Biology subjects

Teo, Y.-Y.

Publications and source records attributed to Teo, Y.-Y..

5 recordsLinked to original sources

bioRxiv2026

GuFi phages represent the most prevalent viral family-level clusters in the human gut microbiome

Despite being important ecological modulators of the gut microbiome, bacteriophage diversity and function remain under-characterized. We show that short-read metagenomic surveys can miss even globally highly prevalent viral family-level clusters (VFCs), that can be readily assembled and characterized with long-read metagenomic data from a relatively small cohort (n=109). While gut Bacteroidota phages have been the prevailing focus in the literature, we show that highly prevalent gut phage families frequently have Firmicutes hosts (termed GuFi phages), with broad host ranges verified using proximity-ligation (Hi-C) sequencing data. High-throughput sequencing of virus-like particles from fecal samples detected frequent enrichment of GuFi phages across samples, revealing their under-appreciated impact on the gut microbiome. We report the first in vitro induction and imaging of members of prevalent GuFi clades including the candidate orders Heliusvirales, Astravirales (VFC 2) and Suryavirales (VFC 4). Our findings underscore the importance of GuFi phages with broad host ranges in the gut microbiome, and the utility of long-read sequencing for viral discovery, paving the way for deeper insights into the role of bacteriophages in human health and disease.

microbiology↗

bioRxiv2025

High-throughput single-cell isolation of Bifidobacterium strains from the gut microbiome

While metagenomic studies can highlight strain-level diversity within microbial communities, the diversity obtained is often incomplete. Moreover, their utility for phenotypic characterizations remains hampered without the subjacent, systematic isolation procedures required with traditional culturomics. In this work, we examined the capabilities of a commercially available high-throughput single-cell dispensing solution to selectively target and isolate diverse strains of a genus of interest, Bifidobacterium, from fecal samples. The general performance of the single-cell dispenser was first assessed, revealing a low doublet frequency of 11.5% and an ability to preserve global genus diversity when a mixed culture of Bifidobacterium was dispensed. Culturing-related factors including the use of an effective selection medium, such as the Bifidus Selective Medium supplemented with mupirocin (BSM-MUP), and the length of incubation were found to be critical in determining isolation success. Leveraging these results, we obtained a total of 622 viable isolates from five Singaporean fecal samples, among which [~]98.7% were bifidobacteria. Whole-genome sequencing of 96 isolates revealed six different Bifidobacterium species with both inter- and intra-subject lineage diversity, and the majority of the assemblies were not previously captured using metagenomic sequencing. Our findings validate the ability of high-throughput culturomics to recover diverse, novel bacterial strains and open up the possibility to robustly interrogate their functional characteristics, advancing our understanding of important microbiomes. IMPORTANCEThe field of microbial culturomics is still in its early stages. Enhancing our ability to isolate and phenotypically test bacterial strains from their multicellular environment is crucial for advancing microbiome research and healthcare development. Given the time- and cost-inefficiencies of traditional culturing methods, a more efficient, high-throughput approach to obtain isolates is needed. In the present study, we assessed a single-cell dispensing platform and developed a workflow to isolate diverse Bifidobacterium strains from fecal samples. We demonstrated here the capability of this novel technology to efficiently obtain hundreds of isolates of a targeted organism, covering both species and strain diversities. This generalizable and scalable method allows for the high-throughput recovery of microbes with little optimization needed for novel targets, providing a fundamental step in improving the culturomic framework to complement metagenomic approaches and enable isolate-level functional studies of important microbiomes.

microbiology↗

bioRxiv2023

Comparison of tet(X4)-containing contigs from metagenomic sequencing data with plasmid sequences of isolates from a cohort of healthy subjects.

The recently discovered tigecycline-inactivating enzyme Tet(X4) can confer high-level tigecycline resistance on its hosts, which makes it a public health concern. This study focused on detection, analysis, and characterization of Tet(X4)-positive Enterobacteriaceae from the gut microbiota of a healthy cohort of individuals in Singapore using cultivation-dependent and cultivation-independent approaches. Twelve Tet(X4)-positive Enterobacteriaceae strains that were previously obtained from the cohort were fully genome-sequenced and comparatively analysed. A metagenomic sequencing (MS) dataset of the same samples was mined for contigs that harboured the tet(X4) resistance gene. The sequences of tet(X4)-containing contigs and plasmids sequences were compared. The presence of the resistance genes floR and catD (also annotated as estT) was detected in the same cassette in 10 and 12 out of the 12 tet(X4)-carrying plasmids, respectively. MS detected tet(X4)-containing contigs in two out of 109 subjects, while cultivation-dependent analysis previously reported a prevalence of 10.1%. Contig sequences are relatively short ([~]14-33 kb) but show high similarity to the respective plasmid sequences of the isolates. The frequent co-occurrence of florR and catD with tet(X4) corroborates the hypothesis that the transmission of tet(X4) may have originated from the veterinary sector. Our findings show that MS can complement efforts in the surveillance of antibiotic resistance genes for clinical samples, while it has a lower sensitivity than a cultivation-based method when the target organism have a low abundance. Further optimisation is required if MS is to be utilised in antibiotic resistance surveillance.

microbiology↗

bioRxiv2022

Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians

Despite extensive efforts to address it, the vastness of uncharacterized dark matter microbial genetic diversity can impact short-read sequencing based metagenomic studies. Population-specific biases in genomic reference databases can further compound this problem. Leveraging advances in long-read and Hi-C technologies, we deeply characterized 109 gut microbiomes from three ethnicities in Singapore to comprehensively reconstruct 4,497 medium and high-quality metagenome assembled genomes, 1,708 of which were missing in short-read only analysis and with >28x N50 improvement. Species-level clustering identified 70 (>10% of total) novel gut species out of 685, improved reference genomes for 363 species (53% of total), and discovered 3,413 strains that are unique to these populations. Among the top 10 most abundant gut bacteria in our study, one of the species and >80% of all strains were not represented in existing databases. Annotation of biosynthetic gene clusters (BGCs) uncovered more than 27,000 BGCs with a large fraction (36-88%) not represented in current databases, and with several unique clusters predicted to produce bacteriocins that could significantly alter microbiome community structure. These results reveal the significant uncharacterized gut microbial diversity in Southeast Asian populations and highlight the utility of hybrid metagenomic references for bioprospecting and disease-focused studies.

genomics↗

bioRxiv2017

TOWARDS A GLOBAL SUPPORT OF CORE DATA RESOURCES FOR THE LIFE SCIENCES

On November 18-19, 2016, the Human Frontier Science Program Organization (HFSPO) hosted a meeting of senior managers of key data resources and leaders of several major funding organizations to discuss the challenges associated with sustaining biological and biomedical (i.e., life sciences) data resources and associated infrastructure. A strong consensus emerged from the group that core data resources for the life sciences should be supported through a coordinated international effort(s) that better ensure long-term sustainability and that appropriately align funding with scientific impact. Ideally, funding for such data resources should allow for access at no charge, as is presently the usual (and preferred) mechanism. Below, the rationale for this vision is described, and some important considerations for developing a new international funding model to support core data resources for the life sciences are presented.

scientific communication and education↗