RRC ID 75571
Author Jin J, Yamamoto R, Takeuchi T, Cui G, Miyauchi E, Hojo N, Ikuta K, Ohno H, Shiroguchi K.
Title High-throughput identification and quantification of single bacterial cells in the microbiota.
Journal Nat Commun
Abstract The bacterial microbiota works as a community that consists of many individual organisms, i.e., cells. To fully understand the function of bacterial microbiota, individual cells must be identified; however, it is difficult with current techniques. Here, we develop a method, Barcoding Bacteria for Identification and Quantification (BarBIQ), which classifies single bacterial cells into taxa-named herein cell-based operational taxonomy units (cOTUs)-based on cellularly barcoded 16S rRNA sequences with single-base accuracy, and quantifies the cell number for each cOTU in the microbiota in a high-throughput manner. We apply BarBIQ to murine cecal microbiotas and quantify in total 3.4 × 105 bacterial cells containing 810 cOTUs. Interestingly, we find location-dependent global differences in the cecal microbiota depending on the dietary vitamin A deficiency, and more differentially abundant cOTUs at the proximal location than the distal location. Importantly, these location differences are not clearly shown by conventional 16S rRNA gene-amplicon sequencing methods, which quantify the 16S rRNA genes, not the cells. Thus, BarBIQ enables microbiota characterization with the identification and quantification of individual constituent bacteria, which is a cornerstone for microbiota studies.
Volume 13(1)
Pages 863
Published 2022-2-22
DOI 10.1038/s41467-022-28426-1
PII 10.1038/s41467-022-28426-1
PMID 35194029
PMC PMC8863893
MeSH Animals Bacteria / genetics DNA, Bacterial / genetics High-Throughput Nucleotide Sequencing* / methods Mice Microbiota* / genetics RNA, Ribosomal, 16S / genetics Sequence Analysis, DNA
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