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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2024.1468395</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Strict biennial lifecycle and anthropogenic interventions affect temporal genetic differentiation in the endangered endemic plant, <italic>Pedicularis hallaisanensis</italic>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kim</surname>
<given-names>Seongjun</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2666446"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Byoung-Doo</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2797866"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Chang Woo</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Park</surname>
<given-names>Hwan-Joon</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hwang</surname>
<given-names>Jung Eun</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Park</surname>
<given-names>Hyeong Bin</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Young-Joong</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jeon</surname>
<given-names>Daeyoung</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Yoon</surname>
<given-names>Young-Jun</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib-group>
<aff id="aff1">
<institution>Research Center for Endangered Species, National Institute of Ecology</institution>, <addr-line>Yeongyang, Gyeongbuk</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Praveen Dhyani, University of Koblenz, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Arun K. Jugran, Govind Ballabh Pant National Institute of Himalayan Environment and Sustainable Development, India</p>
<p>Michele Wyler, MWSchmid GmbH, Switzerland</p>
<p>C&#xe9;sar Mar&#xed;n, Santo Tom&#xe1;s University, Chile</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Seongjun Kim, <email xlink:href="mailto:dao1229@nie.re.kr">dao1229@nie.re.kr</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1468395</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Kim, Lee, Lee, Park, Hwang, Park, Kim, Jeon and Yoon</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Kim, Lee, Lee, Park, Hwang, Park, Kim, Jeon and Yoon</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>Strict biennials are among the least known lifecycles in plant ecology due to their rarity in nature, and their population genetics still remain unknown. The present study addressed the strict biennial lifecycle and associated population genetics of <italic>Pedicularis hallaisanensis</italic>, an endangered endemic plant in Korea. All <italic>P. hallaisanensis</italic> individuals were counted in August from 2021 to 2023 in the wild population of Gayasan National Park, and lifecycle and morphological changes were monitored monthly. <italic>A de novo</italic> draft genome and single nucleotide polymorphism (SNP) analysis were used to study the population&#x2019;s genetic structure. <italic>P. hallaisanensis</italic> strictly requires a 2-year lifecycle per generation, including 8 and 10 months of growing periods as a first-year seedling and second-year adult, respectively. Facultative annual and perennial lifecycles were undetected, resulting in odd-year and even-year flowering cohorts. Permutational multivariate analysis of variance on the detected 3,716 SNPs demonstrated that the flowering group (<italic>p</italic> &lt; 0.005), microhabitat (<italic>p</italic> &lt; 0.001), and their interaction (<italic>p</italic> &lt; 0.01) had a significant effect on genetic structure, which was differentiated between odd-year and even-year flowering cohorts. Other cluster analyses also showed that a microhabitat under historical anthropogenic interventions contained lowered genetic diversity due to a decreased genetic distance between odd-year and even-year flowering cohorts (<italic>p</italic> &lt; 0.05). Overall, the findings suggest that excessive anthropogenic interventions should be avoided to preserve genetic diversity in the wild <italic>P. hallaisanensis</italic> population. Moreover, conservation programs for similar biennial plants should collect wild breeds from both odd-year and even-year flowering cohorts to improve the genetic diversity of artificially propagated individuals.</p>
</abstract>
<kwd-group>
<kwd>anthropogenic intervention</kwd>
<kwd>biennial plant</kwd>
<kwd>genetic diversity</kwd>
<kwd>genotyping-by-sequencing</kwd>
<kwd>hemiparasitic herb</kwd>
<kwd>lousewort</kwd>
<kwd>single nucleotide polymorphism</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="9"/>
