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Article

Comparative Analysis of the Complete Chloroplast Genome of Four Known Ziziphus Species

by
Jian Huang
1,*,†,
Ruihong Chen
2,† and
Xingang Li
1,*
1
Forest Key Laboratory of Shaanxi Province, College of Forestry, Northwest A & F University, Yangling 712100, China
2
Shaanxi Province Key Laboratory of Jujube, College of Life Science, Yan’an University, Yan’an 716000, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Genes 2017, 8(12), 340; https://doi.org/10.3390/genes8120340
Submission received: 10 August 2017 / Revised: 14 November 2017 / Accepted: 23 November 2017 / Published: 24 November 2017
(This article belongs to the Special Issue Evolution and Biodiversity of the Plant Genome Architecture)
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Abstract

:
Ziziphus Mill. (Rhamnaceae) is comprised of about 170 species that are mainly distributed in tropical to subtropical regions, with few in the temperate zone. Several Ziziphus fruit tree species are important energy, nutrient, and medicinal resources for human populations, particularly for those living in rural regions. To date, limited genomic information is available for this genus. Here, we assembled the complete chloroplast genomes of four best known Ziziphus species, i.e., Ziziphus jujuba, Ziziphus acidojujuba, Ziziphus mauritiana, and Ziziphus spina-christi, based on the Illumina Paired-end sequencing method. The chloroplast genomes of the four Ziziphus species are all very similar to one another, and exhibit structural, gene content, and order characteristics that are similar to other flowering plants. The entire chloroplast genome encodes 113 predicted unique genes (85 protein-coding genes, 8 rRNA, and 37 tRNA), 17 of which are duplicated in the inverted repeat regions. Rich single sequence repeats loci (217) were detected in Z. jujuba and 106 SSR loci, composed of A/T, displayed polymorphism across the four species by comparative genomic analysis. We found only four genes under positive selection between Z. jujuba and Z. acidojujuba, and two genes for Z. mauritiana vs. Z. spina-christi, respectively, while half of the 78 protein-coding genes experienced positive selection between the two groups. Phylogenetic analyses revealed that Ziziphus (Rhamnaceae) was sister to Elaeagnaceae, and the four species of Ziziphus were clustered into two groups (Z. jujuba and Z. acidojujuba, Z. mauritiana and Z. spina-christi). Our results provide genomic resources for intrageneric classifications of Ziziphus, and valuable genetic markers for investigating the population genetics and biogeography of closely related Ziziphus species.

1. Introduction

Ziziphus (Mill.: Rhamnaceae) is comprised of about 170 species widely distributed in tropical and subtropical regions, including a few in the temperate zone [1,2]. Most species of Ziziphus are regionally distributed in developing countries and have received little attention. A few species of Ziziphus, particularly those growing in Asia, Africa, and South America, produce edible and multi-nutritional fruits, supplementing human diets and to farmers income [1]. For example, Chinese jujube (Ziziphus jujuba) has become the most widely planted Ziziphus fruit tree in the temperate zone. Z. jujuba and its progenitor, Ziziphus acidojujuba, native to the North China, were introduced to central Asia and Europe, including Iran, Israel, and Romania through the “Silk Road” trade thousands of years ago, and more recently to North America [2,3]. Ziziphus mauritiana, known as India jujube, is native to a wide tropical region from Vietnam, India to Sahel, and domesticated in India. India jujube has been introduced to Taiwan, South China, and North Africa [4,5]. Other well-known species, Ziziphus spina-christi (L.) Willd. known as Christ’s thorn, is common from Sudan and Ethiopia in Africa, to Lebanon, Syria, and Iran in the Middle East. It produces small fruits, and is widely used in folk medicine and as a source of food and energy for rural populations [6,7]. Although the whole genome of Z. jujuba has been sequenced [8,9], there is still little genomic information about other species in Ziziphus for intrageneric classifications.
Chloroplasts are semi-autonomous organelles in plant cells, and contain a circular chromosome ranging from 120 to 165 kb in length, which possess several chloroplast-specific genes involved in photosynthesis, carbon fixation, starch biosynthesis, etc. Chloroplast genome is uniparentally inherited, and its gene content, placing order, and base composition is exceptionally conserved between plant species. Therefore, the chloroplast genome has been considered as a desirable “barcoding” for phylogenetic studies in higher taxa. On the other hand, non-coding regions in chloroplast genome showed higher polymorphism than coding regions, and are frequently used to evaluate population genetic structure at intrageneric and intraspecies levels. Benefiting from significant advances in next generation sequencing technologies, increasing numbers of chloroplast genomes have been assembled. Sequencing and phylogenetic analysis on the complete chloroplast genome is a highly efficient and low-cost way for improving intrageneric classifications and population analyses.
Intrageneric classifications of Ziziphus is a thorny dilemma, due to the different views and limited genomic information relative to the large number of species in Ziziphus. Islam and Simmons (2006) [1] constructed the phylogenetic relationships of 19 species of Ziziphus based on nuclear (internal transcribed spacers (ITS) and 26S rDNA) and plastid (trnL-F) genes. In this study, we assembled the chloroplast genomes of the four best known Ziziphus species (Z. jujuba, Z. acidojujuba, Z. mauritiana, and Z. spina-christi) based on the Illumina Hiseq Platform, and detected chloroplast simple sequence repeat (SSR) loci for resolving population structure. In addition, we performed phylogenetic analyses on the four species and reconstructed the phylogenetic position of Ziziphus within the order Rosales. The chloroplast genomes and SSR markers described in this study will not only provide genomic resources for intrageneric classifications of Ziziphus, but also allow us to explore the population genetic structure and domestication events.

