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Chapter 12: Human microbiome analysis.

基本信息

DOI:
10.1371/journal.pcbi.1002808
发表时间:
2012
影响因子:
4.3
通讯作者:
Huttenhower C
中科院分区:
生物学2区
文献类型:
Journal Article
作者: Morgan XC;Huttenhower C研究方向: -- MeSH主题词: --
关键词: --
来源链接:pubmed详情页地址

文献摘要

Humans are essentially sterile during gestation, but during and after birth, every body surface, including the skin, mouth, and gut, becomes host to an enormous variety of microbes, bacterial, archaeal, fungal, and viral. Under normal circumstances, these microbes help us to digest our food and to maintain our immune systems, but dysfunction of the human microbiota has been linked to conditions ranging from inflammatory bowel disease to antibiotic-resistant infections. Modern high-throughput sequencing and bioinformatic tools provide a powerful means of understanding the contribution of the human microbiome to health and its potential as a target for therapeutic interventions. This chapter will first discuss the historical origins of microbiome studies and methods for determining the ecological diversity of a microbial community. Next, it will introduce shotgun sequencing technologies such as metagenomics and metatranscriptomics, the computational challenges and methods associated with these data, and how they enable microbiome analysis. Finally, it will conclude with examples of the functional genomics of the human microbiome and its influences upon health and disease.
在妊娠期,人类本质上是无菌的,但在出生期间和出生之后,包括皮肤、口腔和肠道在内的每个身体表面都会成为种类繁多的微生物(细菌、古菌、真菌和病毒)的宿主。在正常情况下,这些微生物帮助我们消化食物并维持免疫系统,但人类微生物群落的功能失调与从炎症性肠病到抗生素耐药性感染等多种疾病有关。现代高通量测序和生物信息学工具为理解人类微生物组对健康的贡献及其作为治疗干预靶点的潜力提供了有力手段。本章将首先讨论微生物组研究的历史起源以及确定微生物群落生态多样性的方法。接下来,将介绍鸟枪法测序技术,如宏基因组学和宏转录组学,与这些数据相关的计算挑战和方法,以及它们如何实现微生物组分析。最后,将以人类微生物组的功能基因组学及其对健康和疾病的影响的实例作为结尾。
参考文献(0)
被引文献(0)
The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.
DOI:
10.1093/nar/gkp875
发表时间:
2010-01
期刊:
Nucleic acids research
影响因子:
14.9
作者:
Caspi R;Altman T;Dale JM;Dreher K;Fulcher CA;Gilham F;Kaipa P;Karthikeyan AS;Kothari A;Krummenacker M;Latendresse M;Mueller LA;Paley S;Popescu L;Pujar A;Shearer AG;Zhang P;Karp PD
通讯作者:
Karp PD
Microbial diversity and the genetic nature of microbial species
DOI:
10.1038/nrmicro1872
发表时间:
2008-06-01
期刊:
NATURE REVIEWS MICROBIOLOGY
影响因子:
88.1
作者:
Achtman, Mark;Wagner, Michael
通讯作者:
Wagner, Michael
Bioinformatics for whole-genome shotgun sequencing of microbial communities.
DOI:
10.1371/journal.pcbi.0010024
发表时间:
2005-07
期刊:
PLoS computational biology
影响因子:
4.3
作者:
Chen K;Pachter L
通讯作者:
Pachter L
QIIME allows analysis of high-throughput community sequencing data.
DOI:
10.1038/nmeth.f.303
发表时间:
2010-05
期刊:
NATURE METHODS
影响因子:
48
作者:
Caporaso, J. Gregory;Kuczynski, Justin;Stombaugh, Jesse;Bittinger, Kyle;Bushman, Frederic D.;Costello, Elizabeth K.;Fierer, Noah;Pena, Antonio Gonzalez;Goodrich, Julia K.;Gordon, Jeffrey I.;Huttley, Gavin A.;Kelley, Scott T.;Knights, Dan;Koenig, Jeremy E.;Ley, Ruth E.;Lozupone, Catherine A.;McDonald, Daniel;Muegge, Brian D.;Pirrung, Meg;Reeder, Jens;Sevinsky, Joel R.;Tumbaugh, Peter J.;Walters, William A.;Widmann, Jeremy;Yatsunenko, Tanya;Zaneveld, Jesse;Knight, Rob
通讯作者:
Knight, Rob
Phymm and PhymmBL: metagenomic phylogenetic classification with interpolated Markov models.
DOI:
10.1038/nmeth.1358
发表时间:
2009-09
期刊:
NATURE METHODS
影响因子:
48
作者:
Brady, Arthur;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.

数据更新时间:{{ references.updateTime }}

关联基金

Functional activity and inter-organismal interactions in the human microbiome
批准号:
8537085
批准年份:
2010
资助金额:
13.99
项目类别:
Huttenhower C
通讯地址:
--
所属机构:
--
电子邮件地址:
--
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