Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis
Lutzomyia longipalpis and Lutzomyia cruzi are the main sandflies species involved in the transmission of Leishmania infantum protozoan in Brazil. The morphological characteristics can be used for species identification of males specimens, while females are indistinguishable. Although, sandflies iden...
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| Veröffentlicht in: | Journal of biophotonics 2021-04, Vol.14 (4), p.e202000412-n/a |
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| creator | Casaril, Aline E. Santos, Carlos G. Marangoni, Bruno S. Lima, Sandro M. Andrade, Luis H. C. Fernandes, Wagner S. Infran, Jucelei O. M. Alves, Natália O. Borges, Moacir D. G. L. Cena, Cicero Oliveira, Alessandra G. |
| description | Lutzomyia longipalpis and Lutzomyia cruzi are the main sandflies species involved in the transmission of Leishmania infantum protozoan in Brazil. The morphological characteristics can be used for species identification of males specimens, while females are indistinguishable. Although, sandflies identification is essential to understand vectorial capacity, and susceptibility to infectious agents or insecticides, there is a lack of new strategies for specimen identification. In this study, Fourier transform infrared photoacoustic spectroscopy combined with multivariate analysis identified intraspecific differences between Lutzomyia populations. Successfully group clustering was achieved by principal component analysis. The main differences observed can be related to the protein content of the specimens. A classification with 100% accuracy was obtained using machine learning approach, allowing the identification of sandflies specimens.
Optical spectroscopy (Fourier transform infrared photoacoustic spectroscopy [FTIR‐PAS]) associated with multivariate analysis of sandflies specimens was able to differentiate groups according to their geographical origin due to interspecific differences. The molecular contributions responsible for distinguishing the sandflies species from different Brazilian regions are also discussed. |
| doi_str_mv | 10.1002/jbio.202000412 |
| format | Article |
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Optical spectroscopy (Fourier transform infrared photoacoustic spectroscopy [FTIR‐PAS]) associated with multivariate analysis of sandflies specimens was able to differentiate groups according to their geographical origin due to interspecific differences. The molecular contributions responsible for distinguishing the sandflies species from different Brazilian regions are also discussed.</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.202000412</identifier><identifier>PMID: 33389822</identifier><language>eng</language><publisher>Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA</publisher><subject>classification ; Clustering ; Fourier analysis ; Fourier transforms ; Infrared analysis ; infrared spectroscopy ; Insecticides ; Learning algorithms ; Lutzomyia ; Lutzomyia sp ; Machine learning ; Multivariate analysis ; Physical characteristics ; Principal components analysis ; Protozoa ; Spectroscopic analysis ; Spectroscopy ; Spectrum analysis</subject><ispartof>Journal of biophotonics, 2021-04, Vol.14 (4), p.e202000412-n/a</ispartof><rights>2021 Wiley‐VCH GmbH</rights><rights>2021 Wiley-VCH GmbH.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3732-d52778472108212ada1d89080f45a9f387319df7b1b0fee15318153b11d156303</citedby><cites>FETCH-LOGICAL-c3732-d52778472108212ada1d89080f45a9f387319df7b1b0fee15318153b11d156303</cites><orcidid>0000-0001-8766-6144</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.202000412$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.202000412$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33389822$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Casaril, Aline E.</creatorcontrib><creatorcontrib>Santos, Carlos G.</creatorcontrib><creatorcontrib>Marangoni, Bruno S.</creatorcontrib><creatorcontrib>Lima, Sandro M.</creatorcontrib><creatorcontrib>Andrade, Luis H. C.</creatorcontrib><creatorcontrib>Fernandes, Wagner S.</creatorcontrib><creatorcontrib>Infran, Jucelei O. M.</creatorcontrib><creatorcontrib>Alves, Natália O.</creatorcontrib><creatorcontrib>Borges, Moacir D. G. L.</creatorcontrib><creatorcontrib>Cena, Cicero</creatorcontrib><creatorcontrib>Oliveira, Alessandra G.</creatorcontrib><title>Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis</title><title>Journal of biophotonics</title><addtitle>J Biophotonics</addtitle><description>Lutzomyia longipalpis and Lutzomyia cruzi are the main sandflies species involved in the transmission of Leishmania infantum protozoan in Brazil. The morphological characteristics can be used for species identification of males specimens, while females are indistinguishable. Although, sandflies identification is essential to understand vectorial capacity, and susceptibility to infectious agents or insecticides, there is a lack of new strategies for specimen identification. In this study, Fourier transform infrared photoacoustic spectroscopy combined with multivariate analysis identified intraspecific differences between Lutzomyia populations. Successfully group clustering was achieved by principal component analysis. The main differences observed can be related to the protein content of the specimens. A classification with 100% accuracy was obtained using machine learning approach, allowing the identification of sandflies specimens.
