MATEC Web of Conferences
Volume 22, 2015International Conference on Engineering Technology and Application (ICETA 2015)
|Number of page(s)||6|
|Section||Civil and Environmental Engineering|
|Published online||09 July 2015|
Application and Optimization of Biolog EcoPlates in Functional Diversity Studies of Soil Microbial Communities
1 College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu, China
2 Department of Forest, Nepal
The biological diversity contributes to many aspects of human well-being and ecosystem function, however, we have known very little about microbial diversity due to the limitations of appropriate methodology underneath it. The development of biotech have brought revolutionary progress in the study of microbial diversity in which Biolog required to pay a lot of attention due to its ability of reflecting the metabolic situation of living microbial communities and have used widely in the study of soil microbial communities. However, there are some controversies during its operation procedure and incubation process, handling large data during the analysis might have also caused trouble in the overall process. The approach based on uses of “absolute used”, “INDIRECT” function in Excel could greatly optimize the data analysis, and the increase of principle components in Principle Component Analysis (PCA) were able to extract more information from original data. Besides, the method that through “Taylor” and “logic” transformation for original data before PCA analysis could achieve data analysis optimization. This paper have presented the applications and optimization of Biolog EcoPlates in studies of functional diversity of microbial communities, presented its inherent biases and prospects, provided some reference for the applications and popularization of Biolog EcoPlates for microbial study and finally, the results imply improving the knowledge of biotech in study of soil microbial functional diversity.
Key words: Biolog Eco plates / microbial communities / functional diversity / PCA analysis
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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