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. 2018 Apr 4;9:359. doi: 10.3389/fpls.2018.00359

Positive Selection Driving Cytoplasmic Genome Evolution of the Medicinally Important Ginseng Plant Genus Panax

Peng Jiang 1,†, Feng-Xue Shi 2,†, Ming-Rui Li 3, Bao Liu 1, Jun Wen 4, Hong-Xing Xiao 1,*, Lin-Feng Li 3,*
PMCID: PMC5893753  PMID: 29670636

Abstract

Panax L. (the ginseng genus) is a shade-demanding group within the family Araliaceae and all of its species are of crucial significance in traditional Chinese medicine. Phylogenetic and biogeographic analyses demonstrated that two rounds of whole genome duplications accompanying with geographic and ecological isolations promoted the diversification of Panax species. However, contributions of the cytoplasmic genomes to the adaptive evolution of Panax species remained largely uninvestigated. In this study, we sequenced the chloroplast and mitochondrial genomes of 11 accessions belonging to seven Panax species. Our results show that heterogeneity in nucleotide substitution rate is abundant in both of the two cytoplasmic genomes, with the mitochondrial genome possessing more variants at the total level but the chloroplast showing higher sequence polymorphisms at the genic regions. Genome-wide scanning of positive selection identified five and 12 genes from the chloroplast and mitochondrial genomes, respectively. Functional analyses further revealed that these selected genes play important roles in plant development, cellular metabolism and adaptation. We therefore conclude that positive selection might be one of the potential evolutionary forces that shaped nucleotide variation pattern of these Panax species. In particular, the mitochondrial genes evolved under stronger selective pressure compared to the chloroplast genes.

Keywords: Araliaceae, cytoplasmic genome, genome sequencing, Panax, positive selection

Introduction

Flowering plants contain three genomes in distinct compartments, namely nuclear, mitochondrion and plastid, with each possessing different evolutionary trajectories and relatively independent genetic systems (Smith and Keeling, 2015). This tripartite distribution of nuclear and cytoplasmic genomes has profound impacts on the evolution and diversification of flowering plants (Roux et al., 2016; Sharbrough et al., 2017). For example, genes showing interaction between nuclear and organellar compartments are thought to be co-adapted in higher plants (Kleine et al., 2009; Greiner and Bock, 2013), in particular to those species that have undergone multiple rounds of whole genome duplication (WGD) (Sloan et al., 2013; Gong et al., 2014; Sharbrough et al., 2017). Roles of nuclear genome in the adaptation and diversification of higher plants have been extensively investigated; examples of such studies include how the changes in genome architecture responding to hybridization and polyploidy (Abbott et al., 2013; Soltis et al., 2015; Wendel et al., 2016; Sherman-Broyles et al., 2017; Spoelhof et al., 2017) as well as the molecular basis underlying the Evo-Devo process (De Bruijn et al., 2012; Fernández-Mazuecos and Glover, 2017). In contrast, contributions of the cytoplasmic genomes of flowering plants to local adaptation and long-term evolutionary significance are less studied (reviewed in Bock et al., 2014).

In flowering plants, cytoplasmic genome consists of chloroplast and mitochondrial genomes, which evolved separately from once free-living bacteria by endosymbiosis (Gray, 1992; Zimorski et al., 2014), but now are subcellular bioenergetics organelles with their own genetic systems (Allen, 2015). Mitochondrion is the first cytoplasmic genome captured by eukaryotes (Hjort et al., 2010), which produces energy by oxidative phosphorylation and channeling electrons through the respiratory chain complexes (Björkholm et al., 2015). While the mitochondrial genome of flowering plants shows very low rate of nucleotide substitution, substantial variations in genome size and structure are observed, such as structural rearrangements, massive gene loss, and frequent endogenous and foreign gene transfer (reviewed in Chen et al., 2017a). For example, the parasitic species Viscum scurruloideum possesses a mitochondrial genome with only ~65.9 kb in size, but Silene conica contains a much larger mitochondrial genome (~11.3 Mb in size) (Sloan et al., 2012; Skippington et al., 2015). In contrast, the chloroplast genome of flowering plants is relatively conserved at both structure and gene content levels (Yagi and Shiina, 2014; Smith and Keeling, 2015). Most flowering plants have a conserved quadripartite structure in the chloroplast genome of ~100-220 kb in size, which consists of a large single copy (LSC), a small single copy (SSC), and a pair of large inverted repeats (IRA and IRB) (Turmel et al., 2002; Wicke et al., 2011; Daniell et al., 2016). In addition to the photosynthesis that converts solar energy to carbohydrates and oxygen, chloroplast genome also plays crucial roles in plant growth and development, including nitrate and sulfate assimilation, amino acids, chlorophyll and carotenoids biosynthesis (Jensen and Leister, 2014; Daniell et al., 2016).

Compared to the nuclear genome that natural selection is one of the major evolutionary forces maintaining genetic variations at both intra- and inter-species levels, sequence polymorphisms existed in cytoplasmic genomes have long been thought as selectively neutral in the evolutionary process of flowering plants (reviewed in Bock et al., 2014). However, increasing evidence from recent genetic studies tends to challenge the neutral evolution assumption by showing that DNA polymorphisms are frequently adaptive in both mitochondrial and chloroplast genomes (reviewed in Bock et al., 2014). Evidence in support of this hypothesis came from the observations that a series of mitochondrial and chloroplast genes were found to show accelerated rates of nucleotide substitution. For example, the self-replication genes (e.g., rpo, rpl, and rps genes) of the chloroplast genome also exhibit relatively high nucleotide substitution rate compared to other genes (Guisinger et al., 2008; Weng et al., 2012). Additional evidence that indicates non-neutral evolution of cytoplasmic genome is reported in the chloroplast protein Rubisco in which the plastid-encoded large subunit (rbcL) not only shows signature of selection in most land plant species (reviewed in Bock et al., 2014), but also has profound effects on the concerted evolution of the nuclear-encoded small subunit (rbcS) in polyploid species (Gong et al., 2012, 2014). These empirical results apparently suggest that while parts of cytoplasmic genomes may evolve neutrally, some specific genes are frequently co-adapted with nuclear genes.

Panax L. (the ginseng genus) is a medicinally important genus within the family Araliaceae and all the approximately eight species are also of cultural significance for traditional Chinese medicine (Choi and Wen, 2000; Wen, 2001a,b; Zuo et al., 2011, 2015; Li and Wen, 2016). Phylogenetic analyses based on cytoplasmic and nuclear genes revealed two independent origins of the East Asian and North American disjunct distribution in Panax, with the diploid species P. trifolius and one of the tetraploid species P. quinquefolius distributed in eastern North America and the remaining species inhabiting in both cold temperate and warm subtropical and tropical regions of East Asia (Wen and Zimmer, 1996; Lee and Wen, 2004; Shi et al., 2015; Zuo et al., 2017). With regard to the mechanisms underlying the species diversification, two rounds of WGD have been hypothesized as the major driving force that caused rapid genomic divergence among Panax species (Choi et al., 2013, 2014; Kim et al., 2014; Shi et al., 2015). Then, geographic isolation along with shifting in ecological habitats has further promoted the evolutionary radiation of Panax (Shi et al., 2015; Zuo et al., 2017). These attributes make Panax an ideal system to investigate how the natural selection accompanying geographic and ecological isolations shape the patterns of nucleotide polymorphism at both intra- and inter-specific levels. In particular, nuclear and cytoplasmic reference genomes of several Panax species have been recently sequenced, including P. ginseng (Zhao et al., 2015; Jiang et al., 2017), P. notoginseng (Zhang et al., 2016, 2017; Chen et al., 2017b) and P. quinquefolius (Han et al., 2016). These available genomic resources provide a useful platform to evaluate adaptation and diversification of Panax at the genome-scale.

