Evidence map›Paper›PMID 25153520›Full record

ArticlePloS one2014

Molecular and evolutionary analysis of NEAr-iron Transporter (NEAT) domains.

Erin S Honsa, Anthony W Maresso, Sarah K Highlander

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Molecular basis of hemoglobin binding and heme removal inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Heme Uptake inApplied and environmental microbiology · 2020
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. HumanmBio · 2019
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Iron and zinc exploitation during bacterial pathogenesis.Metallomics : integrated biometal science · 2015
    Review
  19. 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

3 authors at 2 institutions in 1 country.

Erin S HonsaDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.
Anthony W MaressoDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.
Sarah K HighlanderGenomic Medicine, The J. Craig Venter Institute, La Jolla, California, United States of America.
Baylor College of Medicine · USJ. Craig Venter Institute · US

Funding

Nutrient Uptake during Anthrax DiseaseR01AI097167 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI MARESSO, ANTHONY W · 2012 to 2022
$3.5M
Branched Chain Amino Acid Metabolism During AnthraxR21AI146481 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI MARESSO, ANTHONY W · 2019 to 2020
$440k
Targeting Heme Transporters for Improved Vaccines against AnthraxR21AI109465 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI MARESSO, ANTHONY W · 2015 to 2016
$435k
NIAID NIH HHS R01 AI097167NIAID NIH HHS R21 AI109465NIAID NIH HHS R21 AI146481PHS HHS A1069697PHS HHS A1097167
6 · The paper itself

Abstract

Iron is essential for bacterial survival, being required for numerous biological processes. NEAr-iron Transporter (NEAT) domains have been studied in pathogenic Gram-positive bacteria to understand how their proteins obtain heme as an iron source during infection. While a 2002 study initially discovered and annotated the NEAT domain encoded by the genomes of several Gram-positive bacteria, there remains a scarcity of information regarding the conservation and distribution of NEAT domains throughout the bacterial kingdom, and whether these domains are restricted to pathogenic bacteria. This study aims to expand upon initial bioinformatics analysis of predicted NEAT domains, by exploring their evolution and conserved function. This information was used to identify new candidate domains in both pathogenic and nonpathogenic organisms. We also searched metagenomic datasets, specifically sequence from the Human Microbiome Project. Here, we report a comprehensive phylogenetic analysis of 343 NEAT domains, encoded by Gram-positive bacteria, mostly within the phylum Firmicutes, with the exception of Eggerthella sp. (Actinobacteria) and an unclassified Mollicutes bacterium (Tenericutes). No new NEAT sequences were identified in the HMP dataset. We detected specific groups of NEAT domains based on phylogeny of protein sequences, including a cluster of novel clostridial NEAT domains. We also identified environmental and soil organisms that encode putative NEAT proteins. Biochemical analysis of heme binding by a NEAT domain from a protein encoded by the soil-dwelling organism Paenibacillus polymyxa demonstrated that the domain is homologous in function to NEAT domains encoded by pathogenic bacteria. Together, this study provides the first global bioinformatics analysis and phylogenetic evidence that NEAT domains have a strong conservation of function, despite group-specific differences at the amino acid level. These findings will provide information useful for future projects concerning the structure and function of NEAT domains, particularly in pathogens where they have yet to be studied.

Indexed as

Amino Acid SequenceBacterial ProteinsBinding SitesGram-Positive BacteriaPhylogenyProtein Structure, TertiaryBacterial Proteins

Identifiers

PMID25153520
PMCPMC4143258
OpenAlexW1976810206

What OpenQuestion holds

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LicenceCC BY
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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.