Zeitschriftenaufsatz
|
2020
Adaptation of plasticity to projected maximum temperatures and across climatically defined bioregions
Autor:in
Sandoval-Castillo, Jonathan; Gates, Katie; Brauer, Chris; Smith, Steven; Bernatchez, Louis; Beheregaray, Luciano
Publikationen als Autor:in / Herausgeber:in der Vetmeduni
Abstrakt
Resilience to environmental stressors due to climate warming is influenced by local adaptations, including plastic responses. The recent literature has focused on genomic signatures of climatic adaptation, but little is known about how plastic capacity may be influenced by biogeographic and evolutionary processes. We investigate phenotypic plasticity as a target of climatic selection, hypothesizing that lineages that evolved in warmer climates will exhibit greater plastic adaptive resilience to upper thermal stress. This was experimentally tested by comparing transcriptomic responses within and among temperate, subtropical, and desert ecotypes of Australian rainbowfish subjected to contemporary and projected summer temperatures. Critical thermal maxima were estimated, and ecological niches delineated using bioclimatic modeling. A comparative phylogenetic expression variance and evolution model was used to assess plastic and evolved changes in gene expression. Although 82% of all expressed genes were found in the three ecotypes, they shared expression patterns in only 5 out of 236 genes that responded to the climate change experiment. A total of 532 genes showed signals of adaptive (i.e., genetic-based) plasticity due to ecotype-specific directional selection, and 23 of those responded to projected summer tem-peratures. Network analyses demonstrated centrality of these genes in thermal response pathways. The greatest adaptive resil-ience to upper thermal stress was shown by the subtropical eco-type, followed by the desert and temperate ecotypes. Our findings indicate that vulnerability to climate change will be highly influ-enced by biogeographic factors, emphasizing the value of integra-tive assessments of climatic adaptive traits for accurate estimation of population and ecosystem responses.
Schlagwörter
climate change; ecological genomics; teleosts; thermal biology; climatic variability hypothesis
Dokumententyp
Originalarbeit
CC Lizenz
CCBYNCND
Open Access Type
Hybrid
ISSN/eISSN
0027-8424 - 1091-6490
WoS ID
PubMed ID