2. Materials and Methods

2.1. Samples

Young leaves of the four species were harvested with the intent of total DNA extraction. Z. jujuba “Junzao” and Z. acidojujuba “Qingjiansuanzao” were grown at the jujube experimental station of Northwest A & F University (37.1° N, 110.1° E), Qingjian, Shaanxi Province, China. Z. mauritiana “No.1 Gaolang” was grown at the Institute of Tropical Eco-Agriculture of the Agriculture Academy of Yunnan Province (25.7° N, 101.9° E), Yuanmou, Yunnan Province, China. Z. spina-christi fruits were collected from Khartoum, Sudan in August 2016. Sampling was performed according the Sudanese law about collection and exportation of biological material for scientific studies, and under the regulation of cooperation and exchange between Northwest A & F University in China and the University of Nyala in Sudan. Z. spina-christi seeds were sown and grown in the greenhouse of Northwest A & F University with controlled temperature conditions (28 ± 5 °C/20 ± 5 °C day/night). Young leaves were collected from one seedling (voucher number: SCNW-01) for DNA extraction.

2.2. Genome Sequencing

We performed high quality total DNA extraction using the DNeasy Plant miniKit (QIAGEN, Valencia, CA, USA). The purity of extracted DNA was evaluated based on the ratio of absorbance at 260 nm/280 nm and 260 nm/230 nm using a NanoDrop 1000 spectrophotometer (Thermo Scientific, Wilmington, DE, USA) and its concentration (28 ng/μL) was measured using a Qubit fluorometer (Invitrogen, Carlsbad, CA, USA). The degradation of DNA was checked by gel electrophoresis.
We constructed a paired-end sequencing library with insert sizes of 180 bp. For constructing libraries, 5 mg of DNA were sheared to fragments of 180–800 bp using a Covaris ultrasonic disruptor (Covaris, Woburn, MA, USA). Fragments were end-repaired, A-tailed, and ligated to Illumina paired-end adapters following standard protocols. Then, the DNA libraries were sequenced on Illumina HiSeq platforms, and the generated sequence reads were deposited in GenBank under accession numbers: SRX1506571 (Z. jujuba), SRX1526053 (Z. acidojujuba), SRX3373470 (Z. mauritiana) and SRX3380018 (Z. spina-christi).

2.3. Chloroplast Genome Assembly

The generated reads were first subjected to quality control and filtering using Illumina CASAVA 1.8.2. We first discarded the paired reads when either one read contains an adapter and a read length cut-off of 50%. The filtered reads with over 20% of their nucleotides having a Q score < 20 (probability of sequencing error > 0.01).
A combination of de novo and reference-guided assembly was used to perform jujube chloroplast genome assembly. Filtered reads were imported into Geneious R 10.1.3 (Biomatters Ltd., Auckland, New Zealand) and assembled according to [10,11]. Briefly, reads were firstly de novo assembled into contigs, and those contigs belonging to chloroplast genome were separated by alignment to the reference chloroplast genome of Pyrus pyrifolia (NC_015996). The aligned contigs were ordered according to their position in the reference genome. Thirdly, the assembled draft genomes were mapped again with obtained clean reads.
To verify the accuracy of sequence assembly, regions with ambiguous read mapping (i.e., conflicted reads mapped to the same genomic region) and low coverage were verified by PCR amplification and Sanger sequencing. We designed 81 primer sets (Supplementary Material Table S2) based on assembled sequence to amplify 77 non-coding sites and four junctions between single-copy region and inverted repeats. The chloroplast genomes of the other three Ziziphus species were assembled with reference to the assembled chloroplast genome of Z. jujuba, using the reference-guided assemblage strategy as described in [10]. Finally, the assembled four-chloroplast sequences were deposited in GenBank. The de novo assembly were performed on a computer equipped with two CPUs (Intel XeonE5-2600v2) and eight Kinston SIMMs (16G DDR3/1600 RECC), and the reference-guided assembly were performed on a MacBook Pro (CPU: 2.2 GHz Intel Core i7, memory: 16GB 1600MHz).

