Genome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population

Publication Overview
TitleGenome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population
AuthorsLi C, Dong Y, Zhao T, Li L, Li C, Yu E, Mei L, Daud MK, He Q, Chen J, Zhu S
TypeJournal Article
Journal NameFrontiers in plant science
Volume7
Year2016
Page(s)1356
CitationLi C, Dong Y, Zhao T, Li L, Li C, Yu E, Mei L, Daud MK, He Q, Chen J, Zhu S. Genome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population. Frontiers in plant science. 2016; 7:1356.

Abstract

It is of significance to discover genes related to fiber quality and yield traits and tightly linked markers for marker-assisted selection (MAS) in cotton breeding. In this study, 188 F8 recombinant inbred lines (RILs), derived from a intraspecific cross between HS46 and MARCABUCAG8US-1-88 were genotyped by the cotton 63K single nucleotide polymorphism (SNP) assay. Field trials were conducted in Sanya, Hainan Province, during the 2014-2015 cropping seasons under standard conditions. Results revealed significant differences (P < 0.05) among RILs, environments and replications for fiber quality and yield traits. Broad-sense heritabilities of all traits including fiber length, fiber uniformity, micronaire, fiber elongation, fiber strength, boll weight, and lint percentage ranged from 0.26 to 0.66. A 1784.28 cM (centimorgans) linkage map, harboring 2618 polymorphic SNP markers, was constructed, which had 0.68 cM per marker density. Seventy-one quantitative trait locus (QTLs) for fiber quality and yield traits were detected on 21 chromosomes, explaining 4.70∼32.28% phenotypic variance, in which 16 were identified as stable QTLs across two environments. Meanwhile, 12 certain regions were investigated to be involved in the control of one (hotspot) or more (cluster) traits, mainly focused on Chr05, Chr09, Chr10, Chr14, Chr19, and Chr20. Nineteen pairs of epistatic QTLs (e-QTLs) were identified, of which two pairs involved in two additive QTLs. These additive QTLs, e-QTLs, and QTL clusters were tightly linked to SNP markers, which may serve as target regions for map-based cloning, gene discovery, and MAS in cotton breeding.

Features
This publication contains information about 87 features:
Feature NameUniquenameType
fiber uniformityqFU.HSM-RIL_ch09.bg14.3QTL
fiber uniformityqFU.HSM-RIL_ch09.bg14.4QTL
fiber uniformityqFU.HSM-RIL_ch09.yc14.1QTL
fiber uniformityqFU.HSM-RIL_ch09.yc14.2QTL
fiber uniformityqFU.HSM-RIL_ch09.yc14.3QTL
fiber uniformityqFU.HSM-RIL_ch09.yc14.4QTL
lint percentqLP.HSM-RIL_ch10.bg14QTL
lint percentqLP.HSM-RIL_ch10.yc14.1QTL
lint percentqLP.HSM-RIL_ch10.yc14.2QTL
lint percentqLP.HSM-RIL_ch12.bg14QTL
lint percentqLP.HSM-RIL_ch12.yc14.1QTL
lint percentqLP.HSM-RIL_ch12.yc14.2QTL
lint percentqLP.HSM-RIL_ch14.bg14.1QTL
lint percentqLP.HSM-RIL_ch14.bg14.2QTL
lint percentqLP.HSM-RIL_ch16.yc14QTL
lint percentqLP.HSM-RIL_ch17.bg14QTL
lint percentqLP.HSM-RIL_ch20.yc14QTL
lint percentqLP.HSM-RIL_ch21.bg14QTL
lint percentqLP.HSM-RIL_ch21.yc14QTL
lint percentqLP.HSM-RIL_ch22.yc14QTL
lint percentqLP.HSM-RIL_ch03.yc14QTL
lint percentqLP.HSM-RIL_ch04.bg14QTL
lint percentqLP.HSM-RIL_ch04.yc14QTL
lint percentqLP.HSM-RIL_ch05.yc14QTL
micronaireqMIC.HSM-RIL_ch01.yc14QTL

Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
HSM-RIL-2016
Featuremaps
This publication contains information about 1 maps:
Map Name
HS-46 x MARCABUCAG8US-1-88, RIL (2016)
Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic-eCollection
ISSN1664-462X
eISSN1664-462X
Publication Date2016
Journal AbbreviationFront Plant Sci
DOI10.3389/fpls.2016.01356
Elocation10.3389/fpls.2016.01356
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountrySwitzerland