for its stimulant alkaloids cathine and cathinone. An estimated 20 million people consume qat on a daily basis in eastern Africa [1], and its use and cultivation has been expanding in recent years [2]. Qat is the only species in Celastraceae that is cultivated on a large scale. The cultivation and/or collection (in some instances illegally from wild sources in protected areas) of qat takes place primarily in Israel, Ethiopia, Kenya, Madagascar, Rwanda, Tanzania, Somalia, Uganda, and Yemen [2,3,4].
The cultivation and sale of qat has become an important driver in the local and regional economies of East Africa and Yemen. In Yemen, 6% of the gross domestic product is generated from qat cultivation and sales [5]. Ethiopia has become the number one producer of qat in the world with exports in 1946 equaling only 26 tons valued at $5645, while 15,684 tons were exported in 2000 valued at $72 million [6]. A similar expansion in qat cultivation and sales has occurred in Kenya with the current trade from Kenya to Somalia estimated at $100 million per year. Trade of qat has become international in scale with, for example, 2.26 million kilograms of qat imported into England from Ethiopian and Kenya in 2013 [7]. The biosynthesis of cathinone and similar stimulant alkaloids is rare among green plants, known only in Catha edulis and several Asian species of Ephedra [8]. In addition, Celastraceae species produce numerous unique phytochemicals of potential pharmaceutical value [9]. Chloroplast transformations of qat and related species may prove useful for the production of cathinone related alkaloids and/or novel drugs.
The phylogenetic placement of qat within the Celastraceae has been inferred from 18S, 26S, atpB, ITS (as Nuclear ribosomal internal transcribed spacer), matK, phyB, and rbcL [10]. Phylogeographic work using SSR (as simple sequence repeats) loci has been done for wild and cultivated qat in the historic areas of production—Ethiopia, Kenya, and Yemen [7,11]. Beyond these studies, no genetic resources of which we are aware have been developed for qat. In addition, no chloroplast (cp) genome has been fully sequenced and published in the genus Catha. Therefore, our completed cp genome will be an important genetic resource for further evolutionary studies both within the Celastrales generally and economically important qat specifically.
The cp genome in plants is noted as being highly conserved in gene content [12]. Despite the consistency between cp genomes in plants, the differences in the size of cp genomes appear to be driven by intron and gene loss, and structural changes such as loss or gain of repeat units in different types of repetitive DNA [13]. In particular, genes that straddle inversion junctions such as ycf1 appear to be undergoing rapid evolution [14].
Contrary to the structure of most nuclear plant genomes, the cp genome is typically comprised of a highly conserved quadripartite structure which is 115 to 165 kb in length, uniparentally inherited [12,15], and with similar gene content and order shared among most land plants [16]. From the advancements made by next-generation sequencing (NGS), complete, high quality cp genomes are becoming increasingly common [17]. At present, more than 2000 completed cp genomes of angiosperm species can be downloaded in the public database of the National Center for Biotechnology Information (NCBI; [18], Available online: https://www.ncbi.nlm.nih.gov/genomes/GenomesGroup.cgi?taxid=2759&opt=plastid). Large databases of complete cp genomes provide an indispensable resource for researchers identifying species [19], designing molecular markers for plant population studies, and for research concerning cp genome transformation [20,21,22]. The essentially non-recombinant structures of cp genomes make them particularly useful for the above applications. For example, cp genomes maintain a positive homologous recombination system [23,24,25,26]. Thus, in the transformation process, genes can be precisely transferred to specific genomic regions. A variety of homologous cp sites have proven useful at multiple levels of classification, including inter-specific and intra-specific [27]. In more recent years, systematic studies have employed entire cp genomes to attain high resolution phylogenies [28].
In this paper, we report the completely sequenced cp genome in the Celastrales and discuss the technical aspects of sequencing and assembly. In addition, we conduct phylogenetic analysis using other fully sequenced cp genomes from species in the closely related orders Malpighiales and Rosales. These analyses were conducted to find the top twenty loci for phylogenetic analysis and find which structural changes have taken place across cp genomes between the orders Rosales, Malpighiales, and Celastrales. The completed cp genome is a valuable resource for studying evolution and population genetics of both wild and cultivated populations of qat as well as genetic transformations related to the production of pharmaceuticals in qat or related Celastraceae species.

2. Results and Discussion

2.1. Chloroplast Assembly and Genome Features

The C. edulis cp genome was completely assembled into a single molecule of 157,960 bp, by combining Illumina and Sanger sequencing results. By mapping the completed genome using the paired reads, we confirm the size of our assembly for the completed cp genome with 497,848 (representing 5% of all reads) mapped pair-end reads evenly spanning the entire genome with mean read depth of 785× coverage (Figure S1). Given these quality controls and processing steps, the cp genome for qat is high quality.
Although the genome structure is highly conserved in the cp genome, several features such as the presence or lack of introns, the size of the intergenic region, gene duplication, and the length, type and number of repeat regions can vary [29]. The complete C. edulis cp genome has the conserved quadripartite structure and size that resembles most land plant cp genomes which are normally 115–165 kb in size including two inverted repeats (IRs) and two single-copy regions as large single copy and small single copy (LSC and SSC).
The cp genome of C. edulis consists of two single-copy regions isolated by two identical IRs of 26,577 bp each, one SSC region of 18,491 bp and one LSC region of 86,315 bp. The proportion of LSC, SSC, and IRs size in the entire cp genome is 54.6%, 11.7% and 33.6%, respectively (Figure 1 and Table 1). The GC contents of the LSC, IR, SSC, and the whole cp genome are 35.1%, 42.7%, 31.8%, and 37.3%, respectively, which are consistent with the published Rosid cp genomes [30].
The C. edulis cp genome is composed of tRNAs, protein coding genes and rRNAs, intergenic and intronic regions (Table 2). Non-coding DNA accounts for 67,633 bp (42.8%) of the whole C. edulis cp genome, protein-coding genes account for 78,471 bp (49.7%), tRNA accounts for 2806 bp (1.8%), and rRNA accounts for 9050 bp (5.7%). By comparison with seven other species, gene order, gene content, the coding genes, and non-coding region proportions are similar among these cp genomes (Table 2).

2.2. Gene Content and Structure

The cp genome of C. edulis consisted of 129 coding regions made up of 37 tRNAs, 84 protein-coding genes, and eight rRNAs, of which 112 genes are unique and 17 genes were repeated in two inverted regions consisting of seven tRNAs, six protein coding genes, and four rRNAs (Figure 1 and Table 3). Among these 112 unique genes, three genes crossed different cp boundaries: trnHGUG crossed the IRB and LSC regions, ycf1 crossed the IRB and SSC regions, rps12 crossed two IR regions and the LSC region (two 3′ end exons repeated in IRs and 5′ end exon situated in LSC) (Figure 1). Of the remaining 109 genes, 80 are situated in LSC including 59 protein coding genes and 21 tRNAs, 17 in two inverted repeats (six coding genes, seven tRNAs, and four rRNAs), and 12 in the SSC including 11 coding genes and one tRNA.
Most of the protein-coding genes contain only one exon, while 17 genes contain one intron, of which four occur in both IRs, 12 genes are distributed in LSC, and one in the SSC (Table 4), among them three genes (rps12, clpP and ycf3) contain two introns, while 14 genes (trnAGUC, trnIGAU, trnGUCC, trnLUAA, trnKUUU, and trnVUAC, rpoC1, atpF, rpl16, rpl2, petB, petD, ndhA, and ndhB) contain one intron. The longest intron of trnKUUU is 2495 bp including the 1533 bp encoding the matK gene [13]. The rps12 gene was predicted to be trans-spliced with a repeated 3′ end duplicated in two IRs and a single 5′ end exon in LSC [31].

