MALDI‐TOF MS identification of microbiota associated with pest insect Diabrotica speciosa
Resistance development in pest insects has guided the advance of cleaner and more effective strategies for pest control. An interesting and promising strategy is the manipulation of insects via their gut microbiota. To evaluate the feasibility of this strategy, Diabrotica speciosa, a highly polyphag...
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Veröffentlicht in: | Agricultural and forest entomology 2017-11, Vol.19 (4), p.408-417 |
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creator | Perlatti, Bruno Luiz, Anderson L. Prieto, Evandro L. Fernandes, João B. da Silva, Maria Fátima das Graças Fernandes Ferreira, Douglas Costa, Eduardo N. Boiça Júnior, Arlindo L. Forim, Moacir R. |
description | Resistance development in pest insects has guided the advance of cleaner and more effective strategies for pest control. An interesting and promising strategy is the manipulation of insects via their gut microbiota.
To evaluate the feasibility of this strategy, Diabrotica speciosa, a highly polyphagous pest insect from South America that causes substantial damage to several important crops, was reared under controlled conditions. Aerobic culturable bacteria were isolated from the gut of D. speciosa and identified using proteomic fingerprints obtained by matrix‐assisted laser desorption ionization coupled to time‐of‐flight mass spectrometry (MALDI‐TOF MS), as well as by genomic methods via partial sequencing of the 16S rRNA gene.
Seventy‐three strains belonging to 17 genera and up to 29 different species were isolated. γ‐Proteobacteria of the orders Pseudomonadales and Enterobacteriales were the predominant. A core gut microbiome for the genus Diabrotica could be inferred when microbiotas from different species from the genus were compared. Molecular and spectrometric techniques indicated complete agreement of genera classification, although cluster analysis revealed distinct taxonomic grouping patterns.
MALDI‐TOF MS provided reliable identification of culturable gut bacteria, demonstrating similar efficacy, with cheaper and faster results relative to partial 16S rRNA gene sequencing, and also showed an interesting and unexpected phyloproteomic correlation. |
doi_str_mv | 10.1111/afe.12220 |
format | Article |
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To evaluate the feasibility of this strategy, Diabrotica speciosa, a highly polyphagous pest insect from South America that causes substantial damage to several important crops, was reared under controlled conditions. Aerobic culturable bacteria were isolated from the gut of D. speciosa and identified using proteomic fingerprints obtained by matrix‐assisted laser desorption ionization coupled to time‐of‐flight mass spectrometry (MALDI‐TOF MS), as well as by genomic methods via partial sequencing of the 16S rRNA gene.
Seventy‐three strains belonging to 17 genera and up to 29 different species were isolated. γ‐Proteobacteria of the orders Pseudomonadales and Enterobacteriales were the predominant. A core gut microbiome for the genus Diabrotica could be inferred when microbiotas from different species from the genus were compared. Molecular and spectrometric techniques indicated complete agreement of genera classification, although cluster analysis revealed distinct taxonomic grouping patterns.
MALDI‐TOF MS provided reliable identification of culturable gut bacteria, demonstrating similar efficacy, with cheaper and faster results relative to partial 16S rRNA gene sequencing, and also showed an interesting and unexpected phyloproteomic correlation.</description><identifier>ISSN: 1461-9555</identifier><identifier>EISSN: 1461-9563</identifier><identifier>DOI: 10.1111/afe.12220</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Bacteria ; Cluster analysis ; Controlled conditions ; Desorption ; Diabrotica speciosa ; DNA fingerprinting ; Enterobacteriaceae ; Feasibility studies ; Fingerprints ; Gene sequencing ; Genera ; gut bacteria ; Insects ; Intestinal microflora ; Ionization ; Ions ; MALDI‐TOF MS ; Mass spectrometry ; Mass spectroscopy ; microbial ecology ; Pest control ; Pesticide resistance ; Pests ; phylogenetic ; phyloproteomic ; Proteomics ; Pseudomonadales ; rRNA 16S</subject><ispartof>Agricultural and forest entomology, 2017-11, Vol.19 (4), p.408-417</ispartof><rights>2017 The Royal Entomological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fafe.12220$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fafe.12220$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids></links><search><creatorcontrib>Perlatti, Bruno</creatorcontrib><creatorcontrib>Luiz, Anderson L.</creatorcontrib><creatorcontrib>Prieto, Evandro L.</creatorcontrib><creatorcontrib>Fernandes, João B.</creatorcontrib><creatorcontrib>da Silva, Maria Fátima das Graças Fernandes</creatorcontrib><creatorcontrib>Ferreira, Douglas</creatorcontrib><creatorcontrib>Costa, Eduardo N.</creatorcontrib><creatorcontrib>Boiça Júnior, Arlindo L.</creatorcontrib><creatorcontrib>Forim, Moacir R.</creatorcontrib><title>MALDI‐TOF MS identification of microbiota associated with pest insect Diabrotica speciosa</title><title>Agricultural and forest entomology</title><description>Resistance development in pest insects has guided the advance of cleaner and more effective strategies for pest control. An interesting and promising strategy is the manipulation of insects via their gut microbiota.
