Evidence map›Paper›PMID 37616321›Full record

ArticlePLoS genetics2023

Artificial selection reveals complex genetic architecture of shoot branching and its response to nitrate supply in Arabidopsis.

Hugo Tavares, Anne Readshaw, Urszula Kania, Maaike de Jong, Raj K Pasam, Hayley McCulloch, Sally Ward, Liron Shenhav, Elizabeth Forsyth, Ottoline Leyser

Abstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Hugo TavaresSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9373-2726
Anne ReadshawDepartment of Biology, University of York, York, United Kingdom.
Urszula KaniaSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Maaike de JongSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Raj K PasamSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0908-1882
Hayley McCullochSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Sally WardSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Liron ShenhavSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1961-4187
Elizabeth ForsythSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Ottoline LeyserSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-2161-3829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative traits may be controlled by many loci, many alleles at each locus, and subject to genotype-by-environment interactions, making them difficult to map. One example of such a complex trait is shoot branching in the model plant Arabidopsis, and its plasticity in response to nitrate. Here, we use artificial selection under contrasting nitrate supplies to dissect the genetic architecture of this complex trait, where loci identified by association mapping failed to explain heritability estimates. We found a consistent response to selection for high branching, with correlated responses in other traits such as plasticity and flowering time. Genome-wide scans for selection and simulations suggest that at least tens of loci control this trait, with a distinct genetic architecture between low and high nitrate treatments. While signals of selection could be detected in the populations selected for high branching on low nitrate, there was very little overlap in the regions selected in three independent populations. Thus the regulatory network controlling shoot branching can be tuned in different ways to give similar phenotypes.

Indexed as

ArabidopsisNitratesAllelesGenotypeMultifactorial InheritanceNitrates

Identifiers

PMID37616321
PMCPMC10482290

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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.