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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2021.638230</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Population Transcriptomics Reveals Gene Flow and Introgression Between Two Non-sister Alpine Gentians</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Chunlin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/636508/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Wenjie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1195359/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Jianquan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/120605/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xi</surname> <given-names>Zhenxiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1225646/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Lei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/519176/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hu</surname> <given-names>Quanjun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/374792/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education and State Key Laboratory of Hydraulics and Mountain River Engineering, College of Life Sciences, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>State Key Laboratory of Grassland Agro-Ecosystems, College of Life Sciences, Lanzhou University</institution>, <addr-line>Lanzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alison G. Nazareno, Federal University of Minas Gerais, Brazil</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jacqueline Souza Lima, Federal University of Rio Grande do Sul, Brazil; Clarisse Palma-Silva, State University of Campinas, Brazil</p></fn>
<corresp id="c001">&#x002A;Correspondence: Quanjun Hu, <email>huquanjun@gmail.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Ecology and Evolution</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>02</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>638230</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Chen, Yang, Liu, Xi, Zhang and Hu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Chen, Yang, Liu, Xi, Zhang and Hu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Distributional shifts driven by Quaternary climatic oscillations have been suggested to cause interspecific hybridization and introgression. In this study, we aimed to test this hypothesis by using population transcriptomes and coalescent modeling of two alpine none-sister gentians. Previous studies suggested that historical hybridizations occurred between <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> in the high-altitude Qinghai-Tibet Plateau although both species are not sister to each other with the most recent divergence. In the present study, we sequenced transcriptomes of 33 individuals from multiple populations of <italic>G. siphonantha</italic> and <italic>G. straminea</italic>. The two species are well delimited by nuclear genomic SNPs while phylogenetic analyses of plastomes clustered one <italic>G. straminea</italic> individual into the <italic>G. siphonantha g</italic>roup. Further population structure analyses of the nuclear SNPs suggested that two populations of <italic>G. siphonantha</italic> were admixed with around 15% ancestry from <italic>G. straminea.</italic> These analyses suggested genetic introgressions from <italic>G. straminea</italic> to <italic>G. siphonantha.</italic> In addition, our coalescent-based modeling results revealed that gene flow occurred between the two species since Last Glacier Maximum after their initial divergence, which might have leaded to the observed introgressions. Our results underscore the significance of transcriptome population data in determining timescale of interspecific gene flow and direction of the resulting introgression.</p>
</abstract>
<kwd-group>
<kwd>gene flow</kwd>
<kwd>introgression</kwd>
<kwd>interspecific hybridization</kwd>
<kwd><italic>Gentiana siphonantha</italic></kwd>
