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

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.

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Eschenbrenner2020_Protocol_PopulationGenomicsOfFungalPlan.pdf (Publisher version), 371KB
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Eschenbrenner2020_Protocol_PopulationGenomicsOfFungalPlan.pdf
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 Creators:
Eschenbrenner, Christoph J.1, Author           
Feurtey, Alice1, Author           
Stukenbrock, Eva H.1, Author           
Affiliations:
1Max Planck Fellow Group Environmental Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2068284              

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Free keywords: De novo assembly; Fungal pathogens; Genome compartments; Multiple genome alignments; Transposable elements
 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.

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Language(s): eng - English
 Dates: 2020-01-242020
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-0716-0199-0_14
 Degree: -

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Title: Statistical Population Genomics
Source Genre: Book
 Creator(s):
Dutheil, Julien Y.1, Editor           
Affiliations:
1 Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635            
Publ. Info: New York : Humana
Pages: - Volume / Issue: 2090 Sequence Number: - Start / End Page: 337 - 355 Identifier: ISBN: 978-1-0716-0199-0

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Title: Methods in Molecular Biology
Source Genre: Series
 Creator(s):
Walker, John M., Editor
Affiliations:
-
Publ. Info: New York : Humana
Pages: - Volume / Issue: 2090 Sequence Number: - Start / End Page: - Identifier: ISSN: 1940-6029