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Autocars Groussin — Agence de voyage à Saint-Philbert-de-Grand-Lieu

• Loire-Atlantique
• Saint-Philbert-de-Grand-Lieu

Autocars Groussin

Heures d'ouverture.

• lundi 09:00 – 12:30, 14
• mardi 09:00 – 12:30, 14
• mercredi 09:00 – 12:30, 14
• jeudi 09:00 – 12:30, 14
• vendredi 09:00 – 12:30, 14
• samedi Fermé
• dimanche Fermé

A propos de Autocars Groussin

Autocars Groussin est la france Agence de voyage située à Saint-Philbert-de-Grand-Lieu, Loire-Atlantique. Autocars Groussin est situé à 26 Rue de l'Industrie, 44310 Saint-Philbert-de-Grand-Lieu, France.

Veuillez contacter Autocars Groussin en utilisant les informations ci-dessus: adresse, numéro de téléphone, fax, code postal, adresse de site Web, courriel, Facebook. Trouver Autocars Groussin heures d'ouverture et directions ou carte. Trouvez de vrais commentaires et évaluations de clients ou écrivez les vôtres.

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Tourism Vehicles

For your service of a day or more, we own a very diversified tourism coaches’ fleet, with a capacity from 27 to 83 seats.

Among those vehicles, we particularly own:

• 1 disabled access with an elevator that allow a disabled person by wheelchair to take a seat aboard. Setup without the disabled access: 50 passengers Setup with the disabled access: 46 passengers with 1 disabled passenger
• One VIP coach ( find here )

Here are our vehicles characteristics:

Grand Lieu Voyages

Demande de devis

Nos produits

https://www.grandlieuvoyages.com/media/les-12-coups-de-midi-jeudi-16-mai-2024-gir.pdf

My research Home page

Mathieu groussin, publications.

• Home Publications

Important Note!  Disclaimer: Papers listed on this webpage are for my personal use. Some of these pdf files may be covered by publisher copyrights. It is mandatory for you to check that your institution has the appropriate subscription to the corresponding publisher before downloading.

• 2019 14.  Yau S, Krasovec M, Rombauts S, Groussin M , Benites LF, Vancaester E, … Virus-host coexistence in phytoplankton through the genomic lens.  bioRxiv, 513622
• 2018 13.  Mazel F, Davis KM, Loudon A, Kwong WK, Groussin M* , Parfrey LW*. Is Host Filtering the Main Driver of Phylosymbiosis across the Tree of Life?  mSystems 3 (5), e00097-18
• 2017 12. Groussin M* , Mazel F*, sanders JG, Smillie CS, Lavergne S, Thuiller W and Alm EJ:  Unraveling the processes shaping mammalian gut microbiomes over evolutionary time. Nature Communications. 8:14319  pdf
• 2016 11. Groussin M , Daubin V, Gouy M and Tannier E. Ancestral Reconstruction: Theory and Practice. In: Kliman, R.M. (ed.), Encyclopedia of Evolutionary Biology. vol. 1, pp. 70-77. Oxford: Academic Press
• 2015 10. Groussin M , Boussau B, Szollosi GJ, Eme L, Gouy M, Brochier-Armanet C and Daubin V. Gene acquisitions from bacteria at the origins of major archaeal clades are vastly overestimated. Mol Biol Evol . 33 (2): 305-310 pdf 9. Mazel F, Davies TJ, Gallien L, Groussin M , Munkemuller and Thuiller W.  Influence of tree shape and evolutionary time-scale on phylogenetic diversity metrics. Ecography . DOI: 10.1111/ecog.01694 8. Hobbs JK, Prentice EJ, Groussin M and Arcus VL.  Reconstructed ancestral enzymes impose a fitness cost upon modern bacteria despite exhibiting favourable biochemical properties. J Mol Evol . 81:110-20  pdf
• 2014 7.   Groussin M* , Hobbs JK*, Szollosi GJ, Gribalso S, Arcus VL, Gouy M.  Toward more accurate ancestral protein genotype–phenotype reconstructions with the use of species tree-aware gene trees. Mol Biol Evol . 32:13-22 pdf 6.   Ramulu HG,  Groussin M , Talla E, Planel R, Daubin V, Brochier-Armanet C.  Ribosomal proteins: toward a next generation standard for prokaryotic systematics?   Mol Phylogenet Evol . 75:103-17  pdf
• 2013 5.   Groussin M , Boussau B, Charles S, Blanquart S, Gouy M.  The molecular signal for the adaptation to cold temperature during early life on Earth.   Biol Lett . 9:20130608  pdf 4.  Guéguen L, Gaillard S, Boussau B, Gouy M,  Groussin M , et al.  Bio++: efficient extensible libraries and tools for computational molecular evolution.   Mol Biol Evol . 30(8):1745-50  pdf 3.   Groussin M , Boussau B, Gouy M.  A branch-heterogeneous model of protein evolution for efficient inference of ancestral sequences.   Syst Biol . 62:523-38  pdf
• 2011 2.   Groussin M , Pawlowski J, Yang Z.  Bayesian relaxed clock estimation of divergence times in foraminifera.   Mol Phylogenet Evol . 61:157-66  pdf 1.   Groussin M , Gouy M.  Adaptation to environmental temperature is a major determinant of molecular evolutionary rates in archaea.   Mol Biol Evol . 28:2661-74  pdf