2.4. Genome Annotation

The assembled genome sequences were preliminarily annotated in Geneious. The exact start-and-stop codons of protein-coding genes and exon boundaries were verified by BLASTX against the GenBank/DDBJ/EMBL database. The tRNA genes were further confirmed through online tRNAscan-SE web servers [12]. The gene map of annotated jujube chloroplast genome was drawn by OGDraw v 1.2 online [13].

2.5. Identification of Repeat Sequences and Simple Sequence Repeats

Repeat sequences in chloroplast genomes were detected by REPuter online [14]. We included the three types: direct, reverse, and palindromic. The constraints were set to (i) minimum repeat size of 30 bp, and (ii) 90% or greater sequence identity, based on a Hamming distance of 3. Gap size between palindromic repeats was restricted to a maximal length of 3 kb. Overlapping repeats were merged into one repeat motif whenever possible. If multiple types of repeat were detected in the same region, only one repeat type was designated. The tandem repeat was determined to be prior to the dispersed repeat if one repeat motif could be identified as both tandem and dispersed. To avoid redundancy, one of the two inverted repeat (IR) regions was removed prior to identification of repeat motifs.
The SSRs were searched using WebSat software, with the following repeat threshold settings: 10 repeats for mono-nucleotide, 5 for di-, 4 for tri-nucleotide, 3 repeats for tetra- and penta-nucleotide SSRs [15].

2.6. Genome-Wide Sequence Variations and Gene Selective Pressure Analysis among Four Ziziphus Chloroplast Genomes

To investigate divergence in chloroplast genomes, the identity across whole chloroplast genomes were visualized using the mVISTA viewer among the four species, based on full alignments with annotations [16]. Variation, including single nucleotide polymorphisms (SNP) and indels, were detected using the “find variation” function in Geneious. The percentage of the variable sites was calculated for each region (coding regions and non-coding regions).
The evolutionary rate of the chloroplast genome sequence was quantified based on nonsynonymous (dN) and synonymous (dS) substitutions and their ratios (ω = dN/dS). dN and dS were computed according to the LWL85, LPB93, and LWLm methods [17,18,19] using PAML 4.7.1 [20], with the F3 × 4 codon-based substitution model. Only codons shared among all chloroplast genomes were compared. dN, dS, and ω were calculated for 78 protein-coding genes, respectively. Six pairwise alignments for each gene region were calculated.

2.7. Phylogenetic Analysis

Seventy-eight common protein-coding genes were extracted from the four Ziziphus species and 27 close taxa chloroplast genomes, including one species belonging to Vitaceae, 16 to Rosaceae, one to Ulmaceae, five to Moraceae, and one to Rhamnaceae for phylogenetic analysis (Supplementary Material Table S3). Amino acid sequences were aligned in MUSCLE [21], manually adjusted, and then constrained back to the nucleotide alignment. The phylogenetic analyses were performed on the nucleotide substitution matrix using three methods: maximum parsimony (MP), maximum likelihood (ML), and Bayesian inference (BI). ML analyses were performed in MEGA 6.0.6 [22], with a 10,000× bootstrap test. Although the good fitness model was inconstant among different genes, the General Time Reversible (GTR) incorporated with the Gamma distribution and invariant sites (G+I) with the lowest BIC scores (Bayesian Information Criterion) from the 24 models was considered to describe the substitution pattern for the combined protein-coding gene sequences (Supplementary Material Table S3). The gap/missing data in the aligned matrix data were deleted. The heuristic method was selected for searching the ML tree by topological rearrangements of an initial tree. MP was performed in PAUP 4.0 [23] with 1000 random addition replicates and tree bisection reconnection (TBR) branch swapping with “Multrees” option. We used a subtree-pruning-and-regrafting (SPR) algorithm to search for the optimal tree under the maximum likelihood (ML) and maximum parsimony (MP) criterion. BI was analyzed in MrBayes 3.1.1 [24] with a “GTR+G+I” model, two runs with four Markov chains with heating values of 0.01 (2 × 107 generations in total), sampled every 100 generations until convergence. The first 25% of burn-in trees were discarded, and remaining trees were used to construct a majority-rule consensus tree, while the frequency of inferred relationships was used to estimate posterior probabilities (PP).