2.3. Comparison of the cp Genomes

The cp genome of C. edulis (Celastraceae) was compared to species from 14 genera, including Populus, Salix, Viola, Hevea, Manihot, Ricinus, Euonymus and seven out-group species using dot-plot analysis. Besides a unique rearrangement of one 30-kb inversion in the H. brasiliensis cp genome [32], no other large structural differences (inversions) were detected among all compared species in the dot-plot analysis. This is consistent with the extremely conserved cp genomes in land plants [16]. The limited structural differences across the 14 species cp genomes demonstrate that gene order, gene content, and entire genome structure are conserved (Figure S3).
Based on the limited structural variation of cp genomes, we focused on seven closely related species of C. edulis to examine finer scale structural differences in genome length. Among these seven cp genomes, the length of genomes ranged from 155,590 bp (S. purpurea) to 163,161 bp (R. communis). The length of the LSC region varied from 84,452 bp (S. purpurea) to 89,651 bp (R. communis), and from 16,220 bp (S. purpurea) to 18,816 bp (R. communis) in SSC, and from 26,404 bp (V. seoulensis) to 27,646 bp (P. euphratica) in the IR regions (Table 2).
The entire GC content of the complete C. edulis cp genome is 37.3%, with 33.6% GC content in IRs, 35.1% in LSC, and 31.8% in SSC. These GC contents are consistent with other published cp genomes [33]. The whole GC content in the two Celastrales and six cp genomes of Malpighiales species ranged from 35.7% to 37.3% of the total genome, with R. communis having the lowest and C. edulis and E. japonicus having the highest GC content (Table 1).
These eight species have similar genetic composition at the IR-SSC and IR-LSC boundaries except rps19, which is not present from the border of LSC and IRA in P. euphratica and R. communis in which rpl22 crosses the border of IRA and LSC (Figure 2).

2.4. Contraction and Expansion in the Four Junction Regions

Although genomic structure including gene composition and genome size are highly conserved, expansion and contraction of IRs are common differences between plant cp genomes. Kim [34] proposed that the IRs size differ within plant cp genomes mainly results from the contraction or expansion at the junctions. Comparison of the inverted repeat-single copy (IR-SC) boundary regions of the two Celastrales and six Malpighiales species genomes showed very small differences in boundaries (Figure 2). We inspected the four boundaries (JLA, JLB, JSA, and JSB) across the two Celastrales and six Malpighiales species to detect the detailed boundary variation between the two SC regions and IRs using the methods described in [18].
The size of the IRs varied from 26,404 to 27,646 bp. The IRA-LSC junction (JLA) was situated in the rps19 gene in H. brasiliensis, M. esculenta, and V. seoulensis which crossed inside the IRA region 96 bp, 186 bp, and 67 bp, respectively, and as a result duplicated pseudogene rps19rps19) was nested within IRB for these three species. However, in C. edulis, E. japonicus and S. purpurea, JLA is situated in the intergenic regions between rpl22 and rps19 in which the distances from rps19 to the JLA were 46 bp, 12 bp and 202 bp. In two other species, P. euphratica and R. communis, JLA is situated in the coding region of rpl22 which spread into IRA 50 bp and 30 bp, respectively, and resulted in the generation of pseudogene rpl22rpl22) in IRB.
The IRA-SSC junction (JSA) was situated in or adjoined pseudogene ycf1ycf1) for all eight species; JSA of three species (H. brasiliensis, M. esculenta, and V. seoulensis) were all situated just adjacent to the end of ψycf1. Overlap between ndhF and ψycf1 was found in M. esculenta, in which ndhF expanded into the IRA region for 26 bp. For the other five species, JSA was located near ψycf1. In the other six species (C. edulis, E. japonicus, H. brasiliensis, P. euphratica, R. communis, S. purpurea and V. seoulensis), the distances between ndhF and JSA were 29 bp, 27 bp, 28 bp, 98 bp, 19 bp, 129 bp and 33 bp, respectively.
The IRB-SSC junction (JSB) is situated in the ycf1 coding region which spans into the IRB region in all eight species. However, the length of ycf1 in the IR region varied among the eight species from 953 bp to 1748 bp highlighting the dynamic variation of the junction regions.
The IRB-LSC junctions (JLB) were located between rps19 and trnH in E. japonicus and S. purpurea; situated at the end of ψrps19 in H. brasiliensis, M. esculenta; and V. seoulensis; and at the end of ψrpl22 in P. euphratica and R. communis. In the JLB junction, the trnH gene is 8 bp into IRB region in C. edulis. In the other seven species, 2–199 bp distance is found between the trnH gene and the IRB-SSC junction.
The variation in the IR-SC boundary area is due to the contraction or expansion of the IR observed in the IR-SSC boundaries. These expansions/contractions are likely to be mediated by molecular recombination within the two short, straight repeating sequences that occur frequently in the genes within the boundary [34].

2.5. Verification of the rps16 Intron Loss from Catha and Seven Other Celastraceae Species

The gene composition in the C. edulis cp genome is similar to the other angiosperm species analyzed in this study. However, we found that the rps16 gene had no intron in the C. edulis cp genome. The structure and the intron size for rps16 are conserved in the model species Arabidopsis thaliana and in our sampled species (NC_000932). However, it has been reported that rps16 gene or the intron of rps16 has been lost multiple times in numerous lineages [35,36].
To test whether the loss of the rps16 intron is common throughout the Celastraceae family or just in certain species, two primers were designed in the flanking exons to amplify and then sequence the intron region (or lack thereof) for eight species in the Celastraceae family. Based on the PCR amplification (Figure S2), the length of this rps16 amplicon is about 550 bp in all eight sampled Celastraceae species indicating that the intron has been lost throughout the Celastraceae family. We also conducted Sanger sequencing to verify the alignment of the rps16 gene (Figure 3). From this alignment, all species sampled from the Celastraceae family do not contain the rps16 intron (Figure 3A). The Sanger sequencing data provide additional evidence that all eight-species do not have this intron (Figure 3B).
Intron loss in cp genomes have been reported multiple times in different species, such as species in Desmodieae (Fabaceae) [37] and reported in both dicots and monocots. Loss of the rps16 intron could probably be best explained by a homologous recombination and the reverse-transcriptase mediated mechanism [35]. However, intron loss from DNA fragment deletions or gene transfer between introns could be due to yet unexplained processes [37]. By increasing the sampling density within Celastraceae and its closest relatives, the timing of the rps16 intron loss was inferred to occur between the Celastrales and Oxalidales + Malpighiales approximately 80 million years ago [38].

2.6. Identification of Long Repetitive Sequences

Long repetitive sequences play key functions in cp genome evolution, genome rearrangements and can be informative in phylogenetic studies [39]. Comparison of forward, complement, reverse, and palindromic repeats (≥30 bp) (with a sequence identity of ≥90% per repeat unit) were conducted across C. edulis and seven related species using REPuter (Available online: https://bibiserv.cebitec.uni-bielefeld.de/reputer/; (University of Bielefeld, Bielefeld, Germany)). Catha edulis had the fewest (8) repeats while its cp genome was not the shortest among those examined (157,960 bp) which is inconsistent with the general trend of shorter genomes possessing fewer repetitive regions [40].
A total of 175 unique repeats consisting of forward, reverse, complementary and palindromic were found from the eight-species examined (Figure 4A). The species E. japonicus included the most repeats consisting of: 14 palindromic repeats, 19 forward repeats, and eight reverse repeats, for a total of 41 repeats (Figure 4A and Table S3). In H. brasiliensis, M. esculenta, P. euphratica, R. communis, S. purpurea and V. seoulensis cp genomes, 29, 35, 20, 22, 10, and 10 total repeat pairs were found respectively (Figure 4A). Among them, 19 forward repeats were most commonly found in E. japonicus and M. esculenta and in all species the most common repeat type was forward (Figure 4A). Forward repeats are often the result of transposon activity [41], which can increase under cellular stress [42]. However, the origins and multiplication of long repetitive repeats is not fully understood [43]. Previous studies suggested that the existence of genome rearrangement could be attributed to slipped-strand mispairing and inapposite recombination of repetitive sequences [43]. Moreover, forward repeats can lead to changes in genomic structure and thus be used as markers in phylogenetic studies. The length of repeats is variable in this study, with the shortest at 30 bp and the longest at 95 bp (Table S3). The majority of repeats (82%) varied from 30 bp to 40 bp in length (Figure 4B and Table S3). Given the variability of these repeats between lineages, they can be informative regions for developing genomic markers for population and phylogenetic studies [44].

