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Transcriptome analysis of nitrogen-starvation-responsive genes in rice

Overview of attention for article published in BMC Plant Biology, February 2015
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Title
Transcriptome analysis of nitrogen-starvation-responsive genes in rice
Published in
BMC Plant Biology, February 2015
DOI 10.1186/s12870-015-0425-5
Pubmed ID
Authors

Wenzhu Yang, Jinmi Yoon, Heebak Choi, Yunliu Fan, Rumei Chen, Gynheung An

Abstract

BackgroundNitrogen (N), a critical macronutrient for plant growth and development, is a major limiting factor in most agricultural systems. Microarray analyses have been conducted to investigate genome-wide gene expression in response to changes in N concentrations. Although RNA-Seq analysis can provide a more precise determination of transcript levels, it has not previously been employed to investigate the expression of N-starvation-induced genes.ResultsWe constructed cDNA libraries from leaf sheaths and roots of rice plants grown under N-deficient or -sufficient conditions for 12 h. Sequencing the libraries resulted in identification of 33,782 annotated genes. A comparison of abundances revealed 1,650 transcripts that were differentially expressed (fold-change¿¿¿2) due to an N-deficiency. Among them, 1,158 were differentially expressed in the leaf sheaths (548 up-regulated and 610 down-regulated) and 492 in the roots (276 up, 216 down). Among the 36 deficiency-induced genes first identified via RNA-Seq analyses, 34 were subsequently confirmed by qRT-PCR. Our RNA-Seq data identified 8,509 multi-exonic genes with 19,628 alternative splicing events. However, we saw no significant difference in alternative splicing between N-sufficient and -deficient conditions. We found 2,986 novel transcripts, of which 192 were regulated under the N-deficiency.ConclusionWe identified 1,650 genes that were differentially expressed after 12 h of N-starvation. Responses by those genes to a limited supply of N were confirmed by RT-PCR and GUS assays. Our results provide valuable information about N-starvation-responsive genes and will be useful when investigating the signal transduction pathway of N-utilization.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Unknown 140 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 29%
Researcher 24 17%
Professor > Associate Professor 9 6%
Student > Master 9 6%
Student > Doctoral Student 8 6%
Other 16 11%
Unknown 35 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 56%
Biochemistry, Genetics and Molecular Biology 18 13%
Environmental Science 2 1%
Linguistics 1 <1%
Computer Science 1 <1%
Other 3 2%
Unknown 38 27%
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 05 February 2015.
All research outputs
#18,395,201
of 22,785,242 outputs
Outputs from BMC Plant Biology
#2,087
of 3,241 outputs
Outputs of similar age
#256,622
of 352,352 outputs
Outputs of similar age from BMC Plant Biology
#54
of 88 outputs
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