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. 2019 Sep 13;20(18):4534. doi: 10.3390/ijms20184534

Chloroplast Genomes and Comparative Analyses among Thirteen Taxa within Myrsinaceae s.str. Clade (Myrsinoideae, Primulaceae)

Xiaokai Yan 1, Tongjian Liu 2, Xun Yuan 1, Yuan Xu 2, Haifei Yan 2,3,*, Gang Hao 1,*
PMCID: PMC6769889  PMID: 31540236

Abstract

The Myrsinaceae s.str. clade is a tropical woody representative in Myrsinoideae of Primulaceae and has ca. 1300 species. The generic limits and alignments of this clade are unclear due to the limited number of genetic markers and/or taxon samplings in previous studies. Here, the chloroplast (cp) genomes of 13 taxa within the Myrsinaceae s.str. clade are sequenced and characterized. These cp genomes are typical quadripartite circle molecules and are highly conserved in size and gene content. Three pseudogenes are identified, of which ycf15 is totally absent from five taxa. Noncoding and large single copy region (LSC) exhibit higher levels of nucleotide diversity (Pi) than other regions. A total of ten hotspot fragments and 796 chloroplast simple sequence repeats (SSR) loci are found across all cp genomes. The results of phylogenetic analysis support the notion that the monophyletic Myrsinaceae s.str. clade has two subclades. Non-synonymous substitution rates (dN) are higher in housekeeping (HK) genes than photosynthetic (PS) genes, but both groups have a nearly identical synonymous substitution rate (dS). The results indicate that the PS genes are under stronger functional constraints compared with the HK genes. Overall, the study provides hypervariable molecular markers for phylogenetic reconstruction and contributes to a better understanding of plastid gene evolution in Myrsinaceae s.str. clade.

Keywords: Myrsinoideae, plastome, hypervariable regions, phylogeny, substitution rate

1. Introduction

According to the present circumscription, Primulaceae s.l. comprises Primuloideae, Myrsinoideae, Theophrastoideae, and Maesoideae [1,2]. In Myrsinoideae, there are ca. 1500 species in 49 genera [3], and previous molecular phylogenetic studies classified these species into five clades: Myrsinaceae s.str. (includes Aegiceras Gaertn. but not Maesa Forssk.), tribe Lysimachieae, Cyclamen L., Ardisiandra Hook. f., and Coris L. [3,4]. Most temperate genera in the Myrsinoideae subfamily are perennial herbs, whereas the woody genera are mainly tropical [3]. The Myrsinaceae s.str. clade is a tropical woody representative in Myrsinoideae—which contains only a few herbaceous taxa, such as several species in Labisia Lindl. and Ardisia subg. Bladhia (Thunb.) Mez—and shows high species diversity (ca. 1300 species).

In contrast to the well-studied herbaceous clade (such as Lysimachieae [5,6,7,8] or Cyclamen [9]), the generic limits and alignments in the woody clade (i.e., Myrsinaceae s.str. clade) are rather unclear [3,10]. The phylogenetic uncertainties within the woody clade are most likely due to the limited number of genetic markers and/or insufficient taxon sampling. To date, only eleven genera within the woody clade (which contains 39 genera in total [3]) have been sparsely sampled, and very few plastid molecular markers (such as rbcL, trnL-F, accD, rpoB, matK, and psbA-trnH) and nuclear ribosomal DNA (Internal transcribed spacer region of nuclear ribosomal DNA, ITS) were employed by previous studies [9,10,11]. Thus, it is necessary to strengthen the genomic basis of this clade for phylogenetic analyses and biodiversity inventory.

Chloroplast (cp) markers such as rbcL, matK, and trnL-trnF have been widely used in phylogenetic studies [12,13] as well as the phylogeography [14,15] and the identification of plant species [16,17] owing to their high copy numbers within a cell, uniparental inheritance feature, and moderate evolutionary rate. However, the limited number of chloroplast markers has prevented us from resolving the phylogenetic relationships among closely related taxa and plant groups that have undergone rapid radiations [18,19].

