ISSN 2736-1756
Advanced Journal of Microbiology Research Vol. 2015
Available online at http://internationalscholarsjournals.org/journal/ajmr
© 2015 International Scholars Journals
Full Length Research Paper
Estimation of bacterial diversity in soil and vermi compost using sole source carbon utilization (SSCU) profile
Nipun Silawat1*, Shweta Chouhan1, Pramod Sairkar1, R. K. Garg1, Neetu Vijay2 and N. N. Mehrotra3
1Centre of Excellence in Biotechnology, M.P. Council of Science and Technology (MPCST) Vigyan Bhawan, Nehru
Nagar, Bhopal-462003 (M.P.), India.
2Indian Council of Medical Research, New Delhi, India.
3Central Drug Research Institute, Chattar Manzil Palace, Lucknow - 226 001, Uttar Pardesh, India.
Accepted 17 December, 2014
Abstract
In this research study, three samples were collected from the T.S. Murthi Udhyan, Obedullahganj out of which two samples were from agriculture field soil and the third sample was from compost. Pure cultures of bacteria were isolated by using serial dilution and spread plate methods. The isolated bacterial cultures were separated according to the morphotypes and then bio-chemically tested. They were further identified with the help of bacteria identification program (PIBWin 2007). The identified bacterial cultures are Achromobacter group F, Acinetobacter calcoacet, Pseudomonas aeruginosa, P. malli, P. putida, P. cepacia, P. shutzeri, P. pseudomalli, P. malli and P. pickettii. The value of Simpson’s index (D) is 0.09, which represented high diversity. Isolated bacteria were inoculated in micro titer plates and Niche overlap index (NOI) was calculated after two days of inoculation. The results of study indicate that direct incubation of samples in micro titer plates produces patterns of metabolic response useful in the classification and characterization of microbial communities. Principal component analysis of colour responses quantified from digitized images of plates revealed distinctive patterns among microbial habitats and spatial gradients within soil and compost sites. Correlation of the original carbon source variables to the principal components gives a functional basis to distinctions among communities. Intensive spatial and temporal analysis of microbial communities with this technique can produce ecologically relevant classifications of heterotrophic microbial communities.
Key words: Microdiversity, compost, sole source carbon utilization, testing.