Identification of stable QTLs controlling fiber traits properties in multi-environment using recombinant inbred lines in Upland cotton (Gossypium hirsutum L.)

Shang, Lianguang; Liang, Qingzhi; Wang, Yumei; Wang, Xiaocui; Wang, Kunbo; Abduweli, Abdugheni; Ma, Lingling; Cai, Shihu; Hua, Jinping

doi:10.1007/s10681-015-1434-z

Cited by 46 publications

(73 citation statements)

References 40 publications

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“…, , Shang et al. ,c, ; hereinafter referred to as ‘XZ hybrid’), derived from a cross of ‘GX1135’ and ‘GX100‐2’. The other one has common female parent with ‘Xinza 1’, derived from the cross between ‘GX1135’ and ‘VGX100‐2’ (hereinafter referred to as ‘XZV hybrid’).…”

Section: Methodsmentioning

confidence: 99%

“…Plant materials: Two hybrids were employed in present research. One is 'Xinza 1' (Liang et al 2013, 2014, Shang et al 2015b,c, 2016 hereinafter referred to as 'XZ hybrid'), derived from a cross of 'GX1135' and 'GX100-2'. The other one has common female parent with 'Xinza 1', derived from the cross between 'GX1135' and 'VGX100-2' (hereinafter referred to as 'XZV hybrid').…”

Section: Methodsmentioning

confidence: 99%

“…(i) The first population was an RIL population. One hundred and seventyseven RILs of F 10 generation by single seed descent was developed from the F 1 of the XZ hybrid (Xinza 1, Shang et al 2015b). (ii) The second population was an RILV population from XZV hybrid.…”

Section: Methodsmentioning

confidence: 99%

“…The F 1 hybrid 'Ezamian 10' was used as control CK 2 at Xiangyang (E3). It was bred by Huimin Seed Company, Limited (Hubei Province, China) and Biotechnology Research Institute, Chinese Academy of Agricultural Sciences in 2005 and released in Hubei Province as well as in Yangtze River Region (Shang et al 2015b).…”

Section: Methodsmentioning

confidence: 99%

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Genetic analysis and QTL mapping of oil content and seed index using two recombinant inbred lines and two backcross populations in Upland cotton

et al. 2016

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Cottonseed is one of the main by-products of cotton. To explore the genetic composition of oil content (OC) and seed index (SI) is helpful for utilizing the cottonseed. Under multiple environmental conditions, the genetic structures of OC and SI were explored using two recombinant inbred lines (RILs) and corresponding backcross (BC) populations in Upland cotton. Twenty-four and 31 quantitative trait loci (QTLs) for OC and SI, respectively, were detected using composite interval mapping, in which 9 QTLs for OC and 18 QTLs controlling SI were simultaneously identified in more than two environments or two populations. Fortyseven and 37 QTLs with main effects (M-QTLs) for OC and SI and 114 and 74 QTLs involved in digenic interactions (E-QTLs), respectively, identified by inclusive composite interval mapping. On average, the EQTLs explained a larger portion of the phenotypic variation than the MQTLs did. It was concluded that additive effects of single-locus and epistasis derived from complementary loci with few detectable single-locus effects played an important role in oil content and seed index in Upland cotton.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Genetic analysis and QTL mapping of oil content and seed index using two recombinant inbred lines and two backcross populations in Upland cotton

et al. 2016

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“…With respect to cotton, a large number of QTL analyses have been conducted, specifically focused on economically valuable fiber characteristics, with some interest in other agronomically important phenotypes. These analyses have used either different species (Jiang et al 1998;Paterson et al 2003;Mei et al 2004;Lacape et al 2005Lacape et al , 2010Chee et al 2005aChee et al , 2005bDraye et al 2005;Rong et al 2007;Said et al 2015bSaid et al , 2015aWang et al 2016aWang et al , 2017a or different cultivated lines of the same species (Ulloa et al 2005;Zhang et al 2005;Shen et al 2006;Qin et al 2008;Lin et al 2009;Li et al 2012bLi et al , 2013Tang et al 2015;Tan et al 2015Tan et al , 2018Wang et al 2015;Shang et al 2015Shang et al , 2016Jamshed et al 2016) to provide perspectives on the genetic control of various traits. While each contributes to our multi-dimensional understanding of the controls on phenotypes, (1) it is not immediately clear that interspecies QTL are useful in cotton breeding programs (Lin et al 2009;Shang et al 2015;Jamshed et al 2016), and (2) inter-cultivar or inter-line crosses provide a limited perspective on the underlying genetic architecture leading to modern elite lines.…”

Section: Implications For Domestication and Future Prospectsmentioning

confidence: 99%

Genetic analysis of the transition from wild to domesticated cotton (G. hirsutumL.)

Grover

Yoo

Meng

et al. 2019

Preprint

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An F2 population between wild and domesticated cotton was used to identify QTL associated with selection under domestication. Multiple traits characterizing domesticated cotton were evaluated, and candidate genes underlying QTL are described for all traits. QTL are unevenly distributed between subgenomes of the domesticated polyploid, with many fiber QTL located on the genome derived from the D parent, which does not have spinnable fiber, but a majority of QTL overall located on the A subgenome. QTL are many (120) and environmentally labile. These data, together with candidate gene analyses, suggest recruitment of many environmentally responsive factors during cotton domestication. AbstractThe evolution and domestication of cotton is of great interest from both economic and evolutionary standpoints. Although many genetic and genomic resources have been generated for cotton, the genetic underpinnings of the transition from wild to domesticated cotton remain poorly known. Here we generated an intraspecific QTL mapping population specifically targeting domesticated cotton phenotypes. We used 466 F2 individuals derived from an intraspecific cross between the wild Gossypium hirsutum var. yucatanense (TX2094) and the elite cultivar G. hirsutum cv. Acala Maxxa, in two environments, to identify 120 QTL associated with phenotypic changes under domestication. While the number of QTL recovered in each subpopulation was similar, only 22 QTL were considered coincident (i.e., shared) between the two locations, eight of which shared peak markers. Although approximately half of QTL were located in the A-subgenome, many key fiber QTL were detected in the D-subgenome, which was derived from a species with unspinnable fiber. We found that many QTL are environment-specific, with few shared between the two environments, indicating that QTL associated with G. hirsutum domestication are genomically clustered but environmentally labile. Possible candidate genes were recovered and are discussed in the context of the phenotype. We conclude that the evolutionary forces that shape intraspecific divergence and domestication in cotton are complex, and that phenotypic transformations likely involved multiple interacting and environmentally responsive factors.

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Advances and Applicability of Genotyping Technologies in Cotton Improvement

Bhardwaj

Devkar

Kumar

et al. 2022

Genotyping by Sequencing for Crop Improvement

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Identification of stable QTLs controlling fiber traits properties in multi-environment using recombinant inbred lines in Upland cotton (Gossypium hirsutum L.)

Cited by 46 publications

References 40 publications

Genetic analysis and QTL mapping of oil content and seed index using two recombinant inbred lines and two backcross populations in Upland cotton

Genetic analysis and QTL mapping of oil content and seed index using two recombinant inbred lines and two backcross populations in Upland cotton

Genetic analysis of the transition from wild to domesticated cotton (G. hirsutumL.)

Advances and Applicability of Genotyping Technologies in Cotton Improvement

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