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

Publication Overview
TitleGenetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers
AuthorsRebaa F, Abid G, Aouida M, Abdelkarim S, Aroua I, Muhovski Y, Baudoin JP, M'hamdi M, Sassi K, Jebara M
TypeJournal Article
Journal NamePhysiology and molecular biology of plants : an international journal of functional plant biology
Volume23
Issue2
Year2017
Page(s)397-409
CitationRebaa F, Abid G, Aouida M, Abdelkarim S, Aroua I, Muhovski Y, Baudoin JP, M'hamdi M, Sassi K, Jebara M. Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers. Physiology and molecular biology of plants : an international journal of functional plant biology. 2017 Apr; 23(2):397-409.

Abstract

The genetic diversity of 21 faba bean populations was examined using morphological and molecular markers. DNA was extracted from 189 individuals and 8 microsatellite markers were genotyped individually in these 21 populations. A total of 53 alleles were obtained in all populations, with an average of 6.62 alleles per locus. The expected and observed heterozygosity was 0.38 and 0.62 respectively. The average polymorphism index content of SSR markers was 0.61, ranging from 0.31 to 0.81. The unweighted pair group method with arithmetic mean dendrogram clustered all the populations into two groups, each for them subdivided into 3 sub-groups according to geographical origin. Morphological variation showed that the populations were not grouped according to their geographical origin. Therefore, patterns of differentiation of morphological traits did not coincide with molecular differentiation, indicating that morphological variation does not reflect genetic subdivision in studied faba bean populations. Analysis of molecular variance revealed high levels of genetic variation (83%) within population and provides a good base for designing genetic improvement programs. The result of Principal Component Analysis (PCA) revealed that three dimensional principal components (PC1, PC2 and PC3) contributed 40.56% of the total variability and accounted with values of 20.64, 11.22 and 8.70%, respectively. Cluster analysis based on PCA indicated three separate groups of populations. The genetic relationships found between the 21 populations samples were the same in both the PCA and STRUCTURE analysis which support the results observed. These data may serve as a foundation for the development of faba bean breeding programs.

Features
This publication contains information about 8 features:
Feature NameUniquenameType
Vf_UTEM_SSR1Vf_UTEM_SSR1genetic_marker
Vf_UTEM_SSR2Vf_UTEM_SSR2genetic_marker
Vf_UTEM_SSR3Vf_UTEM_SSR3genetic_marker
Vf_UTEM_SSR4Vf_UTEM_SSR4genetic_marker
Vf_UTEM_SSR5Vf_UTEM_SSR5genetic_marker
Vf_UTEM_SSR6Vf_UTEM_SSR6genetic_marker
Vf_UTEM_SSR7Vf_UTEM_SSR7genetic_marker
Vf_UTEM_SSR8Vf_UTEM_SSR8genetic_marker
Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint-Electronic
ISSN0971-5894
pISSN0971-5894
Publication Date2017 Apr
Journal AbbreviationPhysiol Mol Biol Plants
DOI10.1007/s12298-017-0419-x
Elocation10.1007/s12298-017-0419-x
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryIndia