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A novel application of RNase H2-dependent quantitative PCR for detection and quantification of Grosmannia clavigera, a mountain pine beetle fungal symbiont, in environmental samples

Identifieur interne : 000B47 ( Pmc/Curation ); précédent : 000B46; suivant : 000B48

A novel application of RNase H2-dependent quantitative PCR for detection and quantification of Grosmannia clavigera, a mountain pine beetle fungal symbiont, in environmental samples

Auteurs : Chandra H. Mcallister [Canada] ; Colleen E. Fortier [Canada] ; Kate R. St Onge [Canada] ; Bianca M. Sacchi [Canada] ; Meaghan J. Nawrot [Canada] ; Troy Locke [Canada] ; Janice E K. Cooke [Canada]

Source :

RBID : PMC:5982843

Abstract

Abstract

Mountain pine beetle (Dendroctonus ponderosae Hopkins; MPB) is an economically and ecologically important pest of pine species in western North America. Mountain pine beetles form complex multipartite relationships with microbial partners, including the ophiostomoid fungi Grosmannia clavigera (Robinson-Jeffrey and Davidson) Zipfel, de Beer and Wingfield, Ophiostoma montium (Rumbold) von Arx, Grosmannia aurea (Robinson-Jeffrey and Davidson) Zipfel, de Beer and Wingfield, Leptographium longiclavatum (Lee, Kim, and Breuil) and Leptographium terebrantis (Barras and Perry). These fungi are vectored by MPB to new pine hosts, where the fungi overcome host defenses to grow into the sapwood. A tree’s relative susceptibility to these fungi is conventionally assessed by measuring lesions that develop in response to fungal inoculation. However, these lesions represent a symptom of infection, representing both fungal growth and tree defense capacity. In order to more objectively assess fungal virulence and host tree susceptibility in studies of host–pathogen interactions, a reliable, consistent, sensitive method is required to accurately identify and quantify MPB-associated fungal symbionts in planta. We have adapted RNase H2-dependent PCR, a technique originally designed for rare allele discrimination, to develop a novel RNase H2-dependent quantitative PCR (rh-qPCR) assay that shows greater specificity and sensitivity than previously published PCR-based methods to quantify MPB fungal symbionts in pine xylem and MPB whole beetles. Two sets of assay probes were designed: one that amplifies a broad range of ophiostomoid species, and a second that amplifies G. clavigera but not other MPB-associated ophiostomoid species. Using these primers to quantify G. clavigera in pine stems, we provide evidence that lesion length does not accurately reflect the extent of fungal colonization along the stem nor the quantity of fungal growth within this colonized portion of stem. The sensitivity, specificity, reproducibility, cost effectiveness and high-throughput potential of the rh-qPCR assay makes the technology suitable for identification and quantification of a wide array of pathogenic and beneficial microbes that form associations with plants and other organisms, even when the microbial partner is present in low abundance.


