An overview of recent technological developments in bovine genomics

Veterinary and Animal Science, Journal Year: 2024, Volume and Issue: 25, P. 100382 - 100382

Published: July 23, 2024

Cattle are regarded as highly valuable animals because of their milk, beef, dung, fur, and ability to draft. The scientific community has tried a number strategies improve the genetic makeup bovine germplasm. To ensure higher returns for dairy beef industries, researchers face greatest challenge in improving commercially important traits. One biggest developments last few decades creation instruments cattle improvement is discovery genome. Breeding livestock being revolutionized by genomic selection made possible availability medium- high-density single nucleotide polymorphism (SNP) arrays coupled with sophisticated statistical techniques. It becoming easier access high-dimensional data cattle. Continuously declining genotyping costs an increase services that use return on investment have both significant contribution this. field genomics come long way thanks groundbreaking discoveries such radiation-hybrid mapping, situ hybridization, synteny analysis, somatic cell genetics, cytogenetic maps, molecular markers, association studies quantitative trait loci, high-throughput SNP genotyping, whole-genome shotgun sequencing genome editing. These advancements had positive impact genomics. This manuscript aimed review recent advances technologies breeding future prospects this field.

Language: Английский

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Application of GWAS and mGWAS in Livestock and Poultry Breeding

Animals, Journal Year: 2024, Volume and Issue: 14(16), P. 2382 - 2382

Published: Aug. 16, 2024

In recent years, genome-wide association studies (GWAS) and metabolome (mGWAS) have emerged as crucial methods for investigating complex traits in animals plants. These played pivotal roles research on livestock poultry breeding, facilitating a deeper understanding of genetic diversity, the relationship between genes, bases poultry. This article provides review applications GWAS mGWAS animal aiming to offer reference inspiration relevant researchers, promote innovation improvement breeding methods, contribute sustainable development husbandry.

Language: Английский

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A review of the role of epigenetic studies for intramuscular fat deposition in beef cattle

Gene, Journal Year: 2024, Volume and Issue: 908, P. 148295 - 148295

Published: Feb. 21, 2024

Language: Английский

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Revealing study and breeding implications for production traits and tail characteristics in Simmental cattle by GWAS

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 31, 2025

Simmental cattle are renowned for their dual purpose as meat and dairy breeds. The study recorded phenotype data from 183 performed a Genome-Wide Association Study (GWAS) analysis to elucidate the genetic mechanisms underlying milk production, body size traits, tail characteristics. Statistical of showed that season, parity, age at first calving (AFC) factors had significant effect on production (P < 0.05). results GWAS linear traits revealed candidate genes SH3RF2, DCHS2, ADAMTS1, CAMK4, PPARGC1A, PRL, PRP6, CORIN have been found affect circumference (BC) cannon (CC). Through including Circumference over root (COTR) Tail Length (TL) in cattle, associated with length, such KIF26B, ITPR2, SLC8A1, SLIT3 were identified. Interestingly, IL1RAP, AQP9, PKD2 also metabolic inflammation tails. These markers offer valuable insights into facilitating development molecular breeding strategies enhance value provide references programs.

Language: Английский

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Genome-Wide Association Integrating a Transcriptomic Meta-Analysis Suggests That Genes Related to Fat Deposition and Muscle Development Are Closely Associated with Growth in Huaxi Cattle

Veterinary Sciences, Journal Year: 2025, Volume and Issue: 12(2), P. 109 - 109

Published: Feb. 2, 2025

Growth traits are among the most important economic phenotypes targeted in genetic improvement of beef cattle. To understand basis growth Huaxi cattle, we performed a genome-wide association study (GWAS) on body weight, eye muscle area, and back fat thickness across five developmental stages population 202 Additionally, publicly available RNA-seq data from longissimus dorsi both young adult cattle were analyzed to identify key genes markers associated with In total, 7.19 million high-quality variant loci (SNPs INDELs) identified all samples. GWAS, three multilocus models (FarmCPU, MLMM, BLINK) outperformed conventional single-locus (CMLM, GLM, MLM). Consequently, GWAS analysis was conducted using models, which 99 significantly annotated total 83 candidate (CDGs). 23 CDGs overlapped differentially expressed public datasets between Furthermore, gene functional enrichment (KEGG GO) analyses revealed that over 30% pathways GO terms development deposition, crucial factors for production. Specifically, included MGLL, SGMS1, SNX29 AKAP6, implicated lipid metabolism, adipogenesis, growth. summary, this provides new insights into mechanisms underlying presents promising future breeding improvements.

