Author

F. Delsuc

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· 8

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Assay:whole-genome sequencing· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:multiple species· 2 Research Focus:phylogenetics / evolution· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

M.-K. Tilak· 5 shared R. Allio· 4 shared A. Magdeleine· 2 shared B. de Thoisy· 2 shared B. Nabholz· 2 shared C. A. Emerling· 2 shared N. L. Avenant· 2 shared S. Teullet· 2 shared

Activity by Year

2018-2023 · peak 2/yr

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10 top collaborators · 24 mutual co-author links

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5 shared papersEvolutionary Biology

M.-K. Tilak

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8 papers

Recent·Most cited

Metagenomics uncovers dietary adaptations for chitin digestion in the gut microbiota of convergent myrmecophagous mammals

S. Teullet, M.-K. Tilak, A. Magdeleine, R. Schaub, N. M. Weyer, W. Panaino, A. Fuller, W. J. Loughry, N. L. Avenant, B. de Thoisy, G. Borrel, F. Delsuc

The paper uses metagenomics to identify chitinolytic bacteria in the gut microbiota of myrmecophagous mammals, revealing convergent adaptations for chitin digestion across species.

bioRxiv · Apr 21, 2023Evolutionary Biology

PhylteR: efficient identification of outlier sequences in phylogenomic datasets

A. Comte, T. Tricou, E. Tannier, J. Joseph, A. Siberchicot, S. Penel, R. Allio, F. Delsuc, S. Dray, D. M. de Vienne

PhylteR identifies outlier sequences in phylogenomic datasets using DISTATIS, improving gene tree concordance with species trees.

bioRxiv · Feb 2, 2023Evolutionary Biology

Genomic data suggest parallel dental vestigialization within the xenarthran radiation

C. A. Emerling, G. C. Gibb, M.-K. Tilak, J. J. Hughes, M. Kuch, A. T. Duggan, H. N. Poinar, M. W. Nachman, F. Delsuc

The paper uses genomic data to show that dental vestigialization in xenarthrans occurred through independent events rather than a single ancestral decay.

bioRxiv · Dec 9, 2022Evolutionary Biology

Transcriptomic data reveal divergent paths of chitinase evolution underlying dietary convergence in anteaters and pangolins

R. Allio, S. Teullet, D. Lutgen, A. Magdeleine, R. Koual, M.-K. Tilak, B. de Thoisy, C. A. Emerling, T. Lefebure, F. Delsuc

This study compares transcriptomic data from ant-eating mammals to show divergent chitinase evolution in pangolins and anteaters despite convergent diets.

bioRxiv · Nov 29, 2022Evolutionary Biology

The origins and drivers of Neotropical diversity

A. S. Meseguer, A. Michel, P.-H. Fabre, O. Perez-Escobar, G. Chomicki, R. Riina, A. Antonelli, P.-O. Antoine, F. Delsuc, F. Condamine

The paper evaluates four evolutionary scenarios for Neotropical diversification using 150 phylogenies, finding that most clades show increasing diversity over time, while plants and tetrapods exhibit different diversification patterns.

bioRxiv · Feb 24, 2021Evolutionary Biology

High-quality carnivore genomes from roadkill samples enable species delimitation in aardwolf and bat-eared fox

R. Allio, M.-K. Tilak, C. Scornavacca, N. L. Avenant, E. Corre, B. Nabholz, F. Delsuc

This study uses roadkill samples to generate high-quality genomes for aardwolf and bat-eared fox, revealing potential species status for aardwolf subspecies and similar population histories between species.

bioRxiv · Sep 15, 2020Evolutionary Biology

MitoFinder: efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics

R. Allio, A. Schomaker-Bastos, J. Romiguier, F. Prosdocimi, B. Nabholz, F. Delsuc

MitoFinder extracts mitogenomic data from UCE libraries, increasing ant mitogenome availability by tenfold using metagenomic assemblers.

bioRxiv · Jun 27, 2019Evolutionary Biology

A phylogenomic framework and timescale for comparative studies of tunicates

F. Delsuc, H. Philippe, G. Tsagkogeorga, P. Simion, M.-K. Tilak, X. Turon, S. Lopez-Legentil, J. Piette, P. Lemaire, E. J. P. Douzery

The paper constructs a phylogenomic dataset for tunicates using transcriptomic data, revealing evolutionary relationships and divergence times among major tunicate clades.

bioRxiv · Mar 31, 2018Evolutionary Biology