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Transcriptome profiling of differentially expressed genes in floral buds and flowers of male sterile and fertile lines in watermelon

Overview of attention for article published in BMC Genomics, November 2015
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Title
Transcriptome profiling of differentially expressed genes in floral buds and flowers of male sterile and fertile lines in watermelon
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2186-9
Pubmed ID
Authors

Sun-Ju Rhee, Minseok Seo, Yoon-Jeong Jang, Seoae Cho, Gung Pyo Lee

Abstract

Male sterility is an important mechanism for the production of hybrid seeds in watermelon. Although fruit development has been studied extensively in watermelon, there are no reports on gene expression in floral organs. In this study, RNA-sequencing (RNA-seq) was performed in two near-isogenic watermelon lines (genic male sterile [GMS] line, DAH3615-MS and male fertile line, DAH3615) to identify the differentially expressed genes (DEGs) related to male sterility. DEG analysis showed that 1259 genes were significantly associated with male sterility at a FDR P-value of < 0.01. Most of these genes were only expressed in the male fertile line. In addition, 11 functional clusters were identified using DAVID functional classification analysis. Of detected genes in RNA-seq analysis, 19 were successfully validated by qRT-PCR. In this study, we carried out a comprehensive floral transcriptome sequence comparison of a male fertile line and its near-isogenic male sterile line in watermelon. This analysis revealed essential genes responsible for stamen development, including pollen development and pollen tube elongation, and allowed their functional classification. These results provided new information on global mechanisms related to male sterility in watermelon.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Ph. D. Student 9 23%
Student > Master 8 20%
Professor > Associate Professor 3 8%
Student > Bachelor 1 3%
Other 2 5%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 55%
Biochemistry, Genetics and Molecular Biology 7 18%
Environmental Science 1 3%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Other 2 5%
Unknown 6 15%
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 11 November 2015.
All research outputs
#17,776,579
of 22,832,057 outputs
Outputs from BMC Genomics
#7,569
of 10,655 outputs
Outputs of similar age
#191,480
of 284,824 outputs
Outputs of similar age from BMC Genomics
#313
of 393 outputs
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