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Genome-wide characterization and expression analysis of MYB transcription factors in Gossypium hirsutum

Overview of attention for article published in BMC Genomic Data, September 2016
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Title
Genome-wide characterization and expression analysis of MYB transcription factors in Gossypium hirsutum
Published in
BMC Genomic Data, September 2016
DOI 10.1186/s12863-016-0436-8
Pubmed ID
Authors

Haron Salih, Wenfang Gong, Shoupu He, Gaofei Sun, Junling Sun, Xiongming Du

Abstract

MYB family proteins are one of the most abundant transcription factors in the cotton plant and play diverse roles in cotton growth and evolution. Previously, few studies have been conducted in upland cotton, Gossypium hirsutum. The recent release of the G. hirsutum genome sequence provides a great opportunity to identify and characterize the entire upland cotton MYB protein family. In this study, we undertook a comprehensive genome-wide characterization and expression analysis of the MYB transcription factor family during cotton fiber development. A total of 524 non-redundant cotton MYB genes, among 1986 MYB and MYB-related putative proteins, were identified and classified into four subfamilies including 1R-MYB, 2R-MYB, 3R-MYB, and 4R-MYB. Based on phylogenetic tree analysis, MYB transcription factors were divided into 16 subgroups. The results showed that the majority (69.1 %) of GhMYBs genes belong to the 2R-MYB subfamily in upland cotton. Our comparative genomics analysis has provided novel insights into the roles of MYB transcription factors in cotton fiber development. These results provide the basis for a greater understanding of MYB regulatory networks and to develop new approaches to improve cotton fiber development.

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The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 9 19%
Student > Master 5 10%
Student > Postgraduate 4 8%
Lecturer 3 6%
Other 4 8%
Unknown 13 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 48%
Biochemistry, Genetics and Molecular Biology 10 21%
Immunology and Microbiology 1 2%
Medicine and Dentistry 1 2%
Chemistry 1 2%
Other 0 0%
Unknown 12 25%
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 09 September 2016.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#300,725
of 340,279 outputs
Outputs of similar age from BMC Genomic Data
#27
of 32 outputs
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