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Title:Time-sampled population sequencing reveals the interplay of selection and genetic drift in experimental evolution of Potato virus Y
Authors:ID Kutnjak, Denis (Author)
ID Elena, Santiago F. (Author)
ID Ravnikar, Maja (Author)
Files:.pdf PDF - Presentation file, download (973,06 KB)
MD5: EA316FE0868BF954084C901A30280E19
 
URL URL - Source URL, visit https://doi.org/10.1128/jvi.00690-17
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:RNA viruses are one of the fastest-evolving biological entities. Within their hosts, they exist as genetically diverse populations (i.e., viral mutant swarms), which are sculpted by different evolutionary mechanisms, such as mutation, natural selection, and genetic drift, and also the interactions between genetic variants within the mutant swarms. To elucidate the mechanisms that modulate the population diversity of an important plant-pathogenic virus, we performed evolution experiments with Potato virus Y (PVY) in potato genotypes that differ in their defense response against the virus. Using deep sequencing of small RNAs, we followed the temporal dynamics of standing and newly generated variations in the evolving viral lineages. A time-sampled approach allowed us to (i) reconstruct theoretical haplotypes in the starting population by using clustering of single nucleotide polymorphisms' trajectories and (ii) use quantitative population genetics approaches to estimate the contribution of selection and genetic drift, and their interplay, to the evolution of the virus. We detected imprints of strong selective sweeps and narrow genetic bottlenecks, followed by the shift in frequency of selected haplotypes. Comparison of patterns of viral evolution in differently susceptible host genotypes indicated possible diversifying evolution of PVY in the less-susceptible host (efficient in the accumulation of salicylic acid). IMPORTANCE High diversity of within-host populations of RNA viruses is an important aspect of their biology, since they represent a reservoir of genetic variants, which can enable quick adaptation of viruses to a changing environment. This study focuses on an important plant virus, Potato virus Y, and describes, at high resolution, temporal changes in the structure of viral populations within different potato genotypes. A novel and easy-to-implement computational approach was established to cluster single nucleotide polymorphisms into viral haplotypes from very short sequencing reads. During the experiment, a shift in the frequency of selected viral haplotypes was observed after a narrow genetic bottleneck, indicating an important role of the genetic drift in the evolution of the virus. On the other hand, a possible case of diversifying selection of the virus was observed in less susceptible host genotypes.
Keywords:Potato virus Y, experimental evolution, genetic drift, natural selection, sRNA deep sequencing
Publication status:Published
Publication version:Version of Record
Publication date:01.08.2017
Year of publishing:2017
Number of pages:str. 1-17
Numbering:Vol. 91, iss. 16
PID:20.500.12556/DiRROS-19715 New window
UDC:578
ISSN on article:0022-538X
DOI:10.1128/JVI .00690-17 New window
COBISS.SI-ID:4390479 New window
Publication date in DiRROS:24.07.2024
Views:299
Downloads:157
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Record is a part of a journal

Title:Journal of virology
Shortened title:J. virol.
Publisher:American Society for Microbiology.
ISSN:0022-538X
COBISS.SI-ID:1340948 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:L4-5525-2013
Name:Študij epidemiologije in raznolikosti mikrobnih povzročiteljev bolezni rastlin

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0165-2015
Name:Biotehnologija in sistemska biologija rastlin

Funder:Other - Other funder or multiple funders
Funding programme:Spain Ministry of Economy and Competitiveness
Project number:BFU2015-65037-P
Name:Grant

Funder:EC - European Commission
Funding programme:COST Action
Project number:FA1407

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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