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      One Step Away From Extinction: A Population Genomic Analysis of A Narrow Endemic, Tropical Plant Species

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          Abstract

          Intraspecific genetic variation plays a fundamental role in maintaining the evolutionary potential of wild populations. Hence, the assessment of genetic diversity patterns becomes essential to guide biodiversity conservation policies, particularly for threatened species. To inform management strategies for conservation of Mimosa catharinensis – a narrow endemic, critically endangered plant species – we identified 1,497 unlinked SNP markers derived from a reduced representation sequencing method (i.e., double digest restriction site associated DNA sequencing, or ddRADseq). This set of molecular markers was employed to assess intrapopulation genetic parameters and the demographic history of one extremely small population of M. catharinensis ( N=33) located in the Brazilian Atlantic Forest. Contrary to what is expected for narrow endemic and threatened species with small population sizes, we observed a moderate level of genetic diversity for M. catharinensis [ uH E(0%missing data)=0.205, 95% CI (0.160, 0.250); uH E(30%missing data)=0.233, 95% CI (0.174, 0.292)]. Interestingly, M. catharinensis, which is a lianescent shrub with no indication of seed production for at least two decades, presented high levels of outcrossing [ t (0%missing data)=0.883, SE±0.0483; t (30%missing data)=0.909, SE±0.011] and an apparent absence of inbreeding [ F (0%missing data)=−0.145, 95% CI (−0.189, −0.101); F (30%missing data)=−0.105, 95% CI (−0.199, −0.011)]. However, the reconstruction of demographic history of M. catharinensis indicated that the population should be suffered a recent bottleneck. Our population genomic study tackles a central issue in evolution and conservation biology and we expect that it will be useful to help safeguard the remaining genetic diversity reported for this unique genetic resource.

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          Most cited references152

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          A new look at the statistical model identification

          IEEE Transactions on Automatic Control, 19(6), 716-723
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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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              adegenet: a R package for the multivariate analysis of genetic markers.

              The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers. It extends the ade4 package of multivariate methods by implementing formal classes and functions to manipulate and analyse genetic markers. Data can be imported from common population genetics software and exported to other software and R packages. adegenet also implements standard population genetics tools along with more original approaches for spatial genetics and hybridization. Stable version is available from CRAN: http://cran.r-project.org/mirrors.html. Development version is available from adegenet website: http://adegenet.r-forge.r-project.org/. Both versions can be installed directly from R. adegenet is distributed under the GNU General Public Licence (v.2).
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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
                23 September 2021
                2021
                : 12
                : 730258
                Affiliations
                [1] 1 Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais , Belo Horizonte, Brazil
                [2] 2 Department of Ecology and Evolutionary Biology, University of Michigan , Ann Arbor, MI, United States
                Author notes

                Edited by: Nina Rønsted, National Tropical Botanical Garden, United States

                Reviewed by: Mária Šurinová, Academy of Sciences of the Czech Republic (ASCR), Czechia; Jeremie Fant, Chicago Botanic Garden, United States

                *Correspondence: Alison G. Nazareno, alisongn@ 123456ufmg.br ; nazareno@ 123456umich.edu

                This article was submitted to Plant Systematics and Evolution, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2021.730258
                8496504
                34630476
                1e71cce6-b1f6-41e3-beff-97d7fa840a0e
                Copyright © 2021 Teixeira and Nazareno.

                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
                : 24 June 2021
                : 09 August 2021
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 161, Pages: 15, Words: 12433
                Funding
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico , doi 10.13039/501100003593;
                Award ID: 429266/2018-9
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) , doi 10.13039/501100003593;
                Award ID: 306182/2020-3
                Funded by: Fundação de Amparo à Pesquisa de Minas Gerais (FAPEMIG)
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                demographic history,fabaceae,mimosa catharinensis,conservation genetics,genetic diversity

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