Omics technologies in poultry health and productivity - part 1: current use in poultry research.
16s rRNA gene sequencing, metagenomics
Genomics
integrated multiomics
metabolomics
multiple omics
proteomics
transcriptomics
Journal
Avian pathology : journal of the W.V.P.A
ISSN: 1465-3338
Titre abrégé: Avian Pathol
Pays: England
ID NLM: 8210638
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
pubmed:
9
6
2022
medline:
11
9
2022
entrez:
8
6
2022
Statut:
ppublish
Résumé
In biology, molecular terms with the suffix "-omics" refer to disciplines aiming at the collective characterization of pools of molecules derived from different layers (DNA, RNA, proteins, metabolites) of living organisms using high-throughput technologies. Such omics analyses have been widely implemented in poultry research in recent years. This first part of a bipartite review on omics technologies in poultry health and productivity examines the use of multiple omics and multi-omics techniques in poultry research. More specific present and future applications of omics technologies, not only for the identification of specific diagnostic biomarkers, but also for potential future integration in the daily monitoring of poultry production, are discussed in part 2. Approaches based on omics technologies are particularly used in poultry research in the hunt for genetic markers of economically important phenotypical traits in the host, and in the identification of key bacterial species or functions in the intestinal microbiome. Integrative multi-omics analyses, however, are still scarce. Host physiology is investigated via genomics together with transcriptomics, proteomics and metabolomics techniques, to understand more accurately complex production traits such as disease resistance and fertility. The gut microbiota, as a key player in chicken productivity and health, is also a main subject of such studies, investigating the association between its composition (16S rRNA gene sequencing) or function (metagenomics, metatranscriptomics, metaproteomics, metabolomics) and host phenotypes. Applications of these technologies in the study of other host-associated microbiota and other host characteristics are still in their infancy.
Identifiants
pubmed: 35675291
doi: 10.1080/03079457.2022.2086447
doi:
Substances chimiques
RNA, Ribosomal, 16S
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM