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本文引用的文献

1
Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries.分析并最小化 Illumina 测序文库中的 PCR 扩增偏倚。
Genome Biol. 2011;12(2):R18. doi: 10.1186/gb-2011-12-2-r18. Epub 2011 Feb 21.
2
Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition.通过高密度体外转座快速、低投入、低偏差构建鸟枪法片段文库。
Genome Biol. 2010;11(12):R119. doi: 10.1186/gb-2010-11-12-r119. Epub 2010 Dec 8.
3
Multiple displacement amplification compromises quantitative analysis of metagenomes.多重置换扩增会影响宏基因组的定量分析。
Nat Methods. 2010 Dec;7(12):943-4. doi: 10.1038/nmeth1210-943.
4
Unraveling the viral tapestry (from inside the capsid out).解开病毒结构全貌(从衣壳内部向外)。
ISME J. 2011 Feb;5(2):165-8. doi: 10.1038/ismej.2010.81. Epub 2010 Jun 17.
5
Metagenomic sequencing of an in vitro-simulated microbial community.微生物群落体外模拟的宏基因组测序。
PLoS One. 2010 Apr 16;5(4):e10209. doi: 10.1371/journal.pone.0010209.
6
Analysis of high-throughput sequencing and annotation strategies for phage genomes.噬菌体基因组高通量测序和注释策略分析。
PLoS One. 2010 Feb 5;5(2):e9083. doi: 10.1371/journal.pone.0009083.
7
Systematic overrepresentation of DNA termini and underrepresentation of subterminal regions among sequencing templates prepared from hydrodynamically sheared linear DNA molecules.从水力剪切线性 DNA 分子制备的测序模板中,存在 DNA 末端的系统过度表示和亚末端区域的表示不足。
BMC Genomics. 2010 Feb 2;11:87. doi: 10.1186/1471-2164-11-87.
8
Functional viral metagenomics and the next generation of molecular tools.功能病毒宏基因组学和下一代分子工具。
Trends Microbiol. 2010 Jan;18(1):20-9. doi: 10.1016/j.tim.2009.10.001. Epub 2009 Nov 5.
9
Amplification-free Illumina sequencing-library preparation facilitates improved mapping and assembly of (G+C)-biased genomes.无扩增的Illumina测序文库制备有助于改进(G+C)偏向基因组的映射和组装。
Nat Methods. 2009 Apr;6(4):291-5. doi: 10.1038/nmeth.1311. Epub 2009 Mar 15.
10
Assembly of viral metagenomes from yellowstone hot springs.黄石热泉中病毒宏基因组的组装
Appl Environ Microbiol. 2008 Jul;74(13):4164-74. doi: 10.1128/AEM.02598-07. Epub 2008 Apr 25.

评估一种转座酶方案,用于从纳克数量的 DNA 快速生成 shotgun 高通量测序文库。

Evaluation of a transposase protocol for rapid generation of shotgun high-throughput sequencing libraries from nanogram quantities of DNA.

机构信息

Delaware Biotechnology Institute, University of Delaware, Newark, DE 19711, USA.

出版信息

Appl Environ Microbiol. 2011 Nov;77(22):8071-9. doi: 10.1128/AEM.05610-11. Epub 2011 Sep 23.

DOI:10.1128/AEM.05610-11
PMID:21948828
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3209006/
Abstract

Construction of DNA fragment libraries for next-generation sequencing can prove challenging, especially for samples with low DNA yield. Protocols devised to circumvent the problems associated with low starting quantities of DNA can result in amplification biases that skew the distribution of genomes in metagenomic data. Moreover, sample throughput can be slow, as current library construction techniques are time-consuming. This study evaluated Nextera, a new transposon-based method that is designed for quick production of DNA fragment libraries from a small quantity of DNA. The sequence read distribution across nine phage genomes in a mock viral assemblage met predictions for six of the least-abundant phages; however, the rank order of the most abundant phages differed slightly from predictions. De novo genome assemblies from Nextera libraries provided long contigs spanning over half of the phage genome; in four cases where full-length genome sequences were available for comparison, consensus sequences were found to match over 99% of the genome with near-perfect identity. Analysis of areas of low and high sequence coverage within phage genomes indicated that GC content may influence coverage of sequences from Nextera libraries. Comparisons of phage genomes prepared using both Nextera and a standard 454 FLX Titanium library preparation protocol suggested that the coverage biases according to GC content observed within the Nextera libraries were largely attributable to bias in the Nextera protocol rather than to the 454 sequencing technology. Nevertheless, given suitable sequence coverage, the Nextera protocol produced high-quality data for genomic studies. For metagenomics analyses, effects of GC amplification bias would need to be considered; however, the library preparation standardization that Nextera provides should benefit comparative metagenomic analyses.

摘要

构建用于下一代测序的 DNA 片段文库可能具有挑战性,尤其是对于 DNA 产量低的样品。为解决与 DNA 起始量低相关的问题而设计的方案可能导致扩增偏差,从而使宏基因组数据中的基因组分布发生偏斜。此外,由于当前的文库构建技术耗时较长,因此样品通量可能较慢。本研究评估了 Nextera,这是一种新的基于转座子的方法,旨在快速从小量 DNA 中生成 DNA 片段文库。在模拟病毒组合中,九个噬菌体基因组的序列读取分布符合六种丰度最低的噬菌体的预测;然而,丰度最高的噬菌体的等级顺序与预测略有不同。来自 Nextera 文库的从头基因组组装提供了跨越噬菌体基因组一半以上的长连续序列;在四个情况下,有完整基因组序列可供比较,共识序列与基因组的匹配度超过 99%,几乎完全一致。对噬菌体基因组中低和高序列覆盖区域的分析表明,GC 含量可能会影响来自 Nextera 文库的序列覆盖。使用 Nextera 和标准 454 FLX Titanium 文库制备协议制备的噬菌体基因组的比较表明,Nextera 文库中观察到的根据 GC 含量的覆盖偏差主要归因于 Nextera 方案的偏差,而不是 454 测序技术的偏差。尽管如此,在适当的序列覆盖范围内,Nextera 方案可为基因组研究提供高质量的数据。对于宏基因组分析,需要考虑 GC 扩增偏差的影响;然而,Nextera 提供的文库制备标准化应有利于比较宏基因组分析。