2.7. Chloroplast Genome Simple Sequence Repeats (SSRs)

Simple sequence repeats (SSRs) are sequences with motifs from 1 to 6 bp in length repeated multiple times (see methods for cutoff criteria), are found distributed throughout the cp genome, and are often used as markers for breeding studies, population genetics, and genetic linkage mapping [43,45].
A total of 278 SSRs were found in the C. edulis cp genome (Figure 5A and Table S4). These SSRs include 165 mononucleotide SSRs (59%), 43 dinucleotide SSRs (15%), 65 trinucleotide SSRs (23%), 3 tetranucleotide (0.01%), and 1 pentanucleotide SSR (0.003%) (Figure 5A and Table S4). Among the 165 SSRs, 98% of SSRs (161) are the AT type with copy number from 8 to 18 (Table S4). In these SSRs of the C. edulis cp genome, 89 SSRs were detected in protein-coding genes, 34 SSRs in introns, and 155 in intergenic regions (Figure 5B). In relation to the quadripartite, 195 SSRs were situated in the LSC, whereas 36 and 37 were identified in the SSC and IR, respectively (Figure 5C).
Among the eight species, V. seoulensis had the fewest SSRs (242) and H. brasiliensis had the most SSRs (360). Salix purpurea has the shortest cp genome (155,590 bp) with 270 SSRs and R. communis has the longest cp genome (163,161 bp) and 358 SSRs of those analyzed in this study suggesting that number of SSRs may affect genome length, but a strong correlation was not found in all species (Figure 5A). This result indicates that cp genome sizes were not obviously connected with the number of SSRs in these species. Additionally, an abundance of tetranucleotide SSRs were not found in the species studied and no pentanucleotide SSRs were found in V. seoulensis or hexanucleotide in E. japonicus, R. communis and V. seoulensis (Figure 5A). Among the eight species, most SSRs of C. edulis and E. japonicus were located in intergenic regions, most SSRs of H. brasiliensis, M. esculenta, P. euphratica, R. communis, and V. seoulensis in coding regions, and most SSRs of S. purpurea are in intronic regions (Figure 5B). Some SSRs were distributed in protein-coding regions such as ycf1 and rpoC2 (Table S4), which could also be employed as DNA markers for population level and genomic studies. Most SSRs in all eight-species were in the LSC region (Figure 5C). Common motifs in the eight-species studied generally consisted of polythymine (poly-T) or polyadenine (poly-A) (Figure 5D). The Euphorbiaceae species in this study all have more SSRs than the other species in this study as well as similar patterns of distribution in the genome. More work is needed to understand these patterns of SSR distribution in cp genomes. Lastly, the SSRs from this study should be valuable for phylogeographic studies and comparing phylogenetic relationships among Celastraceae species.

2.8. Highly Informative Coding Genes and Markers for Phylogenomic Analysis

Detecting highly informative and variable coding genes is important for DNA barcoding, marker development and phylogenomic analyses [46]. Coding genes such as matK, rbcL have been widely employed for barcoding applications [47,48] and phylogenetic reconstructions [49,50,51]. Based on compared complete cp genomes, additional informative markers were identified within the Celastraceae.
We aligned entire coding genes more than 200 bp in length to discover genes with the highest sequence identity index and the highest proportion of parsimony-informative sites, for the seven species in this study (Table 5, Table S5). In the coding regions, matK and ycf1 have the largest proportion of parsimony information characters (16.83% and 16.80%, respectively). The matK gene is used as core DNA barcoding sequence under the suggestion of CBOL working group (CBOL is The Consortium for the Barcode of Life, an international initiative devoted to developing DNA barcoding as a global standard for the identification of biological species) and also in concert with other variable genes such as ITS + psbA-trnH + matK which was shown to have the highest species identification rate [52]. Given the high number of parsimony informative in ycf1, it may also serve as another core DNA barcode in future plant studies [14]. The coding regions identified in this analysis (Table 5) should be particularly informative for species identification and phylogenetic analyses due to the high percentage of variable sites.

2.9. Phylogenetic Analysis

Based on cp genomes, phylogenetic analyses have helped to resolve the relationships of many angiosperm lineages [53,54]. Previous phylogenetic work in Celastraceae was inferred based on nuclear (26S rDNA and ITS) together with morphological traits and chloroplast genes (matK, trnL-F) [10]. Our phylogenetic analyses included C. edulis and 28 species which were sampled based on relationships from NCBI database (Available online: http://www.ncbi.nlm.nih.gov/genomes/GenomesGroup.cgi?taxid=2759&opt=plastid) and the angiosperm tree of life (Available online: http://www.mobot.org/mobot/research/apweb/) with Glycine canescens, Glycine falcate, Trifolium aureum, and Trifolium boissieri from Fabaceae as outgroup taxa. The phylogenetic tree indicated that Catha and Euonymus where most closely related based on 73 common protein-coding genes (Figure 6). Most branches of the phylogenetic tree had high bootstrap support with all three methods. This suggests that the full cp genome information could be very useful in resolving phylogenetic conflicts but phylogenetic analyses with many closely related species are needed to test the resolving power of chloroplast coding genes [55].
With a clearly resolved and strongly supported phylogeny, evolutionary patterns can be more clearly interpreted, such as gene or intron sequence loss/gain. Specifically, the intron loss of the rps16 gene and loss of the whole rps16 gene (Figure 6), were found in Celastraceae (rps16 intron loss) and independently (rps16 gene loss) in the genus Trifolium (Fabaceae), and the clade Salicaceae + Violaceae (Table S6). Gene and intron loss have been noted numerous times in land plant cp genomes [37]. From the phylogenetic tree, we were able to infer that the intron of rps16 was lost in an ancestor to the Celastraceae independently from the two rps16 gene loss events (Figure 6). Why only the rps16 intron was lost in the Celastraceae and the entire gene in other closely related lineages is not known. Further study is needed to understand the underlying mechanisms of gene vs. intron loss in these related groups.

3. Materials and Methods

3.1. DNA Extraction and Sequencing

DNA for this project was obtained from aliquots of the extracts used in Tembrock et al., 2017. Total genomic DNA was used to build sequence libraries (Illumina Inc., San Diego, CA, USA), and was extracted from leaves using a Catha specific DNA extraction protocol described in Tembrock et al., 2017. At the Beijing Genomics Institute (BGI), an Illumina HiSeq 2000 sequencer was used to sequence paired-end (PE) sequencing libraries with an average 300 bp insert length. From this, over 10 million clean reads were passed through quality control with a 100 bp each read length. All other used species in this paper were listed in Table S1.

