Literature DB >> 28608555

Epistasis × environment interactions among Arabidopsis thaliana glucosinolate genes impact complex traits and fitness in the field.

Rachel E Kerwin1,2, Julie Feusier1, Alise Muok1, Catherine Lin1, Brandon Larson1, Daniel Copeland1, Jason A Corwin1, Matthew J Rubin3, Marta Francisco4, Baohua Li1, Bindu Joseph1, Cynthia Weinig3, Daniel J Kliebenstein1,5.   

Abstract

Despite the growing number of studies showing that genotype × environment and epistatic interactions control fitness, the influences of epistasis × environment interactions on adaptive trait evolution remain largely uncharacterized. Across three field trials, we quantified aliphatic glucosinolate (GSL) defense chemistry, leaf damage, and relative fitness using mutant lines of Arabidopsis thaliana varying at pairs of causal aliphatic GSL defense genes to test the impact of epistatic and epistasis × environment interactions on adaptive trait variation. We found that aliphatic GSL accumulation was primarily influenced by additive and epistatic genetic variation, leaf damage was primarily influenced by environmental variation and relative fitness was primarily influenced by epistasis and epistasis × environment interactions. Epistasis × environment interactions accounted for up to 48% of the relative fitness variation in the field. At a single field site, the impact of epistasis on relative fitness varied significantly over 2 yr, showing that epistasis × environment interactions within a location can be temporally dynamic. These results suggest that the environmental dependency of epistasis can profoundly influence the response to selection, shaping the adaptive trajectories of natural populations in complex ways, and deserves further consideration in future evolutionary studies.
© 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Entities:  

Keywords:  adaptation; epistasis; fitness; genotype × environment interactions; glucosinolates; natural variation; plant-herbivore interactions; secondary metabolism

Mesh:

Substances:

Year:  2017        PMID: 28608555     DOI: 10.1111/nph.14646

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  9 in total

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Authors:  Caroline Müller; Monique Schulz; Eleonora Pagnotta; Luisa Ugolini; Ting Yang; Annemarie Matthes; Luca Lazzeri; Niels Agerbirk
Journal:  J Chem Ecol       Date:  2018-09-14       Impact factor: 2.626

2.  Network-Guided Discovery of Extensive Epistasis between Transcription Factors Involved in Aliphatic Glucosinolate Biosynthesis.

Authors:  Baohua Li; Michelle Tang; Ayla Nelson; Hart Caligagan; Xue Zhou; Caitlin Clark-Wiest; Richard Ngo; Siobhan M Brady; Daniel J Kliebenstein
Journal:  Plant Cell       Date:  2018-01-09       Impact factor: 11.277

3.  Epistatic Transcription Factor Networks Differentially Modulate Arabidopsis Growth and Defense.

Authors:  Baohua Li; Michelle Tang; Céline Caseys; Ayla Nelson; Marium Zhou; Xue Zhou; Siobhan M Brady; Daniel J Kliebenstein
Journal:  Genetics       Date:  2019-12-18       Impact factor: 4.562

4.  Improving genomic predictions with inbreeding and nonadditive effects in two admixed maize hybrid populations in single and multienvironment contexts.

Authors:  Morgane Roth; Aurélien Beugnot; Tristan Mary-Huard; Laurence Moreau; Alain Charcosset; Julie B Fiévet
Journal:  Genetics       Date:  2022-04-04       Impact factor: 4.402

5.  Genetic variation, environment and demography intersect to shape Arabidopsis defense metabolite variation across Europe.

Authors:  Ella Katz; Jia-Jie Li; Benjamin Jaegle; Haim Ashkenazy; Shawn R Abrahams; Clement Bagaza; Samuel Holden; Chris J Pires; Ruthie Angelovici; Daniel J Kliebenstein
Journal:  Elife       Date:  2021-05-05       Impact factor: 8.140

6.  Comparison of the Relative Potential for Epigenetic and Genetic Variation To Contribute to Trait Stability.

Authors:  Emma S T Aller; Lea M Jagd; Daniel J Kliebenstein; Meike Burow
Journal:  G3 (Bethesda)       Date:  2018-05-04       Impact factor: 3.154

7.  Fast and flexible linear mixed models for genome-wide genetics.

Authors:  Daniel E Runcie; Lorin Crawford
Journal:  PLoS Genet       Date:  2019-02-08       Impact factor: 5.917

8.  Transcriptional Variation in Glucosinolate Biosynthetic Genes and Inducible Responses to Aphid Herbivory on Field-Grown Arabidopsis thaliana.

Authors:  Yasuhiro Sato; Ayumi Tezuka; Makoto Kashima; Ayumi Deguchi; Rie Shimizu-Inatsugi; Misako Yamazaki; Kentaro K Shimizu; Atsushi J Nagano
Journal:  Front Genet       Date:  2019-09-11       Impact factor: 4.599

9.  Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation.

Authors:  Yanjun Zan; Örjan Carlborg
Journal:  PLoS Genet       Date:  2020-05-11       Impact factor: 5.917

  9 in total

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