Evidence map›Paper›PMID 40191457›Full record

Article3 Biotech2025

The transcriptome landscape of Kumrogarh, a unique rice landrace showing the simultaneous presence of

Pratyasha Samanta, Rahul Singh Jasrotia, Sarika Jaiswal, Mir Asif Iquebal, Narottam Dey

Abstract read
In one paragraph

Article in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Pratyasha SamantaRice Biotechnology Laboratory, Department of Biotechnology, Visva-Bharati University, Santiniketan, 731235 India.
Rahul Singh JasrotiaCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, Library Avenue, New Delhi, 110012 India.
Sarika JaiswalCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, Library Avenue, New Delhi, 110012 India.
Mir Asif IquebalCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, Library Avenue, New Delhi, 110012 India.
Narottam DeyRice Biotechnology Laboratory, Department of Biotechnology, Visva-Bharati University, Santiniketan, 731235 India.ORCID 0000-0002-1789-4974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To decipher the molecular mechanism behind submergence tolerance in a typical rice genotype (var. Kumrogarh), leaf transcriptome analysis was performed on submerged plant tissue with 7 and 14 days of induced submergence, followed by cataloguing the differentially expressed transcripts. Subsequent bioinformatics analysis identified 5,267 differentially expressed genes (DEGs), of which 2,657 were upregulated and 2,610 were downregulated in four comparative combinations: T7-C7, T14-T7, T14-T7, and C14-C7. A group of 41 co-expressed genes was found across all sets, while 1427, 558 and 83 transcripts were uniquely expressed in the T7-C7, T14-T7, and C14-C7 combinations, respectively. Constructed Ven diagram showed that 1428, 65, and 44 transcripts were commonly expressed in the paired combinations "T7-C7" and "T14-T7", "C14-C7" and "T7-C7", and "C14-C7" and "T14-T7". Gene ontology study functionally categorized the DEGs into molecular functions, biological processes, and cellular components. Additionally, nine transcription factor families were identified, including MYB, WRKY, bZIP, bHLH, SET domain, NAC domain, C2H2 zinc finger, E2F, and HSF, along with a set of differentially regulated signalling genes. Twelve genes related to submergence adaptation were selected for final validation through quantitative real-time PCR-based expression analysis, which demonstrated a strong association with a coefficient ( Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-025-04277-7.

Indexed as

Deepwater submergenceEscape responseRiceSnorkellingTranscriptome

Identifiers

PMID40191457
PMCPMC11965045

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.