<kwd><italic>Gentiana straminea</italic></kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="9"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Interspecific hybridization has facilitated the movement of genes (nuclear and/or cytoplasmic) between species, which is increasingly being detected in a variety of animal and plant groups, such as butterflies (<xref ref-type="bibr" rid="B32">Pardo-Diaz et al., 2012</xref>), humans (<xref ref-type="bibr" rid="B18">Huerta-S&#x00E1;nchez et al., 2014</xref>), poplars (<xref ref-type="bibr" rid="B38">Suarez-Gonzalez et al., 2016</xref>), and sunflowers (<xref ref-type="bibr" rid="B31">Owens et al., 2016</xref>). Hybridization and the resulting introgression can potentially blur species boundaries, and may drive rare species to extinction through genetic swamping (<xref ref-type="bibr" rid="B19">Huxel, 1999</xref>; <xref ref-type="bibr" rid="B39">Todesco et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Ma et al., 2019</xref>). Such hybridization and introgression primarily occur between closely related species, especially for lineages that have not yet evolved complete reproductive isolation (<xref ref-type="bibr" rid="B4">Confer et al., 2020</xref>). For example, hybridization and introgression have been observed between two subspecies that have been diverging in response to ecological selection (<xref ref-type="bibr" rid="B2">Anad&#x00F3;n et al., 2015</xref>) and between two allopatric sibling species resulted from their secondary contact caused by geographic range expansion (<xref ref-type="bibr" rid="B46">Zamudio and Savage, 2003</xref>).</p>
<p>The Qinghai&#x2013;Tibet Plateau <italic>sensu lato</italic> (QTP<italic>sl</italic>; <xref ref-type="bibr" rid="B25">Liang et al., 2018</xref>) is the world&#x2019;s highest and largest plateau, with an average elevation exceeding 4,500 m. For plants occurring in the QTP<italic>sl</italic>, it has been suggested that introgression may be more common than previously appreciated, particularly since the Last Glacial Maximum (LGM) due to postglacial range expansion (<xref ref-type="bibr" rid="B26">Liu et al., 2014</xref>). Most of these studies, however, have relied on few genetic markers. For example, <xref ref-type="bibr" rid="B17">Hu et al. (2016)</xref> conducted a population genetic survey of two alpine gentians (<italic>Gentiana siphonantha</italic> Maxim. ex Kusn. and <italic>G. straminea</italic> Maxim.) based on one nuclear (ITS) and two plastid loci (<italic>trnL</italic>-<italic>trnF</italic> and <italic>trnS</italic>-<italic>trnG</italic>). Their results suggested that hybridization and subsequent introgression led to the sharing of a chloroplast haplotype.</p>
<p>Both <italic>G</italic>. <italic>siphonantha</italic> and <italic>G</italic>. <italic>straminea</italic> belong to the section <italic>Cruciata</italic> Gaudin (<italic>Gentiana</italic> L.; Gentianaceae), which includes 22 extant species that diversified during the Pliocene (<xref ref-type="bibr" rid="B48">Zhang et al., 2009</xref>). <italic>G</italic>. <italic>siphonantha</italic> occurs only in the northeastern QTP<italic>sl</italic>, while <italic>G</italic>. <italic>straminea</italic> is widely distributed throughout the QTP<italic>sl</italic>. Thus, their natural distribution ranges overlap in the northeastern QTP<italic>sl</italic>, with a few geographic locations where they occur sympatrically (<xref ref-type="bibr" rid="B17">Hu et al., 2016</xref>). A recent phylotranscriptomic study has shown that these two gentians are not sister to each other (<xref ref-type="bibr" rid="B3">Chen et al., 2020</xref>), which can be well distinguished based on the shape of the inflorescence, the length of the calyx tube, and the color of the corolla (<xref ref-type="fig" rid="F1">Figure 1</xref>). The flowers of <italic>G</italic>. <italic>siphonantha</italic> are crowded into terminal clusters, the calyx tube is 4&#x2013;6 mm long, and the color of the corolla is dark blue-purple. In contrast, the flowers of <italic>G</italic>. <italic>straminea</italic> are arranged in lax cymes, the calyx tube is 15&#x2013;28 mm long, and the color of the corolla ranges from white&#x2013;green to yellow&#x2013;green (<xref ref-type="bibr" rid="B15">Ho and Liu, 2001</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Map showing the geographic distribution of <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> populations collected and the photos of the two species. <bold>(A)</bold> The distribution of <italic>G. siphonantha</italic> and <italic>G. straminea</italic>. Map on top left shows the natural distribution of the two species (shadowed areas). Species tree on top right shows the phylogenetic position of the two species from <xref ref-type="bibr" rid="B3">Chen et al. (2020)</xref>; <bold>(B)</bold> <italic>G. straminea</italic>; <bold>(C)</bold> <italic>G. straminea</italic>.</p></caption>
<graphic xlink:href="fevo-09-638230-g001.tif"/>