In this study, we sequenced the chloroplast and mitochondrial genomes of three diploid and three tetraploid Panax species along with five varieties of the P. bipinnatifidus species complex. All these Panax species are shade-demanding perennial herbs and inhabit the cool shaded habitats (Liu and Xiao, 1992; Chen et al., 2014, 2016). In the case of the agro-economically important species P. ginseng, while cultivated ginseng harbored similar level of nucleotide diversity compared to the wild ginseng in the nuclear genome, obviously lower sequence polymorphisms were found in the chloroplast genome of cultivated ginseng (Li et al., 2015, 2017). Specifically, cytoplasmic genomes as well as the cytoplasmic proteins encoded by the nuclear genome are the targets of selection in the cultivated ginseng during local adaptation and domestication processes (Li et al., 2017). Similarly, the increase in specific leaf area and chlorophyll content of the species P. notoginseng is negatively correlated with the growth irradiance level (Chen et al., 2014, 2016). It indicates the possibility that cytoplasmic genomes may not evolve neutrally in Panax species. To experimentally test this hypothesis, the current study attempts to evaluate how natural selection acts on the cytoplasmic genomes during the long-term evolutionary process of Panax. Our findings may provide new evidence on the non-neutral evolution model of cytoplasmic genome in Panax.

Materials and methods

Plant materials and DNA extraction

In previous studies, Wen and colleagues classified the genus Panax as seven well-recognized species and a group of not well-defined species represented by P. bipinnatifidus (Wen, 2001a; Zuo et al., 2011, 2015, 2017). Following their classification system, our specimens used in this study covered the P. bipinnatifidus species complex and six of the seven Panax species (Table S1). To further distinguish the five P. bipinnatifidus accessions used, we named them as P. bipinnatifidus var. japonicus, P. bipinnatifidus var. major, P. bipinnatifidus var. zingiberensis and P. bipinnatifidus var. vietnamensis, respectively (Figure 1 and Table S1). The diploid species P. trifolius and the tetraploid species P. japonicus were obtained from commercial farmer's markets in United States and Japan, respectively, and validated through comparing the DNA sequences of chloroplast rbcL gene with the available Panax species deposited in GenBank (Supplementary Data 1). The five varieties of P. bipinnatifidus species complex and two diploid species, P. notoginseng and P. stipuleanatus, were kindly provided by our collaborators. The remaining two tetraploid species P. ginseng and P. quinquefolius were collected in our previous studies (Li et al., 2015; Shi et al., 2015). Genomic DNAs of P. notoginseng, P. stipuleanatus and the five varieties of P. bipinnatifidus species complex were extracted from the silica-gel dried leaves using TianGen Plant Kit (TianGen, Beijing, China) following the manufacturer's instructions. Genomic DNAs of the remaining five species were extracted from fresh root tissue using TianGen Plant Kit.

Figure 1.

Figure 1

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Bayesian tree of the genus Panax based on the whole chloroplast genome. *indicates these sequences were downloaded from GenBank. Numbers on each branch are the posterior probabilities.

DNA sequencing, assembly and quality control

DNA libraries of the 11 Panax accessions were constructed by Novogene (Tianjin, China) with an average insertion size of 350 bp, and sequenced with the Illumina X10 platform (Illumina, Inc., San Diego, California, USA). The quality of obtained raw reads were evaluated for each accession using FASTQC (Schmieder and Edwards, 2011) and the low quality reads (Phred < 30) were removed using NGSQCtoolkit (Patel and Jain, 2012). Filtered reads were mapped to available chloroplast (GenBank accession: KF431956) and mitochondrial (GenBank accession: KF735063) reference genomes of P. ginseng using Burrows-Wheeler Aligner (Li and Durbin, 2010) with the default setting. To access the mapping quality of these Panax accessions, we also report the read depth for each accession and all Panax species using SAMtools (Li et al., 2009) with the parameter “samtools depth.” Single nucleotide polymorphisms (SNPs) and insertion/deletion (INDELs) were determined using SAMtools (Li et al., 2009), with the command “mpileup -ugst DP,SP -C 50 -q 30 -Q 20” and “bcftools call –vc.” Raw variants (SNPs and INDELs) were further filtered using Perl script with the cutoff “mapping quality (MQ) >30, read depth (RD) >3.” The values of DP at reported positions were employed to determine the missing data (DP = 0) for each of the Panax accessions. All filtered variants were subjected to subsequent data analyses.

Phylogenetic analyses

To remove the systematic bias that caused by missing data, only the SNPs that are non-missing in any of the 11 Panax accessions were used to construct the phylogenetic tree. Positions with missing data were removed using the software VCFtools (Danecek et al., 2011) with the parameter “vcftools –max-missing 1.” Filtered variant call format (VCF) were converted into FASTA format using Perl scripts. We realized that our data analyses relied on the assumption of no structural variations at both cytoplasmic genomes. To further test the reliability of our datasets, we downloaded 10 available Panax chloroplast genomes from GenBank and compared them with our data generated in this study. These chloroplast genome sequences include P. japonicus (KP036469), P. japonicus var. bipinnatifidus (KX46), P. notoginseng (KP036468), P. ginseng (KM067393), P. stipuleanatus (KX247147), two accessions of P. quinquefolius (KT028714 and KM088018), and three accessions of P. bipinnafidus var. vietnamensis (KP036470, KU059178, and KP036471). The closely related species Aralia undulata (KC456163) was employed as outgroup (Wen, 2011; Li et al., 2013). For the mitochondrial genome, only the reference species P. ginseng is available in GenBank (KF735063). We therefore employed the first diverging species of the genus P. trifolius (Wen and Zimmer, 1996; Lee and Wen, 2004; Zuo et al., 2017) to root the phylogenetic tree. In addition, we also employed the genic matrices to reconstruct the NJ tree and to assess the impacts of mitochondrial structural variations on the subsequent data analyses. Nucleotide substitution models of chloroplast and mitochondrial matrices were estimated using jModeltest separately (Darriba et al., 2012). The best-fit models for chloroplast and mitochondrial genomes are TVM+I+G and GTR+I+G, respectively. Bayesian analyses for the two cytoplasmic genomes were performed using MrBayes 3.2.6 (Ronquist et al., 2012), separately. For each of the two data sets, two independent Markov chains were performed with 1,000,000 generations. Divergence of the two independent runs was estimated by stopping the Bayesian iterations when the average standard deviation is below 0.01. Posterior probabilities on each branch were calculated as the majority-rule consensus of all sampled Bayesian trees with the first 25% discarded as burn-in. Topologies of the obtained Bayesian trees were presented using FigTree 1.4.3 (Rambaut, 2009) and modified with the program Adobe Illustrator CS5.

Nucleotide variation pattern and identification of selected genes

Distributions of sequence polymorphism were evaluated for the newly generated datasets of chloroplast and mitochondrial genomes using VCFtools (Danecek et al., 2011) with the command “vcftools–SNPdensity,” respectively. Numbers of variants were illustrated for all 11 Panax accessions with a sliding window size of 300 bp and visualized using R scripts. As very few variants were identified in each Panax accession, we visualized the variation distribution pattern with a sliding window size of 1,000 bp using R scripts. Coordination of each cytoplasmic gene was obtained from the available annotations of chloroplast (KF431956) and mitochondrial (KF735063) genomes. Variant distribution for each Panax accession was also presented using R scripts. All protein coding genes of the two cytoplasmic genomes were translated into amino acid based on the available annotations. Then, synonymous and non-synonymous substitutions of each gene were calculated by counting the numbers of each type of the variants. To further identify the genes under selection, we scanned the chloroplast and mitochondrial genomes using codelml of the package PAML (Yang, 2007). Only the genic matrices of the two cytoplasmic genomes were employed in the selection analyses. To further eliminate the data bias caused by the inter-genic regions, the chloroplast NJ tree was used to determine the phylogenetic relationships of these Panax species. Five site models (M0, M1a, M2a, M7, and M8) were employed to detect the signatures of adaptation across chloroplast and mitochondrial genomes. Likelihood ratio test (LRT) of the comparisons (M1a vs. M2a and M7 vs. M8) were used to evaluate of the selection strength and the p value of Chi square smaller than 0.05 is thought as significant. Genes that showed significant selection in both comparisons were defined as selected genes. Then, the Bayes Empirical Bayes (BEB) inference (Yang et al., 2005) was implemented in site models M2a and M8 to estimate the posterior probabilities and positive selection pressures of the selected genes.

