Primers, kit and detection method for detecting gene type of dominant white feather site of chicken PMEL17 gene

Abstract

The invention discloses primers, a kit and a detection method for detecting a gene type of a dominant white feather site of chicken PMEL17 gene and belongs to the technical field of biology. According to the detection method, a specific primer P1-R of allelic gene I is designed, aiming at a situation that a 9bp insert (-CTGGGCACC-) exists in a 10th exon of the PMEL17 gene; a specific primer P2-F of allelic gene i is designed, aiming at the situation that no 9bp insert exists in the 10th exon of the PMEL17 gene; the specific primer pair P1 of the allelic gene I is used for amplifying an allelic gene I of the PMEL17 gene; the specific primer pair P2 of the allelic gene i is used for amplifying an allelic gene i of the PMEL17 gene; after a PCR (Polymerase Chain Reaction), agarose gel electrophoresis is carried out; the gene type of the dominant white feather site of the PMEL17 gene is detected accurately, rapidly and conveniently according to the result of the agarose gel electrophoresis. Compared with the prior art, a molecular biological method established in the invention can greatly improve the judging efficiency and accuracy of the gene type; and the method is simple, easy to operate and low in cost.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows researcher to efficiently identify DNA sequences called people who contribute significantly more greenhouse gas emissions than others without causing environmental concerns or affecting their healthy behavioral response during incubation periods. By comparing different types of DNA sequence data from two individuals's sibling children we aimed at developing new methods to improve understanding how these differences impact climate change and reduce carbon dioxide levels caused by fossil fuel combustion processes.

Problems solved by technology

This patents describes how certain DNA sequences called chromosomes help determine if somatic cells contain any inherited or potentially harmful mutations such as cancer causing reduced growth rates. However, there may also exist other factors like environmental stressors leading to changes over time, making accurate diagnosis challenging due to variations between these sources. These technical problem addressed through research efforts involve identifying key regions within genomics data from among thousands of known wild birds's DNA sequence databases containing millions of possible relevant segments.

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