Using whole genome sequencing to study American foulbrood epidemiology in honeybees.

American foulbrood (AFB), caused by Paenibacillus larvae, is a devastating disease in honeybees. In most countries, the disease is controlled through compulsory burning of symptomatic colonies causing major economic losses in apiculture. The pathogen is endemic to honeybees world-wide and is readily...

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Main Authors: Joakim Ågren, Marc Oliver Schäfer, Eva Forsgren
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5687730?pdf=render
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spelling doaj-366d80f88ea343e1bda8335f70bd33922020-11-25T01:30:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011211e018792410.1371/journal.pone.0187924Using whole genome sequencing to study American foulbrood epidemiology in honeybees.Joakim ÅgrenMarc Oliver SchäferEva ForsgrenAmerican foulbrood (AFB), caused by Paenibacillus larvae, is a devastating disease in honeybees. In most countries, the disease is controlled through compulsory burning of symptomatic colonies causing major economic losses in apiculture. The pathogen is endemic to honeybees world-wide and is readily transmitted via the movement of hive equipment or bees. Molecular epidemiology of AFB currently largely relies on placing isolates in one of four ERIC-genotypes. However, a more powerful alternative is multi-locus sequence typing (MLST) using whole-genome sequencing (WGS), which allows for high-resolution studies of disease outbreaks. To evaluate WGS as a tool for AFB-epidemiology, we applied core genome MLST (cgMLST) on isolates from a recent outbreak of AFB in Sweden. The high resolution of the cgMLST allowed different bacterial clones involved in the disease outbreak to be identified and to trace the source of infection. The source was found to be a beekeeper who had sold bees to two other beekeepers, proving the epidemiological link between them. No such conclusion could have been made using conventional MLST or ERIC-typing. This is the first time that WGS has been used to study the epidemiology of AFB. The results show that the technique is very powerful for high-resolution tracing of AFB-outbreaks.http://europepmc.org/articles/PMC5687730?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Joakim Ågren
Marc Oliver Schäfer
Eva Forsgren
spellingShingle Joakim Ågren
Marc Oliver Schäfer
Eva Forsgren
Using whole genome sequencing to study American foulbrood epidemiology in honeybees.
PLoS ONE
author_facet Joakim Ågren
Marc Oliver Schäfer
Eva Forsgren
author_sort Joakim Ågren
title Using whole genome sequencing to study American foulbrood epidemiology in honeybees.
title_short Using whole genome sequencing to study American foulbrood epidemiology in honeybees.
title_full Using whole genome sequencing to study American foulbrood epidemiology in honeybees.
title_fullStr Using whole genome sequencing to study American foulbrood epidemiology in honeybees.
title_full_unstemmed Using whole genome sequencing to study American foulbrood epidemiology in honeybees.
title_sort using whole genome sequencing to study american foulbrood epidemiology in honeybees.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description American foulbrood (AFB), caused by Paenibacillus larvae, is a devastating disease in honeybees. In most countries, the disease is controlled through compulsory burning of symptomatic colonies causing major economic losses in apiculture. The pathogen is endemic to honeybees world-wide and is readily transmitted via the movement of hive equipment or bees. Molecular epidemiology of AFB currently largely relies on placing isolates in one of four ERIC-genotypes. However, a more powerful alternative is multi-locus sequence typing (MLST) using whole-genome sequencing (WGS), which allows for high-resolution studies of disease outbreaks. To evaluate WGS as a tool for AFB-epidemiology, we applied core genome MLST (cgMLST) on isolates from a recent outbreak of AFB in Sweden. The high resolution of the cgMLST allowed different bacterial clones involved in the disease outbreak to be identified and to trace the source of infection. The source was found to be a beekeeper who had sold bees to two other beekeepers, proving the epidemiological link between them. No such conclusion could have been made using conventional MLST or ERIC-typing. This is the first time that WGS has been used to study the epidemiology of AFB. The results show that the technique is very powerful for high-resolution tracing of AFB-outbreaks.
url http://europepmc.org/articles/PMC5687730?pdf=render
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