Evidence map›Paper›PMID 35437938›Full record

ArticlePest management science2022

Dissecting weed adaptation: Fitness and trait correlations in herbicide-resistant Alopecurus myosuroides.

David Comont, Dana R MacGregor, Laura Crook, Richard Hull, Lieselot Nguyen, Robert P Freckleton, Dylan Z Childs, Paul Neve

Open access · hybridAbstract read
In one paragraph

Article in Pest management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

David ComontDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.ORCID https://orcid.org/0000-0002-5235-1035
Dana R MacGregorDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.ORCID https://orcid.org/0000-0003-0543-0408
Laura CrookDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.
Richard HullDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.
Lieselot NguyenDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.
Robert P FreckletonDepartment of Animal and Plant Sciences, University of Sheffield, South Yorkshire, UK.ORCID https://orcid.org/0000-0002-8338-864X
Dylan Z ChildsDepartment of Animal and Plant Sciences, University of Sheffield, South Yorkshire, UK.ORCID https://orcid.org/0000-0002-0675-4933
Paul NeveDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.ORCID https://orcid.org/0000-0002-3136-5286
Rothamsted Research · GBUniversity of Sheffield · GBDurham University · GBUniversity of Copenhagen · DK

Funding

Agriculture and Horticulture Development BoardBiotechnology and Biological Sciences Research CouncilHigher Education Funding Council for England
6 · The paper itself

Abstract

backgroundUnravelling the genetic architecture of non-target-site resistance (NTSR) traits in weed populations can inform questions about the inheritance, trade-offs and fitness costs associated with these traits. Classical quantitative genetics approaches allow study of the genetic architecture of polygenic traits even where the genetic basis of adaptation remains unknown. These approaches have the potential to overcome some of the limitations of previous studies into the genetics and fitness of NTSR.

resultsUsing a quantitative genetic analysis of 400 pedigreed Alopecurus myosuroides seed families from nine field-collected populations, we found strong heritability for resistance to the acetolactate synthase and acetyl CoA carboxylase inhibitors (h

conclusionThese results highlight that quantitative genetics can provide important insight into the inheritance and genetic architecture of NTSR, and can be used alongside emerging molecular techniques to better understand the evolutionary and fitness landscape of herbicide resistance. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Acetolactate SynthaseHerbicidesAcetyl-CoA CarboxylaseHerbicide ResistanceHumansPoaceaeAcetolactate SynthaseAcetyl-CoA CarboxylaseHerbicidesevolutionary potentialfitnessherbicide resistancenon-target-sitequantitative genetics

Identifiers

PMID35437938
PMCPMC9324217
OpenAlexW4224246099

What OpenQuestion holds

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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.