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Choosing the Best Plant for the Job: A Cost-Effective Assay to Prescreen Ancient Plant Remains Destined for Shotgun Sequencing

机译:选择最佳的工厂作业:成本效益分析以预审古代植物遗存往鸟枪法测序

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摘要

DNA extracted from ancient plant remains almost always contains a mixture of endogenous (that is, derived from the plant) and exogenous (derived from other sources) DNA. The exogenous ‘contaminant’ DNA, chiefly derived from microorganisms, presents significant problems for shotgun sequencing. In some samples, more than 90% of the recovered sequences are exogenous, providing limited data relevant to the sample. However, other samples have far less contamination and subsequently yield much more useful data via shotgun sequencing. Given the investment required for high-throughput sequencing, whenever multiple samples are available, it is most economical to sequence the least contaminated sample. We present an assay based on quantitative real-time PCR which estimates the relative amounts of fungal and bacterial DNA in a sample in comparison to the endogenous plant DNA. Given a collection of contextually-similar ancient plant samples, this low cost assay aids in selecting the best sample for shotgun sequencing.
机译:从古代植物遗骸中提取的DNA几乎总是包含内源(即源自植物)和外源(源自其他来源)DNA的混合物。主要来自微生物的外源“污染物” DNA为shot弹枪测序带来了重大问题。在某些样品中,超过90%的回收序列是外源的,提供了与样品有关的有限数据。但是,其他样品的污染要少得多,随后通过shot弹枪测序可以得到更多有用的数据。鉴于高通量测序所需的投资,每当有多个样品可用时,对污染最少的样品进行测序最经济。我们提出了一种基于定量实时PCR的检测方法,该方法可估计与内源植物DNA相比样品中真菌和细菌DNA的相对量。鉴于上下文相关的古代植物样品的收集,这种低成本的测定有助于选择最佳的样品进行shot弹枪测序。

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