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Evaluating the use of diversity indices to distinguish between microbial communities with different traits
Feranchuk, S.; Belkova, N.; Potapova, U.; Kuzmin, D.; Belikov, S. (2018). Evaluating the use of diversity indices to distinguish between microbial communities with different traits. Research in Microbiology 169(4-5): 254-261. https://hdl.handle.net/10.1016/j.resmic.2018.03.004
In: Research in Microbiology. ELSEVIER SCIENCE BV: Amsterdam. ISSN 0923-2508; e-ISSN 1769-7123, more
Peer reviewed article  

Available in  Authors 

Author keywords
    Ecosystem; Metagenomics; RNA; Ribosomal 16s; Model

Authors  Top 
  • Feranchuk, S.
  • Belkova, N.
  • Potapova, U.
  • Kuzmin, D.
  • Belikov, S.

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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