Compared with traditional cp markers, complete cp genome sequences can improve phylogenetic resolution and have been successfully used to infer phylogenetic relationships among taxa [12,20,21,22]. Cp genome is also an ideal candidate for high-throughput sequencing and assembly due to its small size, conserved sequence and structure, and high cellular copy number [23]. Therefore, the number of complete cp genomes has rocketed in the recent years with the advancement of high-throughput DNA sequencing technologies [24].

Until now, only two cp genomes (Ardisia polysticta Miq. and Ardisia crenata Sims) of the Myrsinaceae s.str. clade were available within GenBank. The evolutionary patterns of the cp genomes within this clade are yet to be uncovered. Therefore, this study aims to (1) sequence, assemble, and characterize the cp genomes of the 13 woody taxa within clade Myrsinaceae s.str., and (2) probe into the evolutionary patterns of the cp genomes within this clade by estimating substitution rates of protein-coding genes.

2. Results and Discussion

2.1. Chloroplast Genomes Features

The cp genome sizes of the 13 taxa range from 154,616 bp (Tapeinosperma netor Guillaumin) to 157,241 bp [Aegiceras corniculatum (L.) Blanco) (Figure 1; Table 1]. All cp genomes are typical quadripartite circle molecules consisting of a pair of inverted repeat regions (IRs) ranging from 26,196 bp [Ardisia solanacea (Poir.) Roxb.] to 25,538 bp [Tapeinosperma multiflorum (Gillespie) A.C. Sm.] separated by a large single copy region (LSC) ranging from 87,057 bp (Ae. corniculatum) to 85,683 bp (T. netor) and a small single copy region (SSC) varying from 18,440 bp (Parathesis donnell-smithii Mez) to 17,679 bp (T. netor). Boundaries of the LSC, the IR, and the SSC regions are shown in Figure 2. The rps19 and the ycf1 genes both reside at the boundary of the IR and the SC regions. Their truncated copies are found in each of the IR regions (Figure 2). Total GC content ranges from 36.9% [in Ae. coriniculatum, Embelia vestita Roxb., and Myrsine stolonifera (Koidz.) E. Walker] to 37.1% (in Ar. solanacea and T. netor) (Table 1). The GC content of the IR regions—varying from 42.9% (in Ae. coriniculatum, Em. vestita, Myrsine sandwicensis A. DC.) to 43.2% (Ar. solanacea)—is higher than that of the LSC (about 34.8%) and the SSC (about 30.2%) regions (Table S1).

Figure 1.

Figure 1

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Map of the chloroplast genomes of Myrsinoideae species. Genes on the outer circle are transcribed in the counterclockwise direction, and those on the inner circle are transcribed in the clockwise direction. Bars of different colors indicate different functional groups.

Table 1.

Details on samples, vouchers, GenBank accessions, and features of the chloroplast genomes within the Myrsinaceae s.str. clade.

Taxon Voucher No./Herbarium Code GenBank Accession Size (bp) GC Content Gene No. Protein Coding Gene tRNA rRNA
Aegiceras comiculatum Liu150016/IBSC MN167882 157,241 36.9% 114 80 30 4
Ardisia solanacea 17988*/K MN094783 156,518 37.1% 114 80 30 4
Ardisia polysticta No data KC465962 156,506 37.1% 113 80 29 4
Aridisa crenata Yxk160038/IBSC KM719568 156,876 37.1% 113 80 30 4
Elingamita johnsonii 958*/K MN094784 156,180 37.0% 113 79 30 4
Embelia vestita Liu150050/IBSC MN167884 157,238 36.9% 114 80 30 4
Myrsine africana 30087*/K MN165129 156,433 37.0% 114 80 30 4
Myrsine sandwicensis 38322*/HAW MN177700 156,284 37.0% 114 80 30 4
Myrsine stolonifera Liu150044/IBSC MN167883 156,953 36.9% 114 80 30 4
Parathesis chiapensis Alush Nendes 6574/ARIZ MN177699 156,666 37.0% 113 79 30 4
Parathesis donnell-smithii Alvaro Campos 3924/ARIZ MN177698 156,344 37.0% 113 79 30 4
Tapeinosperma multiflorum 9361/MO MN177701 155,168 37.0% 113 79 30 4
Tapeinosperma netor 33984*/K MN177702 154,616 37.1% 113 79 30 4
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Note: * indicates the DNA identification (ID) number of the Royal Botanic Gardens Kew DNA Bank.

