Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Animal Sciences (2)
- Biology (2)
- Immunology and Infectious Disease (2)
- Medicine and Health Sciences (2)
- Microbiology (2)
-
- Public Health (2)
- Beef Science (1)
- Biotechnology (1)
- Dairy Science (1)
- Food Science (1)
- Genetics (1)
- Genomics (1)
- Health and Medical Administration (1)
- Laboratory and Basic Science Research (1)
- Medical Sciences (1)
- Nutrition (1)
- Organisms (1)
- Pharmacology, Toxicology and Environmental Health (1)
- Research Methods in Life Sciences (1)
- Veterinary Medicine (1)
- Keyword
-
- 1.6 BIOLOGICAL SCIENCES (2)
- 3.3 HEALTH SCIENCES (2)
- Epidemiology (2)
- Infectious diseases (2)
- 1.7 OTHER NATURAL SCIENCES (1)
-
- 3. MEDICAL AND HEALTH SCIENCES (1)
- 3.4 HEALTH BIOTECHNOLOGY (1)
- Antibiotic resistance (1)
- Breeding | DNA microarrays | Animal genetics | Beef cattle | Dairy cattle (1)
- Environmental sciences (1)
- Evaluation criteria (1)
- Evaluation framework (1)
- Health policy and services (1)
- Integrated approaches to health (1)
- Interdisciplinary (1)
- L phenotype Group B (1)
- Microbiology (1)
- One Health (1)
- Parasitology (1)
- Performance monitoring (1)
- Public and environmental health (1)
- Streptococcal infections (1)
- Streptococci (1)
- Surveillance (1)
- Sustainability (1)
- Technologies involving identifying the functioning of DNA, (1)
- Zoology (1)
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Genetics and Genomics
Emergence Of The L Phenotype In Group B Streptococci In The South Of Ireland, Katherine Hayes, Lesley Cotter, L. Barry, Fiona O'Halloran
Emergence Of The L Phenotype In Group B Streptococci In The South Of Ireland, Katherine Hayes, Lesley Cotter, L. Barry, Fiona O'Halloran
Department of Biological Sciences Publications
Group B Streptococcal isolates (n = 235) from the South of Ireland were characterised by serotyping, antimicrobial susceptibility and determination of the phenotypic and genotypic mechanisms of resistance. Resistance to erythromycin and clindamycin was observed in 21·3% and 20·4% of the total population, respectively. The c-MLSB phenotype was the most common phenotype detected (62%), with ermB being the predominant genetic determinant, present in 84% of resistant isolates. The rare L phenotype was observed in 2·9% (n = 7) of isolates, four of which harboured the lsaC gene responsible for clindamycin resistance. Serotypes Ia, III and II were the most common …
A Blueprint To Evaluate One Health, Simon R. Rüegg, Barry J. Mcmahon, Barbara Häsler, Roberto Esposito, Helen O'Shea, Et Al
A Blueprint To Evaluate One Health, Simon R. Rüegg, Barry J. Mcmahon, Barbara Häsler, Roberto Esposito, Helen O'Shea, Et Al
Department of Biological Sciences Publications
One Health (OH) positions health professionals as agents for change and provides a platform to manage determinants of health that are often not comprehensively captured in medicine or public health alone. However, due to the organization of societies and disciplines, and the sectoral allocation of resources, the development of transdisciplinary approaches requires effort and perseverance. Therefore, there is a need to provide evidence on the added value of OH for governments, researchers, funding bodies, and stakeholders. This paper outlines a conceptual framework of what OH approaches can encompass and the added values they can provide. The framework was developed during …
Low Cost, Multi-Purpose Genotyping Panels For Dairy And Beef Cattle, Michelle Judge
Low Cost, Multi-Purpose Genotyping Panels For Dairy And Beef Cattle, Michelle Judge
Theses
rhe selection of animals based on DNA has revolutionised animal breeding, but the associated high cost of obtaining genotypes has limited its uptake. The objective of this thesis was to develop a low-cost, low-density, multi-purpose genotyping panel for the procurement of reliable genotype information, and to quantify the long-term consequences of using such low-density genotype panels in breeding programs. The objectives were achieved through a combination of real-life cattle genotype data and simulations to mimic a cattle population. The in-silico development of genotype panels was based on actual genotypes from up to 58,705 beef cattle. Alternative novel strategies were used …