An Insight into Functional Metagenomics: A High-Throughput Approach to Decipher Food-Microbiota-Host Interactions in the Human Gut.

bacteria–host crosstalk gut microbiota metagenomics microbiome

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
18 Dec 2023
Historique:
received: 15 11 2023
revised: 08 12 2023
accepted: 15 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

Our understanding of the symbiotic relationship between the microbiota and its host has constantly evolved since our understanding that the "self" was not only defined by our genetic patrimony but also by the genomes of bugs living in us. The first culture-based methods highlighted the important functions of the microbiota. However, these methods had strong limitations and did not allow for a full understanding of the complex relationships that occur at the interface between the microbiota and the host. The recent development of metagenomic approaches has been a groundbreaking step towards this understanding. Its use has provided new insights and perspectives. In the present chapter, we will describe the advances of functional metagenomics to decipher food-microbiota and host-microbiota interactions. This powerful high-throughput approach allows for the assessment of the microbiota as a whole (including non-cultured bacteria) and enabled the discovery of new signaling pathways and functions involved in the crosstalk between food, the gut microbiota and its host. We will present the pipeline and highlight the most important studies that helped to develop the field. To conclude, we will emphasize the most recent developments and hot topics in functional metagenomics.

Identifiants

pubmed: 38139456
pii: ijms242417630
doi: 10.3390/ijms242417630
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR-11-DPBS-0001

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Elliot Mathieu (E)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.

Véronique Léjard (V)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.

Chaima Ezzine (C)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.

Pauline Govindin (P)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.

Aurélien Morat (A)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.

Margot Giat (M)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.

Nicolas Lapaque (N)

Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.

Joël Doré (J)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.
Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.

Hervé M Blottière (HM)

Université Paris-Saclay, INRAE, MGP Metagenopolis, 78350 Jouy-en-Josas, France.
Nantes Université, INRAE, UMR 1280, PhAN, 44000 Nantes, France.

Classifications MeSH