Figure 2.

Figure 2

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Comparisons of the boundaries between large single-copy (LSC), small single-copy (SSC), and inverted repeat (IR) regions among different Myrsinoideae cp genomes.

A total of 113–114 genes are identified from all thirteen cp genomes, among which 79–80 are protein-coding genes, 30 are tRNA genes, and four are rRNA genes. Five to six of the protein-coding genes, seven of the tRNA genes, and all four rRNA genes in the IR regions are duplicate genes. Sixteen genes (i.e., atpF, ndhA, ndhB, petB, petD, rpl16, rpl2, rpoC1, rps12, rps16, trnAUGC, trnCACA, trnEUUC, trnKUUU, trnLUAA, and trnSCGA) contain a single intron, and two genes (clpP and ycf3) have two introns. Cp genome features of the woody taxa of Primulaceae are comparable to those of their herbal counterparts, namely, Lysimachia [25] and Primula [26].

Gene loss or pseudogenization of protein-coding genes in plastomes are common in angiosperms [27,28]. In the present study, three genes (infA, accD, and ycf15) are inferred to be pseudogenes in some taxa within clade Myrsinaceae s.str. (Table S1), which reoccurs in many plant lineages [28]. In Primulaceae, accD and infA pseudogenization has been reported in Primula species [26]. Moreover, accD is completely absent from three Primula taxa—Primula kwangtungensis W.W.Sm., Primula persimilis G. Hao, C.M. Hu & Y. Xu, and Primula sinensis Sabine ex Lindl. [26,29]. In seed plants, the accD and the infA genes transfer from the chloroplast to the nucleus genome [27], which is likely associated with their pseudogenization under relaxed purifying selection in plastome.

The ycf15 gene, which displays a small open reading frame (ORF) in tobacco, has been pseudogenized in several angiosperm lineages (e.g., [30,31,32,33]). Some studies assumed that the ycf15 may have originated from a non-functional intergenic sequence [30,33]. We find that ycf15 is absent from five taxa, namely, Elingamita johnsonii G.T.S.Baylis, T. multiflorum, T. netor, Pa. donnell-smithii and Parathesis chiapensis Fernald, and has pseudogenized in the remaining taxa (Table S1). Based on the phylogenetic distribution of ycf15, we speculate that it may have lost several times in clade Myrsinaceae s.str. (Figure 3). To our knowledge, this is the first report of ycf15 gene loss in Primulaceae [25,26], though its underlying mechanisms remain unknown.

Figure 3.

Figure 3

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Maximum likelihood (ML) phylogenetic tree of Myrsinoideae based on 78 protein-coding genes. Numbers on the branches are bootstrap values. Species in the Myrsinaceae s.str. clade is indicated by yellow.

2.2. Hypervariable Regions and CpSSRs

The sequence identities of 13 cp genomes of the Myrsinaceae s.str. clade are plotted using mVISTA (Figure S1), which shows that these genomes are relatively conserved. Noncoding (intergenic spacers and introns) sequences and the LSC regions often exhibit higher nucleotide substitution rates than other regions in plastome [27]. In this study, a total of ten highly variable regions with Pi > 0.03 (i.e., trnKUUU-rps16, rps16-trnQUUG, trnSCGA intron, petN-psbM, accD, rpl22-rps19, ndhF-rpl32, rpl32-trnLUAG, ccsA-ndhD, and ycf1) are identified, among which the two most variable regions are petN-psbM (0.0457) and trnKUUU-rps16 (0.0414). As shown by Jansen and Ruhlman [27], all ten mutation hotspots are located in the SC regions, six of which are in the LSC region. In addition, the introns with Pi > 0.03 all reside in the LSC region.

