Assessment of Genetic Diversity in Faba Bean Based on Single Nucleotide Polymorphism
1
Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University, Bundoora, Victoria 3083, Australia
2
La Trobe University, Bundoora, Victoria 3086, Australia
3
School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Glen Osmond, SA 5064, Australia
*
Author to whom correspondence should be addressed.
Diversity 2014, 6(1), 88-101; https://doi.org/10.3390/d6010088
Received: 26 November 2013 / Revised: 16 January 2014 / Accepted: 17 January 2014 / Published: 24 January 2014
(This article belongs to the Special Issue Use of Molecular Markers in Genetic Diversity Research)
Detection of genetic diversity is important for characterisation of crop plant collections in order to detect the presence of valuable trait variation for use in breeding programs. A collection of faba bean (Vicia faba L.) genotypes was evaluated for intra- and inter-population diversity using a set of 768 genome-wide distributed single nucleotide polymorphism (SNP) markers, of which 657 obtained successful amplification and detected polymorphisms. Gene diversity and polymorphism information content (PIC) values varied between 0.022–0.500 and 0.023–1.00, with averages of 0.363 and 0.287, respectively. The genetic structure of the germplasm collection was analysed and a neighbour-joining (NJ) dendrogram was constructed. The faba bean accessions grouped into two major groups, with several additional smaller sub-groups, predominantly on the basis of geographical origin. These results were further supported by principal co-ordinate analysis (PCoA), deriving two major groupings which were differentiated on the basis of site of origin and pedigree relationships. In general, high levels of heterozygosity were observed, presumably due to the partially allogamous nature of the species. The results will facilitate targeted crossing strategies in future faba bean breeding programs in order to achieve genetic gain.
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MDPI and ACS Style
Kaur, S.; Cogan, N.O.I.; Forster, J.W.; Paull, J.G. Assessment of Genetic Diversity in Faba Bean Based on Single Nucleotide Polymorphism. Diversity 2014, 6, 88-101.
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