Evidence map›Paper›PMID 26406536›Full record

ArticleOmics : a journal of integrative biology2015

Harnessing Next Generation Sequencing in Climate Change: RNA-Seq Analysis of Heat Stress-Responsive Genes in Wheat (Triticum aestivum L.).

Ranjeet R Kumar, Suneha Goswami, Sushil K Sharma, Yugal K Kala, Gyanendra K Rai, Dwijesh C Mishra, Monendra Grover, Gyanendra P Singh, Himanshu Pathak, Anil Rai and 2 more

Abstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. When genes turn traitor:Frontiers in plant science · 2025
    Article
  5. Review
  6. Article
  7. Discovering the regulators of heat stress tolerance inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  8. Article
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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

12 authors.

Ranjeet R Kumar1 Division of Biochemistry, Indian Agricultural Research Institute , New Delhi, India .
Suneha Goswami1 Division of Biochemistry, Indian Agricultural Research Institute , New Delhi, India .
Sushil K Sharma1 Division of Biochemistry, Indian Agricultural Research Institute , New Delhi, India .
Yugal K Kala2 Division of Genetics, Indian Agricultural Research Institute , New Delhi, India .
Gyanendra K Rai3 Sher-e-Kashmir University of Agricultural Sciences and Technology , Jammu, India .
Dwijesh C Mishra4 Centre for Agricultural Bio-Informatics (CAB-in), Indian Agricultural Statistics Research Institute (IASRI) , New Delhi, India .
Monendra Grover4 Centre for Agricultural Bio-Informatics (CAB-in), Indian Agricultural Statistics Research Institute (IASRI) , New Delhi, India .
Gyanendra P Singh
Himanshu Pathak6 Division of CESCRA, Indian Agricultural Research Institute , New Delhi, India .
Anil Rai4 Centre for Agricultural Bio-Informatics (CAB-in), Indian Agricultural Statistics Research Institute (IASRI) , New Delhi, India .
Viswanathan Chinnusamy7 Division of Plant Physiology, Indian Agricultural Research Institute , New Delhi, India .
Raj D Rai1 Division of Biochemistry, Indian Agricultural Research Institute , New Delhi, India .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat is a staple food worldwide and provides 40% of the calories in the diet. Climate change and global warming pose a threat to wheat production, however, and demand a deeper understanding of how heat stress might impact wheat production and wheat biology. However, it is difficult to identify novel heat stress associated genes when the genomic information is not available. Wheat has a very large and complex genome that is about 37 times the size of the rice genome. The present study sequenced the whole transcriptome of the wheat cv. HD2329 at the flowering stage, under control (22°±3°C) and heat stress (42°C, 2 h) conditions using Illumina HiSeq and Roche GS-FLX 454 platforms. We assembled more than 26.3 and 25.6 million high-quality reads from the control and HS-treated tissues transcriptome sequences respectively. About 76,556 (control) and 54,033 (HS-treated) contigs were assembled and annotated de novo using different assemblers and a total of 21,529 unigenes were obtained. Gene expression profile showed significant differential expression of 1525 transcripts under heat stress, of which 27 transcripts showed very high (>10) fold upregulation. Cellular processes such as metabolic processes, protein phosphorylation, oxidations-reductions, among others were highly influenced by heat stress. In summary, these observations significantly enrich the transcript dataset of wheat available on public domain and show a de novo approach to discover the heat-responsive transcripts of wheat, which can accelerate the progress of wheat stress-genomics as well as the course of wheat breeding programs in the era of climate change.

Indexed as

Gene Expression Regulation, PlantGenome, PlantTranscriptomeClimate ChangeContig MappingFlowersGene Expression ProfilingGene OntologyGenome SizeHigh-Throughput Nucleotide SequencingHot TemperatureMolecular Sequence AnnotationStress, PhysiologicalTriticum

Identifiers

PMID26406536
PMCPMC4615779

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Registered trials

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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.