Language: Английский

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Identifying the specific lipid biomarkers and LYPLA1 as a novel candidate in intramuscular fat deposition of Erhualian pigs

BMC Genomics, Journal Year: 2025, Volume and Issue: 26(1)

Published: April 25, 2025

Language: Английский

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From genes to phenotypes: A review of multilevel omics techniques in beef quality

Gene, Journal Year: 2025, Volume and Issue: unknown, P. 149416 - 149416

Published: April 1, 2025

Language: Английский

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Genome-wide association studies for milk production traits and persistency of first calving Holstein cattle in Türkiye

Frontiers in Veterinary Science, Journal Year: 2024, Volume and Issue: 11

Published: Oct. 24, 2024

The study presents a comprehensive investigation into the genetic determinants of 100-day milk yield (100DMY), 305-day (305DMY), total (TMY), and persistency using first lactation records 374 Holstein heifers reared in private farm at Çanakkale province Türkiye, employing genome-wide association (GWAS) approach. research underscores substantial component underlying these economically important traits through detailed descriptive statistics heritability estimations. estimated moderate to high heritabilities (0.32-0.54) for production suggest feasibility targeted improvement strategies. By leveraging GWAS, identifies many significant suggestively single nucleotide polymorphisms (SNP) associated with studied traits. Noteworthy genes have identified this analysis include BCAS3, MALRD1, CTNND2, DOCK1, TMEM132C, NRP1, CNTNAP2, GPRIN2, PLEKHA5, GLRA1, SCN7A, HHEX, KTM2C, RAB40C, RAB11FIP3, FXYD6. These findings provide valuable understandings background cattle, shedding light on specific genomic regions candidate playing pivotal roles This contributes knowledge field dairy cattle genetics informs future breeding efforts improve sustainability efficiency populations.

Language: Английский

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A review of emerging technologies, nutritional practices, and management strategies to improve intramuscular fat composition in beef cattle

Animal Biotechnology, Journal Year: 2024, Volume and Issue: 35(1)

Published: Aug. 12, 2024

The flavour, tenderness and juiciness of the beef are all impacted by composition intramuscular fat (IMF), which is a key determinant quality. Thus, enhancing IMF cattle has become major area research. Consequently, aim this paper was to provide insight synthesis into emerging technologies, nutritional practices management strategies improve in cattle. This review examined current knowledge techniques approaches relevant farming industry. It includes thorough investigation animal handling, weaning age, castration, breed selection, sex determination, environmental factors, grazing methods, slaughter weight age. Additionally, it rigorously explored dietary energy levels optimization fatty acid profiles, as well use feed additives hormone implant with their associated regulations. also delved technologies that shaping future production, such genomic selection genome editing techniques, epigenomic analyses, microbiome manipulation strategies, transcriptomic profiling metabolomics analyses. In conclusion, holistic approach combining genomic, imperative for achieving targeted content ensuring high-quality production.

Language: Английский

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Genome-wide association analyses using multilocus models on bananas (Musa spp.) reveal candidate genes related to morphology, fruit quality, and yield

G3 Genes Genomes Genetics, Journal Year: 2024, Volume and Issue: 14(8)

Published: May 22, 2024

Abstract Bananas (Musa spp.) are an essential fruit worldwide and rank as the fourth most significant food crop for addressing malnutrition due to their rich nutrients starch content. The potential of genetic diversity remains untapped limited molecular breeding tools. Our study examined a phenotypically diverse group 124 accessions from Colombian Musaceae Collection conserved in AGROSAVIA. We assessed 12 traits categorized into morphology, quality, yield, alongside sequence data. sequencing efforts provided valuable insights, with average depth about 7× per accession, resulting 187,133 single-nucleotide polymorphisms (SNPs) against Musa acuminata (A genome) 220,451 balbisiana (B genome). Population structure analysis grouped samples four five clusters based on reference genome. By using different association models, we identified marker–trait associations (MTAs). mixed linear model revealed MTAs, while Bayesian-information linkage-disequilibrium iteratively nested keyway fixed random circulating probability unification models 82 70 respectively. 38 40 candidate genes linkage proximity MTAs A genome B genome, findings provide insights underpinnings yield. Once validated, SNP markers can potentially drive advancements genomic-guided strategies enhance banana improvement.

Language: Английский

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