Evidence map›Paper›PMID 38195557›Full record

ArticleNature communications2024

VESPA: an optimized protocol for accurate metabarcoding-based characterization of vertebrate eukaryotic endosymbiont and parasite assemblages.

Leah A Owens, Sagan Friant, Bruno Martorelli Di Genova, Laura J Knoll, Monica Contreras, Oscar Noya-Alarcon, Maria G Dominguez-Bello, Tony L Goldberg

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Gut protist diversity in Eurasian beavers (International journal for parasitology. Parasites and wildlife · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
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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

8 authors.

Leah A OwensDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA. leah.owens@wisc.edu.ORCID 0000-0002-4232-3516
Sagan FriantDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0003-1664-5180
Bruno Martorelli Di GenovaDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-9983-1856
Laura J KnollDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-9362-8088
Monica ContrerasCenter for Biophysics and Biochemistry, Venezuelan Institute of Scientific Research (IVIC), Caracas, Venezuela.
Oscar Noya-AlarconCentro Amazónico de Investigación y Control de Enfermedades Tropicales-CAICET, Puerto Ayacucho, Amazonas, Venezuela.
Maria G Dominguez-BelloDepartment of Biochemistry and Microbiology, Rutgers University-New Brunswick, New Brunswick, NJ, USA.ORCID 0000-0002-8879-6159
Tony L GoldbergDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA. tony.goldberg@wisc.edu.ORCID 0000-0003-3962-4913

Funding

Parasitology and Vector Biology Training ProgramT32AI007414 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Lyric Colleen Bartholomay · 1992 to 2026
$4.5M
Cumulative Life Course Effects on Aging and Health in a Long-Lived Primate ModelR37AG049395 · NIA · UNIVERSITY OF NEW MEXICO · PI Elizabeth Vinson Lonsdorf, Melissa Emery Thompson · 2022 to 2026
$3.2M
Biodemography of Aging in Wild ChimpanzeesR01AG049395 · NIA · UNIVERSITY OF NEW MEXICO · PI MITANI, JOHN CARY, ROSATI, ALEXANDRA G · 2015 to 2019
$2.9M
Comprehensive characterization of parasite and commensal assemblages in humansR21AI163592 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI GOLDBERG, TONY L. · 2022 to 2023
$428k
NIAID NIH HHS R21 AI163592NIAID NIH HHS T32 AI007414NIA NIH HHS R01 AG049395NIA NIH HHS R37 AG049395
6 · The paper itself

Abstract

Protocols for characterizing taxonomic assemblages by deep sequencing of short DNA barcode regions (metabarcoding) have revolutionized our understanding of microbial communities and are standardized for bacteria, archaea, and fungi. Unfortunately, comparable methods for host-associated eukaryotes have lagged due to technical challenges. Despite 54 published studies, issues remain with primer complementarity, off-target amplification, and lack of external validation. Here, we present VESPA (Vertebrate Eukaryotic endoSymbiont and Parasite Analysis) primers and optimized metabarcoding protocol for host-associated eukaryotic community analysis. Using in silico prediction, panel PCR, engineered mock community standards, and clinical samples, we demonstrate VESPA to be more effective at resolving host-associated eukaryotic assemblages than previously published methods and to minimize off-target amplification. When applied to human and non-human primate samples, VESPA enables reconstruction of host-associated eukaryotic endosymbiont communities more accurately and at finer taxonomic resolution than microscopy. VESPA has the potential to advance basic and translational science on vertebrate eukaryotic endosymbiont communities, similar to achievements made for bacterial, archaeal, and fungal microbiomes.

Indexed as

MicrobiotaParasitesWaspsAnimalsArchaeaVertebrates

Identifiers

PMID38195557
PMCPMC10776621

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.