Evidence map›Paper›PMID 42547509›Full record

ReviewNature communications2026

Breeding for beneficial microbial associations.

Ido Rog, Stefanie Lutz, Lukas Fesenfeld, Jürg Hiltbrunner, Harro Bouwmeester, Marcel G A van der Heijden

Abstract readReview
In one paragraph

Review in Nature communications, 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

6 authors.

Ido RogDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland. ido.rog@uzh.ch.ORCID 0000-0002-9120-3617
Stefanie LutzDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
Lukas FesenfeldEinstein School of Public Policy, Political Economy of Technology Group, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-4504-036X
Jürg HiltbrunnerCompetence Division Plant and Plant Products, Research Group Extension Arable Crops, Agroscope, Zurich, Switzerland.
Harro BouwmeesterPlant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-0907-2732
Marcel G A van der HeijdenDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland. marcel.vanderheijden@uzh.ch.ORCID 0000-0001-7040-1924

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 408440_226950Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) TMPFP3_217251
6 · The paper itself

Abstract

Beneficial plant-microbe associations (BMAs) offer a valuable opportunity to reduce dependence on synthetic inputs. However, traditional breeding has rarely targeted traits that enhance beneficial interactions, and conventional agricultural practices have often degraded soil health and microbial diversity. We present a framework that combines breeding for traits that facilitate BMA with soil management practices that enrich BMA. This approach integrates advanced breeding technologies with strategies for precise production and inoculation of microbes. Strengthening these complementary plant- and microbe-centered approaches and encouraging their adoption by farmers can foster more resilient and productive agricultural systems with reduced dependence on pesticides and fertilizers.

Indexed as

BreedingPlant BreedingPlantsSoil MicrobiologyAgricultureCrops, Agricultural

Identifiers

PMID42547509
PMCPMC13434687

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.