3. Results

3.1. Genome Assembly and Validation

In total, 240,608,000 raw reads (125 bp) generated from paired-end sequencing were used for Z. jujuba assembly. By screening these paired-end reads through alignment with reference chloroplast genomes, 12,672,000 reads were mapped to the reference genome. After de novo and reference-guided assembly, the chloroplast genome of Z. jujuba with 161,215 bp was obtained. Four junction regions between IRs and SSC/LSC and intragenic regions were confirmed by PCR amplification and Sanger sequencing. The amplified sequences amounted to approximately 47,841 bp (29.6%). In addition, we compared these sequences directly to the assembled genomes and observed few nucleotide mismatches or indels. This result validated the accuracy of our genome sequencing and assembly. Therefore, the other three species were assembled by 117×, 225.9×, and 149.4× reads coverage for Z. acidojujuba, Z. mauritiana, and Z. spina-christi with reference to the chloroplast genome of Z. jujuba using the reference-guided strategy, respectively (Supplementary Material Table S1). The size of chloroplast genomes is over 160 Kb, Z. acidojujuba (161,211 bp) is close to Z. jujuba, while Z. mauritiana (161,543 bp) and Z. spina-christi (161,615 bp) showed similar size. These genome sequences were deposited into GenBank under accession numbers (KX266829, KX266830, KY628304, KY628405).

3.2. Genome Structure, Gene Content, and Features

The chloroplast genome of the four Ziziphus species exhibited a circular DNA molecule with a typical quadripartite structure. It consisted of two-inverted repeat regions (IRa and IRb) separated by large (LSC) and small (SSC) single-copy regions, respectively (Figure 1). After gene annotation, we found the four chloroplast genomes displayed synteny of gene order that harbored 113 unique genes including 85 protein-coding genes, 8 rRNA, and 37 tRNA, 17 of which were duplicated in the IR regions, 12 in SSC region and 84 in LSC region. Among these unique genes, 16 included single intron, two (ycf3, and clpP) have two introns (Table 1). One of trans-spliced rps12 exons is in the LSC region, and two reside in the IR regions separated by an intron. Coding regions accounted for 58.8% of the whole genome, and 41.2% are inter-genic spacers and introns. All four chloroplast genomes were AT-rich (~63.2%), and the ratio of A and T in Z. jujuba varied slightly among non-coding regions, protein-coding regions, tRNA, and rRNA, in which A+T contents were 66.60%, 61.03%, 57.94%, and 52.19%, respectively.

3.3. IR Expansion and Contraction

Chloroplast genome structure and the junction positions between LSC/IRs and SSC/IRs were well conserved between the four Ziziphus species. LSC, SSC, and IRs sections of the four chloroplast genomes were larger than those corresponding sections of reference species (Pyrus pyfifolia, Morus indica, and Arabidopsis thaliana), which contributed to the larger chloroplast genome of Ziziphus species (Figure 2). For Z. jujuba, the IRb/SSC border (position 115,410) was in the 3′ region of the ycf1, and created a ycf1 pseudogene in IRb with a length of 1132 bp. The IRb/LSC border (position 88,974) was located within the coding region of rps19. Correspondingly, a 3′-truncated rps19 pseudogene with a length of 107 bp was created by IRa/LSC border (position 161,215). In addition, a 150 bp length of the intergenic region existed between IRa/LSC border and trnH-GUG. The chloroplast genome of the four species of Ziziphus showed similar structure. In particular, the IR region of Z. mauritiana and Z. spina-christi have the same size (Figure 2). We selected two phylogenetically close species (P. pyfifolia and M. indica) and the model species (A. thaliana) as references to compare the chloroplast genome structure. Only the LSC/IRb junction of M. indica located in rps19, as well as the 3′ truncated rps19, disappeared in the border of IRa/LSC. IRb contracted from ndhF in Ziziphus while it expanded into ndhF in other three species.

3.4. Repetitive Sequences

A total of 27 and 28 repeats were detected in Z. jujuba and Z. acidojujuba, respectively, and 26 loci were common to both species. On the other hand, 27 and 25 repeats were identified in Z. mauritiana and Z. spina-christi, respectively, and 24 were common to both species (Supplementary Material Table S4). However, 14 loci of repeats were shared in Z. jujuba/Z. acidojujuba and Z. mauritiana/Z. spina-christi. This pattern displayed the distribution of repeats that is rather conserved in the two groups. The size of repeat was in the range of 30–40 bp. Forward repeats are the most common type and accounted for 66.7%, 67.9%, 65.4%, and 66.7% of total repeats in Z. jujuba, Z. acidojujuba, Z. mauritiana, and Z. spina-christi, respectively. Almost all repeats are distributed in non-coding regions, only two repeats were found in two genes (psaB and ycf2) in Z. jujuba and Z. acidojujuba, and an additional two repeats are present in accD of Z. mauritiana and Z. spina-christi.

