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A method for predicting changes in microbial community structure based on a power-law scaling model based on the relationship between diversity index and space-time

A microbial community and diversity technology, applied in the fields of computational biology and medical ecology, can solve problems that limit the scope of application of traditional methods

Active Publication Date: 2021-05-14
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above limitations all limit the scope of application of traditional methods, so a more comprehensive and comprehensive method and evaluation system is needed to monitor or predict the distribution and change characteristics of the microbial ecological community structure on the spatio-temporal scale

Method used

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  • A method for predicting changes in microbial community structure based on a power-law scaling model based on the relationship between diversity index and space-time
  • A method for predicting changes in microbial community structure based on a power-law scaling model based on the relationship between diversity index and space-time
  • A method for predicting changes in microbial community structure based on a power-law scaling model based on the relationship between diversity index and space-time

Examples

Experimental program
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Embodiment 1

[0032] Example 1: Monitoring the structural changes of the reproductive tract microbial flora of 22 pregnant women for nearly 30 weeks

[0033] Step【1】Citation of the data source:

[0034] The genital microbiome data were collected from 22 women at 32-42 weeks of pregnancy. During pregnancy, samples were taken every four weeks for 24 weeks, and every two weeks until delivery. The reproductive tract flora of pregnant women is an independent and complete microbial ecosystem, and each woman is a regional community in the system, a total of 22 regional communities. The original author used 16s-rRNA gene marker sequencing technology to obtain data on the species richness (Richness) and abundance (Abundance) of intestinal microbial flora in obese people.

[0035] Step [2] Data processing: Perform random equal-probability sampling and sorting on 22 bacterial communities to obtain a set of species abundance information data at different spatio-temporal locations. A DATR model can b...

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Abstract

The invention discloses a method for predicting and evaluating microbial structure, specifically referring to a method for predicting the distribution change of microbial community diversity on time and space scales based on a power law scaling model of the relationship between species diversity index, regional scope and time scale. By randomly sampling and sorting the sampling sites, the species abundance information is accumulated according to the sampling sites and sampling time order, and the species diversity index under the accumulated time and space is calculated, and a mathematical model is constructed through the power law scaling model. Repeat the sampling fitting process above, and use the average parameters of the model to construct a comprehensive evaluation system. This indicator can comprehensively and effectively monitor or predict the structural characteristics and distribution rules of various microbial ecological communities in nature, especially for human microbial flora. According to the regularity of the structure of specific flora changing with time and space, the present invention can provide reliable quantitative indicators and ecological basis for the assessment of human health status and the diagnosis and treatment of flora-related diseases.

Description

technical field [0001] The present invention relates to the fields of computational biology and medical ecology, in particular to a method for assessing changes in the distribution of microbial community structure over time and regional scope, specifically referring to a power law scaling model based on the relationship between species diversity index and time and space to monitor Methods for structural and distributional changes in microbial community diversity on temporal and spatial scales. Background technique [0002] Microorganisms are one of the important components of natural ecosystems due to their various species and large numbers. They maintain the stability of the ecosystem and play an important role in the functioning of the ecosystem. The number of species in the microbial community will increase with the expansion of the distribution range of the community, and its growth rate reflects the structure and spatial distribution characteristics of the community. I...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B25/00
CPCG16B25/00
Inventor 马占山李文迪
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI