Evidence map›Paper›PMID 42557803›Full record

ReviewPhysiologia plantarum

Northern Light Reviews - Rethinking Plant Stress Biology in a Multifactorial World.

Lidia S Pascual, Rosa M Rivero, Sara I Zandalinas, Ron Mittler

Abstract readReview
In one paragraph

Review in Physiologia plantarum. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Lidia S PascualDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana, Spain.ORCID https://orcid.org/0000-0001-8634-8443
Rosa M RiveroDepartment of Plant Nutrition, Center of Edaphology and Applied Biology of Segura (CEBAS) - CSIC, Murcia, Spain.ORCID https://orcid.org/0000-0003-3880-0241
Sara I ZandalinasDepartment of Biology, Biochemistry and Environmental Sciences, University Jaume I, Castelló de la Plana, Spain.ORCID https://orcid.org/0000-0002-1256-9371
Ron MittlerThe Division of Plant Sciences Technology, Interdisciplinary Plant Group, College of Agriculture, Food and Natural Resources, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0003-3192-7450

Funding

National Science Foundation IOS-2110017National Science Foundation IOS-2343815National Science Foundation IOS-2414183
6 · The paper itself

Abstract

The accelerated pace of climate change, soil degradation, environmental pollution, and pathogen outbreaks subjects trees and crops growing in different parts of the world to multiple abiotic/biotic stress conditions, simultaneously or sequentially. Unfortunately, most studies conducted to date, including studies of two-stress combinations, do not mimic the complex multifactorial stress combination (MFSC) environment plants experience in nature. Here, we summarize evidence from recent MFSC studies of three or more stresses simultaneously impacting plants, and argue that environmental complexity, i.e., a high number of interacting stress factors, functions as a system-level variable shaping plant performance. Across different model and crop plants, the progressive increase in stress complexity results in non-additive effects that cause marked declines in growth, photosynthetic rates and yield, even when the level of each individual stress involved in such MFSC remains moderate. Multi-omics analyses reveal that MFSC does not simply induce stress-response pathways but redistributes regulatory control within hormonal networks, most prominently within abscisic acid signaling, accompanied by reduced physiological performance and repression of photosynthesis-related genes. These responses scale nonlinearly with increasing complexity and are consistent with threshold-like shifts in regulatory function, rather than simple additive effects. We further present a complexity-driven regulatory model in which rising combinatorial load progressively narrows regulatory flexibility and promotes survival-oriented strategies over plant growth. Finally, we discuss how recognizing stress complexity as an organizing variable could reshape breeding priorities and predictive crop modeling under increasingly complex environmental scenarios.

Indexed as

Stress, PhysiologicalClimate ChangePhotosynthesisPlant Growth RegulatorsPlant Growth Regulatorsclimate changehormonal crosstalkmultifactorial stressphotosynthesisstomatal regulationstress combination

Identifiers

PMID42557803
PMCPMC13443495

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.