ArticleFrontiers in microbiology2023
Revealing within-species diversity in uncultured human gut bacteria with single-cell long-read sequencing.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Droplet microfluidics strategies for overcoming bottlenecks in antibiotics discovery.iScience · 2026Review
- Development of Chimera AMP-Endolysin with Wider Spectra Against Gram-Negative Bacteria Using High-Throughput Assay.Viruses · 2025Article
- Gut commensaliScience · 2024Article
- Article
- Tools for microbial single-cell genomics for obtaining uncultured microbial genomes.Biophysical reviews · 2024Review
- Research progress in isolation and identification of rumen probiotics.Frontiers in cellular and infection microbiology · 2024Review
- Single-cell analysis and spatial resolution of the gut microbiome.Frontiers in cellular and infection microbiology · 2023Review
- Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomics.Computational and structural biotechnology journal · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Obtaining complete and accurate bacterial genomes is vital for studying the characteristics of uncultured bacteria. Single-cell genomics is a promising approach for the culture-independent recovery of bacterial genomes from individual cells. However, single-amplified genomes (SAGs) often have fragmented and incomplete sequences due to chimeric and biased sequences introduced during the genome amplification process. To address this, we developed a single-cell amplified genome long-read assembly (scALA) workflow to construct complete circular SAGs (cSAGs) from long-read single-cell sequencing data of uncultured bacteria. We used the SAG-gel platform, which is both cost-effective and high-throughput, to obtain hundreds of short-read and long-read sequencing data for specific bacterial strains. The scALA workflow generated cSAGs by repeated
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Registered trials
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