Evaluating the use of diversity indices to distinguish between microbial communities with different traits |
| |
| Authors: | Sergey Feranchuk Natalia Belkova Ulyana Potapova Dmitry Kuzmin Sergei Belikov |
| |
| Affiliation: | 1. Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033, Irkutsk, Russia;2. Department of Informatics, National Research Technical University, 664074, Irkutsk, Russia;3. Scientific Centre for Family Health and Human Reproduction Problems, 664033, Irkutsk, Russia;4. Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia;5. Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, 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. |
| |
| Keywords: | Ecosystem Metagenomics RNA Ribosomal 16s Model |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