3.5. Single Sequence Repeat Polymorphism

We identified 217 SSR loci across the four species, and found almost all SSR were located at the same locus in the four Ziziphus species (Supplementary Material Table S5). Four sections of the chloroplast genome (LSC, SSC, IRs) contained 163 SSR loci, 34 SSR loci, and 20 (10 × 2) SSR loci, respectively. Among those SSR loci, 159 (73.95%) distributed in 75 of 133 (56.39%) intergeneric regions, 30 (13.95%) in the coding regions, and 26 (12.09%) in introns. We found 39 intergeneric regions contained greater than one SSR locus and 16 intergeneric regions contained approximately four to six SSR loci. For example, ndhF-rpl32 and trnS-GCU-trnG-GCC contained six SSR loci. In addition, clpP intron contained 11 SSR loci, and ycf1 exon contained 11 SSR loci. In general, T/A were the major motif types of SSR loci, 91, 77, and 12 SSRs were mononucleotide stretches of T, A, and AT in Z. jujuba, respectively (Figure 3). Among these, 106 SSR loci showed polymorphisms that were mainly contributed from the variation (74 loci) between two groups (Z. mauritiana/Z. spina-christi vs. Z. jujuba/Z. acidojujuba). In addition, 10 SSR loci only occurred in Z. mauritiana and Z. spina-christi, 21 loci specially presented in Z. jujuba and Z. acidojujuba, one locus, only, occurred in Z. jujuba.

3.6. Global Sequence Variation across Chloroplast Genomes

Based on the global identity of the chloroplast genome, Z. acidojujuba vs. Z. jujuba (99.6%), Z. mauritiana vs. Z. spina-christi (99.9%) are more similar while the identities were 97.3–97.5% between the two group members. mVISTA plotting also demonstrated this pattern among the four species. The marked differences were mainly found in LSC and SSC region between the two groups, while the IRs are more conserved than single-copy regions (Supplementary Material Figure S1). In total, 1940 variable sites, including 442 indels, 610 transitions, 792 transversions, and 96 substitutions, were detected across the four chloroplast genomes. Only 322 variants were detected between Z. mauritiana and Z. spina-christi, while 1306 variants were found between Z. jujuba and Z. acidojujuba. There were 11 indels with more than 30 bp, among which the largest indels reached 170 bp in the intergenic region between accD and psaI. In addition, we found three other large indels with the length of 107 bp, 71 bp, and 21 bp in the same region. In contrast, coding regions (0–22.22% variability, mean value: 2.60%) are more conserved than non-coding regions (0–5.00%, mean value: 0.45%; Figure 4). The highest variable coding regions was infA (5.00%), followed by ycf1 (2.15%), psbI (1.80%), psaI (1.75%), and rps16 (1.63%). The most divergent non-coding regions were ndhK–ndhC (22.22%), ycf1–ndhF (13.70%), ccsA–ndhD (11.11%), and rpl2–trnH–GUG (10.00%). No variation was observed in 52 coding regions and 20 non-coding regions between the four species. (Supplementary Material Table S6).

3.7. Evolutionary Rates

We found very low values dN and dS from Z. jujuba vs. Z. acidojujuba and Z. mauritiana vs. Z. spina-christi, and only four genes (ycf1, rpoA, ccsA, and atpI) and two genes (ycf1 and ndhK) have ω values. Particularly, ycf1 and ccsA have very high values 2.6 and 1.5, though dN and dS were fewer than 0.01 (Supplementary Material Table S7). In contrast, 39 protein-coding genes had ω values from 152 pairwise comparisons, which were generated between Z. jujuba/Z. acidojujuba and Z. mauritiana/Z. spina-christi. Those genes covered all the functional types, such as photosynthetic system, ribosomal proteins, NADH dehydrogenase, ycf etc. Among which, the ω value of two genes (rpl16 and rps12) exceeded 1.0 in four species. Eight genes had ω values in the range from 0.5 to 1.0, i.e., ycf3, rpl22, clp, ycf1, accD, rpl20, ycf4, and psbK.

