Evidence map›Paper›PMID 36437257›Full record

ArticleNature communications2022

Plant genetic diversity affects multiple trophic levels and trophic interactions.

Nian-Feng Wan, Liwan Fu, Matteo Dainese, Yue-Qing Hu, Lars Pødenphant Kiær, Forest Isbell, Christoph Scherber

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. A sustainable integrated agroforestry system.Frontiers in plant science · 2025
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  14. Identification ofFrontiers in pharmacology · 2024
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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

7 authors.

Nian-Feng Wan *Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China. nfwan@ecust.edu.cn.ORCID 0000-0001-9486-9150
Liwan Fu *Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.ORCID 0000-0002-7851-6379
Matteo DaineseDepartment of Biotechnology, University of Verona, Verona, Italy.ORCID 0000-0001-7052-5572
Yue-Qing HuState Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, 200438, China.ORCID 0000-0002-5730-0317
Lars Pødenphant KiærDepartment of Plant and Environmental Sciences, University of Copenhagen, DK-1871, Frederiksberg C, Denmark.ORCID 0000-0002-1501-8831
Forest IsbellDepartment of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, 55108, USA.ORCID 0000-0001-9689-769X
Christoph ScherberCentre for Biodiversity Monitoring and Conservation Science, Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig, Adenauerallee 127, 53113, Bonn, Germany.ORCID 0000-0001-7924-8911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraspecific genetic diversity is an important component of biodiversity. A substantial body of evidence has demonstrated positive effects of plant genetic diversity on plant performance. However, it has remained unclear whether plant genetic diversity generally increases plant performance by reducing the pressure of plant antagonists across trophic levels for different plant life forms, ecosystems and climatic zones. Here, we analyse 4702 effect sizes reported in 413 studies that consider effects of plant genetic diversity on trophic groups and their interactions. We found that that increasing plant genetic diversity decreased the performance of plant antagonists including invertebrate herbivores, weeds, plant-feeding nematodes and plant diseases, while increasing the performance of plants and natural enemies of herbivores. Structural equation modelling indicated that plant genetic diversity increased plant performance partly by reducing plant antagonist pressure. These results reveal that plant genetic diversity often influences multiple trophic levels in ways that enhance natural pest control in managed ecosystems and consumer control of plants in natural ecosystems for sustainable plant production.

Indexed as

EcosystemPlantsBiodiversityGenetic VariationHerbivory

Identifiers

PMID36437257
PMCPMC9701765

What OpenQuestion holds

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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.