Evidence map›Paper›PMID 42709227›Full record

ReviewPlanta2026

Microbial partnerships and molecular mechanisms in plant stress physiology for climate-resilient and sustainable farming.

Temesgen Assefa Gelaw, Awoke Yihun Dagnaw, Beimnet Abegaz, Destaw Mullualem, Teshome Geremew Biru, Brahim Oubaha, Ivica Dimkić, Fantaw Yimer, Neeti Sanan-Mishra

Abstract readReview
In one paragraph

Review in Planta, 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.

Temesgen Assefa GelawDepartment of Biotechnology, College of Agriculture and Natural Resource Science, Debre Birhan University, 445, Debre Birhan, Ethiopia. temesgen.assefa2129@gmail.com.ORCID http://orcid.org/0000-0002-5097-9398
Awoke Yihun DagnawDepartment of Biotechnology, College of Agriculture and Natural Resource Science, Debre Birhan University, 445, Debre Birhan, Ethiopia.
Beimnet AbegazDepartment of Plant Science, College of Agriculture and Natural Resource Science, Debre Birhan University, 445, Debre Birhan, Ethiopia.
Destaw MullualemDepartment of Biology, College of Natural and Computational Science, Injibara University, 40, Injibara, Ethiopia.
Teshome Geremew BiruDepartment of Applied Biology, College of Applied Natural Science, Adama Science and Technology University, 1888, Adama, Ethiopia.
Brahim OubahaBacteriology Group, International Centre for Genetic Engineering and Biotechnology, 34149, Trieste, Italy.
Ivica DimkićFaculty of Biology, University of Belgrade, Studentski Trg 16, 11000, Belgrade, Serbia.
Fantaw YimerDepartment of Soil Resources and Watershed Management, Wondo Genet College of Forestry and Natural Resources, Hawassa University, 128, Shashemane, Ethiopia.
Neeti Sanan-MishraPlant RNAi Biology Group, International Centre for Genetic Engineering and Biotechnology, 110067, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionPlant-microbial partnerships and their underlying molecular mechanisms are indispensable, natural drivers of improved nutrient acquisition and stress tolerance in the face of climate-driven environmental challenges. Modern multi-omics tools, when coupled with artificial intelligence and synthetic biology, enable the precise design of targeted bioinoculants and synthetic microbial consortia. Translating these advanced microbiome-based strategies into scalable, field-level agricultural applications provides a sustainable path toward securing global food production while maintaining soil health. Global climate change imposes multifaceted abiotic and biotic stresses on crops, disrupting physiological and molecular processes and threatening agricultural productivity. Plant-associated microbes represent an underexplored yet powerful ally in enhancing crop resilience. This review presents current knowledge of plant-microbe interactions and the molecular mechanisms governing plant stress physiology, with an emphasis on climate-resilient and sustainable farming. Hence, ever-changing environmental cues pose a significant burden on agricultural productivity, and plant-associated microbial communities modulate a cascade of physiological and molecular responses, including production of phytohormones, signaling, regulation of reactive oxygen species homeostasis, and activation of plant immune responses to help plants withstand stress and enhance productivity. Moreover, root exudates, phytohormones, and quorum sensing mediate the central communication networks, facilitating plant-microbe cross talk. Additionally, the advances in OMICs approaches aid in disentangling the molecular underpinnings of these interactions by providing mechanistic insights and potential candidate gene targets for crop improvement and stress resilience. In the post-genomic era, integrating artificial intelligence and big data analysis to optimize microbiome-based strategies for sustainable agriculture is a new frontier for disentangling plant-microbe symbiosis to improve soil health, enhance crop yields, and improve stress tolerance. Thus, by integrating the ecological, physiological, and molecular perspectives, this review highlights the transformative potential of harnessing plant-microbe symbiosis for climate-resilient and sustainable agriculture.

Indexed as

AgricultureCrops, AgriculturalMicrobiotaPlant Physiological PhenomenaStress, PhysiologicalClimate ChangeClimate resilienceMicrobiomePlant–microbe interactionPlant stressSustainable agriculture

Identifiers

PMID42709227
PMCPMC13553713

What Socratic holds

Textmetadata
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 Socratic graph.