Evidence map›Paper›PMID 24533140›Full record

ArticlePloS one2014

The impact of spatial structure on viral genomic diversity generated during adaptation to thermal stress.

Dilara Ally, Valorie R Wiss, Gail E Deckert, Danielle Green, Pavitra Roychoudhury, Holly A Wichman, Celeste J Brown, Stephen M Krone

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Dilara AllyDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America ; Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America.
Valorie R WissDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America ; Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America.
Gail E DeckertDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America ; Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America ; Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, Washington, United States of America.
Danielle GreenDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America.
Pavitra RoychoudhuryInstitute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America ; Department of Mathematics, University of Idaho, Moscow, Idaho, United States of America.
Holly A WichmanDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America ; Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America.
Celeste J BrownDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America ; Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America.
Stephen M KroneInstitute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, United States of America ; Department of Mathematics, University of Idaho, Moscow, Idaho, United States of America.

Funding

The Evolution of Protein FlexibilityP20RR016448 · NCRR · UNIVERSITY OF IDAHO · PI BROWN, CELESTE J · 2002 to 2011
$19.3M
Center for Research on Processes in EvolutionP20GM103397 · NIGMS · UNIVERSITY OF IDAHO · PI FORNEY, LARRY J · 2012 to 2012
$1.9M
NCRR NIH HHS 5P20 RR016448-10NCRR NIH HHS P20 RR016448NIGMS NIH HHS 8P20 GM103397-10NIGMS NIH HHS P20 GM103397
6 · The paper itself

Abstract

backgroundMost clinical and natural microbial communities live and evolve in spatially structured environments. When changes in environmental conditions trigger evolutionary responses, spatial structure can impact the types of adaptive response and the extent to which they spread. In particular, localized competition in a spatial landscape can lead to the emergence of a larger number of different adaptive trajectories than would be found in well-mixed populations. Our goal was to determine how two levels of spatial structure affect genomic diversity in a population and how this diversity is manifested spatially. METHODOLOGY/PRINCIPAL

findingsWe serially transferred bacteriophage populations growing at high temperatures (40°C) on agar plates for 550 generations at two levels of spatial structure. The level of spatial structure was determined by whether the physical locations of the phage subsamples were preserved or disrupted at each passage to fresh bacterial host populations. When spatial structure of the phage populations was preserved, there was significantly greater diversity on a global scale with restricted and patchy distribution. When spatial structure was disrupted with passaging to fresh hosts, beneficial mutants were spread across the entire plate. This resulted in reduced diversity, possibly due to clonal interference as the most fit mutants entered into competition on a global scale. Almost all substitutions present at the end of the adaptation in the populations with disrupted spatial structure were also present in the populations with structure preserved. CONCLUSIONS/SIGNIFICANCE: Our results are consistent with the patchy nature of the spread of adaptive mutants in a spatial landscape. Spatial structure enhances diversity and slows fixation of beneficial mutants. This added diversity could be beneficial in fluctuating environments. We also connect observed substitutions and their effects on fitness to aspects of phage biology, and we provide evidence that some substitutions exclude each other.

Indexed as

Genome, ViralHot TemperatureAcclimatizationBacteriophagesCluster AnalysisEnvironmentEscherichia coliGenetic VariationGenotypeMutationOligonucleotidesPhenotypeSequence Analysis, DNAOligonucleotides

Identifiers

PMID24533140
PMCPMC3922989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.