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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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 |
doi_str_mv | 10.1186/s40538-016-0058-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1780522981</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4312230731</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-2d108c3dcc9182fb86e1f3a916dd8d540bacae76984e32ea1ff71d755015b0713</originalsourceid><addsrcrecordid>eNp1kctq3TAURU1JoCHNB3Qm6CQZONGRLVsehrzhhk6asZD1CAq-0o2OTHL7Ef3myjiDUOhASHD2Woizq-o70HMA0V1gS3kjagpdTSkXdfulOmIwdDXvWjj49P5anSC-UEqBgRj65qj6c-2T1Zl4Y0P2zmuVfQwkOvIYg5988IqMKb4FkmImbg7PnpS5D65Q1hCXZp-RjHuyVTn591ohelwmk0KbiLEY025xXpTjf6_608fLzfXDWWEQCe6KKsWtzWn_rTp0akJ78nEfV0-3N7-u7uvNz7uHq8tNrduO5ZoZoEI3RusBBHOj6Cy4Rg3QGSMMb-motLJ9N4jWNswqcK4H03NOgY-0h-a4Ol29uxRfZ4tZbj1qO00q2DijhF5QztggluiPf6IvcU6h_E6W3XNWdtk3JQVrSqeImKyTu-S3Ku0lULmUJNeSZClJLiXJtjBsZbBkw7NNn8z_hf4C6XmWiA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1865201273</pqid></control><display><type>article</type><title>Direct identification of Monilinia brown rot fungi on infected fruits by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry</title><source>Open Access: DOAJ - Directory of Open Access Journals</source><source>Springer_OA刊</source><source>Free E-Journal (出版社公開部分のみ)</source><source>SpringerLink (Online service)</source><creator>Freimoser, Florian Matthias ; Hilber-Bodmer, Maja ; Brunisholz, René ; Drissner, David</creator><creatorcontrib>Freimoser, Florian Matthias ; Hilber-Bodmer, Maja ; Brunisholz, René ; Drissner, David</creatorcontrib><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</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 & 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. 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><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Life Sciences</subject><subject>Monilinia</subject><subject>Monilinia fructicola</subject><subject>Organic Chemistry</subject><subject>Plant Biochemistry</subject><subject>Plant Physiology</subject><subject>Soil Science & Conservation</subject><issn>2196-5641</issn><issn>2196-5641</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kctq3TAURU1JoCHNB3Qm6CQZONGRLVsehrzhhk6asZD1CAq-0o2OTHL7Ef3myjiDUOhASHD2Woizq-o70HMA0V1gS3kjagpdTSkXdfulOmIwdDXvWjj49P5anSC-UEqBgRj65qj6c-2T1Zl4Y0P2zmuVfQwkOvIYg5988IqMKb4FkmImbg7PnpS5D65Q1hCXZp-RjHuyVTn591ohelwmk0KbiLEY025xXpTjf6_608fLzfXDWWEQCe6KKsWtzWn_rTp0akJ78nEfV0-3N7-u7uvNz7uHq8tNrduO5ZoZoEI3RusBBHOj6Cy4Rg3QGSMMb-motLJ9N4jWNswqcK4H03NOgY-0h-a4Ol29uxRfZ4tZbj1qO00q2DijhF5QztggluiPf6IvcU6h_E6W3XNWdtk3JQVrSqeImKyTu-S3Ku0lULmUJNeSZClJLiXJtjBsZbBkw7NNn8z_hf4C6XmWiA</recordid><startdate>20160322</startdate><enddate>20160322</enddate><creator>Freimoser, Florian Matthias</creator><creator>Hilber-Bodmer, Maja</creator><creator>Brunisholz, René</creator><creator>Drissner, David</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7U7</scope><scope>C1K</scope><scope>M7N</scope><orcidid>https://orcid.org/0000-0001-7607-3108</orcidid></search><sort><creationdate>20160322</creationdate><title>Direct identification of Monilinia brown rot fungi on infected fruits by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry</title><author>Freimoser, Florian Matthias ; Hilber-Bodmer, Maja ; Brunisholz, René ; Drissner, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-2d108c3dcc9182fb86e1f3a916dd8d540bacae76984e32ea1ff71d755015b0713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Life Sciences</topic><topic>Monilinia</topic><topic>Monilinia fructicola</topic><topic>Organic Chemistry</topic><topic>Plant Biochemistry</topic><topic>Plant Physiology</topic><topic>Soil Science & Conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Freimoser, Florian Matthias</creatorcontrib><creatorcontrib>Hilber-Bodmer, Maja</creatorcontrib><creatorcontrib>Brunisholz, René</creatorcontrib><creatorcontrib>Drissner, David</creatorcontrib><collection>Springer_OA刊</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><jtitle>Chemical and biological technologies in agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Freimoser, Florian Matthias</au><au>Hilber-Bodmer, Maja</au><au>Brunisholz, René</au><au>Drissner, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Direct identification of Monilinia brown rot fungi on infected fruits by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry</atitle><jtitle>Chemical and biological technologies in agriculture</jtitle><stitle>Chem. 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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source | Open Access: DOAJ - Directory of Open Access Journals; Springer_OA刊; Free E-Journal (出版社公開部分のみ); SpringerLink (Online service) |
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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