Evidence map›Paper›PMID 39375389›Full record

ArticleNature communications2024

Reducing herbivory in mixed planting by genomic prediction of neighbor effects in the field.

Yasuhiro Sato, Rie Shimizu-Inatsugi, Kazuya Takeda, Bernhard Schmid, Atsushi J Nagano, Kentaro K Shimizu

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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.

Yasuhiro SatoDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland. yassato@ees.hokudai.ac.jp.ORCID 0000-0002-6466-723X
Rie Shimizu-InatsugiDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.ORCID 0000-0002-9899-591X
Kazuya TakedaResearch Institute for Food and Agriculture, Ryukoku University, Yokotani 1-5, Seta Oe-cho, 520-2194, Otsu, Shiga, Japan.ORCID 0000-0001-5800-1450
Bernhard SchmidDepartment of Geography, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.ORCID 0000-0002-8430-3214
Atsushi J NaganoFaculty of Agriculture, Ryukoku University, Yokotani 1-5, Seta Oe-cho, 520-2194, Otsu, Shiga, Japan. anagano@agr.ryukoku.ac.jp.ORCID 0000-0001-7891-5049
Kentaro K ShimizuDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland. kentaro.shimizu@uzh.ch.ORCID 0000-0002-6483-1781

Funding

MEXT | Japan Science and Technology Agency (JST) JPMJCR15O2 and JPMJFR210BMEXT | Japan Society for the Promotion of Science (JSPS) JP16J30005, JP20K15880 and JP23K14270MEXT | Japan Society for the Promotion of Science (JSPS) JP20H00423 and JP23H00386MEXT | Japan Society for the Promotion of Science (JSPS) JP22H02316MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR16O3MEXT | JST | Precursory Research for Embryonic Science and Technology (PRESTO) JPMJPR17Q4Ministry of Education, Culture, Sports, Science and Technology (MEXT) JP22H05179Ministry of Education, Culture, Sports, Science and Technology (MEXT) JP23H04967Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 310030_212674Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 31003A_182318 and 31003A_212551
6 · The paper itself

Abstract

Genetically diverse populations can increase plant resistance to natural enemies. Yet, beneficial genotype pairs remain elusive due to the occurrence of positive or negative effects of mixed planting on plant resistance, respectively called associational resistance or susceptibility. Here, we identify key genotype pairs responsible for associational resistance to herbivory using the genome-wide polymorphism data of the plant species Arabidopsis thaliana. To quantify neighbor interactions among 199 genotypes grown in a randomized block design, we employ a genome-wide association method named "Neighbor GWAS" and genomic prediction inspired by the Ising model of magnetics. These analyses predict that 823 of the 19,701 candidate pairs can reduce herbivory in mixed planting. We planted three pairs with the predicted effects in mixtures and monocultures, and detected 18-30% reductions in herbivore damage in the mixed planting treatment. Our study shows the power of genomic prediction to assemble genotype mixtures with positive biodiversity effects.

Indexed as

ArabidopsisGenome-Wide Association StudyGenotypeHerbivoryAnimalsGenome, PlantGenomicsPlant Defense Against HerbivoryPolymorphism, Single Nucleotide

Identifiers

PMID39375389
PMCPMC11458863

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.