Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton

Shen, Xinlian; Guo, Wangzhen; Lu, Qiongxian; Zhu, Xiefei; Yuán, Yǒulù; Zhang, Tianzhen

doi:10.1007/s10681-006-9338-6

Cited by 177 publications

(168 citation statements)

References 29 publications

Supporting

Mentioning

144

Contrasting

Unclassified

Order By: Relevance

“…The assignment of linkage groups to chromosomes was based on backbone linkage maps [4,8,9,13,14,26]. When no chromosome inference was available, the linkage group was described as un××, where ×× refers to its serial number.…”

Section: Map Construction and Qtl Analysismentioning

confidence: 99%

“…With the changes in spinning technology and diversificated uses, the improvement of cotton fiber quality is becoming extremely important [3]. However, fiber quality has a negative genetic correlation with lint yield [4,5], which has long been a major problem in cotton breeding. Recently, Chen et al [6] integrated genome-wide expression profiling markers with linkage analysis to reveal the molecular mechanisms underlying fiber differential development between G. barbadense and G. hirsutum.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.)

Liang

Hua

et al. 2013

Chin. Sci. Bull.

View full text Add to dashboard Cite

With the development in spinning technology, the improvement of cotton fiber quality is becoming more and more important. The main objective of this research was to construct a high-density genetic linkage map to facilitate marker assisted selection for fiber quality traits in upland cotton (Gossypium hirsutum L.). A genetic linkage map comprising 421 loci and covering 3814.3 cM, accounting for approximately 73.35% of the cotton genome, was constructed using an F 2 population derived from cross GX1135 (P 1 )×GX100-2 (P 2 ). Forty-four of 49 linkage groups were assigned to the 26 chromosomes. Fiber quality traits were investigated in F 2 population sampled from individuals, and in F 2:3 , and F 2:4 generations sampled by lines from two sites and one respectively, and each followed a randomized complete block design with two replications. Thirty-nine quantitative trait loci were detected for five fiber quality traits with data from single environments (separate analysis each): 12 for fiber length, five for fiber uniformity, nine for fiber strength, seven for fiber elongation, and six for fiber micronaire, whereas 15 QTLs were found in combined analysis (data from means of different environments in F 2:3 generation). Among these QTLs, qFL-chr5-2 and qFL-chr14-2 for fiber length were detected simultaneously in three generations (four environments) and verified further by combined analysis, and these QTLs should be useful for marker assisted selection to improve fiber quality in upland cotton.upland cotton (Gossypium hirsutum L.), fiber quality traits, genetic linkage map, marker assisted selection, QTLs Citation:Liang Q Z, Hu C, Hua H, et al. Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.). Chin Sci Bull, 2013, 58: 32333243,

show abstract

Section: Map Construction and Qtl Analysismentioning

confidence: 99%

mentioning

confidence: 99%

Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.)

Liang

Hua

et al. 2013

Chin. Sci. Bull.

View full text Add to dashboard Cite

show abstract

“…RILs have already begun to contribute to QTL definition, e.g. for a G. hirsutum 3 G. barbadense cross (Frelichowski et al, 2006) and intraspecific crosses within G. hirsutum (Ulloa et al, 2005;Abdurakhmonov et al, 2007;Shen et al, 2007). Nearisogenic disomic substitution lines of G. hirsutum enable the localization of net phenotypic effects.…”

Section: What Resources Are Available?mentioning

confidence: 99%

Toward Sequencing Cotton (Gossypium) Genomes: Figure 1.

et al. 2007

Self Cite

View full text Add to dashboard Cite

Despite rapidly decreasing costs and innovative technologies, sequencing of angiosperm genomes is not yet undertaken lightly. Generating larger amounts of sequence data more quickly does not address the difficulties of sequencing and assembling complex genomes de novo. The cotton (Gossypium spp.) genomes represent a challenging case. To this end, a coalition of cotton genome scientists has developed a strategy for sequencing the cotton genomes, which will vastly expand opportunities for cotton research and improvement worldwide.

show abstract

“…However, these genomic tools are handicapped because limited genetic diversity is available in the cotton gene pools of cultivated types (Bertini et al, 2006;Guang et al, 2006;Khan et al, 2009;Tyagi et al, 2014). Molecular markers, predominantly SSR markers, have been extensively utilized in the genetic studies of cotton, such as molecular tagging of important traits, diversity analysis, population structure studies, and construction of molecular maps (Han et al, 2006;He et al, 2007;Shen et al, 2007;Wu et al, 2009;Doğan et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Estimating genetic diversity among selected cotton genotypes and the identificationof DNA markers associated with resistance to cotton leaf curl disease

Abbas¹,

Iqbal²,

Rahman³

et al. 2015

Turk J Bot

View full text Add to dashboard Cite

To the extent of our knowledge, applications of DNA markers in marker-assisted breeding of cotton are handicapped due to low genetic diversity in cotton germplasm. Cotton leaf curl disease, a disease of viral origin, has substantially depressed cotton production in Pakistan, and this disease is also an emerging threat to the neighboring cotton-growing countries like China and India. The present study was designed to identify DNA markers, predominately simple sequence repeats (SSRs), associated with tolerance and/or resistance to the disease. Based upon 2 years of disease-screening field experiments, a total of 10 cotton genotypes (five highly tolerant, four highly susceptible, and one immune) of diverse origin were selected from the available cotton germplasm (~1200 accessions) of the National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan. In total, 322 SSRs derived from bacterial artificial chromosome end sequences of Gossypium raimondii (one of the progenitor species of cultivated tetraploid cotton) were screened. Out of these, 65 primer pairs were found polymorphic, and the extent of genetic similarity was in the range of 81.7% to 98.7%. A similarity matrix was used for studying their phylogenetic relationship using unweighted pair-group method with arithmetic means (UPGMA) analysis. The dendrogram showed the grouping of the genotypes into two distinct clusters comprising tolerant and susceptible genotypes, respectively. Out of the polymorphic markers, two SSR markers, PR-91 and CM-43, that were amplified only in tolerant genotypes showed significant association with resistance to the disease. These preliminary results set the stage for initiating indepth marker-trait association studies, which will be instrumental for initiating marker-assisted breeding in cotton.

show abstract

Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton

Cited by 177 publications

References 29 publications

Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.)

Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.)

Toward Sequencing Cotton (Gossypium) Genomes: Figure 1.

Estimating genetic diversity among selected cotton genotypes and the identificationof DNA markers associated with resistance to cotton leaf curl disease

Contact Info

Product

Resources

About