Transcriptomics in Livestock: Unveiling Genetic Insights for Enhanced Productivity and Health
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 947
Special Issue Editors
Interests: quantitative genetics; functional genomics; system biology, bioinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: immunogenomics; transcriptomics
Special Issue Information
Dear Colleagues,
Transcriptomics, the study of RNA transcripts, has revolutionized our understanding of genetic expression in livestock. By mapping out the complex web of gene activity, researchers can identify key genetic factors that influence productivity and health in farm animals. This field is crucial as it provides insights into improving livestock traits such as growth rates, disease resistance, and overall well-being, which are essential for sustainable agriculture and food security. The following Special Issue aims to bring together cutting-edge research and comprehensive reviews that advance our understanding of transcriptomics in livestock. The focus is on uncovering genetic insights that can be directly applied to enhance productivity and health in various livestock species. By providing a platform for the latest findings, we hope to foster collaborations and drive innovations in livestock genomics. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Gene expression profiling in different livestock species;
- The identification of biomarkers for disease resistance and health;
- Transcriptomic responses to environmental stressors;
- Comparative transcriptomics across breeds;
- Functional genomics and gene regulation;
- The integration of transcriptomics with other 'omics' technologies;
- The applications of transcriptomics in breeding programs.
We look forward to receiving your contributions.
Dr. Jun-Mo Kim
Dr. Byeonghwi Lim
Dr. Seung-Hoon Lee
Guest Editors
Manuscript Submission Information
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Keywords
- transcriptomics
- RNA-seq
- gene expression
- functional genomics
- gene regulation
- genomic technologies
- livestock
- health
- productivity
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