<word-count count="3793"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Functional Plant Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The lifecycle of endangered plants is important for conservation programs, as it reflects the legacy of adaptations to the surrounding environment (<xref ref-type="bibr" rid="B32">Niklas and Kutschera, 2010</xref>). The lifecycle of any plant species results from the optimization of resource allocation and utilization to enhance its fitness to the given habitat conditions (<xref ref-type="bibr" rid="B24">Kenrick, 2017</xref>). Since lifecycle strategy determines population dynamics and associated genetic diversity, understanding the lifecycle of endangered plants is critical for identifying potential bottlenecks in population growth and setting conservation priorities to sustain wild populations and habitats (<xref ref-type="bibr" rid="B4">Aronne, 2017</xref>; <xref ref-type="bibr" rid="B45">Tsuzuki et&#xa0;al., 2022</xref>). Although classifying lifecycles is primarily based on expected lifespan (annual, biennial, and perennial) and the total number of reproductive bouts throughout the lifespan (monocarpic and polycarpic), the diversity found in nature has caused many intermediate, idiosyncratic lifecycle patterns (e.g., facultative annual) of endangered plant species (<xref ref-type="bibr" rid="B16">Friedman, 2020</xref>).</p>
<p>Strict biennials are one of the least understood lifecycles in plant ecology because of their rarity under natural conditions (<xref ref-type="bibr" rid="B16">Friedman, 2020</xref>; <xref ref-type="bibr" rid="B47">Viswanathan and Aarssen, 2000</xref>). Several studies have described the lifecycle of biennial plants, such as <italic>Pedicularis sylvatica</italic> (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>) and <italic>Gentianella campestris</italic> (<xref ref-type="bibr" rid="B17">Glav Lundin and Eriksson, 2021</xref>). Such species strictly require a 2-year growing period prior to reproduction and death, in contrast to other facultative biennials, like winter annuals and monocarpic perennials, whose lifespan and reproduction depend on climatic event or growth rate (<xref ref-type="bibr" rid="B7">Bradshaw, 1978</xref>; <xref ref-type="bibr" rid="B44">Ter Bort et&#xa0;al., 1980</xref>; <xref ref-type="bibr" rid="B23">Kelly, 1985</xref>). This age dependence for reproduction also leads to the coexistence of two age classes (first-year seedling and second-year adult) within a single habitat (<xref ref-type="bibr" rid="B27">Kisdi, 2012</xref>), as well as the potential differentiation of cohorts flowering in either odd or even years (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>).</p>
<p>Recent advancements in genotyping-by-sequencing (GBS) have expanded knowledge regarding the population structure and genetic diversity of endangered plant species through fast, reliable processes at a low cost. This technique has helped identify genotype cohorts within a given endangered species according to single nucleotide polymorphism (SNP) loci (<xref ref-type="bibr" rid="B8">Cai et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Wang et&#xa0;al., 2024</xref>). Nonetheless, GBS approaches for endangered strict biennial plants have principally focused on genetic variations across multiple habitats and population sizes, without considering their unique lifecycle patterns (<xref ref-type="bibr" rid="B10">Cho and Choi, 2011</xref>; <xref ref-type="bibr" rid="B41">Reisch and Hoi&#xdf;, 2019</xref>). Since the differentiation in reproduction time may decelerate gene flow between cohorts flowering in odd and even years (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>; <xref ref-type="bibr" rid="B42">Rusterholz et&#xa0;al., 2023</xref>), genetic comparisons between odd- and even-year flowering cohorts are necessary for totally understanding the genetic diversity and population dynamics of biennial plants.</p>
<p>The present study addressed the strict biennial lifecycle and associated population genetics of <italic>Pedicularis hallaisanensis</italic> (Orobanchaceae), an endangered endemic plant species in Korea. It was hypothesized that <italic>P. hallaisanensis</italic> cohorts flowering in odd-year would differ in genetic structure from those flowering in even-year because the isolated reproduction times may limit gene flow between the two cohorts. To test this hypothesis, a wild <italic>P. hallaisanensis</italic> population was periodically monitored to confirm that it followed a strict biennial lifecycle. Given the unavailability of a reference nuclear genome for the target species, we assembled a <italic>de novo</italic> draft genome of <italic>P. hallaisanensis</italic> to detect SNPs and compare the genetic structure between the different flowering years.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Target species</title>
