一个深度学习策略,通过SNP芯片准确识别纯种和杂交猪
Zipeng Zhang1,2,3, Zhengwen Fang2, Yongwang Du2
1State Key Laboratory of Animal Biotech Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture and Rural Affairs, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Journal of animal science and biotechnology
|August 14, 2025
概括
一个新的多层感知器 (MLP) 模型使用基因组数据准确识别猪品种,包括杂交品种. 这种方法通过在各种SNP芯片密度中实现100%的准确性来增强品种保护和遗传资源管理.
科学领域:
- 动物遗传学动物遗传学
- 生物信息学是一种生物信息学.
- 机器学习在动物育种中的应用
背景情况:
- 准确的品种识别对于畜牧业的保护和遗传资源管理至关重要.
- 现有的方法在杂交品种识别方面存在困难,需要改进预测模型.
- 基因组数据为纯种和杂交牲畜中精确的品种组成预测提供了潜力.
研究的目的:
- 开发和评估一种新的多层感知器 (MLP) 模型,用于基因组品种组成预测.
- 具体来解决在纯种和杂交猪中准确识别品种的挑战.
- 将MLP模型的性能与现有的方法比较,例如随机森林 (RF),支持向量回归 (SVR) 和混合物.
主要方法:
- 利用了8,199头猪 (约克郡,兰德雷斯,杜洛克及其杂交品种) 的基因组数据,用1K,50K和100K SNP芯片进行基因型化.
- 开发了一种具有多输出回归框架的多层感知子 (MLP) 模型.
- 进行了5次复制的5倍交叉验证和独立测试,以评估模型准确性.
主要成果:
- 在50K和100KSNP芯片中,MLP模型在纯种和杂交猪中实现了100%的准确性.
- MLP的表现优于RF和Admixture,而SVR的表现也相似.
- 多输出回归框架提高了各种SNP芯片密度的预测准确性,特别是混合识别.
结论:
- 该MLP策略在低,中,高密度SNP芯片中显示出高精度和适用性.
- 多输出回归框架普遍提高机器学习方法的预测准确性.
- 这种新的策略有望改善其他牲畜物种的品种识别.
相关概念视频
02:26Comparing Copy Number Variations and SNPs
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
01:05Single Nucleotide Polymorphisms-SNPs
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,...