Optical spectroscopy (Fourier transform infrared photoacoustic spectroscopy [FTIR‐PAS]) associated with multivariate analysis of sandflies specimens was able to differentiate groups according to their geographical origin due to interspecific differences. The molecular contributions responsible for distinguishing the sandflies species from different Brazilian regions are also discussed.</description><subject>classification</subject><subject>Clustering</subject><subject>Fourier analysis</subject><subject>Fourier transforms</subject><subject>Infrared analysis</subject><subject>infrared spectroscopy</subject><subject>Insecticides</subject><subject>Learning algorithms</subject><subject>Lutzomyia</subject><subject>Lutzomyia sp</subject><subject>Machine learning</subject><subject>Multivariate analysis</subject><subject>Physical characteristics</subject><subject>Principal components analysis</subject><subject>Protozoa</subject><subject>Spectroscopic analysis</subject><subject>Spectroscopy</subject><subject>Spectrum analysis</subject><issn>1864-063X</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkU1LxDAQhoMo7rp69SgFL166ziTtNj3q4sfKwl4UvJW0TSBL29SkVfrvzX64ghcvSRiePMzMS8glwhQB6O0612ZKgQJAhPSIjJHPohBmET8-vNn7iJw5twaYAYvZKRkxxnjKKR0TtWg6K1wrC610EZRaKWll02nRadMERgVONKWqtHTBlqpl44J8CEzb6UJU22JnjStMOwQeDeq-6vSnsN4gfUFUg9PunJwoUTl5sb8n5O3x4XX-HC5XT4v53TIsWMJoWMY0SXiUUAROkYpSYMlT4KCiWKSK8YRhWqokxxyUlBgz5P7IEUuMZwzYhNzsvK01H710XVZrV8iqEo00vctolMSQRpigR6__oGvTW9-vp2JE34e3e2q6owo_o7NSZa3VtbBDhpBtEsg2CWSHBPyHq722z2tZHvCflXsg3QFfupLDP7rs5X6x-pV_A1ZpkpM</recordid><startdate>202104</startdate><enddate>202104</enddate><creator>Casaril, Aline E.</creator><creator>Santos, Carlos G.</creator><creator>Marangoni, Bruno S.</creator><creator>Lima, Sandro M.</creator><creator>Andrade, Luis H. C.</creator><creator>Fernandes, Wagner S.</creator><creator>Infran, Jucelei O. M.</creator><creator>Alves, Natália O.</creator><creator>Borges, Moacir D. G. L.</creator><creator>Cena, Cicero</creator><creator>Oliveira, Alessandra G.</creator><general>WILEY‐VCH Verlag GmbH & Co. KGaA</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SP</scope><scope>7SR</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>K9.</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8766-6144</orcidid></search><sort><creationdate>202104</creationdate><title>Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis</title><author>Casaril, Aline E. ; Santos, Carlos G. ; Marangoni, Bruno S. ; Lima, Sandro M. ; Andrade, Luis H. C. ; Fernandes, Wagner S. ; Infran, Jucelei O. M. ; Alves, Natália O. ; Borges, Moacir D. G. L. ; Cena, Cicero ; Oliveira, Alessandra G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3732-d52778472108212ada1d89080f45a9f387319df7b1b0fee15318153b11d156303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>classification</topic><topic>Clustering</topic><topic>Fourier analysis</topic><topic>Fourier transforms</topic><topic>Infrared analysis</topic><topic>infrared spectroscopy</topic><topic>Insecticides</topic><topic>Learning algorithms</topic><topic>Lutzomyia</topic><topic>Lutzomyia sp</topic><topic>Machine learning</topic><topic>Multivariate analysis</topic><topic>Physical characteristics</topic><topic>Principal components analysis</topic><topic>Protozoa</topic><topic>Spectroscopic analysis</topic><topic>Spectroscopy</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Casaril, Aline E.