Results

Sequence polymorphism

Total mapped reads on the chloroplast (156,355 bp) and mitochondrial (464,680 bp) reference genomes of these Panax accessions ranged from 140,136,350 (33,838 x coverage) in P. japonicus to 14,003,766 in P. notoginseng (3,381 x coverage), with an average depth of 14,356 x across the 11 Panax accessions (Table 1). All data generated in this study were submitted to GenBank under the bioproject number PRJNA428843. Differences in mapped reads and coverage depth observed in these accessions are mainly due to the total reads obtained for each accession. Given that the lowest genome coverage is ~3,381 x, we think difference in sequencing depth would not affect the accuracy of the subsequent data analyses. This conclusion is also supported by the statistics of read depth that while some mitochondrial regions possess relatively low read depth, most of the two cytoplasmic genomes show high genome coverage across these Panax accessions (Figure S1 and Supplementary Data 2). To this end, we calculated the number of variants for each of the 11 Panax accessions by comparing them with the reference P. ginseng. For the chloroplast genome, our results showed that only one variant was observed between the P. ginseng accession and reference sequence, indicating low level of intra-specific polymorphisms of P. ginseng (Table 1). Likewise, relatively low sequence polymorphisms were found in the two tetraploid species P. quinquefolius (129 SNPs, 0.08% of the chloroplast genome) and P. japonicus (115 SNPs, 0.07%) that are phylogenetically very close to the reference species (Table 1; also see Wen and Zimmer, 1996). In contrast, the two diploid species P. trifolius (1,242 SNPs, 0.8%) and P. stipuleanatus (995 SNPs, 0.6%) that show a large distance to the reference species possess 2–10 times more of the number of variants compared to the other species (Table 1). Similar trends were also observed in the mitochondrial genome where only 100 intra-specific variants (0.02%) were reported in P. ginseng, whereas the inter-specific variants varied from 1,009 (0.2%) in P. japonicus to 3,370 (0.7%) in P. notoginseng (Table 1). Thus, based on comparisons of the two cytoplasmic genomes, our results reveal that the mitochondrial genome harbors more variants at both overall and individual accession levels in comparison with the chloroplast genome.

Table 1.

Variant distributions of chloroplast and mitochondrial genomes across the 11 Panax accessions.

Species name Mapped reads Coverage depth Chloroplast Mitochondrion
Total sites Genic sites Total sites Genic sites
Panax ginseng 22,059,601 5,327 1 1 100 1
Panax quinquefolius 41,019,204 9,905 129 29 1,259 13
Panax japonicus 140,136,350 33,838 115 36 1,009 4
Panax bipinnatifidus var. major 1 67,923,657 16,401 356 129 1,897 40
Panax bipinnatifidus var. major 2 54,686,498 13,205 359 129 1,890 39
Panax bipinnatifidus var. major 3 80,414,250 19,417 351 128 1,969 40
Panax bipinnatifidus var. japonicus 49,906,798 12,051 436 146 2,735 42
Panax bipinnatifidus var. zingiberensis 46,347,969 11,191 417 146 1,119 14
Panax notoginseng 14,003,766 3,381 418 132 3,370 89
Panax stipuleanatus 26,150,000 6,314 995 359 2,504 89
Panax trifolius 111,196,691 26,850 1,242 437 2,230 85
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While a small number of sequence polymorphisms were identified in the chloroplast genome, a high proportion of these variants were located in protein-coding genes (Table 1). For example, 29 (22.5%) and 36 (31.3%) of the total SNPs were identified at the genic regions of P. japonicus and P. quinquefolius, respectively. Similarly, all the remaining species also show moderate percentage of variants (31.6–36.5%) at the genic regions. In contrast, while obviously more sequence polymorphisms were found in the mitochondrial genome compared to the chloroplast, only a small portion of these variants was located at the genic regions (Table 1). For example, only one of the 100 SNPs was identified at the genic regions of P. ginseng, suggesting that the mitochondrial coding regions are highly conserved within P. ginseng. Likewise, only 0.4–3.8% of the total inter-specific variants are identified at genic regions of the mitochondrial genome (Table 1). It should be noted that the tetraploid species P. japonicus possesses the lowest inter-specific variants at total sites of both chloroplast and mitochondrial genomes. On the contrary, while the species P. trifolius harbors the highest number of inter-specific variants at both genic and total sites in chloroplast genome, the species P. notoginseng shows more genic and total variants compared to other Panax species. Notably, a variety of the P. bipinnatifidus species complex, var. zingiberensis, possesses much less sequence polymorphisms at both genic and total sites compared to the other four varieties of the species in the mitochondrial genome (Table 1), suggesting the evolutionary history of mitochondrion is more complicated relative to chloroplast within Panax.

Phylogenetic analysis and variant distribution

The topology of our Bayesian chloroplast tree is largely congruent with that in previously published studies (Shi et al., 2015; Zuo et al., 2017). Briefly, the diploid species P. trifolius and P. stipuleanatus constitute the two most basally diverged clades and the remaining species fall into two sister clades (Figure 1), with one of which containing the three tetraploid species, (P. ginseng, P. japonicus and P. quinquefolius), and the other clade including the diploid species P. notoginseng and nine accessions of the P. bipinatifidus species complex. We noted that chloroplast genome sequences of the accessions P. japonicus (KP036469) and P. japonicus var. bipinnatifidus (KX247146) downloaded from GenBank were mislabeled. We therefore re-named the two accessions as P. bipinnatifidus var. japonicus (KP036469) and P. stipuleanatus (KX247146) according to the topologies of this study and the previous studies (Shi et al., 2015; Zuo et al., 2017). Compared to the chloroplast phylogenetic tree, different topologies were observed in the mitochondrial genome where two varieties of the P. bipinatifidus species complex, var. zingiberensis and var. japonicus, group together with three tetraploid species with high posterior probability values (Figure S2A). As most of the variants were located at the inter-genic regions, high sequence polymorphism might have resulted in the nucleotide mutation saturation. We therefore only employed the variants located at the genic regions to reconstruct the phylogenetic tree of all Panax accessions. Topologies of the resulting phylogenetic tree are highly similar to those that are based on the total polymorphic sites, with the three tetraploid species (P. ginseng, P. quinquefolius, and P. japonicus) and two varieties of P. bipinatufidus being grouped together as a polytomy (Figure S2B). These observations are consistent with the hypothesis based on the variation pattern that the evolutionary trajectory of mitochondrial genome is much more complex compared to the chloroplast genome of Panax.

With the general characteristics of the sequence polymorphisms and phylogenetic topologies of Panax outlined above, we briefly discuss the correlations between phylogenetic relationship and variant distribution for each of these Panax accessions below. As expected, the closer the species is related to the reference genome, the fewer variants were observed in both the chloroplast and mitochondrial genomes (Figures S3, S4). At the overall level, both the LSC and SSC harbor relatively higher nucleotide polymorphisms compared to those of the two inverted repeat regions (IRA and IRB) (Figure 2A). A similar phenomenon was also observed at the individual accession level where all the species show obviously low sequence polymorphisms at the IRA and IRB regions (Figure S3). For the mitochondrial genome, while the total number of sequence polymorphism is higher relative to the chloroplast genome, the overall distribution pattern of variants was random across the mitochondrial genome (Figure 2B). In particular, distinct distribution patterns were observed among these Panax accessions in the mitochondrial genome (Figure S4).

Figure 2.

Figure 2

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Variant distributions of chloroplast (A) and mitochondrial (B) genomes in Panax at the overall level. Colors in the outer cycle represent the location and length of each gene in the two cytoplasmic genomes. Numbers in the inner cycles are the total variants within each 300 sliding windows.