</fig>
<p>Previous field studies have demonstrated that the flowers of <italic>G</italic>. <italic>siphonantha</italic> and <italic>G</italic>. <italic>straminea</italic> are both protandrous and herkogamous to prevent self-pollination (<xref ref-type="bibr" rid="B14">He and Liu, 2004</xref>; <xref ref-type="bibr" rid="B6">Duan et al., 2005</xref>; <xref ref-type="bibr" rid="B16">Hou et al., 2008</xref>). Despite the obvious dissimilarity in floral morphology, a single species of bumblebee (i.e., <italic>Bombus sushkini</italic> Skorikov) has been identified as the most effective pollinator for both gentians (<xref ref-type="bibr" rid="B14">He and Liu, 2004</xref>; <xref ref-type="bibr" rid="B6">Duan et al., 2005</xref>; <xref ref-type="bibr" rid="B16">Hou et al., 2008</xref>). And there is increasing evidence to suggest that such a pollinator sharing could increase the possibility of gene flow between plant species (<xref ref-type="bibr" rid="B40">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="B44">Yan et al., 2017</xref>). In addition, a few natural hybrids between <italic>G</italic>. <italic>siphonantha</italic> and <italic>G</italic>. <italic>straminea</italic> have been reported in their sympatric regions (<xref ref-type="bibr" rid="B24">Li et al., 2008</xref>). Population transcriptomics has been widely employed to infer the timing and prevalence of gene flow induced by inter-lineage hybridization (<xref ref-type="bibr" rid="B36">Ru et al., 2018</xref>; <xref ref-type="bibr" rid="B28">Ma et al., 2019</xref>; <xref ref-type="bibr" rid="B42">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B22">Li et al., 2020</xref>). Here, we aimed to address (i) whether gene flow between <italic>G</italic>. <italic>siphonantha</italic> and <italic>G</italic>. <italic>straminea</italic> can be detected using population transcriptomic data and (ii) whether gene flow between these two species is related to range expansion.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Materials and RNA Sequencing</title>
<p>Both diploids and tetraploids have been reported for <italic>Gentiana straminea</italic>, while only diploids for <italic>G. siphonantha</italic> (<xref ref-type="bibr" rid="B45">Yuan, 1993</xref>). To ensure the accuracy in identifying orthologous genes, we only sampled diploids of <italic>G. straminea</italic> from three geographic locations with known karyotype information. For <italic>G. siphonantha</italic>, we sampled individuals from five geographic locations (<xref ref-type="fig" rid="F1">Figure 1</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table S1</xref>). We collected the materials of the two species from one sympatric site and all individuals there were found to have very clear morphological delimitations without morphologically intermediate hybrids as found before in another sympatric site (<xref ref-type="bibr" rid="B24">Li et al., 2008</xref>). The collected fresh leaves were immediately frozen in liquid nitrogen and then stored in refrigerator (&#x2212;80&#x00B0;C) before RNA extraction. Total RNA was isolated using TRIzol reagent (Thermo Fisher Scientific, Waltham, MA, United States), and residual DNA was removed using TURBO DNA-free Kit (Thermo Fisher Scientific, Waltham, MA, United States). Double-strand cDNA was then synthesized from total RNA, and sequenced on the Illumina HiSeq X Ten platform with 150 bp paired-end reads. Adapter and low-quality reads were filtered according to <xref ref-type="bibr" rid="B36">Ru et al. (2018)</xref> and all sequencing data were deposited in NCBI under BioProject <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA682483">PRJNA682483</ext-link>. Transcriptomes of <italic>G. lhassica</italic> Burkill and <italic>G. waltonii</italic> Burkill from the same section, were downloaded and included as outgroups (data retrieved from NCBI Sequence Archive [SRA] <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="SRR9856857">SRR9856857</ext-link> and <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="SRR9856832">SRR9856832</ext-link>).</p>
</sec>
<sec id="S2.SS2">
<title>Reference Assembly and Reads Mapping</title>
