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通过 Knockout Sudoku 快速构建 Shewanella oneidensis 的全基因组转座子插入物集合。

Rapid construction of a whole-genome transposon insertion collection for Shewanella oneidensis by Knockout Sudoku.

机构信息

Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA.

Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.

出版信息

Nat Commun. 2016 Nov 10;7:13270. doi: 10.1038/ncomms13270.

Abstract

Whole-genome knockout collections are invaluable for connecting gene sequence to function, yet traditionally, their construction has required an extraordinary technical effort. Here we report a method for the construction and purification of a curated whole-genome collection of single-gene transposon disruption mutants termed Knockout Sudoku. Using simple combinatorial pooling, a highly oversampled collection of mutants is condensed into a next-generation sequencing library in a single day, a 30- to 100-fold improvement over prior methods. The identities of the mutants in the collection are then solved by a probabilistic algorithm that uses internal self-consistency within the sequencing data set, followed by rapid algorithmically guided condensation to a minimal representative set of mutants, validation, and curation. Starting from a progenitor collection of 39,918 mutants, we compile a quality-controlled knockout collection of the electroactive microbe Shewanella oneidensis MR-1 containing representatives for 3,667 genes that is functionally validated by high-throughput kinetic measurements of quinone reduction.

摘要

全基因组敲除(gene knockout)文库对于将基因序列与功能联系起来非常重要,但传统上,其构建需要非凡的技术努力。在这里,我们报告了一种构建和纯化经精心编辑的全基因组单转座子缺失突变体文库的方法,称为 Knockout Sudoku。使用简单的组合池化(combinatorial pooling),在一天内就可以将高度过采样的突变体库浓缩到下一代测序文库中,与之前的方法相比,速度提高了 30 到 100 倍。然后,通过使用测序数据集内部的内部自一致性的概率算法来解决文库中突变体的身份,随后快速算法引导浓缩到最小代表性突变体集、验证和编辑。从一个 39918 个突变体的原始文库开始,我们编译了一个经过质量控制的电活性微生物 Shewanella oneidensis MR-1 的基因敲除文库,其中包含 3667 个基因的代表,这些基因通过高通量醌还原动力学测量进行功能验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/5109470/d9fb68bb8b3d/ncomms13270-f1.jpg

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