Neurospora from natural populations: Population genomics insights into the Life history of a model microbial Eukaryote

Gladieux Pierre, De Bellis Fabien, Hann-Soden Christopher, Svedberg Jesper, Johannesson Hanna, Taylor John W.. 2020. Neurospora from natural populations: Population genomics insights into the Life history of a model microbial Eukaryote. In : Statistical population genomics. Dutheil Julien Y. (ed.). Cham : Springer, pp. 313-336. (Method in Molecular Biology, 2090) ISBN 978-1-07-160199-0

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Abstract : The ascomycete filamentous fungus Neurospora crassa played a historic role in experimental biology and became a model system for genetic research. Stimulated by a systematic effort to collect wild strains initiated by Stanford geneticist David Perkins, the genus Neurospora has also become a basic model for the study of evolutionary processes, speciation, and population biology. In this chapter, we will first trace the history that brought Neurospora into the era of population genomics. We will then cover the major contributions of population genomic investigations using Neurospora to our understanding of microbial biogeography and speciation, and review recent work using population genomics and genome-wide association mapping that illustrates the unique potential of Neurospora as a model for identifying the genetic basis of (potentially adaptive) phenotypes in filamentous fungi. The advent of population genomics has contributed to firmly establish Neurospora as a complete model system and we hope our review will entice biologists to include Neurospora in their research.

Mots-clés Agrovoc : Neurospora crassa, génomique, Génétique des populations, Introgression, Biogéographie

Mots-clés libres : Life sciences, Bioinformatics, Genetics

Classification Agris : F30 - Plant genetics and breeding

Auteurs et affiliations

  • Gladieux Pierre, INRA (FRA)
  • De Bellis Fabien, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-7070-7691
  • Hann-Soden Christopher
  • Svedberg Jesper
  • Johannesson Hanna
  • Taylor John W.

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