Host-microbiota interactions: from holobiont theory to analysis

Jean-Christophe Simon , Julian R. Marchesi , Christophe Mougel , Marc-Andre Selosse

Abstract

In the recent years, the holobiont concept has emerged as a theoretical and experimental framework to study the interactions between hosts and their associated microbial communities in all types of ecosystems. The spread of this concept in many branches of biology results from the fairly recent realization of the ubiquitous nature of hostassociated microbes and their central role in host biology, ecology, and evolution. Through this special series “Host-microbiota interactions: from holobiont theory to analysis,” we wanted to promote this field of research which has considerable implications for human health, food production, and ecosystem protection. In this preface, we highlight a collection of articles selected for this special issue that show, use, or debate the concept of holobiont to approach taxonomically and ecologically diverse organisms, from humans and plants to sponges and insects. We also identify some theoretical and methodological challenges and propose directions for future research on holobionts.
Author Jean-Christophe Simon
Jean-Christophe Simon,,
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, Julian R. Marchesi
Julian R. Marchesi,,
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, Christophe Mougel
Christophe Mougel,,
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, Marc-Andre Selosse (FB / DPTNC)
Marc-Andre Selosse,,
- Department of Plant Taxonomy and Nature Conservation
Journal seriesMicrobiome, ISSN 2049-2618, (A 45 pkt)
Issue year2019
Vol7
Pages1-5
Publication size in sheets0.5
Keywords in EnglishHost-microbiota interactions, holobiont, hologenome, metagenomics, symbiosis
DOIDOI:10.1186/s40168-019-0619-4
URL https://doi.org/10.1186/s40168-019-0619-4
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)45
ScoreMinisterial score = 45.0, ArticleFromJournal
Ministerial score (2013-2016) = 45.0, ArticleFromJournal
Publication indicators WoS Impact Factor: 2017 = 9.133 (2) - 2017=10.903 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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