Evidence map›Paper›PMID 41068586›Full record

SynthesisBMC plant biology2025

Transcriptome-based meta-analysis of drought stress regulatory genes in tomato.

Maryam Murtaza, Muhammad Aqeel, Saad Abdulmageed Waheeb, Nazia Rehman, Samra Irum, Hanan Almahasheer, Rawabi Zahed, Reem Nabil Hassan, Sajid Fiaz, Muhammad Uzair and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Maryam MurtazaNational Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Park Road, Islamabad, 45500, Pakistan.
Muhammad AqeelNational Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Park Road, Islamabad, 45500, Pakistan. muhammadaqeel@parc.gov.pk.
Saad Abdulmageed WaheebDepartment of Horticulture and Landscape Design, College of Agriculture, University of Kirkuk, Kirkuk, Iraq.
Nazia RehmanNational Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Park Road, Islamabad, 45500, Pakistan.
Samra IrumNational Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Park Road, Islamabad, 45500, Pakistan.
Hanan AlmahasheerDepartment of Biology, College of Science, Imam Abdulrahman Bin Faisal University (IAU), Dammam, 31441-1982, Saudi Arabia.
Rawabi ZahedDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University (KAU), P.O. Box 80141, Jeddah, 21589, Saudi Arabia.
Reem Nabil HassanDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University (KAU), P.O. Box 80141, Jeddah, 21589, Saudi Arabia.
Sajid FiazInstitute of Molecular Biology and Biotechnology (IMBB), The University of Lahore, Lahore, 54590, Punjab, Pakistan.ORCID http://orcid.org/0000-0001-9097-4359
Muhammad UzairNational Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Park Road, Islamabad, 45500, Pakistan. uzairbreeder@gmail.com.ORCID http://orcid.org/0000-0001-8329-9762
Muhammad Ramzan KhanNational Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Park Road, Islamabad, 45500, Pakistan. mrkhan@parc.gov.pk.
Ghulam Muhammad AliPakistan Agricultural Research Council (PARC), G-5/1, G-5, Islamabad, Pakistan.
Mariusz JaremkoBiological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Funding

The funding for this study was provided by NIGAB out of the Sino-Pak project 857
6 · The paper itself

Abstract

Plants possess various molecular defense systems to ward off biotic and abiotic stresses and adjust to environmental changes. The RNA-seq technology assists biologists in quickly identifying genes responding to abiotic stresses. Thereby, using meta-transcriptomic data from the GEO NCBI public database, we have attempted to reach a consensus on gene variations. This approach identified a global set of 18 drought-responsive genes by Bonferroni-adjusted proportional test on one sample, p < 0.05, and extensive meta-transcriptome analytics. The annotation of these differentially expressed genes identified the biological process, molecular function, cellular component, KEGG, and plant ontology terms. The terms that were found to be top-enriched (with P and Q adjusted to be < 0.05) were intracellular signal transduction (Solyc04g076810 and Solyc10g076710), ribonuclease P activity (Solyc05g054420), nucleolar ribonuclease P complex (Solyc05g054420), Glycosphingolipid biosynthesis and lateral root apical meristem (Solyc03g005227), respectively. These meta-DEGs description include CBL-interacting protein kinase 8 (biological process), phospholipase C

Indexed as

DroughtsGenes, PlantSolanum lycopersicumStress, PhysiologicalTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantPlant ProteinsPlant ProteinsDifferential expressionGene expressionGenomicsPlant ontology and gene ontology

Identifiers

PMID41068586
PMCPMC12513158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.