English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Book Chapter

Population genomics of fungal plant pathogens and the analyses of rapidly evolving genome compartments

MPS-Authors
/persons/resource/persons230114

Eschenbrenner,  Christoph J.
Max Planck Fellow Group Environmental Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society;

/persons/resource/persons221514

Feurtey,  Alice
Max Planck Fellow Group Environmental Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society;

/persons/resource/persons146855

Stukenbrock,  Eva H.
Max Planck Fellow Group Environmental Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
Supplementary Material (public)
There is no public supplementary material available
Citation

Eschenbrenner, C. J., Feurtey, A., & Stukenbrock, E. H. (2020). Population genomics of fungal plant pathogens and the analyses of rapidly evolving genome compartments. In J. Y. Dutheil (Ed.), Statistical Population Genomics (pp. 337-355). New York: Humana. doi:10.1007/978-1-0716-0199-0_14.


Cite as: https://hdl.handle.net/21.11116/0000-0007-334D-A
Abstract
Genome sequencing of fungal pathogens have documented extensive variation in genome structure and composition between species and in many cases between individuals of the same species. This type of genomic variation can be adaptive for pathogens to rapidly evolve new virulence phenotypes. Analyses of genome-wide variation in fungal pathogen genomes rely on high quality assemblies and methods to detect and quantify structural variation. Population genomic studies in fungi have addressed the underlying mechanisms whereby structural variation can be rapidly generated. Transposable elements, high mutation and recombination rates as well as incorrect chromosome segregation during mitosis and meiosis contribute to extensive variation observed in many species. We here summarize key findings in the field of fungal pathogen genomics and we discuss methods to detect and characterize structural variants including an alignment-based pipeline to study variation in population genomic data.