Suppr超能文献

线粒体 DNA 共识调用和质量过滤构建古人类线粒体基因组:两种广泛应用方法的比较。

Mitochondrial DNA Consensus Calling and Quality Filtering for Constructing Ancient Human Mitogenomes: Comparison of Two Widely Applied Methods.

机构信息

Department of Health Sciences, European University Cyprus, Diogenis Str. 6, Nicosia 2404, Cyprus.

Department of Archaeology, Durham University, South Road, Durham DH1 3LE, UK.

出版信息

Int J Mol Sci. 2022 Apr 22;23(9):4651. doi: 10.3390/ijms23094651.

Abstract

Retrieving high-quality endogenous ancient DNA (aDNA) poses several challenges, including low molecular copy number, high rates of fragmentation, damage at read termini, and potential presence of exogenous contaminant DNA. All these factors complicate a reliable reconstruction of consensus aDNA sequences in reads from high-throughput sequencing platforms. Here, we report findings from a thorough evaluation of two alternative tools (ANGSD and schmutzi) aimed at overcoming these issues and constructing high-quality ancient mitogenomes. Raw genomic data (BAM/FASTQ) from a total of 17 previously published whole ancient human genomes ranging from the 14th to the 7th millennium BCE were retrieved and mitochondrial consensus sequences were reconstructed using different quality filters, with their accuracy measured and compared. Moreover, the influence of different sequence parameters (number of reads, sequenced bases, mean coverage, and rate of deamination and contamination) as predictors of derived sequence quality was evaluated. Complete mitogenomes were successfully reconstructed for all ancient samples, and for the majority of them, filtering substantially improved mtDNA consensus calling and haplogroup prediction. Overall, the schmutzi pipeline, which estimates and takes into consideration exogenous contamination, appeared to have the edge over the much faster and user-friendly alternative method (ANGSD) in moderate to high coverage samples (>1,000,000 reads). ANGSD, however, through its read termini trimming filter, showed better capabilities in calling the consensus sequence from low-quality samples. Among all the predictors of overall sample quality examined, the strongest correlation was found for the available number of sequence reads and bases. In the process, we report a previously unassigned haplogroup (U3b) for an Early Chalcolithic individual from Southern Anatolia/Northern Levant.

摘要

从高质量的内源性古代 DNA(aDNA)中进行提取存在一些挑战,包括分子拷贝数低、高度碎片化、读取末端的损伤,以及潜在的外源污染物 DNA 的存在。所有这些因素都使从高通量测序平台的读取中可靠地重建共识 aDNA 序列变得复杂。在这里,我们报告了两种替代工具(ANGSD 和 schmutzi)的彻底评估结果,这些工具旨在克服这些问题并构建高质量的古代线粒体基因组。从 14 到 7 千年 BCE 的总共 17 个先前发表的全古代人类基因组的原始基因组数据(BAM/FASTQ)被检索出来,并使用不同的质量过滤器重建线粒体共识序列,测量和比较其准确性。此外,还评估了不同序列参数(读取数量、测序碱基、平均覆盖率以及脱氨和污染率)作为推导序列质量的预测因子的影响。所有古代样本的完整线粒体基因组都成功地重建,对于大多数样本来说,过滤大大提高了 mtDNA 共识调用和单倍群预测的准确性。总体而言,schmutzi 管道(估计并考虑了外源污染)似乎比更快且用户友好的替代方法(ANGSD)在中高覆盖率样本(>1,000,000 个读取)中具有优势。然而,ANGSD 通过其读取末端修剪过滤器,在调用低质量样本的共识序列方面显示出更好的能力。在所检查的所有样本质量预测因子中,相关性最强的是可用的序列读取数量和碱基数量。在此过程中,我们报告了一个以前未分配的单倍群(U3b),它来自于安纳托利亚南部/黎凡特北部的早期铜石并用时代个体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b560/9104972/3efa6439d4ec/ijms-23-04651-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验