Identification of genes under selection

To identify genes under selection in the chloroplast and mitochondrial genomes, we calculated the numbers of synonymous (syn) and non-synonymous (nonsyn) mutations for each gene separately (Tables S2, S3). The syn and nonsyn substitutions were determined by comparing their translated protein sequences with the reference genome. For the chloroplast genome, higher numbers of syn and non-syn substitutions were found in the more basally diverged species P. trifolius (syn: 229 and nonsyn: 205) and P. stipuleanatus (syn: 166 and nonsyn: 191) compared to the other species (syn: from 18 to 70 and nonsyn: from 10 to 73) that are phylogenetically closer to P. ginseng. Specifically, the ratio of syn/nonsyn is greater than or nearly equal to 1 in most of these Panax accessions. In the mitochondrial genome, by contrast, all species assessed in this study possess more non-synonymous mutations at the total level. At the individual gene level, sequence polymorphisms are quite different among genes in both chloroplast and mitochondrial genomes (Tables S2, S3). For the chloroplast genome, we found that some genes related to DNA-dependent RNA polymerase (rpoB, rpoC1, and rpoC2), NADH-dehydrogenase (ndhD, ndhF, and ndhH), rubisco (rbcL) and unknown function (ycf1) harbor relatively more variants (Table S2). Likewise, the mitochondrial genes related to ribosomal protein (rps4), maturates (matR), and ATP synthase (atp6 and atp8) also show relatively high sequence diversity at the genic regions (Table S3). To further identify the genes that evolved under natural selection, we scanned the chloroplast and mitochondrial genomes by comparing the ratio of dN/dS. Our statistical test on neutralist identified five (rbcL, clpP, atpF, ycf1, and ycf2) and 12 (atp6, atp8, matR, nad3, rps4, rps11, sdh3, sdh4, ccmB, ccmC, ccmFc, and ccmFn) genes are under significant positive selection (p < 0.05) in the chloroplast and mitochondrial genomes, respectively (Table 2). We noted that these genes under selection are partially overlapped with those of high sequence polymorphism genes. For example, 281 variants (4.9% of the total length) were determined at the ycf1 gene, 218 of which are nonsyn substitutions across the 11 Panax accessions. Most importantly, BEB simulation of the ycf1 gene identified seven and eight nonsyn sites that are the targets of positive selection in the M2a and M8 models, respectively (Table 2). Likewise, while sequence polymorphisms of the remaining four chloroplast genes were not as high as the ycf1 gene, significant positive selection was also detected at the nonsyn sites of these genes. A similar phenomenon was also observed in the mitochondrial genome in which 12 of the 38 genes are identified to have undergone positive selection, with each of which possessing several selected nonsyn sites (Table 2). Functions of the 12 genes under selection are related to diverse pathways, including ribosomal protein, succinate dehydrogenase, maturases and ATP synthase.

Table 2.

Positive selected sites detected in the cytoplasmic genome of the genus Panax.

Genome Gene name M2a model M8 model
Selected sites Pr (w>1) Selected sites Pr (w>1)
Chloroplast rbcL 328 S 0.973* 328 S 0.984*
clpP 37 P 0.988* 37 P 0.995**
39 A 0.998** 39 A 0.999**
atpF 183 G 0.946 183 G 0.977*
ycf1 552 K 0.946 552 K 0.955*
709 V 0.981* 709 V 0.987*
732 T 0.980* 732 T 0.987*
741 R 0.984* 741 R 0.990*
744 I 0.990** 744 I 0.994**
1040 E 0.986* 1040 E 0.991**
1505 Q 0.971* 1505 Q 0.979*
1688 E 0.980* 1688 E 0.987*
ycf2 NA NA NA NA
Mitochondrion atp6 27 H 0.965* 27 H 0.984*
48 L 0.951* 48 L 0.971*
216 L 0.962* 216 L 0.983*
atp8 26 P 0.984* 26 P 0.991**
80 S 1.000** 80 S 1.000**
matR 256 H 0.944 256 H 0.958*
288 Q 0.991** 288 Q 0.994**
412 L 0.957* 412 L 0.966*
nad3 8 C 0.980* 8 C 0.995**
15 L 0.889 15 L 0.958*
rps4 217 K 0.975* 217 K 0.990*
269 L 0.977* 269 L 0.990**
rps11 13 S 0.998** 13 S 0.999**
sdh3 13 L 0.981* 13 L 0.993**
38 L 0.904 38 L 0.954*
sdh4 96 L 0.957* 96 L 0.982*
ccmB 7 E 0.987* 7 E 0.997**
78 S 0.916 78 S 0.969*
204 S 0.916 204 S 0.969*
ccmC 77 F 0.959* 77 F 0.983*
ccmFc 393 S 0.990* 393 S 0.996**
ccmFn NA NA NA NA
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NA, the two genes, ycf2 and ccmFn show significant selection at both M2a and M8 site models, but no sites are identified in the BEB inference of both models.

*

p < 0.05;

**

p < 0.01.

Discussion

Mechanisms underlying the rate heterogeneity in cytoplasmic genomes

Sequence polymorphisms maintained in the cytoplasmic genomes have long been regarded as selectively neutral (Bock et al., 2014). Under the neutrality assumption, variants are expected to be randomly distributed across the chloroplast and mitochondrial genomes. However, genetic evidence from recent studies pointed out that rate heterogeneity of nucleotide substitution is a general feature of the cytoplasmic genome in flowering plants. In particular, the genes showing accelerated rate of nucleotide substitution are widely observed and shared among the flowering plants (Bock et al., 2014). In this study, rate heterogeneity was also observed in the chloroplast and mitochondrial genomes at both overall and individual species levels in the medicinally important genus Panax. Specifically, the two chloroplast inverted regions, IRA and IRB, show obviously lower sequence polymorphisms compared to the LSC and SSC regions. Mechanisms underlying the rate heterogeneity can be explained by different mutation rates and selection pressures among loci (locus-specific effects) or species (lineage effects) (Soria-Hernanz et al., 2008). For example, genetic analyses based on 113 grass chloroplast genomes revealed that both locus-specific and lineage effects have contributed to the heterogeneity of sequence polymorphism (Piot et al., 2017). In our case, results from chloroplast genes demonstrate that, while the two most basal Panax species possess clearly more variants relative to those that are phylogenetically closer to P. ginseng, all species show a similar pattern of variant distribution, suggesting that locus-specific effect might have played a major role in maintaining the variant distribution in chloroplast genome. In contrast, while heterogeneity in sequence polymorphism is also observed among mitochondrial genes, high sequence polymorphisms are found in the species P. notoginseng and P. bipinnatificus var. japonicus instead of the two most basal species, suggesting that both locus-specific and lineage effects have together shaped the variant pattern of Panax mitochondrial genome.

Mitochondrial and chloroplast genomes share many common properties, such as a circular chromosome structure, uniparental inheritance and transferring most of their genes to nuclear genome (reviewed in Smith and Keeling, 2015). Parallel evolution of these common features within the same cell suggests that the two cytoplasmic genomes may have shared similar evolutionary trajectories. However, our results revealed that these Panax species show obviously distinct variation pattern between chloroplast and mitochondrial genomes, with the latter possessing more variants at total sites but containing less sequence polymorphism at the genic region. These observations can be partially explained by the DNA repair mechanisms which specifically act on the mitochondrial coding regions (Davila et al., 2011; Christensen, 2013, 2014). In fact, similar phenomena were widely found in flowering plants wherein although structural variation and recombination occurred frequently in the mitochondrial genome, relatively lower nucleotide substitution rates were observed at the genic regions (Drouin et al., 2008; Soria-Hernanz et al., 2008; Zhu et al., 2014). In addition, it was proposed that the mitochondrial genome harbors a greater breadth of complexity and more pronounced unique variations than chloroplast genome. For example, nucleotide substitution rates of mitochondrial genes are more variable and often much higher or lower than those of chloroplast (Lynch et al., 2006; Richardson et al., 2013; Smith and Keeling, 2015). Thus, accelerated substitution rate of mitochondrial genome might also be the potential reason that results in the accumulation of high number of variants at the inter-genic regions. Furthermore, gene transfer from chloroplast and nuclear genome to mitochondrial genome occurred frequently in flowering plants, whereas foreign DNA insertions are very rare in the chloroplast genome (Kleine et al., 2009; Smith, 2011). This process confers the mitochondrion a more complex genomic constitution compared to the chloroplast genome. However, we also realized that the inter-genic variants obtained in this study were relied on the assumption of no structural variations across the Panax species. While our results revealed high level of genome coverage for these Panax accessions, the possibility of false positive of these mitochondrial inter-genetic variants cannot be fully ruled out. Taken together, our study suggests that DNA repair, nucleotide substitution rate and complicated evolutionary process might be the potential mechanisms that lead to the heterogeneity of sequence polymorphism observed in Panax cytoplasmic genomes, especially for the mitochondrial genome.

