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Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing

BACKGROUND: Deep sequencing of viruses isolated from infected hosts is an efficient way to measure population-genetic variation and can reveal patterns of dispersal and natural selection. In this study, we mined existing Illumina sequence reads to investigate single-nucleotide polymorphisms (SNPs) w...

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Autores principales: Cornman, Robert Scott, Boncristiani, Humberto, Dainat, Benjamin, Chen, Yanping, vanEngelsdorp, Dennis, Weaver, Daniel, Evans, Jay D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599929/
https://www.ncbi.nlm.nih.gov/pubmed/23497218
http://dx.doi.org/10.1186/1471-2164-14-154
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author Cornman, Robert Scott
Boncristiani, Humberto
Dainat, Benjamin
Chen, Yanping
vanEngelsdorp, Dennis
Weaver, Daniel
Evans, Jay D
author_facet Cornman, Robert Scott
Boncristiani, Humberto
Dainat, Benjamin
Chen, Yanping
vanEngelsdorp, Dennis
Weaver, Daniel
Evans, Jay D
author_sort Cornman, Robert Scott
collection PubMed
description BACKGROUND: Deep sequencing of viruses isolated from infected hosts is an efficient way to measure population-genetic variation and can reveal patterns of dispersal and natural selection. In this study, we mined existing Illumina sequence reads to investigate single-nucleotide polymorphisms (SNPs) within two RNA viruses of the Western honey bee (Apis mellifera), deformed wing virus (DWV) and Israel acute paralysis virus (IAPV). All viral RNA was extracted from North American samples of honey bees or, in one case, the ectoparasitic mite Varroa destructor. RESULTS: Coverage depth was generally lower for IAPV than DWV, and marked gaps in coverage occurred in several narrow regions (< 50 bp) of IAPV. These coverage gaps occurred across sequencing runs and were virtually unchanged when reads were re-mapped with greater permissiveness (up to 8% divergence), suggesting a recurrent sequencing artifact rather than strain divergence. Consensus sequences of DWV for each sample showed little phylogenetic divergence, low nucleotide diversity, and strongly negative values of Fu and Li’s D statistic, suggesting a recent population bottleneck and/or purifying selection. The Kakugo strain of DWV fell outside of all other DWV sequences at 100% bootstrap support. IAPV consensus sequences supported the existence of multiple clades as had been previously reported, and Fu and Li’s D was closer to neutral expectation overall, although a sliding-window analysis identified a significantly positive D within the protease region, suggesting selection maintains diversity in that region. Within-sample mean diversity was comparable between the two viruses on average, although for both viruses there was substantial variation among samples in mean diversity at third codon positions and in the number of high-diversity sites. F(ST) values were bimodal for DWV, likely reflecting neutral divergence in two low-diversity populations, whereas IAPV had several sites that were strong outliers with very low F(ST). CONCLUSIONS: This initial survey of genetic variation within honey bee RNA viruses suggests future directions for studies examining the underlying causes of population-genetic structure in these economically important pathogens.
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spelling pubmed-35999292013-03-17 Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing Cornman, Robert Scott Boncristiani, Humberto Dainat, Benjamin Chen, Yanping vanEngelsdorp, Dennis Weaver, Daniel Evans, Jay D BMC Genomics Research Article BACKGROUND: Deep sequencing of viruses isolated from infected hosts is an efficient way to measure population-genetic variation and can reveal patterns of dispersal and natural selection. In this study, we mined existing Illumina sequence reads to investigate single-nucleotide polymorphisms (SNPs) within two RNA viruses of the Western honey bee (Apis mellifera), deformed wing virus (DWV) and Israel acute paralysis virus (IAPV). All viral RNA was extracted from North American samples of honey bees or, in one case, the ectoparasitic mite Varroa destructor. RESULTS: Coverage depth was generally lower for IAPV than DWV, and marked gaps in coverage occurred in several narrow regions (< 50 bp) of IAPV. These coverage gaps occurred across sequencing runs and were virtually unchanged when reads were re-mapped with greater permissiveness (up to 8% divergence), suggesting a recurrent sequencing artifact rather than strain divergence. Consensus sequences of DWV for each sample showed little phylogenetic divergence, low nucleotide diversity, and strongly negative values of Fu and Li’s D statistic, suggesting a recent population bottleneck and/or purifying selection. The Kakugo strain of DWV fell outside of all other DWV sequences at 100% bootstrap support. IAPV consensus sequences supported the existence of multiple clades as had been previously reported, and Fu and Li’s D was closer to neutral expectation overall, although a sliding-window analysis identified a significantly positive D within the protease region, suggesting selection maintains diversity in that region. Within-sample mean diversity was comparable between the two viruses on average, although for both viruses there was substantial variation among samples in mean diversity at third codon positions and in the number of high-diversity sites. F(ST) values were bimodal for DWV, likely reflecting neutral divergence in two low-diversity populations, whereas IAPV had several sites that were strong outliers with very low F(ST). CONCLUSIONS: This initial survey of genetic variation within honey bee RNA viruses suggests future directions for studies examining the underlying causes of population-genetic structure in these economically important pathogens. BioMed Central 2013-03-07 /pmc/articles/PMC3599929/ /pubmed/23497218 http://dx.doi.org/10.1186/1471-2164-14-154 Text en Copyright ©2013 Cornman et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cornman, Robert Scott
Boncristiani, Humberto
Dainat, Benjamin
Chen, Yanping
vanEngelsdorp, Dennis
Weaver, Daniel
Evans, Jay D
Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing
title Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing
title_full Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing
title_fullStr Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing
title_full_unstemmed Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing
title_short Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing
title_sort population-genomic variation within rna viruses of the western honey bee, apis mellifera, inferred from deep sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599929/
https://www.ncbi.nlm.nih.gov/pubmed/23497218
http://dx.doi.org/10.1186/1471-2164-14-154
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