Standardization of sample homogenization for mosquito identification using an innovative proteomic tool based on protein profiling.
Identifieur interne : 000355 ( Main/Exploration ); précédent : 000354; suivant : 000356Standardization of sample homogenization for mosquito identification using an innovative proteomic tool based on protein profiling.
Auteurs : Amira Nebbak [France, Algérie] ; Alexandra C. Willcox [France, États-Unis] ; Idir Bitam [France, Algérie] ; Didier Raoult [France] ; Philippe Parola [France] ; Lionel Almeras [France]Source :
- Proteomics [ 1615-9861 ] ; 2016.
Descripteurs français
- KwdFr :
- Analyse de regroupements (MeSH), Animaux (MeSH), Culicidae (classification), Culicidae (composition chimique), Larve (composition chimique), Manipulation d'échantillons (MeSH), Protéines d'insecte (analyse), Protéomique (méthodes), Protéomique (normes), Protéomique (économie), Spectrométrie de masse MALDI (méthodes), Spectrométrie de masse MALDI (normes), Spectrométrie de masse MALDI (économie), Spécificité d'espèce (MeSH).
- MESH :
- analyse : Protéines d'insecte.
- composition chimique : Culicidae, Larve.
- méthodes : Protéomique, Spectrométrie de masse MALDI.
- normes : Protéomique, Spectrométrie de masse MALDI.
- économie : Protéomique, Spectrométrie de masse MALDI.
- Analyse de regroupements, Animaux, Manipulation d'échantillons, Spécificité d'espèce.
English descriptors
- KwdEn :
- Animals (MeSH), Cluster Analysis (MeSH), Culicidae (chemistry), Culicidae (classification), Insect Proteins (analysis), Larva (chemistry), Proteomics (economics), Proteomics (methods), Proteomics (standards), Species Specificity (MeSH), Specimen Handling (MeSH), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (economics), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (methods), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (standards).
- MESH :
- chemical , analysis : Insect Proteins.
- chemistry : Culicidae, Larva.
- classification : Culicidae.
- economics : Proteomics, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
- methods : Proteomics, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
- standards : Proteomics, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
- Animals, Cluster Analysis, Species Specificity, Specimen Handling.
Abstract
The rapid spread of vector-borne diseases demands the development of an innovative strategy for arthropod monitoring. The emergence of MALDI-TOF MS as a rapid, low-cost, and accurate tool for arthropod identification is revolutionizing medical entomology. However, as MS spectra from an arthropod can vary according to the body part selected, the sample homogenization method used and the mode and duration of sample storage, standardization of protocols is indispensable prior to the creation and sharing of an MS reference spectra database. In the present study, manual grinding of Anopheles gambiae Giles and Aedes albopictus mosquitoes at the adult and larval (L3) developmental stages was compared to automated homogenization. Settings for each homogenizer were optimized, and glass powder was found to be the best sample disruptor based on its ability to create reproducible and intense MS spectra. In addition, the suitability of common arthropod storage conditions for further MALDI-TOF MS analysis was kinetically evaluated. The conditions that best preserved samples for accurate species identification by MALDI-TOF MS were freezing at -20°C or in liquid nitrogen for up to 6 months. The optimized conditions were objectified based on the reproducibility and stability of species-specific MS profiles. The automation and standardization of mosquito sample preparation methods for MALDI-TOF MS analyses will popularize the use of this innovative tool for the rapid identification of arthropods with medical interest.
