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Updated: Feb 10, 2026

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities
Published on: December 25, 2015
Evaluating the use of diversity indices to distinguish between microbial communities with different traits
Sergey Feranchuk1, Natalia Belkova2, Ulyana Potapova3
1Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033, Irkutsk, Russia; Department of Informatics, National Research Technical University, 664074, Irkutsk, Russia.
Abstract:
Several measures of biodiversity are commonly used to describe microbial communities, analyzed using 16S gene sequencing. A wide range of available experiments on 16S gene sequencing allows us to present a framework for a comparison of various diversity indices. The criterion for the comparison is the statistical significance of the difference in index values for microbial communities with different traits, within the same experiment. The results of the evaluation indicate that Shannon diversity is the most effective measure among the commonly used diversity indices. The results also indicate that, within the present framework, the Gini coefficient as a diversity index is comparable to Shannon diversity, despite the fact that the Gini coefficient, as a diversity estimator, is far less popular in microbiology than several other measures.
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