Several omics tools have been developed in the last decades to analyse high-throughput data on genes (genomics and epigenomics), microbial diversity (metagenomics), mRNA transcripts (transcriptomics), proteins (proteomics), metabolic profile (metabolomics), and more recently, on phenotypes (phenomics). Multi-omics has also emerged as an integration of multiple omics layers to offer a synthetic vision of the complexity of biological systems on a system biology approach.
In the coming decades, the livestock sector has to face the challenge of producing a greater quantity of food necessary to feed a growing number of people, ensuring animal health and welfare and meets consumers’ expectations. Improving resilience in livestock species has several positive implications in ameliorating animal health and welfare, farm productivity and reduction of environmental impacts of the sector, with specific attention to antibiotic usage. The application of omics tools for improving robustness and resilience in livestock species is becoming a hot spot of research, contributing to their selection and breeding for sustainable improvement in productivity and profitability.
The Research Topic aims to enhance advanced findings in the field of omics technologies used in livestock research to identify biomarkers linked to the ability of animals to cope with metabolic, environmental, and management stress. Mini-reviews, full-length reviews, and original research papers in the following subtopics are welcome:
- SNP markers for livestock distress susceptibility
- Epigenomic biomarkers for livestock distress
- Link between microbial community and livestock homeostasis
- Gene expression in animal health and welfare issues
- Proteomic and metabolomics data to identify metabolic changes in livestock species
- Application of high-throughput phenotyping tools (e.g. infrared spectroscopy) to identify early biomarkers of animal robustness and resilience
Several omics tools have been developed in the last decades to analyse high-throughput data on genes (genomics and epigenomics), microbial diversity (metagenomics), mRNA transcripts (transcriptomics), proteins (proteomics), metabolic profile (metabolomics), and more recently, on phenotypes (phenomics). Multi-omics has also emerged as an integration of multiple omics layers to offer a synthetic vision of the complexity of biological systems on a system biology approach.
In the coming decades, the livestock sector has to face the challenge of producing a greater quantity of food necessary to feed a growing number of people, ensuring animal health and welfare and meets consumers’ expectations. Improving resilience in livestock species has several positive implications in ameliorating animal health and welfare, farm productivity and reduction of environmental impacts of the sector, with specific attention to antibiotic usage. The application of omics tools for improving robustness and resilience in livestock species is becoming a hot spot of research, contributing to their selection and breeding for sustainable improvement in productivity and profitability.
The Research Topic aims to enhance advanced findings in the field of omics technologies used in livestock research to identify biomarkers linked to the ability of animals to cope with metabolic, environmental, and management stress. Mini-reviews, full-length reviews, and original research papers in the following subtopics are welcome:
- SNP markers for livestock distress susceptibility
- Epigenomic biomarkers for livestock distress
- Link between microbial community and livestock homeostasis
- Gene expression in animal health and welfare issues
- Proteomic and metabolomics data to identify metabolic changes in livestock species
- Application of high-throughput phenotyping tools (e.g. infrared spectroscopy) to identify early biomarkers of animal robustness and resilience