Author

M. I. Tenaillon

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

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 6 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Approach:experimental assay· 3 Research Focus:gene regulatory network inference· 3 Organism:plant (other)· 3 Organism:zebrafish· 3 Assay:bulk RNA-seq· 2 Research Focus:development & morphogenesis· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

A. Ressayre· 2 shared C. Dillmann· 2 shared E. Burban· 2 shared E. MARCHADIER· 2 shared L. E. Eguiarte· 2 shared M. Le Guilloux· 2 shared A. Bourgais· 1 shared A. Desbiez-Piat· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

A. Ressayre

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

RIDGE, a tool tailored to detect gene flow barriers across species pairs

E. Burban, M. I. Tenaillon, S. Glemin

RIDGE detects gene flow barriers between species pairs using Bayesian statistics and summary statistics, showing effectiveness in identifying barrier loci and migration signals.

bioRxiv · Sep 16, 2023Evolutionary Biology

Pervasive GxE interactions shape adaptive trajectories and the exploration of the phenotypic space in artificial selection experiments

A. Desbiez-Piat, A. Ressayre, E. MARCHADIER, A. Noly, C. Remoue, C. Vitte, H. Belcram, A. Bourgais, N. Galic, M. Le Guilloux, M. I. Tenaillon, C. Dillmann

This study quantifies the role of genetic variance and GxE interactions in shaping phenotypic responses to selection in maize flowering time experiments.

bioRxiv · Jan 13, 2023Evolutionary Biology

Not so local: the population genetics of convergent adaptation in maize and teosinte.

S. Tittes, A. Lorant, S. McGinty, J. B. Holland, J. d. J. Sanchez-Gonzalez, A. S. Seetharam, M. I. Tenaillon, J. Ross-Ibarra

The paper investigates local and convergent adaptation in maize and teosinte, finding intermediate geographic scales for adaptive genetic sharing.

bioRxiv · Sep 9, 2021Evolutionary Biology

Gene network simulations provide testable predictions for the molecular domestication syndrome

E. Burban, M. I. Tenaillon, A. Le Rouzic

The paper uses gene network simulations to predict molecular changes in domesticated plants compared to wild forms, identifying five key genetic architecture shifts.

bioRxiv · Mar 19, 2021Evolutionary Biology

A wild Cucurbita genome reveals the role of structural variants and introgression in domestication

J. Barrera-Redondo, G. Sanchez-de la Vega, J. A. Aguirre-Liguori, G. Castellanos-Morales, Y. T. Gutierrez-Guerrero, X. Aguirre-Dugua, E. Aguirre-Planter, M. I. Tenaillon, R. Lira-Saade, L. E. Eguiarte

This study analyzes the genome of Cucurbita argyrosperma to identify structural variants and introgression related to domestication traits.

bioRxiv · Oct 15, 2020Evolutionary Biology

Common gardens in teosintes reveal the establishment of a syndrome of adaptation to altitude

M.-A. Fustier, N. E. Martinez-Ainsworth, J. Aguirre-Liguori, A. Venon, H. Corti, A. Rousselet, F. Dumas, H. Dittberner, M. G. Camarena, D. Grimanelli, O. Ovaskainen, M. Falque, L. Moreau, J. de Meaux, S. Montes-Hernandez, , M. I. Tenaillon

The paper identifies an altitudinal syndrome in teosintes through common garden experiments and genomic analysis, showing pleiotropy and adaptive variants relevant for maize breeding.

bioRxiv · Dec 21, 2019Evolutionary Biology

Transcriptomic response to divergent selection for flowering time in maize reveals convergence and key players of the underlying gene regulatory network

M. I. Tenaillon, K. Seddiki, M. Mollion, M. Le Guilloux, E. Marchadier, A. Ressayre, C. Dillmann

The paper studies the transcriptomic response to flowering time selection in maize, identifying convergent gene expression patterns and key regulatory genes.

bioRxiv · Jun 1, 2019 · PreprintPlant Biology