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环境基因与基因组:理解其分析方法和软件中的差异与挑战。

Environmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses.

作者信息

Zepeda Mendoza Marie Lisandra, Sicheritz-Pontén Thomas, Gilbert M Thomas P

出版信息

Brief Bioinform. 2015 Sep;16(5):745-58. doi: 10.1093/bib/bbv001. Epub 2015 Feb 11.

Abstract

DNA-based taxonomic and functional profiling is widely used for the characterization of organismal communities across a rapidly increasing array of research areas that include the role of microbiomes in health and disease, biomonitoring, and estimation of both microbial and metazoan species richness. Two principal approaches are currently used to assign taxonomy to DNA sequences: DNA metabarcoding and metagenomics. When initially developed, each of these approaches mandated their own particular methods for data analysis; however, with the development of high-throughput sequencing (HTS) techniques they have begun to share many aspects in data set generation and processing. In this review we aim to define the current characteristics, goals and boundaries of each field, and describe the different software used for their analysis. We argue that an appreciation of the potential and limitations of each method can help underscore the improvements required by each field so as to better exploit the richness of current HTS-based data sets.

摘要

基于DNA的分类学和功能谱分析被广泛用于表征一系列迅速增加的研究领域中的生物群落,这些领域包括微生物群落在健康和疾病中的作用、生物监测以及微生物和后生动物物种丰富度的估计。目前有两种主要方法用于将分类学信息赋予DNA序列:DNA元条形码分析和宏基因组学。最初开发时,每种方法都有其特定的数据分析方法;然而,随着高通量测序(HTS)技术的发展,它们在数据集生成和处理方面开始有许多共同之处。在本综述中,我们旨在定义每个领域的当前特征、目标和界限,并描述用于其分析的不同软件。我们认为,了解每种方法的潜力和局限性有助于强调每个领域所需的改进,以便更好地利用当前基于HTS的数据集的丰富性。

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