Genetic Diversity, Population Structure and Marker Trait Associations for Quantitative and Qualitative Traits in Tobacco using Microsatellites Markers
Journal Title: International Journal of Agricultural Science and Research (IJASR) - Year 2017, Vol 7, Issue 3
Abstract
The current study was aimed to resolve the genetic diversity and relatedness of Nicotiana Spp. by using randomly distributed simple sequence repeats (SSR) loci across all chromosomes for exploration of marker and trait association. A set of 372 Nicotiana accessions were genotyped using 149 genome wide SSR markers to assess the molecular genetic diversity and genetic relatedness. The study has revealed a total of 1721 alleles with mean PIC value of 0.47 and the mean heterozygosity of 0.53 for various loci. The model based population structure analysis inferred seven distinct subgroups which were further confirmed by classical molecular genetic diversity analysis. AMOVA analysis has explained that 6% of variation was due to difference between groups and the remaining 94% variation could be attributed by difference within groups. The result of cluster method of neighbour joining tree also separated same seven groups like structure analysis revealing that this population panel is suitable for the association analysis. The General, Mixed Linear and Q + ML Models were used to detect associations between markers and traits by considering population structure and relatedness. A total of 56whole genomic SSR markers showed significant associations with fifteen out of fifty four traits. FDR value considered for associations was>0.05. Our analysis revealed, 18 markers associated with chemistry traits. Similarly, a total of 33 markers associated with morphometric characters and 5markersassociated significantly with both chemistry and morph metric traits.
Authors and Affiliations
VN Chakravarthi Dhavala, Bnv Priya, CT Ganesh, U Chidanand, TV Reddy, DL Rudresh, GVS Saiprasad
Keywords
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