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• W2967886611 abstract "Abstract The filamentous fungus Neurospora crassa , a model microbial eukaryote, has a life cycle with many features that make it suitable for studying experimental evolution. However, it has lacked a general tool for estimating relative fitness of different strains in competition experiments. To remedy this need, we constructed N. crassa strains that contain a modified csr-1 locus and developed an assay for detecting the proportion of the marked strain using a post PCR high resolution melting assay. DNA extraction from spore samples can be performed on 96-well plates, followed by a PCR step, which allows many samples to be processed with ease. Furthermore, we suggest a Bayesian approach for estimating relative fitness from competition experiments that takes into account the uncertainty in measured strain proportions. We show that there is a fitness effect of the mating type locus, as mating type mat a has a higher competitive fitness than mat A . The csr-1 * marker also has a small fitness effect, but is still a suitable marker for competition experiments. As a proof of concept, we estimate the fitness effect of the qde-2 mutation, a gene in the RNA interference pathway, and show that its competitive fitness is lower than what would be expected from its mycelial growth rate alone." @default.
• W2967886611 created "2019-08-22" @default.
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• W2967886611 date "2019-08-19" @default.
• W2967886611 modified "2023-10-03" @default.
• W2967886611 title "MarkedNeurospora crassastrains for competition experiments and Bayesian methods for fitness estimates" @default.
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• W2967886611 doi "https://doi.org/10.1101/736645" @default.
• W2967886611 hasPublicationYear "2019" @default.
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