ArticleJournal of animal science and biotechnology2023
Candidate genes for mastitis resistance in dairy cattle: a data integration approach.
Article in Journal of animal science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 24 citations in OpenAlex.
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- Transcriptome-derived variants in milk reveal host response signatures to subclinical intramammary infection in Holstein cattle.Journal of animal science and biotechnology · 2026Article
- SNPs with High Linkage Disequilibrium Increase the Explained Genetic Variance and the Reliability of Genomic Predictions.Animals : an open access journal from MDPI · 2026Article
- Multimodal animal health monitoring in extensive livestock production systems.Frontiers in veterinary science · 2026Review
- Article
- Single-step genome-wide association study of milk somatic cell scores across multi-cattle breeds in Ethiopia.Animal biotechnology · 2025Article
- Application of multi-omics technology in pathogen identification and resistance gene screening of sheep pneumonia.BMC genomics · 2025Article
- Recent Trends in Food Quality and Authentication: The Role of Omics Technologies in Dairy and Meat Production.International journal of molecular sciences · 2025Review
- DCMS analysis revealed differential selection signatures in the transboundary Sahiwal cattle for major economic traits.Scientific reports · 2025Article
- Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025Review
- Cytokine interactions and chemokine dysregulations in mastitis immunopathogenesis: insights from transcriptomic profiling of milk somatic cells in tropical Sahiwal (Frontiers in immunology · 2025Article
- Expression of mastitis causing fibrinogen binding protein of gram positive bacteria in genetically engineered switchgrass and antibodies production in mice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024Article
- Genome-Wide Association Study for Milk Somatic Cell Score in Holstein Friesian Cows in Slovenia.Animals : an open access journal from MDPI · 2024Article
- Genes and pathways revealed by whole transcriptome analysis of milk derived bovine mammary epithelial cells after Escherichia coli challenge.Veterinary research · 2024Article
- Genomic Characterization and Initial Insight into Mastitis-Associated SNP Profiles of Local LatvianAnimals : an open access journal from MDPI · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundInflammation of the mammary tissue (mastitis) is one of the most detrimental health conditions in dairy ruminants and is considered the most economically important infectious disease of the dairy sector. Improving mastitis resistance is becoming an important goal in dairy ruminant breeding programmes. However, mastitis resistance is a complex trait and identification of mastitis-associated alleles in livestock is difficult. Currently, the only applicable approach to identify candidate loci for complex traits in large farm animals is to combine different information that supports the functionality of the identified genomic regions with respect to a complex trait.
methodsTo identify the most promising candidate loci for mastitis resistance we integrated heterogeneous data from multiple sources and compiled the information into a comprehensive database of mastitis-associated candidate loci. Mastitis-associated candidate genes reported in association, expression, and mouse model studies were collected by searching the relevant literature and databases. The collected data were integrated into a single database, screened for overlaps, and used for gene set enrichment analysis.
resultsThe database contains candidate genes from association and expression studies and relevant transgenic mouse models. The 2448 collected candidate loci are evenly distributed across bovine chromosomes. Data integration and analysis revealed overlaps between different studies and/or with mastitis-associated QTL, revealing promising candidate genes for mastitis resistance.
conclusionMastitis resistance is a complex trait influenced by numerous alleles. Based on the number of independent studies, we were able to prioritise candidate genes and propose a list of the 22 most promising. To our knowledge this is the most comprehensive database of mastitis associated candidate genes and could be helpful in selecting genes for functional validation studies.
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