GxE and changes to the genetic architecture of flowering time in an overwintering environment

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Abstract

Characterizing how the expression of genetic variation changes across environments is essential for understanding evolution in complex environments, the evolution of phenotypic plasticity, and the genetic architecture of adaptation. We investigated how the phenotypic distribution, large-effect loci, and polygenetic architecture of flowering time in Arabidopsis thaliana changes when grown in an ecologically realistic environment compared to standard chamber conditions. We grew 479 A. thaliana accessions in an overwintering common garden that have previously been phenotyped in growth chambers by the 1001 Genomes Project (2016). Our findings suggest there is extensive GxE for flowering time between the overwintering common garden and the growth chamber environments. None of the large effect loci that we identified using a multivariate Genome Wide Association Study (GWAS) were shared across growth conditions. We find evidence of allelic differential sensitivity, conditional neutrality, and antagonistic pleiotropy contributing to GxE for flowering time between growth conditions. Our results also suggest that the effects of genetic variation across multiple flowering time regulatory pathways is revealed when grown in a more ecologically realistic environment. The effect sizes for the most significant 1% of SNPs are moderately correlated between the outdoor and growth chamber conditions which indicates a partially shared genetic basis. Overall, our findings highlight how making inferences about the genetic basis and evolution of complex traits may be dependent on conducting experiments in ecologically realistic environments.

Article Summary

A crucial aspect of characterising the genetic basis of complex traits is knowing how genetic variation is expressed differently across environmental conditions. This research compares the genetic architecture of Arabidopsis thaliana flowering time between an ecologically realistic environment to standard lab conditions. Although the genetic basis of flowering time is partially shared between environments, large-effect loci differ in both magnitude and direction of effects across environments. These findings highlight how phenotyping traits in realistic environments is essential for understanding the contribution of individual loci, roles of different genetic pathways, and evolutionary consequences of phenotypic variation in complex traits.

Article activity feed

  1. GxE and changes to the genetic architecture of flowering time in an overwintering environment https://www.biorxiv.org/content/10.64898/2026.10.30.762947v1

  2. GxE and changes to the genetic architecture of flowering time in an overwintering environment https://www.biorxiv.org/content/10.64898/2026.10.30.762947v1

  3. GxE and changes to the genetic architecture of flowering time in an overwintering environment https://www.biorxiv.org/content/10.64898/2026.10.30.762947v1