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Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods

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Resumo:Identification of botanical origin of mixed pollen samples has several applications, including assessment of plant-pollinator interactions, botanical origin of honey, monitoring of pesticide use, monitoring of allergy-related airborne pollen sources, among others. Such applications, however, have previously been limited to conventional pollen identification via light microscopy, which usually has low taxonomic resolution and requires expert knowledge. One alternative for botanical identification of mixed pollen samples is to use of DNA metabarcoding high throughput sequencing (HTS), which could overcome these drawbacks. Recent studies demonstrate that the nuclear barcoding marker ITS2 (internal transcribed spacer 2 region of nuclear ribosomal DNA) can be amplified from DNA extracted from mixed pollen samples. The aim of this study was to compare a variety of methods of storage/transportation and DNA extraction that ensure good DNA yield and quality appropriate for botanical identification of mixed pollen samples by means of a DNA metabarcoding approach, combining the amplification of ITS2 with HTS. In the context of the international project “INSIGNIA: environmental monitoring of pesticide use through honeybees”, mixed pollen samples were collected from traps set up in apiaries from several European countries, stored by beekeepers and later transported to the laboratory of CIMO for identification of plant taxa and inference of relative abundances. Four methods of genomic DNA isolation (NucleoSpin Food kit, GF-1 Plant kit, HigherPuritykit, and CTAB- PVP) were compared regarding DNA yield and purity by means of spectrophotometry and standard gel electrophoresis. Additionally, four storage/transportation methods of trap- collected pollen samples (freezing at -20 °C, drying at 25°C for 2 days, drying with silica, and placing in ethanol) were compared to assess their impact on the quality and quantity of extracted DNA. The results demonstrated the superior efficacy of the NucleoSpin DNA extraction method. The different storage/transportation conditions of pollen samples were compared for their impact on DNA quality and quantity using the NucleoSpin as the DNA extraction method. The results showed that the DNA extracted from the pollen samples placed in ethanol had the best quality/yield compared to the DNA extracted from the other samples with different storage conditions. Two primer pairs targeting ITS2 region ITS- S2F/ITS4R and ITS-u3/ITS-u4, were employed to identify plant taxa via metabarcoding HTS. The number of taxa identified in common using these two primers were 48 families, 118 genera, and 204 species, corresponding to 87.2 % , 79.5%, and 68.7%, respectively.The results of identification of taxa we present very similar results, making comparisons difficult, with a slight difference in the number of taxa (ITS-u3/ITS-u4 with higher number of identified taxa) and the abundance (ITS-S2F/ITS4R with higher abundance of taxa identified). This study thus offers improvements in the laboratory workflow ensuring a good DNA quantity and quality for downstream HTS applications.
Autores principais:Haba, Eya
Assunto:Pollen identification DNA extraction Storage methods ITS2 DNA metabarcoding HTS
Ano:2019
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Haba, Eya
author_facet Haba, Eya
author_role author
contributor_name_str_mv Pinto, M. Alice
Amaral, Joana S.
Hamda, Cherif Ben
Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Haba, Eya\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Pinto, M. Alice
Amaral, Joana S.
Hamda, Cherif Ben
Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Haba, Eya
datacite.date.Accepted.fl_str_mv 2019-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2019-11-21T10:19:25Z
datacite.date.embargoed.fl_str_mv 2019-11-21T10:19:25Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Pollen identification
DNA extraction
Storage methods
ITS2
DNA metabarcoding
HTS
datacite.titles.title.fl_str_mv Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
dc.contributor.none.fl_str_mv Pinto, M. Alice
Amaral, Joana S.
Hamda, Cherif Ben
Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Haba, Eya
dc.date.Accepted.fl_str_mv 2019-01-01T00:00:00Z
dc.date.available.fl_str_mv 2019-11-21T10:19:25Z
dc.date.embargoed.fl_str_mv 2019-11-21T10:19:25Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/19828
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Pollen identification
DNA extraction
Storage methods
ITS2
DNA metabarcoding
HTS
dc.title.fl_str_mv Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Identification of botanical origin of mixed pollen samples has several applications, including assessment of plant-pollinator interactions, botanical origin of honey, monitoring of pesticide use, monitoring of allergy-related airborne pollen sources, among others. Such applications, however, have previously been limited to conventional pollen identification via light microscopy, which usually has low taxonomic resolution and requires expert knowledge. One alternative for botanical identification of mixed pollen samples is to use of DNA metabarcoding high throughput sequencing (HTS), which could overcome these drawbacks. Recent studies demonstrate that the nuclear barcoding marker ITS2 (internal transcribed spacer 2 region of nuclear ribosomal DNA) can be amplified from DNA extracted from mixed pollen samples. The aim of this study was to compare a variety of methods of storage/transportation and DNA extraction that ensure good DNA yield and quality appropriate for botanical identification of mixed pollen samples by means of a DNA metabarcoding approach, combining the amplification of ITS2 with HTS. In the context of the international project “INSIGNIA: environmental monitoring of pesticide use through honeybees”, mixed pollen samples were collected from traps set up in apiaries from several European countries, stored by beekeepers and later transported to the laboratory of CIMO for identification of plant taxa and inference of relative abundances. Four methods of genomic DNA isolation (NucleoSpin Food kit, GF-1 Plant kit, HigherPuritykit, and CTAB- PVP) were compared regarding DNA yield and purity by means of spectrophotometry and standard gel electrophoresis. Additionally, four storage/transportation methods of trap- collected pollen samples (freezing at -20 °C, drying at 25°C for 2 days, drying with silica, and placing in ethanol) were compared to assess their impact on the quality and quantity of extracted DNA. The results demonstrated the superior efficacy of the NucleoSpin DNA extraction method. The different storage/transportation conditions of pollen samples were compared for their impact on DNA quality and quantity using the NucleoSpin as the DNA extraction method. The results showed that the DNA extracted from the pollen samples placed in ethanol had the best quality/yield compared to the DNA extracted from the other samples with different storage conditions. Two primer pairs targeting ITS2 region ITS- S2F/ITS4R and ITS-u3/ITS-u4, were employed to identify plant taxa via metabarcoding HTS. The number of taxa identified in common using these two primers were 48 families, 118 genera, and 204 species, corresponding to 87.2 % , 79.5%, and 68.7%, respectively.The results of identification of taxa we present very similar results, making comparisons difficult, with a slight difference in the number of taxa (ITS-u3/ITS-u4 with higher number of identified taxa) and the abundance (ITS-S2F/ITS4R with higher abundance of taxa identified). This study thus offers improvements in the laboratory workflow ensuring a good DNA quantity and quality for downstream HTS applications.
