Frontiers in Plant Science · 2017 · 59 citations · 58 references
The characterization of genetic diversity and population structure can be used in tandem to detect reliable phenotype-genotype associations. In the present study, we genotyped a set of 366 sesame germplasm accessions by using 89,924 single-nucleotide polymorphisms (SNPs). The number of SNPs on each chromosome was consistent with the physical length of the respective chromosome, and the average marker density was approximately 2.67 kb/SNP. The genetic diversity analysis showed that the average nucleotide diversity of the panel was 1.1 × 10<sup>-3</sup>, with averages of 1.0 × 10<sup>-4</sup>, 2.7 × 10<sup>-4</sup>, and 3.6 × 10<sup>-4</sup> obtained, respectively for three identified subgroups of the panel: Pop 1, Pop 2, and the Mixed. The genetic structure analysis revealed that these sesame germplasm accessions were structured primarily along the basis of their geographic collection, and that an extensive admixture occurred in the panel. The genome-wide linkage disequilibrium (LD) analysis showed that an average LD extended up to ∼99 kb. The genetic diversity and population structure revealed in this study should provide guidance to the future design of association studies and the systematic utilization of the genetic variation characterizing the sesame panel.
58
Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2009 · 60.7K citations · Full text
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
Shaun Purcell, Benjamin M. Neale, Katherine EO Todd-Brown et al. · The American Journal of Human Genetics · 2007 · 34.9K citations · Full text
Genome-wide Association Study, Whole-genome Association, Linkage Disequilibrium +12
Inference of Population Structure Using Multilocus Genotype Data
Jonathan K. Pritchard, Matthew Stephens, Peter Donnelly · Genetics · 2000 · 33.7K citations · Full text
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
Aaron McKenna, Matthew G. Hanna, Eric Banks et al. · Genome Research · 2010 · 28.9K citations · Full text