3.8. Phylogenetic Analysis Based on the Protein-Coding Genes

All three phylogenetic methods resulted in one fully resolved and congruent topology of the 31 taxa tree (Figure 5). ML analysis under the GTR+G+I model resulted in a tree with Maximum Likelihood value (lnL) = −171,890.05, BIC (344,765.8) and Akaike Information Criterion (AIC) 343,918.11. All clades at the family level were strongly supported by all methods with BI and ML support generally higher than for MP. Twenty-one of the 29 nodes were completely supported by 100% bootstrap and one PP support values, and seven additional nodes had >55% BS in MP tree. The tree was generally divided to two large groups, Rosaceae and four other families. Four species of Ziziphus initially clustered with a Berchemiella species belonging to Rhamnaceae, and then grouped with Elaeagnaceae, Ulmaceae and Moraceae in order. Ziziphus species were divided into two groups: Z. jujuba and Z. acidojujuba, Z. mauritiana, and Z. spina-christi.

4. Discussion

We assembled the chloroplast genomes of four known species of Ziziphus (Z. jujuba, Z. acidojujuba, Z. mauritiana, and Z. spina-christi). The Ziziphus chloroplast genome contained 113 unique genes. This gene number and content of Ziziphus chloroplast genome are in the range of most of the angiosperm plastid genomes [25]. Based on sequence similarity, genome structure, gene content, and phylogenetic analysis, the four species can be clearly separated into two groups: e.g., Z. jujuba and Z. acidojujuba, Z. mauritiana and Z. spina-christi. Islam and Simmons (2006) [1] found that Z. jujuba and Z. acidojujuba, and Z. mauritiana and Z. spina-christi, clustered together based on three genes, i.e., nuclear (ITS and 26S rDNA) and plastid (trnL-F) genes. This classification was obviously related with geographical distance of their native ranges. Both Z. jujuba and Z. acidojujuba were deciduous species, traditionally co-distributed in the mid and lower reaches of the Yellow River. Additionally, Z. jujuba was domesticated from Z. acidojujuba, which would contribute to their close phylogenetic relationship [9]. On the other hand, Z. mauritiana and Z. spina-christi are evergreen species, and native to tropical and subtropical regions, and overlap in their geographical distribution. Z. mauritiana is widely distributed, from South Asia to North Africa, and Z. spina-christi occurs from north Africa to Iran. Like the relationship between Z. jujuba and Z. acidojujuba, they showed high similarity in their chloroplast genome sequences. This pattern also proved the close relationship between Z. mauritiana and Z. spina-christi. It was additionally reflected by the success of interspecific crossing among Z. mauritiana, Z. spina-christi, and Z. jujuba. Asatryan and Tel-Zur (2013) [26] found a higher total percent of fruit set in Z. mauritiana × Z. spina-christi crosses, while only a few fruits were obtained from the Z. jujuba × Z. spina-christi, and Z. mauritiana × Z. jujuba crosses.
Chloroplast SSR markers are potentially useful genetic resources to investigate population genetics and biogeography of closely related taxa. In this study, comparative analysis of the four chloroplast genomes revealed 217 SSR loci, almost all of which occurred in the same loci. There are often fewer than 100 SSR loci as reported in many other species, such as 67 in P. pyrifolia, and 63–71 SSRs in Cardiocrinum [27,28]. This difference was primarily ascribed to different statistic methods. Many non-coding regions contained more than one SSR locus, each of which was treated as one locus, resulting in more loci in this study than some other species from previous reports. In addition, most loci (106 SSR loci) displayed polymorphisms across the four species that were mainly attributable to the difference (74 loci) between two groups (Z. mauritiana/Z. spina-christi vs. Z. jujuba/Z. acidojujuba). This pattern demonstrated the strength of the SSR marker for resolving genetic relationships between the closely related taxa. In a previous study, we demonstrated the population structure of Z. jujuba and Z. acidojujuba based on six chloroplast SSR markers and demonstrated the domestication pathway of Z. jujuba [29]. Therefore, those polymorphic SSR loci provide valuable genetic resource for investigating the population genetics and biogeography of closely related Ziziphus species.
Although the chloroplast genomes of higher plants are highly conserved, sequence variation in the non-coding region was generally higher than the coding region and each locus (gene/intergeneric region) showed different variations (Figure 4). Highly divergent regions were often regarded as “hotspots” and used as genetic markers for population genetic or phylogenetic studies. In this study, we found ycf1 was the largest gene in Ziziphus chloroplast genome, and harbored the highest divergence (2.15%). The ycf1 gene has also been shown to be phylogenetically useful among Orchidaceae [30], Solanum [31], and Magnoliidae [32]. Wang et al. [33] also suggested that ycf1 deserved consideration in phylogenetic analyses in angiosperms by comparing 78 protein-coding genes with ycf1 alone, especially for reconstructing the phylogeny of Rosaceae with higher node supports. Thus, ycf1 might be used as a valuable gene marker for Ziziphus. On the other hand, we found these highly divergent regions varied across taxa. For example, we found rps19 had the highest proportion of variability in genic regions of Cardiocrinum [28] and Camellia [34]. This pattern indicated their independent/distinct evolutionary patterns for different genes in different clades.
Our analysis revealed few genes were under positive pressure in two groups, i.e., Z. jujuba vs. Z. acidojujuba, and Z. mauritiana vs. Z. spina-christi, respectively. Previous studies have clarified that Z. jujuba was domesticated from Z. acidojujuba, accompanied with a transition from bushes to trees and enlarged fruit sizes [9,29]. In addition, Z. mauritiana and Z. spina-christi have overlapping geographical distributions and similar biological features. In contrast, half of those protein-coding genes were under positive selection between the two groups, i.e., Z. jujuba/Z.acidojujuba and Z. mauritiana/Z. spina-christi, which might be ascribed to the shift of habitat from temperate zone to tropic. For instance, clp was under positive selection, with ω of 0.8. Zheng et al. (2002) [35] revealed clp proteins are primarily constitutive proteins of chloroplast stroma, and were involved in plant acclimation to different physiological conditions. In addition, accD have a ω of 0.7. Kode et al. [36] provided a direct evidence that the accD gene could affect plant fitness and is required for leaf development. Thus, the leaves of Z. mauritiana/Z. spina-christi are obviously enlarged compared to Z. jujuba/Z. acidojujuba might be linked to the selection effect on this gene. As expected, ycf1 gene have a high ω value from 0.68 to 2.63 between the four species. Because ycf1 had been classified as the most divergent coding sequence in plastome of vascular plants, and therefore, contributed to fast evolution [37]. Taken together, our results revealed that genes were undergone selection might be involved in the adaptation to the shift of environment condition during the evolution between Z. jujuba/Z.acidojujuba and Z. mauritiana/Z. spina-christi, and provide valuable genetic resource for investigating the population genetics and biogeography of closely related Ziziphus species.

