Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus

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Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus. / Hagberg, Emma E.; Pedersen, Anders G.; Larsen, Lars E.; Krarup, Anders.

I: Journal of General Virology, Bind 98, Nr. 6, 000777, 06.2017, s. 1360-1371.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hagberg, EE, Pedersen, AG, Larsen, LE & Krarup, A 2017, 'Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus', Journal of General Virology, bind 98, nr. 6, 000777, s. 1360-1371. https://doi.org/10.1099/jgv.0.000777

APA

Hagberg, E. E., Pedersen, A. G., Larsen, L. E., & Krarup, A. (2017). Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus. Journal of General Virology, 98(6), 1360-1371. [000777]. https://doi.org/10.1099/jgv.0.000777

Vancouver

Hagberg EE, Pedersen AG, Larsen LE, Krarup A. Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus. Journal of General Virology. 2017 jun.;98(6):1360-1371. 000777. https://doi.org/10.1099/jgv.0.000777

Author

Hagberg, Emma E. ; Pedersen, Anders G. ; Larsen, Lars E. ; Krarup, Anders. / Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus. I: Journal of General Virology. 2017 ; Bind 98, Nr. 6. s. 1360-1371.

Bibtex

@article{b04b016e155d4a28bbd2672e6c73e708,
title = "Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus",
abstract = "Aleutian mink disease virus (AMDV) is a frequently encountered pathogen associated with mink farming. Previous phylogenetic analyses of AMDV have been based on shorter and more conserved parts of the genome, e.g. the partial NS1 gene. Such fragments are suitable for detection but are less useful for elucidating transmission pathways while sequencing entire viral genomes provides additional informative sites and often results in better-resolved phylogenies. We explore how whole-genome sequencing can benefit investigations of AMDV transmission by reconstructing the relationships between AMDV field samples from a Danish outbreak. We show that whole-genome phylogenies are much better resolved than those based on the partial NS1 gene sequences extracted from the same alignment. Well-resolved phylogenies contain more information about the underlying transmission trees and are useful for understanding the spread of a pathogen. In the main case investigated here, the transmission path suggested by the tree structure was supported by epidemiological data. The use of molecular clock models further improved tree resolution and provided time estimates for the viral ancestors consistent with the proposed direction of spread. It was however impossible to infer transmission pathways from the partial NS1 gene tree, since all samples from the case farms branched out from a single internal node. A sliding window analysis showed that there were no shorter genomic regions providing the same phylogenetic resolution as the entire genome. Altogether, these results suggest that phylogenetic analyses based on whole-genome sequencing taking into account sampling dates and epidemiological data is a promising set of tools for clarifying AMDV transmission.",
keywords = "Aleutian mink disease virus (AMDV), Next-generation sequencing (NGS), Phylogeny, Viral outbreak investigation, Whole-genome sequencing",
author = "Hagberg, {Emma E.} and Pedersen, {Anders G.} and Larsen, {Lars E.} and Anders Krarup",
year = "2017",
month = jun,
doi = "10.1099/jgv.0.000777",
language = "English",
volume = "98",
pages = "1360--1371",
journal = "Journal of General Virology",
issn = "0022-1317",
publisher = "Society for General Microbiology",
number = "6",

}

RIS

TY - JOUR

T1 - Evolutionary analysis of whole-genome sequences confirms inter-farm transmission of Aleutian mink disease virus

AU - Hagberg, Emma E.

AU - Pedersen, Anders G.

AU - Larsen, Lars E.

AU - Krarup, Anders

PY - 2017/6

Y1 - 2017/6

N2 - Aleutian mink disease virus (AMDV) is a frequently encountered pathogen associated with mink farming. Previous phylogenetic analyses of AMDV have been based on shorter and more conserved parts of the genome, e.g. the partial NS1 gene. Such fragments are suitable for detection but are less useful for elucidating transmission pathways while sequencing entire viral genomes provides additional informative sites and often results in better-resolved phylogenies. We explore how whole-genome sequencing can benefit investigations of AMDV transmission by reconstructing the relationships between AMDV field samples from a Danish outbreak. We show that whole-genome phylogenies are much better resolved than those based on the partial NS1 gene sequences extracted from the same alignment. Well-resolved phylogenies contain more information about the underlying transmission trees and are useful for understanding the spread of a pathogen. In the main case investigated here, the transmission path suggested by the tree structure was supported by epidemiological data. The use of molecular clock models further improved tree resolution and provided time estimates for the viral ancestors consistent with the proposed direction of spread. It was however impossible to infer transmission pathways from the partial NS1 gene tree, since all samples from the case farms branched out from a single internal node. A sliding window analysis showed that there were no shorter genomic regions providing the same phylogenetic resolution as the entire genome. Altogether, these results suggest that phylogenetic analyses based on whole-genome sequencing taking into account sampling dates and epidemiological data is a promising set of tools for clarifying AMDV transmission.

AB - Aleutian mink disease virus (AMDV) is a frequently encountered pathogen associated with mink farming. Previous phylogenetic analyses of AMDV have been based on shorter and more conserved parts of the genome, e.g. the partial NS1 gene. Such fragments are suitable for detection but are less useful for elucidating transmission pathways while sequencing entire viral genomes provides additional informative sites and often results in better-resolved phylogenies. We explore how whole-genome sequencing can benefit investigations of AMDV transmission by reconstructing the relationships between AMDV field samples from a Danish outbreak. We show that whole-genome phylogenies are much better resolved than those based on the partial NS1 gene sequences extracted from the same alignment. Well-resolved phylogenies contain more information about the underlying transmission trees and are useful for understanding the spread of a pathogen. In the main case investigated here, the transmission path suggested by the tree structure was supported by epidemiological data. The use of molecular clock models further improved tree resolution and provided time estimates for the viral ancestors consistent with the proposed direction of spread. It was however impossible to infer transmission pathways from the partial NS1 gene tree, since all samples from the case farms branched out from a single internal node. A sliding window analysis showed that there were no shorter genomic regions providing the same phylogenetic resolution as the entire genome. Altogether, these results suggest that phylogenetic analyses based on whole-genome sequencing taking into account sampling dates and epidemiological data is a promising set of tools for clarifying AMDV transmission.

KW - Aleutian mink disease virus (AMDV)

KW - Next-generation sequencing (NGS)

KW - Phylogeny

KW - Viral outbreak investigation

KW - Whole-genome sequencing

U2 - 10.1099/jgv.0.000777

DO - 10.1099/jgv.0.000777

M3 - Journal article

C2 - 28612703

AN - SCOPUS:85023603049

VL - 98

SP - 1360

EP - 1371

JO - Journal of General Virology

JF - Journal of General Virology

SN - 0022-1317

IS - 6

M1 - 000777

ER -

ID: 247394411