Evidence map›Paper›PMID 40928232›Full record

ArticlemSystems2025

Preparation of functional metagenomic libraries from low biomass samples using METa assembly and their application to capture antibiotic resistance genes.

H M Allman, E P Bernate, E Franck, F J Oliaro, E M Hartmann, T S Crofts

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Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

H M Allman *Department of Biomedical Sciences, Florida State University, Tallahassee, Florida, USA.
E P Bernate *College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
E FranckDepartment of Biomedical Sciences, Florida State University, Tallahassee, Florida, USA.
F J OliaroConservation Research Department, John G. Shedd Aquarium, Chicago, Illinois, USA.
E M HartmannDepartment of Civil and Environmental Engineering, Northwestern University, , Evanston, Illinois, USA.ORCID 0000-0002-0966-2014
T S CroftsDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-2302-502X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant challenge in the field of microbiology is the functional annotation of novel genes from microbiomes. The increasing pace of sequencing technology development has made solving this challenge in a high-throughput manner even more important. Functional metagenomics offers a sequence-naive and cultivation-independent solution. Unfortunately, most methods for constructing functional metagenomic libraries require large input masses of metagenomic DNA, putting many sample types out of reach. Here, we show that our functional metagenomic library preparation method, METa assembly, can be used to prepare useful libraries from much lower input DNA quantities. Standard methods of functional metagenomic library preparation generally call for 5-60 µg of input metagenomic DNA. We demonstrate that the threshold for input DNA mass can be lowered at least to 30.5 ng, a 3-log decrease from prior art. We prepared functional metagenomic libraries using between 30.5 ng and 100 ng of metagenomic DNA and found that despite their limited input mass, they were sufficient to link MFS transporters lacking substrate-specific annotations to tetracycline resistance and capture a gene encoding a novel GNAT family acetyltransferase that represents a new streptothricin acetyltransferase,

Indexed as

Drug Resistance, MicrobialGene LibraryMetagenomicsBacteriaBiomassHumansMetagenomeMicrobiotaantibiotic resistanceaquatic microbiomefunctional metagenomicsfunctional metagenomic selectionhuman microbiomemetagenomicsshotgun cloningStreptothricintetracyclines

Identifiers

PMID40928232
PMCPMC12542778

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.