Advances and Trends in Gene Expression, Regulation, and Phenotypic Variation in Livestock Science: A Comprehensive Review of Methods and Technologies

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About this Research Topic

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Background

The introduction of next-generation sequencing (NGS) as well as long-read sequencing technologies has revolutionized the landscape. Over two decades, these technologies have provided high-throughput delivery of genomic data that is more affordable, efficient, and accurate. This progression has facilitated the generation of gigabases (Gb) of genomic data, significantly advancing investigations in animal breeding and functional genomics within livestock science. These advancements have also enabled progress in bioinformatics and data analysis, contributing to a better understanding of mechanisms underlying biological and regulation processes related to animal diseases, phenotypic variation, and animal breeding programs.

This Research Topic aims to collect recent advanced methods, technologies, and studies in functional genomics and animal breeding within the context of livestock science. The goal is to provide a reliable source for a better understanding of the recent genomic technologies, enhancing knowledge in gene regulation, epigenetics, 3D genome architecture, and phenotype variation related to the production, nutrition, reproduction, health, and environmental adaptation of livestock animals. Further, it aims to contribute to genome data analysis, shed light on recent protocols and technologies, discuss therapeutic strategies, improve of livestock management practices, and provide updates on current genetics and genomics in field of livestock sciences.

We welcome Original Research Articles, Reviews, Mini Reviews, Systematic Reviews, Perspectives, Commentaries, Data notes, and technical notes, but are not limited to the following:

1. Molecular Biology Technologies and Protocols: High-throughput and Molecular Biology Technologies, such as PacBio, Oxford Nanopore Sequencing, Single-cells Sequencing, MPRA-assays, and CRISPR assays.

2. Computational Genomics and Bioinformatics: Data analysis and Databases, such as Algorithms and Pipelines, Protocols, Artificial Intelligence and Machine Learning, Workflow, and Genome Databases.

3. Functional Genomics and System Biology: Exploring "omics" (e.g., genomics, transcriptomics, proteomics), genome CRISPR screening, Multi-omics, Data Integration, and System Biology.

4. Animal Health and the Immune System: Functional Genomics of Infection Diseases, and Advances and Strategies in Animal Treatments.

5. Epigenetics, Gene Regulation, and 3D Genome Architecture: Exploring Genome Chromatin Interactions, Methylation and Animal Aging, Gene Expression, RNA-chromatin Interactions, Regulatory Elements (e.g., Non-coding RNAs, Transcription Factors, Mobile Elements Genes, Transposons) and Functional and Regulatory Variants.

6. Association Data Analysis and Traits Variation: Approaches and Methods to Identify and Evaluate Variants, Biomarkers, and Genomic Regions Associated with Phenotypes (e.g., GWAS, Genome-wide);

7. Environment, Microenvironment Changes in Livestock: Exploring Nutrigenomics, Metabolomics, and Microbiomics related to Climate Changes and Animal Adaptation.

8. Management Strategies, Animal Production, and Animal Reproduction: Exploring Genomics related to Carcass, Quality, Production, and Reproduction Traits.

Research Topic Research topic image

Keywords: Genetic Variants, Epigenetics, GWAS, Omics, Genomics technologies

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