<p>The target species is the root-hemiparasitic herb species, <italic>P. hallaisanensis</italic> (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>). This species is endemic to Korea and is legally protected as an endangered species (grade II) of the Ministry of Environment (<xref ref-type="bibr" rid="B12">Chung et&#xa0;al., 2023</xref>). It originally inhabited Korean mountaintop grasslands (altitude: 1,400&#x2013;1,500 m) such as Hallasan and Gayasan (<xref ref-type="bibr" rid="B25">Kim et&#xa0;al., 2018</xref>), with voucher specimens stored at the herbariums of Inha University (Cho. 98454) and the Korea National Park Research Institute (Gaya_20160439), respectively (<xref ref-type="bibr" rid="B10">Cho and Choi, 2011</xref>; <xref ref-type="bibr" rid="B21">Han et&#xa0;al., 2022</xref>). However, the most wild populations have disappeared due to habitat loss and climate change (<xref ref-type="bibr" rid="B25">Kim et&#xa0;al., 2018</xref>). This species is known to be phylogenetically close to other hemiparasitic Orobanchaceae species, such as <italic>Pedicularis spicata</italic>, <italic>Pedicularis verticillata, Pedicularis alaschanica</italic>, and <italic>Pedicularis longiflora</italic>, according to previous ribosomal and chloroplast DNA studies (<xref ref-type="bibr" rid="B10">Cho and Choi, 2011</xref>; <xref ref-type="bibr" rid="B11">Cho et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B50">Zhang et&#xa0;al., 2020</xref>). Morphologically, <italic>P. hallaisanensis</italic> is distinguishable by its dense glandular hairs covering the entire body, a shorter galea compared to the lower lip, and three unequal calyx lobes when compared to other allied Orobanchaceae species (<xref ref-type="bibr" rid="B10">Cho and Choi, 2011</xref>; <xref ref-type="bibr" rid="B25">Kim et&#xa0;al., 2018</xref>). Although <italic>P. hallaisanensis</italic> has traditionally been speculated to be either an annual, biennial, or perennial species (<xref ref-type="bibr" rid="B11">Cho et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B25">Kim et&#xa0;al., 2018</xref>), our monitoring was the first to confirm that this species features a strict biennial lifecycle (see our Results section).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Location of the study area <bold>(A)</bold>, microhabitats (MH-1 and MH-2) for sampling of <italic>Pedicularis hallaisanensis</italic> SNP analysis in the study area <bold>(B)</bold>, and examples of first-year seedling <bold>(C)</bold> and a second-year adult <bold>(D)</bold> of <italic>P. hallaisanensis</italic>. (Source of <bold>(A)</bold>: <ext-link ext-link-type="uri" xlink:href="https://map.ngii.go.kr/ms/map/NlipMap.do">https://map.ngii.go.kr/ms/map/NlipMap.do</ext-link>, accessed on 8 April 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1468395-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Study area and lifecycle monitoring</title>
<p>The study area was located in a mountaintop grassland within Gayasan National Park in South Korea (35&#xb0;49&#x2032;25&#x2033;N, 128&#xb0;7&#x2032;10&#x2033;E) (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>). The altitude of the study area ranges from 1,410 to 1,430 m above sea level (asl), with slopes varying between 0&#xb0; and 20&#xb0;. The average annual precipitation is 1,296 mm, with a relative humidity of 74.8% and an average air temperature of 7.6&#xb0;C. The soil is less than 20 cm, lacking distinct evidence of horizon development (entisols), and is underlain by an impermeable bedrock layer. This was the only study area available for studying the target species, although we have investigated all known natural habitats around Hallasan, Gayasan, Seoraksan, and Bangtaesan from 2019 to 2023 in search of additional wild <italic>P. hallaisanensis</italic> populations. National inventory data from the National Institute of Ecology have also recorded no wild <italic>P. hallaisanensis</italic> population remaining in any natural habitats since 2020, except for this study area.</p>
<p>All <italic>P. hallaisanensis</italic> individuals were counted in August from 2021 to 2023 to quantify the population size in the study area. Of these, one individual was used for the draft genome analysis, and 20 were used for SNP analyses. All <italic>P. hallaisanensis</italic> individuals in the study area were sorted into age classes according to the elapsed time after germination (first-year seedling and second-year adult). Each <italic>P. hallaisanensis</italic> was labeled and monthly monitored to track any morphological changes throughout the biennial lifecycle during the growing season (April&#x2013;November).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>DNA extraction and draft genome assembly</title>
