全基因组和转录组分析确定了与川黑猪生长特征相关的遗传标记
Yaxin Wang1, Guangquan Lv1, Zhe Liu1
1Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Laboratory of Animal Fat Deposition and Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
BMC genomics
|May 12, 2025
概括
这项研究使用全基因组和转录组分析确定了6个关键基因,这些基因影响了川黑猪的猪生长特征. 这些发现为改善养猪策略和理解遗传机制提供了新的目标.
科学领域:
- 动物遗传学动物遗传学
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 生长特征对于养猪的经济价值至关重要,但它们的遗传基础仍然不完全理解.
- 川黑猪是一种以快速生长和优质肉类而闻名的杂交品种,研究了这些特征的遗传洞察力.
- 了解生长的遗传结构对于优化育种计划至关重要.
研究的目的:
- 确定与川黑猪经济重要生长特征相关的候选基因.
- 阐明这种品种的生长表现背后的分子遗传机制.
- 发现新的分子标,以提高养猪策略.
主要方法:
- 利用了从197只青川黑猪获得的低覆盖率的全基因组再测序数据.
- 通过使用FarmCPU模型对10个与生长相关的特征进行的全基因组协会研究 (GWAS).
- 整合全基因组和转录组分析以确定候选基因.
主要成果:
- 确定了371个与组织发育相关的蛋白质基因 (PSG) 和30,489,782个单核酸多态 (SNP).
- 发现了7个全基因组显著的SNP和8个与不同年龄段的体重,长度和身高相关的显著SNP.
- 确定了六个候选基因 (TENM3,CTNND2,RIMS1,PCDH7,ADGRL3,CTNNA3),可能会影响川黑猪的生长特征.
结论:
- 综合整基因组和转录组分析有效地识别了猪生长特征的候选基因.
- 已经确定了6个新的候选基因,这些基因可能对调节猪生长至关重要.
- 这项研究为推进养猪策略和通过阐明分子机制进行遗传研究提供了基础.
相关概念视频
Viral Recombination
23.1K
Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
23.1K
Single Nucleotide Polymorphisms-SNPs
13.7K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
13.7K
Genome-wide Association Studies-GWAS
12.2K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
12.2K


