Document of bibliographic reference 297225

BibliographicReference record

Type

Bibliographic resource

Type of document

Journal article

BibLvlCode

AS

Title

Evaluating the use of diversity indices to distinguish between microbial communities with different traits

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.

WebOfScience code

https://www.webofscience.com/wos/woscc/full-record/WOS:000437845300008

Bibliographic citation

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://dx.doi.org/10.1016/j.resmic.2018.03.004

Is peer reviewed

true