Wild animal non-invasive genome monitoring and population health assessment system

By collecting and analyzing microbial and environmental data from wild animal fecal samples, and utilizing microbial succession models and a health baseline database, the initial gut microbiota map was reconstructed. This solved the problem of misdiagnosis in health assessment of wild fecal samples over time, enabling accurate diagnosis and early warning of the physiological state of wild animals.

CN122266770APending Publication Date: 2026-06-23SHAANXI INST OF ZOOLOGY NORTHWEST INSTOF ENDANGERED ZOOLOGICAL SPECIES
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Patent Information

Application Number
CN202610369107.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-25
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies cannot effectively overcome the problem of misdiagnosis in health assessment caused by changes in the microbial composition of fecal samples collected in the field over time. In particular, the accuracy and reliability of old samples are insufficient, and false positive signals from environmental bacteria cannot be ruled out.

Method used

Raw sequencing data and microenvironment data are acquired through the biological data acquisition module. Using a pre-built microbial succession time model and core gut microbiota baseline library, time indicator features are generated, the duration of sample environmental exposure is calculated, environmental background microbiota noise is removed, the initial gut microbiota map is reconstructed, and physiological health assessment is performed in conjunction with a health baseline.

Benefits of technology

It enables reliable health assessment of old fecal samples, eliminates environmental noise interference, improves the accuracy and reliability of health diagnosis, and supports long-term, low-interference wildlife health monitoring and conservation management.

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Abstract

The invention relates to the technical field of animal health monitoring, in particular to a wild animal non-intrusive genome monitoring and population health assessment system, which is characterized in that a time indication marker is generated based on the ratio of a predetermined indicator genus, and the actual exposure time of a sample in the field is intelligently deduced by combining microenvironment data to be input into a pre-trained microbial succession model; and reconstructing an initial intestinal flora map at the moment of sample discharge. Further, the reconstructed high-fidelity flora atlas is deeply coupled with health assessment, so that scientific diagnosis and early warning of the physiological status of the wild animal individual are realized. The accuracy of health assessment, nutritional status analysis and pathogen detection is greatly improved, and the major misjudgment that environmental bacteria are misjudged as pathogenic bacteria or flora natural decay is misdiagnosed as ecological imbalance is avoided. And a stable and reliable technical tool is provided for protection and management of wild animals.
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