Evidence map›Paper›PMID 37291153›Full record

ArticleNature communications2023

Single-gene resolution of diversity-driven overyielding in plant genotype mixtures.

Samuel E Wuest, Lukas Schulz, Surbhi Rana, Julia Frommelt, Merten Ehmig, Nuno D Pires, Ueli Grossniklaus, Christian S Hardtke, Ulrich Z Hammes, Bernhard Schmid and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The Invasive PlantPlants (Basel, Switzerland) · 2024
    Article
  6. Coadaptation of coexisting plants enhances productivity in an agricultural system.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

11 authors at 4 institutions in 3 countries.

Samuel E WuestDepartment of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland. samuel.wuest@agroscope.admin.ch.ORCID 0000-0003-3982-0770
Lukas SchulzPlant Systems Biology, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Surbhi RanaDepartment of Plant Molecular Biology, University of Lausanne, Biophore Building, Lausanne, 1015, Switzerland.
Julia FrommeltDepartment of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Merten EhmigDepartment of Systematic and Evolutionary Botany, University of Zurich, Zollikerstrasse 107, 8008, Zürich, Switzerland.
Nuno D PiresDepartment of Plant and Microbial Biology and Zurich-Basel Plant Science Center, University of Zurich, Zollikerstrasse 107, 8008, Zurich, Switzerland.
Ueli GrossniklausDepartment of Plant and Microbial Biology and Zurich-Basel Plant Science Center, University of Zurich, Zollikerstrasse 107, 8008, Zurich, Switzerland.ORCID 0000-0002-0522-8974
Christian S HardtkeDepartment of Plant Molecular Biology, University of Lausanne, Biophore Building, Lausanne, 1015, Switzerland.ORCID 0000-0003-3203-1058
Ulrich Z HammesPlant Systems Biology, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Bernhard SchmidDepartment of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.ORCID 0000-0002-8430-3214
Pascal A NiklausDepartment of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.ORCID 0000-0002-2360-1357
University of Zurich · CHTechnical University of Munich · DEJohn Innes Centre · GBUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In plant communities, diversity often increases productivity and functioning, but the specific underlying drivers are difficult to identify. Most ecological theories attribute positive diversity effects to complementary niches occupied by different species or genotypes. However, the specific nature of niche complementarity often remains unclear, including how it is expressed in terms of trait differences between plants. Here, we use a gene-centred approach to study positive diversity effects in mixtures of natural Arabidopsis thaliana genotypes. Using two orthogonal genetic mapping approaches, we find that between-plant allelic differences at the AtSUC8 locus are strongly associated with mixture overyielding. AtSUC8 encodes a proton-sucrose symporter and is expressed in root tissues. Genetic variation in AtSUC8 affects the biochemical activities of protein variants and natural variation at this locus is associated with different sensitivities of root growth to changes in substrate pH. We thus speculate that - in the particular case studied here - evolutionary divergence along an edaphic gradient resulted in the niche complementarity between genotypes that now drives overyielding in mixtures. Identifying genes important for ecosystem functioning may ultimately allow linking ecological processes to evolutionary drivers, help identify traits underlying positive diversity effects, and facilitate the development of high-performance crop variety mixtures.

Indexed as

BiodiversityEcosystemGenotypePhenotypePlants

Identifiers

PMID37291153
PMCPMC10250416
OpenAlexW4379878850

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.