Literature DB >> 26036320

Genetic diversity and population structure of an Italian landrace of runner bean (Phaseolus coccineus L.): inferences for its safeguard and on-farm conservation.

F Mercati1, G Catarcione, A R Paolacci, M R Abenavoli, F Sunseri, M Ciaffi.   

Abstract

The landraces are considered important sources of valuable germplasm for breeding activities to face climatic changes as well as to satisfy the requirement of new varieties for marginal areas. Runner bean (Phaseolus coccineus L.) is one of the most cultivated Phaseolus species worldwide, but few studies have been addressed to assess the genetic diversity and structure within and among landrace populations. In the present study, 20 different populations of a runner bean landrace from Central Italy named "Fagiolone," together with 41 accessions from Italy and Mesoamerica, were evaluated by using 14 nuclear SSRs to establish its genetic structure and distinctiveness. Results indicated that "Fagiolone" landrace can be considered as a dynamic evolving open-pollinated population that shows a significant level of genetic variation, mostly detected within populations, and the presence of two main genetic groups, of which one distinguished from other Italian runner bean landraces. Results highlighted also a relevant importance of farmers' management practices able to influence the genetic structure of this landrace, in particular the seed exchanges and selection, and the past introduction in cultivation of landraces/cultivars similar to seed morphology, but genetically rather far from "Fagiolone." The most suitable on-farm strategies for seed collection, conservation and multiplication will be defined based on our results, as a model for threatened populations of other allogamous crop species. STRUCTURE and phylogenetic analyses indicated that Mesoamerican accessions and Italian landraces belong to two distinct gene pools confirming the hypothesis that Europe could be considered a secondary diversification center for P. coccineus.

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Year:  2015        PMID: 26036320     DOI: 10.1007/s10709-015-9846-1

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  23 in total

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Authors:  Hilde Nybom
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4.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

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Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

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Authors:  Mattias Jakobsson; Noah A Rosenberg
Journal:  Bioinformatics       Date:  2007-05-07       Impact factor: 6.937

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Journal:  Theor Appl Genet       Date:  2009-07-29       Impact factor: 5.699

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10.  European Phaseolus coccineus L. landraces: population structure and adaptation, as revealed by cpSSRs and phenotypic analyses.

Authors:  Monica Rodriguez; Domenico Rau; Simonetta A Angioi; Elisa Bellucci; Elena Bitocchi; Laura Nanni; Helmut Knüpffer; Valeria Negri; Roberto Papa; Giovanna Attene
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

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  1 in total

1.  Genetic diversity and variation of Chinese fir from Fujian province and Taiwan, China, based on ISSR markers.

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Journal:  PLoS One       Date:  2017-04-13       Impact factor: 3.240

  1 in total

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