<p>Reference transcriptome was assembled by Trinity v2.8.4 (<xref ref-type="bibr" rid="B13">Grabherr et al., 2011</xref>) from the previously sequenced transcriptome of <italic>G. straminea</italic> (<xref ref-type="bibr" rid="B3">Chen et al., 2020</xref>) and only the longest isoforms were retained. The redundancy was evaluated using CD-HIT-EST v4.6.8 (W. <xref ref-type="bibr" rid="B23">Li and Godzik, 2006</xref>). For each sequenced individual, clean reads were mapped to the reference transcriptome and plastome of <italic>G. officinalis</italic> Harry Sm., respectively, using BWA-MEM v0.7.17 (<xref ref-type="bibr" rid="B20">Li, 2013</xref>). Duplicates were removed using Picard v2.18.11<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>, and the IndelRealigner module from the Genome Analysis Toolkit v3.8.1 (<xref ref-type="bibr" rid="B29">McKenna et al., 2010</xref>) was used to perform local realignment of reads around putative indels. SNPs were then called using mpileup in SAMtools v1.5 (<xref ref-type="bibr" rid="B21">Li et al., 2009</xref>). Here, the base quality and mapping quality were set to 20 and 30, respectively, and only those SNPs with a minimum quality score of 10 and a minimum depth of 5&#x00D7; were retained. In addition, SNPs at or within 5 bp from any indels were removed and those with minor allele frequency (MAF) &#x003C;5% were also removed. Variant sites with significant deviation from Hardy-Weinberg equilibrium (<italic>P</italic> = 0.001) were excluded.</p>
</sec>
<sec id="S2.SS3">
<title>Genetic Differentiation and Structure</title>
<p>Maximum likelihood phylogeny was estimated using RAxML (<xref ref-type="bibr" rid="B37">Stamatakis, 2006</xref>) with the GTRGAMMA model, and bootstrap support was estimated using 100 bootstrap replicates. Genetic structure of the two species was assessed via ADMIXTURE analysis and principal components analysis (PCA) with the filtered SNPs. We applied PLINK v1.07 (<xref ref-type="bibr" rid="B35">Purcell et al., 2007</xref>; <xref ref-type="bibr" rid="B5">Danecek et al., 2011</xref>) with parameter&#x2014;indep-pairwise 50 5 0.4 to reduce the linkage disequilibrium effect. SmartPCA from EIGENSOFT v7.2.1 (Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, United States) was used to conduct PCA analysis (<xref ref-type="bibr" rid="B34">Price et al., 2006</xref>). The ancestry of each individual was evaluated by ADMIXTURE v1.3.0 (<xref ref-type="bibr" rid="B1">Alexander and Lange, 2011</xref>) and the varying group number (<italic>K</italic>) was set from 1 to 5. The optimal <italic>K</italic> was determined by lower cross-error validation. Because the individuals of <italic>G. siphonantha</italic> collected from the two southern sites showed some ancestry from <italic>G. straminea</italic>, we estimated the genetic differentiation (<italic>F</italic><sub>ST</sub>, <xref ref-type="bibr" rid="B43">Weir and Cockerham, 1984</xref>) among the northern and the southern individuals of <italic>G. siphonantha</italic> and <italic>G. straminea</italic> using Vcftools v0.1.15 (<xref ref-type="bibr" rid="B5">Danecek et al., 2011</xref>), respectively. Meanwhile, the genetic differentiations among individuals collected from all eight sampling locations were also estimated.</p>
</sec>
<sec id="S2.SS4">
<title>Demographic History Inference and Hybridization</title>
<p><italic>Fastsimcoal2</italic> was employed to infer the times of divergence and gene flow based on the multidimensional site frequency spectrum for <italic>G. siphonantha</italic> and <italic>G. straminea</italic> (<xref ref-type="bibr" rid="B11">Fagundes et al., 2007</xref>; <xref ref-type="bibr" rid="B10">Excoffier and Foll, 2011</xref>). In order to mitigate the effects induced by selection, we only analyzed the SNPs at fourfold degenerate sites (with no missing data across all individuals). In addition, SNPs within 5 bp of each other and those that significantly deviated (<italic>P</italic> &#x003C; 0.05) from Hardy-Weinberg equilibrium were also excluded. We then calculated the mutation rate via fossil-calibrated approach (i.e., &#x03BC; = D<sup>&#x2217;</sup>g/(2<sup>&#x2217;</sup>T), where D is the observed frequency of pairwise differences between two species, T is the estimated divergence time and g is the generation time for two species). To estimate D, the 1:1 orthologs between <italic>Swertia macrosperma</italic> C. B. Clarke (<xref ref-type="bibr" rid="B3">Chen et al., 2020</xref>) and <italic>G. straminea</italic>, <italic>G. siphonantha</italic>, respectively, were identified by Orthofinder version 2.2.3 (<xref ref-type="bibr" rid="B8">Emms and Kelly, 2015</xref>), which were followed by sequence alignment via Muscle version 3.8.1 (<xref ref-type="bibr" rid="B7">Edgar, 2004</xref>). The