Rare aquatic organismwater sampleenvironment DNA (Deoxyribonucleic Acid) optimization-cultivationwater sample pre-detection method

Abstract

The invention discloses a rare aquatic organismwater sampleenvironment DNA (Deoxyribonucleic Acid) optimization-cultivationwater sample pre-detection method, which comprises the steps of before carrying out endangered aquatic species distribution investigation, making a perfect implementation plan through pre-detection; through acquiring an aquaculture pond water sample, and by taking detection of a target specie as an aim, analyzing water sample eDNA. Compared with water samples in a laboratory and an aquarium, according to the method, the physicochemical propertyof a water sample of an aquaculture pond constructed around a habitat has higher similarity to a water flow of an inhabiting area of species, so that the aquaculture pond water sample is utilized for simulating a habitat water sample, eDNA analysis process optimization of the target specie is carried out, and the reliability and the practicability of a determined operation flow are higher. According to the rare aquatic organismwater sampleenvironment DNA optimization-cultivationwater sample pre-detection method provided by the invention, the work efficiency of aquatic (semi-aquatic) species distributioninvestigation can be effectively improved, the work consumption is reduced, meanwhile, the reliability and the repeatability of an investigated result are ensured, and the sharing and the compatibility of different-source data are realized.

Description

technical field [0001] The invention belongs to the technical field of aquatic organism detection, and in particular relates to a rare aquatic organism water sample environment DNA optimization-culture water sample pre-detection method. Background technique [0002] Aquatic organisms are an important part of global biodiversity and have become the focus of biodiversity conservation in recent years. Compared with terrestrial animals, aquatic organisms' special living environment, living habits and relatively lagging resource survey methods make many aquatic species lack basic biological data, such as population distribution area, population size and population dynamics. The lack of resources has hindered the development of aquatic organism conservation biology research, and a new resource monitoring method is urgently needed to change this situation. With the development of molecular biology, especially the advent of DNA classification technology, a new monitoring method for...

AI Technical Summary

Problems solved by technology

[0006] In summary, the problems of the prior art are: (1) When investigating the same target species, different laboratories adopt differentiated water sample eDNA analysis procedures (including water sample collection methods, collection volume, water sample eDNA extraction method and eDNA analysis method), making it difficult to compare and share data from different sources of test results; (2) In the process of resource investigation of species that are endangered, rare in population, and extremely low in distribution density, the existing water sample environment The DNA analysis process lacks the process of optimizing the test process, and the random experimental plan will inevitably cause problems such as uncertainty of the test results and poor repeatability of the test results, which runs counter to the concept of species protection

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