3.2. Chloroplast Genome Assembly and Sequence Analysis

The original Illumina reads were pre-processed, including the trimming and filtering of low-quality sequences with Trimmomatic v0.3 [56] in which the parameters used were as follows: minlen: 50; trailing: 3; leading: 3; and sliding window: 4:15. De novo assembly from C. edulis employed the default parameters (Available online: http://www.clcbio.com) in the CLC genomic workbench v7 (CLCbio, Hilden, Germany). Then, three independent de novo assemblies, which included single-end forward reads, single end reverse reads, and PE reads, were performed [18]. After that, a single assembly formed by the combination of these three separate assemblies was conducted. From the complete CLC assembly results, assembled contigs longer than 0.5 kb with over 100× coverage were compared to complete cp genomes of several species, including Euonymus japonicus (Celastraceae, KP189362), Populus euphratica (Salicaceae; NC_024747), and Salix purpurea (Salicaceae; NC_026722). Matching the contigs from the cp genomes was done using Local BlastN searches [57]. Using the conserved cp genome regions, the related cp genomes were matched with the mapped contigs [58] and then a single contig was connected to these contigs to create the quadripartite genome employing Contig Express 2003 (Invitrogen, Carlsbad, CA, USA). By designing primers in regions flanking gaps, PCR amplification was carried out and the gap sequences were completed by adding sequence data obtained from Sanger sequencing (Figure S2).
Additionally, primers were designed to verify de novo sequence assemblies, such as the junction regions of the cp genome (Table S2). The 40-μL PCR volume was setup as follows: 10× Taq buffer 4 μL, ddH2O 33.3 μL, 10 mM dNTP 0.8 μL, 20 pmol/μL each primer 0.5 μL, 5 U/μL Taq polymerase 0.4 μL and DNA template 0.5 μL. Taq buffer, dNTP, primers were from Sangong Biotech (Shanghai, China). Cycling conditions were 94 °C for 5 min, 32 cycles 94 °C for 45 s, 54 °C for 45 s, 72 °C for 2 min and, a 10 min 72 °C final extension step. By combining the results of Sanger sequencing, the whole cp genome was used to map reference species to confirm the assembly with the uniformity of the iterative sequences.
Annotation of the transfer RNAs (tRNAs), protein-coding genes, and ribosomal RNAs (rRNAs) was first performed using DOGMA v1.2 (University of Texas at Austin, Austin, TX, USA) [59]. Then, the protein-coding gene positions in the draft annotation were verified and if necessary manually adjusted following alignment to the related species, Euonymus japonicas [58] to accurately determine the genes starting point, stop codons and exon borders. Finally, BLASTN searches and tRNAscan-SE v1.21 (University of California Santa Cruz, CA, USA) [60] were employed to verify both tRNA and rRNA genes.
A graphical cp genome map for C. edulis was completed using OGDraw (OrganellarGenomeDRAW) (V 1.2, Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Germany) [61]. The annotated C. edulis cp genome reported and analyzed herein has been deposited in GenBank (KT861471).

3.3. Chloroplast Genomes Comparison

3.3.1. IR Expansion and Contraction

The changes in the size of the angiosperm cp genomes are mainly due to the contraction and expansion from the inverted repeat region, and the two single copy boundary areas. Four borders (JLA, JLB, JSA, and JSB) are present in the C. edulis cp genome and are situated in the middle of two IRs and two single copy regions [62]. The IR borders and neighboring genes of the two Celastrales species (Catha edulis and Euonymus japonicus) and six Malpighiales species cp genomes (Hevea brasiliensis, Manihot esculea, Populus euphratica, Ricinus communis, Salix purpurea, and Viola seoulensis) were compared in this study.

3.3.2. Repeat Analysis

Two methods were used to search repeats in C. edulis [63]. We identified simple sequence repeats (SSRs) using SSR Hunter v1.3 (Nanjing Agricutural University, Nanjing, China) [64] with cut-offs of eight copy number for mono-SSRs, four copy number for di-, three copy number for tri-, tetra-, penta- and hexanucleotide SSRs. To discover larger repeat regions, REPuter [65] was employed to find four possible repeats types: containing complement, forward, palindrome, and reverse repeats. Nested and low complexity repeats were not included in this study [66].

3.3.3. Dot-Plot Analysis

To identify the structural variations across all 14 genera, Populus (Salicaceae; Malpighiales), Salix (Salicaceae; Malpighiales), Viola (Violaceae; Malpighiales), Hevea (Euphorbiaceae; Malpighiales), Manihot (Euphorbiaceae; Malpighiales), Ricinus (Euphorbiaceae; Malpighiales), and Euonymus (Celastraceae; Celastrales), as well as outgroup genera Prunus, Morus, Theobroma, Eucalyptus, Elaeagnus, Castanea, and Citrus, we conducted the dot-plot analysis (based on a custom perl script) [13] between C. edulis and all 14 genera to visualize structural differences in two dimensional plots.

3.3.4. Verification of the rps16 Intron Loss from Catha and Seven Other Celastraceae Genera

During annotation, the intron loss of rps16 was found in the cp genome of C. edulis. To verify whether this intron loss happened throughout Celastraceae, two primers were designed (Forward-ACTTCGTTTGAGACGGTGTG, Reverse- AAAAACCCCGATTTCTTTGA) to amplify the entire rps16 intron from C. edulis and seven other Celastraceae species (Quetzalia stipitata, Mortonia diffusa, Microtropis triflora, Maytenus elliptica, Monimopetalum chinensis, Cassine aethiopica, and Parnassia glauca). In C. edulis, the target rps16 fragment without the intron is about 550 bp. Absence of the rps16 intron was visualized on 0.8% agarose gels. The size of the fragment was determined by comparing it to a DNA size standard [67]. The rps16 gene was sequenced using Sanger sequencing at the Beijing Genomics Institute (BGI).

3.3.5. Phylogenetic Analyses

The 73 common protein-coding genes of 26 species cp genomes, among them eight Rosales and four Fabales outgroup species, were aligned under the default parameters of Clustal X, with reading frames included by manual correction (Supplement data matrix) [68]. The phylogenetic tree based on these 73 common genes was inferred using three different methods. Implementation of Parsimony analysis, Bayesian inference (BI), and maximum likelihood (ML) were made in PAUP* 4.0b10 [69], MrBayes 3.1.2, and PHYML v 2.4.5 [70,71] respectively using the parameters from Wu et al. [18].

4. Conclusions

In this study, using next generation sequencing technology, we successfully completed the whole chloroplast genome for the economically important species C. edulis. In comparing the C. edulis cp genome with numerous closely related species, we found that it has a typical angiosperm cp genome structure and gene content. However, some unique features are reported here, such as the loss of the intron region from the rps16 gene, and repeat structure and abundance. We also resolved the phylogenetic position of C. edulis with its relatives including the monophyly of Celastraceae. The whole cp genome of C. edulis provides a valuable genetic resource for further phylogenomic research, barcoding, and cp transformation in Celastraceae.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/19/2/525/s1.

Acknowledgments

This research was supported by Zhejiang Provincial Natural Science Foundation of China under Grant No. LY17C160003. The sponsors had no role in data collection, study design, data analysis, or preparing the manuscript. We also thank the editor and the constructive comments of the four anonymous reviewers who helped us to improve this manuscript. We are grateful to Nels Johnson for his kinds help on manuscript editing and improvement.