The Pi values of the protein-coding genes vary from 0.0007 to 0.0375. Only two genes, accD and ycf1, exhibit high Pi values (>0.03). As in many other angiosperms lineages, ycf1 (5043–5610 bp in length) has two main divergence hotspots in clade Myrsinaceae s.str. (Figure 4) [34]. As a pseudogene in clade Myrsinaceae s.str., the relatively high nucleotide diversity of accD is presumably a result of relaxed selective pressure or the effects of Muller’s ratchet [35,36].

Figure 4.

Figure 4

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Nucleotide diversity (Pi) values across all Myrsinaceae s.str. cp genomes detected by sliding windows. X-axis, nucleotide positions in the cp genomes; Y-axis, nucleotide diversity (Pi) values. LSC: large single copy region; SSC: small single copy region; IR: inverted repeat region.

When compared with the results of Shaw et al. [37], the three hypervariable regions (rps16-trnQUUG, ndhF-rpl32, and rpl32-trnLUAG) identified here are among the highest-ranking variable regions in all 25 lineages of angiosperms. In addition, rbcL, trnL-F, accD, rpoB, matK, and psb-trnH were previously employed in the phylogenetic analyses of Myrsinoideae [9,10,11]. The highest Pi value is 0.0198 for rbcL, 0.0201 for trnL-F, 0.0346 for accD, 0.0163 for rpoB, 0.0239 for matK, and 0.0244 for psbA-trnH. Only accD is among the top ten variable regions for the Myrsinaceae s.str. clade in our study. Overall, these high variable cp regions detected here can be employed for constructing the phylogeny and the phylogeographic inferences of Myrsinoideae by future studies.

Simple sequence repeats (SSR) are useful markers for population genetic studies [38]. Chloroplast SSR markers (cpSSRs) have emerged as excellent tools in population genetics owing to their unique non-recombination and uniparental inheritance characteristics [39]. A total of 796 SSR loci with six types (i.e., mono-, di-, tri-, tetra-, penta-, and hexa-nucleotides) are identified in the 13 Myrsinaceae s.str. cp genomes. These cpSSRs are mainly located in the LSC region (74.37%), followed by the SSC (20.73%) and the IR (2.51%) regions (Figure 5). Among all cpSSRs identified in this study, most are mono-nucleotide repeats (77.26%), followed by tetr-nucleotide repeats (9.80%) and di-nucleotide repeats (8.80%) (Figure 5). Other types, namely, tri-nucleotide, penta-nucleotide, and hexa-nucleotide repeats, account for 2.64%, 1.26%, and 0.25% of all cpSSRs, respectively. In addition, seven cpSSR loci are shared across all 13 species in the Myrsinaceae s.str. clade (Table S2).

Figure 5.

Figure 5

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The type and the distribution of chloroplast simple sequence repeats (cpSSRs) across all Myrsinaceae s.str. cp genomes. (A) The number of cpSSRs identified in different species. (B) cpSSR distribution in different species.

2.3. Phylogenetic Relationships

Clade Myrsinaceae s.str. contains ca. 39 genera and 1300 species and is the largest group of Primulaceae [3]. However, the generic limits and alignments of the Myrsinaceae s.str. clade are still unclear. In this study, phylogenetic analysis was performed based on 78 protein-coding genes (PCGs) in Myrsinoideae cp genomes using Lysimachia coreana Nakai, Pr. sinensis, and Maesa montana A. DC. as outgroups (Figure 3). Our phylogenetic results support the notion that clade Myrsinaceae s.str. is monophyletic and consists of two subclades. All Myrsine taxa and Ae. corniculatum cluster into the first subclade, and the remaining genera including Ardisia, Tapeinosperma, Parathesis, Elingamita and Embelia fall into the other clade (Figure 3). Almost all branches of the phylogenetic tree are strongly supported, as indicated by Figure 3. In addition, our results reveal that Aegiceras is closer to Myrsine but not to Ardisia and its allies (see [9]).