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Super cool blogs:.

• Small things considered
• Phylogenomics – J. Eisen
• TreeThinkers
• The Bayesian Kitchen
• Microbe.net
• Phylobabble

map of visitors

Groussin G Pineau des Charentes Rouge

Elevated rates of horizontal gene transfer in the industrialized human microbiome

Affiliations.

• 1 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: [email protected].
• 2 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: [email protected].
• 3 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Earth, Atmospheric and Planetary Science, Massachusetts Institute of Technology, Cambridge, MA, USA; GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
• 4 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.
• 5 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA.
• 6 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Chief Dull Knife College, Lame Deer, MT, USA.
• 7 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Institute for Systems Biology, Seattle, WA, USA; Department of Bioengineering, University of Washington, Seattle, WA, USA.
• 8 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; UMR7206 Eco-anthropologie, CNRS-MNHN-Univ Paris Diderot-Sorbonne, Paris, France.
• 9 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Institut de Recherche pour le Développement UMR 208, Muséum National d'Histoire Naturelle, Paris, France.
• 10 SA MRC / Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
• 11 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Institut de Recherche pour le Développement, Yaounde, Cameroon.
• 12 UMR7206 Eco-anthropologie, CNRS-MNHN-Univ Paris Diderot-Sorbonne, Paris, France.
• 13 Faculté de Médecine et des Sciences Biomédicales, Université Yaoundé 1, Yaoundé, Cameroun.
• 14 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Université de Montréal, Département de sciences biologiques, C.P. 6128, succursale Centre-ville, Montréal, QC, Canada; Centre d'études nordiques, Département de biochimie, de microbiologie et de bio-informatique, Université Laval, 1030 rue de la Médecine, Québec, QC, Canada.
• 15 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Resolute Bay, Nunavut, Canada.
• 16 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA.
• 17 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Université de Montréal, Département de sciences biologiques, C.P. 6128, succursale Centre-ville, Montréal, QC, Canada; Department of Microbiology and Immunology, McGill University, Montreal, QC, Canada; McGill Genome Centre, McGill University, Montreal, QC, Canada.
• 18 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental sciences, University of Helsinki, Helsinki, Finland; Environmental Policy Centre, Finnish Environment Institute SYKE, Helsinki, Finland.
• 19 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental sciences, University of Helsinki, Helsinki, Finland.
• 20 The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; The Liggins Institute, University of Auckland, Auckland 1023, New Zealand.
• 21 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Tumaini University Makumira, Arusha, Tanzania.
• 22 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Archaeology and Heritage Studies, University of Dar es Salaam, Tanzania.
• 23 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Prehistory Unit, Department of History and Philosophy, University of Alcalá, Alcalá de Henares, Madrid, Spain; Institute of Evolution in Africa, University of Alcalá de Henares, Madrid, Spain.
• 24 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
• 25 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine and Therapeutics, University of Ghana Medical School and Korle Bu Teaching Hospital, Accra, Ghana.
• 26 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, St. Dominic Hospital, Akwatia, Ghana.
• 27 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Internal Medicine and Therapeutics, School of Medical Sciences University of Cape Coast, Cape Coast, Ghana.
• 28 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Medical Scientist Training Program, Mayo Clinic, Rochester, 55905, USA.
• 29 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Catholic University College, Sunyani, Ghana.
• 30 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
• 31 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Division of Gastroenterology and Hepatology, Mayo Clinic, 200 First Street SW, Rochester, MN, USA.
• 32 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Lagos State University College of Medicine, Lagos, Nigeria.
• 33 The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Earth, Atmospheric and Planetary Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
• 34 The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.
• 35 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Global Microbiome Conservancy, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: [email protected].
• PMID: 33794144
• DOI: 10.1016/j.cell.2021.02.052

