Quantitative genetics of temperature performance curves of Neurospora crassa
Moghadam, N., Sidhu, K., Summanen, P., Ketola, T., & Kronholm, I. (2020). Quantitative genetics of temperature performance curves of Neurospora crassa. Evolution, 74(8), 1772-1787. https://doi.org/10.1111/evo.14016
DisciplineEkologia ja evoluutiobiologiaBiologisten vuorovaikutusten huippututkimusyksikköEcology and Evolutionary BiologyCentre of Excellence in Biological Interactions Research
© The Author(s)
Earth's temperature is increasing due to anthropogenic CO2 emissions; and organisms need either to adapt to higher temperatures, migrate into colder areas, or face extinction. Temperature affects nearly all aspects of an organism's physiology via its influence on metabolic rate and protein structure, therefore genetic adaptation to increased temperature may be much harder to achieve compared to other abiotic stresses. There is still much to be learned about the evolutionary potential for adaptation to higher temperatures, therefore we studied the quantitative genetics of growth rates in different temperatures that make up the thermal performance curve of the fungal model system Neurospora crassa. We studied the amount of genetic variation for thermal performance curves and examined possible genetic constraints by estimating the G‐matrix. We observed a substantial amount of genetic variation for growth in different temperatures, and most genetic variation was for performance curve elevation. Contrary to common theoretical assumptions, we did not find strong evidence for genetic trade‐offs for growth between hotter and colder temperatures. We also simulated short term evolution of thermal performance curves of N. crassa, and suggest that they can have versatile responses to selection. ...
Dataset(s) related to the publicationhttps://doi.org/10.5061/dryad.pk0p2ngk9
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Related funder(s)Academy of Finland
Funding program(s)Research post as Academy Research Fellow, AoF
Additional information about fundingThis study was funded by grants from Emil Aaltonen foundation and Ella & Georg Ehrnrooth foundation to IK and Academy of Finland Research Fellowships to IK (no. 321584) and TK (no. 278751). We’d like to thank Matthieu Bruneaux for comments on the manuscript.
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