QTL related to buffalo milk production traits as well as screening method and application of QTL

A buffalo and trait technology, applied in the field of QTL and its screening, can solve problems such as the inability to meet molecular breeding

Active Publication Date: 2019-09-27
GUANGXI ZHUANG AUTONOMOUS REGION BUFFALO INST
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, there are still few QTLs related to milk production traits that have been screened out so far, which is far from meeting the needs of molecular breeding

Method used

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  • QTL related to buffalo milk production traits as well as screening method and application of QTL
  • QTL related to buffalo milk production traits as well as screening method and application of QTL
  • QTL related to buffalo milk production traits as well as screening method and application of QTL

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Experimental program
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Effect test

Embodiment 1

[0062] 1. Screening method

[0063] 1. Sample collection and genotyping

[0064] 1) 13 buffalo breeds, a total of 196 buffalo individuals were used in this experimental research;

[0065] 2) Blood samples from 122 buffalo individuals were collected and used for subsequent genotyping studies, including 23 river buffaloes, 20 hybrid buffaloes and 79 swamp buffaloes (from five breeds) . The genotype data of the remaining 74 buffaloes are from the research report of Colli et al. (2018);

[0066] 3) Genotyping of 122 buffaloes using Buffalo Genotyping Array (Affymetrix, Santa Clara, CA, USA) completed;

[0067] 4) Data quality control: SNP quality control is completed by plink software, and individuals who meet the following selection thresholds will be excluded: minor allele frequency (MAF)≤0.05, SNP call rate≤95%, individual call rate≤95%;

[0068] 5) Finally, a total of 35547 SNPs passed the quality control and can be used for subsequent analysis.

[0069] 2. Population g...

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Abstract

The invention discloses QTL related to buffalo milk production traits and a screening method and application thereof. The screening method of the QTL related to buffalo milk production traits comprises the specific steps of sample collection and genotyping, population genetic analysis, selection signal identification and QTL identification related to buffalo milk production traits. The method specifically comprises: screening out four QTLs (Quantitative Trait Locus) containing the most significant SNP, such as 11_Block2, 12_Block2, 16_Block1 and 19_Block5; applying H1H3, H3H4 or H1H2 in 11-Block2, H2H2 in 12_Block2, H2H2 in 16_Block1, H1H4 in 16_Block1 and H2H4 in 19_Block5 to judge and breed buffalo with excellent milk production traits. Technical support is provided for breeding of buffalo milk with excellent milk production performance, and the method is a new method for auxiliary detection of buffalo milk production traits.

Description

【Technical field】 [0001] The invention relates to the field of biotechnology, in particular to a QTL related to milk production traits of buffaloes, a screening method and application thereof. 【Background technique】 [0002] Buffalo is an important characteristic dairy breed in southern my country. It has excellent milk quality and rich nutrition. It has the reputation of "the king of milk" and is deeply loved by consumers. However, low milk production has become a major scientific issue affecting the development of the buffalo industry. As we all know, the milk production trait is an important economic trait of milk buffalo, which belongs to the quantitative trait and is controlled by the micro-effect polygene. Genetic analysis of buffalo milk production traits will have important scientific significance for improving the yield level of this species. [0003] With the rapid development of modern biotechnology, great changes have taken place in breeding theory and related ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/20G16B20/30
CPCG16B20/30G16B20/20
Inventor 邓廷贤陆杏蓉段安琴梁莎莎马小娅
Owner GUANGXI ZHUANG AUTONOMOUS REGION BUFFALO INST
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