Author Contributions

Conceived and designed the experiments: Zhiqiang Wu, Cuihua Gu; Performed the experiments: Zhiqiang Wu, Cuihua Gu; Analyzed the data: Zhiqiang Wu, Cuihua Gu, Luke R. Tembrock, Shaoyu Zheng; Contributed reagents/materials/analysis tools: Zhiqiang Wu, Cuihua Gu, Luke R. Tembrock; Wrote the paper: Zhiqiang Wu, Cuihua Gu, Luke R. Tembrock, Shaoyu Zheng.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Al-Motarreb, A.; Baker, K.; Broadly, K.J. Khat: Pharmacological and medical aspects and its social use in Yemen. Phytother. Res. 2002, 16, 403–413. [Google Scholar] [CrossRef] [PubMed]
  2. Anderson, D.; Beckerleg, S.; Hailu, D.; Klein, A. The Khat Controversy: Stimulating the Debate on Drugs; Berg: Oxford, UK, 2007. [Google Scholar]
  3. Carrier, N.C.M. The Social Life of a Stimulant; Brill: Leiden, The Netherlands, 2007. [Google Scholar]
  4. Kennedy, J.G. The flower of paradise: The Institutional Use of the Drug Qat in North Yemen. Q. Rev. Biol. 1988, 63, 364–365. [Google Scholar]
  5. World Bank. Yemen: Towards Qat Demand Reduction; World Bank Document Report 39738-YE; World Bank: Washington, DC, USA, 2007. [Google Scholar]
  6. Gebissa, E. Leaf of Allah: Khat & Agricultural Transformation in Harerge, Ethiopia; James Currey Ltd.: Oxford, UK, 2004. [Google Scholar]
  7. Curto, M.A.; Tembrock, L.R.; Puppo, P.; Nogueira, M.; Simmons, M.P.; Meimberg, H. Evaluation of microsatellites of Catha edulis (qat; Celastraceae) identified using pyrosequencing. Biochem. Syst. Ecol. 2013, 49, 1–9. [Google Scholar] [CrossRef]
  8. Hagel, J.M.; Krezevski, K.; Sitrit, Y.; Marsolais, F.; Facchini, J.P.; Krizevski, R.; Lewinsohn, E. Expressed sequence tag analysis of khat (Catha edulis) provides a putative molecular biochemical basis for the biosynthesis of phenylpropylamino alkaloids. Genet. Mol. Biol. 2011, 34, 640–646. [Google Scholar] [CrossRef] [PubMed]
  9. Tembrock, L.R.; Broeckling, C.D.; Heuberger, A.L.; Simmons, M.P.; Stermitz, F.R.; Uvarov, J.M. Employing two-stage derivatisation and GC–MS to assay for cathine and related stimulant alkaloids across the Celastraceae. Phytochem. Anal. 2017, 28, 257–266. [Google Scholar] [CrossRef] [PubMed]
  10. Simmons, M.P.; Cappa, J.J.; Archer, R.H.; Ford, A.J.; Eichstedt, D.; Clevinger, C.C. Phylogeny of the Celastreae (Celastraceae) and the relationships of Catha edulis (qat) inferred from morphological characters and nuclear and plastid genes. Mol. Phylogenet. Evol. 2008, 48, 745–757. [Google Scholar] [CrossRef] [PubMed]
  11. Tembrock, L.R.; Simmons, M.P.; Richards, C.M.; Reeves, P.A.; Reilley, A.; Curto, M.A.; Al-Thobhani, M.; Varisco, D.M.; Simpson, S.; Ngugi, G.; et al. Phylogeography of the wild and cultivated stimulant plant qat (Catha edulis, Celastraceae) in areas of historical cultivation. Am. J. Bot. 2017, 104, 538–549. [Google Scholar] [CrossRef] [PubMed]
  12. 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]
  13. Gu, C.H.; Tembrock, L.R.; Johnson, N.G.; Simmons, M.P.; Wu, Z.Q. The complete plastid genome of Lagerstroemia fauriei and loss of rpl2 intron from Lagerstroemia (Lythraceae). PLoS ONE 2016, 11, e0150752. [Google Scholar] [CrossRef] [PubMed]
  14. Dong, W.; Xu, C.; Li, C.; Sun, J.; Zuo, Y.; Shi, S.; Cheng, T.; Guo, J.; Zhou, S. ycf1, the most promising plastid DNA barcode of land plants. Sci. Rep. 2015, 5, 8348. [Google Scholar] [CrossRef] [PubMed]
  15. Palmer, J.D. Comparative organization of chloroplast genomes. Annu. Rev. Genet. 1985, 19, 325–354. [Google Scholar] [CrossRef] [PubMed]
  16. Wicke, S.; Schneeweiss, G.M.; DePamphilis, C.W.; Müller, K.F.; Quandt, D. The evolution of the plastid chromosome in land plants: Gene content, gene order, gene function. Plant Mol. Biol. 2011, 76, 273–297. [Google Scholar] [CrossRef] [PubMed]
  17. Soltis, D.E.; Gitzendanner, M.; Stull, G.; Chester, M.; Chanderbali, A.; Jordon-Thaden, I.; Soltis, P.S.; Schnable, P.S.; Barbazuk, W.B. The potential of genomics in plant systematics. Taxon 2013, 62, 886–898. [Google Scholar] [CrossRef]
  18. Wu, Z.Q.; Tembrock, L.R.; Ge, S. Are Differences in Genomic Data Sets due to True Biological Variants or Errors in Genome Assembly: An Example from Two Chloroplast Genomes. PLoS ONE 2015, 10, e0118019. [Google Scholar] [CrossRef] [PubMed]
  19. CBOL. A DNA barcode for land plants. Proc. Natl. Acad. Sci. USA 2009, 106, 12794–12797. [Google Scholar]
  20. Day, A.; Goldschmidt-Clermont, M. The chloroplast transformation toolbox: Selectable markers and marker removal. Plant Biotechnol. J. 2011, 9, 540–553. [Google Scholar] [CrossRef] [PubMed]
  21. Shaw, J.; Lickey, E.B.; Beck, J.T.; Farmer, S.B.; Liu, W.; Miller, J.; Siripun, K.C.; Winder, C.T.; Schilling, E.E.; Small, R.L. The tortoise and the hare II: Relative utility of 21 noncoding chloroplast DNA sequences for phylogenetic analysis. Am. J. Bot. 2005, 92, 142–166. [Google Scholar] [CrossRef] [PubMed]
  22. Wu, Z.Q.; Ge, S. The phylogeny of the BEP clade in grasses revisited: Evidence from the whole-genome sequences of chloroplasts. Mol. Phylogenet. Evol. 2012, 62, 573–578. [Google Scholar] [CrossRef] [PubMed]
  23. Cerutti, H.; Johnson, A.M.; Boynton, J.E.; Gillham, N.W. Inhibition of chloroplast DNA recombination and repair by dominant negative mutants of Escherichia coli RecA. Mol. Cell. Biol. 1995, 15, 3003–3011. [Google Scholar] [CrossRef] [PubMed]
  24. Maliga, P. Plastid transformation in higher plants. Annu. Rev. Plant Biol. 2004, 55, 289–313. [Google Scholar] [CrossRef] [PubMed]
  25. Maliga, P.; Staub, J.; Carrer, H.; Kanevski, I.; Svab, Z. Homologous Recombination and Integration of Foreign DNA in Plastids of Higher Plants; Paszkowski, J., Ed.; Kluwer Academic: Amsterdam, The Netherlands, 1994. [Google Scholar]
  26. Svab, Z.; Maliga, P. High-frequency plastid transformation in tobacco by selection for a chimeric aadA gene. Proc. Natl. Acad. Sci. USA 1993, 90, 913–917. [Google Scholar] [CrossRef] [PubMed]
  27. Yang, J.B.; Li, D.Z.; Li, H.T. Highly effective sequencing whole chloroplast genomes of angiosperms by nine novel universal primer pairs. Mol. Ecol. Resour. 2014, 14, 1024–1031. [Google Scholar] [CrossRef] [PubMed]
  28. O’Brien, S.J.; Stanyon, R. Phylogenomics. Ancestral primate viewed. Nature 1999, 402, 365–366. [Google Scholar] [CrossRef] [PubMed]
  29. Green, B.R. Chloroplast genomes of photosynthetic eukaryotes. Plant J. 2011, 66, 34–44. [Google Scholar] [CrossRef] [PubMed]
  30. Su, H.; Hogenhout, S.A.; Al-sadi, A.M.; Kuo, C. Complete chloroplast genome sequence of Omani Lime (Citrus aurantiifolia) and comparative analysis within the Rosids. PLoS ONE 2014, 9, e113049. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Redwan, R.M.; Saidin, A.; Kumar, S.V. Complete chloroplast genome sequence of MD-2 pineapple and its comparative analysis among nine other plants from the subclass Commelinidae. BMC Plant Biol. 2015, 15, 196. [Google Scholar] [CrossRef] [PubMed]
  32. Tangphatsornruang, S.; Uthaipaisanwong, P.; Sangsrakru, D.; Chanprasert, J.; Yoocha, T.; Jomchai, N.; Tragoonrung, S. Characterization of the complete chloroplast genome of Hevea brasiliensis reveals genome rearrangement, RNA editing sites and phylogenetic relationships. Gene 2011, 475, 104–112. [Google Scholar] [CrossRef] [PubMed]
  33. Raubeson, L.A.; Peery, R.; Chumley, T.W.; Dziubek, C.; Fourcade, H.M. Comparative chloroplast genomics: Analyses including new sequences from the angiosperms Nuphar advena and Ranunculus macranthus. BMC Genom. 2007, 8, 174. [Google Scholar] [CrossRef] [PubMed]
  34. Kim, K.J.; Lee, H.L. Complete chloroplast genome sequences from Korean ginseng (Panax ginseng Nees) and comparative analysis of sequence evolution among 17 vascular plants. DNA Res. 2004, 11, 247–261. [Google Scholar] [CrossRef] [PubMed]
  35. Ryzhova, N.N.; Kholda, O.A.; Kochieva, E.Z. Structure characteristics of the chloroplast rps16 intron in Allium sativum and related Allium species. Mol. Biol. 2009, 43, 766–775. [Google Scholar] [CrossRef]
  36. Schwarz, E.N.; Ruhlman, T.A.; Sabir, J.S.; Hajrah, N.H.; Alharbi, N.S.; Al-Malki, A.L.; Bailey, C.D.; Jansen, R.K. Plastid genome sequences of legumes reveal parallel inversions and multiple losses of rps16 in papilionoids. J. Syst. Evol. 2015, 53, 458–468. [Google Scholar] [CrossRef]
  37. Downie, S.R.; Olmstead, R.G.; Zurawski, G.; Soltis, D.E.; Soltis, S.; Watson, J.C.; Palmer, J.D. Six independent losses of the Chloroplast DNA rpl2 intron in Dicotyledons: Molecular and Phylogenetic Implications. Evolution 1991, 45, 1245–1259. [Google Scholar] [CrossRef] [PubMed]
