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Omics technologies in poultry health and productivity - part 1 : current use in poultry research

(2022) AVIAN PATHOLOGY. 51(5). p.407-417
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Abstract
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.
Keywords
General Immunology and Microbiology, Animal Science and Zoology, Food Animals, Genomics, transcriptomics, proteomics, metabolomics, 16s rRNA gene sequencing, metagenomics, multiple omics, integrated multiomics, CHICKEN GASTROINTESTINAL-TRACT, MICROBIOTA, RNA, GUT, INTEGRATION, RESISTANCE, GENOMICS, LEPTIN

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MLA
Dehau, Tessa, et al. “Omics Technologies in Poultry Health and Productivity - Part 1 : Current Use in Poultry Research.” AVIAN PATHOLOGY, vol. 51, no. 5, 2022, pp. 407–17, doi:10.1080/03079457.2022.2086447.
APA
Dehau, T., Ducatelle, R., Van Immerseel, F., & Goossens, E. (2022). Omics technologies in poultry health and productivity - part 1 : current use in poultry research. AVIAN PATHOLOGY, 51(5), 407–417. https://doi.org/10.1080/03079457.2022.2086447
Chicago author-date
Dehau, Tessa, Richard Ducatelle, Filip Van Immerseel, and Evy Goossens. 2022. “Omics Technologies in Poultry Health and Productivity - Part 1 : Current Use in Poultry Research.” AVIAN PATHOLOGY 51 (5): 407–17. https://doi.org/10.1080/03079457.2022.2086447.
Chicago author-date (all authors)
Dehau, Tessa, Richard Ducatelle, Filip Van Immerseel, and Evy Goossens. 2022. “Omics Technologies in Poultry Health and Productivity - Part 1 : Current Use in Poultry Research.” AVIAN PATHOLOGY 51 (5): 407–417. doi:10.1080/03079457.2022.2086447.
Vancouver
1.
Dehau T, Ducatelle R, Van Immerseel F, Goossens E. Omics technologies in poultry health and productivity - part 1 : current use in poultry research. AVIAN PATHOLOGY. 2022;51(5):407–17.
IEEE
[1]
T. Dehau, R. Ducatelle, F. Van Immerseel, and E. Goossens, “Omics technologies in poultry health and productivity - part 1 : current use in poultry research,” AVIAN PATHOLOGY, vol. 51, no. 5, pp. 407–417, 2022.
@article{8759043,
  abstract     = {{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.}},
  author       = {{Dehau, Tessa and Ducatelle, Richard and Van Immerseel, Filip and Goossens, Evy}},
  issn         = {{0307-9457}},
  journal      = {{AVIAN PATHOLOGY}},
  keywords     = {{General Immunology and Microbiology,Animal Science and Zoology,Food Animals,Genomics,transcriptomics,proteomics,metabolomics,16s rRNA gene sequencing,metagenomics,multiple omics,integrated multiomics,CHICKEN GASTROINTESTINAL-TRACT,MICROBIOTA,RNA,GUT,INTEGRATION,RESISTANCE,GENOMICS,LEPTIN}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{407--417}},
  title        = {{Omics technologies in poultry health and productivity - part 1 : current use in poultry research}},
  url          = {{http://doi.org/10.1080/03079457.2022.2086447}},
  volume       = {{51}},
  year         = {{2022}},
}

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