A1 Journal article (refereed)
Quantitative genetics of temperature performance curves of Neurospora crassa (2020)

Moghadam, N.N., Sidhu, K., Summanen, P.A.M., 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

JYU authors or editors

Publication details

All authors or editors: Moghadam, N.N.; Sidhu, K.; Summanen, P.A.M.; Ketola, T.; Kronholm, I.

Journal or series: Evolution

ISSN: 0014-3820

eISSN: 1558-5646

Publication year: 2020

Volume: 74

Issue number: 8

Pages range: 1772-1787

Publisher: Wiley

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1111/evo.14016

Research data link: https://doi.org/10.5061/dryad.pk0p2ngk9

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/69184

Abstract

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.

Keywords: fungi; growth; temperature; phenotype; genetic variation; evolution; epigenetic inheritance

Free keywords: evolvability; fungi; G‐matrix; phenotypic plasticity; reaction norm

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Ministry reporting: Yes

VIRTA submission year: 2020

JUFO rating: 3