دورية أكاديمية
Challenges in microbial ecology: building predictive understanding of community function and dynamics.
| العنوان: | Challenges in microbial ecology: building predictive understanding of community function and dynamics. |
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| المؤلفون: | Widder, Stefanie, Allen, Rosalind J, Pfeiffer, Thomas, Curtis, Thomas P, Wiuf, Carsten, Sloan, William T, Cordero, Otto X, Brown, Sam P, Momeni, Babak, Shou, Wenying, Kettle, Helen, Flint, Harry J, Haas, Andreas F, Laroche, Béatrice, Kreft, Jan-Ulrich, Rainey, Paul B, Freilich, Shiri, Schuster, Stefan, Milferstedt, Kim, van Der Meer, Jan R, Groszkopf, Tobias, Huisman, Jef, Free, Andrew, Picioreanu, Cristian, Quince, Christopher, Klapper, Isaac, Labarthe, Simon, Smets, Barth F, Wang, Harris, Hamelin, Jérôme, Harmand, Jérôme, Steyer, Jean-Philippe, Trably, Eric, Institute Fellows, Isaac Newton, Soyer, Orkun S |
| المساهمون: | CUBE, Department of Microbiology and Ecosystem Science, Medizinische Universität Wien = Medical University of Vienna, SUPA, School of Physics and Astronomy, University of Edinburgh (Edin.), New Zealand Institute for Advanced Study, School of Civil Engineering and Geosciences, University of Newcastle upon Tyne, Department of Mathematical Sciences Copenhagen, Faculty of Science Copenhagen, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Infrastructure and Environment Research Division, School of Engineering, University of Glasgow, Department of Civil and Environmental Engineering Cambridge (CEE), Massachusetts Institute of Technology (MIT), Centre for Immunity, Infection and Evolution, School of Biological Sciences, Department of Biology, Boston College (BC), Fred Hutchinson Cancer Research Center Seattle (FHCRC), Division of Basic Sciences, Biomathematics and Statistics Scotland, Rowett Institute of Nutrition and Health, University of Aberdeen, Biology Department San Diego, San Diego State University (SDSU), Mathématiques et Informatique Appliquées du Génome à l'Environnement Jouy-En-Josas (MaIAGE), Institut National de la Recherche Agronomique (INRA), School of Biosciences, University of Birmingham, Newe Ya’ar Research Center, Agricultural Research Organization, Department of Bioinformatics, Friedrich-Schiller-Universität = Friedrich Schiller University Jena Jena, Germany, Laboratoire de Biotechnologie de l'Environnement Narbonne (LBE), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Department of Fundamental Microbiology Lausanne, Université de Lausanne = University of Lausanne (UNIL), School of Life Sciences, University of Warwick Coventry, Department of Aquatic Microbiology, University of Amsterdam Amsterdam = Universiteit van Amsterdam (UvA), Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Science, Department of Biotechnology, Delft University of Technology (TU Delft), Warwick Medical School, Department of Mathematics, Temple University Philadelphia, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Environmental Engineering, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Department of Systems Biology, Columbia University New York, Genomic Physics LCQB (LCQB-Gphi), Biologie Computationnelle et Quantitative = Laboratory of Computational and Quantitative Biology (LCQB), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Isaac Newton Institute of Mathematical Sciences |
| المصدر: | ISSN: 1751-7362. |
| بيانات النشر: | HAL CCSD Nature Publishing Group |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | microbial, ecology, challenge in microbial, challenge, predictive, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
| الوصف: | Marco Cosentino Lagomarsino (LCQB) is a member of Isaac Newton Institute Fellows consortium. ; The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth's soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model-experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved.The ISME Journal advance online publication, 29 March 2016; doi:10.1038/ismej.2016.45. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/27022995; hal-01512087; https://hal.science/hal-01512087Test; https://hal.science/hal-01512087/documentTest; https://hal.science/hal-01512087/file/ismej201645a_%7B64F1EAC4-9A8A-4263-82F6-3E22E5A830FF%7D.pdfTest; PRODINRA: 351738; PUBMED: 27022995; WOS: 000387035700001 |
| DOI: | 10.1038/ismej.2016.45 |
| الإتاحة: | https://doi.org/10.1038/ismej.2016.45Test https://hal.science/hal-01512087Test https://hal.science/hal-01512087/documentTest https://hal.science/hal-01512087/file/ismej201645a_%7B64F1EAC4-9A8A-4263-82F6-3E22E5A830FF%7D.pdfTest |
| حقوق: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.BDA020AF |
| قاعدة البيانات: | BASE |
| DOI: | 10.1038/ismej.2016.45 |
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