Title High throughput single cell metagenomic sequencing with semi-permeable capsules: unraveling microbial diversity at the single-cell level in sewage and fecal microbiomes /
Authors Ling, Meilee ; Szarvas, Judit ; Kurmauskaitė, Vaida ; Kiseliovas, Vaidotas ; Žilionis, Rapolas ; Avot, Baptiste ; Munk, Patrick ; Aarestrup, Frank M
DOI 10.3389/fmicb.2024.1516656
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Is Part of Frontiers in microbiology.. Lausanne : Frontiers Media SA. 2024, vol. 15, p. [1-13].. eISSN 1664-302X
Keywords [eng] antimicrobial resistance (AMR) ; metagenomics ; microbial diversity ; pig fecal sample ; sewage ; single cell sequencing
Abstract [eng] Single-cell sequencing may serve as a powerful complementary technique to shotgun metagenomics to study microbiomes. This emerging technology allows the separation of complex microbial communities into individual bacterial cells, enabling high-throughput sequencing of genetic material from thousands of singular bacterial cells in parallel. Here, we validated the use of microfluidics and semi-permeable capsules (SPCs) technology (Atrandi) to isolate individual bacterial cells from sewage and pig fecal samples. Our method involves extracting and amplifying single bacterial DNA within individual SPCs, followed by combinatorial split-and-pool single-amplified genome (SAG) barcoding and short-read sequencing. We tested two different sequencing approaches with different numbers of SPCs from the same sample for each sequencing run. Using a deep sequencing approach, we detected 1,796 and 1,220 SAGs, of which 576 and 599 were used for further analysis from one sewage and one fecal sample, respectively. In shallow sequencing data, we aimed for 10-times more cells and detected 12,731 and 17,909 SAGs, of which we used 2,456 and 1,599 for further analysis for sewage and fecal samples, respectively. Additionally, we identified the top 10 antimicrobial resistance genes (ARGs) in both sewage and feces samples and linked them to their individual host bacterial species.
Published Lausanne : Frontiers Media SA
Type Journal article
Language English
Publication date 2024
CC license CC license description