Literature DB >> 29423794

Microbiome Sequencing Methods for Studying Human Diseases.

Rebecca M Davidson1, L Elaine Epperson2.   

Abstract

Over the last decade, biologists have come to appreciate that the human body is inhabited by thousands of bacterial species in diverse communities unique to each body site. Moreover, due to high-throughput sequencing methods for microbial characterization in a culture-independent manner, it is becoming evident that the microbiome plays an important role in human health and disease. This chapter focuses on the most common form of bacterial microbiome profiling, targeted amplicon sequencing of the 16S ribosomal RNA (rRNA) subunit encoded by 16S rDNA. We discuss important features for designing and performing microbiome experiments on human specimens, including experimental design, sample collection, DNA preparation, and selection of the 16S rDNA sequencing target. We also provide details for designing fusion primers required for targeted amplicon sequencing and selecting the most appropriate high-throughput sequencing platform. We conclude with a review of the fundamental concepts of data analysis and interpretation for these kinds of experiments. Our goal is to provide the reader with the essential knowledge needed to undertake microbiome experiments for application to human disease research questions.

Entities:  

Keywords:  16S rDNA; 16S rRNA; Bacteria; Microbiome; Targeted amplicon sequencing

Mesh:

Substances:

Year:  2018        PMID: 29423794     DOI: 10.1007/978-1-4939-7471-9_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  NetCoMi: network construction and comparison for microbiome data in R.

Authors:  Stefanie Peschel; Christian L Müller; Erika von Mutius; Anne-Laure Boulesteix; Martin Depner
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

2.  Genome reconstruction and haplotype phasing using chromosome conformation capture methodologies.

Authors:  Zhichao Xu; Jesse R Dixon
Journal:  Brief Funct Genomics       Date:  2020-03-23       Impact factor: 4.241

Review 3.  Review of otitis media microbiome studies: What do they tell us?

Authors:  Juan Carlos Nogues; Marcos Pérez-Losada; Diego Preciado
Journal:  Laryngoscope Investig Otolaryngol       Date:  2020-09-21

4.  Simultaneous detection and comprehensive analysis of HPV and microbiome status of a cervical liquid-based cytology sample using Nanopore MinION sequencing.

Authors:  Lili Quan; Ruyi Dong; Wenjuan Yang; Lanyou Chen; Jidong Lang; Jia Liu; Yu Song; Shuiqing Ma; Jialiang Yang; Weiwei Wang; Bo Meng; Geng Tian
Journal:  Sci Rep       Date:  2019-12-18       Impact factor: 4.379

5.  Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models.

Authors:  Javier Fernández; Manuel Fernández-Sanjurjo; Eduardo Iglesias-Gutiérrez; Pablo Martínez-Camblor; Claudio J Villar; Cristina Tomás-Zapico; Benjamin Fernández-García; Felipe Lombó
Journal:  Front Physiol       Date:  2021-12-24       Impact factor: 4.566

6.  In-Silico Detection of Oral Prokaryotic Species With Highly Similar 16S rRNA Sequence Segments Using Different Primer Pairs.

Authors:  Alba Regueira-Iglesias; Lara Vázquez-González; Carlos Balsa-Castro; Triana Blanco-Pintos; Benjamín Martín-Biedma; Víctor M Arce; Maria J Carreira; Inmaculada Tomás
Journal:  Front Cell Infect Microbiol       Date:  2022-02-09       Impact factor: 5.293

7.  Multiclass Disease Classification from Microbial Whole-Community Metagenomes.

Authors:  Saad Khan; Libusha Kelly
Journal:  Pac Symp Biocomput       Date:  2020

Review 8.  Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma.

Authors:  Marianthi Logotheti; Panagiotis Agioutantis; Paraskevi Katsaounou; Heleni Loutrari
Journal:  J Pers Med       Date:  2021-12-05
  8 in total

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