Quantitative genetics of temperature performance curves of Neurospora crassa

Autor: Pauliina A. M. Summanen, Ilkka Kronholm, Tarmo Ketola, Karendeep Sidhu, Neda Nasiri Moghadam
Rok vydání: 2020
Předmět:
0106 biological sciences
0301 basic medicine
Climate Change
Quantitative Trait Loci
evoluutio
Adaptation
Biological
kasvu
evolvability
G‐matrix
phenotypic plasticity
010603 evolutionary biology
01 natural sciences
Neurospora crassa
03 medical and health sciences
Genetic variation
Genetics
Selection (genetic algorithm)
Ecology
Evolution
Behavior and Systematics
030304 developmental biology
Abiotic component
0303 health sciences
Experimental evolution
Extinction
Models
Genetic
biology
epigeneettinen periytyminen
Crassa
Temperature
Genetic Variation
Quantitative genetics
biology.organism_classification
geneettinen muuntelu
Biological Evolution
Evolvability
030104 developmental biology
reaction norm
13. Climate action
Environmental science
fenotyyppi
lämpötila
fungi
Adaptation
sienet
General Agricultural and Biological Sciences
Biological system
Zdroj: Evolution. 74:1772-1787
ISSN: 1558-5646
0014-3820
DOI: 10.1111/evo.14016
Popis: Earth’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.
Databáze: OpenAIRE
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