Evidence map›Paper›PMID 28622346›Full record

ArticlePLoS neglected tropical diseases2017

Flavivirus and Filovirus EvoPrinters: New alignment tools for the comparative analysis of viral evolution.

Thomas Brody, Amarendra S Yavatkar, Dong Sun Park, Alexander Kuzin, Jermaine Ross, Ward F Odenwald

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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.

Thomas BrodyNeural Cell-Fate Determinants Section, NINDS, NIH, Bethesda, Maryland, United States of America.
Amarendra S YavatkarDivision of Intramural Research Information Technology Program, NINDS, NIH, Bethesda, Maryland, United States of America.
Dong Sun ParkDivision of Intramural Research Information Technology Program, NINDS, NIH, Bethesda, Maryland, United States of America.
Alexander KuzinNeural Cell-Fate Determinants Section, NINDS, NIH, Bethesda, Maryland, United States of America.
Jermaine RossNeural Cell-Fate Determinants Section, NINDS, NIH, Bethesda, Maryland, United States of America.
Ward F OdenwaldNeural Cell-Fate Determinants Section, NINDS, NIH, Bethesda, Maryland, United States of America.ORCID http://orcid.org/0000-0001-5791-9729
National Institute of Neurological Disorders and Stroke · USOffice of Extramural Research · US

Funding

Analysis of Neural Precursor Cell cis-Regulatory EnhancersZIANS002820 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI ODENWALD, WARD F · 2010 to 2017
$5.3M
6 · The paper itself

Abstract

backgroundFlavivirus and Filovirus infections are serious epidemic threats to human populations. Multi-genome comparative analysis of these evolving pathogens affords a view of their essential, conserved sequence elements as well as progressive evolutionary changes. While phylogenetic analysis has yielded important insights, the growing number of available genomic sequences makes comparisons between hundreds of viral strains challenging. We report here a new approach for the comparative analysis of these hemorrhagic fever viruses that can superimpose an unlimited number of one-on-one alignments to identify important features within genomes of interest. METHODOLOGY/PRINCIPAL FINDING: We have adapted EvoPrinter alignment algorithms for the rapid comparative analysis of Flavivirus or Filovirus sequences including Zika and Ebola strains. The user can input a full genome or partial viral sequence and then view either individual comparisons or generate color-coded readouts that superimpose hundreds of one-on-one alignments to identify unique or shared identity SNPs that reveal ancestral relationships between strains. The user can also opt to select a database genome in order to access a library of pre-aligned genomes of either 1,094 Flaviviruses or 460 Filoviruses for rapid comparative analysis with all database entries or a select subset. Using EvoPrinter search and alignment programs, we show the following: 1) superimposing alignment data from many related strains identifies lineage identity SNPs, which enable the assessment of sublineage complexity within viral outbreaks; 2) whole-genome SNP profile screens uncover novel Dengue2 and Zika recombinant strains and their parental lineages; 3) differential SNP profiling identifies host cell A-to-I hyper-editing within Ebola and Marburg viruses, and 4) hundreds of superimposed one-on-one Ebola genome alignments highlight ultra-conserved regulatory sequences, invariant amino acid codons and evolutionarily variable protein-encoding domains within a single genome. CONCLUSIONS/SIGNIFICANCE: EvoPrinter allows for the assessment of lineage complexity within Flavivirus or Filovirus outbreaks, identification of recombinant strains, highlights sequences that have undergone host cell A-to-I editing, and identifies unique input and database SNPs within highly conserved sequences. EvoPrinter's ability to superimpose alignment data from hundreds of strains onto a single genome has allowed us to identify unique Zika virus sublineages that are currently spreading in South, Central and North America, the Caribbean, and in China. This new set of integrated alignment programs should serve as a useful addition to existing tools for the comparative analysis of these viruses.

Indexed as

AnimalsComputational BiologyEvolution, MolecularFiloviridaeFlavivirusHumansMolecular EpidemiologySequence Alignment

Identifiers

PMID28622346
PMCPMC5489223
OpenAlexW2625817943

What OpenQuestion holds

Textmetadata
LicenceCC0
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.