About this Research Topic
In the livestock production system, comprehending animal physiology is the key challenge to meet consumer demands. Physiological processes are dependent on coordinated gene expression. Apart from the environmental factors, the genes are also regulated by non-coding RNAs, variants, cis- or distal regulatory elements (transcription factors, enhancers, silencers), histone modifications, and DNA methylation. Advancement in high-throughput technologies and the reduction in cost have enabled multi-omics studies to be performed in a large scale. Although they provide a comprehensive survey for a phenotype, the crosstalk between multiple molecular layers cannot be assessed by a reductionist approach. Therefore, a systems biology approach integrates data from different omics levels to find the combined influences, thereby providing a systematic view of the regulatory mechanisms underlying complex traits. This approach proves to be beneficial for production systems (e.g. optimize animal nutrition, meat quality, or animal management) by selecting the desirable animals and integrating accurate breeding programs or innovative management systems.
The genome-wide analysis of genes, proteins, metabolites, and non-coding RNA provides a deeper insight into the mechanisms governing physiological functions regulating important economic traits in livestock. However, the integration of the data generated from multiple omics studies and its usage for optimization of the livestock production system and prediction of the behavior of biological systems is a key challenge. A holistic approach combining statistics, bioinformatics, and mathematical modeling to integrate and analyze large amounts of data generated is the main area of concern that will shed light on mechanisms regulating the economically important traits in livestock. The progress made with systems biology approaches to elucidate the gene expression/regulation in animal science will provide exciting opportunities to predict and modulate animal traits by holistic improvement of production performance, disease resistance, and welfare.
This Research Topic focuses on gene regulation mechanisms underlying a trait of interest (i.e., production, reproduction, health, or any other relevant traits in livestock) elucidated from multi-omics and systems biology approaches as the core methodology. We welcome Original Research papers and Reviews, Mini Reviews, and Brief Research Reports relevant to livestock, covering (but not limited to) integrative genomics and systems biology approaches identifying gene regulatory networks in livestock.
Topic Editor Priyanka Banerjee holds patents related to the Research Topic subject. All other Topic Editors declare no competing interests.
The genome-wide analysis of genes, proteins, metabolites, and non-coding RNA provides a deeper insight into the mechanisms governing physiological functions regulating important economic traits in livestock. However, the integration of the data generated from multiple omics studies and its usage for optimization of the livestock production system and prediction of the behavior of biological systems is a key challenge. A holistic approach combining statistics, bioinformatics, and mathematical modeling to integrate and analyze large amounts of data generated is the main area of concern that will shed light on mechanisms regulating the economically important traits in livestock. The progress made with systems biology approaches to elucidate the gene expression/regulation in animal science will provide exciting opportunities to predict and modulate animal traits by holistic improvement of production performance, disease resistance, and welfare.
This Research Topic focuses on gene regulation mechanisms underlying a trait of interest (i.e., production, reproduction, health, or any other relevant traits in livestock) elucidated from multi-omics and systems biology approaches as the core methodology. We welcome Original Research papers and Reviews, Mini Reviews, and Brief Research Reports relevant to livestock, covering (but not limited to) integrative genomics and systems biology approaches identifying gene regulatory networks in livestock.
Topic Editor Priyanka Banerjee holds patents related to the Research Topic subject. All other Topic Editors declare no competing interests.
Keywords: Multi-Omics, Networks, Regulatory elements, Non-coding RNAs, Gene expression
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