Evidence map›Paper›PMID 41847008›Full record

ArticlebioRxiv : the preprint server for biology2026

Microbial Community multi-omic analysis of marsh sediment post crustacean shell compost enrichment: pathogen emergence and community response.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Colleen E YanceyNew England Biolabs Inc., Ipswich, MA, USA, 01938.ORCID 0000-0002-6078-9483
Kyle D BrumfieldUniversity of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA, 20740.ORCID 0000-0002-3234-3337
Laurence EttwillerNew England Biolabs Inc., Ipswich, MA, USA, 01938.ORCID 0000-0002-3957-6539
Rita R ColwellNew England Biolabs Inc., Ipswich, MA, USA, 01938.ORCID 0000-0001-5432-1502

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

Changes in nutrient availability can rapidly alter microbial processes in natural environments, with implications in biogeochemical cycling and pathogen emergence. Short-term, functional responses of microbial communities to nutrient amendment in coastal communities remain poorly understood, particularly in temperate environments. A 48-hour microcosm pulse experiment was completed in which paired metagenomic and metatranscriptomic sequencing were employed to examine how the decomposition of chitin rich substrates, namely crab and lobster shell compost, alters salt marsh microbiome structure and function. Within 48 hours of amendment, pronounced shifts in community metabolism were observed, including increased chitin degradation and utilization, stress-response, and sporulation. These responses coincided with marked decreases in genes associated with key biogeochemical processes, including carbon fixation, sulfur oxidation and reduction, and other metabolic pathways. Shell compost addition also enriched putative pathogens and virulence-associated genes, accompanied by modest transcriptional activation, notably aerolysin A

Indexed as

coastal environmentsmicrobial ecologymulti-omicspathogenssalt marsh

Identifiers

PMID41847008
PMCPMC12991075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.