Evidence map›Paper›PMID 41092109›Full record

ArticlePlant physiology2025

Multi-omics-based insights into tomato adaptation to multifactorial stress combination.

Lidia S Pascual, Enrique Serna, Abdul Ghani, Zhen Lyu, Manish Sridhar Immadi, Trupti Joshi, Mohit Verma, José L Rambla, Aurelio Gómez-Cadenas, Ron Mittler and 1 more

Abstract read
In one paragraph

Article in Plant physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. When drought helps herbivores before it harms them.Journal of experimental botany · 2026
    Article
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  8. 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

11 authors.

Lidia S PascualDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana 12071, Spain.ORCID 0000-0001-8634-8443
Enrique SernaDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana 12071, Spain.ORCID 0009-0003-1089-2313
Abdul GhaniDepartment of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0009-0009-1442-0229
Zhen LyuDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA.
Manish Sridhar ImmadiDepartment of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri, Columbia, MO 65211, USA.
Trupti JoshiDepartment of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0001-8944-4924
Mohit VermaDepartment of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-0438-5396
José L RamblaDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana 12071, Spain.ORCID 0000-0003-4704-2534
Aurelio Gómez-CadenasDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana 12071, Spain.ORCID 0000-0002-4598-2664
Ron MittlerChristopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0003-3192-7450
Sara I ZandalinasDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana 12071, Spain.

Funding

FEDER PID2021-128198OA-I00FEDER PID2024-158431OB-I00L.S.P.National Science Foundation IOS-2110017National Science Foundation IOS-2343815National Science Foundation IOS-2414183Ramón y Cajal RYC2020-029967-IRamón y Cajal program RYC2020-029967-ISpanish Ministerio de Ciencia e Innovación PRE2022-101650Spanish Ministry of Science, Innovation and University FPU22/04183Universitat Jaume I UJI-A2022-06
6 · The paper itself

Abstract

Multifactorial stress combination (MFSC) is emerging as a major constraint to crop productivity under different climate change scenarios. While the physiological impacts of MFSC have been previously characterized in different plant species, the molecular and metabolic effects of MFSC remain poorly defined. Here, we used an integrative multi-omics approach to dissect the response of tomato (Solanum lycopersicum) plants to an MFSC of up to 6 low-intensity abiotic stressors. Our analysis uncovered a complexity-dependent molecular program in tomato. Transcriptomic analysis identified a core set of 194 transcripts commonly altered across all stress conditions, along with 155 transcription factors (TFs) specifically regulated under high-complexity conditions (4-, 5-, and 6-stress combinations). Focusing on heat-associated MFSC responses, we identified 103 transcripts uniquely responsive to these conditions, including 2 TFs (Zinc finger TF 32 and a B3 family protein) that may act as master regulators of all heat-associated MFSCs. Metabolomic profiling revealed a pronounced reprogramming of primary metabolism under MFSC, marked by decreased levels of tricarboxylic acid intermediates and accumulation of sugars, γ-aminobutyric acid, and branched-chain amino acids, suggesting a trade-off that favors osmoprotection and redox homeostasis over energy-intensive processes. Comparative analyses across tomato, Arabidopsis, Chlamydomonas, rice, and soybean highlighted a conserved molecular signature associated with MFSC. Integrated omics correlation analysis uncovered functional links among phytohormone signaling, photosynthetic efficiency, and key MFSC-related transcripts and metabolic hubs. Together, we reveal a coordinated and complexity-dependent molecular program in tomato, offering insights into plant adaptation to MFSC and identifying candidate regulatory and metabolic markers for engineering climate-resilient crops.

Indexed as

Adaptation, PhysiologicalSolanum lycopersicumStress, PhysiologicalGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsMultiomicsPlant ProteinsTranscription FactorsTranscriptomePlant ProteinsTranscription Factors

Identifiers

PMID41092109
PMCPMC12579106

What OpenQuestion holds

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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.