<p>Fresh leaves of a <italic>P. hallaisanensis</italic> individual were sampled in June 2023, stored in an icebox (4&#xb0;C), and brought to the laboratory for draft genome assembly. Genomic DNA was extracted from the leaf samples using the Aprep Total DNA KIT (APBIO, Namyangju, South Korea) based on the manufacturer&#x2019;s instructions. The extracted DNA was then quantified with a Thermo Scientific Nanodrop 8000 spectrophotometer (Fisher Scientific, Waltham, MA, USA), digested using the ApeKI enzyme (GCWGC), and reorganized into short reads of 151 bp length, following the protocols of <xref ref-type="bibr" rid="B15">Elshire et&#xa0;al. (2011)</xref> and <xref ref-type="bibr" rid="B33">Oh et&#xa0;al. (2023)</xref>. Sequencing was conducted using the Illumina Hiseq X Ten Platform (Illumina Inc., San Diego, CA, USA). Illumina raw reads were filtered using Trimmomatic v.0.39 to exclude poor-quality reads (window size: 4, mean quality: &#x2267; 15, leading and trailing: &#x2267; 3, read length: &#x2267; 36 bp) (<xref ref-type="bibr" rid="B6">Bolger et&#xa0;al., 2014</xref>), and <italic>de novo</italic> assembly was done using SOAPdenovo2 v.2.04 (K-mer = 69) (<xref ref-type="bibr" rid="B31">Luo et&#xa0;al., 2012</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>SNP detection and filtration</title>
<p>Two 5 &#xd7; 5 m plots were established for SNP analyses in two different microhabitats (MH-1 and MH-2). Although the distance between these two microhabitats was only 20 m, they differed in terms of historical anthropogenic interventions (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). MH-1 had been artificially flattened and managed as a heliport until the early 2010s (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>), but it has recently become revegetated after such management was stopped. Conversely, MH-2 was located outside the old heliport sites and was relatively sheltered from heavy anthropogenic interventions. Both MH-1 and MH-2 contained both odd-year-flowering (OYF) and even-year-flowering (EYF) <italic>P. hallaisanensis</italic> cohorts, in contrast to several other microhabitats, which included either OYF or EYF cohorts only.</p>    <p>Fresh cauline leaves from five OYF and five EYF were randomly sampled from each plot for SNP detection in June 2023 and 2022, respectively (<italic>n</italic> = 20). Short DNA reads (151 bp) were obtained using the protocols of <xref ref-type="bibr" rid="B15">Elshire et&#xa0;al. (2011)</xref> and <xref ref-type="bibr" rid="B33">Oh et&#xa0;al. (2023)</xref> and sequenced with the Illumina Hiseq X Ten platform (Illumina Inc., CA, USA). Low-quality raw reads were then removed using cutadapt v.1.8.3 (<xref ref-type="bibr" rid="B28">Li, 2013</xref>) and Trimmomatic v.0.39 (<xref ref-type="bibr" rid="B6">Bolger et&#xa0;al., 2014</xref>). Filtered clean reads were mapped to the assembled draft genome of <italic>P. hallaisanensis</italic> using BWA v.0.7.17-r1188 (<xref ref-type="bibr" rid="B28">Li, 2013</xref>), and raw SNPs were detected using SAMtools v.0.1.16 (<xref ref-type="bibr" rid="B29">Li et&#xa0;al., 2009</xref>). To ensure SNP quality, only biallelic SNP loci without any missing values throughout all 20 samples were selected for further statistical analyses (3716 SNPs in total).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analyses</title>
<p>To describe the genetic diversity, Nei&#x2019;s genetic diversity (GD), polymorphism informative content (PIC), minor allele frequency (MAF), and observed heterozygosity (Ho) were calculated using the snpReady package in R v.4.3.2 software (<xref ref-type="bibr" rid="B20">Granto et&#xa0;al., 2018</xref>).</p>
<p>Permutational multivariate analysis of variance (PERMANOVA) and permutational analysis of multivariate dispersion (PERMDISP) were conducted using Bray&#x2013;Curtis dissimilarity based on 9,999 permutations to test the effects of flowering group (OYF or EYF) and microhabitat (MH-1 or MH-2) on the multivariate genetic centroids and dispersions of the SNP data from 20 P<italic>. hallaisanensis</italic> samples (<italic>&#x3b1;</italic> = 0.05). Nonmetric multidimensional ordination scaling (NMDS) was further conducted using Bray&#x2013;Curtis dissimilarity to visualize the multivariate genetic variability, and a general linear model (GLM) was applied to test the relationship between NMDS axes, flowering group, and microhabitat (<italic>n</italic> = 20, <italic>&#x3b1;</italic> = 0.05). These analyses were performed using the vegan (<xref ref-type="bibr" rid="B34">Oksanen et&#xa0;al., 2024</xref>) and agricolae (<xref ref-type="bibr" rid="B14">De Mendiburu and Simon, 2015</xref>) packages in R v.4.3.2 software (<xref ref-type="bibr" rid="B39">R Core Team, 2023</xref>).</p>
