Next-Generation Sequencing: A Review of Technologies and Tools for Wound Microbiome Research

被引:78
作者
Hodkinson, Brendan P. [1 ]
Grice, Elizabeth A. [1 ]
机构
[1] Univ Penn, Perelman Sch Med, Dept Dermatol, Philadelphia, PA 19104 USA
关键词
ASSEMBLER; COMMUNITIES; RESOURCE; GUT;
D O I
10.1089/wound.2014.0542
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Significance: The colonization of wounds by specific microbes or communities of microbes may delay healing and/or lead to infection-related complication. Studies of wound-associated microbial communities (microbiomes) to date have primarily relied upon culture-based methods, which are known to have extreme biases and are not reliable for the characterization of microbiomes. Biofilms are very resistant to culture and are therefore especially difficult to study with techniques that remain standard in clinical settings. Recent Advances: Culture-independent approaches employing next-generation DNA sequencing have provided researchers and clinicians a window into wound-associated microbiomes that could not be achieved before and has begun to transform our view of wound-associated biodiversity. Within the past decade, many platforms have arisen for performing this type of sequencing, with various types of applications for microbiome research being possible on each. Critical Issues: Wound care incorporating knowledge of microbiomes gained from next-generation sequencing could guide clinical management and treatments. The purpose of this review is to outline the current platforms, their applications, and the steps necessary to undertake microbiome studies using next-generation sequencing. Future Directions: As DNA sequencing technology progresses, platforms will continue to produce longer reads and more reads per run at lower costs. A major future challenge is to implement these technologies in clinical settings for more precise and rapid identification of wound bioburden.
引用
收藏
页码:50 / 58
页数:9
相关论文
共 47 条
[1]   CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing [J].
Angiuoli, Samuel V. ;
Matalka, Malcolm ;
Gussman, Aaron ;
Galens, Kevin ;
Vangala, Mahesh ;
Riley, David R. ;
Arze, Cesar ;
White, James R. ;
White, Owen ;
Fricke, W. Florian .
BMC BIOINFORMATICS, 2011, 12
[2]  
[Anonymous], ARXIV 2013
[3]  
[Anonymous], NEXT GENERATION SEQU
[4]  
[Anonymous], SOLIDTM SEQUENCING 2
[5]   Accurate whole human genome sequencing using reversible terminator chemistry [J].
Bentley, David R. ;
Balasubramanian, Shankar ;
Swerdlow, Harold P. ;
Smith, Geoffrey P. ;
Milton, John ;
Brown, Clive G. ;
Hall, Kevin P. ;
Evers, Dirk J. ;
Barnes, Colin L. ;
Bignell, Helen R. ;
Boutell, Jonathan M. ;
Bryant, Jason ;
Carter, Richard J. ;
Cheetham, R. Keira ;
Cox, Anthony J. ;
Ellis, Darren J. ;
Flatbush, Michael R. ;
Gormley, Niall A. ;
Humphray, Sean J. ;
Irving, Leslie J. ;
Karbelashvili, Mirian S. ;
Kirk, Scott M. ;
Li, Heng ;
Liu, Xiaohai ;
Maisinger, Klaus S. ;
Murray, Lisa J. ;
Obradovic, Bojan ;
Ost, Tobias ;
Parkinson, Michael L. ;
Pratt, Mark R. ;
Rasolonjatovo, Isabelle M. J. ;
Reed, Mark T. ;
Rigatti, Roberto ;
Rodighiero, Chiara ;
Ross, Mark T. ;
Sabot, Andrea ;
Sankar, Subramanian V. ;
Scally, Aylwyn ;
Schroth, Gary P. ;
Smith, Mark E. ;
Smith, Vincent P. ;
Spiridou, Anastassia ;
Torrance, Peta E. ;
Tzonev, Svilen S. ;
Vermaas, Eric H. ;
Walter, Klaudia ;
Wu, Xiaolin ;
Zhang, Lu ;
Alam, Mohammed D. ;
Anastasi, Carole .
NATURE, 2008, 456 (7218) :53-59
[6]   Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms [J].
Caporaso, J. Gregory ;
Lauber, Christian L. ;
Walters, William A. ;
Berg-Lyons, Donna ;
Huntley, James ;
Fierer, Noah ;
Owens, Sarah M. ;
Betley, Jason ;
Fraser, Louise ;
Bauer, Markus ;
Gormley, Niall ;
Gilbert, Jack A. ;
Smith, Geoff ;
Knight, Rob .
ISME JOURNAL, 2012, 6 (08) :1621-1624
[7]   QIIME allows analysis of high-throughput community sequencing data [J].
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 .
NATURE METHODS, 2010, 7 (05) :335-336
[8]   Blast2GO:: a universal tool for annotation, visualization and analysis in functional genomics research [J].
Conesa, A ;
Götz, S ;
García-Gómez, JM ;
Terol, J ;
Talón, M ;
Robles, M .
BIOINFORMATICS, 2005, 21 (18) :3674-3676
[9]   A tool kit for quantifying eukaryotic rRNA gene sequences from human microbiome samples [J].
Dollive, Serena ;
Peterfreund, Gregory L. ;
Sherrill-Mix, Scott ;
Bittinger, Kyle ;
Sinha, Rohini ;
Hoffmann, Christian ;
Nabel, Christopher S. ;
Hill, David A. ;
Artis, David ;
Bachman, Michael A. ;
Custers-Allen, Rebecca ;
Grunberg, Stephanie ;
Wu, Gary D. ;
Lewis, James D. ;
Bushman, Frederic D. .
GENOME BIOLOGY, 2012, 13 (07) :R60
[10]   UCHIME improves sensitivity and speed of chimera detection [J].
Edgar, Robert C. ;
Haas, Brian J. ;
Clemente, Jose C. ;
Quince, Christopher ;
Knight, Rob .
BIOINFORMATICS, 2011, 27 (16) :2194-2200