Abstract:

Nutrients in dietary directly influence human health and they can serve as metabolic substrates forintestinal microbiota, while metabolic products of microbes absorbed by guts will affect human's physiologicalfunction. In this study, we reanalyzed a dataset of 16S rRNA sequencing consisting of 95 individuals that is divided into three groups (no diet group, diet with high fat group and diet with low fat group), using the ex-tended Taylor's Power Law method and Hill Number index with the aim to study whether or not the diet patternwould change gut microbiota spatial distribution patterns and diversity characteristics. Our results demonstratedthat the systematic characteristics of gut microbiota were stable in general and gut microbial communities pres-ent aggregate condition with little inter-species and intra-species heterogenety in different groups. Adjusteddiet pattern can not cause an obvious change in the spatial heterogeneity of gut microbiota. The result of HilNumber (g =0, 1) revealed that humans with high fat diet had higher diversity than humans with low fat diet.though no significant differences among all groups were observed in Hill Number when g took other values (g2, 3, 4). Overall, our results show that the diversity characteristics of gut microbiota link to the dietarpattern to some extent, but the spatial distribution of gut microbiota had little relationship with dietary pattern.

Key words: gut microbiota;Extended Taylor's Power Law, Hill Number, diversity, dietary pattern