Niranjan Nagarajan
@niranjantw.bsky.social
📤 87
📥 39
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Computational Biologist and Microbiome Scientist at the National University of Singapore
pinned post!
Thrilled to share our labor of love over the last 5 years 🤩 Leveraging long-read metagenomics (
@nanoporetech.com
) we identified some of the most prevalent gut phage families that have previously been overlooked in short-read based studies. [1/5] Read more here:
www.biorxiv.org/content/10.6...
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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. ### Competing Interest Statement IL is an employee of Phase Genomics. National Medical Research Council, 23-0614 National Research Foundation, NRFI09-0015 A*STAR, C210812044
https://www.biorxiv.org/content/10.64898/2026.01.26.701711v1.full
11 days ago
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Thrilled to share our labor of love over the last 5 years 🤩 Leveraging long-read metagenomics (
@nanoporetech.com
) we identified some of the most prevalent gut phage families that have previously been overlooked in short-read based studies. [1/5] Read more here:
www.biorxiv.org/content/10.6...
loading . . .
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. ### Competing Interest Statement IL is an employee of Phase Genomics. National Medical Research Council, 23-0614 National Research Foundation, NRFI09-0015 A*STAR, C210812044
https://www.biorxiv.org/content/10.64898/2026.01.26.701711v1.full
11 days ago
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reposted by
Niranjan Nagarajan
JS Gounot
about 1 month ago
Our new paper on high-throughput isolation of Bifidobacterium just got published! A very nice adventure starting with the supervision of
@lamhaiha.bsky.social
, a talented intern, and a nice collab with our BSight expert
@isaacyueyuan.bsky.social
! Stay tuned for more isolation and Bifido work! :)
add a skeleton here at some point
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reposted by
Niranjan Nagarajan
Lam Hai Ha
about 1 month ago
Excited to share my first-ever publication on high-throughput Bifidobacterium isolation! Special thanks to my co-author,
@isaacyueyuan.bsky.social
, for this wonderful write-up. I would also want to thank
@niranjantw.bsky.social
and
@jsgounot.bsky.social
for their uwavering support and guidance.
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High-throughput isolation of probiotic species from the gut microbiome! Great to have this work out early in the year:
journals.asm.org/eprint/KHNHX...
We report our experience with the B.SIGHT system from
@cytena.bsky.social
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about 1 month ago
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Published finally! Our study describing the use of metagenomics for AMR/pathogen surveillance in food-centres island-wide in Singapore is out in npj Antimicrobial & Resistance:
nature.com/articles/s44...
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Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment - npj Antimicrobials and Resistance
npj Antimicrobials and Resistance - Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment
https://nature.com/articles/s44259-025-00132-0
5 months ago
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Skin
#metatranscriptomics
could be transformational in a way not seen in gut/oral studies as 1) Defined spatial sampling can provide in vivo relevant insights 2) Microbial mRNA is dominant, but human mRNA is also readily detected and quantified
www.nature.com/articles/s41...
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Skin metatranscriptomics reveals a landscape of variation in microbial activity and gene expression across the human body - Nature Biotechnology
Skin metagenomic and metatranscriptomic analysis shows divergence between microbial abundance and activity.
https://www.nature.com/articles/s41587-025-02797-4
5 months ago
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Our study developing a skin metatranscriptomics protocol is now out in
@natbiotech.nature.com
! We finally have the ability to study microbial activity on skin and identify key functional genes playing a role in diseases. Amazing team of Chia Minghao and Amanda Ng 👏
nature.com/articles/s41...
5 months ago
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reposted by
Niranjan Nagarajan
Nature Biotechnology
6 months ago
Skin metatranscriptomics reveals a landscape of variation in microbial activity and gene expression across the human body -
@niranjantw.bsky.social
@astar-gis.bsky.social
go.nature.com/4fVg95j
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Skin metatranscriptomics reveals a landscape of variation in microbial activity and gene expression across the human body - Nature Biotechnology
Skin metagenomic and metatranscriptomic analysis shows divergence between microbial abundance and activity.
https://go.nature.com/4fVg95j
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Our work on direct
@nanoporetech.com
sequencing of non-canonical bases in now out in
@natcomms.nature.com
! Read all about it here:
nature.com/articles/s41...
Great collab with Chew and Hirao lab
x.com/NiranjanTW/s...
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Direct high-throughput deconvolution of non-canonical bases via nanopore sequencing and bootstrapped learning - Nature Communications
Perez, Kimoto, Rajakumar and colleagues present a fast and accurate DNA sequencing method that reads canonical and non-canonical bases using AI and nanopore technology. The approach enables an expande...
https://nature.com/articles/s41467-025-62347-z
6 months ago
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reposted by
Niranjan Nagarajan
A*STAR Genome Institute of Singapore (A*STAR GIS)
9 months ago
Find out how our researchers—Associate Director
@niranjantw.bsky.social
, GIS Innovation Fellow Chayaporn Suphavilai and Dr Karrie Ko—discovered a new variation of 𝘊𝘢𝘯𝘥𝘪𝘥𝘢 𝘢𝘶𝘳𝘪𝘴 (𝘊.𝘢𝘶𝘳𝘪𝘴)—𝗰𝗹𝗮𝗱𝗲 𝗩𝗜—a drug-resistant yeast that kept infectious disease experts on high alert worldwide. Full story below👇:
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https://research.a-star.edu.sg/articles/highlights/mapping-an-evolving-fungal-foe/
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reposted by
Niranjan Nagarajan
A*STAR Genome Institute of Singapore (A*STAR GIS)
8 months ago
Studying low-biomass environments in microbiome research? The struggle is real when it comes to contamination! Even the tiniest sprinkle of external microbes can throw off your results, making traditional methods a no-go. Details in link below:
@niranjantw.bsky.social
www.nature.com/articles/s41...
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Guidelines for preventing and reporting contamination in low-biomass microbiome studies - Nature Microbiology
In this Consensus Statement, the authors outline strategies for processing, analysing and interpreting low-biomass microbiome samples, and provide recommendations to minimize contaminants.
https://www.nature.com/articles/s41564-025-02035-2
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reposted by
Niranjan Nagarajan
Chengchen Li (Cherry)
10 months ago
Which skin microbiome type do you have 🤔 Check out our exciting work from the Asian Skin Microbiome Program offering new insights of skin microbiome population heterogeneity👇
#skinmicrobiome
#microbiomescience
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Super thrilled to share our labor of love from the Asian Skin Microbiome Program! We collected >3,500 skin samples, built metagenomic libraries w/ >70 billion reads and >10TB of data to study heterogeneity of the skin microbiome in the general population (200 adults, 18 sites)
t.co/ZylbJMpvpw
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Large-scale skin metagenomics reveals extensive prevalence, coordination, and functional adaptation of skin microbiome dermotypes across body sites
The human skin microbiome is increasingly recognized to influence skin health, immune function and disease susceptibility. However, large-scale, multi-site metagenomic studies in the general populatio...
https://www.biorxiv.org/content/10.1101/2025.04.24.650393v1
10 months ago
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A bit late to joining the Bluesky party, but it's great to see all the amazing scientists who are on this platform! Looking forward to connecting with all of you here (on twitter as @niranjantw ... so keeping the handle consistent).
10 months ago
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