About this Research Topic
Complex traits are influenced by many genetic and environmental factors, which are difficult for scientists to study and even more difficult to understand. Domestic animals provide unique resources for analyzing the genetic basis of complex traits. Multi-omics is a powerful technology to understand the interactions between genotype, the environment, and life in a concerted way and illustrate these complex traits and diseases. The omics field has been driven largely by the technological advances that have made cost-efficient, high-throughput analysis of biological molecules possible. Such omics data are derived from diverse biological sources and include metagenomics, genomics, transcriptomics, epigenomics, proteomics, metabolomics, and so on. The integration of omics data provides better understanding of how a genotype influences a complex phenotype, as well as the molecular mediators at the multiscale that regulate the underlying pathway mechanisms of complex traits in domestic animals.
The aim of this Research Topic is the integration of omics data obtained for different biological levels in order to analyze the underlying regulation mechanisms of complex traits in domestic animals, and the recent and novel research trends in complex traits. This Research Topic also aims to collate Original Research and Review articles from animal geneticists, biologists, bioinformaticians, and computational biologists on these research areas. Through this collection we seek to understand the mechanisms that underlie the altered relationship among different omics levels in complex traits and confirm this knowledge with genetically engineered organisms.
Areas to be covered in this Research Topic may include, but are not limited to:
• Integration of two or more omics data in complex traits
• Multi-omics of host and environment
• Integrating expression data from different animals
• Multiscale network construction
• Complex interactions of different biological level
• Relationship between complex traits and the microbiota composition of the host organism
• Comparative genetic mechanism of complex traits from different animals
• Identifying molecular signatures based on omics data
• Mapping genes for complex traits in domestic animals
• Identification of biomarkers and breeding targets based on omics analyses
• Wet lab confirmation of omics results
The aim of this Research Topic is the integration of omics data obtained for different biological levels in order to analyze the underlying regulation mechanisms of complex traits in domestic animals, and the recent and novel research trends in complex traits. This Research Topic also aims to collate Original Research and Review articles from animal geneticists, biologists, bioinformaticians, and computational biologists on these research areas. Through this collection we seek to understand the mechanisms that underlie the altered relationship among different omics levels in complex traits and confirm this knowledge with genetically engineered organisms.
Areas to be covered in this Research Topic may include, but are not limited to:
• Integration of two or more omics data in complex traits
• Multi-omics of host and environment
• Integrating expression data from different animals
• Multiscale network construction
• Complex interactions of different biological level
• Relationship between complex traits and the microbiota composition of the host organism
• Comparative genetic mechanism of complex traits from different animals
• Identifying molecular signatures based on omics data
• Mapping genes for complex traits in domestic animals
• Identification of biomarkers and breeding targets based on omics analyses
• Wet lab confirmation of omics results
Keywords: Multi-Omics Approaches, Complex Traits, Domestic Animals, Wet Lab, Synthetic Biology
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
