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Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respir...

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respir...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7b247aeb74814d0c81d3834ff9c51a27

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

About this item

Full title

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-03, Vol.13 (1), p.3974-10, Article 3974

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

16S rRNA gene profiling, which contains nine hypervariable regions (V1–V9), is the gold standard for identifying taxonomic units by high-throughput sequencing. Microbiome studies combine two or more region sequences (usually V3–V4) to increase the resolving power for identifying bacterial taxa. We compare the resolving powers of V1–V2, V3–V4, V5–V7...

Alternative Titles

Full title

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7b247aeb74814d0c81d3834ff9c51a27

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7b247aeb74814d0c81d3834ff9c51a27

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-30764-z

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