Evidence map›Paper›PMID 41279300›Full record

ArticlebioRxiv : the preprint server for biology2025

A Bait-and-Switch strategy links phenotypes to genes coding for Polymer-Degrading Enzymes in Intact Microbiomes.

Colleen E Yancey, Kyle D Brumfield, Jackson Buss, Rita R Colwell, Laurence Ettwiller

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Colleen E YanceyResearch Division, New England Biolabs 240 County Rd, Ipswich MA, USA.ORCID 0000-0002-6078-9483
Kyle D BrumfieldUniversity of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA.ORCID 0000-0002-3234-3337
Jackson BussResearch Division, New England Biolabs 240 County Rd, Ipswich MA, USA.
Rita R ColwellUniversity of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA.ORCID 0000-0001-5432-1502
Laurence EttwillerResearch Division, New England Biolabs 240 County Rd, Ipswich MA, USA.ORCID 0000-0002-3957-6539

Funding

Effects of climate change on prevalence and environmental niches of clinically important vibrios in the Chesapeak BayR01ES030317 · NIEHS · UNIV OF MARYLAND, COLLEGE PARK · PI HUQ, ANWAR · 2018 to 2022
$547k
NIEHS NIH HHS R01 ES030317
6 · The paper itself

Abstract

Advances in next generation sequencing have made it possible to explore microbial community dynamics and regulation of functionally important genes through metagenomics and metatranscriptomics. However, the use of meta-omics to link enzyme function directly with complex, community-level phenotypes remain largely unexplored. To overcome this gap, we developed a novel framework that integrates ecological concepts by microbial community perturbation with association analysis to a targeted phenotype. Specifically, we introduce a hypothesis-free "bait and switch" strategy demonstrated through salt marsh soil microcosm pulse experiments to detect and characterize novel enzymes responsible for chitin degradation. Soil microbial communities were "baited" with shell compost, a chitin-rich substrate, to trigger community succession toward chitin degraders and gene upregulation of chitinases. A "switch" was then employed, by addition of glucose, inducing rapid downregulation of genes putatively responsible for chitin degradation. Results demonstrate the feasibility of this approach to identify functionally important enzymes, in this example, 48 hours after chitin addition. The bait and switch community perturbation provides a framework for discovery of polymer degrading enzymes present in complex microbial communities and serves as a proof of concept applicable for linking enzyme function with emergent community level phenotypes.

Indexed as

enzyme discoverymetagenomicsmetatranscriptomicsmicrobial communitiesmicrobiomephenotypic association studies

Identifiers

PMID41279300
PMCPMC12632509

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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.