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Uncovering SNP and indel variations of tetraploid cottons by SLAF-seq

Overview of attention for article published in BMC Genomics, March 2017
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Title
Uncovering SNP and indel variations of tetraploid cottons by SLAF-seq
Published in
BMC Genomics, March 2017
DOI 10.1186/s12864-017-3643-4
Pubmed ID
Authors

Chao Shen, Xin Jin, De Zhu, Zhongxu Lin

Abstract

Cotton (Gossypium spp.), as the world's most utilized textile fibre source, is an important, economically valuable crop worldwide. Understanding the genomic variation of tetraploid cotton species is important for exploitation of the excellent characteristics of wild cotton and for improving the diversity of cotton in breeding. However, the discovery of DNA polymorphisms in tetraploid cotton genomes has lagged behind other important crops. A total of 111,795,823 reads, 467,735 specific length amplified fragment (SLAF) tags and 139,176 high-quality DNA polymorphisms were identified using specific length amplified fragment sequencing (SLAF-seq), including 132,880 SNPs and 6,296 InDels between the reference genome (TM-1) and the five tetraploid cotton species. Intriguingly, gene ontology (GO) enrichment analysis revealed that a number of significant terms were related to reproduction in G. barbadense acc. 3-79. Based on the new data sets, we reconstructed phylogenetic trees that showed a high concordance to the phylogeny of diploid and polyploid cottons. A large amount of interspecific genetic variations were identified, and some of them were validated by the single-strand conformation polymorphism (SSCP) method, which will be applied in introgression genetics and breeding with G. hirsutum cv. Emian22 as the receptor and the other species as donors. Using SLAF-seq, a large number of DNA polymorphisms were identified. The comprehensive analysis of DNA polymorphisms provided invaluable insights into the different tetraploid cotton species. More importantly, the identification of numerous interspecific genetic variations provides the basis and is very practical for future introgression breeding. The results presented herein provide a valuable genomic resource for new insights into the genetics and breeding of cotton.

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Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 38%
Student > Ph. D. Student 6 29%
Student > Doctoral Student 3 14%
Professor 1 5%
Lecturer 1 5%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 67%
Biochemistry, Genetics and Molecular Biology 5 24%
Nursing and Health Professions 1 5%
Unknown 1 5%
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 24 March 2017.
All research outputs
#18,539,663
of 22,961,203 outputs
Outputs from BMC Genomics
#8,217
of 10,686 outputs
Outputs of similar age
#235,374
of 309,217 outputs
Outputs of similar age from BMC Genomics
#150
of 203 outputs
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