Industrialization has impacted the human gut ecosystem, resulting in altered microbiome composition and diversity. Whether bacterial genomes may also adapt to the industrialization of their host populations remains largely unexplored. Here, we investigate the extent to which the rates and targets of horizontal gene transfer (HGT) vary across thousands of bacterial strains from 15 human populations spanning a range of industrialization. We show that HGTs have accumulated in the microbiome over recent host generations and that HGT occurs at high frequency within individuals. Comparison across human populations reveals that industrialized lifestyles are associated with higher HGT rates and that the functions of HGTs are related to the level of host industrialization. Our results suggest that gut bacteria continuously acquire new functionality based on host lifestyle and that high rates of HGT may be a recent development in human history linked to industrialization.

Keywords: antimicrobial resistance; bacterial genomics; culturomics; horizontal gene transfer; host-microbe interactions; human gut microbiome; industrialization; lifestyle; urbanization; virulence.

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Publication types

• Research Support, N.I.H., Extramural
• Research Support, Non-U.S. Gov't
• Bacteria / classification
• Bacteria / genetics*
• Bacteria / isolation & purification
• DNA, Bacterial / chemistry
• DNA, Bacterial / isolation & purification
• DNA, Bacterial / metabolism
• Feces / microbiology
• Gastrointestinal Microbiome*
• Gene Transfer, Horizontal*
• Genome, Bacterial
• Rural Population
• Sequence Analysis, DNA
• Urban Population
• Whole Genome Sequencing
• DNA, Bacterial

Grants and funding

• TL1 TR002380/TR/NCATS NIH HHS/United States
• UL1 TR002377/TR/NCATS NIH HHS/United States

Mathieu Groussin

Group Leader of Genomics and Functions of Host-Microbiome Systems

[email protected]

+49 431 / 500 - 15 198

Research Group

Research interest.

My research aims to advance knowledge, develop new theories, and create tools to investigate host-microbe systems. Using in silico, in vitro and in vivo approaches, I am investigating how bacterial genomes, bacterial functions and host-microbe interactions change in health vs disease and during human evolution. In this context, I am particularly dedicated to identifying actionable features in host-associated microbiomes that can be used to improve human health. Recently, I focused on the building and characterization of a large collection of human gut microbiomes and bacterial strains in pure culture from worldwide human populations. This resource provides unprecedented access to an extensive amount of unexplored microbial biodiversity that my lab will leverage to lead large-scale cutting-edge genomics, functional and multi-omics studies.

Selected Publications