fourfold degenerate sites were extracted from the alignments, which was followed by pairwise difference calculation between two species. The divergence time was 30.4 Mya between <italic>Swertia</italic> and <italic>Gentiana</italic> (<xref ref-type="bibr" rid="B3">Chen et al., 2020</xref>). Based on the Ds and divergence times, estimated mutation rates were <italic>S. macrosperma</italic>-<italic>G. siphonantha</italic>, 8.38 &#x00D7; 10<sup>&#x2013;9</sup> mutations per site per generation and <italic>S. macrosperma</italic>-<italic>G. straminea</italic>, 7.89 &#x00D7; 10<sup>&#x2013;9</sup> mutations per site per generation, respectively. We used the average of these two mutations rates, that is, 8.13 &#x00D7; 10<sup>&#x2013;9</sup> mutations per site per generation to infer the demographic history. Parameter estimates were obtained via the composite ML approach with 4 hypothesized models: continuous gene flow between the two species since their initial divergence (TDIV) from the common ancestor (Model 1), gene flow between the two species since their initial divergence (TDIV) to a specific time (TCON) in the past (Model 2), the second gene flow between the two species after their initial divergence (TCON) without gene flow (Model 3) and no gene flow between the two species since they diverged (Model 4). Overall ML estimates were obtained from 40 independent runs, with 50,000&#x2013;100,000 coalescent simulations and 10&#x2013;40 likelihood maximization algorithm cycles. Akaike&#x2019;s information criterion and Akaike&#x2019;s weight of evidence were employed to assess the relative fit of each model (<xref ref-type="bibr" rid="B9">Excoffier et al., 2013</xref>).</p>
<p>We also estimated the presence of gene flow using Treemix v.1.13 (<xref ref-type="bibr" rid="B33">Pickrell and Pritchard, 2012</xref>). First, the individuals of <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> collected from eight locations and the two outgroup species were pooled into nine groups (i.e., eight from the respective individuals collected from eight locations and one from the two outgroup species). Then, the presence of different number of migration events (<italic>m</italic> = 0&#x2013;5, each with 5 replicates.) were tested with a block size of 100 SNPs (<italic>k</italic> = 100). Meanwhile, the optimal number of migration events were determined by the R package OptM with the linear method (Fitak, unpublished).</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Transcriptomic Reads Sequencing and Reference Assembly</title>
<p>Short reads from 33 individuals were newly generated in this research and the average number of reads per individual was 21,461,975 (ranging from 18,327,655 to 26,411,399). Meanwhile, we also included transcriptomic reads from two species (<italic>Gentiana lhsicca</italic> and <italic>G. waltonii</italic>) generated from a previous research as outgroups (<xref ref-type="bibr" rid="B3">Chen et al., 2020</xref>). In addition, transcriptomic reads of <italic>G. straminea</italic> generated from this study were used to assemble the reference transcriptome. The assembled reference transcriptome had a contig N50 of 1,784 bp and 9.90% missing BUSCOs, suggesting a well assembled reference for further analysis.</p>
</sec>
<sec id="S3.SS2">
<title>Variants Calling and Population Genetic Structure</title>
<p>After filtering procedure described, we retained 698,375 SNPs for population structure analysis of the two species. Over half of all SNPs (383,173) are shared among the individuals of <italic>Gentiana siphonantha</italic> collected from northern and southern area and <italic>G. straminea</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S1</xref>). Phylogenetic analysis of whole transcriptomic SNPs revealed that <italic>G. siphonantha</italic> and <italic>G. straminea</italic> forms two strongly supported (i.e., &#x2265;90 bootstrap support) monophyletic clades, respectively (<xref ref-type="fig" rid="F2">Figure 2</xref>). However, one individual of <italic>G. straminea</italic> clustered with <italic>G. siphonantha</italic> in our plastome SNP-based phylogenetic analysis (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S2</xref>). Three clusters were identified by PCA analysis, with 4.45 and 2.14% of the total variance explained by the first two components, respectively, among the identified clusters, one consists of all individuals of <italic>G. straminea</italic> collected, one