High-throughput identification and quantification of bacterial cells in the microbiota based on 16S rRNA sequencing with single-base accuracy using BarBIQ-Reference-Cited by-同舟云学术

High-throughput identification and quantification of bacterial cells in the microbiota based on 16S rRNA sequencing with single-base accuracy using BarBIQ

Published:2023-11-27 Issue:1 Volume:19 Page:207-239
ISSN:1754-2189
Container-title:Nature Protocols
language:en
Short-container-title:Nat Protoc

Author:

Jin Jianshi^ORCID,Yamamoto Reiko,Shiroguchi Katsuyuki^ORCID

Funder

MEXT | JST | Precursory Research for Embryonic Science and Technology

Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering

MEXT | Japan Society for the Promotion of Science

Incentive Research Project from RIKEN

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology

Link

https://www.nature.com/articles/s41596-023-00906-8.pdf

Reference31 articles.

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3. Chen, Y. E., Fischbach, M. A. & Belkaid, Y. Skin microbiota–host interactions. Nature 553, 427–436 (2018).

4. Trevathan-Tackett, S. M. et al. A horizon scan of priorities for coastal marine microbiome research. Nat. Ecol. Evol. 3, 1509–1520 (2019).

5. Jansson, J. K. & Hofmockel, K. S. The soil microbiome—from metagenomics to metaphenomics. Curr. Opin. Microbiol. 43, 162–168 (2018).

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