{"title":"Pangenome graph mitigates heterozygosity overestimation from mapping bias: a case study in Chinese indigenous pigs.","authors":"Jian Miao, Qingyu Wang, Zhe Zhang, Qishan Wang, Yuchun Pan, Zhen Wang","doi":"10.1186/s12915-025-02194-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Breeds genetically distant from the reference genome often show considerable differences in DNA fragments, making it difficult to achieve accurate mappings. The genetic differences between pig reference genome (Sscrofa11.1) and Chinese indigenous pigs may lead to mapping bias and affect subsequent analyses.</p><p><strong>Results: </strong>Our analysis revealed that pangenome exhibited superior mapping accuracy to the Sscrofa11.1, reducing false-positive mappings by 1.4% and erroneous mappings by 0.8%. Furthermore, the pangenome yielded more accurate genotypes of SNP (F1: 0.9660 vs. 0.9607) and INDEL (F1: 0.9226 vs. 0.9222) compared to Sscrofa11.1. In real sequencing data, the inconsistent SNPs called from the pangenome exhibited lower genome heterozygosity compared to those identified by the Sscrofa11.1, including observed heterozygosity and nucleotide diversity. The same reduction of heterozygosity overestimation was also found in the chicken pangenome.</p><p><strong>Conclusions: </strong>This study quantifies the mapping bias of Sscrofa11.1 in Chinese indigenous pigs, demonstrating that mapping bias can lead to an overestimation of heterozygosity in Chinese indigenous pig breeds. The adoption of a pig pangenome mitigates this bias and provides a more accurate representation of genetic diversity in these populations.</p>","PeriodicalId":9339,"journal":{"name":"BMC Biology","volume":"23 1","pages":"89"},"PeriodicalIF":4.5000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948684/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12915-025-02194-y","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Breeds genetically distant from the reference genome often show considerable differences in DNA fragments, making it difficult to achieve accurate mappings. The genetic differences between pig reference genome (Sscrofa11.1) and Chinese indigenous pigs may lead to mapping bias and affect subsequent analyses.
Results: Our analysis revealed that pangenome exhibited superior mapping accuracy to the Sscrofa11.1, reducing false-positive mappings by 1.4% and erroneous mappings by 0.8%. Furthermore, the pangenome yielded more accurate genotypes of SNP (F1: 0.9660 vs. 0.9607) and INDEL (F1: 0.9226 vs. 0.9222) compared to Sscrofa11.1. In real sequencing data, the inconsistent SNPs called from the pangenome exhibited lower genome heterozygosity compared to those identified by the Sscrofa11.1, including observed heterozygosity and nucleotide diversity. The same reduction of heterozygosity overestimation was also found in the chicken pangenome.
Conclusions: This study quantifies the mapping bias of Sscrofa11.1 in Chinese indigenous pigs, demonstrating that mapping bias can lead to an overestimation of heterozygosity in Chinese indigenous pig breeds. The adoption of a pig pangenome mitigates this bias and provides a more accurate representation of genetic diversity in these populations.
背景:遗传上远离参考基因组的品种往往在DNA片段上表现出相当大的差异,这使得难以实现准确的映射。猪参考基因组(Sscrofa11.1)与中国本土猪之间的遗传差异可能导致作图偏差并影响后续分析。结果:我们的分析显示,泛基因组对Sscrofa11.1具有优越的定位精度,减少了1.4%的假阳性映射和0.8%的错误映射。此外,与Sscrofa11.1相比,泛基因组获得了更准确的SNP (F1: 0.9660 vs. 0.9607)和INDEL (F1: 0.9226 vs. 0.9222)基因型。在实际测序数据中,与sscrofa11鉴定的snp相比,从泛基因组中提取的不一致snp表现出较低的基因组杂合性,包括观察到的杂合性和核苷酸多样性。在鸡泛基因组中也发现了同样的杂合性高估的减少。结论:本研究量化了Sscrofa11.1在中国本土猪中的定位偏差,表明定位偏差可能导致对中国本土猪品种杂合度的高估。猪全基因组的采用减轻了这种偏见,并提供了这些群体遗传多样性的更准确的代表。
期刊介绍:
BMC Biology is a broad scope journal covering all areas of biology. Our content includes research articles, new methods and tools. BMC Biology also publishes reviews, Q&A, and commentaries.