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Population structure of Sclerotinia subarctica and Sclerotinia sclerotiorum in England, Scotland and Norway

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Clarkson, John P., Warmington, Rachel J., Walley, Peter G., Denton-Giles, Matthew, Barbetti, Martin J., Brodal, Guro and Nordskog, Berit (2017) Population structure of Sclerotinia subarctica and Sclerotinia sclerotiorum in England, Scotland and Norway. Frontiers in Microbiology, 8 . 490 . doi:10.3389/fmicb.2017.00490 ISSN 1664-302X.

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Official URL: http://dx.doi.org/10.3389/fmicb.2017.00490

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Abstract

Sclerotinia species are important fungal pathogens of a wide range of crops and wild host plants. While the biology and population structure of Sclerotinia sclerotiorum has been well-studied, little information is available for the related species S. subarctica. In this study, Sclerotinia isolates were collected from different crop plants and the wild host Ranuculus ficaria (meadow buttercup) in England, Scotland, and Norway to determine the incidence of Sclerotinia subarctica and examine the population structure of this pathogen for the first time. Incidence was very low in England, comprising only 4.3% of isolates while moderate and high incidence of S. subarctica was identified in Scotland and Norway, comprising 18.3 and 48.0% of isolates respectively. Characterization with eight microsatellite markers identified 75 haplotypes within a total of 157 isolates over the three countries with a few haplotypes in Scotland and Norway sampled at a higher frequency than the rest across multiple locations and host plants. In total, eight microsatellite haplotypes were shared between Scotland and Norway while none were shared with England. Bayesian and principal component analyses revealed common ancestry and clustering of Scottish and Norwegian S. subarctica isolates while English isolates were assigned to a separate population cluster and exhibited low diversity indicative of isolation. Population structure was also examined for S. sclerotiorum isolates from England, Scotland, Norway, and Australia using microsatellite data, including some from a previous study in England. In total, 484 haplotypes were identified within 800 S. sclerotiorum isolates with just 15 shared between England and Scotland and none shared between any other countries. Bayesian and principal component analyses revealed a common ancestry and clustering of the English and Scottish isolates while Norwegian and Australian isolates were assigned to separate clusters. Furthermore, sequencing part of the intergenic spacer (IGS) region of the rRNA gene resulted in 26 IGS haplotypes within 870 S. sclerotiorum isolates, nine of which had not been previously identified and two of which were also widely distributed across different countries. S. subarctica therefore has a multiclonal population structure similar to S. sclerotiorum, but has a different ancestry and distribution across England, Scotland, and Norway.

Item Type: Journal Article
Subjects: S Agriculture > SB Plant culture
Divisions: Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Library of Congress Subject Headings (LCSH): Sclerotinia sclerotiorum, Sclerotinia, Plant diseases, Root rots, Fungal diseases of plants, Field crops -- Diseases and pests -- Control
Journal or Publication Title: Frontiers in Microbiology
Publisher: Frontiers Research Foundation
ISSN: 1664-302X
Official Date: 4 April 2017
Dates:
DateEvent
4 April 2017Published
9 March 2017Accepted
Volume: 8
Article Number: 490
DOI: 10.3389/fmicb.2017.00490
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 31 May 2017
Date of first compliant Open Access: 1 June 2017
Funder: Great Britain. Department for Environment, Food and Rural Affairs (DEFRA), Great Britain. Agriculture and Horticulture Development Board (AHDB), Research Funding for Agriculture and the Food Industry (MATFONDAVTALE), Australian Grains Research and Development Corporation (GRDC), Regionale Forskingsfond, Vestlandet
Grant number: project IF0188 , project CP80, 207767, 224787, CUR00023

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