Evidence map›Paper›PMID 24942570›Full record

ArticleJournal of virology2014

Analysis of human rotaviruses from a single location over an 18-year time span suggests that protein coadaption influences gene constellations.

Shu Zhang, Paul W McDonald, Travis A Thompson, Allison F Dennis, Asmik Akopov, Ewen F Kirkness, John T Patton, Sarah M McDonald

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2014. 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
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  13. Distinguishing the genotype 1 genes and proteins of human Wa-like rotaviruses vs. porcine rotaviruses.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
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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

8 authors at 5 institutions in 1 country.

Shu ZhangVirginia Tech Carilion School of Medicine and Research Institute, Roanoke, Virginia, USA.
Paul W McDonaldVirginia Tech Carilion School of Medicine and Research Institute, Roanoke, Virginia, USA.
Travis A ThompsonVirginia Tech Carilion School of Medicine and Research Institute, Roanoke, Virginia, USA.
Allison F DennisLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Asmik AkopovJ. Craig Venter Institute, Rockville, Maryland, USA.
Ewen F KirknessJ. Craig Venter Institute, Rockville, Maryland, USA.
John T PattonLaboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Sarah M McDonaldVirginia Tech Carilion School of Medicine and Research Institute, Roanoke, Virginia, USA Department of Biomedical Sciences and Pathobiology, Virginia-Maryland Regional College of Veterinary Medicine, Blacksburg, Virginia, USA mcdonaldsa@vtc.vt.edu.
J. Craig Venter Institute · USNational Institute of Allergy and Infectious Diseases · USVirginia Tech · USCarilion Clinic · USVirginia–Maryland College of Veterinary Medicine · US

Funding

Modification Of The Antigenicity & Virulence Of Rotaviruses By Reverse GeneticsZIAAI000788 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI PATTON, JOHN · 2009 to 2015
$4.2M
Intramural NIH HHSNIAID NIH HHS HHSN272200900007C
6 · The paper itself

Abstract

unlabelledRotaviruses (RVs) are 11-segmented, double-stranded RNA viruses that cause severe gastroenteritis in children. In addition to an error-prone genome replication mechanism, RVs can increase their genetic diversity by reassorting genes during host coinfection. Such exchanges allow RVs to acquire advantageous genes and adapt in the face of selective pressures. However, reassortment may also impose fitness costs if it unlinks genes/proteins that have accumulated compensatory, coadaptive mutations and that operate best when kept together. To better understand human RV evolutionary dynamics, we analyzed the genome sequences of 135 strains (genotype G1/G3/G4-P[8]-I1-C1-R1-A1-N1-T1-E1-H1) that were collected at a single location in Washington, DC, during the years 1974 to 1991. Intragenotypic phylogenetic trees were constructed for each viral gene using the nucleotide sequences, thereby defining novel allele level gene constellations (GCs) and illuminating putative reassortment events. The results showed that RVs with distinct GCs cocirculated during the vast majority of the collection years and that some of these GCs persisted in the community unchanged by reassortment. To investigate the influence of protein coadaptation on GC maintenance, we performed a mutual information-based analysis of the concatenated amino acid sequences and identified an extensive covariance network. Unexpectedly, amino acid covariation was highest between VP4 and VP2, which are structural components of the RV virion that are not thought to directly interact. These results suggest that GCs may be influenced by the selective constraints placed on functionally coadapted, albeit noninteracting, viral proteins. This work raises important questions about mutation-reassortment interplay and its impact on human RV evolution. IMPORTANCE: Rotaviruses are devastating human pathogens that cause severe diarrhea and kill >450,000 children each year. The virus can evolve by accumulating mutations and by acquiring new genes from other strains via a process called reassortment. However, little is known about the relationship between mutation accumulation and gene reassortment for rotaviruses and how it impacts viral evolution. In this study, we analyzed the genome sequences of human strains found in clinical fecal specimens that were collected at a single hospital over an 18-year time span. We found that many rotaviruses did not reassort their genes but instead maintained them as specific sets (i.e., constellations). By analyzing the encoded proteins, we discovered concurrent amino acid changes among them, which suggests that they are functionally coadapted to operate best when kept together. This study increases our understanding of how rotaviruses evolve over time in the human population.

Indexed as

Evolution, MolecularAdaptation, BiologicalChild, PreschoolCluster AnalysisDistrict of ColumbiaGenome, ViralHumansInfantMolecular Sequence DataPhylogenyRotavirusSequence Analysis, DNAViral ProteinsViral Proteins

Identifiers

PMID24942570
PMCPMC4136370
OpenAlexW2068039802

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.