Author

M. Boisseau

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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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

G. Salle· 2 shared M. Basiaga· 2 shared N. Mach· 2 shared T. Kuzmina· 2 shared A. Bennouna· 1 shared A. Exbrayat· 1 shared A. Gesbert· 1 shared A. Marie· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersEcology

G. Salle

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3 papers

Recent·Most cited

Spatial scale influences taxon conservation in the eukaryotic virome of a mosquito

P. Gil, A. Exbrayat, E. Loire, I. Rakotoarivoany, F. Charriat, T. Baldet, M. Boisseau, A. Marie, B. Frances, G. L'Ambert, M. Bessat, Y. Otify, M. Goffredo, G. Mancini, N. Busquets, , S. Gutierrez

The paper examines how spatial scale affects taxon conservation in the eukaryotic virome of Culex pipiens mosquitoes across multiple countries, revealing deterministic patterns in virome assembly.

bioRxiv · Nov 23, 2022 · PreprintEcology

Evaluation of the nemabiome approach for the study of equine strongylid communities

E. Courtot, M. Boisseau, S. Dhorne-Pollet, D. Serreau, A. Gesbert, F. Reigner, M. Basiaga, T. Kuzmina, J. Lluch, G. Annonay, C. Kuchly, I. Diekmann, J. Krücken, G. von Samson-Himmelstjerna, N. Mach, G. Salle

This study evaluates the nemabiome approach for equine strongylid species identification using ITS-2 and a new COI barcode, finding COI less effective due to amplification biases and lower sensitivity.

bioRxiv · Jul 22, 2022 · PreprintEcology

Species turnover between age groups of horses and positive network of co-occurrences define the structure of horse strongylid communities: a meta-analysis

M. Boisseau, N. Mach, M. Basiaga, S. Kornas, T. Kuzmina, C. Laugier, G. Salle

This study analyzes horse strongylid communities using a meta-analysis to identify factors shaping their diversity and structure, finding that species turnover between age groups and positive co-occurrence networks are key.

bioRxiv · May 17, 2021 · PreprintEcology