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用于高通量测序的长片段DNA捕获杂交

Capture Hybridization of Long-Range DNA Fragments for High-Throughput Sequencing.

作者信息

Chen Xing, Ni Gang, He Kai, Ding Zhao-Li, Li Gui-Mei, Adeola Adeniyi C, Murphy Robert W, Wang Wen-Zhi, Zhang Ya-Ping

机构信息

State Key Laboratory of Genetic Resources and Evolution, Kunming, Yunnan, China.

Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming, Yunnan, China.

出版信息

Methods Mol Biol. 2018;1754:29-44. doi: 10.1007/978-1-4939-7717-8_3.

Abstract

Capture hybridization coupled with high-throughput sequencing (HTS) has become one of the most popular approaches to address some scientific problems not only for fundamental evolution but also for ecology and human disease in recent years. However, the technical problem of limited probe capture ability affects its widespread application. Here, we propose to capture hybridize long-range DNA fragments for HTS (termed LR-LCH). We provide a case of three amphibian samples to examine LR-LCH with 2 kb libraries and comparison of standard capture hybridization with 480 bp libraries. Capture sensitivity increased from an average 13.57% of standard capture hybridization to an average 19.80% of LR-LCH; capture efficiency also increased from an average 72.56% of standard capture hybridization to an average 97.71% of LR-LCH. These indicate that longer fragments in the library generally contain both relatively variable regions and relatively conservative regions. The divergent parts of target DNA are enriched along with conservative parts of DNA sequence that effectively captured during hybridization. We present a protocol that allows users to overcome the low capture sensitivity problem for high divergent regions.

摘要

近年来,捕获杂交结合高通量测序(HTS)已成为解决一些科学问题的最流行方法之一,这些问题不仅涉及基础进化,还包括生态学和人类疾病。然而,探针捕获能力有限的技术问题影响了其广泛应用。在此,我们提出用于HTS的捕获杂交长片段DNA(称为LR-LCH)。我们提供了一个用三个两栖动物样本检测2kb文库的LR-LCH以及与480bp文库标准捕获杂交比较的案例。捕获灵敏度从标准捕获杂交的平均13.57%提高到LR-LCH的平均19.80%;捕获效率也从标准捕获杂交的平均72.56%提高到LR-LCH的平均97.71%。这些表明文库中较长片段通常同时包含相对可变区域和相对保守区域。目标DNA的差异部分与杂交过程中有效捕获的DNA序列保守部分一起富集。我们提出了一个方案,可让用户克服高差异区域捕获灵敏度低的问题。

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