<p>Neighbor-joining method and k-means clustering of the silhouette width approach were implemented using the factoextra (<xref ref-type="bibr" rid="B22">Kassambara and Mundt, 2016</xref>) and ape (<xref ref-type="bibr" rid="B35">Paradis et&#xa0;al., 2004</xref>) packages in R v.4.3.2 software to show genetic differences among the sampled <italic>P. hallaisanensis</italic> (<italic>n</italic> = 20) (<xref ref-type="bibr" rid="B5">Batool and Henning, 2021</xref>). STRUCTURE 2.3.4 software was also used with 10,000 burn-in periods, 100,000 Markov chain Monte Carlo (MCMC) replications, and 10 iterations to estimate the membership probability of each <italic>P. hallaisanensis</italic> sample according to hypothetical ancestral genotypes (<xref ref-type="bibr" rid="B37">Pritchard et&#xa0;al., 2000</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Lifecycle and population size of <italic>P. hallaisanensis</italic>
</title>
<p>Our monitoring demonstrated that <italic>P. hallaisanensis</italic> strictly required 2 years of lifecycle per generation, with approximately 8 and 10 months of growing periods as first-year seedling and second-year adult, respectively. From April to May, first-year seedlings of <italic>P. hallaisanensis</italic> germinated and developed leaves and roots, eventually forming overwintering buds in November (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). There were only rosette leaves without distinguishable shoots and cauline leaves in the aboveground of the first-year seedlings (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). However, second-year adults of <italic>P. hallaisanensis</italic> rapidly established shoots and cauline leaves from the overwintering buds starting in April. Flowering and seed production of occurred from August to November in the second year, and all second-year adults died after producing seeds (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Facultative annual and perennial lifecycle patterns were undetected for <italic>P. hallaisanensis</italic> in the study area. Accordingly, a flowering event of <italic>P. hallaisanensis</italic> occurred biennially at several microhabitats (other than MH-1 and MH-2), when they contained only first-year seedlings or second-year adults.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Summary of the strict biennial lifecycle of <italic>Pedicularis hallaisanensis</italic> and <bold>(B)</bold> number of first-year seedling and second-year adult of <italic>P. hallaisanensis</italic> individuals in the study area. Arrows above the bars in <bold>(B)</bold> indicate odd-year-flowering (OYF) and even-year-flowering (EYF) <italic>P. hallaisanensis</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1468395-g002.tif"/>
</fig>
<p>The total number of <italic>P. hallaisanensis</italic> individuals in the study area was 170, 187, and 276 in 2021, 2022, and 2023, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). First-year seedlings and second-year adults accounted for 44.4%&#x2013;87.3% and 12.7%&#x2013;55.6% of the <italic>P. hallaisanensis</italic> population, respectively. EYF consistently showed a larger number of <italic>P. hallaisanensis</italic> individuals than OYF regardless of age throughout the monitoring period (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Draft genome and filtered SNPs</title>
<p>Sequencing of <italic>P. hallaisanensis</italic> provided 100.9 Gb of Illumina short reads, which were used to assemble the reference draft genome, involving 2.6 million contigs with a total length of 1.23 Gb and an N50 length of 0.54 Mb, for further SNP identification (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). Subsequently, a total of 123.7 Tb of Illumina short reads was obtained from 10 OYF and 10 EYF samples (20 genotypes), from which 3,716 filtered SNPs were identified to analyze the genetic structure across flowering groups and microhabitats. Genetic diversity indices for 3,716 SNPs are described in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2.</bold>
</xref>
</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Effects of flowering group and microhabitat</title>
<p>PERMANOVA on the 3,716 SNPs demonstrated that the flowering group (<italic>p</italic> &lt; 0.005), microhabitat (<italic>p</italic> &lt; 0.001), and their interaction (<italic>p</italic> &lt; 0.01) had a significant effect on the multivariate centroid of 3,716 SNPs from <italic>P. hallaisanensis</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). These three factors explained 44.8% of the multivariate variances in SNPs, while the remaining 55.2% of the variance were attributed to within-group variabilities. On the other hand, PERMDISP indicated that only microhabitat (<italic>p</italic> &lt; 0.05) had a significant effect on the multivariate dispersion of 3,716 SNPs from <italic>P. hallaisanensis</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> Results of permutational multivariate analysis of variance (PERMANOVA) and permutational analysis of multivariate dispersion (PERMDISP). <bold>(B)</bold> Nonmetric multidimensional ordination scaling (NMDS; <italic>n</italic> = 20) and general linear model (GLM; <italic>n</italic> = 20) on each NMDS axis using 3,716 SNP data from odd-year-flowering (OYF) and even-year-flowering (EYF) <italic>Pedicularis hallaisanensis</italic> in the two studied microhabitats (MH-1 and MH-2).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1468395-g003.tif"/>
</fig>
<p>NMDS ordination showed a similar pattern with PERMANOVA and PERMDISP (stress value: 0.12, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Additional GLM on NMDS axes found that axes 1 and 2 represented the variabilities resulting from microhabitat (<italic>p</italic> &lt; 0.001) and flowering group (<italic>p</italic> &lt; 0.005), respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Since the multivariate centroids of OYF and EYF were closer in MH-1 than in MH-2 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>), the multivariate dispersion conversely became larger in MH-2 regardless of the similar genetic diversity indices among the four combinations of OYF and EYF in MH-1 and MH-2 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Genetic clustering</title>
<p>The silhouette width approach suggested that the optimum K number was four, followed by three and two (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Neighbor-joining phylogenetic tree and k-means clustering revealed that the 20 genotypes of <italic>P. hallaisanensis</italic> were divided by microhabitat (MH-1 and MH-2) at <italic>K</italic> = 2. At <italic>K</italic> = 3, the genotypes in MH-2 were subdivided by flowering group (OYF and EYF) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Only one of the genotypes of OYF in MH-2 was separated as an additional cluster at <italic>K</italic> = 4, while the subdivisions between OYF and EYF in MH-1 remained relatively unclear (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). The STRUCTURE analysis exhibited a similar pattern with the neighbor-joining phylogenetic tree, including the differentiation between MH-1 and MH-2 at <italic>K</italic> = 2 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>), and a clearer subdivision by the flowering group in MH-2 than in MH-1 at <italic>K</italic> = 3 and 4 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>
<bold>(A)</bold> Selection of the number of clusters using the silhouette width criterion (k), <bold>(B)</bold> neighbor-joining phylogenetic tree, and <bold>(C)</bold> STRUCTURE analysis results on 3,716 SNP data from odd-year-flowering (OYF; MH-1: 1&#x2013;5, MH-2: 6&#x2013;10) and even-year-flowering (EYF; MH-1: 11&#x2013;15, MH-2: 16&#x2013;20) <italic>Pedicularis hallaisanensis</italic> <bold>(B)</bold> in the two studied microhabitats (MH-1 and MH-2). The colors of the bar graphs in <bold>(C)</bold> imply the different clusters estimated by STRUCTURE analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1468395-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Strict biennial plant species have a distinctive lifecycle compared to annual and facultative biennial plants, characterized by an extended time period for each generation (2 years from seed germination to flowering and death) (<xref ref-type="bibr" rid="B23">Kelly, 1985</xref>). All the studied <italic>P. hallaisanensis</italic> required a 2-year period from seed germination to blooming, seed production, and death (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>), which fits into the biennial lifecycle patterns of other <italic>Pedicularis</italic> species in alpine meadows (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>; <xref ref-type="bibr" rid="B49">Zhang et&#xa0;al., 2011</xref>). Our results support several expectations on biennial lifecycle in nature. For example, flowers of <italic>P. hallaisanensis</italic> were detected every year within the study area (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>), confirming that strict biennial plants can establish two distinct cohorts with different flowering periods (odd or even years), sharing the same microhabitat (<xref ref-type="bibr" rid="B23">Kelly, 1985</xref>; <xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>). Our results are in line with the mathematical studies (<xref ref-type="bibr" rid="B13">Davydova et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B27">Kisdi, 2012</xref>), which anticipate the coexistence of first-year seedlings and second-year adults of biennial plants within a given time frame and microhabitat. The