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高通量定量分析使用 SmartChip 实时 PCR 系统与 RDX 生物降解相关的功能基因。

High throughput quantification of the functional genes associated with RDX biodegradation using the SmartChip real-time PCR system.

机构信息

Department of Civil and Environmental Engineering, Michigan State University, A135, 1449 Engineering Research Court, East Lansing, MI, 48824, USA.

Department of Plant, Soil and Microbial Sciences, Plant and Soil Sciences Building, 1066 Bogue St., East Lansing, MI, 48824, USA.

出版信息

Appl Microbiol Biotechnol. 2019 Sep;103(17):7161-7175. doi: 10.1007/s00253-019-10022-x. Epub 2019 Jul 27.

Abstract

The explosive hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) is a contaminant at many military sites. RDX bioremediation as a clean-up approach has been gaining popularity because of cost benefits compared to other methods. RDX biodegradation has primarily been linked to six functional genes (diaA, nfsI, pnrB, xenA, xenB, xplA). However, current methods for gene quantification have the risk of false negative results because of low theoretical primer coverage. To address this, the current study designed new primer sets using the EcoFunPrimer tool based on sequences collected by the Functional Gene Pipeline and Repository and these were verified based on residues and motifs. The primers were also designed to be compatible with the SmartChip Real-Time PCR system, a massively parallel singleplex PCR platform (high throughput qPCR), that enables quantitative gene analysis using 5,184 simultaneous reactions on a single chip with low volumes of reagents. This allows multiple genes and/or multiple primer sets for a single gene to be used with multiple samples. Following primer design, the six genes were quantified in RDX-contaminated groundwater (before and after biostimulation), RDX-contaminated sediment, and uncontaminated samples. The final 49 newly designed primer sets improved upon the theoretical coverage of published primer sets, and this corresponded to more detections in the environmental samples. All genes, except diaA, were detected in the environmental samples, with xenA and xenB being the most predominant. In the sediment samples, nfsI was the only gene detected. The new approach provides a more comprehensive tool for understanding RDX biodegradation potential at contaminated sites.

摘要

六氢-1,3,5-三硝基-1,3,5-三嗪(RDX)是许多军事场所的污染物。与其他方法相比,RDX 生物修复作为一种清洁方法具有成本效益,因此越来越受欢迎。RDX 生物降解主要与六个功能基因(diaA、nfsI、pnrB、xenA、xenB、xplA)有关。然而,由于理论引物覆盖率低,当前的基因定量方法存在假阴性结果的风险。为了解决这个问题,本研究使用基于功能基因管道和存储库收集的序列的 EcoFunPrimer 工具设计了新的引物组,这些引物组基于残基和基序进行了验证。这些引物还设计为与 SmartChip 实时 PCR 系统兼容,这是一种大规模并行单重 PCR 平台(高通量 qPCR),可在单个芯片上使用 5,184 个同时反应进行定量基因分析,试剂用量低。这允许对多个基因和/或单个基因的多个引物组进行多个样本的使用。在进行引物设计后,在 RDX 污染地下水(生物刺激前后)、RDX 污染沉积物和未污染样品中定量了六个基因。最终设计的 49 个新引物组提高了已发表引物组的理论覆盖率,并且这对应于环境样品中更多的检测。除了 diaA 之外,所有基因都在环境样品中检测到,其中 xenA 和 xenB 是最主要的。在沉积物样品中,唯一检测到的基因是 nfsI。新方法为了解污染地点 RDX 生物降解潜力提供了更全面的工具。

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