Evidence map›Paper›PMID 34061031›Full record

ArticleeLife2021

Bacterial death and TRADD-N domains help define novel apoptosis and immunity mechanisms shared by prokaryotes and metazoans.

Gurmeet Kaur, Lakshminarayan M Iyer, A Maxwell Burroughs, L Aravind

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  6. Amyloids in bacterial antiphage defence.Nature microbiology · 2025
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  12. Review
  13. Targeted hypermutation of putative antigen sensors in multicellular bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  18. Apprehending the NADViruses · 2022
    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

4 authors at 1 institution in 1 country.

Gurmeet Kaur *Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States.ORCID 0000-0003-2442-1515
Lakshminarayan M Iyer *Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-4844-2022
A Maxwell BurroughsComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-2229-8771
L AravindComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States.ORCID 0000-0003-0771-253X
National Institutes of Health · US

Funding

Evolutionary Analysis and Comparative Genomics of Protein SuperfamiliesZIALM594244 · NLM · NATIONAL LIBRARY OF MEDICINE · PI ARAVIND, L · 2009 to 2025
$20.3M
Gene Regulatory Sequences from Whole Chromosomes/genomesZ01LM000084 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 1998 to 2008
$627k
NATIONAL COMPANION ANIMAL HEALTH SURVEILLANCE SYSTEMF38LM000084 · NLM · UNIVERSITY OF CALIFORNIA DAVIS · PI GOBAR, GLENNA M · 1999 to 1999
–
Intramural NIH HHS Z01 LM000084NLM NIH HHS F38 LM000084
6 · The paper itself

Abstract

Several homologous domains are shared by eukaryotic immunity and programmed cell-death systems and poorly understood bacterial proteins. Recent studies show these to be components of a network of highly regulated systems connecting apoptotic processes to counter-invader immunity, in prokaryotes with a multicellular habit. However, the provenance of key adaptor domains, namely those of the Death-like and TRADD-N superfamilies, a quintessential feature of metazoan apoptotic systems, remained murky. Here, we use sensitive sequence analysis and comparative genomics methods to identify unambiguous bacterial homologs of the Death-like and TRADD-N superfamilies. We show the former to have arisen as part of a radiation of effector-associated α-helical adaptor domains that likely mediate homotypic interactions bringing together diverse effector and signaling domains in predicted bacterial apoptosis- and counter-invader systems. Similarly, we show that the TRADD-N domain defines a key, widespread signaling bridge that links effector deployment to invader-sensing in multicellular bacterial and metazoan counter-invader systems. TRADD-N domains are expanded in aggregating marine invertebrates and point to distinctive diversifying immune strategies probably directed both at RNA and retroviruses and cellular pathogens that might infect such communities. These TRADD-N and Death-like domains helped identify several new bacterial and metazoan counter-invader systems featuring underappreciated, common functional principles: the use of intracellular invader-sensing lectin-like (NPCBM and FGS), transcription elongation GreA/B-C, glycosyltransferase-4 family, inactive NTPase (serving as nucleic acid receptors), and invader-sensing GTPase switch domains. Finally, these findings point to the possibility of multicellular bacteria-stem metazoan symbiosis in the emergence of the immune/apoptotic systems of the latter.

Indexed as

ApoptosisDeath Domain SuperfamilyBacteriaBacterial ProteinsEvolution, MolecularGenomicsHost-Pathogen InteractionsMicrobial ViabilityPhylogenyProkaryotic CellsSignal TransductionSymbiosisTNF Receptor-Associated Death Domain ProteinBacterial ProteinsTNF Receptor-Associated Death Domain Proteinapoptosisbacteriabiological conflictscomputational biologyimmunityimmunologyinflammationmarine animalsmulticellularitynonesystems biology

Identifiers

PMID34061031
PMCPMC8195603
OpenAlexW3164683859

What OpenQuestion holds

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LicenceCC0
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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.