  38. Tank, D.C.; Eastman, J.M.; Pennell, M.W.; Soltis, P.S.; Soltis, D.E.; Hinchliff, C.E.; Brown, J.W.; Sessa, E.B.; Harmon, L.J. Nested radiations and the pulse of angiosperm diversification: Increased diversification rates often follow whole genome duplications. New Phytol. 2015, 207, 454–467. [Google Scholar] [CrossRef] [PubMed]
  39. CavalierSmith, T. Chloroplast evolution: Secondary symbiogenesis and multiple losses. Curr. Biol. 2002, 12, 62–64. [Google Scholar] [CrossRef]
  40. Rubinsztein, D.C.; Amos, W.; Leggo, J.; Goodburn, S.; Jain, S.; Li, S.H.; Margolis, R.L.; Ross, C.A.; Ferguson-Smith, M.A. Microsatellite evolution—Evidence for directionality and variation in rate between species. Nat. Genet. 1995, 10, 337–343. [Google Scholar] [CrossRef] [PubMed]
  41. Gemayel, R.; Cho, J.; Boeynaems, S.; Verstrepen, K.J. Beyond junk-variable tandem repeats as facilitators of rapid evolution of regulatory and coding sequences. Genes 2012, 3, 461–480. [Google Scholar] [CrossRef] [PubMed]
  42. Voronova, A.; Belevich, V.; Jansons, A.; Rungis, D. Stress-induced transcriptional activation of retrotransposon-like sequences in the Scots pine (Pinus sylvestris L.) genome. Tree Genet. Genomes 2014, 10, 937–951. [Google Scholar] [CrossRef]
  43. Timme, R.E.; Kuehl, J.V.; Boore, J.L.; Jansen, R.K. A comparative analysis of the Lactuca and Helianthus (Asteraceae) plastid genomes: Identification of divergent regions and categorization of shared repeats. Am. J. Bot. 2007, 94, 302–312. [Google Scholar] [CrossRef] [PubMed]
  44. Nie, X.; Lv, S.; Zhang, Y.; Du, X.; Wang, L.; Biradar, S.S.; Tan, X.; Wan, F.; Weining, S. Complete chloroplast genome sequence of a major invasive species, crofton weed (Ageratina adenophora). PLoS ONE 2012, 7, e36869. [Google Scholar] [CrossRef] [PubMed]
  45. Grassi, F.; Labra, M.; Scienza, A.; Imazio, S. Chloroplast SSR markers to assess DNA diversity in wild and cultivated grapevines. Vitis 2002, 41, 157–158. [Google Scholar]
  46. Dong, W.; Liu, J.; Yu, J.; Wang, L.; Zhou, S. Highly variable chloroplast markers for evaluating plant phylogeny at low taxonomic levels and for DNA barcoding. PLoS ONE 2012, 7, e35071. [Google Scholar] [CrossRef] [PubMed]
  47. Kress, W.J.; Erickson, D.L. A two-locus global DNA barcode for land plants: The coding rbcL gene complements the non-coding trnH-psbA spacer region. PLoS ONE 2007, 2, e508. [Google Scholar] [CrossRef] [PubMed]
  48. Li, X.; Yang, Y.; Henry, R.J.; Rossetto, M.; Wang, Y.; Chen, S. Plant DNA barcoding: From gene to genome. Biol. Rev. 2014, 90, 157–166. [Google Scholar] [CrossRef] [PubMed]
  49. Hilu, K.W.; Black, C.; Diouf, D.; Burleigh, J.G. Phylogenetic signal in matK vs. trnK: A case study in early diverging eudicots (angiosperms). Mol. Phylogenet. Evol. 2008, 48, 1120–1130. [Google Scholar] [CrossRef] [PubMed]
  50. Kim, K.J.; Jansen, R.K. ndhF sequence evolution and the major clades in the sunflower family. Proc. Natl. Acad. Sci. USA 1995, 92, 10379–10383. [Google Scholar] [CrossRef] [PubMed]
  51. Li, J. Phylogeny of Catalpa (Bignoniaceae) inferred from sequences of chloroplast ndhF and nuclear ribosomal DNA. J. Syst. Evol. 2008, 46, 341–348. [Google Scholar]
  52. Yan, H.F.; Liu, Y.J.; Xie, X.F.; Zhang, C.Y.; Hu, C.M.; Hao, G.; Ge, X.J. DNA barcoding evaluation and its taxonomic implications in the species-rich genus Primula L. in China. PLoS ONE 2015, 10, e0122903. [Google Scholar] [CrossRef] [PubMed]
  53. Jansen, R.K.; Cai, Z.; Raubeson, L.A.; Daniell, H.; Depamphilis, C.W.; Leebens-Mack, J.; Müller, K.F.; Guisinger-Bellian, M.; Haberle, R.C.; Hansen, A.K.; et al. Analysis of 81 genes from 64 plastid genomes resolves relationships in angiosperms and identifies genome-scale evolutionary patterns. Proc. Natl. Acad. Sci. USA 2007, 104, 19369–19374. [Google Scholar] [CrossRef] [PubMed]
  54. Moore, M.J.; Bell, C.D.; Soltis, P.S.; Soltis, D.E. Using plastid genome-scale data to resolve enigmatic relationships among basal angiosperms. Proc. Natl. Acad. Sci. USA 2007, 104, 19363–19368. [Google Scholar] [CrossRef] [PubMed]
  55. Gao, L.; Su, Y.J.; Wang, T. Plastid genome sequencing, comparative genomics, and phylogenomics: Current status and prospects. J. Syst. Evol. 2010, 48, 77–93. [Google Scholar] [CrossRef]
  56. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [PubMed]
  57. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinform. 2009, 10, 421. [Google Scholar] [CrossRef] [PubMed]
  58. Choi, K.S.; Park, S. The complete chloroplast genome sequence of Euonymus japonicus (Celastraceae). Mitochondrial DNA 2015, 1736, 1–2. [Google Scholar]
  59. Wyman, S.K.; Jansen, R.K.; Boore, J.L. Automatic annotation of organellar genomes with DOGMA. Bioinformatics 2004, 20, 3252–3255. [Google Scholar] [CrossRef] [PubMed]
  60. Schattner, P.; Brooks, A.N.; Lowe, T.M. The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs. Nucleic Acids Res. 2005, 33, 686–689. [Google Scholar] [CrossRef] [PubMed]
  61. Lohse, M.; Drechsel, O.; Bock, R. OrganellarGenomeDRAW (OGDRAW): A tool for the easy generation of high-quality custom graphical maps of plastid and mitochondrial genomes. Curr. Genet. 2007, 52, 267–274. [Google Scholar] [CrossRef] [PubMed]
  62. Wang, R.J.; Cheng, C.L.; Chang, C.C.; Wu, C.L.; Su, T.M.; Chaw, S.M. Dynamics and evolution of the inverted repeat-large single copy junctions in the chloroplast genomes of monocots. BMC Evol. Biol. 2008, 8, 36. [Google Scholar] [CrossRef] [PubMed]
  63. Huang, H.; Shi, C.; Liu, Y.; Mao, S.Y.; Gao, L.Z. Thirteen Camellia chloroplast genome sequences determined by high-throughput sequencing: Genome structure and phylogenetic relationships. BMC Evol. Biol. 2016, 14, 151. [Google Scholar] [CrossRef] [PubMed]
  64. Li, Q.; Wan, J.M. SSRHunter: Development of local searching software for SSR sites. Yi Chuan 2005, 27, 808–810. [Google Scholar] [PubMed]
  65. Kurtz, S.; Choudhuri, J.V.; Ohlebusch, E.; Schleiermacher, C.; Stoye, J.; Giegerich, R. REPuter: The manifold applications of repeat analysis on a genomic scale. Nucleic Acids Res. 2001, 29, 4633–4642. [Google Scholar] [CrossRef] [PubMed]
  66. Yang, Y.; Dang, Y.; Li, Q.; Lu, J.J.; Li, X.W.; Wang, Y.T. Complete Chloroplast genome sequence of poisonous and medicinal plant Datura stramonium: Organizations and implications for genetic engineering. PLoS ONE 2014, 9, e110656. [Google Scholar] [CrossRef] [PubMed]
  67. Jansen, R.K.; Wojciechowski, M.F.; Sanniyasi, E.; Lee, S.B.; Daniell, H. Complete plastid genome sequence of the chickpea (Cicer arietinum) and the phylogenetic distribution of rps12 and clpP intron losses among legumes (Leguminosae). Mol. Phylogenet. Evol. 2008, 48, 1204–1217. [Google Scholar] [CrossRef] [PubMed]
  68. Simmons, M.P. Independence of alignment and tree search. Mol. Phylogenet. Evol. 2004, 31, 874–879. [Google Scholar] [CrossRef] [PubMed]
  69. Swofford, D.L. Paup*: Phylogenetic Analysis Using Parsimony (and other methods). Mccarthy 1993, 1–142. [Google Scholar]
  70. Guindon, S.; Dufayard, J.F.; Lefort, V.; Anisimova, M. New alogrithms and methods to estimate maximum-likelihoods phylogenies: Assessing the performance of PhyML 30. Syst. Biol. 2010, 59, 307–321. [Google Scholar] [CrossRef] [PubMed]
  71. Ronquist, F.; Teslenko, M.; Van Der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. Mrbayes 3.2: Efficient bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Circular map of the C. edulis cp genome. Genes shown inside and outside of the outer circle are transcribed clockwise and counterclockwise, respectively. The innermost shaded area inside the inner circle corresponds to GC content in the cp genome. Genes in different functional groups are color coded. IR, inverted repeat; LSC, large single copy region; SSC, small single copy region. The map is drawn using OGDRAW (V 1.2, Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Germany).
Figure 1. Circular map of the C. edulis cp genome. Genes shown inside and outside of the outer circle are transcribed clockwise and counterclockwise, respectively. The innermost shaded area inside the inner circle corresponds to GC content in the cp genome. Genes in different functional groups are color coded. IR, inverted repeat; LSC, large single copy region; SSC, small single copy region. The map is drawn using OGDRAW (V 1.2, Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Germany).