Positive selection driving the cytoplasmic genome evolution

All Panax species have adapted to cool and shaded environments (Liu and Xiao, 1992; Wen, 2001a; Chen et al., 2014, 2016), indicating that these shade-demanding species might have evolved mechanisms to respond to different light conditions. In the case of P. notoginseng, for example, increasing in specific leaf area and chlorophyll content are negatively correlated with the growth irradiance level (Chen et al., 2014, 2016). Likewise, cytoplasmic proteins of P. ginseng encoded by both cytoplasmic and nuclear genomes are the targets of selection during local adaptation and domestication processes (Li et al., 2017). These attributes together suggest that cytoplasmic genes may have evolved non-neutrally in the Panax species. As expected, five and 12 genes were suggested to have undergone positive selection during the evolutionary process of Panax. In the case of chloroplast genome, for example, the large subunit of rubisco gene, rbcL, is the target of selection in relation to the changes in temperature, drought and carbon dioxide concentration (reviewed in Bock et al., 2014), in particular for those species that have experienced C4 photosynthesis evolution (Galmés et al., 2015; Orr et al., 2016; Piot et al., 2017). Our study also revealed that positive selection might have acted on the rbcL gene during the evolutionary process of Panax. Of significance, only one syn substitution was found in the three tetraploid species (P. ginseng, P. japonicas, and P. quinquefolius) that form a clade, suggesting they evolved via a single recent polyploidy event (Wen and Zimmer, 1996; Shi et al., 2015), whereas a total of 14 syn and 13 nonsyn substitutions were identified in the remaining species. Specifically, these non-syn substitutions are clustered in the N-terminal domain and the middle region, which form the active sites for rubisco and interface with the rbcS gene (Spreitzer and Salvucci, 2002; Spreitzer et al., 2005). Given that the genus Panax has experienced both ancient and recent WGDs (Shi et al., 2015) and the rbcL gene plays important roles in the concerted evolution of rbcS gene in allopolyploids (Gong et al., 2012, 2014), we propose that cyto-nuclear coordination between the two rubisco genes might have together contributed to the speciation and adaptation of Panax species. In addition, the genes atpF, clpP, ycf1, and ycf2 identified in this study are also the targets of positive selection in diverse flowering plants (Erixon and Oxelman, 2008; Parks et al., 2009; Zhong et al., 2009; Sloan et al., 2014). Functions of these genes are related to plant development and cellular metabolism (Drescher et al., 2000; Kuroda and Maliga, 2003), suggesting that these genes are the common targets in the evolutionary process of chloroplast genome.

Compared to the chloroplast genome that transforms the solar energy into carbohydrates and oxygen, mitochondrial genome is mainly responsible for providing energy currency to life processes of all eukaryotic species (Gray et al., 1999; Gray, 2012; Jensen and Leister, 2014). While genome size and structure of mitochondrion vary dramatically among species, gene content is highly conserved (Gray, 2014; Smith and Keeling, 2015; Gualberto and Newton, 2017), possibly due to strong selective constraints acting on the mitochondrial genes (Björkholm et al., 2015). However, genetic surveys of neutrality in mitochondrial genome are far behind the chloroplast genome in flowering plants. In this study, we found that all Panax species show high ratio of non-synonymous/synonymous substitution at the overall level in mitochondrion compared to the chloroplast. Specifically, 12 of the 38 (31.6%) protein-coding genes are assumed to under positive selection. Functions of these genes are related to RNA maturases, succinate dehydrogenase, ATP and ribosomal protein synthesis. The ATP synthesis genes (e.g., atp1 and atp9) show accelerated substitution rate in diverse flowering plants (Mower et al., 2007; Bock et al., 2014). Genetic analyses of the gene atp1 suggested that it was involved in plant development of the Arabidopsis recG1 line (Wallet et al., 2015). Similarly, succinate dehydrogenases (sdh3 and sdh4) are functional related to photosynthesis, fungal defense, and reactive oxygen species production (Huang and Millar, 2013; Jardim-Messeder et al., 2015). These observations collectively suggest that the mitochondrial genes under positive selection are highly associated with plant development and adaptation in Panax. Taken together, our study demonstrates that while most of the sequence polymorphisms are selectively neutral in the two cytoplasmic genomes, positive selection is one of the potential driving forces modulating the nucleotide variation patterns in the Panax species. In particular, the mitochondrial genes evolved under obviously stronger selection pressure compared to the chloroplast genes, possibly due to distinct functions and evolutionary trajectories of the two cytoplasmic genomes in the genus Panax. These findings shed new insights into the cytoplasmic genome evolution of the plant species.

Author contributions

L-FL conceived and designed the experiments. L-FL, BL, JW, PJ, F-XS, M-RL, and H-XX interpreted the data and wrote the manuscript. PJ, F-XS, and M-RL performed the experiments and analyzed the data. All authors contributed to and approved the final manuscript.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank Drs. Yuezhi Pan and Yongpeng Ma at Kunming Institute of Botany for kindly providing the Panax materials. This study was financially supported by National Science Foundation of China (31470010 and 31670382) and Start-up funding at Fudan University (JIH1322105).

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2018.00359/full#supplementary-material

Figure S1

Average dead depth of the 11 Panax accessions in the chloroplast (A) and mitochondrial (B) genomes.

Click here for additional data file. (8.2MB, PDF)
Figure S2

Bayesian trees of the genus Panax based on the total (A) and genic (B) variants of mitochondrial genome. Numbers on each branch are the posterior probabilities.

Click here for additional data file. (133.2KB, PDF)
Figure S3

Variant distributions of chloroplast genome in the Panax species at the individual level. The color bars on the bottom represent the location of each gene in the chloroplast genome. Orders of these genes are the same as the Figure 2A.

Click here for additional data file. (9.3MB, PDF)
Figure S4

Variant distributions of mitochondrial genome in the Panax species at the individual level. The color bars on the bottom represent the location of each gene in the mitochondrial genome. Orders of these genes are the same as the Figure 2B.

Click here for additional data file. (9.8MB, PDF)
Table S1

Geographic locations of the 11 Panax accessions used in this study.

Click here for additional data file. (21.7KB, DOCX)
Table S2

Numbers of synonymous and non-synonymous sites for each gene of the chloroplast genome in Panax.

Click here for additional data file. (22.8KB, XLSX)
Table S3

Numbers of synonymous and non-synonymous sites for each gene of the mitochondrial genome in Panax.

Click here for additional data file. (43.1KB, XLSX)
Click here for additional data file. (1.2KB, ZIP)
Click here for additional data file. (15.2MB, ZIP)

