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Agriculture
Special Issues
Molecular Markers in Farm Animal Breeding and Genome Analysis
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Molecular Markers in Farm Animal Breeding and Genome Analysis

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Farm Animal Production".

Deadline for manuscript submissions: closed (5 October 2023) | Viewed by 3262

Special Issue Editors

Dr. Lyubov Vladimirovna Getmantseva

E-Mail Website
Guest Editor
Centre for Strategic Planning and Management of Biomedical Health Risks, Moscow 119435, Russia
Interests: population genomics; breeding; farm animals
Dr. Olga Vasilievna Kostyunina

E-Mail Website
Guest Editor
L.K. Ernst Federal Research Center for Animal Husbandry, 142132 Dubrovicy, Russia
Interests: pig; cattle; QTL; GWAS; biodiversity
Dr. Siroj Yusufovich Bakoev

E-Mail Website
Guest Editor
Centre for Strategic Planning and Management of Biomedical Health Risks, Moscow 119435, Russia
Interests: data analysis; mathematical statistics; biological systems; genetics; population genomics; agricultural animals; biotechnology

Special Issue Information

Dear Colleagues,

Farm animals play a fundamental role in food production. All over the world, the livestock industry is developing very dynamically. In developing countries, the rapidly increasing demand for livestock products is driving development, while in developed countries, many production systems are improving their efficiency and environmental sustainability. People select animals with desirable traits to achieve their goals, and understanding how this selection creates genetic variation among populations and how genetic variation is linked to phenotypic variation in traits is essential to the effective development of animal production. Genetic technologies must become an important element in the breeding of farm animals. The aim of the forthcoming issue of the journal Agriculture is to discuss the most important topics related to various genomic markers: evaluation and maintenance of genetic diversity in farm animals; genetic architecture of breeding traits, including health and behavior; efficiency of genomic selection methods; study of candidate gene associations; identification of LoF mutations and genetic defects in farm animals; development and testing of new methods for evaluation of breeding value of animals. We cordially invite you to submit relevant articles to this Special Issue and hope that your valuable contributions will enrich the current level of knowledge.

Dr. Lyubov Vladimirovna Getmantseva
Dr. Olga Vasilievna Kostyunina
Dr. Siroj Yusufovich Bakoev
Guest Editors

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. Agriculture 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

  • farm animal
  • genome
  • SNP
  • CNV
  • ROH
  • candidate gene
  • selection

Published Papers (2 papers)

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Research

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13 pages, 938 KiB  
Article
DIO1 Gene Polymorphism Is Associated with Thyroid Profiles and Reproductive Performance in Dairy Cows
by Olga V. Kostyunina, Olga S. Mityashova, Nikolay V. Bardukov, Olga V. Aleynikova and Irina Y. Lebedeva
Agriculture 2023, 13(2), 398; https://doi.org/10.3390/agriculture13020398 - 08 Feb 2023
Viewed by 1226
Abstract
Thyroid hormones mediate the interaction between the metabolic and reproductive systems, while their metabolism is controlled by different deiodinases. The present study aimed to search for associations of cow genotypes with SNPs in the deiodinase type 1 gene (DIO1) with thyroid [...] Read more.
Thyroid hormones mediate the interaction between the metabolic and reproductive systems, while their metabolism is controlled by different deiodinases. The present study aimed to search for associations of cow genotypes with SNPs in the deiodinase type 1 gene (DIO1) with thyroid profiles and reproductive traits. The blood was sampled from Russian black-and-white cows 2–6 weeks before calving and 1–13 weeks after calving to measure the hormonal levels by ELISA. RT-PCR analysis was performed for known mutations in the bovine DIO1 gene, and a polymorphism at position 13,149 was found. In animals with the CG genotype, the blood concentration of reverse triiodothyronine 6 weeks prepartum was higher and decreased much earlier than in animals with the CC genotype. Furthermore, 1 week after calving, the total triiodothyronine to reverse triiodothyronine ratio in cows with the CG genotype was higher than in cows with the CC genotype. A higher proportion of animals with better values of fertility traits was revealed in the CC group compared to the CG group. Thus, cows with the CC genotype of the DIO1 gene more often have a high reproductive ability, which may be associated with the rT3 profile features during the prepartum and early postpartum periods. Full article
(This article belongs to the Special Issue Molecular Markers in Farm Animal Breeding and Genome Analysis)
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Review

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18 pages, 1273 KiB  
Review
Overview of SNPs Associated with Trans Fat Content in Cow’s Milk
by Olga Bykova, Oleg Shevkunov and Olga Kostyunina
Agriculture 2023, 13(6), 1151; https://doi.org/10.3390/agriculture13061151 - 30 May 2023
Cited by 1 | Viewed by 1466
Abstract
Lipids consumed with milk derivatives are one of the main parts of the human diet. Trans fatty acids in milk are causing a debate about their impact on the incidence of cardiovascular disease, pathological abnormalities, and cancer. The fatty acid profile of milk [...] Read more.
Lipids consumed with milk derivatives are one of the main parts of the human diet. Trans fatty acids in milk are causing a debate about their impact on the incidence of cardiovascular disease, pathological abnormalities, and cancer. The fatty acid profile of milk is influenced by a large number of different factors, one of which is genetic. The development of genetic studies, including Genome-Wide Association Studies (GWAS), may help define genomic regions associated with fatty acid content in milk, including trans fatty acids. This article provides an overview of international studies on the identification of genomic regions and SNPs associated with the trans fatty acids in cow’s milk. The results are based on research of cattle such as Norwegian Red cattle, Holstein, Jersey, and Brown Swiss. The presented review shows that 68 SNPs were localized on chromosomes 1, 2, 4–6, 8–10, 12, 14–20, 22–25, and 27–29. Further research in this direction will provide new information that will serve as an impetus for the creation of modern breeding technologies and increase the performance of the manufacture of high-quality dairy products. The search for genetic markers associated with the content of TFA in milk is a promising direction in agricultural science and will allow more complete breeding work with cattle. Full article
(This article belongs to the Special Issue Molecular Markers in Farm Animal Breeding and Genome Analysis)
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