Construction of genetic map and QTL analysis of fiber quality traits for Upland cotton (Gossypium hirsutum L.)

Tang, Shiyi; Teng, Zhonghua; Zhai, Tengfei; Fang, Xiaomei; Liu, Fang; Liu, Dajun; Zhang, Jian; Liu, Dexin; Wang, Shunfeng; Zhang, Ke; Shao, Qianshun; Tan, Zhuhua; Paterson, Andrew H.; Zhang, Zhengsheng

doi:10.1007/s10681-014-1189-y

Cited by 91 publications

(69 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The ILs × Environments interaction was the lowest for MIC, suggesting that it is much more stable than the other traits. These conclusions are very similar to those of previous reports92837.…”

Section: Discussionsupporting

confidence: 93%

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Zhang

Zhu

Feng

et al. 2016

Sci Rep

View full text Add to dashboard Cite

Fiber quality improvement is a driving force for further cotton domestication and breeding. Here, QTLs for fiber quality were mapped in 115 introgression lines (ILs) first developed from two intraspecific populations of cultivated and feral cotton landraces. A total of 60 QTLs were found, which explained 2.03–16.85% of the phenotypic variance found in fiber quality traits. A total of 36 markers were associated with five fiber traits, 33 of which were found to be associated with QTLs in multiple environments. In addition, nine pairs of common QTLs were identified; namely, one pair of QTLs for fiber elongation, three pairs for fiber length, three pairs for fiber strength and two pairs for micronaire (qMICs). All common QTLs had additive effects in the same direction in both IL populations. We also found five QTL clusters, allowing cotton breeders to focus their efforts on regions of QTLs with the highest percentages of phenotypic variance. Our results also reveal footprints of domestication; for example, fourteen QTLs with positive effects were found to have remained in modern cultivars during domestication, and two negative qMICs that had never been reported before were found, suggesting that the qMICs regions may be eliminated during artificial selection.

show abstract

Section: Discussionsupporting

confidence: 93%

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Zhang

Zhu

Feng

et al. 2016

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Some stable QTL related to yield traits were obtained, for example, qBS-D8-1 and qLP-D6-1 [31]. At the same time, many available QTL related to fiber length and fiber strength were also detected in previous studies, distributing on D3 and D11 [32], A1, D5 and D9 [24], A9 [3,23]. …”

Section: Introductionmentioning

confidence: 94%

“…These reasons hinder the development of QTL mapping in upland cotton. At present, hundreds of QTL related to fiber quality and yield traits have been obtained using population genetics in upland cotton [3,23–30]. Some stable QTL related to yield traits were obtained, for example, qBS-D8-1 and qLP-D6-1 [31].…”

Section: Introductionmentioning

confidence: 99%

Identification of QTL for Fiber Quality and Yield Traits Using Two Immortalized Backcross Populations in Upland Cotton

Wang¹,

Huang²,

Zhao³

et al. 2016

PLoS ONE

View full text Add to dashboard Cite

Two immortalized backcross populations (DHBCF1s and JMBCF1s) were developed using a recombinant inbred line (RIL) population crossed with the two parents DH962 and Jimian5 (as the males), respectively. The fiber quality and yield component traits of the two backcross populations were phenotyped at four environments (two locations, two years). One hundred seventy-eight quantitative trait loci (QTL) were detected including 76 for fiber qualities and 102 for yield components, explaining 4.08–17.79% of the phenotypic variation (PV). Among the 178 QTL, 22 stable QTL were detected in more than one environment or population. A stable QTL, qFL-c10-1, was detected in the previous F2 population, a RIL population in 3 environments and the current two BCF1 populations in this study, explaining 5.79–37.09% of the PV. Additionally, 117 and 110 main-effect QTL (M-QTL) and 47 and 191 digenic epistatic QTL (E-QTL) were detected in the DHBCF1s and JMBCF1s populations, respectively. The effect of digenic epistasis played a more important role on lint percentage, fiber length and fiber strength. These results obtained in the present study provided more resources to obtain stable QTL, confirming the authenticity and reliability of the QTL for molecular marker-assisted selection breeding and QTL cloning.

show abstract

“…Several methods have been pursued to develop SSR markers in cottons, including analysis of SSR-enriched small insert genomic DNA libraries (Kalia et al, 2011;Udall et al, 2006;Ince et al, 2010;Richard et al, 1995), SSR mining from ESTs (Shaheen et al, 2009), and large-insert BAC derivation by end sequence analysis (Reddy et al, 2002).Cotton researchers have explored simple sequence repeats (SSRs) for studies the phylogenetic and diversity analysis (He et al, 2007;Lacape et al, 2007)genetic mapping and QTL analysis for different traits Lacape et al,2009;Park et al,2005;Xiao et al,2009;Yu et al, 2012, Michael et al, 2014and Tang, et al, 2015, association mapping (Kantartzi and stewart, 2008).…”

Section: Simple Sequence Repeats (Ssr)mentioning

confidence: 99%

Molecular Markers in Cotton Improvement

Meena¹,

Kumar²,

Katageri³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

Construction of genetic map and QTL analysis of fiber quality traits for Upland cotton (Gossypium hirsutum L.)

Cited by 91 publications

References 43 publications

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Identification of QTL for Fiber Quality and Yield Traits Using Two Immortalized Backcross Populations in Upland Cotton

Molecular Markers in Cotton Improvement

Contact Info

Product

Resources

About