Evidence map›Paper›PMID 35605114›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

A quantitative synthesis of soil microbial effects on plant species coexistence.

Xinyi Yan, Jonathan M Levine, Gaurav S Kandlikar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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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

3 authors.

Xinyi YanDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0003-0480-5044
Jonathan M LevineDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.ORCID 0000-0003-2857-7904
Gaurav S KandlikarDivision of Biological Sciences, University of Missouri, Columbia, MO 65201.ORCID 0000-0003-3043-6780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microorganisms play a major role in shaping plant diversity, not only through their direct effects as pathogens, mutualists, and decomposers, but also by altering the outcome of plant interactions. In particular, previous research has shown that the soil community often generates frequency-dependent feedback loops among plants that can either stabilize or destabilize species interactions and thereby promote or hinder species coexistence. However, recent insights from modern coexistence theory have shown that microbial effects on plant coexistence depend not only on these stabilizing or destabilizing effects, but also on the degree to which they generate competitive fitness differences. While many previous experiments have generated the data necessary for evaluating microbially mediated fitness differences, these effects have rarely been quantified in the literature. Here, we present a meta-analysis of data from 50 studies, which we used to quantify the microbially mediated (de)stabilization and fitness differences derived from a classic plant-soil feedback model. We found that across 518 plant species pairs, soil microbes generated both stabilization (or destabilization) and fitness differences, but also that the microbially mediated fitness differences dominated. As a consequence, if plants are otherwise equivalent competitors, the balance of soil microbe–generated (de)stabilization and fitness differences drives species exclusion much more frequently than coexistence or priority effects. Our work shows that microbially mediated fitness differences are an important but overlooked effect of soil microbes on plant coexistence. This finding paves the way for a more complete understanding of the processes that maintain plant biodiversity.

Indexed as

BiodiversityGenetic FitnessPlantsSoil MicrobiologyEcologySoilSoilcompetitionfitness differencesmodern coexistence theoryplant–microbe interactionsplant-soil feedbacks

Identifiers

PMID35605114
PMCPMC9295794

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Registered trials

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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.