A computer program for the simplified phenotypic identification of Pseudomonas has been developed. The information concerning 66 species included in up-to-date Pseudomonas genus characterized by 113 tests was accumulated in a database. The identification key is represented in interactive mode on a website http://www.imv.kiev.ua/PsmIK/default.htm. The program was used for the identification of 46 Pseudomonas strains isolated from rhizosphere. For 23 more strains unidentified by conventional technique, the level of similarity was 67-74%. This fact allows suggesting that they might be representatives of new Pseudomonas species.
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J Hazard Mater
January 2025
Institute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4001, South Africa. Electronic address:
The ever-increasing microplastics (MPs) and antibiotic-resistance genes (ARGs) in aquatic ecosystems has become a serious global challenging issue. However, the impact of different pollution sources on microbiome and antibiotic resistome in surface water (SW) and plastisphere (PS) remains largely elusive. Here, shotgun metagenomics was used to analyze microbiome structure and antibiotic resistome in SW and PS under the influence of different pollution sources.
View Article and Find Full Text PDFJ Cosmet Dermatol
January 2025
State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Background: Scalp itch without evident cause is an uncomfortable symptom that annoys many people in life but lacks adequate attention in academic.
Aims: To investigate the relationship between scalp itching and microorganisms, and identify the key microbes and predicted functions associated with scalp itching, furtherly to provide useful targets for scalp itch solution.
Methods: We performed microbial comparison between 44 normal subjects and 89 subjects having scalp itching problem with un-identified origin based on 16S rRNA gene sequencing and ddPCR (digital droplet PCR), and identified itch relevant microbes and predicted functions.
Stomatologiia (Mosk)
January 2025
Central Research Institute of Dentistry and Maxillofacial Surgery, Moscow, Russia.
Objective: Study on the impact of medical wound dressing compositions on reference strains of microorganisms in vitro conditions.
Materials And Methods: The study compared the antimicrobial activity of three types of dressing materials (DM): iodoform gauze bandage, DM with furagin and sodium alginate, DM from hydrogel with dimexide and silver nitrates. Gauze bandage with chlorhexidine was used as a control.
Microb Ecol
January 2025
MikroIker Research Group, Immunology, Microbiology and Parasitology Department, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de La Universidad 7, 01006, Vitoria-Gasteiz, Spain.
The Añana Salt Valley (northern Spain) is a continental saltern consisting of a series of natural springs that have been used for salt production for at least 7000 years. This habitat has been relatively understudied; therefore, prokaryotic diversity was investigated through Illumina-based 16S rRNA gene sequencing to determine if the waters within the valley exhibit distinctive microbiological characteristics. Two main types of water were found in the valley: salty (approximately 200 g/L salinity) from the diapiric structure and brackish (≤ 20 g/L salinity) from shallow streams.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
January 2025
Dpartement de Biotechnologie, Laboratoire des Productions, Valorisations Vgtales et Microbiennes (LP2VM), Facult des Sciences de la Nature et de la Vie, B.P. 1505, El-Mnaour, Universit des Sciences et de la Technologie dOran Mohamed Boudiaf USTO-MB, Oran 31000, Algeria.
A thorough polyphasic taxonomic study, integrating genome-based taxonomic approaches, was carried out to characterize the RB5 strain isolated from root nodules of growing on the coastal dunes of Bousfer Beach (Oran, Algeria). The 16S rRNA gene sequence analysis revealed that strain RB5 had the highest similarity to LMG27940 (98.94%) and IzPS32d (98.
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