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International Journal of Applied Agricultural & Horticultural Sciences
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
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Vol. 5 (4) : July-August 2014 issue
Green Farming Vol. 5 (4) : 577-582 ; July-August, 2014
Comparative analysis of bacterial community structure in three acidic soils of India by cultivation independent approach
KIRAN K REDDY1*, PRANITA BOSE2 and KANNEPALLI ANNAPURNA3
Division of Microbiology, Indian Agricultural Research Institute, PUSA, New Delhi - 110 012
Designation :  
1Research Scholar *(kampatikiran34@gmail.com), 2Res. Fellow, 3Principal Scientist
Subject : Biotechnology, Molecular biology, Agriculture Microbiology and Cancer Res.
Paper No. : P-1333
Total Pages : 6
Received : 14 January 2014
Revised accepted : 28 June 2014
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Citation :

KIRAN K REDDY, PRANITA BOSE and KANNEPALLI ANNAPURNA. 2014. Comparative analysis of bacterial community structure in three acidic soils of India by cultivation independent approach. Green Farming  Vol. 5 (4) : 577-582  ;  July-August, 2014

ABSTRACT
The analysis of soil microbial communities has relied on culturing techniques using a variety of culture media designed to maximize the recovery of diverse microbial populations. However, only a small fraction (0.1%) of the soil microbial community has been accessible with this approach. In this study we have used phospholipid fatty acids and DGGE profiles to access a greater proportion of the soil bacterial community in order to understand the phylogenetic diversity existing in three acid soils. Results suggested that no direct relationships existed between bacterial community structure, soil enzyme activities and soil nutrient status. The Shannon index was significantly highest in Kodaiakanal acid soil (2.48) than that in other two acid soil. The Dice coefficient was the highest between Kodaikanal acidic and Manipur acidic soil representing a great amount of similarity between them. Total PLFA (mole %), was found to be highest in Kodaikanal acid soil (76.09 %), followed by Uttarakhand acid soil (70.91%). Principal component analysis (PCA) analysis clearly indicated site dependent differences in the bacterial community of the three soils.
Key words :
Bacterial community, Community structure, Dice coefficient, DGGE, PCA, PLFA, Shannon index.