Supplementary Materials

The following are available online at www.mdpi.com/2073-4425/8/12/340/s1. Table S1 Chloroplast genome assembly, size and features, Table S2 PCR primer sets for chloroplast genome sequence validation, Table S3 Species and gene lists used for phylogenetic analyses, Table S4 Repeats (≥30 bp) identified in four Ziziphus species, Table S5 SSR position in Ziziphus chloroplast genome, Table S6 Percentage of variation sites in each region, Table S7 Nonsynonymous substitution (dN), Synonymous substitution (dS), and dN/dS (ω) values for individual genes or gene groups (ω(dN, dS), Figure S1 Sequence identity plots among the four Ziziphus chloroplast genomes viewed by mVISTA, with Z. acidojujuba as the reference. Annotated genes are displayed along the top. The vertical scale represents the percent identity between 50 and 100%. Genome regions are color coded as exon, intron, and conserved non-coding sequences.

Acknowledgments

Doctoral research was funded from Yan’an University for Ruihong Chen, the grants from the Ministry of Science and Technology of the People’s Republic of China (2013BAD20B03), and the Special fund for developing Ziziphus DUS test guideline from the State Forestry Administration, China (2016-05). We thank Haigang Liu from the institute of tropical eco-agriculture, the agriculture academy of Yunnan Province, China for his help on material collection of Z. mauritiana, and Almutamad M.A. Skeikho from the University of Nyala in Sudan for his help on fruit collection of Z. spina-christi in Sudan.

Author Contributions

J.H. and X.L. conceived the ideas; J.H. and R.C. performed the experiment and analyzed the data. The manuscript was written by J.H. and R.C.

