Evidence map›Paper›PMID 37289095›Full record

ArticleMicrobiology resource announcements2023

Genome Sequence of Lichtheimia ornata, an Emerging Opportunistic Mucorales Pathogen.

Terrance Shea, Jason T Mohabir, Tania Kurbessoian, Brittany Berdy, James Fontaine, Andreas Gnirke, Jonathan Livny, Jason E Stajich, Christina A Cuomo

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2023. 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

9 authors.

Terrance SheaInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jason T MohabirInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Tania KurbessoianDepartment of Microbiology and Plant Pathology, University of California, Riverside, Riverside, California, USA.
Brittany BerdyInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
James FontaineInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Andreas GnirkeInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jonathan LivnyInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jason E StajichDepartment of Microbiology and Plant Pathology, University of California, Riverside, Riverside, California, USA.ORCID 0000-0002-7591-0020
Christina A CuomoInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-5778-960X

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI CUOMO, CHRISTINA A · 2014 to 2024
$66.5M
Evolved Heterogeneity Contributes to Chronic Fungal Lung InfectionsR01AI127548 · NIAID · DARTMOUTH COLLEGE · PI HOGAN, DEBORAH A · 2017 to 2025
$3.9M
NIAID NIH HHS R01 AI127548NIAID NIH HHS U19 AI110818
6 · The paper itself

Abstract

Lichtheimia ornata is an emerging opportunistic Mucorales pathogen that is associated with fatal infections in immunocompromised individuals. While these environmentally acquired infections have rarely been reported to date, cases were noted in a recent analysis of coronavirus disease 2019 (COVID-19)-associated mucormycosis in India. Here, we report the annotated genome sequence of the environmental isolate CBS 291.66.

Identifiers

PMID37289095
PMCPMC10353378

What OpenQuestion holds

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Registered trials

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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.