Direct identification of Monilinia brown rot fungi on infected fruits by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry

Background Brown rot of stone and pome fruit is a serious fungal disease that is mainly caused by four species in the genus Monilinia . Of these four species, Monilinia fructicola is the most devastating pathogen and of particular concern because it undergoes sexual recombination and has recently be...

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Veröffentlicht in:Chemical and biological technologies in agriculture 2016-03, Vol.3 (1), p.1-10, Article 7
Hauptverfasser: Freimoser, Florian Matthias, Hilber-Bodmer, Maja, Brunisholz, René, Drissner, David
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creator Freimoser, Florian Matthias
Hilber-Bodmer, Maja
Brunisholz, René
Drissner, David
description Background Brown rot of stone and pome fruit is a serious fungal disease that is mainly caused by four species in the genus Monilinia . Of these four species, Monilinia fructicola is the most devastating pathogen and of particular concern because it undergoes sexual recombination and has recently been introduced to Europe. So far, Monilinia diagnosis required a multiplex PCR analysis and gel electrophoresis. In contrast, intact-protein biotyping by mass spectrometry is considerably faster and cheaper. However, it usually requires an in vitro cultivation step prior to the MALDI analysis. It was thus attempted to establish a method for the identification of Monilinia species by MALDI biotyping with fungal material derived directly from infected fruits; without an in vitro cultivation step. Results To simplify and render MALDI biotyping of fungi more reliable, an improved protocol for the preparation of crude protein extracts and for collecting MALDI-TOF MS data for biotyping was developed. We generated reference spectra for all four Monilinia brown rot fungi and were able to reliably identify Monilinia species based on fungal material that was collected directly from infected fruits. This method allowed the correct, fast and economic identification of M. fructicola and M. laxa , while M. fructigena and M. polystroma could not be distinguished reliably. Conclusions MALDI biotyping may be used as an economical tool for the routine diagnosis of Monilinia brown rot fungi on infected fruits. Graphical abstract MALDI-TOF and MALDI-TOF/TOF MS workflows for the biotyping and analysis of Monilinia species. Optimization of protein extraction, own MSP generation and data analysis permitted the fast and reliable identification of M. fructicola , M. laxa and M. fructigena/M. polystroma
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Of these four species, Monilinia fructicola is the most devastating pathogen and of particular concern because it undergoes sexual recombination and has recently been introduced to Europe. So far, Monilinia diagnosis required a multiplex PCR analysis and gel electrophoresis. In contrast, intact-protein biotyping by mass spectrometry is considerably faster and cheaper. However, it usually requires an in vitro cultivation step prior to the MALDI analysis. It was thus attempted to establish a method for the identification of Monilinia species by MALDI biotyping with fungal material derived directly from infected fruits; without an in vitro cultivation step. Results To simplify and render MALDI biotyping of fungi more reliable, an improved protocol for the preparation of crude protein extracts and for collecting MALDI-TOF MS data for biotyping was developed. We generated reference spectra for all four Monilinia brown rot fungi and were able to reliably identify Monilinia species based on fungal material that was collected directly from infected fruits. This method allowed the correct, fast and economic identification of M. fructicola and M. laxa , while M. fructigena and M. polystroma could not be distinguished reliably. Conclusions MALDI biotyping may be used as an economical tool for the routine diagnosis of Monilinia brown rot fungi on infected fruits. Graphical abstract MALDI-TOF and MALDI-TOF/TOF MS workflows for the biotyping and analysis of Monilinia species. Optimization of protein extraction, own MSP generation and data analysis permitted the fast and reliable identification of M. fructicola , M. laxa and M. fructigena/M. polystroma</description><identifier>ISSN: 2196-5641</identifier><identifier>EISSN: 2196-5641</identifier><identifier>DOI: 10.1186/s40538-016-0058-4</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Life Sciences ; Monilinia ; Monilinia fructicola ; Organic Chemistry ; Plant Biochemistry ; Plant Physiology ; Soil Science &amp; Conservation</subject><ispartof>Chemical and biological technologies in agriculture, 2016-03, Vol.3 (1), p.1-10, Article 7</ispartof><rights>Freimoser et al. 2016</rights><rights>Chemical and Biological Technologies in Agriculture