作者: Amélia Camarinha-Silva , W. Florian Fricke
DOI: 10.1007/978-3-319-90545-7_4
关键词: Microbiome 、 Computational biology 、 Biology 、 Sample collection 、 Sequence analysis 、 Ribosomal RNA 、 Massive parallel sequencing 、 Amplicon 、 Metagenomics 、 Shotgun sequencing
摘要: Traditional microbiological research largely depends on the cultivation and characterization of microorganisms under laboratory conditions. However, with establishment new sequencing-based methods over last two decades that expanded accessible fraction microbiota to non-cultivable members, microbiome has gained significant momentum popularity. Today, next-generation sequencing allows even smaller groups carry out massively parallel at affordable costs. Selective amplification universal phylogenetic marker genes such as those small subunit ribosomal RNA still represent a cornerstone taxonomic composition analysis is typically used describe compare samples. At same time, shotgun metagenomes all members microbial community becoming increasingly popular more expensive but also comprehensive alternative amplicon sequencing. Both approaches generate large amounts sequence data, which require bioinformatic support for processing, analysis, visualization. The following chapter provides an overview typical steps involved in projects, starting from sample collection storage, 16S rRNA other gene amplification, amplicon, metagenome analysis.