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      Genetic diversity and phylogeography of the endemic species Chimonobambusa utilis growing in southwest China: Chloroplast DNA sequence and microsatellite marker analyses

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          Abstract

          Chimonobambusa utilis (Keng) Keng F is an endemic species distributed only in the Daluoshan Mountains, southwest China. Ch. utilis is popular due to its unique flavor and deliciousness and plays an important role in the industrial revolution in many counties in China. A total of 20 natural populations were sampled from the entire distribution range of Ch. utilis. In the present study, we used five EST-SSR molecular markers, three chloroplast DNA ( trnH- psbA, atpF- atpH, and psbK- psbI), and one ITS molecular marker to elucidate the genetic diversity and phylogeography analyses of these Ch. utilis populations. The results exhibited that Ch. utilis populations showed lower genetic diversity than other angiosperms ( H T = 0.752, H S = 0.364, and F ST = 0.05021 for EST-SSR; H T = 0.956, Hs = 0.507, and F ST = 0.70121 for cpDNA; H T = 0.868, Hs = 0.495, and F ST = 0.70121 for nrDNA). A total of 40 alleles were detected for five polymorphic loci. We detected 20 polymorphic sites and 11 haplotypes within 1,398 bp of cpDNA and 59 polymorphic sites and 32 haplotypes within the 589 bp of the ITS sequence. Based on the haplotype distribution, we infer that there were at least two glacial refuges of Ch. utilis populations during the Quaternary Ice Age. The genetic and geographic distance were correlated ( p < 0.05), indicating that narrow distribution might be the primary cause of the low genetic differentiation of Ch. utilis populations. Based on the genetic diversity of Ch. utilis populations, we recommend implementing effective genetic resource management and sustainable utilization.

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          Detecting the number of clusters of individuals using the software structure: a simulation study

          The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
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            Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.

            We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. © 2010 Blackwell Publishing Ltd.
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              STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                03 November 2022
                2022
                : 13
                : 943225
                Affiliations
                [1] 1 Key laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University , Guiyang, China
                [2] 2 Bamboo Research Institute, Guizhou University , Guiyang, China
                [3] 3 College of Forestry, Guizhou University , Guiyang, China
                Author notes

                Edited by: Daqiu Zhao, Yangzhou University, China

                Reviewed by: John M. Braverman, Saint Joseph’s University, United States; Shuyan Lin, Nanjing Forestry University, China

                *Correspondence: Zhaoxia Dai, Daizhaoxia1999@ 123456163.com

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.943225
                9671600
                36407620
                5bcea1cb-0d16-453d-9082-1390717b1868
                Copyright © 2022 Liu, Wu, Xu, Zhu, Dai and Gou

                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.

                History
                : 13 May 2022
                : 06 October 2022
                Page count
                Figures: 9, Tables: 6, Equations: 0, References: 46, Pages: 15, Words: 6610
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                chimonobambusa utilis,genetic diversity,endemic plant,historical dynamics,haplotype

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