全球地图,用于人类内进的结构变异和选择
PingHsun Hsieh1,2,3, Natthapon Soisangwan3, David S Gordon1
1Department of Genetics, Cell Biology, and Development, University of Minnesota, Twin Cities, MN, USA.
bioRxiv : the preprint server for biology
|July 16, 2025
概括
来自尼安德特人和丹尼索瓦人的古老结构变体 (SV) 在现代人类基因组中发现,特别是在巴布亚新几内亚. 这些内进的SVs影响基因和中间体,可能会推动人类的适应.
科学领域:
- 人类进化基因组学
- 人口遗传学 人口遗传学
- 古代DNA研究研究古老的DNA.
背景情况:
- 现代人类基因组含有从尼安德特人和丹尼索瓦人等古老的原始人群中进化的遗传物质.
- 发现内进结构变异 (SVs),定义为≥50个基数对,带来了重大的技术挑战.
研究的目的:
- 通过整合新的和现有的基因组组合,创建古老的内进型SVs的全面地图.
- 调查这些内进的SVs在不同的人群中的分布,功能影响和适应意义.
主要方法:
- 从四个巴布亚新几内亚 (PNG) 个体中集成高质量的分阶段基因组组合,与94个公开可用的组合.
- 使用比较基因组学方法推断一个古老的进化SV地图.
- 在1363个样本中进行泛基因组基因定型,以确定候选适应性SVs.
主要成果:
- 创建了一个古老的内向SV的地图,显示了基因 (44%) 和关键基因组疾病区域的丰富.
- 发现入侵性SV在PNG人口中最为丰富.
- 确定了11个可能具有古老起源的中间体,以及PNG的16个候选适应性SV,其中许多与免疫基因有关.
结论:
- 古老的SV侵入是人类基因组多样性的重要组成部分,特别是在像PNG这样的某些地区.
- 内进的SV,包括新型的中心体结构,在现代人类中具有功能性和潜在的适应性作用.
- 古老的内进,特别是SVs,可能在人类的繁殖成功和适应性进化中发挥了重要作用.
相关概念视频
Genetic Variation
395
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
Genes exist in different versions called alleles,...
395
Human Genetics
732
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
The complex relationship between genetics and psychology is observable through common biological components such...
732
Evolutionary Relationships through Genome Comparisons
6.2K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.2K
Comparing Copy Number Variations and SNPs
17.9K
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%...
17.9K
Single Nucleotide Polymorphisms-SNPs
15.9K
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,...
15.9K
Genome-wide Association Studies-GWAS
14.3K
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...
14.3K


