Advances in Pig Genomic Resources
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: 20 September 2024 | Viewed by 49
Special Issue Editor
Special Issue Information
Dear Colleagues,
Humans have kept pigs for a long history, and their domestication processes in different parts of the world, such as Asia and Europe, have shown different tissue-specific genetic selections. At present, the main work of pig breeding across the world is to improve the meat production performance of a few representative lean pig breeds, such as Duroc, Landrace, and Large White.
Genomic breeding is currently the most advanced pig breeding technology. Major advances in genomics have opened an exciting new era, allowing us a deep understanding of the pig genome and helping us to carry out efficient breeding. The entire pig genome contains approximately 3 billion bp. In-depth exploration of genomic resources and functional annotation has revealed genomic variations related to important economic traits and the adaptive evolution of pigs. Genetic markers have also significantly improved the identification and selection process of some key phenotypes, such as body structure, meat quality, disease resistance, reproductive performance, and other functional traits.
In the pig genome mapping project, a large amount of resequencing and transcriptome data were generated, defining promoters, enhancers, regulatory elements, open chromatin regions, and three-dimensional genome maps. This Special Issue aims to introduce recent advances in the field of porcine genetics and genomics, utilizing the latest technologies, including next-generation sequencing, genome-wide association studies, RNA-seq, ATAC-seq, ChIP-seq, DNA microarrays, ultra-long DNA sequencing, and other advanced sequencing methods. This will enable the identification of gene candidates and mutations in the pig genome, transcriptome, and epigenome, leading to an understanding of the genetics underlying well-bred pigs and providing a scientific basis for developing a high-quality pig breeding industry.
We invite you to contribute original research articles or reviews to this Special Issue. Research areas may include, but are not limited to, the following: identification of pig growth traits and pathogenic gene loci; epigenetic modifications; gene expression variations; and functional annotation of non-coding regions. Methodology papers are also welcome.
Dr. Ruimin Qiao
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- pig genome sequencing
- genomics databases and resources
- GWAS
- genomic breeding
- body composition traits
- candidate genes
