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Microsatellite marking method for identifying wild siniperca chuatsi in Heilong River Valley

A wild-billed mandarin fish and microsatellite marker technology are applied in the field of wild population identification to achieve the effects of improving efficiency and accuracy, simple and quick operation, and protection of germplasm resources

Inactive Publication Date: 2013-08-21
HUAZHONG AGRI UNIV
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Problems solved by technology

At present, there is no quick and simple method for identifying wild populations of Siniperca cerevisiae in the Heilongjiang River Basin using microsatellite molecular marker technology

Method used

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  • Microsatellite marking method for identifying wild siniperca chuatsi in Heilong River Valley
  • Microsatellite marking method for identifying wild siniperca chuatsi in Heilong River Valley
  • Microsatellite marking method for identifying wild siniperca chuatsi in Heilong River Valley

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Embodiment 1

[0025] A microsatellite marker method for identifying wild mandarin fish in the Heilongjiang River Basin, comprising the following steps:

[0026] 1) DNA extraction:

[0027] Genomic DNA of Siniperca sinensis was extracted with TIANGEN Blood / Cell / Tissue Genomic DNA Extraction Kit. 1.2% agarose gel electrophoresis and ultraviolet spectrophotometer were used to detect the purity and concentration of DNA. A260 / A280 value was 1.8~1.9, and genomic DNA with a concentration of 1000~2000ng / μl was amplified.

[0028] The mandarin mandarin fish samples are selected from wild populations in Heilongjiang, wild populations in Lushui Reservoir, wild populations in Ganjiang, wild populations in Yuanjiang, 18 samples are randomly selected for each wild population, and the same DNA is taken from every 2 samples in the same population. The volume serves as 1 mixing template.

[0029] 2) DNA fragment amplification:

[0030] Using the polymerase chain reaction, the following is the relevant in...

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Abstract

The invention discloses a microsatellite marking method for identifying wild siniperca chuatsi in Heilong River Valley. The method comprises the following steps: extraction of genomic DNA (Deoxyribonucleic Acid) of siniperca chuatsi, amplification of DNA segments, electrophoresis and silver staining of PCR (Polymerase Chain Reaction) products and the like. If one or two specific DNA stripes are amplified from the sample at the position close to 230bp position of a standard map, the sample is identified as a Heilong River wild siniperca chuatsi colony. If one specific DNA stripe is amplified from the sample at the position close to 80bp position of the standard map, the sample is identified as other wild siniperca chuatsi colony. The method provided by the invention is simple and quick to operate, and the identifying efficiency and accuracy of the siniperca chuatsi in Heilong River Valley can be improved, so that the method has important significance for genetic resource conservation of wild siniperca chuatsi colony in the river basin.

Description

technical field [0001] The invention belongs to the technical field of identification of wild populations in aquaculture, and in particular relates to a microsatellite marking method for identifying wild mandarin fish in the Heilongjiang River Basin. technical background [0002] Commonly known as sweet-scented osmanthus mandarin fish (Simiperca chuatisi), it belongs to the family Perciformae. It has the characteristics of fast growth, delicious meat, few spines, rich in essential amino acids, and low fat content. It is widely distributed in major freshwater lakes and rivers in China. It is distributed in all major water systems except the Qinghai-Tibet Plateau, and the distribution of rivers and lakes in the Yangtze River Basin is the most abundant. [0003] The Heilongjiang water system is the northernmost water system in China. Although it is not as developed as the Yangtze River system, Heilongjiang is still one of the rivers with the richest fishery resources and the m...

Claims

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Application Information

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IPC IPC(8): C12Q1/68
Inventor 梁旭方郑荷子杨敏田昌绪赵程窦亚琪
Owner HUAZHONG AGRI UNIV
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