Phenotypic Resistance Pattern of Bacterial Isolates from Gold Mine Tailings in Ile Ife, Osun State, Nigeria

Artisanal gold mining and the resultant environmental degradation and health hazards have been a cause for public health concern. This, specifically as heavy metal contaminated environments have been pointed out as major players in the dissemination of resistant pathogens of public health concern. This study aimed to determine the phenotypic antibiotic resistance profiles of bacteria isolated from gold mine tailings in a community in Osun State, Nigeria. Bacteria were isolated from excavation soil samples using standard microbiological methods, with general-purpose and selective media. Antibiotic susceptibility testing was performed by Kirby-Bauer disc diffusion method. Isolates recovered were identified and their zone of growth inhibition was determined. Of the 32 isolates identified, 100% were resistant to ceftriazone, and also 100% resistance respectively to oxacillin and amoxicillin-clavulanic acid by all the isolates tested, while 96.67% were resistant to ceftazidime. The isolates exhibited 12 phenotypic resistance pattern of which 100% were resistant to at least three types of antibiotics and over 45% MDR-multidrug resistance. These findings indicate a high frequency occurrence of antibiotic resistance in the goldmine tailings including multidrug resistant bacteria in the environment. Hence, this calls for the concerned stakeholders to take necessary measures in safeguarding the catchment community against this public health menace.

Authors

Institutions

Publication Details

Journal
Asian Journal of Microbiology and Biotechnology
Published
2024-12-29
DOI
https://doi.org/10.56557/ajmab/2024/v9i29025
Primary Topic
Metal Extraction and Bioleaching
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenotypic Resistance Pattern of Bacterial Isolates from Gold Mine Tailings in Ile Ife, Osun State, Nigeria

Ademola Adetayo Olayinka, Cecilia Nireti Fakorede, Evelyn Nwadinkpa Fatokun, Karen Amishe
Asian Journal of Microbiology and Biotechnology
Metal Extraction and Bioleaching
article

Phenotypic Resistance Pattern of Bacterial Isolates from Gold Mine Tailings in Ile Ife, Osun State, Nigeria

Ademola Adetayo Olayinka, Cecilia Nireti Fakorede, Evelyn Nwadinkpa Fatokun, Karen Amishe
article en

Abstract

Artisanal gold mining and the resultant environmental degradation and health hazards have been a cause for public health concern. This, specifically as heavy metal contaminated environments have been pointed out as major players in the dissemination of resistant pathogens of public health concern. This study aimed to determine the phenotypic antibiotic resistance profiles of bacteria isolated from gold mine tailings in a community in Osun State, Nigeria. Bacteria were isolated from excavation soil samples using standard microbiological methods, with general-purpose and selective media. Antibiotic susceptibility testing was performed by Kirby-Bauer disc diffusion method. Isolates recovered were identified and their zone of growth inhibition was determined. Of the 32 isolates identified, 100% were resistant to ceftriazone, and also 100% resistance respectively to oxacillin and amoxicillin-clavulanic acid by all the isolates tested, while 96.67% were resistant to ceftazidime. The isolates exhibited 12 phenotypic resistance pattern of which 100% were resistant to at least three types of antibiotics and over 45% MDR-multidrug resistance. These findings indicate a high frequency occurrence of antibiotic resistance in the goldmine tailings including multidrug resistant bacteria in the environment. Hence, this calls for the concerned stakeholders to take necessary measures in safeguarding the catchment community against this public health menace.

Asian Journal of Microbiology and BiotechnologyVol. 9(2)
Caleb University (NG), Oduduwa University (NG), Obafemi Awolowo University (NG)
Life in Land
Openalex Percentile: Top 77%
Metal Extraction and Bioleaching
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.