Url:
DOI: 10.1093/treephys/tpx147
PubMed: 29329457
PubMed Central: 5982843

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PMC:5982843

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<p>Mountain pine beetle (
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Hopkins; MPB) is an economically and ecologically important pest of pine species in western North America. Mountain pine beetles form complex multipartite relationships with microbial partners, including the ophiostomoid fungi
<italic>Grosmannia clavigera</italic>
(Robinson-Jeffrey and Davidson) Zipfel, de Beer and Wingfield,
<italic>Ophiostoma montium</italic>
(Rumbold) von Arx,
<italic>Grosmannia aurea</italic>
(Robinson-Jeffrey and Davidson) Zipfel, de Beer and Wingfield,
<italic>Leptographium longiclavatum</italic>
(Lee, Kim, and Breuil)
<italic>and Leptographium terebrantis</italic>
(Barras and Perry). These fungi are vectored by MPB to new pine hosts, where the fungi overcome host defenses to grow into the sapwood. A tree’s relative susceptibility to these fungi is conventionally assessed by measuring lesions that develop in response to fungal inoculation. However, these lesions represent a symptom of infection, representing both fungal growth and tree defense capacity. In order to more objectively assess fungal virulence and host tree susceptibility in studies of host–pathogen interactions, a reliable, consistent, sensitive method is required to accurately identify and quantify MPB-associated fungal symbionts in planta. We have adapted RNase H2-dependent PCR, a technique originally designed for rare allele discrimination, to develop a novel RNase H2-dependent quantitative PCR (rh-qPCR) assay that shows greater specificity and sensitivity than previously published PCR-based methods to quantify MPB fungal symbionts in pine xylem and MPB whole beetles. Two sets of assay probes were designed: one that amplifies a broad range of ophiostomoid species, and a second that amplifies
<italic>G. clavigera</italic>
but not other MPB-associated ophiostomoid species. Using these primers to quantify
<italic>G. clavigera</italic>
in pine stems, we provide evidence that lesion length does not accurately reflect the extent of fungal colonization along the stem nor the quantity of fungal growth within this colonized portion of stem. The sensitivity, specificity, reproducibility, cost effectiveness and high-throughput potential of the rh-qPCR assay makes the technology suitable for identification and quantification of a wide array of pathogenic and beneficial microbes that form associations with plants and other organisms, even when the microbial partner is present in low abundance.</p>
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<name sortKey="Woo, Kl" uniqKey="Woo K">KL Woo</name>
</author>
<author>
<name sortKey="Watson, P" uniqKey="Watson P">P Watson</name>
</author>
<author>
<name sortKey="Mansfield, Sd" uniqKey="Mansfield S">SD Mansfield</name>
</author>
</analytic>
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<analytic>
<author>
<name sortKey="Yamaoka, Y" uniqKey="Yamaoka Y">Y Yamaoka</name>
</author>
<author>
<name sortKey="Hiratsuka, Y" uniqKey="Hiratsuka Y">Y Hiratsuka</name>
</author>
<author>
<name sortKey="Maruyama, P" uniqKey="Maruyama P">P Maruyama</name>
</author>
</analytic>
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<analytic>
<author>
<name sortKey="Zhu, Zx" uniqKey="Zhu Z">ZX Zhu</name>
</author>
<author>
<name sortKey="Zheng, L" uniqKey="Zheng L">L Zheng</name>
</author>
<author>
<name sortKey="Hsiang, T" uniqKey="Hsiang T">T Hsiang</name>
</author>
<author>
<name sortKey="Yang, Gl" uniqKey="Yang G">GL Yang</name>
</author>
<author>
<name sortKey="Zhao, Dl" uniqKey="Zhao D">DL Zhao</name>
</author>
<author>
<name sortKey="Lv, B" uniqKey="Lv B">B Lv</name>
</author>
<author>
<name sortKey="Chen, Yf" uniqKey="Chen Y">YF Chen</name>
</author>
<author>
<name sortKey="Huang, Jb" uniqKey="Huang J">JB Huang</name>
</author>
</analytic>
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<author>
<name sortKey="Zipfel, Rd" uniqKey="Zipfel R">RD Zipfel</name>
</author>
<author>
<name sortKey="Wilhelm De Beer, Z" uniqKey="Wilhelm De Beer Z">Z Wilhelm de Beer</name>
</author>
<author>
<name sortKey="Jacobs, K" uniqKey="Jacobs K">K Jacobs</name>
</author>
<author>
<name sortKey="Wingfield, Bc" uniqKey="Wingfield B">BC Wingfield</name>
</author>
<author>
<name sortKey="Wingfield, Mj" uniqKey="Wingfield M">MJ Wingfield</name>
</author>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Tree Physiol</journal-id>
<journal-id journal-id-type="iso-abbrev">Tree Physiol</journal-id>
<journal-id journal-id-type="publisher-id">treephys</journal-id>
<journal-title-group>
<journal-title>Tree Physiology</journal-title>
</journal-title-group>
<issn pub-type="ppub">0829-318X</issn>
<issn pub-type="epub">1758-4469</issn>
<publisher>
<publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">29329457</article-id>
<article-id pub-id-type="pmc">5982843</article-id>
<article-id pub-id-type="doi">10.1093/treephys/tpx147</article-id>
<article-id pub-id-type="publisher-id">tpx147</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Methods Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A novel application of RNase H2-dependent quantitative PCR for detection and quantification of
<italic>Grosmannia clavigera</italic>
, a mountain pine beetle fungal symbiont, in environmental samples</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>McAllister</surname>
<given-names>Chandra H</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fortier</surname>
<given-names>Colleen E</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>St Onge</surname>