comprises the individuals of <italic>G. siphonantha</italic> collected from three northern locations of and the third contains the individuals of <italic>G. siphonantha</italic> collected from two southern locations that are sympatric or parapatric to <italic>G. straminea</italic> (<xref ref-type="fig" rid="F2">Figure 2</xref>). Cross-validation error analysis shows that two genetic groups (<italic>K</italic> = 2) is the optimal classification for the ADMIXTURE analysis (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S3</xref>). When <italic>K</italic> = 2, <italic>G. straminea</italic> and the individuals of <italic>G. siphonantha</italic> collected from northern area comprise two distinct clusters and the southern individuals of <italic>G. siphonantha</italic> collected shows admixture pattern with 85% of ancestry from <italic>G. siphonantha</italic> and 15% of ancestry from <italic>G. straminea</italic>. When <italic>K</italic> = 3, the individuals of <italic>G. straminea</italic> formed two distinctive clusters and the individuals of northern <italic>G. siphonantha</italic> formed the third cluster, while all individuals of southern <italic>G. siphonantha</italic> contained about 75% ancestry of <italic>G. straminea</italic> and 25% ancestry from the two clusters of <italic>G. straminea</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S4</xref>). Transcriptome-wide differentiation (<italic>F</italic><sub>ST</sub>) between two relatively pure cluster for <italic>G. siphonantha</italic> and <italic>G. straminea</italic> was greater than that between the southern individuals of <italic>G. siphonantha</italic> and <italic>G. straminea</italic> (<xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S5</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Phylogenetic and population genetic analyses of <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> based on SNPs. <bold>(A)</bold> Maximum likelihood- based phylogenetic analysis of the populations of <italic>G. siphonantha</italic> and <italic>G. straminea.</italic> <bold>(B)</bold> Population structure plots with <italic>K</italic> = <italic>2</italic>. <bold>(C)</bold> Principal component analysis plot of the first two components.</p></caption>
<graphic xlink:href="fevo-09-638230-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Distribution of genetic differentiation (<italic>F</italic><sub>ST</sub>) among the northern and southern populations of <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> based on nuclear SNP dataset.</p></caption>
<graphic xlink:href="fevo-09-638230-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Demographic History and Hybridization</title>
<p>Coalescent-based simulations were employed to estimate the levels of gene flow among the two species identified (<xref ref-type="bibr" rid="B9">Excoffier et al., 2013</xref>). Of the four candidate migration models (<xref ref-type="fig" rid="F4">Figure 4</xref>) explored, the best-fitting one identified (i.e., maximum Akaike&#x2019;s weight value, <xref ref-type="supplementary-material" rid="DS1">Supplementary Table S2</xref>) includes two out of the four possible migration (<xref ref-type="fig" rid="F4">Figure 4</xref>). This best-fit model (model 3) revealed the second gene flow between <italic>G. siphonantha</italic> and <italic>G. straminea</italic> since 20,000 years ago after their initial divergence. The estimated gene flow from <italic>G. straminea</italic> to <italic>G. siphonantha</italic> was much higher than vice versa (i.e., 7.70 &#x00D7; 10<sup>&#x2013;5</sup> vs. 1.16 &#x00D7; 10<sup>&#x2013;5</sup>, <xref ref-type="fig" rid="F4">Figure 4</xref>). The OptM analysis showed that two migration events were the optimal estimation (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S6A</xref>), under which estimation, the migration events were detected from individuals of <italic>Gentiana siphonantha</italic> collected from one location to individuals of <italic>G. straminea</italic> collected from two locations (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S6B</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Schematic of demographic history of <italic>Gentiana siphonantha</italic> and <italic>G. straminea.</italic> Graphic summary of the models (i.e., model 1: there has been continuous gene flow since TDIV; model 2: there had been gene flow between the two species from TDIV to TCON; model 3: there has been gene flow from TCON to present; Model 4: there has been no gene flow between the two species since TDIV) explored were shown in the upper part, where ANC denotes the ancestor of the two species, TDIV means the time of divergence between the two species, TCON stands for a specific time in the past when there was gene flow between the two species. The best-fitting model was shown in detail in the lower part of the photo, where the values close to arrows indicate migration rate per generation and both the divergence times and estimated population size are also indicated.</p></caption>
