Evidence map›Paper›PMID 24059455›Full record

ArticleBMC genomics2013

Comprehensive transcriptomic study on horse gram (Macrotyloma uniflorum): De novo assembly, functional characterization and comparative analysis in relation to drought stress.

Jyoti Bhardwaj, Rohit Chauhan, Mohit Kumar Swarnkar, Rakesh Kumar Chahota, Anil Kumar Singh, Ravi Shankar, Sudesh Kumar Yadav

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
12.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

34 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Horse gram (Frontiers in plant science · 2026
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  7. Identification and validation of reference genes for qRT-PCR based studies in horse gram (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
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  13. Development of transcriptome-wide SSR markers for genetic diversity and structure analysis inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  14. Article
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  17. Review
  18. Towards Exploitation of Adaptive Traits for Climate-Resilient Smart Pulses.International journal of molecular sciences · 2019
    Review
  19. 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

7 authors at 3 institutions in 1 country.

Jyoti BhardwajPlant Metabolic Engineering Laboratory, Council of Scientific and Industrial Research-Institute of Himalayan Bioresource Technology, Palampur 176061, HP, India. ravish@ihbt.res.in.
Rohit Chauhan
Mohit Kumar Swarnkar
Rakesh Kumar Chahota
Anil Kumar Singh
Ravi Shankar
Sudesh Kumar Yadav
Council of Scientific and Industrial Research · INInstitute of Himalayan Bioresource Technology · INChaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrought tolerance is an attribute maintained in plants by cross-talk between multiple and cascading metabolic pathways. Without a sequenced genome available for horse gram, it is difficult to comprehend such complex networks and intercalated genes associated with drought tolerance of horse gram (Macrotyloma uniflorum). Therefore, de novo transcriptome discovery and associated analyses was done for this highly drought tolerant yet under exploited legume to decipher its genetic makeup.

resultsEight samples comprising of shoot and root tissues of two horse gram genotypes (drought-sensitive; M-191 and drought-tolerant; M-249) were used for comparison under control and polyethylene glycol-induced drought stress conditions. Using Illumina sequencing technology, a total of 229,297,896 paired end read pairs were generated and utilized for de novo assembly of horse gram. Significant BLAST hits were obtained for 26,045 transcripts while, 3,558 transcripts had no hits but contained important conserved domains. A total of 21,887 unigenes were identified. SSRs containing sequences covered 16.25% of the transcriptome with predominant tri- and mono-nucleotides (43%). The total GC content of the transcriptome was found to be 43.44%. Under Gene Ontology response to stimulus, DNA binding and catalytic activity was highly expressed during drought stress conditions. Serine/threonine protein kinase was found to dominate in Enzyme Classification while pathways belonging to ribosome metabolism followed by plant pathogen interaction and plant hormone signal transduction were predominant in Kyoto Encyclopedia of Genes and Genomes analysis. Independent search on plant metabolic network pathways suggested valine degradation, gluconeogenesis and purine nucleotide degradation to be highly influenced under drought stress in horse gram. Transcription factors belonging to NAC, MYB-related, and WRKY families were found highly represented under drought stress. qRT-PCR validated the expression profile for 9 out of 10 genes analyzed in response to drought stress.

conclusionsDe novo transcriptome discovery and analysis has generated enormous information over horse gram genomics. The genes and pathways identified suggest efficient regulation leading to active adaptation as a basal defense response against drought stress by horse gram. The knowledge generated can be further utilized for exploring other underexploited plants for stress responsive genes and improving plant tolerance.

Indexed as

DroughtsAdaptation, PhysiologicalBase CompositionBase SequenceCluster AnalysisExpressed Sequence TagsFabaceaeGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGenes, PlantMetabolic Networks and PathwaysMolecular Sequence AnnotationRepetitive Sequences, Nucleic AcidReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionTranscription Factors

Identifiers

PMID24059455
PMCPMC3853109
OpenAlexW1977614549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.