Genetic diversity, population structure and marker trait associations for seed quality traits in cotton (Gossypium hirsutum)

Publication Overview
TitleGenetic diversity, population structure and marker trait associations for seed quality traits in cotton (Gossypium hirsutum)
AuthorsBadigannavar A, Myers GO
TypeJournal Article
Journal NameJournal of genetics
Volume94
Issue1
Year2015
Page(s)87-94
CitationBadigannavar A, Myers GO. Genetic diversity, population structure and marker trait associations for seed quality traits in cotton (Gossypium hirsutum). Journal of genetics. 2015 Mar; 94(1):87-94.

Abstract

Cottonseed contains 16% seed oil and 23% seed protein by weight. High levels of palmitic acid provides a degree of stability to the oil, while the presence of bound gossypol in proteins considerably changes their properties, including their biological value. This study uses genetic principles to identify genomic regions associated with seed oil, protein and fibre content in upland cotton cultivars. Cotton association mapping panel representing the US germplasm were genotyped using amplified fragment length polymorphism markers, yielding 234 polymorphic DNA fragments. Phenotypic analysis showed high genetic variability for the seed traits, seed oil range from 6.47-25.16%, protein from 1.85-28.45% and fibre content from 15.88-37.12%. There were negative correlations between seed oil and protein content.With reference to genetic diversity, the average estimate of FST was 8.852 indicating a low level of genetic differentiation among subpopulations. The AMOVA test revealed that variation was 94% within and 6% among subpopulations. Bayesian population structure identified five subpopulations and was in agreement with their geographical distribution. Among the mixed models analysed, mixed linear model (MLM) identified 21 quantitative trait loci for lint percentage and seed quality traits, such as seed protein and oil. Establishing genetic diversity, population structure and marker trait associations for the seed quality traits could be valuable in understanding the genetic relationships and their utilization in breeding programmes.

Features
This publication contains information about 39 features:
Feature NameUniquenameType
seed oil contentqSOC.BM-AM-2015.E5M7_195QTL
seed oil contentqSOC.BM-AM-2015.E4M3_214QTL
seed oil contentqSOC.BM-AM-2015.E6M4_358QTL
seed oil contentqSOC.BM-AM-2015.E3M6_260QTL
seed protein contentqSPC.BM-AM-2015.E6M2_640QTL
seed protein contentqSPC.BM-AM-2015.E4M1_382QTL
seed protein contentqSPC.BM-AM-2015.E4M4_217QTL
seed protein contentqSPC.BM-AM-2015.E4M1_353QTL
seed protein contentqSPC.BM-AM-2015.E6M3_190QTL
seed coat percentqSCP.BM-AM-2015.E3M6_260QTL
seed coat percentqSCP.BM-AM-2015.E5M5_415QTL
seed coat percentqSCP.BM-AM-2015.E3M2_145QTL
seed coat percentqSCP.BM-AM-2015.E6M4_303QTL
seed coat percentqSCP.BM-AM-2015.E3M8_125QTL

Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
BM-AM-2015
Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint
ISSN0973-7731
eISSN0973-7731
Publication Date2015 Mar
Journal AbbreviationJ. Genet.
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryIndia