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Identification and expression analysis of genes with pathogen-inducible cis-regulatory elements in the promoter regions in Oryza sativa

Overview of attention for article published in Rice, September 2018
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Title
Identification and expression analysis of genes with pathogen-inducible cis-regulatory elements in the promoter regions in Oryza sativa
Published in
Rice, September 2018
DOI 10.1186/s12284-018-0243-0
Pubmed ID
Authors

Weiwen Kong, Li Ding, Jia Cheng, Bin Wang

Abstract

Complex co-regulatory networks in plants may elicit responses during pathogen infections. A number of genes are activated when these responses take place. Identification of these genes would shed new light on understanding the mechanisms of rice response to pathogen infections and the elucidation of crosstalk among diverse signaling networks in rice disease resistance/susceptibility. Here we report the identification of genes with pathogen-inducible cis-regulatory elements (PICEs) (AS-1, G-box, GCC-box, and H-box) in the promoter regions in rice. Our results showed that a set of 882 rice genes contained these four elements in their promoter regions. Of these genes, 190 encode disease resistance/susceptibility related proteins, and 70 encode transcription factors. Analyses of the available microarray data demonstrated that 357 transcripts were differentially expressed after pathogen infections. 48 out of 53 differentially expressed transcription factors are up-regulated or down-regulated by more than 1.1-fold in response to pathogen infections. Analyses of the public mRNA-Seq data showed that 327 transcripts were differently expressed after pathogen infections. A total of 100 up-regulated genes and 37 down-regulated genes were found in common between the microarray and mRNA-Seq data. We report here a set of rice genes that contain the four PICEs, i.e., AS-1, G-box, GCC-box, and H-box, in their promoter regions, of which, 53.5% were up- or down-regulated when pathogens attack. The PICEs in the gene promoters are critical for rice response to pathogen infections. They are also useful markers for identification of rice genes involved in response to pathogen infections.

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Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Student > Ph. D. Student 6 15%
Researcher 3 7%
Student > Bachelor 2 5%
Unspecified 1 2%
Other 3 7%
Unknown 20 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 27%
Agricultural and Biological Sciences 7 17%
Environmental Science 2 5%
Computer Science 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 19 46%
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 14 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Rice
#310
of 392 outputs
Outputs of similar age
#293,993
of 337,668 outputs
Outputs of similar age from Rice
#9
of 12 outputs
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