<graphic xlink:href="fevo-09-638230-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="S4">
<title>Discussion</title>
<p>A previous research showed that the individuals of <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> occurred sympatrically or parapatrically might have experienced historical hybridization and gene flow, which could have resulted in genetic homogenization at ITS (Internal Transcribed Spacer DNA) loci and shared cpDNA haplotypes despite well morphological delimitations (<xref ref-type="bibr" rid="B17">Hu et al., 2016</xref>). Except for hybridization after speciation due to the second contact, incomplete lineage sorting could also explain these observed genetic variations between and within each morphological units (<xref ref-type="bibr" rid="B41">Wang et al., 2018</xref>; <xref ref-type="bibr" rid="B47">Zhang et al., 2019</xref>). If hybridization did occur in the contact zone in the current or past of the two species, such introgressions could be clearly detected by population genomic data. We sampled individuals of <italic>G. siphonantha</italic> that are geographically isolated from <italic>G. straminea</italic> and that occur sympatrically with <italic>G. straminea</italic>. Our results clearly support that hybridization did occur between these two non-sister species in the following three aspects. First, our population structure analyses clearly suggested that southern individuals of <italic>G. siphonantha</italic> collected with overlapped distributions to <italic>G. straminea</italic> contained genomic introgressions from this species. Second, our plastome-SNP based phylogenetic analysis suggested that one individual of <italic>G. straminea</italic> with very clear morphological delimitation nested deeply inside <italic>G. siphonantha</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S2</xref>). This phylogenetic relationship suggested that hybridization resulted in a plastome introgression from <italic>G. straminea</italic> to <italic>G. siphonantha.</italic> Finally, our coalescent simulations of genomic variations within and between two species suggested that continuous gene flow occurred between the two species since 20,000 years ago. This gene flow was caused by the interspecific hybridizations, which might have also leaded to homogenization of the nuclear ITS sequences of the two species found before (<xref ref-type="bibr" rid="B17">Hu et al., 2016</xref>). This likely hybridization was also supported by the field pollination observations. In the sympatric distribution of both species, they shared the same pollinators and overlapped flowering time although <italic>G. straminea</italic> flowers usually early than <italic>G. siphonantha</italic> (<xref ref-type="bibr" rid="B16">Hou et al., 2008</xref>).</p>
<p>In addition, we further found asymmetrical gene flow between the two species, mainly from the widespread <italic>G. straminea</italic> to the narrowly distributed <italic>G. siphonantha.</italic> This asymmetry was indicated not only by estimated gene flow between the two species (<xref ref-type="fig" rid="F4">Figure 4</xref>), but also based on genomic composition of the two species: only <italic>G. straminea</italic>-specific mutations were detected in individuals of <italic>G. siphonantha</italic> with sympatric or parapatric distributions. In addition, plastomes were maternally inherited in the family Genetianaceae (<xref ref-type="bibr" rid="B27">Lu et al., 2015</xref>). One <italic>G. straminea</italic> individual within the <italic>G. siphonantha</italic> plastome clade suggests that <italic>G. siphonantha</italic> had served as the maternal parent during the past hybridization. However, this individual clustered with <italic>G. straminea</italic> in the nuclear SNP phyloeny, suggesting the repeated backcrossing and strong gene flow with <italic>G. straminea</italic>. Therefore, it