Evidence map›Paper›PMID 32474596›Full record

ArticleJournal of experimental botany2020

Genetic basis of phenotypic plasticity and genotype × environment interactions in a multi-parental tomato population.

Isidore Diouf, Laurent Derivot, Shai Koussevitzky, Yolande Carretero, Frédérique Bitton, Laurence Moreau, Mathilde Causse

Abstract read
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Article in Journal of experimental botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  19. Plasticity QTLs specifically contribute to the genotype × water availability interaction in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Isidore DioufINRAE, GAFL, Monfavet, France.
Laurent DerivotGAUTIER Semences, route d'Avignon, Eyragues, France.
Shai KoussevitzkyHazera - Seeds of Growth, Berurim M.P Shikmim, Israel.
Yolande CarreteroINRAE, GAFL, Monfavet, France.
Frédérique BittonINRAE, GAFL, Monfavet, France.
Laurence MoreauUMR GQE-Le Moulon, INRA, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France.
Mathilde CausseINRAE, GAFL, Monfavet, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering the genetic basis of phenotypic plasticity and genotype × environment interactions (G×E) is of primary importance for plant breeding in the context of global climate change. Tomato (Solanum lycopersicum) is a widely cultivated crop that can grow in different geographical habitats and that displays a great capacity for expressing phenotypic plasticity. We used a multi-parental advanced generation intercross (MAGIC) tomato population to explore G×E and plasticity for multiple traits measured in a multi-environment trial (MET) comprising optimal cultural conditions together with water deficit, salinity, and heat stress over 12 environments. Substantial G×E was observed for all the traits measured. Different plasticity parameters were estimated by employing Finlay-Wilkinson and factorial regression models and these were used together with genotypic means for quantitative trait loci (QTL) mapping analyses. In addition, mixed linear models were also used to investigate the presence of QTL × environment interactions. The results highlighted a complex genetic architecture of tomato plasticity and G×E. Candidate genes that might be involved in the occurrence of G×E are proposed, paving the way for functional characterization of stress response genes in tomato and for breeding climate-adapted cultivars.

Indexed as

Solanum lycopersicumAdaptation, PhysiologicalChromosome MappingGene-Environment InteractionGenotypePhenotypePlant BreedingAbiotic stressesgenotype × environment interaction (G×E)MAGIC populationphenotypic plasticityQTLtomato

Identifiers

PMID32474596
PMCPMC7501811

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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.