To evaluate the feasibility of this strategy, Diabrotica speciosa, a highly polyphagous pest insect from South America that causes substantial damage to several important crops, was reared under controlled conditions. Aerobic culturable bacteria were isolated from the gut of D. speciosa and identified using proteomic fingerprints obtained by matrix‐assisted laser desorption ionization coupled to time‐of‐flight mass spectrometry (MALDI‐TOF MS), as well as by genomic methods via partial sequencing of the 16S rRNA gene.
Seventy‐three strains belonging to 17 genera and up to 29 different species were isolated. γ‐Proteobacteria of the orders Pseudomonadales and Enterobacteriales were the predominant. A core gut microbiome for the genus Diabrotica could be inferred when microbiotas from different species from the genus were compared. Molecular and spectrometric techniques indicated complete agreement of genera classification, although cluster analysis revealed distinct taxonomic grouping patterns.
MALDI‐TOF MS provided reliable identification of culturable gut bacteria, demonstrating similar efficacy, with cheaper and faster results relative to partial 16S rRNA gene sequencing, and also showed an interesting and unexpected phyloproteomic correlation.</description><subject>Bacteria</subject><subject>Cluster analysis</subject><subject>Controlled conditions</subject><subject>Desorption</subject><subject>Diabrotica speciosa</subject><subject>DNA fingerprinting</subject><subject>Enterobacteriaceae</subject><subject>Feasibility studies</subject><subject>Fingerprints</subject><subject>Gene sequencing</subject><subject>Genera</subject><subject>gut bacteria</subject><subject>Insects</subject><subject>Intestinal microflora</subject><subject>Ionization</subject><subject>Ions</subject><subject>MALDI‐TOF MS</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>microbial ecology</subject><subject>Pest control</subject><subject>Pesticide resistance</subject><subject>Pests</subject><subject>phylogenetic</subject><subject>phyloproteomic</subject><subject>Proteomics</subject><subject>Pseudomonadales</subject><subject>rRNA 16S</subject><issn>1461-9555</issn><issn>1461-9563</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNo9kMtOAjEUhhujiYgufIMmrgd6mXY6S8JFSSAsxJWLpu10YglMx2kJYccj-Iw-iRWMZ3P-5Pzn9gHwiNEApxiq2g4wIQRdgR7OOc5Kxun1v2bsFtyFsEEIk6IQPfC-HC0m8-_T13o1g8tX6CrbRFc7o6LzDfQ13DnTee18VFCF4I1T0Vbw4OIHbG2I0DXBmggnTunOx9QIQ2uN80Hdg5tabYN9-Mt98Dabrscv2WL1PB-PFllLCEUZLzjTBKEa5ZQRURhkMUMVVdzqXGvFsMBcW6SoZYWg3KQqL2ukaSVypUvaB0-XuW3nP_fpJrnx-65JKyUu099cCCSSa3hxHdzWHmXbuZ3qjhIj-QtOJnDyDE6OZtOzoD9RLWIa</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Perlatti, Bruno</creator><creator>Luiz, Anderson L.</creator><creator>Prieto, Evandro L.</creator><creator>Fernandes, João B.</creator><creator>da Silva, Maria Fátima das Graças Fernandes</creator><creator>Ferreira, Douglas</creator><creator>Costa, Eduardo N.</creator><creator>Boiça Júnior, Arlindo L.</creator><creator>Forim, Moacir R.</creator><general>Blackwell Publishing Ltd</general><scope>7QL</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope></search><sort><creationdate>201711</creationdate><title>MALDI‐TOF MS identification of microbiota associated with pest insect Diabrotica speciosa</title><author>Perlatti, Bruno ; Luiz, Anderson L. ; Prieto, Evandro L. ; Fernandes, João B. ; da Silva, Maria Fátima das Graças Fernandes ; Ferreira, Douglas ; Costa, Eduardo N. ; Boiça Júnior, Arlindo L. ; Forim, Moacir R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2230-6765b200f0435287c0e150d3a6eb4bba51816be0a3e57836c15069f0b3d84ab93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bacteria</topic><topic>Cluster analysis</topic><topic>Controlled conditions</topic><topic>Desorption</topic><topic>Diabrotica speciosa</topic><topic>DNA fingerprinting</topic><topic>Enterobacteriaceae</topic><topic>Feasibility studies</topic><topic>Fingerprints</topic><topic>Gene sequencing</topic><topic>Genera</topic><topic>gut bacteria</topic><topic>Insects</topic><topic>Intestinal microflora</topic><topic>Ionization</topic><topic>Ions</topic><topic>MALDI‐TOF MS</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>microbial ecology</topic><topic>Pest control</topic><topic>Pesticide resistance</topic><topic>Pests</topic><topic>phylogenetic</topic><topic>phyloproteomic</topic><topic>Proteomics</topic><topic>Pseudomonadales</topic><topic>rRNA 16S</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perlatti, Bruno</creatorcontrib><creatorcontrib>Luiz, Anderson L.