Population structure and genetic diversity in common bean accessions from Northeast Brazil

Maria da Conceição Martiniano-Souza 1, *, Maria Celeste Gonçalves-Vidigal 2, Giseli Valentini 2, Julio Cesar Ferreira Elias 2, Larissa Fernanda Sega Xavier 2, Andrea Ariani 3, Paul Gepts 3 and Antonio Félix da Costa 1

1 Department of Agricultural Research, Agronomic Institute of Pernambuco, Recife, Pernambuco, Brazil.
2 Department of Agronomy, Maringa State University, Maringa, Parana, Brazil.
3 Department of Plant Sciences, Section of Crop and Ecosystem Sciences, University of California, Davis, CA, United States of America.
 
Research Article
World Journal of Advanced Research and Reviews, 2021, 12(01), 287–297
Article DOI: 10.30574/wjarr.2021.12.1.0532
 
Publication history: 
Received on 14 September 2021; revised on 15 October 2021; accepted on 17 October 2021
 
Abstract: 
Common bean is of great relevance for several countries, especially those located in tropical regions. Common bean in Brazil has a wide genetic diversity, which is used by breeders to improve this crop. In this study, we used GBS methodology to genotype common bean accessions from Northeast Brazil, and to study its population structure and genetic diversity. After a filtering process, we identified 30,529 high-quality SNPs distributed in 11 linkage groups. The number of SNPs per chromosome ranged from 1,731 to 3,853. The population structure analysis separated the accessions into two subpopulations, according to K=2, one subpopulation with 26 Andean and the other with 60 Middle American accessions. Considering K=3, Middle American accessions were divided into two subpopulations with presence of allele mixture between these two groups. Based on the PCA, we were able to verify a narrow genetic base of accessions belonging to the Andean gene pool, as well as a vast genetic diversity among the accessions from the Middle American gene pool. The knowledge on the genetic diversity among the accessions is of extreme importance to subsidize the common bean breeding programs in Northeast Brazil, and to explore the variability existing in cultivars adapted to the specific bioclimatic conditions.
 
Keywords: 
Genetic variability; Genotyping-by-sequencing; Molecular analysis; Phaseolus vulgaris; Principal component analysis; Single nucleotide polymorphism
 
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