2.4. Substitution Rates and Their Variations among Genes

Substitution rates often vary considerably among genes in the cp genome [40]. Previous studies have reported a higher synonymous substitution rate (dS) than non-synonymous substitution rate (dN) due to natural selection [41]. Similarly, we find that the average dN values of the cp genes vary from 0.0013 to 0.1143 with a mean value of 0.0305, and the average dS values range from 0.0156 to 0.3445 with a mean value of 0.1096. In addition, the dN and the dS of each gene group vary from 0.0052 to 0.0806 (mean value: 0.0295) and 0.0327 to 0.1561 (mean value: 0.1054), respectively. Consistent with that observed in angiosperms [42], the mean synonymous substitution rate of the gene group is approximately three times faster than that of the non-synonymous substitution rate.

Substitution rate variation between the housekeeping (HK) and the photosynthetic (PS) genes in the cp genome was reported by Wicke and Schneeweiss [41]. We observe a significant difference in pairwise substitution rate between the primary HK and the primary PS genes (or between the other HK and other PS genes) across all 13 Myrsinaceae s.str. taxa (p < 0.001 based on non-parametric Wilcoxon rank sum tests). Both bivariate plots indicate that the rate distribution of HK genes is broader than that of PS genes (Figure 6), suggesting relatively lower purifying selection pressure on the HK genes than on the PS genes.

Figure 6.

Figure 6

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Bivariate plots of pairwise synonymous (dS) and nonsynonymous (dN) substitution rates of the protein-coding genes from the Myrsinaceae s.str. cp genomes. (A) Bivariate plot of the dN vs. the dS of primary housekeeping (HK) and photosynthetic (PS) genes, (B) bivariate plot of the dN vs. the dS of the other HK and PS genes.

The boxplots in Figure 7 show that the dN values of the primary HK genes are significantly higher than those of the primary PS genes (non-parametric Wilcoxon rank sum tests, p < 0.001), whereas the dS values show no significant difference between the two categories (p = 0.2156; Figure 7). Thus, the PS genes have a lower dN/dS ratio compared with the HK genes (non-parametric Wilcoxon rank sum tests, p < 0.001, Figure 7), re-enforcing the idea that the PS genes are under stronger functional constraints than the HK genes [43].

Figure 7.

Figure 7

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Comparison of the dS, the dN, and the ω values between the chloroplast primary PS and HK genes within clade Myrsinaceae s.str.; (A) boxplot of the dN values, (B) boxplot of the dS values, (C) boxplot of the ω values. The p-values were calculated by non-parametric Wilcoxon rank sum tests in R.

The dN/dS ratio is an important indicator of selective pressure at the protein level, with ω > 1 suggesting positive selection [44]. However, positive selection is reasonable if dS summed over all branches on the tree is >0.5 (PAML FAQ, http://saf.bio.caltech.edu/saf_manuals/pamlFAQs.pdf). Here, the individual dN/dS ratios of psbK, petG, and psaJ are 2.6062, 1.1178, and 1.4159, respectively, but their dS values summed over all branches on the tree are extremely low—0.0199, 0.0257, and 0.0295 for psbK, petG, and psaJ, respectively. Accordingly, the high dN/dS ratios of the three genes are likely caused by insufficient mutation signals rather than positive selection.

3. Materials and Methods

3.1. Sampling

In the present study, plant (or DNA) samples of the thirteen woody species representing eight genera within clade Myrsinaceae s.str. were collected. The chloroplast genome sequences of two species (Ar. polysticta and Ar. crenata) were downloaded from GenBank (Table 1). Of the remaining eleven species, the DNAs of five species—Ar. solanacea, El. johnsonii, My. africana, My. sandwicensis, and T. netor—were generously provided by Kew DNA Bank of Royal Botanic Gardens, Kew (http://dnabank.science.kew.org/), and plant materials of the other six species were collected from the field and specimens. Refer to Table 1 for details on sample collection. Cp genomes of the thirteen woody species in clade Myrsinaceae s.str. were obtained and analyzed. L. coreana (clade Lysimachieae, Myrsinoideae; KM819521), Pr. sinensis (Primuloideae; KU321892), and Ma. montana (Maesoideae; KU569490), whose cp genomes are publicly available in GenBank, were used as outgroups for the phylogenetic analyses.

3.2. DNA Extraction and Sequencing

Total genomic DNA was extracted from dry leaves using a modified cetyltrimethyl ammonium bromide (CTAB) method [45]. DNA concentration was determined using the Qubit Fluorometer (Thermo Fisher Scientific, Waltham, MA, USA). The short-insert (ca. 500 bp) paired-end libraries were prepared using the TruePrepTM DNA Library Prep Kit V2 for Illumina (Vazyme Biotech Co., Ltd., Nanjing, China) following the manufacturer’s protocols. The libraries were sequenced on Illumina Hiseq X Ten platform (Illumina, Inc., San Diego, CA, USA) at Beijing Genomics Institute (Shenzhen, China) with read length of 150 bp. Raw sequencing data were qualified by FastQC v0.11.7 (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/), and the adaptor sequences were removed by Trimmomatic 0.36 [46]. Approximately 2 Gb clean reads for each taxon were obtained.

3.3. Chloroplast Genome Assembly and Annotation

The clean sequences were assembled into complete cp genomes by NOVOPlasty 2.6.3 [47] using the cp genome of Ar. polysticta (Genbank No. NC_021121) as the reference with a default k-mer of 39. For samples that failed to yield complete cp genomes, we assembled the reads into scaffolds using Spades 3.11.1 [48]. The locations of scaffolds were determined using Blast 2.7.1 (http://blast.ncbi.nlm.nih.gov/) for generating a complete consensus sequence using the “Map to reference” function implemented in Geneious v11.0.3 [49].

Complete cp genomes were annotated using DOGMA v1.2 [50], and tRNAs were annotated using ARAGORN [51]. The raw annotations were subsequently examined and adjusted manually based on the reference cp genome (NC_021121) in Geneious (v11.0.3) to determine gene structures. The four SC-IR junctions in all cp genomes were examined for whether expansions or contractions of the IR regions had occurred. The complete annotated cp genome sequences were deposited in GenBank (Table 1). Circular cp genome maps were drawn using OrganellarGenome DRAW [52] with default settings and checked manually.

3.4. Identification of CpSSRs and Hypervariable Regions

Chloroplast simple sequence repeats (cpSSRs) were identified using MISA [53]. The minimum number of repeats was set as 10, 5, 4, 3, 3, and 3 for mono-, di-, tri-, tetra-, penta-, and hexa-nucleotide SSRs, respectively.

To detect hypervariable regions, the sequences of all 13 complete cp genomes were aligned using MAFFT v7.308 [54]. The sliding window analysis was conducted to evaluate nucleotide diversity (Pi) using DnaSP v6.11.01 [55] with a window size of 600 bp and a step size of 200 bp. The overall sequence identity among these cp genomes was plotted using mVISTA program under shuffle-LAGAN mode [56] with a reference of Ar. polysticta cp genome.

