Evidence map›Paper›PMID 31017902›Full record

ArticlePLoS biology2019

Nonlinear phenotypic variation uncovers the emergence of heterosis in Arabidopsis thaliana.

François Vasseur, Louise Fouqueau, Dominique de Vienne, Thibault Nidelet, Cyrille Violle, Detlef Weigel

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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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

28 citing papers in PubMed.

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  9. Intrinsic emergence and modulation of sex-specific dominance reversals in threshold traits.Evolution; international journal of organic evolution · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

François VasseurMax Planck Institute for Developmental Biology, Tübingen, Germany.ORCID 0000-0002-0575-6216
Louise FouqueauCEFE, CNRS, Univ Montpellier, Univ Paul Valéry Montpellier, EPHE, IRD, Montpellier, France.ORCID 0000-0003-0371-9339
Dominique de VienneGQE-Le Moulon, INRA, Univ Paris-Sud, CNRS, AgroParisTech, Univ Paris-Saclay, Gif-sur-Yvette, France.ORCID 0000-0003-3395-7901
Thibault NideletSPO, INRA, Montpellier SupAgro, Univ Montpellier, Montpellier, France.ORCID 0000-0003-3032-9838
Cyrille ViolleCEFE, CNRS, Univ Montpellier, Univ Paul Valéry Montpellier, EPHE, IRD, Montpellier, France.
Detlef WeigelMax Planck Institute for Developmental Biology, Tübingen, Germany.ORCID 0000-0002-2114-7963

Funding

European Research Council 340602
6 · The paper itself

Abstract

Heterosis describes the phenotypic superiority of hybrids over their parents in traits related to agronomic performance and fitness. Understanding and predicting nonadditive inheritance such as heterosis is crucial for evolutionary biology as well as for plant and animal breeding. However, the physiological bases of heterosis remain debated. Moreover, empirical data in various species have shown that diverse genetic and molecular mechanisms are likely to explain heterosis, making it difficult to predict its emergence and amplitude from parental genotypes alone. In this study, we examined a model of physiological dominance initially proposed by Sewall Wright to explain the nonadditive inheritance of traits like metabolic fluxes at the cellular level. We evaluated Wright's model for two fitness-related traits at the whole-plant level, growth rate and fruit number, using 450 hybrids derived from crosses among natural accessions of A. thaliana. We found that allometric relationships between traits constrain phenotypic variation in a nonlinear and similar manner in hybrids and accessions. These allometric relationships behave predictably, explaining up to 75% of heterosis amplitude, while genetic distance among parents at best explains 7%. Thus, our findings are consistent with Wright's model of physiological dominance and suggest that the emergence of heterosis on plant performance is an intrinsic property of nonlinear relationships between traits. Furthermore, our study highlights the potential of a geometric approach of phenotypic relationships for predicting heterosis of major components of crop productivity and yield.

Indexed as

ArabidopsisBiological Variation, PopulationCrosses, GeneticGenotypeHybridization, GeneticHybrid VigorModels, GeneticPhenotype

Identifiers

PMID31017902
PMCPMC6481775

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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.