Literature DB >> 22204023

Genetic diversity and relationship of global faba bean (Vicia faba L.) germplasm revealed by ISSR markers.

Hai-Fei Wang1, Xu-Xiao Zong, Jian-Ping Guan, Tao Yang, Xue-Lian Sun, Yu Ma, Robert Redden.   

Abstract

Genetic diversity and relationships of 802 faba bean (Vicia faba L.) landraces and varieties from different geographical locations of China and abroad were examined using ISSR markers. A total of 212 repeatable amplified bands were generated with 11 ISSR primers, of which 209 were polymorphic. Accessions from North China showed highest genetic diversity, while accessions from central China showed low level of diversity. Chinese spring faba bean germplasm was clearly separated from Chinese winter faba bean, based on principal component analysis and UPGMA clustering analysis. Winter accessions from Zhejiang (East China), Jiangxi (East China), Sichuan (Southwest China) and Guizhou (Southwest China) were quite distinct to that from other provinces in China. Great differentiation between Chinese accessions and those from rest of the world was shown with a UPGMA dendrogram. AMOVA analyses demonstrated large variation and differentiation within and among groups of accessions from China. As a continental geographic group, accessions from Europe were genetically closer to those from North Africa. Based on ISSR data, grouping results of accessions from Asia, Europe and Africa were obviously associated with their geographical origin. The overall results indicated that the genetic relationship of faba bean germplasm was closely associated with their geographical origin and their ecological habit.

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Year:  2011        PMID: 22204023     DOI: 10.1007/s00122-011-1750-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  10 in total

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Journal:  Mol Biol Evol       Date:  2007-05-07       Impact factor: 16.240

3.  Molecular variation among Chinese and global winter faba bean germplasm.

Authors:  Xuxiao Zong; Xiuju Liu; Jianping Guan; Shumin Wang; Qingchang Liu; Jeffrey G Paull; Robert Redden
Journal:  Theor Appl Genet       Date:  2009-01-24       Impact factor: 5.699

4.  Genetic Data Analysis. Methods for Discrete Population Genetic Data. Bruce S. Weir. Sinauer, Sunderland, MA, 1990. xiv, 377 pp., illus. $48; paper, $27.

Authors:  R R Hudson
Journal:  Science       Date:  1990-10-26       Impact factor: 47.728

5.  Genetic diversity in European and Mediterranean faba bean germ plasm revealed by RAPD markers.

Authors:  W Link; C Dixkens; M Singh; M Schwall; A E Melchinger
Journal:  Theor Appl Genet       Date:  1995-01       Impact factor: 5.699

6.  Analysis of a diverse global Pisum sp. collection and comparison to a Chinese local P. sativum collection with microsatellite markers.

Authors:  Xuxiao Zong; Robert J Redden; Qingchang Liu; Shumin Wang; Jianping Guan; Jin Liu; Yanhong Xu; Xiuju Liu; Jing Gu; Long Yan; Peter Ades; Rebecca Ford
Journal:  Theor Appl Genet       Date:  2008-09-25       Impact factor: 5.699

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Authors:  S N Raina; Y Ogihara
Journal:  Theor Appl Genet       Date:  1995-03       Impact factor: 5.699

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Authors:  J I Cubero
Journal:  Theor Appl Genet       Date:  1974-01       Impact factor: 5.699

9.  Genetic diversity in recent elite faba bean lines using AFLP markers.

Authors:  Mahmoud Zeid; Chris-Carolin Schön; Wolfgang Link
Journal:  Theor Appl Genet       Date:  2003-08-20       Impact factor: 5.699

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

  10 in total
  8 in total

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Journal:  Mol Genet Genomics       Date:  2017-05-11       Impact factor: 3.291

2.  Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers.

Authors:  Feten Rebaa; Ghassen Abid; Marwa Aouida; Souhir Abdelkarim; Ibtissem Aroua; Yordan Muhovski; Jean-Pierre Baudoin; Mahmoud M'hamdi; Khaled Sassi; Moez Jebara
Journal:  Physiol Mol Biol Plants       Date:  2017-02-02

Review 3.  Advances in Faba Bean Genetics and Genomics.

Authors:  Donal M O'Sullivan; Deepti Angra
Journal:  Front Genet       Date:  2016-08-22       Impact factor: 4.599

4.  Genetic variation, population structure and linkage disequilibrium in Switchgrass with ISSR, SCoT and EST-SSR markers.

Authors:  Yu Zhang; Haidong Yan; Xiaomei Jiang; Xiaoli Wang; Linkai Huang; Bin Xu; Xinquan Zhang; Lexin Zhang
Journal:  Hereditas       Date:  2016-04-19       Impact factor: 3.271

5.  Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing.

Authors:  Chenyu Wang; Rong Liu; Yujiao Liu; Wanwei Hou; Xuejun Wang; Yamei Miao; Yuhua He; Yu Ma; Guan Li; Dong Wang; Yishan Ji; Hongyan Zhang; Mengwei Li; Xin Yan; Xuxiao Zong; Tao Yang
Journal:  Theor Appl Genet       Date:  2021-06-12       Impact factor: 5.699

6.  High-throughput novel microsatellite marker of faba bean via next generation sequencing.

Authors:  Tao Yang; Shi-ying Bao; Rebecca Ford; Teng-jiao Jia; Jian-ping Guan; Yu-hua He; Xue-lian Sun; Jun-ye Jiang; Jun-jie Hao; Xiao-yan Zhang; Xu-xiao Zong
Journal:  BMC Genomics       Date:  2012-11-08       Impact factor: 3.969

7.  Promoting the Use of Common Oat Genetic Resources through Diversity Analysis and Core Collection Construction.

Authors:  Maja Boczkowska; Bogusław Łapiński; Izabela Kordulasińska; Denise F Dostatny; Jerzy H Czembor
Journal:  PLoS One       Date:  2016-12-13       Impact factor: 3.240

8.  Use of plant growth-promoting bacteria to enhance salinity stress in soybean (Glycine max L.) plants.

Authors:  Aala A Abulfaraj; Rewaa S Jalal
Journal:  Saudi J Biol Sci       Date:  2021-03-27       Impact factor: 4.219

  8 in total

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