Single-Cell Genomics for Unculturable Microbes

Utilizing FACS, MDA, and WGS, we recover high-quality single amplified genomes from unculturable microbes, enabling researchers to precisely infer metabolic dependencies and design rational, targeted cultivation strategies for novel strains.

When Cultivation Fails, Functional Discovery Stalls

Many high-value microbial candidates cannot be readily cultured in vitro due to unknown nutrient requirements, syntrophic dependence, or extreme oxygen sensitivity. When cultivation fails, downstream characterization often stalls because there is no genome-level evidence to support taxonomic assignment, functional inference, or rational medium design.

The Researcher's Pain Points

  • × Target strain cannot be isolated in pure culture, delaying downstream validation.
  • × Community-level metagenomics cannot confidently assign genes to the target cell, especially for rare taxa.
  • × No genome means no functional hypothesis, making MOA, safety, and biomarker exploration difficult.
  • × No biosynthetic map means no rational cultivation strategy, so media optimization remains trial-and-error.

Our Single-Cell Genomics Approach

Creative Biolabs circumvents the immediate need for cultivation. By directly isolating individual bacterial cells from complex samples and amplifying their genomes, we provide you with genome-resolved insights of your uncultured targets.

Our workflow is designed to generate genome-resolved information from individual uncultured cells, enabling taxonomic identification, functional annotation, metabolic reconstruction, and hypothesis generation for future cultivation.

Integrated Single-Cell Genomics Services

We deploy an optimized end-to-end pipeline leveraging FACS, MDA, and WGS to achieve high-confidence single-cell resolution directly from complex microbial populations.

01

High-Precision FACS Sorting

We utilize advanced flow cytometry to isolate single microbial cells from complex matrices (feces, biopsies ex vivo, environmental swabs). Our protocols include rigorous declumping and precise fluorescent staining to maximize single-cell deposition confidence and reduce background contamination in 384-well plates.

02

Optimized MDA Amplification

A single bacterial cell contains mere femtograms of DNA. We employ Multiple Displacement Amplification (MDA) using highly processive Phi29 DNA polymerase. Our lysis and amplification buffers are strictly decontaminated to prevent exogenous DNA interference, supporting sensitive whole-genome amplification from low-input single-cell templates.

03

WGS and Bioinformatics

We perform deep NGS to maximize genome recovery through single-cell-optimized QC and assembly workflows. Because single-cell WGA may introduce uneven coverage and partial genome recovery, our downstream pipeline is designed to evaluate completeness, remove likely contaminants, and prioritize biologically interpretable SAG outputs.

From Genome to Cultivation Clues

A genome sequence is not just a structural map; it is a metabolic blueprint. We focus on transforming sequencing data into actionable cultivation strategies. Using SAG-based metabolic reconstruction, we help identify:

  • Missing amino acid, vitamin, or cofactor biosynthesis pathways (auxotrophies)
  • Potential dependence on host- or community-derived metabolites
  • Candidate carbohydrate utilization preferences and specific transporter genes
  • Possible syntrophic or cross-feeding requirements

These insights support hypothesis-driven medium design, moving you away from blind trial-and-error towards rational, targeted follow-up cultivation experiments.

Comprehensive Single-Cell Genomics Deliverables

We deliver a tiered data package, ranging from raw sequence QC to high-level biological interpretation, ensuring your team has both the foundational data and the immediate functional insights required to advance your program.

A. Core Data Deliverables

  • Raw sequencing data and strict QC summary report
  • Single Amplified Genome (SAG) assemblies and contigs
  • Assembly statistics, including contamination and completeness assessment
  • Gene calling and functional annotation tables (e.g., mapping to KEGG, COG)

B. Interpretative Deliverables

  • Taxonomic assignment of recovered SAGs at the highest possible resolution
  • Predicted metabolic pathways and substrate utilization potential
  • Candidate auxotrophies and missing essential biosynthetic functions
  • Hypotheses for cultivation improvement (e.g., targeted nutrient supplementation, cross-feeding dependencies)

Standardized Single-Cell Sequencing Workflow

Compatible Sample Types

  • Fecal samples & mucosal swabs
  • Biopsy-derived suspensions (ex vivo)
  • Environmental microbial suspensions
  • Enriched mixed cultures that still cannot yield pure isolates

Typical Use Cases

  • Rare strains missed by bulk metagenomics binning
  • Uncultured responders to diet, drug, or clinical interventions
  • Target microbes linked to early LBP discovery
  • Strain-level functional hypothesis generation before cultivation succeeds
1

Sample Processing

Gentle homogenization and purification of clinical or environmental samples to preserve cell wall integrity.