is likely that the widespread <italic>G. straminea</italic> with a large number of individuals invaded the already occupied region by <italic>G. siphonantha</italic> and resulted in such an asymmetrical and secondary gene flow after two species had diverged initially without gene flow. Meanwhile, a previous phylogeographic study of the aridity-tolerant <italic>G. straminea</italic> supports this hypothesis. Phylogeographic analyses and ecological niche modeling demonstrated that this species survived and diversified in the central QTP<italic>sl</italic>, but expanded to the QTP<italic>sl</italic> edges during Quaternary glacial oscillations (<xref ref-type="bibr" rid="B27">Lu et al., 2015</xref>). Thus, the expanded distribution of <italic>G. straminea</italic> might have reached the northeast QTP<italic>sl</italic> where <italic>G. siphonantha</italic> occurred during the Last Glacial Maximum (LGM, 20,000 year ago). The following overlapped distribution of these two species made it possible for them to hybridize with each other and resulted in the secondary gene flow. In addition, such hybridizations might have also occurred between closely related species or intra-specific lineages of other genera in the QTP<italic>sl</italic> because of the Quaternary climatic oscillations (<xref ref-type="bibr" rid="B26">Liu et al., 2014</xref>). For example, hybridizations occurred and even one hybrid lineage originated in the genus <italic>Cupressus</italic> when two parental lineages overlapped their distributions during this stage (<xref ref-type="bibr" rid="B22">Li et al., 2020</xref>).</p>
<p>Our results suggest evolution and diversification of plants living in high mountains such as Qinghai-Tibet Plateau could be similar to the &#x201C;flickering connectivity system&#x201D; (FCS) of the north Andean p&#x00E1;ramos (<xref ref-type="bibr" rid="B12">Flantua et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Muellner-Riehl, 2019</xref>). The FCS suggests repeatedly isolate and reconnect adjacent populations potentially accelerating speciation events. Our results indicate the secondary contact and followed hybridization promoted microevolution in mountain habitats, which could have impact on the diverging trajectory of the two species. It should be noted that only individuals from few locations were used for the two species in the present study because of the high cost and unknown ploidies of the unsampled sites for the widespread <italic>G. straminea</italic>. Further studies with wider sampling range and genome-wide data will be needed to reveal the detailed dynamic settings of evolution and genomic context linked to response to climate changes in Qinghai-Tibet Plateau. Overall, our population genomic analyses based on transcriptomes of 33 individuals from multiple locations of <italic>Gentiana siphonantha</italic> and <italic>G. straminea</italic> supported their historical hybridizations since the LGM. These hybridizations leaded to the asymmetrical gene flow from the widespread <italic>G. straminea</italic> to narrowly distributed <italic>G. siphonantha</italic> possibly because of their contrasted occurrence frequencies in the field. These findings are consistent with a previous phylogeographic study that <italic>G. straminea</italic> expanded its distributional range from the central to northeast QTP<italic>sl</italic>. Our results highlight the significance of population genomic data in determining timescale and direction of gene flow during interspecific historical hybridization.</p>
</sec>
<sec id="S5">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA682483">https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA682483</ext-link>.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>QH, JL, and CC designed the research. CC and LZ carried out the field research and collected the samples. CC and WY analyzed the data. CC, QH, JL, and ZX wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>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.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by grants from the National Natural Science Foundation of China (31700323 and 31590821).</p>
</fn>
</fn-group>
<sec id="S8" sec-type="supplementary material"><title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2021.638230/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2021.638230/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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