Ijms 19 00525 g001
Figure 2. Comparison of junctions between the LSC, SSC, and IRs among eight species. Number above indicates the distance in bp between the ends of genes and the borders sites (distances are not to scale in this figure). The ψ symbol represents pseudogenes.
Figure 2. Comparison of junctions between the LSC, SSC, and IRs among eight species. Number above indicates the distance in bp between the ends of genes and the borders sites (distances are not to scale in this figure). The ψ symbol represents pseudogenes.
Ijms 19 00525 g002
Figure 3. The sequence variation for rps16 gene with and without intron: (A) The structural components of rps16 gene in 20 species. All Species outside of Celastraceae family contained the rps16 intron. (B) The purple area in all eight species from different genera of the Celastraceae family showed the connection of two exons indicating the lost intron.
Figure 3. The sequence variation for rps16 gene with and without intron: (A) The structural components of rps16 gene in 20 species. All Species outside of Celastraceae family contained the rps16 intron. (B) The purple area in all eight species from different genera of the Celastraceae family showed the connection of two exons indicating the lost intron.
Ijms 19 00525 g003
Figure 4. Analysis of repeat sequences in eight chloroplast genomes: (A) frequency of repeat types; and (B) frequency of the repeats by length ≥30 bp.
Figure 4. Analysis of repeat sequences in eight chloroplast genomes: (A) frequency of repeat types; and (B) frequency of the repeats by length ≥30 bp.
Ijms 19 00525 g004
Figure 5. The distribution, type, and presence of simple sequence repeats (SSRs) in eight chloroplast genomes: (A) number of different SSR types detected in eight chloroplast genomes presence of SSRs at the LSC, SSC, and IR regions.; (B) frequency of SSRs in the protein-coding regions, intergenic spacers and intronic regions; (C) frequency of SSRs in the LSC, SSC, and IR regions; and (D) frequency of common motifs in the eight chloroplast genomes.
Figure 5. The distribution, type, and presence of simple sequence repeats (SSRs) in eight chloroplast genomes: (A) number of different SSR types detected in eight chloroplast genomes presence of SSRs at the LSC, SSC, and IR regions.; (B) frequency of SSRs in the protein-coding regions, intergenic spacers and intronic regions; (C) frequency of SSRs in the LSC, SSC, and IR regions; and (D) frequency of common motifs in the eight chloroplast genomes.
Ijms 19 00525 g005
Figure 6. Phylogenetic tree based on 73 shared protein-coding genes was constructed for 33 species using three different methods, including Parsimony analysis, maximum likelihood (ML) and Bayesian inference (BI). All branches had bootstrap values or posterior probability of 100/1.00 except those labeled. The rps16 gene losses are indicated with green triangles and the rps16 intron loss is indicated with a purple triangle.
Figure 6. Phylogenetic tree based on 73 shared protein-coding genes was constructed for 33 species using three different methods, including Parsimony analysis, maximum likelihood (ML) and Bayesian inference (BI). All branches had bootstrap values or posterior probability of 100/1.00 except those labeled. The rps16 gene losses are indicated with green triangles and the rps16 intron loss is indicated with a purple triangle.
Ijms 19 00525 g006
Table 1. Comparison of plastid genome size among eight species.
Table 1. Comparison of plastid genome size among eight species.
RegionFeaturesC. edulisE. japonicusH. brasiliensisM. esculentaP. euphraticaR. communisS. purpureaV. seoulensis
LSCLength (bp)86,31585,94189,20989,29584,88889,65184,45285,691
GC Content (%)35.135.133.233.334.533.334.433.8
Length Percentage (%)54.654.555.355.354.154.954.354.8
SSCLength (bp)18,49118,34018,36218,25016,58618,81616,22018,008
GC Content (%)31.831.829.529.630.629.53129.6
Length Percentage (%)11.711.611.411.310.611.510.411.5
IRLength (bp)26,57726,67826,81026,95427,64627,34727,45926,404
GC Content (%)42.742.742.242.341.941.941.942.6
Length Percentage (%)16.816.916.616.717.616.817.616.9
TotalLength (bp)157,960157,637161,191161,453156,766163,161155,590156,507
GC Content (%)37.337.335.735.936.735.736.736.3
LSC, large single copy region; SSC, small single copy region; IR, inverted repeat.
Table 2. Comparison of coding and non-coding region size among eight species.
Table 2. Comparison of coding and non-coding region size among eight species.
RegionSpeciesC. edulisE. japonicusH. brasiliensisM. esculentaP. euphraticaR. communisS. purpureaV. seoulensis
Protein codinglength (bp)78,47177,33178,85279,08978,72878,11977,89878,310
Length Percentage (%)49.749.148.949.050.247.950.150.0
GC Content (%)3838.237.137.237.637.537.637.2
tRNAlength (bp)28062806279827422796280227922810
Length Percentage (%)1.81.81.71.71.81.71.81.8
GC Content (%)52.653.353.253.35353.252.953
rRNAlength (bp)9,050905090509050905090509,0509050
Length Percentage (%)5.75.75.65.65.85.55.85.8
GC Content (%)55.255.455.455.555.555.555.455.4
Intronlength (bp)18,47419,28718,53818,47918,21018,27817,32118,348
Length Percentage (%)11.712.211.511.411.611.211.111.7
GC Content (%)37.136.636.636.936.937.137.336.7
Intergeniclength (bp)49,15949,16351,95352,09347,98254,91248,52947,989
Length Percentage (%)31.131.232.232.330.633.731.230.7
GC Content (%)31.931.729293128.730.730.1
Table 3. List of genes in the C. edulis plastid genome.
Table 3. List of genes in the C. edulis plastid genome.
Gene CategoryGroups of GenesName of Genes
Self-replicationTransfer RNA genestrnAUGC a,b trnCGCA trnDGUC trnEUUC trnFGAA trnfMCAU trnGUCC trnGGCC trnHGUG trnICAU b trnIGAU a,b trnKUUU a trnLCAA b trnLUAA a trnLUAG trnMCAU trnNGUU b trnPUGG trnQUUG trnRACG b trnRUCU trnSGCU trnSGGA trnSUGA trnTGGU trnTUGU trnVGAC b trnVUAC a trnWCCA trnYGUA
Small subunit of ribosomerps2 rps3 rps4 rps7b rps8 rps11 rps12 a,b rps14 rps15 rps16 rps18 rps19
Ribosomal RNA genesrrn16 b rrn23 b rrn4.5 b rrn5 b
Large subunit of ribosomerpl2 b rpl14 rpl16 a rpl20 rpl22 rpl23 b rpl32 rpl33 rpl36
DNA dependent RNA polymeraserpoA rpoB rpoC1 a rpoC2
PhotosynthesisSubunits of photosystem IpsaA psaB psaC psaI psaJ
Subunits of photosystem IIpsbA psbB psbC psbD psbE psbF psbH psbI psbJ psbK psbL psbM psbN psbT psbZ
Subunits of cytochromepetA petB a petD a petG petL petN
Subunits of ATP synthaseatpA atpB atpE atpF a atpH atpI
ATP-dependent protease subunit p geneclpP a
Large subunit of RubiscorbcL
Subunits of NADH dehydrogenasendhA a ndhB a,b ndhC ndhD ndhE ndhF ndhG ndhH ndhI ndhJ ndhK
Other genesMaturasematK
Envelop membrane proteincemA
Subunit of acetyl-CoA-carboxylaseaccD
c-type cytochrome synthesis geneccsA
Genes of unknown functionConserved open reading framesycf1 ycf2 b ycf3 a ycf4
a Genes containing introns; b Duplicated gene (Genes present in the IR regions).
Table 4. Genes with intron and their length of exons and introns in plastid genome of C. edulis.
Table 4. Genes with intron and their length of exons and introns in plastid genome of C. edulis.
Gene NameLocationExon I (bp)Intron I (bp)Exon II (bp)Intron II (bp)Exon III (bp)
rpoC1LSC1632817441
atpFLSC396699159
petBLSC6773642
petDLSC8784475
ndhBIR756687777
ndhASSC5401178573
rpl16LSC39911199
rpl2IR471648393
rps12LSC114 27546231
ycf3LSC153727228731126
clpPLSC23167629184969
trnK-UUULSC29249537
trnL-UAALSC3754050
trnV-UACLSC3766339
trnI-GAUIR4293935
trnA-UGCIR3880135
trnG-UCCLSC2376148
Table 5. Ten highest informative sites of coding genes in eight species.
Table 5. Ten highest informative sites of coding genes in eight species.
No.RegionLength (bp) 1Aligned Length (bp) 2Conserved SitesParsimony Informative 3Parsimony Informative % 4CI. 5RI 6SI 7
1matK15181575102826516.830.820.70.9
2ycf1564063273970106316.800.820.60.8
3ccsA96998768916016.210.840.70.9
4accD1509140124222716.200.830.70.8
5rps364866346710716.140.820.70.9
6ndhF22322331160636815.790.810.60.8
7rps84054112946415.570.80.70.9
8rpl223995513458214.880.830.60.7
9petL9696701414.580.90.80.9
10ndhD15031527111620713.560.820.70.9
1 Length: refers to sequence length in Catha edulis; 2 Aligned length: refers to the alignment of seven other species considered in the comparative analysis (see Materials and Methods); 3 Number of parsimony informative sites; 4 Percentage of parsimony informative sites; 5 CI: Consistency Index; 6 RI: Retention Index; 7 SI: Sequence Identity.

