Evidence map›Paper›PMID 41256382›Full record

ArticlebioRxiv : the preprint server for biology2025

Population-Specific Transcriptomic Shifts Underlie Secondary Metabolic Diversification in

Milton T Drott, Yen-Wen Wang, E Anne Hatmaker, Nayanna M Mercado-Soto, J Mitch Elmore, Dianiris Luciano-Rosaro, Jae-Hyuk Yu, Antonis Rokas, John G Gibbons, Anna Huttenlocher and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
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.

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

12 authors.

Milton T DrottU.S. Department of Agriculture-Agricultural Research Service, Cereal Disease Laboratory, St. Paul, MN 55108, U.S.A.
Yen-Wen WangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
E Anne HatmakerU.S. Department of Agriculture-Agricultural Research Service, Cereal Disease Laboratory, St. Paul, MN 55108, U.S.A.
Nayanna M Mercado-SotoDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, WI, USA.
J Mitch ElmoreU.S. Department of Agriculture-Agricultural Research Service, Cereal Disease Laboratory, St. Paul, MN 55108, U.S.A.
Dianiris Luciano-RosaroU.S. Department of Agriculture-Agricultural Research Service, Food Quality Laboratory, Beltsville, MD, USA.
Jae-Hyuk YuDepartment of Bacteriology, University of Wisconsin, Madison, WI, USA.
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA.
John G GibbonsDepartment of Food Science, College of Natural Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Anna HuttenlocherDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, WI, USA.
Kunlong YangDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, WI, USA.
Nancy P KellerDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, WI, USA.

Funding

Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

The genomic signatures of microbial domestication remain poorly understood within the context of natural population variation. Here, we demonstrate that

Indexed as

Domesticationevolution of secondary metabolismmycotoxinspopulation transcriptomics

Identifiers

PMID41256382
PMCPMC12621884

What OpenQuestion holds

Textmetadata
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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.