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Genome-wide SSR-based association mapping for fiber quality in nation-wide upland cotton inbreed cultivars in China

Overview of attention for article published in BMC Genomics, May 2016
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Title
Genome-wide SSR-based association mapping for fiber quality in nation-wide upland cotton inbreed cultivars in China
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2662-x
Pubmed ID
Authors

Xinhui Nie, Cong Huang, Chunyuan You, Wu Li, Wenxia Zhao, Chao Shen, Beibei Zhang, Hantao Wang, Zhenhua Yan, Baoshen Dai, Maojun Wang, Xianlong Zhang, Zhongxu Lin

Abstract

Since upland cotton was introduced into China during the 1920s-1950s, hundreds of inbreed cultivars have been developed. To explore the molecular diversity, population structure and elite alleles, 503 inbred cultivars developed in China and some foreign cultivars from the United States and the Soviet Union were collected and analyzed by 494 genome-wide SSRs (Simple Sequence Repeats). Four hundred and ninety-four pairs of SSRs with high polymorphism and uniform distribution on 26 chromosomes were used to scan polymorphisms in 503 nation-wide upland cottons. The programming language R was used to make boxplots for the phenotypic traits in different environments. Molecular marker data and 6 fiber quality traits were analyzed by the method of MLM (mixed linear model) (P + G + Q + K) in the TASSEL software package on the basis of the population structure and linkage disequilibrium analysis. The loci of elite allelic variation and typical materials carrying elite alleles were identified based on phenotypic effect values. A total of 179 markers were polymorphic and generated 426 allele loci; the population based on molecular diversity was classified into seven subpopulations corresponding to pedigree origin, ecological and geographical distribution. The attenuation distance of linkage disequilibrium dropped significantly up to 0-5 cM. Association mapping for fiber quality showed that 216 marker loci were associated with fiber quality traits (P < 0.05) explaining 0.58 % ~ 5.12 % of the phenotypic variation, with an average of 2.70 %. Thirteen marker loci were coincident with other studies, and three were detected for the same trait. Seven quantitative trait loci were related to known genes in fiber development. Based on phenotypic effects, 48 typical materials that contained the elite allele loci related to fiber quality traits were identified and are widely used in practical breeding. The molecular diversity and population structure of 503 nation-wide upland cottons in China were evaluated by 494 genome-wide SSRs, and association mapping for fiber quality revealed known and novel elite alleles. The molecular diversity provides a guide for parental mating in cotton breeding, and the association mapping results will aid in the fine-mapping genes related to fiber quality traits and facilitate further studies on candidate genes.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 6 12%
Student > Bachelor 3 6%
Other 4 8%
Unknown 13 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 54%
Biochemistry, Genetics and Molecular Biology 6 12%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 September 2017.
All research outputs
#18,458,033
of 22,870,727 outputs
Outputs from BMC Genomics
#8,191
of 10,664 outputs
Outputs of similar age
#230,843
of 312,377 outputs
Outputs of similar age from BMC Genomics
#170
of 200 outputs
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