Share and Cite

MDPI and ACS Style

Gu, C.; Tembrock, L.R.; Zheng, S.; Wu, Z. The Complete Chloroplast Genome of Catha edulis: A Comparative Analysis of Genome Features with Related Species. Int. J. Mol. Sci. 2018, 19, 525. https://doi.org/10.3390/ijms19020525

AMA Style

Gu C, Tembrock LR, Zheng S, Wu Z. The Complete Chloroplast Genome of Catha edulis: A Comparative Analysis of Genome Features with Related Species. International Journal of Molecular Sciences. 2018; 19(2):525. https://doi.org/10.3390/ijms19020525

Chicago/Turabian Style

Gu, Cuihua, Luke R. Tembrock, Shaoyu Zheng, and Zhiqiang Wu. 2018. "The Complete Chloroplast Genome of Catha edulis: A Comparative Analysis of Genome Features with Related Species" International Journal of Molecular Sciences 19, no. 2: 525. https://doi.org/10.3390/ijms19020525

APA Style

Gu, C., Tembrock, L. R., Zheng, S., & Wu, Z. (2018). The Complete Chloroplast Genome of Catha edulis: A Comparative Analysis of Genome Features with Related Species. International Journal of Molecular Sciences, 19(2), 525. https://doi.org/10.3390/ijms19020525

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