Literature DB >> 25846880

Genetic diversity, population structure and marker trait associations for seed quality traits in cotton (Gossypium hirsutum).

Ashok Badigannavar1, Gerald O Myers.   

Abstract

Cottonseed contains 16% seed oil and 23% seed protein by weight. High levels of palmitic acid provides a degree of stability to the oil, while the presence of bound gossypol in proteins considerably changes their properties, including their biological value. This study uses genetic principles to identify genomic regions associated with seed oil, protein and fibre content in upland cotton cultivars. Cotton association mapping panel representing the US germplasm were genotyped using amplified fragment length polymorphism markers, yielding 234 polymorphic DNA fragments. Phenotypic analysis showed high genetic variability for the seed traits, seed oil range from 6.47-25.16%, protein from 1.85-28.45% and fibre content from 15.88-37.12%. There were negative correlations between seed oil and protein content.With reference to genetic diversity, the average estimate of FST was 8.852 indicating a low level of genetic differentiation among subpopulations. The AMOVA test revealed that variation was 94% within and 6% among subpopulations. Bayesian population structure identified five subpopulations and was in agreement with their geographical distribution. Among the mixed models analysed, mixed linear model (MLM) identified 21 quantitative trait loci for lint percentage and seed quality traits, such as seed protein and oil. Establishing genetic diversity, population structure and marker trait associations for the seed quality traits could be valuable in understanding the genetic relationships and their utilization in breeding programmes.

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Year:  2015        PMID: 25846880     DOI: 10.1007/s12041-015-0489-x

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  25 in total

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Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

5.  Maternal effects and generation mean analysis of seed-oil content in cotton (Gossypium hirsutum L.).

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Journal:  Theor Appl Genet       Date:  1989-04       Impact factor: 5.699

6.  AFLP: a new technique for DNA fingerprinting.

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7.  Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield.

Authors:  Jianyi Zhao; Heiko C Becker; Dongqing Zhang; Yaofeng Zhang; Wolfgang Ecke
Journal:  Theor Appl Genet       Date:  2006-04-14       Impact factor: 5.699

8.  Mapping quantitative trait loci for lint yield and fiber quality across environments in a Gossypium hirsutum × Gossypium barbadense backcross inbred line population.

Authors:  Jiwen Yu; Ke Zhang; Shuaiyang Li; Shuxun Yu; Honghong Zhai; Man Wu; Xingli Li; Shuli Fan; Meizhen Song; Daigang Yang; Yunhai Li; Jinfa Zhang
Journal:  Theor Appl Genet       Date:  2012-10-12       Impact factor: 5.699

9.  Molecular tagging of erucic acid trait in oilseed mustard (Brassica juncea) by QTL mapping and single nucleotide polymorphisms in FAE1 gene.

Authors:  V Gupta; A Mukhopadhyay; N Arumugam; Y S Sodhi; D Pental; A K Pradhan
Journal:  Theor Appl Genet       Date:  2003-10-16       Impact factor: 5.699

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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  6 in total

1.  Identification and analysis of oil candidate genes reveals the molecular basis of cottonseed oil accumulation in Gossypium hirsutum L.

Authors:  Zhibin Zhang; Juwu Gong; Zhen Zhang; Wankui Gong; Junwen Li; Yuzhen Shi; Aiying Liu; Qun Ge; Jingtao Pan; Senmiao Fan; Xiaoying Deng; Shaoqi Li; Quanjia Chen; Youlu Yuan; Haihong Shang
Journal:  Theor Appl Genet       Date:  2021-10-29       Impact factor: 5.699

2.  Detection of Favorable QTL Alleles and Candidate Genes for Lint Percentage by GWAS in Chinese Upland Cotton.

Authors:  Junji Su; Shuli Fan; Libei Li; Hengling Wei; Caixiang Wang; Hantao Wang; Meizhen Song; Chi Zhang; Lijiao Gu; Shuqi Zhao; Guangzhi Mao; Chengshe Wang; Chaoyou Pang; Shuxun Yu
Journal:  Front Plant Sci       Date:  2016-10-21       Impact factor: 5.753

3.  Genome-Wide Association Study Identifies Candidate Genes Related to Seed Oil Composition and Protein Content in Gossypium hirsutum L.

Authors:  Yanchao Yuan; Xianlin Wang; Liyuan Wang; Huixian Xing; Qingkang Wang; Muhammad Saeed; Jincai Tao; Wei Feng; Guihua Zhang; Xian-Liang Song; Xue-Zhen Sun
Journal:  Front Plant Sci       Date:  2018-10-22       Impact factor: 5.753

Review 4.  Genetics, Breeding and Genetic Engineering to Improve Cottonseed Oil and Protein: A Review.

Authors:  Man Wu; Wenfeng Pei; Tom Wedegaertner; Jinfa Zhang; Jiwen Yu
Journal:  Front Plant Sci       Date:  2022-03-10       Impact factor: 5.753

Review 5.  Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton.

Authors:  Hao Niu; Qun Ge; Haihong Shang; Youlu Yuan
Journal:  Front Genet       Date:  2022-03-31       Impact factor: 4.772

6.  Dissection of complicate genetic architecture and breeding perspective of cottonseed traits by genome-wide association study.

Authors:  Xiongming Du; Shouye Liu; Junling Sun; Gengyun Zhang; Yinhua Jia; Zhaoe Pan; Haitao Xiang; Shoupu He; Qiuju Xia; Songhua Xiao; Weijun Shi; Zhiwu Quan; Jianguang Liu; Jun Ma; Baoyin Pang; Liru Wang; Gaofei Sun; Wenfang Gong; Johnie N Jenkins; Xiangyang Lou; Jun Zhu; Haiming Xu
Journal:  BMC Genomics       Date:  2018-06-13       Impact factor: 3.969

  6 in total

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