Quantitative prawn disease prediction method based on intestinal tract indicator bacteria

A prediction method and technology of indicator bacteria, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as high cost, high professional technical requirements, routine evaluation and early warning of difficult shrimp diseases, and improve economic benefits , reduce risk and improve accuracy

Active Publication Date: 2017-10-20
NINGBO UNIV
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Problems solved by technology

However, high-throughput sequencing technology has the characteristics of long cycle, high cost and high professional technical

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  • Quantitative prawn disease prediction method based on intestinal tract indicator bacteria
  • Quantitative prawn disease prediction method based on intestinal tract indicator bacteria
  • Quantitative prawn disease prediction method based on intestinal tract indicator bacteria

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Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with the embodiments of the drawings.

[0029] Specific implementation case

[0030] From April to July, 2016, starting from April 8, 2016, seedlings of Litopenaeus vannamei were planted 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, Samples were collected from 6 ponds after 87 and 93 days. After 84 days after the seedlings were released, 3 out of the 6 farming ponds were monitored for shrimp disease, and the severity of the disease increased over time, and the mortality rate increased linearly. We collected 103 samples of healthy and diseased shrimp at the same time. The samples were extracted by DNA, PCR amplified the bacterial 16S rRNA gene, and Illumina paired-end sequencing was used to obtain the composition of the intestinal bacterial community of each sample and converted to relative abundance; the blood of the shrimp was drawn to measure the superoxide dismutase (SOD) concentration, comb...

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Abstract

The invention discloses a quantitative prawn disease prediction method based on intestinal tract bacterial indicators. The quantitative prawn disease prediction method is characterized in that prawn health condition indicator bacteriophyta are screened based on bioinformatics, and characteristic design specific primers are formed based on prawn intestinal flora; real-time quantitative PCR is adopted to detect the relative abundance of the health indicator bacteriophyta, the relative abundance of the health indicator bacteriophyta and its indicating weight are used as independent variables to self-establish a prediction model, and quantitative disease prediction during prawn breeding is achieved. The method has the advantages that the influences of diseases on intestinal flora at different growth stages are distinguished, the accuracy rate of prediction is improved, meanwhile the cheap disease prediction method is established and has a very high actual application value, a basis can be provided for formulation of a coping and intervention measure, for example, design of probiotics, and the method has the good pushing effect on reduction of the prawn breeding risk.

Description

Technical field [0001] The invention relates to a method for predicting aquaculture diseases, in particular to a method for quantitatively predicting shrimp diseases based on intestinal indicator bacteria. Background technique [0002] The mode of shrimp farming has changed from earthen pond farming to intensive, high-density greenhouses and circulating aquaculture. This change has led to an increase in stressors and a decrease in shrimp immunity, resulting in frequent occurrence of shrimp farming diseases. Shrimp diseases have the characteristics of rapid onset and high mortality, but currently there is a lack of particularly effective treatment methods. Under the background that the occurrence of shrimp diseases has not improved significantly, and some areas have aggravated trends, in 2016 the Ministry of Agriculture formulated a plan for the prevention and control of major shrimp diseases. The core link is the safe and reasonable use of medicines under the guidance of disease ...

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Application Information

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IPC IPC(8): G06F19/12G06F19/22G06Q50/02
CPCG06Q50/02G16B5/00G16B30/00
Inventor 熊金波郁维娜戴文芳
Owner NINGBO UNIV
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