6533b830fe1ef96bd12970e8

RESEARCH PRODUCT

Quantitative genetics of temperature performance curves of Neurospora crassa

subject

description

AbstractEarth’s temperature is increasing due to anthropogenic CO2emissions; 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 systemNeurospora crassa. We studied the amount of genetic variation for thermal performance curves and examined possible genetic constraints by estimating theG-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 ofN. crassa, and suggest that they can have versatile responses to selection.