References

  1. Abbott R., Albach D., Ansell S., Arntzen J. W., Baird S. J., Bierne N., et al. (2013). Hybridization and speciation. J. Evol. Biol. 26, 229–246. 10.1111/j.1420-9101.2012.02599.x [DOI] [PubMed] [Google Scholar]
  2. Allen J. F. (2015). Why chloroplasts and mitochondria retain their own genomes and genetic systems: colocation for redox regulation of gene expression. Proc. Natl. Acad. Sci. U.S.A. 112, 10231–10238. 10.1073/pnas.1500012112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Björkholm P., Harish A., Hagström E., Ernst A. M., Andersson S. G. (2015). Mitochondrial genomes are retained by selective constraints on protein targeting. Proc. Natl. Acad. Sci. U.S.A. 112, 10154–10161. 10.1073/pnas.1421372112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bock D. G., Andrew R. L., Rieseberg L. H. (2014). On the adaptive value of cytoplasmic genomes in plants. Mol. Ecol. 23, 4899–4911. 10.1111/mec.12920 [DOI] [PubMed] [Google Scholar]
  5. Chen J. W., Kuang S. B., Long G. Q., Meng Z. G., Li L. G., Chen Z. J., et al. (2014). Steady-state and dynamic photosynthetic performance and nitrogen partitioning in the shade-demanding plant Panax notoginseng under different levels of growth irradiance. Acta Physiol. Plant. 36, 2409–2420. 10.1007/s11738-014-1614-9 [DOI] [Google Scholar]
  6. Chen J. W., Kuang S. B., Long G. Q., Yang S. C., Meng Z. G., Li L. G., et al. (2016). Photosynthesis, light energy partitioning, and photoprotection in the shade-demanding species Panax notoginseng under high and low level of growth irradiance. Funct. Plant Biol. 43, 479–491. 10.1071/FP15283 [DOI] [PubMed] [Google Scholar]
  7. Chen W., Kui L., Zhang G., Zhu S., Zhang J., Wang X., et al. (2017a). Whole-genome sequencing and analysis of the Chinese herbal plant Panax notoginseng. Mol. Plant. 10, 899–902. 10.1016/j.molp.2017.02.010 [DOI] [PubMed] [Google Scholar]
  8. Chen Z., Zhao N., Li S., Grover C. E., Nie H., Wendel J. F., et al. (2017b). Plant mitochondrial genome evolution and cytoplasmic male sterility. Crit. Rev. Plant. Sci. 36, 55–69. 10.1080/07352689.2017.1327762 [DOI] [Google Scholar]
  9. Choi H. I., Kim N. H., Lee J., Choi B. S., Do Kim K., Park J. Y., et al. (2013). Evolutionary relationship of Panax ginseng and P. quinquefolius inferred from sequencing and comparative analysis of expressed sequence tags. Genet. Resour. Crop. Evol. 60, 1377–1387. 10.1007/s10722-012-9926-3 [DOI] [Google Scholar]
  10. Choi H. I., Waminal N. E., Park H. M., Kim N. H., Choi B. S., Park M., et al. (2014). Major repeat components covering one-third of the ginseng (Panax ginseng CA Meyer) genome and evidence for allotetraploidy. Plant J. 77, 906–916. 10.1111/tpj.12441 [DOI] [PubMed] [Google Scholar]
  11. Choi H. K., Wen J. (2000). A phylogenetic analysis of Panax (Araliaceae): integrating cpDNA restriction site and nuclear rDNA ITS sequence data. Plant Syst. Evol. 224, 109–120. 10.1007/BF00985269 [DOI] [Google Scholar]
  12. Christensen A. C. (2013). Plant mitochondrial genome evolution can be explained by DNA repair mechanisms. Genome Biol. Evol. 5, 1079–1086. 10.1093/gbe/evt069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Christensen A. C. (2014). Genes and junk in plant mitochondria-repair mechanisms and selection. Genome Biol. Evol. 6, 1448–1453. 10.1093/gbe/evu115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Danecek P., Auton A., Abecasis G., Albers C. A., Banks E., DePristo M. A., et al. (2011). The variant call format and VCFtools. Bioinformatics 27, 2156–2158. 10.1093/bioinformatics/btr330 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Daniell H., Lin C. S., Yu M., Chang W. J. (2016). Chloroplast genomes: diversity, evolution, and applications in genetic engineering. Genome Biol. 17:134. 10.1186/s13059-016-1004-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Darriba D., Taboada G. L., Doallo R., Posada D. (2012). jModelTest 2: more models, new heuristics and parallel computing. Nat. Methods 9, 772–772. 10.1038/nmeth.2109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Davila J. I., Arrieta-Montiel M. P., Wamboldt Y., Cao J., Hagmann J., Shedge V., et al. (2011). Double-strand break repair processes drive evolution of the mitochondrial genome in Arabidopsis. BMC Biol. 9:64. 10.1186/1741-7007-9-64 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. De Bruijn S., Angenent G. C., Kaufmann K. (2012). Plant “evo-devo”goes genomic: from candidate genes to regulatory networks. Trends Plant Sci. 17, 441–447. 10.1016/j.tplants.2012.05.002 [DOI] [PubMed] [Google Scholar]
  19. Drescher A., Ruf S., Calsa T., Carrer H., Bock R. (2000). The two largest chloroplast genome-encoded open reading frames of higher plants are essential genes. Plant J. 22, 97–104. 10.1046/j.1365-313x.2000.00722.x [DOI] [PubMed] [Google Scholar]
  20. Drouin G., Daoud H., Xia J. (2008). Relative rates of synonymous substitutions in the mitochondrial, chloroplast and nuclear genomes of seed plants. Mol. Phylogenet. Evol. 49, 827–831. 10.1016/j.ympev.2008.09.009 [DOI] [PubMed] [Google Scholar]
  21. Erixon P., Oxelman B. (2008). Whole-gene positive selection, elevated synonymous substitution rates, duplication, and indel evolution of the chloroplast clpP1 gene. PLoS ONE 3:e1386. 10.1371/journal.pone.0001386 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Fernández-Mazuecos M., Glover B. J. (2017). The evo-devo of plant speciation. Nat. Ecol. Evol. 1:0110. 10.1038/s41559-017-0110 [DOI] [PubMed] [Google Scholar]
  23. Galmés J., Kapralov M., Copolovici L., Hermida-Carrera C., Niinemets Ü. (2015). Temperature responses of the Rubisco maximum carboxylase activity across domains of life: phylogenetic signals, trade-offs, and importance for carbon gain. Photosyn. Res. 123, 183–201. 10.1007/s11120-014-0067-8 [DOI] [PubMed] [Google Scholar]
  24. Gong L., Olson M., Wendel J. F. (2014). Cytonuclear evolution of rubisco in four allopolyploid lineages. Mol. Biol. Evol. 31, 2624–2636. 10.1093/molbev/msu207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Gong L., Salmon A., Yoo M. J., Grupp K. K., Wang Z., Paterson A. H., et al. (2012). The cytonuclear dimension of allopolyploid evolution: an example from cotton using rubisco. Mol. Biol. Evol. 29, 3023–3036. 10.1093/molbev/mss110 [DOI] [PubMed] [Google Scholar]
  26. Gray M. W. (1992). The endosymbiont hypothesis revisited. Int. Rev. Cytol. 141, 233–357. 10.1016/S0074-7696(08)62068-9 [DOI] [PubMed] [Google Scholar]
  27. Gray M. W. (2012). Mitochondrial evolution. CSH Perspect. Biol. 4:a011403. 10.1101/cshperspect.a011403 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Gray M. W. (2014). The pre-endosymbiont hypothesis: a new perspective on the origin and evolution of mitochondria. CSH Perspect. Biol. 6:a016097. 10.1101/cshperspect.a016097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Gray M. W., Burger G., Lang B. F. (1999). Mitochondrial evolution. Science 283, 1476–1481. 10.1126/science.283.5407.1476 [DOI] [PubMed] [Google Scholar]
  30. Greiner S., Bock R. (2013). Tuning a ménage à trois: co-evolution and co-adaptation of nuclear and organellar genomes in plants. Bioessays 35, 354–365. 10.1002/bies.201200137 [DOI] [PubMed] [Google Scholar]
  31. Gualberto J. M., Newton K. J. (2017). Plant mitochondrial genomes: dynamics and mechanisms of mutation. Annu. Rev. Plant Biol. 68, 225–252. 10.1146/annurev-arplant-043015-112232 [DOI] [PubMed] [Google Scholar]
  32. Guisinger M. M., Kuehl J. V., Boore J. L., Jansen R. K. (2008). Genome-wide analyses of Geraniaceae plastid DNA reveal unprecedented patterns of increased nucleotide substitutions. Proc. Natl. Acad. Sci. U.S.A. 105, 18424–18429. 10.1073/pnas.0806759105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Han Z. J., Li W., Liu Y., Gao L. Z. (2016). The complete chloroplast genome of North American ginseng, Panax quinquefolius. Mitochondrial DNA 27, 3496–3497. 10.3109/19401736.2015.1066365 [DOI] [PubMed] [Google Scholar]
  34. Hjort K., Goldberg A. V., Tsaousis A. D., Hirt R. P., Embley T. M. (2010). Diversity and reductive evolution of mitochondria among microbial eukaryotes. Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 713–727. 10.1098/rstb.2009.0224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Huang S., Millar A. H. (2013). Succinate dehydrogenase: the complex roles of a simple enzyme. Curr. Opin. Plant Biol. 16, 344–349. 10.1016/j.pbi.2013.02.007 [DOI] [PubMed] [Google Scholar]
  36. Jardim-Messeder D., Caverzan A., Rauber R., Souza Ferreira E., Margis-Pinheiro M., Galina A. (2015). Succinate dehydrogenase (mitochondrial complex II) is a source of reactive oxygen species in plants and regulates development and stress responses. New Phytol. 208, 776–789. 10.1111/nph.13515 [DOI] [PubMed] [Google Scholar]
  37. Jensen P. E., Leister D. (2014). Chloroplast evolution, structure and functions. F1000prime Rep. 6:40. 10.12703/P6-40 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Jiang X., Yang C., Baosheng L., Shuiming X., Qinggang Y., Rui B., et al. (2017). Panax ginseng genome examination for ginsenoside biosynthesis. GigaScience 6, 1–15. 10.1093/gigascience/gix093 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Kim N.-H., Choi H.-I., Kim K. H., Jang W., Yang T.-J. (2014). Evidence of genome duplication revealed by sequence analysis of multi-loci expressed sequence tag-simple sequence repeat bands in Panax ginseng Meyer. J. Gins. Res. 38, 130–135. 10.1016/j.jgr.2013.12.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Kleine T., Maier U. G., Leister D. (2009). DNA transfer from organelles to the nucleus: the idiosyncratic genetics of endosymbiosis. Annu. Rev. Plant Biol. 60, 115–138. 10.1146/annurev.arplant.043008.092119 [DOI] [PubMed] [Google Scholar]
  41. Kuroda H., Maliga P. (2003). The plastid clpP1 protease gene is essential for plant development. Nature 425, 86–89. 10.1038/nature01909 [DOI] [PubMed] [Google Scholar]
  42. Lee C., Wen J. (2004). Phylogeny of Panax using chloroplast trnC–trnD intergenic region and the utility of trnC–trnD in interspecific studies of plants. Mol. Phylogenet. Evol. 31, 894–903. 10.1016/j.ympev.2003.10.009 [DOI] [PubMed] [Google Scholar]
  43. Li H., Durbin R. (2010). Fast and accurate long-read alignment with Burrows–Wheeler transform. Bioinformatics 26, 589–595. 10.1093/bioinformatics/btp698 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Li H., Handsaker B., Wysoker A., Fennell T., Ruan J., Homer N., et al. (2009). The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079. 10.1093/bioinformatics/btp352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Li M. R., Shi F. X., Li Y. L., Jiang P., Jiao L., Liu B., et al. (2017). Genome-wide variation patterns uncover the origin and selection in cultivated ginseng (Panax ginseng Meyer). Genome Biol. Evol. 9, 2159–2169. 10.1093/gbe/evx160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Li M. R., Shi F. X., Zhou Y. X., Li Y. L., Wang X. F., Zhang C., et al. (2015). Genetic and epigenetic diversities shed light on domestication of cultivated ginseng (Panax ginseng). Mol. Plant 8, 1612–1622. 10.1016/j.molp.2015.07.011 [DOI] [PubMed] [Google Scholar]
  47. Li R., Ma P.-F., Wen J., Yi T.-S. (2013). Complete sequencing of five Araliaceae chloroplast genomes and the phylogenetic implications. PLoS ONE 8:e78568. 10.1371/journal.pone.0078568 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Li R., Wen J. (2016). Phylogeny and diversification of Chinese Araliaceae based on nuclear and plastid DNA sequence data. J. Syst. Evol. 54, 453–467. 10.1111/jse.12196 [DOI] [Google Scholar]
  49. Liu C. X., Xiao P. G. (1992). Recent advances on ginseng research in China. J. Ethnopharmacol. 36, 27–38. 10.1016/0378-8741(92)90057-X [DOI] [PubMed] [Google Scholar]
