Mustapha Bashir Kazaure*
Department of Science Laboratory Technology, College of Science and Technology, Jigawa State Polytechnic Dutse, Nigeria
*Corresponding Author: Mustapha Bashir Kazaure, Department of Science Laboratory Technology, College of Science and Technology, Jigawa State Polytechnic Dutse, Nigeria.
Received: April 25, 2018; Published: June 21, 2018
Citation: Mustapha Bashir Kazaure. “Distribution of Bacteria in Lead Contaminated Soil in Anka Local Government Area, Zamfara State, Nigeria”. Acta Scientific Microbiology 1.7 (2018).
This study was to determine the distribution of bacteria in lead contaminated soil of Anka Local Government Area of Zamfara State, Nigeria. Soil samples were collected from five different places of the local government which include Abare, Bagega (BGG), Dan Kamfani (DNK), Dareta (DRT) and Anka town (ANT) where illegal gold mining activities is taking place. The samples were collected for the period of three months (November, December and January). The physicochemical and bacteriological parameters of the soil samples were analyzed. The soil samples were serially diluted and 0.1ml of 106 dilution factors was inoculated into nutrient agar and incubated for 24 hours at 370C. The highest concentrations recorded for lead was 57 × 101mg/kg from the DNK. Soil from ANT had the highest total bacterial counts of 6.9 × 106 cfu/g, 5.5 × 106 cfu/g and 7.2 × 106 cfu/g for November, December and January respectively. The predominant bacterial isolates were identified as species of Bacillus, Proteus, Achromobacter, Citrobacter, Corynebacerium, Alcaligenes, Pseudomonas, Staphylococcus, Klebsiella, Escherichia, Agrobacterium, Enterobacter and Diplococcus. Bacillus species had the highest frequency of occurrence (45.67%). Achromobacter, Agrobacterium, Enterobacter and Diplococcus species had a very low frequency of occurrence (0.79%).
Keywords: Bacteria; Lead; Contaminated; Soil
Copyright: © 2018 Mustapha Bashir Kazaure. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.