Author

Maria Razzauti

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Organism:mouse· 2 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Organism:rat· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

Maxime GalaniD· 2 shared Nathalie CharbonneliD· 2 shared Adelaide Dubois· 1 shared Alexandre Dehne-Garcia· 1 shared Anne LoiseauiD· 1 shared Bertrand Gauffre· 1 shared Carine BrouatiD· 1 shared Caroline TatardiD· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersEvolutionary Biology

Maxime GalanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Microevolution of Bank Voles (Myodes glareolus) at Neutral and Immune Related Genes During Multiannual Dynamic Cycles: Consequences for Puumala hantavirus Epidemiology

Adelaide Dubois, Maxime Galan, Jean-Francois Cosson, Bertrand Gauffre, Heikki Henttonen, Jukka Niemimaa, Maria Razzauti, Liina Voutilainen, Renaud Vitalis, Emmanuel Guivier, Nathalie Charbonnel

The paper examines microevolutionary changes in bank voles during population cycles and their impact on Puumala hantavirus epidemiology, finding that neutral processes dominate over selection.

bioRxiv · Sep 16, 2016Evolutionary Biology

16S rRNA amplicon sequencing for epidemiological surveys of bacteria in wildlife: the importance of cleaning post-sequencing data before estimating positivity, prevalence and co-infection

Maxime Galan, Maria Razzauti, Emilie Bard, Maria Bernard, Carine Brouat, Nathalie Charbonnel, Alexandre Dehne-Garcia, Anne Loiseau, Caroline Tatard, Lucie Tamisier, Muriel Vayssier-Taussat, Helene Vignes, Jean Francois Cosson

This paper describes a data cleaning procedure for 16S rRNA amplicon sequencing to accurately estimate bacterial positivity, prevalence, and coinfection in wildlife, using rodent samples from Senegal.

bioRxiv · Jun 19, 2016Microbiology