  50. Lynch M., Koskella B., Schaack S. (2006). Mutation pressure and the evolution of organelle genomic architecture. Science 311, 1727–1730. 10.1126/science.1118884 [DOI] [PubMed] [Google Scholar]
  51. Mower J. P., Touzet P., Gummow J. S., Delph L. F., Palmer J. D. (2007). Extensive variation in synonymous substitution rates in mitochondrial genes of seed plants. BMC Evol. Biol. 7:135. 10.1186/1471-2148-7-135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Orr D., Alcântara A., Kapralov M. V., Andralojc J., Carmo-Silva E., Parry M. A. J. (2016). Surveying Rubisco diversity and temperature response to improve crop photosynthetic efficiency. Plant Physiol. 172, 707–717. 10.1104/pp.16.00750 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Parks M., Cronn R., Liston A. (2009). Increasing phylogenetic resolution at low taxonomic levels using massively parallel sequencing of chloroplast genomes. BMC Biol. 7:84. 10.1186/1741-7007-7-84 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Patel R. K., Jain M. (2012). NGS QC toolkit: a platform for quality control of next-generation sequencing data. PLoS ONE 7:e30619 10.1371/journal.pone.0030619 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Piot A., Hackel J., Christin P.-A., Besnard G. (2017). One-third of the plastid genes evolved under positive selection in PACMAD grasses. Planta 247, 255–266. 10.1007/s00425-017-2781-x [DOI] [PubMed] [Google Scholar]
  56. Rambaut A. (2009). FigTree, version 1.3. 1. Computer Program Distributed by the Author. Available Online at: http://tree.bio.ed.ac.uk/software/figtree/ (Accessed January 4, 2011).
  57. Richardson A. O., Rice D. W., Young G. J., Alverson A. J., Palmer J. D. (2013). The “fossilized” mitochondrial genome of Liriodendron tulipifera: ancestral gene content and order, ancestral editing sites, and extraordinarily low mutation rate. BMC Biol. 11:29. 10.1186/1741-7007-11-29 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Ronquist F., Teslenko M., Van Der Mark P., Ayres D. L., Darling A., Höhna S., et al. (2012). MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 61, 539–542. 10.1093/sysbio/sys029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Roux F., Mary-Huard T., Barillot E., Wenes E., Botran L., Durand S., et al. (2016). Cytonuclear interactions affect adaptive traits of the annual plant Arabidopsis thaliana in the field. Proc. Natl. Acad. Sci. U.S.A. 113, 3687–3692. 10.1073/pnas.1520687113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Schmieder R., Edwards R. (2011). Quality control and preprocessing of metagenomic datasets. Bioinformatics 27, 863–864. 10.1093/bioinformatics/btr026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Sharbrough J., Conover J. L., Tate J. A., Wendel J. F., Sloan D. B. (2017). Cytonuclear responses to genome doubling. Am. J. Bot. 104, 1277–1280. 10.3732/ajb.1700293 [DOI] [PubMed] [Google Scholar]
  62. Sherman-Broyles S., Bombarely A., Doyle J. (2017). Characterizing the allopolyploid species among the wild relatives of soybean: utility of reduced representation genotyping methodologies. J. Syst. Evol. 55, 365–376. 10.1111/jse.12268 [DOI] [Google Scholar]
  63. Shi F. X., Li M. R., Li Y. L., Jiang P., Zhang C., Pan Y. Z., et al. (2015). The impacts of polyploidy, geographic and ecological isolations on the diversification of Panax (Araliaceae). BMC Plant Biol. 15:297. 10.1186/s12870-015-0669-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Skippington E., Barkman T. J., Rice D. W., Palmer J. D. (2015). Miniaturized mitogenome of the parasitic plant Viscum scurruloideum is extremely divergent and dynamic and has lost all nad genes. Proc. Natl. Acad. Sci. U.S.A. 112, E3515–E3524. 10.1073/pnas.1504491112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Sloan D. B., Müller K., McCauley D. E., Taylor D. R., Štorchová H. (2012). Intraspecific variation in mitochondrial genome sequence, structure, and gene content in Silene vulgaris, an angiosperm with pervasive cytoplasmic male sterility. New Phytol. 196, 1228–1239. 10.1111/j.1469-8137.2012.04340.x [DOI] [PubMed] [Google Scholar]
  66. Sloan D. B., Triant D. A., Forrester N. J., Bergner L. M., Wu M., Taylor D. R. (2014). A recurring syndrome of accelerated plastid genome evolution in the angiosperm tribe Sileneae (Caryophyllaceae). Mol. Phylogenet. Evol. 72, 82–89. 10.1016/j.ympev.2013.12.004 [DOI] [PubMed] [Google Scholar]
  67. Sloan D. B., Triant D. A., Wu M., Taylor D. R. (2013). Cytonuclear interactions and relaxed selection accelerate sequence evolution in organelle ribosomes. Mol. Biol. Evol. 31, 673–682. 10.1093/molbev/mst259 [DOI] [PubMed] [Google Scholar]
  68. Smith D. R. (2011). Extending the limited transfer window hypothesis to inter-organelle DNA migration. Genome Biol. Evol. 3, 743–748. 10.1093/gbe/evr068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Smith D. R., Keeling P. J. (2015). Mitochondrial and plastid genome architecture: reoccurring themes, but significant differences at the extremes. Proc. Natl. Acad. Sci. U.S.A. 112, 10177–10184. 10.1073/pnas.1422049112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Soltis P. S., Marchant D. B., Van de Peer Y., Soltis D. E. (2015). Polyploidy and genome evolution in plants. Curr. Opin. Genet. Dev. 35, 119–125. 10.1016/j.gde.2015.11.003 [DOI] [PubMed] [Google Scholar]
  71. Soria-Hernanz D. F., Braverman J. M., Hamilton M. B. (2008). Parallel rate heterogeneity in chloroplast and mitochondrial genomes of Brazil nut trees (Lecythidaceae) is consistent with lineage effects. Mol. Biol. Evol. 25, 1282–1296. 10.1093/molbev/msn074 [DOI] [PubMed] [Google Scholar]
  72. Spoelhof J. P., Soltis P. S., Soltis D. E. (2017). Pure polyploidy: closing the gaps in autopolyploid research. J. Syst. Evol. 55, 340–352. 10.1111/jse.12253 [DOI] [Google Scholar]
  73. Spreitzer R. J., Peddi S. R., Satagopan S. (2005). Phylogenetic engineering at an interface between large and small subunits imparts land-plant kinetic properties to algal Rubisco. Proc. Natl. Acad. Sci. U.S.A. 102, 17225–17230. 10.1073/pnas.0508042102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Spreitzer R. J., Salvucci M. E. (2002). Rubisco: structure, regulatory interactions, and possibilities for a better enzyme. Annu. Rev. Plant Biol. 53, 449–75. 10.1146/annurev.arplant.53.100301.135233 [DOI] [PubMed] [Google Scholar]
  75. Turmel M., Otis C., Lemieux C. (2002). The chloroplast and mitochondrial genome sequences of the charophyte Chaetosphaeridium globosum: insights into the timing of the events that restructured organelle DNAs within the green algal lineage that led to land plants. Proc. Natl. Acad. Sci. U.S.A. 99, 11275–11280. 10.1073/pnas.162203299 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Wallet C., Le Ret M., Bergdoll M., Bichara M., Dietrich A., Gualberto J. M. (2015). The RECG1 DNA translocase is a key factor in recombination surveillance, repair, and segregation of the mitochondrial DNA in Arabidopsis. Plant Cell 27, 2907–2925. 10.1105/tpc.15.00680 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Wen J. (2001a). Species diversity, nomenclature, phylogeny, biogeography, and classification of the ginseng genus (Panax, L., Araliaceae), in Utilization of Biotechnological, Genetic and Cultural Approaches for North American and Asian Ginseng Improvement. Proceedings of the International Ginseng Workshop, ed Punja Z. K. (Vancouver, BC: Simon Fraser University Press; ), 67–88. [Google Scholar]
  78. Wen J. (2001b). Evolution of the Aralia-Panax complex (Araliaceae) as inferred from nuclear ribosomal ITS sequences. Edinb. J. Bot. 58, 183–200. 10.1017/S0960428601000610 [DOI] [Google Scholar]
  79. Wen J. (2011). Systematics and biogeography of Aralia, L. (Araliaceae): revision of Aralia sects. Aralia, Humiles, Nanae, and Sciadodendron. Contr. U.S. Natl. Herb. 57, 1–172. [Google Scholar]
  80. Wen J., Zimmer E. A. (1996). Phylogeny and biogeography of Panax, L.(the ginseng genus, Araliaceae): inferences from ITS sequences of nuclear ribosomal DNA. Mol. Phylogenet. Evol. 6, 167–177. 10.1006/mpev.1996.0069 [DOI] [PubMed] [Google Scholar]
  81. Wendel J. F., Jackson S. A., Meyers B. C., Wing R. A. (2016). Evolution of plant genome architecture. Genome Biol. 17:37. 10.1186/s13059-016-0908-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Weng M. L., Ruhlman T. A., Gibby M., Jansen R. K. (2012). Phylogeny, rate variation, and genome size evolution of Pelargonium (Geraniaceae). Mol. Phylogenet. Evol. 64, 654–670. 10.1016/j.ympev.2012.05.026 [DOI] [PubMed] [Google Scholar]
  83. Wicke S., Schneeweiss G. M., Müller K. F., Quandt D. (2011). The evolution of the plastid chromosome in land plants: gene content, gene order, gene function. Plant Mol. Biol. 76, 273–297. 10.1007/s11103-011-9762-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Yagi Y., Shiina T. (2014). Recent advances in the study of chloroplast gene expression and its evolution. Front. Plant. Sci. 5:61. 10.3389/fpls.2014.00061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Yang Z. (2007). PAML 4: phylogenetic analysis by maximum likelihood. Mol. Biol. Evol. 24, 1586–1591. 10.1093/molbev/msm088 [DOI] [PubMed] [Google Scholar]
  86. Yang Z., Wong W. S., Nielsen R. (2005). Bayes empirical Bayes inference of amino acid sites under positive selection. Mol. Biol. Evol. 22, 1107–1118. 10.1093/molbev/msi097 [DOI] [PubMed] [Google Scholar]
  87. Zhang D., Li W., Gao C., Liu Y., Gao L. Z. (2016). The complete plastid genome sequence of Panax notoginseng, a famous traditional Chinese medicinal plant of the family Araliaceae. Mitochondrial DNA 27, 3438–3439. 10.3109/19401736.2015.1063131 [DOI] [PubMed] [Google Scholar]
  88. Zhang D., Li W., Xia E. H., Zhang Q. J., Liu Y., Zhang Y., et al. (2017). The medicinal herb Panax notoginseng genome provides insights into ginsenoside biosynthesis and genome evolution. Mol. Plant. 10, 903–907. 10.1016/j.molp.2017.02.011 [DOI] [PubMed] [Google Scholar]
  89. Zhao Y., Yin J., Guo H., Zhang Y., Xiao W., Sun C., et al. (2015). The complete chloroplast genome provides insight into the evolution and polymorphism of Panax ginseng. Front. Plant Sci. 5:696. 10.3389/fpls.2014.00696 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Zhong B., Yonezawa T., Zhong Y., Hasegawa M. (2009). Episodic evolution and adaptation of chloroplast genomes in ancestral grasses. PLoS ONE 4:e5297. 10.1371/journal.pone.0005297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Zhu A., Guo W., Jain K., Mower J. P. (2014). Unprecedented heterogeneity in the synonymous substitution rate within a plant genome. Mol. Biol. Evol. 31, 1228–1236. 10.1093/molbev/msu079 [DOI] [PubMed] [Google Scholar]
  92. Zimorski V., Ku C., Martin W. F., Gould S. B. (2014). Endosymbiotic theory for organelle origins. Curr. Opin. Microbiol. 22, 38–48. 10.1016/j.mib.2014.09.008 [DOI] [PubMed] [Google Scholar]
  93. Zuo Y. J., Chen Z. J., Kondo K., Funamoto T., Wen J., Zhou S. L. (2011). DNA barcoding of Panax species. Planta Med. 77, 182–187. 10.1055/s-0030-1250166 [DOI] [PubMed] [Google Scholar]
  94. Zuo Y. J., Wen J., Ma J. S., Zhou S. L. (2015). Evolutionary radiation of the Panax bipinnatifidus species complex (Araliaceae) in the Sino-Himalayan region of eastern Asia as inferred from AFLP analysis. J. Syst. Evol. 53, 210–220. 10.1111/jse.12119 [DOI] [Google Scholar]
  95. Zuo Y. J., Wen J., Zhou S. L. (2017). Intercontinental and intracontinental biogeography of the eastern Asian–eastern North American disjunct Panax (the ginseng genus, Araliaceae), emphasizing its diversification processes in eastern Asia. Mol. Phylogenet. Evol. 117, 60–74. 10.1016/j.ympev.2017.06.016 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Average dead depth of the 11 Panax accessions in the chloroplast (A) and mitochondrial (B) genomes.