3.5. Phylogenetic Analyses

The 78 sequences of the protein-coding genes (PCGs) were extracted from all 13 cp genomes and aligned using the translation align function in MAFFT v7.308 with the L-INS-I method in Geneious. The genetic code was set as “Bacterial”, and the translation frame was set to 1. The aligned matrixes were concatenated into a super matrix for phylogenetic reconstruction. The best partition scheme was analyzed using PartitionFinder 2 with greedy search under the AICc criterion [57]. The maximum likelihood (ML) method was used for phylogenetic reconstruction by RAxML-HPC v8.2.20 [58] via CIPRES Science Gateway [59]. The ML analysis was performed with the GTR + Γ model under the best partitioning scheme. Node supports were evaluated by 1000 rapid bootstrap replicates. L. coreana, Pr. sinensis, and Ma. montana were used as outgroups.

3.6. Substitution Rate Estimation

To investigate the evolutionary patterns of the cp genomes, the rates of nonsynonymous (dN) and synonymous (dS) substitutions as well as the dN/dS ratios were determined using PAML’s codeml [60] with codon frequencies F3 × 4. Gaps were excluded using cleandata = 1 to avoid spurious rate inference [61]. The dN/dS ratios were estimated by excluding genes with dS value smaller than 0.001. Genes without nonsynonymous and/or synonymous mutations were also excluded from further statistical analyses. The ML tree constructed based on the cp protein-coding genes was used as a constraint tree. The shared protein-coding genes within clade Myrsinaceae s.str. were classified into the following categories: (1) primary housekeeping (HK) genes (rpo, rpl, and rps), primary photosynthetic (PS) genes (atp, ndh, pet, psa, and psb), other HK genes (clpP, matK, ycf1, and ycf2), and other PS genes (ccsA, cemA, rbcL, ycf3, and ycf4) according to the criteria described by Wicke et al. [62]; (2) concatenated gene sets for the functional groups; and (3) all individual genes [61]. Statistical analyses were performed using R 3.6.1 [63].

4. Conclusions

Here, we sequenced and characterized the complete cp genomes of 13 taxa within the Myrsinaceae s.str. clade of Primulaceae. These cp genomes are highly conserved in terms of size and gene content and are typical quadripartite circle molecules consisting of an LSC region, an SSC region, and a pair of separated IRs. Three genes (infA, accD, and ycf15) were inferred to be pseudogenes, and ycf15 was completely absent from five taxa. The noncoding regions (intergenic spacers and introns) and the LSC regions showed relatively higher nucleotide diversity (Pi) values than other regions. A total of ten hypervariable regions were identified. A total of 796 cpSSR loci under six types were found across the 13 cp genomes, 74.37% of which were found to be located in the LSC region. Results with the phylogenetic analyses suggest that Myrsinaceae s.str. is a monophyletic clade that contains two main subclades. The HK genes exhibited a significantly higher dN compared with the PS genes, whereas the dS values of HK and PS genes were similar. These results indicate that the PS genes underwent stronger functional constraints than the HK genes.

Acknowledgments

We thank George Ferguson in the Univ. of Arizona Herbarium for the access to Primulaceae specimens. We also thank Kew DNA Bank of the Royal Botanic Gardens (Richmond, London, UK) for kindly providing some Primulaceae DNAs. We acknowledge TopEdit LLC for the linguistic editing and proofreading during the preparation of this manuscript.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/20/18/4534/s1.

Click here for additional data file. (1.1MB, pdf)

Author Contributions

G.H. and H.Y. conceived and designed this study; X.Y. (Xiaokai Yan), H.Y. and Y.X. prepared the materials; X.Y. (Xiaokai Yan) and X.Y. (Xun Yuan) performed the experiments; X.Y. (Xiaokai Yan), T.L. and X.Y. (Xun Yuan) analyzed the data; X.Y. (Xiaokai Yan), H.Y. and G.H. wrote the manuscript. All authors gave final approval of the paper.

Funding

This research was supported by the National Natural Science Foundation of China (grant no. 31570193 to G.H. and grant no. 31570222 to H.Y.), the Department of Science and Technology of Guangdong Province (grant no. 2017A030303063 to Y.X. (Yuan Xu), and the Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences (grant no. PCU201801 to G.H.).

Conflicts of Interest

The authors declare no conflict of interest.

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