</creatorcontrib><creatorcontrib>Prieto, Evandro L.</creatorcontrib><creatorcontrib>Fernandes, João B.</creatorcontrib><creatorcontrib>da Silva, Maria Fátima das Graças Fernandes</creatorcontrib><creatorcontrib>Ferreira, Douglas</creatorcontrib><creatorcontrib>Costa, Eduardo N.</creatorcontrib><creatorcontrib>Boiça Júnior, Arlindo L.</creatorcontrib><creatorcontrib>Forim, Moacir R.</creatorcontrib><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Agricultural and forest entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perlatti, Bruno</au><au>Luiz, Anderson L.</au><au>Prieto, Evandro L.</au><au>Fernandes, João B.</au><au>da Silva, Maria Fátima das Graças Fernandes</au><au>Ferreira, Douglas</au><au>Costa, Eduardo N.</au><au>Boiça Júnior, Arlindo L.</au><au>Forim, Moacir R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MALDI‐TOF MS identification of microbiota associated with pest insect Diabrotica speciosa</atitle><jtitle>Agricultural and forest entomology</jtitle><date>2017-11</date><risdate>2017</risdate><volume>19</volume><issue>4</issue><spage>408</spage><epage>417</epage><pages>408-417</pages><issn>1461-9555</issn><eissn>1461-9563</eissn><abstract>Resistance development in pest insects has guided the advance of cleaner and more effective strategies for pest control. An interesting and promising strategy is the manipulation of insects via their gut microbiota.
To evaluate the feasibility of this strategy, Diabrotica speciosa, a highly polyphagous pest insect from South America that causes substantial damage to several important crops, was reared under controlled conditions. Aerobic culturable bacteria were isolated from the gut of D. speciosa and identified using proteomic fingerprints obtained by matrix‐assisted laser desorption ionization coupled to time‐of‐flight mass spectrometry (MALDI‐TOF MS), as well as by genomic methods via partial sequencing of the 16S rRNA gene.
Seventy‐three strains belonging to 17 genera and up to 29 different species were isolated. γ‐Proteobacteria of the orders Pseudomonadales and Enterobacteriales were the predominant. A core gut microbiome for the genus Diabrotica could be inferred when microbiotas from different species from the genus were compared. Molecular and spectrometric techniques indicated complete agreement of genera classification, although cluster analysis revealed distinct taxonomic grouping patterns.
MALDI‐TOF MS provided reliable identification of culturable gut bacteria, demonstrating similar efficacy, with cheaper and faster results relative to partial 16S rRNA gene sequencing, and also showed an interesting and unexpected phyloproteomic correlation.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/afe.12220</doi><tpages>10</tpages></addata></record> |
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subjects | Bacteria Cluster analysis Controlled conditions Desorption Diabrotica speciosa DNA fingerprinting Enterobacteriaceae Feasibility studies Fingerprints Gene sequencing Genera gut bacteria Insects Intestinal microflora Ionization Ions MALDI‐TOF MS Mass spectrometry Mass spectroscopy microbial ecology Pest control Pesticide resistance Pests phylogenetic phyloproteomic Proteomics Pseudomonadales rRNA 16S |
title | MALDI‐TOF MS identification of microbiota associated with pest insect Diabrotica speciosa |
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