Journal
G3-GENES GENOMES GENETICS
Volume 9, Issue 3, Pages 969-982Publisher
OXFORD UNIV PRESS INC
DOI: 10.1534/g3.118.200017
Keywords
experimental evolution; transcriptional network; heat stress; oxidative stress; Caenorhabditis remanei; RNA-seq
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Funding
- GRFP from the National Science Foundation [1210922]
- DDIG from the National Science Foundation [1210922]
- Ruth L. Kirschstein NRSA Postdoctoral Fellowship [AG032900]
- National Institutes of Health [AG022500, AG043988, GM096008]
- WAC [RR032670]
- Ellison Medical Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1210922] Funding Source: National Science Foundation
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Organisms can cope with stressful environments via a combination of phenotypic plasticity at the individual level and adaptation at the population level. Changes in gene expression can play an important role in both. Significant advances in our understanding of gene regulatory plasticity and evolution have come from comparative studies in the field and laboratory. Experimental evolution provides another powerful path by which to learn about how differential regulation of genes and pathways contributes to both acclimation and adaptation. Here we present results from one such study using the nematode Caenorhabditis remanei. We selected one set of lines to withstand heat stress and another oxidative stress. We then compared transcriptional responses to acute heat stress of both and an unselected control to the ancestral population using a weighted gene coexpression network analysis, finding that the transcriptional response is primarily dominated by a plastic response that is shared in the ancestor and all evolved populations. In addition, we identified several modules that respond to artificial selection by (1) changing the baseline level of expression, (2) altering the magnitude of the plastic response, or (3) a combination of the two. Our findings therefore reveal that while patterns of transcriptional response can be perturbed with short bouts of intense selection, the overall ancestral structure of transcriptional plasticity is largely maintained over time.
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