# A proximity ligation method to track mobile element hosts

> **NIH NIH R44** · PHASE GENOMICS, INC. · 2020 · $599,017

## Abstract

ABSTRACT
In this application, we propose to develop Hi-C technology and data analysis software for a user-friendly method
to associate antimicrobial resistant (AMR) and virulence gene-containing mobile elements with their associated
bacterial strains.
Mobile elements are extra-chromosomal DNA or RNA molecules that encode functional elements. These
molecules can be transmitted between members of the same species and across disparate species, leading to
the rapid evolution of biochemical pathways through the sharing of mobile element-encoded proteins. This has
a profound influence on the evolution of microbial communities, with particular impact on the drug resistance and
virulence profiles of the members of the communities.
To date, there is no cost-effective method for identifying mobile element hosts in a mixed microbial community:
A significant fraction of microorganisms are unculturable under laboratory settings and current shotgun genomic
methods fail to capture host information. Therefore, a new tool is needed to provide the information critical to
understanding mobile element biology. Methods such as chromosome confirmation capture (3C) and Hi-C can
be used rapidly and with high accuracy to identify DNA molecules that co-exist within individual cells
directly from a mixed culture or biological sample. The goal of this proposal to develop a new class of tools
that can be used to identify the hosts and transmission of mobile elements in a complex microbial community.
The product proposed in this SBIR Phase II application addresses the need for rapid, culture-free identification
of mobile element-host relationships in complex microbial communities. The method is built upon Phase
Genomics’ expertise with the use of Hi-C and 3C techniques, which allows to deconvolve complex mixtures of
cells within microbial communities, without the need for laboratory culture.
In this application, we propose to produce a method that reduces cost, increases speed, and simplifies the
analysis of a proximity ligation-based test to associate plasmids with their host. Our approach is based on two
discrete work packages:
Aim 1 is focused on combining target enrichment and proximity-ligation methods to reduce sequencing costs
associated with metagenomic deconvolution. In Aim 2, we will develop and design a customer-facing web portal
for upload and analysis of data in which our clients can navigate easily.
Upon completion of the proposed project, we will have laid the basis for a first-generation target enrichment Hi-
C kit and service that will make our innovative platform commercially available.

## Key facts

- **NIH application ID:** 9907327
- **Project number:** 1R44AI150008-01
- **Recipient organization:** PHASE GENOMICS, INC.
- **Principal Investigator:** Ivan Liachko
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $599,017
- **Award type:** 1
- **Project period:** 2020-01-01 → 2021-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9907327

## Citation

> US National Institutes of Health, RePORTER application 9907327, A proximity ligation method to track mobile element hosts (1R44AI150008-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9907327. Licensed CC0.

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