<given-names>Kate R</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sacchi</surname>
<given-names>Bianca M</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nawrot</surname>
<given-names>Meaghan J</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Locke</surname>
<given-names>Troy</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-4990-628X</contrib-id>
<name>
<surname>Cooke</surname>
<given-names>Janice E K</given-names>
</name>
<xref ref-type="aff" rid="tpx147af1"></xref>
<xref ref-type="corresp" rid="tpx147cor1"></xref>
<pmc-comment>janice.cooke@ualberta.ca</pmc-comment>
</contrib>
</contrib-group>
<aff id="tpx147af1">Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada T6G 2E9</aff>
<author-notes>
<corresp id="tpx147cor1">Corresponding author (
<email>janice.cooke@ualberta.ca</email>
)</corresp>
<p>handling Editor Chung-Jui Tsai</p>
</author-notes>
<pub-date pub-type="collection">
<month>3</month>
<year>2018</year>
</pub-date>
<pub-date iso-8601-date="2018-01-10" pub-type="epub">
<day>10</day>
<month>1</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>10</day>
<month>1</month>
<year>2018</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on the . </pmc-comment>
<volume>38</volume>
<issue>3</issue>
<fpage>485</fpage>
<lpage>501</lpage>
<history>
<date date-type="received">
<day>16</day>
<month>5</month>
<year>2017</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>10</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>10</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author 2018. Published by Oxford University Press.</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="cc-by" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri xlink:href="tpx147.pdf"></self-uri>
<abstract>
<title>Abstract</title>
<p>Mountain pine beetle (
<italic>Dendroctonus ponderosae</italic>
Hopkins; MPB) is an economically and ecologically important pest of pine species in western North America. Mountain pine beetles form complex multipartite relationships with microbial partners, including the ophiostomoid fungi
<italic>Grosmannia clavigera</italic>
(Robinson-Jeffrey and Davidson) Zipfel, de Beer and Wingfield,
<italic>Ophiostoma montium</italic>
(Rumbold) von Arx,
<italic>Grosmannia aurea</italic>
(Robinson-Jeffrey and Davidson) Zipfel, de Beer and Wingfield,
<italic>Leptographium longiclavatum</italic>
(Lee, Kim, and Breuil)
<italic>and Leptographium terebrantis</italic>
(Barras and Perry). These fungi are vectored by MPB to new pine hosts, where the fungi overcome host defenses to grow into the sapwood. A tree’s relative susceptibility to these fungi is conventionally assessed by measuring lesions that develop in response to fungal inoculation. However, these lesions represent a symptom of infection, representing both fungal growth and tree defense capacity. In order to more objectively assess fungal virulence and host tree susceptibility in studies of host–pathogen interactions, a reliable, consistent, sensitive method is required to accurately identify and quantify MPB-associated fungal symbionts in planta. We have adapted RNase H2-dependent PCR, a technique originally designed for rare allele discrimination, to develop a novel RNase H2-dependent quantitative PCR (rh-qPCR) assay that shows greater specificity and sensitivity than previously published PCR-based methods to quantify MPB fungal symbionts in pine xylem and MPB whole beetles. Two sets of assay probes were designed: one that amplifies a broad range of ophiostomoid species, and a second that amplifies
<italic>G. clavigera</italic>
but not other MPB-associated ophiostomoid species. Using these primers to quantify
<italic>G. clavigera</italic>
in pine stems, we provide evidence that lesion length does not accurately reflect the extent of fungal colonization along the stem nor the quantity of fungal growth within this colonized portion of stem. The sensitivity, specificity, reproducibility, cost effectiveness and high-throughput potential of the rh-qPCR assay makes the technology suitable for identification and quantification of a wide array of pathogenic and beneficial microbes that form associations with plants and other organisms, even when the microbial partner is present in low abundance.</p>
</abstract>
<kwd-group>
<kwd>bark beetles</kwd>
<kwd>blue-stain fungi</kwd>
<kwd>defense responses</kwd>
<kwd>forest biotechnology</kwd>
<kwd>forest pathology</kwd>
<kwd>pine</kwd>
</kwd-group>
<funding-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">Natural Science and Engineering Research Council of Canada (NSERC)</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">TRIA Network</named-content>
</funding-source>
<award-id>NET GP 434810-12</award-id>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">Alberta Agriculture and Forestry, fRI Research</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">Ministry of Natural Resources and Forestry</named-content>
<named-content content-type="funder-identifier">10.13039/100008138</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">Saskatchewan Ministry of Environment</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">West Fraser and Weyerhaeuser</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">NSERC Undergraduate Student Research Awards</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">University of Alberta Undergraduate Research Initiative Stipend</named-content>
</funding-source>
</award-group>
<award-group award-type="grant">
<funding-source>
<named-content content-type="funder-name">NSERC Canada Graduate Scholarships-Master’s (CGS M)</named-content>
</funding-source>
</award-group>
</funding-group>
<counts>
<page-count count="17"></page-count>
</counts>
</article-meta>
</front>
</pmc>
</record>

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