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Method for predicting microflora structural variation based on power law scaling model of diversity-area-time relationship (DATR)

A technology of microbial community and space-time relationship, applied in the field of evaluating the variation of microbial community structure distribution with time and regional scope, can solve problems such as limiting the application scope of traditional methods, and achieve the effect of wide application

Active Publication Date: 2019-07-16
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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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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  • Method for predicting microflora structural variation based on power law scaling model of diversity-area-time relationship (DATR)
  • Method for predicting microflora structural variation based on power law scaling model of diversity-area-time relationship (DATR)
  • Method for predicting microflora structural variation based on power law scaling model of diversity-area-time relationship (DATR)

Examples

Experimental program
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Effect test

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 a microbial structure, in particular to a method for predicting distribution variation of microflora diversity on time and space scales based on a power law scaling model of diversity-area-time relationship (DATR). Sampling loci are subjected to random samplesort, species abundance information is accumulated according to the sampling loci and sampling time order, a species diversity index under accumulated time and space is calculated, and a mathematical model is built through the power law scaling model. A sampling and fitting process is repeated, and a set of comprehensive evaluation system is built by utilizing the average parameters of the models. The index can comprehensively and effectively monitor or predict the structural features and distribution rules of various kinds of microbial ecological communities in nature, and is particularly suitable for human body microbial flora. The method can provide reliable quantitative indexes and ecological basis for evaluation of human body health condition and diagnosis and treatment of flora related diseases according to the rule of change of the structure of the specific flora with time and space.

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