detected annual oscillations in the number of flowering second-year adults are also consistent with previous findings on other strict&#xa0;biennial plants by <xref ref-type="bibr" rid="B3">Anderson et&#xa0;al. (2021)</xref> and <xref ref-type="bibr" rid="B36">Petr&#x16f; (2005)</xref> (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<p>Temporal genetic differentiation in plant ecology is traditionally considered to be the evolutionary changes in population genetics over long periods or the short-term genetic constitutions caused by natural and anthropogenic disturbances along several generations (<xref ref-type="bibr" rid="B30">Linhart and Grant, 1996</xref>; <xref ref-type="bibr" rid="B43">Stadler et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">G&#xf3;mez et&#xa0;al., 2018</xref>). It may also reflect the genetic variability within a perennial plant population due to the complexity of its age structure and intraseasonal variations in flowering phenology (<xref ref-type="bibr" rid="B40">Reed et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B45">Tsuzuki et&#xa0;al., 2022</xref>). In the present study, multivariate comparisons using the detected SNPs showed that the flowering group had a significant effect on the genetic structure of <italic>P. hallaisanensis</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Due to the absence of comparable studies on the population genetics of strict biennial plants, it is uncertain whether the observed genetic differentiation is consistent across plant species with similar lifecycle characteristics (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>; <xref ref-type="bibr" rid="B49">Zhang et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B3">Anderson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B17">Glav Lundin and Eriksson, 2021</xref>). Therefore, further studies should address this uncertainty in other biennial <italic>Pedicularis</italic> species to totally confirm if the detected temporal genetic differentiation can be generalized. Nonetheless, the findings enable us to expect that the strict biennial lifecycle may contribute to temporal genetic differentiation by creating two different cohorts that flower in either odd or even years within a single habitat, in contrast to the interannual maintenance of genetic structure observed in facultative biennial plant species (<xref ref-type="bibr" rid="B46">Valverde et&#xa0;al., 2016</xref>).</p>
<p>There was a significant effect of microhabitat, which was even greater than that of the flowering group (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The magnitude of temporal genetic differentiation due to the strict biennial lifecycle also depended on the spatial location of the individuals, as evidenced by the closer genetic distance between OYF and EYF individuals within the same microhabitat, compared to that between OYFs (or EYFs) in different microhabitats (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4B</bold>
</xref>). These patterns indicate that gene flow between the flowering groups is likely to occur, at least within a single microhabitat (<xref ref-type="bibr" rid="B42">Rusterholz et&#xa0;al., 2023</xref>). The detailed mechanisms behind these patterns are currently unknown. However, eventual seed dispersal and dormancy may allow the gene flow between OYF and EYF, potentially confounding the observed temporal genetic differentiation (<xref ref-type="bibr" rid="B46">Valverde et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B17">Glav Lundin and Eriksson, 2021</xref>). This is despite the fact that most seeds of biennial <italic>Pedicularis</italic> plants are known to germinate in the first spring after they are produced (<xref ref-type="bibr" rid="B23">Kelly, 1985</xref>; <xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>; <xref ref-type="bibr" rid="B26">Kim et&#xa0;al., 2019</xref>). The significant difference between microhabitats suggests that gene flow between MH-1 and MH-2 may have been limited, despite the small habitat area, allowing small-scale spatiotemporal changes in genetic structure to become detectable (<xref ref-type="bibr" rid="B9">Chan et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B51">Zhang et&#xa0;al., 2021</xref>).</p>
