Evidence map›Paper›PMID 25340779›Full record

ArticlePLoS genetics2014

Unifying genetic canalization, genetic constraint, and genotype-by-environment interaction: QTL by genomic background by environment interaction of flowering time in Boechera stricta.

Cheng-Ruei Lee, Jill T Anderson, Thomas Mitchell-Olds

Abstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

12 citing papers in PubMed.

  1. The variegatedComputational and structural biotechnology journal · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Flowering Times of WildFrontiers in plant science · 2021
    Article
  7. Antagonistic selection and pleiotropy constrain the evolution of plant chemical defenses.Evolution; international journal of organic evolution · 2019
    Article
  8. The Functional Change and Deletion ofFrontiers in plant science · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. 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

3 authors.

Cheng-Ruei LeeDepartment of Biology, Duke University, Durham, North Carolina, United States of America.
Jill T AndersonDepartment of Biological Sciences, Environment and Sustainability Program, University of South Carolina, Columbia, South Carolina, United States of America.
Thomas Mitchell-OldsDepartment of Biology, Duke University, Durham, North Carolina, United States of America; Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America.

Funding

Molecular Causes and Fitness Consequences of Complex Trait VariationR01GM086496 · NIGMS · DUKE UNIVERSITY · PI MITCHELL-OLDS, STORRS THOMAS · 2008 to 2017
$2.7M
NIGMS NIH HHS R01 GM086496
6 · The paper itself

Abstract

Natural populations exhibit substantial variation in quantitative traits. A quantitative trait is typically defined by its mean and variance, and to date most genetic mapping studies focus on loci altering trait means but not (co)variances. For single traits, the control of trait variance across genetic backgrounds is referred to as genetic canalization. With multiple traits, the genetic covariance among different traits in the same environment indicates the magnitude of potential genetic constraint, while genotype-by-environment interaction (GxE) concerns the same trait across different environments. While some have suggested that these three attributes of quantitative traits are different views of similar concepts, it is not yet clear, however, whether they have the same underlying genetic mechanism. Here, we detect quantitative trait loci (QTL) influencing the (co)variance of phenological traits in six distinct environments in Boechera stricta, a close relative of Arabidopsis. We identified nFT as the QTL altering the magnitude of phenological trait canalization, genetic constraint, and GxE. Both the magnitude and direction of nFT's canalization effects depend on the environment, and to our knowledge, this reversibility of canalization across environments has not been reported previously. nFT's effects on trait covariance structure (genetic constraint and GxE) likely result from the variable and reversible canalization effects across different traits and environments, which can be explained by the interaction among nFT, genomic backgrounds, and environmental stimuli. This view is supported by experiments demonstrating significant nFT by genomic background epistatic interactions affecting phenological traits and expression of the candidate gene, FT. In contrast to the well-known canalization gene Hsp90, the case of nFT may exemplify an alternative mechanism: Our results suggest that (at least in traits with major signal integrators such as flowering time) genetic canalization, genetic constraint, and GxE may have related genetic mechanisms resulting from interactions among major QTL, genomic backgrounds, and environments.

Indexed as

Evolution, MolecularSelection, GeneticBrassicaceaeChromosome MappingEpistasis, GeneticFlowersGene-Environment InteractionGenome, PlantGenotypePhenotypeQuantitative Trait LociReproductionSignal Transduction

Identifiers

PMID25340779
PMCPMC4207664

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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.