Evidence map›Paper›PMID 42275228›Full record

ReviewPlant signaling & behavior2026

Endophyte function in climate-stressed crops: integrating molecular regulation, metabolic trade-offs, and ecological constraints.

Wiwiek Harsonowati, Liauw Lia Sanjaya, Amik Krismawati, Janne Herly Willy Rembang, Jefny Bernedi Markus Rawung, Wahyu Widiyono, Febri Doni, Rashid Iqbal, Sajid Ullah

Abstract readReview
In one paragraph

Review in Plant signaling & behavior, 2026. 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
–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

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

9 authors.

Wiwiek HarsonowatiResearch Center for Horticulture, National Research and Innovation Agency (BRIN), Jalan Raya Jakarta-Bogor KM. 46, Cibinong, West Java, Indonesia.ORCID 0000-0003-3719-4366
Liauw Lia SanjayaResearch Center for Horticulture, National Research and Innovation Agency (BRIN), Jalan Raya Jakarta-Bogor KM. 46, Cibinong, West Java, Indonesia.ORCID 0000-0002-0617-2941
Amik KrismawatiResearch Center for Horticulture, National Research and Innovation Agency (BRIN), Jalan Raya Jakarta-Bogor KM. 46, Cibinong, West Java, Indonesia.ORCID 0000-0002-8246-3425
Janne Herly Willy RembangResearch Center for Horticulture, National Research and Innovation Agency (BRIN), Jalan Raya Jakarta-Bogor KM. 46, Cibinong, West Java, Indonesia.
Jefny Bernedi Markus RawungResearch Center for Horticulture, National Research and Innovation Agency (BRIN), Jalan Raya Jakarta-Bogor KM. 46, Cibinong, West Java, Indonesia.ORCID 0000-0002-8228-8946
Wahyu WidiyonoResearch Center for Applied Botany, National Research and Innovation Agency (BRIN), Jalan Raya Jakarta-Bogor KM. 46, Cibinong, West Java, Indonesia.ORCID 0000-0001-9015-3825
Febri DoniDepartment of Biology, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jatinangor, West Java, Indonesia.ORCID 0000-0002-4251-7361
Rashid IqbalDepartment of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Pakistan.ORCID 0000-0003-0473-889X
Sajid UllahDepartment of Water Resources and Environmental Engineering, Nangarhar University, Jalalabad, Nangarhar, Afghanistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change increasingly exposes crops to simultaneous abiotic and biotic stresses, disrupting physiological stability and reducing agricultural productivity. Although endophytes are widely recognized for improving plant stress tolerance, their effectiveness remains inconsistent across environmental conditions. This review develops an integrative framework to explain how endophyte-mediated responses are regulated at the molecular, metabolic, and ecological levels under climate stress. We examine multi-level interactions to inform predictive deployment in varied agricultural environments. We critically synthesize recent studies on ROS-hormone signaling, carbon allocation trade-offs, metabolic reprogramming, microbiome interactions, ecological filtering, and host genotype-dependent responses. We aim to identify mechanisms that govern the stability or destabilization of plant-endophyte associations under stress conditions. The analysis indicates that endophyte-mediated beneficial traits remain effective only when redox regulation, metabolic balance, and ecological compatibility are maintained within functional physiological limits. Under severe or prolonged stress, disruption of ROS homeostasis, carbon limitation, and ecological instability progressively reduce symbiotic effectiveness, physiological stability, and plant growth performance. Potential predictive variables in this framework include ROS accumulation thresholds, antioxidant capacity, photosynthetic stability, carbon allocation balance, and ecological persistence of endophytes under fluctuating environmental conditions. These variables may enable the prediction of endophyte functional stability, stress adaptation, and growth promotion under heterogeneous climate stress conditions. Collectively, this framework advances current understanding from descriptive interpretation toward a context-dependent perspective that may support future prediction and validation of endophyte performance in climate-resilient agriculture.

Indexed as

Climate ChangeCrops, AgriculturalEndophytesStress, PhysiologicalReactive Oxygen SpeciesReactive Oxygen SpeciesClimate stressecological filteringendophyte–plant interactionshost genotypemicrobiome interactionspredictive deployment

Identifiers

PMID42275228
PMCPMC13271342

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.