Evidence map›Paper›PMID 31286320›Full record

SynthesisFunctional & integrative genomics2020

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

Shuchi Smita, Amit Katiyar, Sangram Keshari Lenka, Monika Dalal, Amish Kumar, Sanjeet Kumar Mahtha, Gitanjali Yadav, Viswanathan Chinnusamy, Dev Mani Pandey, Kailash Chander Bansal

Abstract readMeta-Analysis
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In one paragraph

Synthesis in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shuchi SmitaICAR-National Bureau of Plant Genetic Resources, Indian Agricultural Research Institute Campus, New Delhi, 110012, India.
Amit KatiyarICAR-National Bureau of Plant Genetic Resources, Indian Agricultural Research Institute Campus, New Delhi, 110012, India.
Sangram Keshari LenkaTERI-Deakin Nanobiotechnology Center, The Energy and Resources Institute, Gurgaon, Haryana, 122001, India.
Monika DalalICAR-National Research Center on Plant Biotechnology, Indian Agricultural Research Institute Campus, New Delhi, 110012, India.
Amish KumarComputational Biology Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Sanjeet Kumar MahthaComputational Biology Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Gitanjali YadavComputational Biology Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Viswanathan ChinnusamyICAR-Division of Plant Physiology, Indian Agricultural Research Institute, New Delhi, 110012, India. viswa_iari@hotmail.com.
Dev Mani PandeyDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India.
Kailash Chander BansalICAR-National Bureau of Plant Genetic Resources, Indian Agricultural Research Institute Campus, New Delhi, 110012, India. kc.bansal@teri.res.in.

Funding

Indian Council of Agricultural Research Phen 2015/2011-12
6 · The paper itself

Abstract

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.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksCold TemperatureDroughtsGenotypeHot TemperatureOryzaQuantitative Trait LociRNA-SeqSalinityStress, PhysiologicalAbiotic stressGene network moduleMeta-analysisQTLsRice (Oryza sativa)Tolerant genotypeTranscriptome

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.