Author

J.-P. Rossi

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· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Approach:experimental assay· 2 Research Focus:phylogenetics / evolution· 2 Research Focus:benchmarking· 1 Approach:comparative / phylogenetic analysis· 1 Research Focus:database / resource· 1 Research Focus:host-pathogen & immune response· 1 Organism:plant (other)· 1

Frequent Co-Authors

a. cruaud· 3 shared J.-Y. Rasplus· 3 shared L. Saune· 2 shared S. Nidelet· 2 shared A. Bain· 1 shared A.-A. Gonzalez· 1 shared B. B. Blaimer· 1 shared C. Tollon-Cordet· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersEvolutionary Biology

a. cruaud

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Author profile →

3 papers

Recent·Most cited

Exploring systematic biases, rooting methods and morphological evidence to unravel the evolutionary history of the genus Ficus (Moraceae)

J.-Y. Rasplus, L. J. Rodriguez, L. Saune, Y.-Q. Peng, A. Bain, F. Kjellberg, R. D. Harrison, R. A. S. Pereira, R. Ubaidillah, C. Tollon-Cordet, M. Gautier, J.-P. Rossi, a. cruaud

This study combines RAD sequencing and morphological data to resolve the phylogeny of Ficus, identifying biases and revealing a monophyletic subgenus and gynodioecious clade.

bioRxiv · Apr 15, 2020Evolutionary Biology

Ultra-Conserved Elements and morphology reciprocally illuminate conflicting phylogenetic hypotheses in Chalcididae (Hymenoptera, Chalcidoidea)

a. cruaud, G. Delvare, S. Nidelet, L. Saune, S. Ratnasingham, M. Chartois, B. B. Blaimer, M. Gates, S. G. Brady, S. Faure, S. van Noort, J.-P. Rossi, j.-y. Rasplus

The paper uses UCEs and morphology to resolve conflicting phylogenetic hypotheses in Chalcididae, revealing biases and proposing a new classification.

bioRxiv · Sep 9, 2019Evolutionary Biology

Using insects to detect, monitor and predict the distribution of Xylella fastidiosa: a case study in Corsica

A. Cruaud, A.-A. Gonzalez, M. Godefroid, S. Nidelet, J.-C. Streito, J.-M. Thuillier, J.-P. Rossi, S. Santoni, J.-Y. Rasplus

This study uses insects to detect and predict the distribution of Xylella fastidiosa in Corsica, finding that insects can reveal more about the pathogen's presence and diversity than plant testing alone.

Scientific Reports · Oct 23, 2018Peer-reviewedEcology