A method for predicting microbial community structure based on a power-law scaling model of diversity index and area-wide relationship

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: 2021-06-25
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for predicting microbial community structure based on a power-law scaling model of diversity index and area-wide relationship
  • A method for predicting microbial community structure based on a power-law scaling model of diversity index and area-wide relationship
  • A method for predicting microbial community structure based on a power-law scaling model of diversity index and area-wide relationship

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): ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for predicting and evaluating the microbial community structure, and specifically refers to a method for predicting the distribution of microbial community diversity in a region based on a power law scaling model of the relationship between species diversity index and regional scope. The invention performs random sampling sorting and accumulation on the sampling sites, obtains the cumulative species diversity under the cumulative sampling sites, and constructs mathematical models through the power law and the exponentially truncated power law scaling model respectively. Repeat the above sampling and fitting process several times, and construct a comprehensive evaluation system based on the average parameters of the model, which can effectively monitor or predict the distribution of microbial community species diversity in the monitoring area. The invention can be used for monitoring or predicting the distribution and structure of various microbial ecological communities in nature, and is especially suitable for human microbial flora. By predicting the structure of the flora, the invention can be used to evaluate the health status of the human body, and provide quantitative indicators 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G16B5/00
CPCG16B5/00
Inventor 马占山李文迪
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap