Evidence map›Paper›PMID 40611625›Full record

ArticleGenome biology and evolution2025

"Select and Resequence" Methods Enable a Genome-Wide Association Study of the Dimorphic Human Fungal Pathogen Coccidioides posadasii.

Mark Voorhies, Bastian Joehnk, Jessie Uehling, Keith Walcott, Claire A Dubin, Heather L Mead, Christina M Homer, John N Galgiani, Bridget M Barker, Rachel B Brem and 1 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Mark VoorhiesDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8815-7384
Bastian JoehnkDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3264-5052
Jessie UehlingDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0439-2737
Keith WalcottDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-2896-2431
Claire A DubinDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA.ORCID 0000-0003-0319-6013
Heather L MeadThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.ORCID 0000-0002-5680-0758
Christina M HomerDivision of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-4835-090X
John N GalgianiValley Fever Center for Excellence, Department of Medicine, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-7882-1883
Bridget M BarkerThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.ORCID 0000-0002-3439-4517
Rachel B BremDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA.ORCID 0000-0002-8587-9434
Anita SilDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3987-7534

Funding

Early in vivo Expressed Antigens and their Role in Virulence, Immune Response, and Vaccines for CoccidioidomycosisU19AI166058 · NIAID · NORTHERN ARIZONA UNIVERSITY · PI Deborah H. Fuller · 2022 to 2026
$12.1M
Virulence gene discovery in CoccidioidesU19AI166798 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Satya Dandekar · 2022 to 2026
$10.5M
Illumina NovaSeq 6000 Sequencing SystemS10OD028511 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOW, ERIC D · 2020 to 2020
$583k
Investigation of key proteases in the parasitic phase of CoccidioidesR21AI172185 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIL, ANITA · 2022 to 2023
$444k
NIAID NIH HHS R21 AI172185NIAID NIH HHS U19 AI166058NIAID NIH HHS U19 AI166798NIH HHS 1S10OD028511-01NIH HHS R21AI172185NIH HHS S10 OD028511NIH HHS U19AI166798
6 · The paper itself

Abstract

Next-generation sequencing has unlocked a wealth of genotype information for wild populations, but interpreting it in the context of phenotypes remains a bottleneck, particularly for nonmodel organisms that are difficult to manipulate. To meet this challenge, we pioneered a method for the mapping of genotype to phenotype in natural populations for the thermally dimorphic pathogenic fungus Coccidioides posadasii, using temperature-responsive growth as a proof of concept. We first sequenced the genomes of 66 natural C. posadasii isolates. We then mixed these strains into pools, competed them in growth assays at 37 °C and room temperature, and sequenced the resulting DNA mixtures. We inferred the abundance of each strain in the pool from the sequence coverage of polymorphisms across their genomes in each competition. Ultimately, we used these abundance measures for genome-wide association tests to find loci predictive of, and potentially causal for, temperature-dependent growth as it varied across strains. Emerging from the top hits were variants in the gene D8B26_001557, which we identified from omics resources as a part of the regulatory network controlled by the thermally responsive dimorphism transcription factor Ryp1. Together, our data underscore the power of pooled strain phenotyping and association mapping as a tool for the genetic dissection of trait variation in nonmodel systems.

Indexed as

CoccidioidesGenome, FungalGenome-Wide Association StudyCoccidioidomycosisGenotypeHigh-Throughput Nucleotide SequencingHumansPhenotypePolymorphism, Single NucleotideCoccidioides posadasiigenome sequencinggenome-wide association studypooled screenselect and resequencethermally dimorphic fungal pathogen

Identifiers

PMID40611625
PMCPMC12301965

What OpenQuestion holds

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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.