Manuscript Topics

With the rapid development of high-throughput omics technologies (genomics, phenomics, transcriptomics, proteomics, metabolomics, microbiomics, etc.) and advanced genetic analysis methods, systematic and integrative data are driving a deeper understanding of complex traits, developmental mechanisms, environmental adaptation, and production performance in the field of animal science. Integrating multi-layer omics data with genetic backgrounds not only enhances trait prediction, breeding selection, and disease mechanism analysis, but also provides new strategies for precision animal breeding, nutrition optimization, and health management.
Although a large number of single-omics studies have been conducted, cross-omics integration, longitudinal spatiotemporal dynamic genetic analysis, and biological mechanism interpretation remain core challenges in current research. To promote the wide application and theoretical breakthroughs of omics and genetic analysis methods in animal science, this special issue aims to gather high-quality of innovative research, to collectively explore the genetic regulation of complex traits, biomarker discovery, and optimization of animal production performance.
This special issue is open to researchers worldwide in the fields of animal science, genetic breeding, systems biology, and omics data analysis, soliciting original research articles, reviews, methodological papers, and cutting-edge perspectives.

Scope

This special issue welcomes manuscripts on the following topics (but not limited to):

1. Multi-omics Data Integration and Genetic Analysis
- Genome-wide association studies (GWAS), pangenome-based association studies, and omics association strategies  
- Construction of omics co-function networks, pangenome frameworks, and genetic mechanism elucidation  
- Phenome and genome association studies  
- Construction of omics co-function networks and genetic mechanism elucidation
2. Longitudinal Traits and High-dimensional Omics
- Time-series omics analysis of growth and developmental trajectories  
- Multi-layer omics and dynamic trait genetic modeling  
- Systematic analysis of phenotype/environment and gene interactions
3. Applications of Multi-omics in Breeding and Production
- Marker-assisted selection (MAS) and genomic selection (GS)  
- Omics-driven trait prediction and production performance optimization  
- Application of nutritional and metabolomics approaches in feeding management
4. Gut Microbiome and Host Genetic Interactions
- Combined influence of microbiome and host genome on production or health traits  
- Microbial functional omics and mechanisms of animal health regulation  
- Genetic basis of host–microbe interactions under feed/environmental influences
5. New Technologies and Methodological Innovations
- Methods for multi-omics data integration, machine learning, and AI applications  
- Application of multivariate mixed models, Bayesian frameworks, and deep learning in genetic studies  
- High-dimensional data dimensionality reduction, integration, and visualization techniques  
- Graph-based genome representations and pangenome-enabled multi-omics integration methods

Instructions for authors
https://www.aimspress.com/aas/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/