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昆明冶金高等专科学校学报 ›› 2021, Vol. 37 ›› Issue (3): 101-.DOI: 10.3969/j.issn.1009-0479.2021.03.019

• 数理科学 • 上一篇    下一篇

幂函数在肠道微生物聚集性中的应用

沈栩竹   

  1. (昆明冶金高等专科学校通识与素质教育学院,云南 昆明 650033)
  • 收稿日期:2021-01-11 出版日期:2021-06-13 发布日期:2023-12-12
  • 作者简介:沈栩竹 (1984-),女,辽宁锦州人,讲师,理学硕士,主要从事数值代数、数学在信息处理中的应用与生 物数学等方向的研究。

Study on Spatial Heterogeneity and Diversity of Intestinal Microbes Based on Extended Taylor Power Law Mode

SHEN Xuzhu   

  1. ( Faculty of Ceneral and Quality Education, Kunming Metallurgy College, Kunming 650033, China)
  • Received:2021-01-11 Online:2021-06-13 Published:2023-12-12

摘要: 饮食的营养物质直接影响人体的健康,同时为肠道微生物提供代谢产物,而微生物的代谢产物被肠道吸收后影响人体的生理功能。将采自95 人粪便的微生物的 16S RNA 样本数据按饮食的情况分为3 组,饮食前、饮食含高脂肪和饮食含低脂肪。从微生物群落的空间分布模式和多样性角度,应用扩展的 Tavlr 幂法则及 Hilnumbers 多样性指数对分组数据进行计算比较,研究饮食结构变化对肠道微生物群落的空间分布模式和多样性特征的影响。结果表明: 肠道微生物群落的系统特征是稳定的,肠道微生物呈聚集状态,但微生物的种间与种内的异质性差异较小: 饮食结构调不能显著改变人群的肠道微生物的空间分布模式(异质性),Hil mumber 指数(g=01)计算表明饮食含高脂肪人群相对饮食含低脂肪人群具有更高的肠道微生物多样性。但 g=23,4的Hill mumber 指数显示,3 个分组的多样性无显著差异。综合结果表明肠道微生物群落的空间分布模式和多样性特征不随饮食结构的变化而改变。

关键词: 肠道微生物, Taylor 幂法则扩展模型, Hill Number, 多样性, 饮食结构

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

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