is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-2d108c3dcc9182fb86e1f3a916dd8d540bacae76984e32ea1ff71d755015b0713</citedby><cites>FETCH-LOGICAL-c462t-2d108c3dcc9182fb86e1f3a916dd8d540bacae76984e32ea1ff71d755015b0713</cites><orcidid>0000-0001-7607-3108</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1186/s40538-016-0058-4$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1186/s40538-016-0058-4$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,27901,27902,41096,41464,42165,42533,51294,51551</link.rule.ids></links><search><creatorcontrib>Freimoser, Florian Matthias</creatorcontrib><creatorcontrib>Hilber-Bodmer, Maja</creatorcontrib><creatorcontrib>Brunisholz, René</creatorcontrib><creatorcontrib>Drissner, David</creatorcontrib><title>Direct identification of Monilinia brown rot fungi on infected fruits by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry</title><title>Chemical and biological technologies in agriculture</title><addtitle>Chem. Biol. Technol. Agric</addtitle><description>Background Brown rot of stone and pome fruit is a serious fungal disease that is mainly caused by four species in the genus Monilinia . Of these four species, Monilinia fructicola is the most devastating pathogen and of particular concern because it undergoes sexual recombination and has recently been introduced to Europe. So far, Monilinia diagnosis required a multiplex PCR analysis and gel electrophoresis. In contrast, intact-protein biotyping by mass spectrometry is considerably faster and cheaper. However, it usually requires an in vitro cultivation step prior to the MALDI analysis. It was thus attempted to establish a method for the identification of Monilinia species by MALDI biotyping with fungal material derived directly from infected fruits; without an in vitro cultivation step. Results To simplify and render MALDI biotyping of fungi more reliable, an improved protocol for the preparation of crude protein extracts and for collecting MALDI-TOF MS data for biotyping was developed. We generated reference spectra for all four Monilinia brown rot fungi and were able to reliably identify Monilinia species based on fungal material that was collected directly from infected fruits. This method allowed the correct, fast and economic identification of M. fructicola and M. laxa , while M. fructigena and M. polystroma could not be distinguished reliably. Conclusions MALDI biotyping may be used as an economical tool for the routine diagnosis of Monilinia brown rot fungi on infected fruits. Graphical abstract MALDI-TOF and MALDI-TOF/TOF MS workflows for the biotyping and analysis of Monilinia species. 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Biol. Technol. Agric</stitle><date>2016-03-22</date><risdate>2016</risdate><volume>3</volume><issue>1</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><artnum>7</artnum><issn>2196-5641</issn><eissn>2196-5641</eissn><abstract>Background Brown rot of stone and pome fruit is a serious fungal disease that is mainly caused by four species in the genus Monilinia . Of these four species, Monilinia fructicola is the most devastating pathogen and of particular concern because it undergoes sexual recombination and has recently been introduced to Europe. So far, Monilinia diagnosis required a multiplex PCR analysis and gel electrophoresis. In contrast, intact-protein biotyping by mass spectrometry is considerably faster and cheaper. However, it usually requires an in vitro cultivation step prior to the MALDI analysis. It was thus attempted to establish a method for the identification of Monilinia species by MALDI biotyping with fungal material derived directly from infected fruits; without an in vitro cultivation step. Results To simplify and render MALDI biotyping of fungi more reliable, an improved protocol for the preparation of crude protein extracts and for collecting MALDI-TOF MS data for biotyping was developed. We generated reference spectra for all four Monilinia brown rot fungi and were able to reliably identify Monilinia species based on fungal material that was collected directly from infected fruits. This method allowed the correct, fast and economic identification of M. fructicola and M. laxa , while M. fructigena and M. polystroma could not be distinguished reliably. Conclusions MALDI biotyping may be used as an economical tool for the routine diagnosis of Monilinia brown rot fungi on infected fruits. Graphical abstract MALDI-TOF and MALDI-TOF/TOF MS workflows for the biotyping and analysis of Monilinia species. Optimization of protein extraction, own MSP generation and data analysis permitted the fast and reliable identification of M. fructicola , M. laxa and M. fructigena/M. polystroma</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1186/s40538-016-0058-4</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7607-3108</orcidid><oa>free_for_read</oa></addata></record>
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subjects Agriculture
Biomedical and Life Sciences
Life Sciences
Monilinia
Monilinia fructicola
Organic Chemistry
Plant Biochemistry
Plant Physiology
Soil Science & Conservation
title Direct identification of Monilinia brown rot fungi on infected fruits by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry
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