Evidence map›Paper›PMID 29321589›Full record

ArticleScientific reports2018

Comparative analysis of low complexity regions in Plasmodia.

S R Chaudhry, N Lwin, D Phelan, A A Escalante, F U Battistuzzi

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. ThemSphere · 2025
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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

5 authors.

S R ChaudhryDepartment of Biological Sciences, Oakland University, Rochester, MI, USA.
N LwinDepartment of Biological Sciences, Oakland University, Rochester, MI, USA.
D PhelanDepartment of Biological Sciences, Oakland University, Rochester, MI, USA.
A A EscalanteInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.
F U BattistuzziDepartment of Biological Sciences, Oakland University, Rochester, MI, USA. battistu@oakland.edu.ORCID http://orcid.org/0000-0003-1852-2934

Funding

Understanding the evolution of pathogenicity with a genome complexity approachR15GM121981 · NIGMS · OAKLAND UNIVERSITY · PI BATTISTUZZI, FABIA URSULA · 2016 to 2016
$417k
NIGMS NIH HHS R15 GM121981
6 · The paper itself

Abstract

Low complexity regions (LCRs) are a common feature shared by many genomes, but their evolutionary and functional significance remains mostly unknown. At the core of the uncertainty is a poor understanding of the mechanisms that regulate their retention in genomes, whether driven by natural selection or neutral evolution. Applying a comparative approach of LCRs to multiple strains and species is a powerful approach to identify patterns of conservation in these regions. Using this method, we investigate the evolutionary history of LCRs in the genus Plasmodium based on orthologous protein coding genes shared by 11 species and strains from primate and rodent-infecting pathogens. We find multiple lines of evidence in support of natural selection as a major evolutionary force shaping the composition and conservation of LCRs through time and signatures that their evolutionary paths are species specific. Our findings add a comparative analysis perspective to the debate on the evolution of LCRs and harness the power of sequence comparisons to identify potential functionally important LCR candidates.

Indexed as

Genome, ProtozoanGenomicsBase CompositionComputational BiologyConserved SequenceEvolution, MolecularGene OntologyPlasmodium

Identifiers

PMID29321589
PMCPMC5762703

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Registered trials

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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.