ArticleVeterinary research forum : an international quarterly journal2016
Prevalence and molecular characterization of staphylococci isolated from sheep with subclinical mastitis in West-Azerbaijan province, Iran.
Article in Veterinary research forum : an international quarterly journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Coagulase-Negative Staphylococci as an Etiologic Agent of Ovine Mastitis, with a Focus on Subclinical Forms.Antibiotics (Basel, Switzerland) · 2023Review
- Molecular Characterization of Methicillin-Resistant Staphylococci from the Dairy Value Chain in Two Indian States.Pathogens (Basel, Switzerland) · 2023Article
- Study on the accuracy of milk amyloid A test and other diagnostic methods for identification of milk quality.Veterinary research forum : an international quarterly journal · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was conducted to investigate the prevalence of subclinical mastitis caused by Staphylococcus spp. in ewes in West-Azerbaijan province of Iran. Molecular characterization of isolated Staphylococcus spp. from diseased ewes were performed using polymerase chain reaction (PCR) followed by restriction fragment length polymorphism (RFLP) and DNA sequencing of glyceraldehyde-3-phosphate dehydrogenase (gap) gene. Also, antibiotic resistance of staphylococcal isolates against different antibiotics was investigated. A total number of 900 milk samples from 450 native ewes in their mid-lactation period were examined by the California mastitis test (CMT). The CMT positive samples were cultured and bacteria were isolated from 86 (9.50%) glands and 74 (16.40%) ewes. The prevalence of subclinical mastitis in the examined ewes was 16.40%. Microbiological analysis of milk samples revealed that 27 out of 74 sheep with subclinical mastitis were infected with Staphylococcus spp. Amplification of gap gene of 27 Staphylococcus isolates generated a single amplicon of 933 bp in size confirming that isolates were belonged to Staphylococcus genus. Digestion of PCR products by AluI endonuclease generated different RFLP patterns for each species. Nucleotide sequencing of gap gene followed by phylogenetic analysis showed that the most dominant Staphylococcus species were S. epidermidis, S. xylosus and S. chromogenes. Staphylococcal isolates showed the highest resistance to penicillin and ampicillin. In conclusion, Staphylococcus species, except for the southern parts of the province, play an important role in the development of subclinical mastitis in sheep in West-Azerbaijan province of Iran. Also, chloramphenicol, ciprofloxacin and neomycin are the most effective antibiotics for treatment of this disease.
Indexed as
Identifiers
27482361PMC4959344W2466993658What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.