20 strains of bacteria were isolated from river sediment using enrichment culture medium for denitrification, and the denitrification intensity was determined. F10, one of bacteria strain, was identified having the highest denitrifying intensity, and further used to test its role in the removing of nitrogen and phosphorus from wastewater in laboratory. By checking the individual morphology, colony culture characteristics, DNA sequencing and 16S rDNA gene bank, F10 was identified as Alcaligenes faecalis, and its denitrifying intensity was 63.2%. The highest removal of TN (76.2%) and TP (93.8%) were observed in a 10 days period with an addition of F10 at a rate of 100 mg/L.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Prophage-encoded chitinase gene supports growth of its bacterial host isolated from deep-sea sediments.
ISME J
January 2025
HADAL & Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark.
Auxiliary metabolic genes encoded by bacteriophages can influence host metabolic function during infection. In temperate phages, auxiliary metabolic genes may increase host fitness when integrated as prophages into the host genome. However, little is known about the contribution of prophage-encoded auxiliary metabolic genes to host metabolic properties.
View Article and Find Full Text PDFAn evaluation of clonal relationship by PFGE method in Acinetobacter baumannii isolates, examining integron presence and antibiotic resistance.
J Infect Dev Ctries
December 2024
Department of Medical Microbiology, Faculty of Medicine, Pamukkale University, Denizli, Turkey.
Introduction: This study aims to investigate the presence of class 1, 2, and 3 integrons in Acinetobacter baumannii isolates, evaluate the relationship between integrons and antibiotic resistance and determine the clonal relationship between isolates by PFGE method.
Methodology: A total of 188 A. baumannii strains between February 2020 and March 2023 were included in the study.
Antibiotic Resistance Trends in ESKAPE Pathogens Isolated at a Health Practice and Research Hospital: A Five-Year Retrospective Study.
J Infect Dev Ctries
December 2024
Ankara Etlik City Hospital, Department of Medical Microbiology, Ankara, Turkey.
Introduction: Antimicrobial resistance remains a global threat with increasing morbidity and mortality rates. The aim of this study was to identify the antimicrobial resistance trends among ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) isolated from clinical samples at a Health Practice and Research Hospital over five years.
View Article and Find Full Text PDFDetection of multidrug-resistant methicillin-resistant Staphylococcus aureus from healthy black Bengal goat in Bangladesh.
J Infect Dev Ctries
December 2024
Department of Microbiology & Hygiene, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.
Introduction: The emergence of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is a growing public health concern. The objective of this study was to determine the prevalence and multi-drug resistant (MDR) profiles of MRSA in goats in Bangladesh.
Methodology: A total of 150 samples from goats comprised of rectal swab (n = 50), nasal swab (n = 50), and milk (n = 50) were collected.
A study of the risk factors for Ureaplasma urealyticum infection and the predictive role of immunoinflammation.
J Infect Dev Ctries
December 2024
Tangshan Central Hospital, Tangshan, Hebei, People's Republic of China.
Introduction: Despite increasing awareness on the prevention of Ureaplasma urealyticum (Uu) infection, the high-risk factors responsible for infection in female patients in China are yet to be determined.
Methodology: The study included 3043 Chinese women. Cervical secretion samples were collected for Uu identification.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!