2

FACS Isolation

High-throughput sorting of individual microbial cells into multi-well plates utilizing specific fluorescent markers.

3

Cell Lysis & MDA

Alkaline lysis followed by isothermal Multiple Displacement Amplification to generate sufficient genomic DNA.

4

Library & Sequencing

Construction of sequencing libraries and execution of high-depth Illumina or long-read sequencing platforms.

5

Bioinformatics

Data decontamination, SAG assembly, metabolic profiling, and delivery of actionable reports.

Advantages of Our Single-Cell Genomics Services

Single-Cell Precision

Bypass the inherent binning errors of bulk metagenomics to assign functional genes directly to specific host cells.

Cultivation-Oriented

We don't just provide raw sequences; our interpretation actively aids your future in vitro isolation strategies.

Rigorous Decontamination

Strict wet-lab controls and single-cell-tailored bioinformatics pipelines manage amplification bias and exogenous DNA.

End-to-End Handling

From complex clinical or environmental matrices all the way through to annotated SAG delivery in a unified workflow.

Published Data: Unlocking Functional Insights from Uncultured Microbiota

Published studies have shown that FACS-enabled single-cell genomics can recover SAGs from uncultured gut microbes and reveal substrate utilization loci, metabolic specialization, and strain-specific functional traits directly from complex host-associated samples. These reports support the value of single-cell genome recovery when cultivation or conventional binning is insufficient.

For example, by analyzing Single Amplified Genomes (SAGs) derived directly from host samples in vivo, scientists successfully pinpointed novel polysaccharide utilization loci (PULs)—such as highly specific inulin utilization gene clusters—within uncultured Bacteroides species. This level of resolution allows researchers to map out precise host-diet-microbe interactions without ever isolating the organism in pure culture.

How Creative Biolabs Can Help: Our comprehensive single-cell genomics workflow aligns with the robust methodologies utilized in these advanced publications. Whether you are investigating novel dietary responders, pathogen antagonists, or LBP targets, we deliver the annotated SAGs required to decode your unculturable candidates.

Predicted inulin utilization loci in Bacteroides genomes. (Creative Biolabs Authorized)

Fig.1 Identification of putative inulin utilization loci in the inulin responder Bacteroides genomes. 1,3

Frequently Asked Questions

While shotgun metagenomics is excellent for profiling whole communities, it often struggles to correctly assemble genomes for low-abundance species or correctly link mobile genetic elements (like plasmids carrying AMR or virulence genes) to their specific bacterial hosts. Single-cell genomics physically isolates a single microbe before sequencing, guaranteeing that all resulting genomic data belongs to that specific individual cell. This provides unequivocal strain-level resolution and high-confidence functional predictions for microbes that cannot be cultured in vitro.

Multiple Displacement Amplification (MDA) is highly efficient but known to cause uneven read coverage across the genome. We mitigate this through a combination of optimized reaction chemistries during the wet-lab phase to maximize uniformity, and specialized bioinformatics pipelines during data analysis. Our algorithms employ sequence normalization and specialized single-cell assemblers (like SPAdes optimized for single-cell data) that are specifically designed to handle uneven depth profiles, maximizing genome recovery and contig lengths.

Yes. One of the most valuable outputs of a Single Amplified Genome (SAG) is the metabolic pathway reconstruction. By identifying which essential biosynthetic pathways (such as specific amino acid or vitamin synthesis pathways) are missing from the genome, we can pinpoint the organism's auxotrophies. This provides you with targeted clues on what specific nutrients, co-factors, or cross-feeding metabolites need to be supplemented into your media to successfully cultivate the microbe in vitro.

Our protocols are adaptable to a wide variety of sample matrices. We commonly process fecal samples, mucosal swabs, tissue biopsies (ex vivo), and diverse environmental samples. The key to success is prompt and proper sample preservation to maintain cell wall integrity. During project scoping, our experts will provide detailed protocols on sample collection, buffer storage, and shipping requirements to ensure optimal viable cell recovery for FACS isolation.

References

  1. Chijiiwa, Rieka, et al. "Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota." Microbiome 8.1 (2020): 5. https://doi.org/10.1186/s40168-019-0779-2
  2. Lloréns-Rico, Verónica, et al. "Single-cell approaches in human microbiome research." Cell 185.15 (2022): 2725-2738. https://doi.org/10.1016/j.cell.2022.06.040
  3. Distributed under Open Access license CC BY 4.0, without modification.
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