{"id":3035,"date":"2018-10-17T16:20:19","date_gmt":"2018-10-17T14:20:19","guid":{"rendered":"https:\/\/ist.blogs.inra.fr\/afs\/?p=3035"},"modified":"2018-10-17T16:20:19","modified_gmt":"2018-10-17T14:20:19","slug":"geometric-morphometric-analyses-of-leaf-shapes-in-two-sympatric-chinese-oaks-quercus-dentata-thunberg-and-quercus-aliena-blume-fagaceae","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2018\/10\/17\/geometric-morphometric-analyses-of-leaf-shapes-in-two-sympatric-chinese-oaks-quercus-dentata-thunberg-and-quercus-aliena-blume-fagaceae\/","title":{"rendered":"Geometric morphometric analyses of leaf shapes in two sympatric Chinese oaks: Quercus dentata Thunberg and Quercus aliena Blume (Fagaceae)"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p><a href=\"https:\/\/ist.blogs.inra.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-3037 alignleft\" src=\"https:\/\/ist.blogs.inra.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018-300x143.png\" alt=\"\" width=\"300\" height=\"143\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018-300x143.png 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018-768x366.png 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018-1024x487.png 1024w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018-640x305.png 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2018\/10\/Liu2018.png 1231w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>Geometric morphometric analyses (GMMs) of the leaf shape can distinguish two congeneric oak species <em>Quercus dentata<\/em> Thunberg and <em>Quercus aliena<\/em> Blume in sympatric areas.<\/p>\n<p align=\"justify\"><strong>Context<\/strong> High genetic and morphological variation in different <em>Quercus<\/em> species hinder efforts to distinguish them. In China, <em>Q. dentata<\/em> and <em>Q. aliena<\/em> are generally sympatrically distributed in warm temperate forests, and share some leaf morphological characteristics.<br \/>\n<strong>Aims<\/strong> The aim of this study was to use the morphometric methods to discriminate these sympatric Chinese oaks preliminarily identified from molecular markers.<br \/>\n<strong>Methods<\/strong> Three hundred sixty-seven trees of seven sympatric <em>Q. dentata<\/em> and <em>Q. aliena<\/em> populations were genetically assigned to one of the two species or hybrids using Bayesian clustering analysis based on nSSR. This grouping served as a priori classification of the trees. Shapes of 1835 leaves from the 367 trees were analyzed in terms of 13 characters (landmarks) by GMMs. Correlations between environmental and leaf morphology parameters were studied using linear regression analyses.<br \/>\n<strong>Results<\/strong> The two species were efficiently discriminated by the leaf morphology analyses (96.9 and 95.9% of sampled <em>Q. aliena<\/em> trees and <em>Q. dentata<\/em> trees were correctly identified), while putative hybrids between the two species were found to be morphologically intermediate. Moreover, we demonstrated that the leaf morphological variations of <em>Q. aliena, Q. dentata,<\/em> and their putative hybrids are correlated with environmental factors, possibly because the variation of leaf morphology is part of the response to different habitats and environmental disturbances.<br \/>\n<strong>Conclusion<\/strong> GMMs were able to correctly classify individuals from the two species preliminary identified as <em>Q. dentata<\/em> or <em>Q. aliena<\/em> by nSSR. The high degree of classification accuracy provided by this approach may be exploited to discriminate other problematic species and highlight its utility in plant ecology and evolution studies.<\/p>\n<p><strong>Keywords<\/strong><br \/>\nGeometric morphometrics, Genetic assignment, Leaf morphology, <em>Quercus<\/em>, Sympatric distribution<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1007\/s13595-018-0770-2'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nLiu, Y., Li, Y., Song, J. et al. Annals of Forest Science (2018) 75: 90.<br \/>\n<a href=\"https:\/\/doi.org\/10.1007\/s13595-018-0770-2\">https:\/\/doi.org\/10.1007\/s13595-018-0770-2<\/a><\/p>\n<p>For the read-only version of the full text: <a href=\"https:\/\/rdcu.be\/9slR\">https:\/\/rdcu.be\/9slR<\/a><\/p>\n<p><strong>Data availability<\/strong><br \/>\nThe datasets generated and\/or analyzed during the current study are available from the authors on reasonable request.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Geometric morphometric analyses (GMMs) of the leaf shape can distinguish two congeneric oak species Quercus dentata Thunberg and Quercus aliena Blume in sympatric areas. Context High genetic and morphological variation in different Quercus species hinder efforts to distinguish them. In China, Q. dentata and Q. aliena are generally sympatrically distributed in warm temperate forests, and [&hellip;]<\/p>\n","protected":false},"author":94,"featured_media":3037,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,15],"tags":[],"class_list":["post-3035","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article-type","category-research-paper","cat-14-id","cat-15-id","has_thumb"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/3035","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/users\/94"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/comments?post=3035"}],"version-history":[{"count":0,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/3035\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media\/3037"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=3035"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=3035"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=3035"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}