DOI: 10.1002/pmic.201600287
PubMed: 27862981
Affiliations:
- Algérie, France, États-Unis
- Caroline du Nord, Provence-Alpes-Côte d'Azur, Wilaya d'Alger
- Alger, Chapel Hill (Caroline du Nord), Marseille
- Université d'Aix-Marseille, Université de Caroline du Nord à Chapel Hill
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Le document en format XML
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xml:lang="fr">France</country><wicri:regionArea>Unité Parasitologie et Entomologie, Département des Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:27862981</idno><idno type="pmid">27862981</idno><idno type="doi">10.1002/pmic.201600287</idno><idno type="wicri:Area/PubMed/Corpus">000459</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000459</idno><idno type="wicri:Area/PubMed/Curation">000458</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000458</idno><idno type="wicri:Area/PubMed/Checkpoint">000466</idno><idno 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Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Laboratoire de Biodiversité et Environnement : Interactions génomes, Faculté des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Bab Ezzouar, Algiers, Algeria.</nlm:affiliation><country xml:lang="fr">Algérie</country><wicri:regionArea>Laboratoire de Biodiversité et Environnement : Interactions génomes, Faculté des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Bab Ezzouar, Algiers</wicri:regionArea><placeName><settlement type="city">Alger</settlement><region nuts="2">Wilaya d'Alger</region></placeName></affiliation></author><author><name sortKey="Willcox, Alexandra C" sort="Willcox, Alexandra C" uniqKey="Willcox A" first="Alexandra C" last="Willcox">Alexandra C. Willcox</name><affiliation wicri:level="4"><nlm:affiliation>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation><affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region><settlement type="city">Chapel Hill (Caroline du Nord)</settlement></placeName><orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName></affiliation></author><author><name sortKey="Bitam, Idir" sort="Bitam, Idir" uniqKey="Bitam I" first="Idir" last="Bitam">Idir Bitam</name><affiliation wicri:level="4"><nlm:affiliation>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Laboratoire de Biodiversité et Environnement : Interactions génomes, Faculté des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Bab Ezzouar, Algiers, Algeria.</nlm:affiliation><country xml:lang="fr">Algérie</country><wicri:regionArea>Laboratoire de Biodiversité et Environnement : Interactions génomes, Faculté des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Bab Ezzouar, Algiers</wicri:regionArea><placeName><settlement type="city">Alger</settlement><region nuts="2">Wilaya d'Alger</region></placeName></affiliation></author><author><name sortKey="Raoult, Didier" sort="Raoult, Didier" uniqKey="Raoult D" first="Didier" last="Raoult">Didier Raoult</name><affiliation wicri:level="4"><nlm:affiliation>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation></author><author><name sortKey="Parola, Philippe" sort="Parola, Philippe" uniqKey="Parola P" first="Philippe" last="Parola">Philippe Parola</name><affiliation wicri:level="4"><nlm:affiliation>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation></author><author><name sortKey="Almeras, Lionel" sort="Almeras, Lionel" uniqKey="Almeras L" first="Lionel" last="Almeras">Lionel Almeras</name><affiliation wicri:level="4"><nlm:affiliation>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO Collaborative Center for Rickettsioses and Other Arthropod-Borne Bacterial Diseases, Faculté de Médecine, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Unité Parasitologie et Entomologie, Département des Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, Marseille, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Unité Parasitologie et Entomologie, Département des Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, Marseille</wicri:regionArea><placeName><region type="region">Provence-Alpes-Côte d'Azur</region><region type="old region">Provence-Alpes-Côte d'Azur</region><settlement type="city">Marseille</settlement></placeName></affiliation></author></analytic><series><title level="j">Proteomics</title><idno type="eISSN">1615-9861</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals (MeSH)</term><term>Cluster Analysis (MeSH)</term><term>Culicidae (chemistry)</term><term>Culicidae (classification)</term><term>Insect Proteins (analysis)</term><term>Larva (chemistry)</term><term>Proteomics (economics)</term><term>Proteomics (methods)</term><term>Proteomics (standards)</term><term>Species Specificity (MeSH)</term><term>Specimen Handling (MeSH)</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (economics)</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (methods)</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (standards)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de regroupements (MeSH)</term><term>Animaux (MeSH)</term><term>Culicidae (classification)</term><term>Culicidae (composition chimique)</term><term>Larve (composition chimique)</term><term>Manipulation d'échantillons (MeSH)</term><term>Protéines d'insecte (analyse)</term><term>Protéomique (méthodes)</term><term>Protéomique (normes)</term><term>Protéomique (économie)</term><term>Spectrométrie de masse MALDI (méthodes)</term><term>Spectrométrie de masse MALDI (normes)</term><term>Spectrométrie de masse MALDI (économie)</term><term>Spécificité d'espèce (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Insect Proteins</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Protéines d'insecte</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Culicidae</term><term>Larva</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Culicidae</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Culicidae</term><term>Larve</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Proteomics</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Proteomics</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Protéomique</term><term>Spectrométrie de masse MALDI</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Protéomique</term><term>Spectrométrie de masse MALDI</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Proteomics</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Protéomique</term><term>Spectrométrie de masse MALDI</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Cluster Analysis</term><term>Species Specificity</term><term>Specimen Handling</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de regroupements</term><term>Animaux</term><term>Manipulation d'échantillons</term><term>Spécificité d'espèce</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The rapid spread of vector-borne diseases demands the development of an innovative strategy for arthropod monitoring. The emergence of MALDI-TOF MS as a rapid, low-cost, and accurate tool for arthropod identification is revolutionizing medical entomology. However, as MS spectra from an arthropod can vary according to the body part selected, the sample homogenization method used and the mode and duration of sample storage, standardization of protocols is indispensable prior to the creation and sharing of an MS reference spectra database. In the present study, manual grinding of Anopheles gambiae Giles and Aedes albopictus mosquitoes at the adult and larval (L3) developmental stages was compared to automated homogenization. Settings for each homogenizer were optimized, and glass powder was found to be the best sample disruptor based on its ability to create reproducible and intense MS spectra. In addition, the suitability of common arthropod storage conditions for further MALDI-TOF MS analysis was kinetically evaluated. The conditions that best preserved samples for accurate species identification by MALDI-TOF MS were freezing at -20°C or in liquid nitrogen for up to 6 months. The optimized conditions were objectified based on the reproducibility and stability of species-specific MS profiles. The automation and standardization of mosquito sample preparation methods for MALDI-TOF MS analyses will popularize the use of this innovative tool for the rapid identification of arthropods with medical interest.</div></front></TEI><affiliations><list><country><li>Algérie</li><li>France</li><li>États-Unis</li></country><region><li>Caroline du Nord</li><li>Provence-Alpes-Côte d'Azur</li><li>Wilaya d'Alger</li></region><settlement><li>Alger</li><li>Chapel Hill (Caroline du Nord)</li><li>Marseille</li></settlement><orgName><li>Université d'Aix-Marseille</li><li>Université de Caroline du Nord à Chapel Hill</li></orgName></list><tree><country name="France"><region name="Provence-Alpes-Côte d'Azur"><name sortKey="Nebbak, Amira" sort="Nebbak, Amira" uniqKey="Nebbak A" first="Amira" last="Nebbak">Amira Nebbak</name></region><name sortKey="Almeras, Lionel" sort="Almeras, Lionel" uniqKey="Almeras L" first="Lionel" last="Almeras">Lionel Almeras</name><name sortKey="Almeras, Lionel" sort="Almeras, Lionel" uniqKey="Almeras L" first="Lionel" last="Almeras">Lionel Almeras</name><name sortKey="Bitam, Idir" sort="Bitam, Idir" uniqKey="Bitam I" first="Idir" last="Bitam">Idir Bitam</name><name sortKey="Parola, Philippe" sort="Parola, Philippe" uniqKey="Parola P" first="Philippe" last="Parola">Philippe Parola</name><name sortKey="Raoult, Didier" sort="Raoult, Didier" uniqKey="Raoult D" first="Didier" last="Raoult">Didier Raoult</name><name sortKey="Willcox, Alexandra C" sort="Willcox, Alexandra C" uniqKey="Willcox A" first="Alexandra C" last="Willcox">Alexandra C. Willcox</name></country><country name="Algérie"><region name="Wilaya d'Alger"><name sortKey="Nebbak, Amira" sort="Nebbak, Amira" uniqKey="Nebbak A" first="Amira" last="Nebbak">Amira Nebbak</name></region><name sortKey="Bitam, Idir" sort="Bitam, Idir" uniqKey="Bitam I" first="Idir" last="Bitam">Idir Bitam</name></country><country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Willcox, Alexandra C" sort="Willcox, Alexandra C" uniqKey="Willcox A" first="Alexandra C" last="Willcox">Alexandra C. Willcox</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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