Reverse Genomics: Design of Universal Epitope Sets to Isolate All Saccharibacteria Members from the Human Oral Cavity - Aix-Marseille Université Accéder directement au contenu
Article Dans Une Revue Microorganisms Année : 2022

Reverse Genomics: Design of Universal Epitope Sets to Isolate All Saccharibacteria Members from the Human Oral Cavity

Résumé

Microorganisms not yet cultured represent a large proportion of the microbes described to date. Progress in sequencing and metagenomic tools continues to increase microbial diversity without providing information on their physiological and pathophysiological characteristics, such as the recent discovery of enigmatic microbes belonging to Candidate Phyla Radiation (CPR). Reverse genomics is a recent technique allowing co-cultivation of a few CPR members, affiliated to the Saccharibacteria phylum, based on the analysis of their already-available genomes. Here, our aim is to designate a common system capable of cultivating any given taxon of this phylum from human samples. We managed to design, in silico, 11 common epitopes for all Saccharibacteria species recovered from the human oral cavity and which can serve as antigens via bioinformatics analyses. These sequences allow the synthesis of target antibodies, sorting Saccharibacteria spp. by flow cytometry and co-culturing them afterwards with adapted hosts. This epitope set can facilitate the cultivation of CPR in general, which in recent years has been considered a challenge for microbiologists, and subsequently contributes to better studying this new branch on the tree of life.
Fichier principal
Vignette du fichier
microorganisms-10-00602.pdf (685.9 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03663844 , version 1 (14-06-2023)

Identifiants

Citer

Ahmad Ibrahim, Mohamad Maatouk, Didier Raoult, Fadi Bittar. Reverse Genomics: Design of Universal Epitope Sets to Isolate All Saccharibacteria Members from the Human Oral Cavity. Microorganisms, 2022, 10 (3), pp.602. ⟨10.3390/microorganisms10030602⟩. ⟨hal-03663844⟩
11 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More