Gene network modules associated with abiotic stress response in tolerant rice genotypes identified by transcriptome meta-analysis

被引:0
|
作者
Shuchi Smita
Amit Katiyar
Sangram Keshari Lenka
Monika Dalal
Amish Kumar
Sanjeet Kumar Mahtha
Gitanjali Yadav
Viswanathan Chinnusamy
Dev Mani Pandey
Kailash Chander Bansal
机构
[1] Indian Agricultural Research Institute Campus,ICAR
[2] Birla Institute of Technology,National Bureau of Plant Genetic Resources
[3] University of Pittsburgh School of Medicine,Department of Bio
[4] University of Pittsburgh School of Medicine,Engineering
[5] Indian Council of Medical Research,Department of Immunology
[6] The Energy and Resources Institute,Department of Computational and Systems Biology
[7] Indian Agricultural Research Institute Campus,ICMR
[8] National Institute of Plant Genome Research,AIIMS Computational Genomics Center, Div. of I.S.R.M.
[9] Indian Agricultural Research Institute,TERI
来源
关键词
Rice (; ); Gene network module; Abiotic stress; QTLs; Tolerant genotype; Meta-analysis; Transcriptome;
D O I
暂无
中图分类号
学科分类号
摘要
Abiotic stress tolerance is a complex trait regulated by multiple genes and gene networks in plants. A range of abiotic stresses are known to limit rice productivity. Meta-transcriptomics has emerged as a powerful approach to decipher stress-associated molecular network in model crops. However, retaining specificity of gene expression in tolerant and susceptible genotypes during meta-transcriptome analysis is important for understanding genotype-dependent stress tolerance mechanisms. Addressing this aspect, we describe here “abiotic stress tolerant” (ASTR) genes and networks specifically and differentially expressing in tolerant rice genotypes in response to different abiotic stress conditions. We identified 6,956 ASTR genes, key hub regulatory genes, transcription factors, and functional modules having significant association with abiotic stress–related ontologies and cis-motifs. Out of the 6956 ASTR genes, 73 were co-located within the boundary of previously identified abiotic stress trait–related quantitative trait loci. Functional annotation of 14 uncharacterized ASTR genes is proposed using multiple computational methods. Around 65% of the top ASTR genes were found to be differentially expressed in at least one of the tolerant genotypes under different stress conditions (cold, salt, drought, or heat) from publicly available RNAseq data comparison. The candidate ASTR genes specifically associated with tolerance could be utilized for engineering rice and possibly other crops for broad-spectrum tolerance to abiotic stresses.
引用
收藏
页码:29 / 49
页数:20
相关论文
共 50 条
  • [31] Meta-Analysis of Antioxidant Mutants Reveals Common Alarm Signals for Shaping Abiotic Stress-Induced Transcriptome in Plants
    Mishra, Shefali
    Ganapathi, Thumballi Ramabhatta
    Pandey, Girdhar Kumar
    Foyer, Christine Helen
    Srivastava, Ashish Kumar
    ANTIOXIDANTS & REDOX SIGNALING, 2024, 41 (1-3) : 42 - 55
  • [32] Comparative Transcriptome Analysis of Tolerant and Sensitive Genotypes of Common Bean (Phaseolus vulgaris L.) in Response to Terminal Drought Stress
    Subramani, Mayavan
    Urrea, Carlos A.
    Habib, Rasheed
    Bhide, Ketaki
    Thimmapuram, Jyothi
    Kalavacharla, Venu
    PLANTS-BASEL, 2023, 12 (01):
  • [33] Comparative transcriptome analysis of RNA-seq data for cold-tolerant and cold-sensitive rice genotypes under cold stress
    Chunxiu Shen
    Ding Li
    Ronghua He
    Zhen Fang
    Yumei Xia
    Jing Gao
    Hong Shen
    Mengliang Cao
    Journal of Plant Biology, 2014, 57 : 337 - 348
  • [34] Comparative transcriptome and translatome analysis in contrasting rice genotypes reveals differential mRNA translation in salt-tolerant Pokkali under salt stress
    Yong-Fang Li
    Yun Zheng
    Lakshminarayana R. Vemireddy
    Sanjib Kumar Panda
    Smitha Jose
    Alok Ranjan
    Piyalee Panda
    Ganesan Govindan
    Junxia Cui
    Kangning Wei
    Mahmoud W. Yaish
    Gnanambal Charmaine Naidoo
    Ramanjulu Sunkar
    BMC Genomics, 19
  • [35] Comparative transcriptome and translatome analysis in contrasting rice genotypes reveals differential mRNA translation in salt-tolerant Pokkali under salt stress
    Li, Yong-Fang
    Zheng, Yun
    Vemireddy, Lakshminarayana R.
    Panda, Sanjib Kumar
    Jose, Smitha
    Ranjan, Alok
    Panda, Piyalee
    Govindan, Ganesan
    Cui, Junxia
    Wei, Kangning
    Yaish, Mahmoud W.
    Naidoo, Gnanambal Charmaine
    Sunkar, Ramanjulu
    BMC GENOMICS, 2018, 19
  • [36] Comparative transcriptome analysis of RNA-seq data for cold-tolerant and cold-sensitive rice genotypes under cold stress
    Shen, Chunxiu
    Li, Ding
    He, Ronghua
    Fang, Zhen
    Xia, Yumei
    Gao, Jing
    Shen, Hong
    Cao, Mengliang
    JOURNAL OF PLANT BIOLOGY, 2014, 57 (06) : 337 - 348
  • [37] Transcriptome analysis of table grapes (Vitis viniferaL.) identified a gene network module associated with berry firmness
    Ma, Li
    Sun, Lingjun
    Guo, Yinshan
    Lin, Hong
    Liu, Zhendong
    Li, Kun
    Guo, Xiuwu
    PLOS ONE, 2020, 15 (08):
  • [38] Transcriptome meta-analysis of abiotic stresses-responsive genes and identification of candidate transcription factors for broad stress tolerance in wheat
    Saidi, Mohamed Najib
    Mahjoubi, Habib
    Yacoubi, Ines
    PROTOPLASMA, 2023, 260 (03) : 707 - 721
  • [39] Transcriptome meta-analysis of abiotic stresses-responsive genes and identification of candidate transcription factors for broad stress tolerance in wheat
    Mohamed Najib Saidi
    Habib Mahjoubi
    Ines Yacoubi
    Protoplasma, 2023, 260 : 707 - 721
  • [40] Analysis of Global Gene Expression in Brachypodium distachyon Reveals Extensive Network Plasticity in Response to Abiotic Stress
    Priest, Henry D.
    Fox, Samuel E.
    Rowley, Erik R.
    Murray, Jessica R.
    Michael, Todd P.
    Mockler, Todd C.
    PLOS ONE, 2014, 9 (01):