Method for predicting microflora structure based on power law scaling model of diversity-area relationship (DAR)

A microbial community and diversity technology, applied in the fields of computational biology and medical ecology, can solve problems such as the inability to fully reflect the distribution of microbial communities, and achieve the effect of reliable technical indicators

Active Publication Date: 2019-07-16
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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Problems solved by technology

Although the traditional Species-Area Relationship (SAR) can reflect the change of the number of community species with the expansion of the detection area, it cannot fully reflect the distribution of microbial communities in the area.

Method used

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  • Method for predicting microflora structure based on power law scaling model of diversity-area relationship (DAR)
  • Method for predicting microflora structure based on power law scaling model of diversity-area relationship (DAR)
  • Method for predicting microflora structure based on power law scaling model of diversity-area relationship (DAR)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Example 1: Monitoring the structure and distribution of intestinal flora in 196 obese patients

[0050] Step【1】Citation of the data source: The gut microbiota site data were collected from 196 obese patients (BMI≥30kg m -2 ), the intestinal flora of obese patients constituted a special microbial ecosystem, and each patient’s fecal flora sample was a site sample in the microbial ecosystem, a total of 196 site samples. 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.

[0051] Step [2] Data processing: The 196 sampling sites of the intestinal microbial flora data of obese patients were randomly sorted, and the same number of sample sequences were randomly selected from these equally probable random sequences. The representative data can be computed to fit a DAR model.

[0052] Step [3] Calculate the diversity index (Hill numbers): ...

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Abstract

The invention discloses a method for predicting and evaluating a microflora structure, in particular to a method for predicting intra-area microflora diversity distribution based on a power law scaling model of species diversity-area relationship (DAR). According to the method, sampling loci are subjected to random samplesort and accumulation, accumulated species diversity under the accumulated sampling loci is acquired, and mathematical models are built respectively through a power law and a power law scaling model with exponential cutoff. A sampling and fitting process is repeated for several times, a set of comprehensive evaluation system is built according to the average parameters of the models. The system can effectively monitor or predict a distribution rule of microflora species diversity in a monitored region. The method can be applied to monitoring or prediction of distribution and structures of various kinds of microbial ecological communities in nature, and is particularlysuitable for human body microbial flora. By predicting the structure of the flora, the method can be applied to evaluation of human body health condition, and provides quantitative indexes for individualized 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 evaluating the structure of microbial communities, specifically referring to monitoring or predicting the diversity of microbial communities in a region based on a power law scaling model based on the relationship between species diversity index and regional scope Methods of distribution regularity and structure. Background technique [0002] Microorganisms have a large number and a large number of species, and they play important functions in the ecosystem, and also play an important role in maintaining the species diversity of the ecosystem. The stability of the microbial community in a region involves the stability and function realization of the entire ecosystem in the region. The number of species in the microbial community increases with the expansion of the area, and the growth rate of the number of species reflects the commun...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B5/00
CPCG16B5/00
Inventor 马占山李文迪
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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