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Genome-wide comparative transcriptome analysis of CMS-D2 and its maintainer and restorer lines in upland cotton

Overview of attention for article published in BMC Genomics, June 2017
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Title
Genome-wide comparative transcriptome analysis of CMS-D2 and its maintainer and restorer lines in upland cotton
Published in
BMC Genomics, June 2017
DOI 10.1186/s12864-017-3841-0
Pubmed ID
Authors

Jianyong Wu, Meng Zhang, Bingbing Zhang, Xuexian Zhang, Liping Guo, Tingxiang Qi, Hailin Wang, Jinfa Zhang, Chaozhu Xing

Abstract

Cytoplasmic male sterility (CMS) conferred by the cytoplasm from Gossypium harknessii (D2) is an important system for hybrid seed production in Upland cotton (G. hirsutum). The male sterility of CMS-D2 (i.e., A line) can be restored to fertility by a restorer (i.e., R line) carrying the restorer gene Rf1 transferred from the D2 nuclear genome. However, the molecular mechanisms of CMS-D2 and its restoration are poorly understood. In this study, a genome-wide comparative transcriptome analysis was performed to identify differentially expressed genes (DEGs) in flower buds among the isogenic fertile R line and sterile A line derived from a backcross population (BC8F1) and the recurrent parent, i.e., the maintainer (B line). A total of 1464 DEGs were identified among the three isogenic lines, and the Rf1-carrying Chr_D05 and its homeologous Chr_A05 had more DEGs than other chromosomes. The results of GO and KEGG enrichment analysis showed differences in circadian rhythm between the fertile and sterile lines. Eleven DEGs were selected for validation using qRT-PCR, confirming the accuracy of the RNA-seq results. Through genome-wide comparative transcriptome analysis, the differential expression profiles of CMS-D2 and its maintainer and restorer lines in Upland cotton were identified. Our results provide an important foundation for further studies into the molecular mechanisms of the interactions between the restorer gene Rf1 and the CMS-D2 cytoplasm.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Researcher 3 13%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Student > Bachelor 1 4%
Other 5 22%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Biochemistry, Genetics and Molecular Biology 3 13%
Computer Science 1 4%
Social Sciences 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 6 26%
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 10 June 2017.
All research outputs
#18,554,389
of 22,979,862 outputs
Outputs from BMC Genomics
#8,220
of 10,687 outputs
Outputs of similar age
#242,014
of 317,335 outputs
Outputs of similar age from BMC Genomics
#175
of 218 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.