<p>It is also notable that flowering group &#xd7; microhabitat interaction played a marked role in the genetic diversity across the studied <italic>P. hallaisanensis</italic> cohorts (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The genetic variability between OYF and EYF was remarkable in MH-2, in contrast to the relatively unclear genetic differences in MH-1 (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>). These patterns further induced the lowered multivariate dispersions in MH-1 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), reflecting the reduction of genetic diversity in MH-1 (<xref ref-type="bibr" rid="B2">Anderson et&#xa0;al., 2006</xref>). These patterns might be related to the previous anthropogenic interventions around the heliport near MH-1 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>), given that extreme disturbance events can reduce the genetic diversity of short-lived herb populations by increasing the self-compatible reproduction rate and confounding the species&#x2019; lifecycle pattern (<xref ref-type="bibr" rid="B38">Quintana-Asencio et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B19">Gonz&#xe1;lez et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B1">Almeida-Rocha et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B3">Anderson et&#xa0;al., 2021</xref>). Given the hemiparasitic characteristics of <italic>P. hallaisanensis</italic>, historical disturbances to the surrounding host plants may have also impacted the health and genetic diversity of <italic>P. hallaisanensis</italic>, particularly in MH-1 (<xref ref-type="bibr" rid="B26">Kim et&#xa0;al., 2019</xref>). Therefore, the findings allow us to suspect that excessive anthropogenic interventions could reduce the genetic diversity of strict biennial plant populations by hindering genetic differentiation between OYF and EYF cohorts. However, moderate disturbances, such as grazing and mowing, may promote seedling recruitment in biennial <italic>Pedicularis</italic> species by helping to maintain grassland habitats (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>).</p>
<p>In summary, this study is the first to record the strict biennial lifecycle and associated genetic variabilities of the endangered endemic plant species, <italic>P. hallaisanensis</italic>, using GBS and SNPs. Our results showed temporal genetic differentiation between OYF and EYF, which may contribute to the genetic diversity of the remaining <italic>P. hallaisanensis</italic> population. Such genetic differentiation, driven by the biennial lifecycle, varied across microhabitats and may be related to differing levels of historical anthropogenic interventions. In this context, excessively strong anthropogenic interventions in the <italic>P. hallaisanensis</italic> habitat should be avoided to preserve the genetic diversity of the wild population. Instead, moderate management practices like mowing and grazing can help protect mountain grassland habitats from the invasion of competitive shrubs and trees (<xref ref-type="bibr" rid="B36">Petr&#x16f;, 2005</xref>; <xref ref-type="bibr" rid="B25">Kim et&#xa0;al., 2018</xref>). Moreover, future conservation programs should collect original wild breeds from both OYF and EYF to ensure that genetic diversity in the wild population is passed on to artificially propagated <italic>P. hallaisanensis</italic>. The detected biennial lifecycle is also remarkable for <italic>ex situ</italic> conservation, highlighting the necessity of 2-year cultivation cycles to successfully propagate collected <italic>P. hallaisanensis</italic> (<xref ref-type="bibr" rid="B26">Kim et&#xa0;al., 2019</xref>).</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<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: <uri xlink:href="https://www.ncbi.nlm.nih.gov/">https://www.ncbi.nlm.nih.gov/</uri>, PRJNA1136402.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>SK: Conceptualization, Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. B-DL: Conceptualization, Investigation, Methodology, Writing &#x2013; review &amp; editing. CL: Conceptualization, Investigation, Methodology, Writing &#x2013; review &amp; editing. H-JP: Investigation, Resources, Writing &#x2013; review &amp; editing. JH: Investigation, Resources, Writing &#x2013; review &amp; editing. HP: Investigation, Resources, Writing &#x2013; review &amp; editing. Y-JK: Investigation, Resources, Writing &#x2013; review &amp; editing. DJ: Investigation, Resources, Writing &#x2013; review &amp; editing. Y-JY: Project administration, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the National Institute of Ecology (NIE-B-2024-49) of South Korea.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank the technicians of SEEDERS Inc. for their significant contributions to the draft genome and SNP experiments.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<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>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10" 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/fpls.2024.1468395/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2024.1468395/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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