Evidence map›Paper›PMID 31064832›Full record

ArticlemBio2019

Antimicrobial Peptides, Polymorphic Toxins, and Self-Nonself Recognition Systems in Archaea: an Untapped Armory for Intermicrobial Conflicts.

Kira S Makarova, Yuri I Wolf, Svetlana Karamycheva, Dapeng Zhang, L Aravind, Eugene V Koonin

Open access · goldAbstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

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  12. Adaptation of a methanogen to FeNPJ biofilms and microbiomes · 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

6 authors at 2 institutions in 1 country.

Kira S MakarovaNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA makarova@ncbi.nlm.nih.gov.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.
Svetlana KaramychevaNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.
Dapeng ZhangDepartment of Biology, College of Arts & Sciences, Saint Louis University, St. Louis, Missouri, USA.
L AravindNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.ORCID 0000-0003-3943-8299
National Center for Biotechnology Information · USSaint Louis University · US

Funding

Finding Protein Sequence Motifs--Methods And ApplicationsZIALM000061 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 2009 to 2025
$10.6M
6 · The paper itself

Abstract

Numerous, diverse, highly variable defense and offense genetic systems are encoded in most bacterial genomes and are involved in various forms of conflict among competing microbes or their eukaryotic hosts. Here we focus on the offense and self-versus-nonself discrimination systems encoded by archaeal genomes that so far have remained largely uncharacterized and unannotated. Specifically, we analyze archaeal genomic loci encoding polymorphic and related toxin systems and ribosomally synthesized antimicrobial peptides. Using sensitive methods for sequence comparison and the "guilt by association" approach, we identified such systems in 141 archaeal genomes. These toxins can be classified into four major groups based on the structure of the components involved in the toxin delivery. The toxin domains are often shared between and within each system. We revisit halocin families and substantially expand the halocin C8 family, which was identified in diverse archaeal genomes and also certain bacteria. Finally, we employ features of protein sequences and genomic locus organization characteristic of archaeocins and polymorphic toxins to identify candidates for analogous but not necessarily homologous systems among uncharacterized protein families. This work confidently predicts that more than 1,600 archaeal proteins, currently annotated as "hypothetical" in public databases, are components of conflict and self-versus-nonself discrimination systems.

Indexed as

Genome, ArchaealAmino Acid SequenceAntimicrobial Cationic PeptidesArchaeaArchaeal ProteinsBacterial ProteinsEvolution, MolecularGenome, BacterialGenomicsMicrobial InteractionsToxins, BiologicalAntimicrobial Cationic PeptidesArchaeal ProteinsBacterial ProteinsToxins, Biologicalarchaeaarchaeocinspolymorphic toxinsquorum sensing

Identifiers

PMID31064832
PMCPMC6509191
OpenAlexW2943942909

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.