Evidence map›Paper›PMID 26884177›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Illuminating structural proteins in viral "dark matter" with metaproteomics.

Jennifer R Brum, J Cesar Ignacio-Espinoza, Eun-Hae Kim, Gareth Trubl, Robert M Jones, Simon Roux, Nathan C VerBerkmoes, Virginia I Rich, Matthew B Sullivan

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
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

47 citing papers in PubMed, 88 citations in OpenAlex.

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  11. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
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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

9 authors at 2 institutions in 1 country.

Jennifer R BrumDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721;
J Cesar Ignacio-EspinozaDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721;
Eun-Hae KimDepartment of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721;
Gareth TrublDepartment of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721;
Robert M JonesDepartment of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721;
Simon RouxDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721;
Nathan C VerBerkmoesChemical Science Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831.
Virginia I RichDepartment of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721; virginia.isabel.rich@gmail.com mbsulli@gmail.com.
Matthew B SullivanDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721; Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721; Department of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ 85721; virginia.isabel.rich@gmail.com mbsulli@gmail.com.
University of Arizona · USOak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are ecologically important, yet environmental virology is limited by dominance of unannotated genomic sequences representing taxonomic and functional "viral dark matter." Although recent analytical advances are rapidly improving taxonomic annotations, identifying functional dark matter remains problematic. Here, we apply paired metaproteomics and dsDNA-targeted metagenomics to identify 1,875 virion-associated proteins from the ocean. Over one-half of these proteins were newly functionally annotated and represent abundant and widespread viral metagenome-derived protein clusters (PCs). One primarily unannotated PC dominated the dataset, but structural modeling and genomic context identified this PC as a previously unidentified capsid protein from multiple uncultivated tailed virus families. Furthermore, four of the five most abundant PCs in the metaproteome represent capsid proteins containing the HK97-like protein fold previously found in many viruses that infect all three domains of life. The dominance of these proteins within our dataset, as well as their global distribution throughout the world's oceans and seas, supports prior hypotheses that this HK97-like protein fold is the most abundant biological structure on Earth. Together, these culture-independent analyses improve virion-associated protein annotations, facilitate the investigation of proteins within natural viral communities, and offer a high-throughput means of illuminating functional viral dark matter.

Indexed as

ProteomicsMarine BiologyViral Structural ProteinsVirusesViral Structural Proteinsmarineproteinsviruses

Identifiers

PMID26884177
PMCPMC4780635
OpenAlexW2279910557

What OpenQuestion holds

Textmetadata
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.