Conflicts of Interest

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

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Genes 08 00340 g001 550
Figure 1. Chloroplast genome assembly, size and features of four Ziziphus species. Genes lying outside of the outer layer circle are transcribed in the counter clockwise direction, whereas genes inside are transcribed in the clockwise direction. The colored bars indicate different functional groups. The darker gray area in the inner circle denotes GC content while the lighter gray corresponds to AT content of the genome. LSC: large single copy, SSC: small-single-copy, IR: inverted repeat.
Figure 1. Chloroplast genome assembly, size and features of four Ziziphus species. Genes lying outside of the outer layer circle are transcribed in the counter clockwise direction, whereas genes inside are transcribed in the clockwise direction. The colored bars indicate different functional groups. The darker gray area in the inner circle denotes GC content while the lighter gray corresponds to AT content of the genome. LSC: large single copy, SSC: small-single-copy, IR: inverted repeat.
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Figure 2. Comparisons of LSC, SSC, and IR border regions among the four Ziziphus chloroplast genomes.
Figure 2. Comparisons of LSC, SSC, and IR border regions among the four Ziziphus chloroplast genomes.
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Figure 3. Frequency of different simple sequence repeat (SSR) types in the chloroplast genome of Z. jujuba.
Figure 3. Frequency of different simple sequence repeat (SSR) types in the chloroplast genome of Z. jujuba.
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Figure 4. Nucleotide variability (%) values compared among four Ziziphus species. (A) non-coding regions; (B) coding regions.
Figure 4. Nucleotide variability (%) values compared among four Ziziphus species. (A) non-coding regions; (B) coding regions.
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Figure 5. Phylogenetic tree reconstruction of the 31 species inferred from maximum likelihood (ML), maximum parsimony (MP) and Bayesian inference (BI), based on 78 protein-coding genes using a non-partitioning scheme. Numbers above the lines represent: ML/MP bootstrap values/BI posterior probability.
Figure 5. Phylogenetic tree reconstruction of the 31 species inferred from maximum likelihood (ML), maximum parsimony (MP) and Bayesian inference (BI), based on 78 protein-coding genes using a non-partitioning scheme. Numbers above the lines represent: ML/MP bootstrap values/BI posterior probability.
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Table
Table 1. List of genes encoded by four species of Ziziphus chloroplast genome.
Table 1. List of genes encoded by four species of Ziziphus chloroplast genome.
CategoryGroupGenes
Self-replicationLarge subunit of ribosome (LSU)rpl2(×2)*, rpl14, rpl16*, rpl20, rpl22, rpl23(×2), rpl32, rpl33, rpl36
Small subunit of ribosome (SSU)rps2, rps3, rps4, rps7(×2), rps8, rps11, rps12*(×2, part), rps14, rps15, rps16*, rps18, rps19
DNA dependent RNA polymeraserpoA, rpoB, rpoC1*, rpoC2
Ribosomal RNArrn4.5(×2), rrn5(×2), rrn16(×2), rrn23(×2)
Transfer RNAs (tRNA)trnA-UGC(×2)*, trnC-GCA, trnD-GUC, trnE-UUC, trnF-GAA, trnG-GCC*, trnG-UCC, trnH-GUG, trnI-CAU(×2), trnI-GAU(×2)*, trnK-UUU*, trnL-CAA(×2), trnL-UAA*, trnL-UAG, trnM-CAU, trnfM-CAU, trnN-GUU(×2), trnP-UGG, trnQ-UUG, trnR-ACG(×2), trnR-UCU, trnS-GCU, trnS-UGA, trnS-GGA, trnT-UGU, trnT-GGU, trnV-GAC(×2), trnV-UAC*, trnW-CCA, trnY-GUA
PhotosynthesisPhotosystem IpsaA, psaB, psaC, psaI, psaJ, ycf3**, ycf4
Photosystem IIpsbA, psbB, psbC, psbD, psbE, psbF, psbH, psbI, psbJ, psbK, psbL, psbM, psbN, psbZ, psbT
NADH dehydrogenasendhA*, ndhB(×2)*, ndhC, ndhD, ndhE, ndhF, ndhG, ndhH, ndhI, ndhJ, ndhK
Cytochrome b/f complexpetA, petB*, petD*, petG, petL, petN
Subunits of ATP synthaseatpA, atpB, atpE, atpF*, atpH, atpI,
Large subunit of rubiscorbcL
Other genesTranslational initiation factorinfA
ATP-dependent protease subunit p geneclpP**
MaturasematK
Envelop membrane proteincemA
Unknown functionSubunit of acetyl-CoA-carboxylaseaccD
c-type cytochrome synthesis geneccsA
Hypothetical chloroplast reading framesycf1(×2), ycf2(×2)
(×2) following gene indicate 2 copies; One and two asterisks indicate one- and two-intron containing genes, respectively.

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Huang, J.; Chen, R.; Li, X. Comparative Analysis of the Complete Chloroplast Genome of Four Known Ziziphus Species. Genes 2017, 8, 340. https://doi.org/10.3390/genes8120340

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Huang J, Chen R, Li X. Comparative Analysis of the Complete Chloroplast Genome of Four Known Ziziphus Species. Genes. 2017; 8(12):340. https://doi.org/10.3390/genes8120340

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Huang, Jian, Ruihong Chen, and Xingang Li. 2017. "Comparative Analysis of the Complete Chloroplast Genome of Four Known Ziziphus Species" Genes 8, no. 12: 340. https://doi.org/10.3390/genes8120340

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