Literature DB >> 22183945

Genetic diversity of sea-island cotton (Gossypium barbadense) revealed by mapped SSRs.

X Q Wang1, C H Feng, Z X Lin, X L Zhang.   

Abstract

In order to evaluate the genetic diversity of sea-island cotton (Gossypium barbadense), 237 commonly mapped SSR markers covering the cotton genome were used to genotype 56 sea-island cotton accessions. A total of 218 polymorphic primer pairs (91.98%) amplified 361 loci, with a mean of 1.66 loci. Polymorphism information content values of the SSR primers ranged from 0.035 to 0.862, with a mean of 0.320. The highest mean polymorphism information content value for the SSR motifs was from a compound motif (0.402), and for the chromosomes it was Chr10 (0.589); the highest ratio of polymorphic primers in Xinjiang accessions was from Chr21 (83.33%). Genetic diversity was high in Xinjiang accessions. AMOVA showed that variation was 8 and 92% among populations and within populations, respectively. The 56 sea-island accessions were divided into three groups in the UPGMA dendrogram: Xinhai5 was in the first group; accessions from Xinjiang, except the five main ones, were in the second group, and the other 34 accessions were in the third group. Accessions from the former Soviet Union and Xinjiang main accessions were closely related. Both PCA and UPGMA confirmed that Xinhai5 was distinct from the other accessions, and accessions from Xinjiang were in an independent group. Given the differences between principal components analysis and UPGMA results, it is necessary to combine molecular markers and pedigree information so that genetic diversity can be objectively analyzed.

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Year:  2011        PMID: 22183945     DOI: 10.4238/2011.December.8.5

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  7 in total

1.  Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense.

Authors:  Yuzhen Shi; Aiying Liu; Junwen Li; Jinfa Zhang; Baocai Zhang; Qun Ge; Muhammad Jamshed; Quanwei Lu; Shaoqi Li; Xianghui Xiang; Juwu Gong; Wankui Gong; Haihong Shang; Xiaoying Deng; Jingtao Pan; Youlu Yuan
Journal:  Mol Genet Genomics       Date:  2019-06-14       Impact factor: 3.291

2.  Assessing genetic diversity among six populations of Gossypium arboreum L. using microsatellites markers.

Authors:  Khushboo Sethi; Priyanka Siwach; Surender Kumar Verma
Journal:  Physiol Mol Biol Plants       Date:  2015-10-24

Review 3.  Molecular markers and cotton genetic improvement: current status and future prospects.

Authors:  Waqas Malik; Javaria Ashraf; Muhammad Zaffar Iqbal; Asif Ali Khan; Abdul Qayyum; Muhammad Ali Abid; Etrat Noor; Muhammad Qadir Ahmad; Ghulam Hasan Abbasi
Journal:  ScientificWorldJournal       Date:  2014-10-23

4.  A BIL Population Derived from G. hirsutum and G. barbadense Provides a Resource for Cotton Genetics and Breeding.

Authors:  Xinhui Nie; Jianli Tu; Bin Wang; Xiaofeng Zhou; Zhongxu Lin
Journal:  PLoS One       Date:  2015-10-30       Impact factor: 3.240

5.  Genome-wide divergence, haplotype distribution and population demographic histories for Gossypium hirsutum and Gossypium barbadense as revealed by genome-anchored SNPs.

Authors:  Umesh K Reddy; Padma Nimmakayala; Venkata Lakshmi Abburi; C V C M Reddy; Thangasamy Saminathan; Richard G Percy; John Z Yu; James Frelichowski; Joshua A Udall; Justin T Page; Dong Zhang; Tariq Shehzad; Andrew H Paterson
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

6.  Genetic diversity, linkage disequilibrium, and association mapping analyses of Gossypium barbadense L. germplasm.

Authors:  Alisher A Abdullaev; Ilkhom B Salakhutdinov; Sharof S Egamberdiev; Ernest E Khurshut; Sofiya M Rizaeva; Mauricio Ulloa; Ibrokhim Y Abdurakhmonov
Journal:  PLoS One       Date:  2017-11-14       Impact factor: 3.240

7.  Genome-wide association analysis reveals loci and candidate genes involved in fiber quality traits in sea island cotton (Gossypium barbadense).

Authors:  Xiujuan Su; Guozhong Zhu; Xiaohui Song; Haijiang Xu; Weixi Li; Xinzhu Ning; Quanjia Chen; Wangzhen Guo
Journal:  BMC Plant Biol       Date:  2020-06-22       Impact factor: 4.215

  7 in total

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