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基于宏基因组学的植物与多种微生物相互作用的搜索策略。

Metagenomic search strategies for interactions among plants and multiple microbes.

机构信息

Department of Biochemistry and Molecular Biology, Oklahoma State University Stillwater, OK, USA.

Foreign Disease-Weed Science Research Unit, United States Department of Agriculture - Agricultural Research Service Fort Detrick, MD, USA.

出版信息

Front Plant Sci. 2014 Jun 11;5:268. doi: 10.3389/fpls.2014.00268. eCollection 2014.

DOI:10.3389/fpls.2014.00268
PMID:24966863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4052219/
Abstract

Plants harbor multiple microbes. Metagenomics can facilitate understanding of the significance, for the plant, of the microbes, and of the interactions among them. However, current approaches to metagenomic analysis of plants are computationally time consuming. Efforts to speed the discovery process include improvement of computational speed, condensing the sequencing reads into smaller datasets before BLAST searches, simplifying the target database of BLAST searches, and flipping the roles of metagenomic and reference datasets. The latter is exemplified by the e-probe diagnostic nucleic acid analysis approach originally devised for improving analysis during plant quarantine.

摘要

植物体内栖息着多种微生物。宏基因组学可以帮助人们了解微生物对植物的重要性以及它们之间的相互作用。然而,目前对植物进行宏基因组分析的方法在计算上耗时耗力。为了加快发现过程,人们做出了各种努力,包括提高计算速度、在 BLAST 搜索之前将测序读段压缩成较小的数据集、简化 BLAST 搜索的目标数据库,以及反转宏基因组和参考数据集的角色。后一种方法的一个例子是 e-probe 诊断核酸分析方法,最初是为了在植物检疫期间改进分析而设计的。