Click here for additional data file. (8.2MB, PDF)
Figure S2

Bayesian trees of the genus Panax based on the total (A) and genic (B) variants of mitochondrial genome. Numbers on each branch are the posterior probabilities.

Click here for additional data file. (133.2KB, PDF)
Figure S3

Variant distributions of chloroplast genome in the Panax species at the individual level. The color bars on the bottom represent the location of each gene in the chloroplast genome. Orders of these genes are the same as the Figure 2A.

Click here for additional data file. (9.3MB, PDF)
Figure S4

Variant distributions of mitochondrial genome in the Panax species at the individual level. The color bars on the bottom represent the location of each gene in the mitochondrial genome. Orders of these genes are the same as the Figure 2B.

Click here for additional data file. (9.8MB, PDF)
Table S1

Geographic locations of the 11 Panax accessions used in this study.

Click here for additional data file. (21.7KB, DOCX)
Table S2

Numbers of synonymous and non-synonymous sites for each gene of the chloroplast genome in Panax.

Click here for additional data file. (22.8KB, XLSX)
Table S3

Numbers of synonymous and non-synonymous sites for each gene of the mitochondrial genome in Panax.

Click here for additional data file. (43.1KB, XLSX)
Click here for additional data file. (1.2KB, ZIP)
Click here for additional data file. (15.2MB, ZIP)

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