</creatorcontrib><creatorcontrib>Santos, Carlos G.</creatorcontrib><creatorcontrib>Marangoni, Bruno S.</creatorcontrib><creatorcontrib>Lima, Sandro M.</creatorcontrib><creatorcontrib>Andrade, Luis H. C.</creatorcontrib><creatorcontrib>Fernandes, Wagner S.</creatorcontrib><creatorcontrib>Infran, Jucelei O. M.</creatorcontrib><creatorcontrib>Alves, Natália O.</creatorcontrib><creatorcontrib>Borges, Moacir D. G. L.</creatorcontrib><creatorcontrib>Cena, Cicero</creatorcontrib><creatorcontrib>Oliveira, Alessandra G.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biophotonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Casaril, Aline E.</au><au>Santos, Carlos G.</au><au>Marangoni, Bruno S.</au><au>Lima, Sandro M.</au><au>Andrade, Luis H. C.</au><au>Fernandes, Wagner S.</au><au>Infran, Jucelei O. M.</au><au>Alves, Natália O.</au><au>Borges, Moacir D. G. L.</au><au>Cena, Cicero</au><au>Oliveira, Alessandra G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis</atitle><jtitle>Journal of biophotonics</jtitle><addtitle>J Biophotonics</addtitle><date>2021-04</date><risdate>2021</risdate><volume>14</volume><issue>4</issue><spage>e202000412</spage><epage>n/a</epage><pages>e202000412-n/a</pages><issn>1864-063X</issn><eissn>1864-0648</eissn><abstract>Lutzomyia longipalpis and Lutzomyia cruzi are the main sandflies species involved in the transmission of Leishmania infantum protozoan in Brazil. The morphological characteristics can be used for species identification of males specimens, while females are indistinguishable. Although, sandflies identification is essential to understand vectorial capacity, and susceptibility to infectious agents or insecticides, there is a lack of new strategies for specimen identification. In this study, Fourier transform infrared photoacoustic spectroscopy combined with multivariate analysis identified intraspecific differences between Lutzomyia populations. Successfully group clustering was achieved by principal component analysis. The main differences observed can be related to the protein content of the specimens. A classification with 100% accuracy was obtained using machine learning approach, allowing the identification of sandflies specimens.
Optical spectroscopy (Fourier transform infrared photoacoustic spectroscopy [FTIR‐PAS]) associated with multivariate analysis of sandflies specimens was able to differentiate groups according to their geographical origin due to interspecific differences. The molecular contributions responsible for distinguishing the sandflies species from different Brazilian regions are also discussed.</abstract><cop>Weinheim</cop><pub>WILEY‐VCH Verlag GmbH & Co. KGaA</pub><pmid>33389822</pmid><doi>10.1002/jbio.202000412</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8766-6144</orcidid></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | classification Clustering Fourier analysis Fourier transforms Infrared analysis infrared spectroscopy Insecticides Learning algorithms Lutzomyia Lutzomyia sp Machine learning Multivariate analysis Physical characteristics Principal components analysis Protozoa Spectroscopic analysis Spectroscopy Spectrum analysis |
| title | Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis |
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