Genetic diversity analysis of Gossypium arboreum germplasm accessions using genotyping-by-sequencing

Publication Overview
TitleGenetic diversity analysis of Gossypium arboreum germplasm accessions using genotyping-by-sequencing
AuthorsLi R, Erpelding JE
TypeJournal Article
Journal NameGenetica
Year2016
CitationLi R, Erpelding JE. Genetic diversity analysis of Gossypium arboreum germplasm accessions using genotyping-by-sequencing. Genetica. 2016 Sep 7.

Abstract

The diploid cotton species Gossypium arboreum possesses many favorable agronomic traits such as drought tolerance and disease resistance, which can be utilized in the development of improved upland cotton cultivars. The USDA National Plant Germplasm System maintains more than 1600 G. arboreum accessions. Little information is available on the genetic diversity of the collection thereby limiting the utilization of this cotton species. The genetic diversity and population structure of the G. arboreum germplasm collection were assessed by genotyping-by-sequencing of 375 accessions. Using genome-wide single nucleotide polymorphism sequence data, two major clusters were inferred with 302 accessions in Cluster 1, 64 accessions in Cluster 2, and nine accessions unassigned due to their nearly equal membership to each cluster. These two clusters were further evaluated independently resulting in the identification of two sub-clusters for the 302 Cluster 1 accessions and three sub-clusters for the 64 Cluster 2 accessions. Low to moderate genetic diversity between clusters and sub-clusters were observed indicating a narrow genetic base. Cluster 2 accessions were more genetically diverse and the majority of the accessions in this cluster were landraces. In contrast, Cluster 1 is composed of varieties or breeding lines more recently added to the collection. The majority of the accessions had kinship values ranging from 0.6 to 0.8. Eight pairs of accessions were identified as potential redundancies due to their high kinship relatedness. The genetic diversity and genotype data from this study are essential to enhance germplasm utilization to identify genetically diverse accessions for the detection of quantitative trait loci associated with important traits that would benefit upland cotton improvement.

Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint-Electronic
ISSN1573-6857
eISSN1573-6857
Publication Date2016 Sep 7
Journal AbbreviationGenetica
LanguageEnglish
Language AbbrENG
Publication TypeJournal Article