Literature DB >> 26830287

Topological characteristics of target genes regulated by abiotic-stress-responsible miRNAs in a rice interactome network.

Linzhong Zhang1, Hongdong Xuan2, Yongchun Zuo3, Gaojian Xu2, Ping Wang1, Youhong Song4, Shihua Zhang5,6.   

Abstract

A great number of microRNAs (miRNAs) have been identified in responding and acting in gene regulatory networks associated with plant tolerance to abiotic stress conditions, such as drought, salinity, and high temperature. The topological exploration of target genes regulated by abiotic-stress-responsible miRNAs (ASRmiRs) in a network facilitates to discover the molecular basis of plant abiotic stress response. This study was based on the staple food rice (Oryza sativa) in which ASRmiRs were manually curated. After having compared the topological properties of target genes (stress-miR-targets) with those (non-stress-miR-targets) not regulated by ASRmiRs in a rice interactome network, we found that stress-miR-targets exhibited distinguishable topological properties. The interaction probability analysis and k-core decomposition showed that stress-miR-targets preferentially interacted with non-stress-miR-targets and located at the peripheral positions in the network. Our results indicated an obvious topological distinction between the two types of genes, reflecting the specific mechanisms of action of stress-miR-targets in rice abiotic stress response. Also, the results may provide valuable clues to elucidate molecular mechanisms of crop response to abiotic stress.

Entities:  

Keywords:  Abiotic stress; Rice; Target gene; Topological analysis; miRNA

Mesh:

Substances:

Year:  2016        PMID: 26830287     DOI: 10.1007/s10142-016-0481-4

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  49 in total

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4.  Correlated mutations contain information about protein-protein interaction.

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8.  Global transcriptome profiling of wild soybean (Glycine soja) roots under NaHCO3 treatment.

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  2 in total

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Journal:  Funct Integr Genomics       Date:  2016-07-21       Impact factor: 3.410

2.  Multiple Regression Analysis Reveals MicroRNA Regulatory Networks in Oryza sativa under Drought Stress.

Authors:  Jiajia Chen; Liangzhi Li
Journal:  Int J Genomics       Date:  2018-10-04       Impact factor: 2.326

  2 in total

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