Antifungal activity of essential oils extract from Origanum floribundum Munby, Rosmarinus officinalis L. and Thymus ciliatus Desf. against Candida albicans isolated from bovine clinical mastitis.

OBJECTIVE: The aim of this study is to limit the antibiotic use in mastitis treatment and to find other alternatives. The antifungal activity of the essential oils from Origanum floribundum Munby., Rosmarinus officinalis L. and Thymus ciliatus Desf. is studied in the present work against a Candida albicans reference strain and ten C. albicans isolated strains from bovine clinical mastitis. MATERIALS AND METHODS: Essential oils were extracted by hydrodistillation technique using Clevenger apparatus. Their chromatographic analysis was performed with a Gas Chromatograph/Mass Spectrometer (GC/MS). Antifungal activities of essential oils were investigated by macrobroth method of dilution in tubes to determine the Minimum Inhibitory Concentrations (MIC 80%). RESULTS: Analysis of the essential oil showed chemical profile dominated by thymol (50.47 and 62.41%) and P-cymene (24.22 and 15.51%) in the oregano and the thyme respectively, 1, 8-cineol (31.50%) and α-pinene (18.33%) in Rosemary. The three essential oils revealed highly effective anticandidal activity, with an MIC of 80% values ranged from 15.02 to 31.08µg/mL. CONCLUSION: These results suggest that essential oils studied can be real alternatives in the control of mastitis fungi but deserving studies more in-depth and detailed on their application in vivo.

Genome sequence and description of Mannheimia massilioguelmaensis sp. nov.

Strain MG13(T) sp. nov. is the type strain of Mannheimia massilioguelmaensis, a new species within the genus Mannheimia. This strain was isolated from the exudate of a skin lesion of an Algerian man. Mannheimia massilioguelmaensis is a Gram-negative, facultative anaerobic rod, member of the family Pasteurellaceae. Here we describe this organism, together with the complete genome sequence and annotation. The 2 186 813 bp long genome contains 2048 protein-coding and 55 RNA genes, including eight rRNA genes.

Molecular epidemiology and distribution of serotypes, genotypes, and antibiotic resistance genes of Streptococcus agalactiae clinical isolates from Guelma, Algeria and Marseille, France.

This study describes, for the first time, the genetic and phenotypic diversity among 93 Streptococcus agalactiae (group B Streptococcus, GBS) isolates collected from Guelma, Algeria and Marseille, France. All strains were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The molecular support of antibiotic resistance and serotyping were investigated by polymerase chain reaction (PCR). The phylogenetic lineage of each GBS isolate was determined by multilocus sequence typing (MLST) and grouped into clonal complexes (CCs) using eBURST. The isolates represented 37 sequence types (STs), 16 of which were novel, grouped into five CCs, and belonging to seven serotypes. Serotype V was the most prevalent serotype in our collection (44.1%). GBS isolates of each serotype were distributed among multiple CCs, including cps III/CC19, cps V/CC1, cps Ia/CC23, cps II/CC10, and cps III/CC17. All isolates presented susceptibility to penicillin, whereas resistance to erythromycin was detected in 40% and tetracycline in 82.2% of isolates. Of the 37 erythromycin-resistant isolates, 75.7% showed the macrolide-lincosamide-streptogramin B (MLSB)-resistant phenotype and 24.3% exhibited the macrolide (M)-resistant phenotype. Constitutive MLSB resistance (46%) mediated by the ermB gene was significantly associated with the Guelma isolates, whereas the M resistance phenotype (24.3%) mediated by the mefA/E gene dominated among the Marseille isolates and belonged to ST-23. Tetracycline resistance was predominantly due to tetM, which was detected alone (95.1%) or associated with tetO (3.7%). These results provide epidemiological data in these regions that establish a basis for monitoring increased resistance to erythromycin and also provide insight into correlations among clones, serotypes, and resistance genes.