Estimation of genetic variability and population structure in Ephedra gerardiana Wall. ex Stapf (Ephedraceae): An endangered and endemic high altitude medicinal plant
{"title":"Estimation of genetic variability and population structure in Ephedra gerardiana Wall. ex Stapf (Ephedraceae): An endangered and endemic high altitude medicinal plant","authors":"Baleshwar Meena , Vandana Tiwari , Niraj Singh , Kamalesh Singh Mahar , Yogesh Kumar Sharma , Tikam Singh Rana","doi":"10.1016/j.aggene.2016.08.002","DOIUrl":null,"url":null,"abstract":"<div><p><span><em>Ephedra</em><em> gerardiana</em></span> is commonly known as ‘<em>Gerard's Joint fir’</em><span>, used in the indigenous systems as well as in modern systems of medicine. Almost every part of the plant possesses innumerable medicinal properties<span>. Here we examined the genetic diversity and population structure of </span></span><em>E. gerardiana</em><span> employing Direct Amplification of Minisatellite<span> DNA (DAMD) and Inter Simple Sequence Repeats (ISSR) methods. The cumulative (DAMD and ISSR) marker data revealed a high genetic diversity (P</span></span> <!-->=<!--> <!-->90.84%, H<!--> <!-->=<!--> <!-->0.30, I<!--> <!-->=<!--> <!-->0.45) at species level than at population levels (P<!--> <!-->=<!--> <!-->62.43%, H<!--> <!-->=<!--> <!-->0.22, I<!--> <!-->=<!--> <!-->0.33), and moderate genetic differentiation (G<sub>ST</sub> <!-->=<!--> <!-->0.27) among populations. Unweighted pair group method for arithmetic mean (UPGMA), Principle coordinate analysis (PCoA) and Bayesian clustering analysis revealed a significant population structure, and are in congruence with geographic distribution of the accessions. Mantel test revealed a significant correlation between geographic and genetic distances (<em>r</em> <!-->=<!--> <!-->0.86, P<!--> <!-->=<!--> <span>0.007). Comparatively, high genetic diversity at species level than the population levels showed that these populations have evolved in response to their respective environments, and geographical isolation have played an important role in genetic differentiation and population structuring. However, increasing anthropogenic pressure on natural habitats of </span><em>E. gerardiana</em>, warrants immediate <em>in-situ</em> and <em>ex-situ</em> conservation measures to preserve diverse genotypes available in western Himalayan region for long term sustainability of <em>E. gerardiana.</em> To the best of our knowledge, present study seems to be the first endeavour to analyse genetic diversity and population structure of <em>E. gerardiana</em> using molecular markers.</p></div>","PeriodicalId":37751,"journal":{"name":"Agri Gene","volume":"1 ","pages":"Pages 116-125"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.aggene.2016.08.002","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agri Gene","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352215116300150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 6
Abstract
Ephedra gerardiana is commonly known as ‘Gerard's Joint fir’, used in the indigenous systems as well as in modern systems of medicine. Almost every part of the plant possesses innumerable medicinal properties. Here we examined the genetic diversity and population structure of E. gerardiana employing Direct Amplification of Minisatellite DNA (DAMD) and Inter Simple Sequence Repeats (ISSR) methods. The cumulative (DAMD and ISSR) marker data revealed a high genetic diversity (P = 90.84%, H = 0.30, I = 0.45) at species level than at population levels (P = 62.43%, H = 0.22, I = 0.33), and moderate genetic differentiation (GST = 0.27) among populations. Unweighted pair group method for arithmetic mean (UPGMA), Principle coordinate analysis (PCoA) and Bayesian clustering analysis revealed a significant population structure, and are in congruence with geographic distribution of the accessions. Mantel test revealed a significant correlation between geographic and genetic distances (r = 0.86, P = 0.007). Comparatively, high genetic diversity at species level than the population levels showed that these populations have evolved in response to their respective environments, and geographical isolation have played an important role in genetic differentiation and population structuring. However, increasing anthropogenic pressure on natural habitats of E. gerardiana, warrants immediate in-situ and ex-situ conservation measures to preserve diverse genotypes available in western Himalayan region for long term sustainability of E. gerardiana. To the best of our knowledge, present study seems to be the first endeavour to analyse genetic diversity and population structure of E. gerardiana using molecular markers.
Agri GeneAgricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
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Agri Gene publishes papers that focus on the regulation, expression, function and evolution of genes in crop plants, farm animals, and agriculturally important insects and microorganisms. Agri Gene strives to be a diverse journal and topics in multiple fields will be considered for publication so long as their main focus is on agriculturally important organisms (plants, animals, insects, or microorganisms). Although not limited to the following, some examples of potential topics include: Gene discovery and characterization. Genetic markers to guide traditional breeding. Genetic effects of transposable elements. Evolutionary genetics, molecular evolution, population genetics, and phylogenetics. Profiling of gene expression and genetic variation. Biotechnology and crop or livestock improvement. Genetic improvement of biological control microorganisms. Genetic control of secondary metabolic pathways and metabolic enzymes of crop pathogens. Transcription analysis of beneficial or pest insect developmental stages Agri Gene encourages submission of novel manuscripts that present a reasonable level of analysis, functional relevance and/or mechanistic insight. Agri Gene also welcomes papers that have predominantly a descriptive component but improve the essential basis of knowledge for subsequent functional studies, or which provide important confirmation of recently published discoveries provided that the information is new.