Ultrahigh-Throughput Multiplexing and Sequencing of >500-Base-Pair Amplicon Regions on the Illumina HiSeq 2500 Platform.

16S RNA PCR amplicon sequencing ultrahigh throughput

Journal

mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636

Informations de publication

Date de publication:
Historique:
received: 18 01 2019
accepted: 23 01 2019
entrez: 26 2 2019
pubmed: 26 2 2019
medline: 26 2 2019
Statut: epublish

Résumé

Amplification, sequencing, and analysis of the 16S rRNA gene affords characterization of microbial community composition. As this tool has become more popular and amplicon-sequencing applications have grown in the total number of samples, growth in sample multiplexing is becoming necessary while maintaining high sequence quality and sequencing depth. Here, modifications to the Illumina HiSeq 2500 platform are described which produce greater multiplexing capabilities and 300-bp paired-end reads of higher quality than those produced by the current Illumina MiSeq platform. To improve the feasibility and flexibility of this method, a 2-step PCR amplification protocol is also described that allows for targeting of different amplicon regions, and enhances amplification success from samples with low bacterial bioburden.

Identifiants

pubmed: 30801027
doi: 10.1128/mSystems.00029-19
pii: mSystems00029-19
pmc: PMC6381223
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NINR NIH HHS
ID : R01 NR015495
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI084044
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI116799
Pays : United States
Organisme : NIAID NIH HHS
ID : F32 AI136400
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI089878
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI107224
Pays : United States

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Auteurs

Johanna B Holm (JB)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Michael S Humphrys (MS)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Courtney K Robinson (CK)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Matthew L Settles (ML)

Davis Genome Center, University of California, Davis, California, USA.

Sandra Ott (S)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Li Fu (L)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Hongqiu Yang (H)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Pawel Gajer (P)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Xin He (X)

Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, Maryland, USA.

Elias McComb (E)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Patti E Gravitt (PE)

Milken Institute School of Public Health, George Washington University, Washington, DC, USA.

Khalil G Ghanem (KG)

Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Rebecca M Brotman (RM)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Jacques Ravel (J)

Institute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Classifications MeSH