Method for detecting output of bee milk by bee verm gene

Abstract

The invention relates to a method for detecting output of bee milk by a bee verm gene. The method comprises the following steps: collecting bee samples; carrying out RNA extraction on the head of the bee; carrying out cDNA synthesis on the head of the bee; designing a primer; performing qRT-PCR reaction system and condition; and identifying output performance of the bee milk. Based on the molecular biology, the invention provides a fluorescent quantitative PCR method which can more scientifically and accurately identify advantages and disadvantages of the output of the bee milk of a swarm so as to solve the problem that production of the bee milk is hugely influenced by conditions such as swarm advantages, honey sources, environment and climate, so that the bee milk production character inspecting period is greatly shortened, the bee breeding speed is accelerated, the cost for inspecting the production character observation is lowered, and the work strength of inspecting the output performance of the bee milk in the field.

Description

technical field [0001] The invention relates to a method for identifying the yield performance of royal jelly by using fluorescent quantitative PCR technology, in particular to a method for detecting the yield of royal jelly by using bee verm gene. Background technique [0002] my country is a big beekeeping country, and it is also the main producer of royal jelly. More than 90% of the world's royal jelly is produced in China, and royal jelly-yielding bees are a unique bee resource in my country. For a long time, my country's bee industry scientific and technological workers have been committed to the related research on the genetic breeding of bees with high royal jelly yield, in order to find the genetic markers related to the high-yield traits of royal jelly, and serve the high-yield breeding of bee royal jelly. The genetic markers related to the high yield of royal jelly were studied at the level of morphology, cytology, biochemistry and molecular level. An overview is ...

AI Technical Summary

Problems solved by technology

They believed that the number of bee species and sample size in the above experiment was too small, and the sample selection was not very scientific. It cannot be simply inferred that W316bp can be used as a marker of high-yielding royal jelly just because three bees with high-yielding royal jelly have it but not among the low-yielding bees. Potentially related to other biological traits of four different bee species

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