Feranchuk Sergey, Belkova Natalia, Potapova Ulyana, Kuzmin Dmitry, Belikov Sergei
Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033, Irkutsk, Russia; Department of Informatics, National Research Technical University, 664074, Irkutsk, Russia.
Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033, Irkutsk, Russia; Scientific Centre for Family Health and Human Reproduction Problems, 664033, Irkutsk, Russia.
Res Microbiol. 2018 May-Jun;169(4-5):254-261. doi: 10.1016/j.resmic.2018.03.004. Epub 2018 May 23.
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.
几种生物多样性测量方法通常用于描述微生物群落,这些群落通过16S基因测序进行分析。大量现有的16S基因测序实验使我们能够提出一个比较各种多样性指数的框架。比较的标准是在同一实验中,具有不同特征的微生物群落指数值差异的统计显著性。评估结果表明,香农多样性是常用多样性指数中最有效的测量方法。结果还表明,在当前框架内,基尼系数作为一种多样性指数与香农多样性相当,尽管基尼系数作为一种多样性估计方法在微生物学中远不如其他几种方法受欢迎。