Genetics and Breeding of Cattle Volume II

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Animal Genetics and Genomics".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 334

Special Issue Editor

College of Animal Science and Technology, China Agricultural University, Beijing, China
Interests: dairy cattle; genetics; molecular breeding; genomic selection; functional genomics; epigenetics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Thus far, many genes/QTLs/SNPs for the production, reproduction, immunity, disease resistance and heat tolerance of cattle have been identified based on the strategies of QTL mapping, candidate gene analysis, genome-wide association study and next-generation sequencing. These abundant data have provided unprecedented opportunities to systematically elucidate the biological mechanisms of important multi-level economic traits in cattle. Meanwhile, integrating omics data and genomic evaluation methods can improve the accuracy of cattle genomic prediction. However, there is a major challenge not only in systematically analyzing these data and formulating new hypotheses but also effectively utilizing them for genetic improvement of cattle. In addition, because the genetic basis of quantitative traits is complex, there are few verified major genes of target traits. Therefore, it is very important to systematically and deeply explore the functional genes and mutations with important breeding value through new strategies and technologies.

This Special Issue aims to collect high-quality original research articles, mini-reviews and full-length reviews to address emerging challenges, focusing on the topic of “Genetics and Breeding of Cattle”. Our topic welcomes, but is not necessarily limited to, progress in the knowledge of the aforementioned issues. Contributions by experts in the field in the form of research papers and critical reviews are called for.

Dr. Bo Han
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

  • cattle
  • genetics
  • omics data
  • genomic selection
  • population genetics
  • epigenetics
  • regulatory mechanism

Published Papers (1 paper)

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Research

9 pages, 876 KiB  
Article
PC Gene Affects Milk Production Traits in Dairy Cattle
by Aixia Du, Zijiao Guo, Ao Chen, Lingna Xu, Dongxiao Sun and Bo Han
Genes 2024, 15(6), 708; https://doi.org/10.3390/genes15060708 - 29 May 2024
Viewed by 182
Abstract
In previous work, we found that PC was differentially expressed in cows at different lactation stages. Thus, we deemed that PC may be a candidate gene affecting milk production traits in dairy cattle. In this study, we found the polymorphisms of PC by [...] Read more.
In previous work, we found that PC was differentially expressed in cows at different lactation stages. Thus, we deemed that PC may be a candidate gene affecting milk production traits in dairy cattle. In this study, we found the polymorphisms of PC by resequencing and verified their genetic associations with milk production traits by using an animal model in a cattle population. In total, we detected six single-nucleotide polymorphisms (SNPs) in PC. The single marker association analysis showed that all SNPs were significantly associated with the five milk production traits (p < 0.05). Additionally, we predicted that allele G of 29:g.44965658 in the 5′ regulatory region created binding sites for TF GATA1 and verified that this allele inhibited the transcriptional activity of PC by the dual-luciferase reporter assay. In conclusion, we proved that PC had a prominent genetic effect on milk production traits, and six SNPs with prominent genetic effects could be used as markers for genomic selection (GS) in dairy cattle, which is beneficial for accelerating the improvement in milk yield and quality in Chinese Holstein cows. Full article
(This article belongs to the Special Issue Genetics and Breeding of Cattle Volume II)
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