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eu_rights_str_mv openAccess
format masterThesis
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id ipb_0873ecaac006b72cee7abf7bef1bb9ab
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institution Instituto Politécnico de Bragança
instname_str Instituto Politécnico de Bragança
language eng
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oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/19828
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Haba, Eya
publishDate 2019
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engpt_PTIdentification of botanical origin of mixed pollen samples has several applications, including assessment of plant-pollinator interactions, botanical origin of honey, monitoring of pesticide use, monitoring of allergy-related airborne pollen sources, among others. Such applications, however, have previously been limited to conventional pollen identification via light microscopy, which usually has low taxonomic resolution and requires expert knowledge. One alternative for botanical identification of mixed pollen samples is to use of DNA metabarcoding high throughput sequencing (HTS), which could overcome these drawbacks. Recent studies demonstrate that the nuclear barcoding marker ITS2 (internal transcribed spacer 2 region of nuclear ribosomal DNA) can be amplified from DNA extracted from mixed pollen samples. The aim of this study was to compare a variety of methods of storage/transportation and DNA extraction that ensure good DNA yield and quality appropriate for botanical identification of mixed pollen samples by means of a DNA metabarcoding approach, combining the amplification of ITS2 with HTS. In the context of the international project “INSIGNIA: environmental monitoring of pesticide use through honeybees”, mixed pollen samples were collected from traps set up in apiaries from several European countries, stored by beekeepers and later transported to the laboratory of CIMO for identification of plant taxa and inference of relative abundances. Four methods of genomic DNA isolation (NucleoSpin Food kit, GF-1 Plant kit, HigherPuritykit, and CTAB- PVP) were compared regarding DNA yield and purity by means of spectrophotometry and standard gel electrophoresis. Additionally, four storage/transportation methods of trap- collected pollen samples (freezing at -20 °C, drying at 25°C for 2 days, drying with silica, and placing in ethanol) were compared to assess their impact on the quality and quantity of extracted DNA. The results demonstrated the superior efficacy of the NucleoSpin DNA extraction method. The different storage/transportation conditions of pollen samples were compared for their impact on DNA quality and quantity using the NucleoSpin as the DNA extraction method. The results showed that the DNA extracted from the pollen samples placed in ethanol had the best quality/yield compared to the DNA extracted from the other samples with different storage conditions. Two primer pairs targeting ITS2 region ITS- S2F/ITS4R and ITS-u3/ITS-u4, were employed to identify plant taxa via metabarcoding HTS. The number of taxa identified in common using these two primers were 48 families, 118 genera, and 204 species, corresponding to 87.2 % , 79.5%, and 68.7%, respectively.The results of identification of taxa we present very similar results, making comparisons difficult, with a slight difference in the number of taxa (ITS-u3/ITS-u4 with higher number of identified taxa) and the abundance (ITS-S2F/ITS4R with higher abundance of taxa identified). This study thus offers improvements in the laboratory workflow ensuring a good DNA quantity and quality for downstream HTS applications.application/pdfpt_PTMolecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methodsHaba, EyaPinto, M. AliceAmaral, Joana S.Hamda, Cherif BenHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptURNurn:tid:2023112522019-11-21T10:19:25Z201920182019-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/19828http://purl.org/coar/access_right/c_abf2open accessPollen identificationDNA extractionStorage methodsITS2DNA metabarcodingHTS13467989 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2019http://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/fecdae77-94fb-4f87-a042-bc02fbc04df4/download
spellingShingle Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
Haba, Eya
Pollen identification
DNA extraction
Storage methods
ITS2
DNA metabarcoding
HTS
status SINGLETON
subject.fl_str_mv Pollen identification
DNA extraction
Storage methods
ITS2
DNA metabarcoding
HTS
title Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
title_full Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
title_fullStr Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
title_full_unstemmed Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
title_short Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
title_sort Molecular detection of the botanical origin of pollen in honey bee-collected pellets: a comparison of methods
topic Pollen identification
DNA extraction
Storage methods
ITS2
DNA metabarcoding
HTS
topic_facet Pollen identification
DNA extraction
Storage methods
ITS2
DNA metabarcoding
HTS
url http://hdl.handle.net/10198/19828
visible 1