Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)

Detalhes bibliográficos
Autor(a) principal: Borges, Sâmella de Souza
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFG
dARK ID: ark:/38995/001300000dmj4
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/10664
Resumo: Brazil is currently the world's largest producer of sugarcane, which is the raw material for two important products for the Brazilian economy: sugar and ethanol. Aiming both to assess the Oxford Nanopore technology for genotyping applications for sequencing (Genotyping By Sequencing - GBS), with the differential to obtain a high sequencing coverage (> 1,000x), how to develop a GBS platform to to identify sugarcane clones, safely and conveniently, this work used the MinION platform to perform genotyping based on the sequencing of 48 individuals. For this, using the genome of Sorghum bicolor as reference and a set of libraries of sugarcane transcripts, 20 pairs of primers were designed, which were used to obtain amplicons, in which SNPs molecular markers were identified (Single Nucleotide Polymorphisms). Six sequencing libraries were built, the first two being used in pilot trials. The alignment of the sequences obtained in the reference genome was performed using the BWA program. The identification and genotyping of the SNPs was performed using the SAMtools software. The identification of the sugarcane clones was done by calculating the genetic distance between individuals. The cluster analysis was performed using a script written in software R. The sequencing resulted in approximately 841 thousand sequences. The average size of the amplicons was 1.6 kb. High sequencing coverage (average 10,498X / amplicon) was obtained. Nine amplicons were selected, in which 356 SNPs sites were identified. The percentage of mismatches between the obtained and the reference sequences varied from 8% to 20% and the percentage of indels remained homogeneous (~ 6%). The duplicates of the same individual used as biological control formed a knot with a consistency of 94% in the obtained dendrogram, however they did not present perfect genetic identity between them. It is suggested that this fact is mainly associated with the high rate of sequencing error of the Oxford Nanopore sequencing technology, evidencing the difficulty of its use in applications that require a genetic identification with a high degree of security, as occurs in problems involving clonal identification in sugar cane.
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spelling Coelho, Alexandre Siqueira Guedeshttp://lattes.cnpq.br/0840926305216925Bandeira, Ludmila Ferreirahttp://lattes.cnpq.br/5329718658913234Coelho, Alexandre Siqueira GuedesNovaes, EvandroBorba, Tereza Cristina de OliveiraTaquary, Adriana Maria AntunesVianello, Rosana Pereirahttp://lattes.cnpq.br/8335789416382809Borges, Sâmella de Souza2020-09-14T10:22:29Z2020-09-14T10:22:29Z2020-03-31BORGES, S. S. Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.). 2020. 65 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2020.http://repositorio.bc.ufg.br/tede/handle/tede/10664ark:/38995/001300000dmj4Brazil is currently the world's largest producer of sugarcane, which is the raw material for two important products for the Brazilian economy: sugar and ethanol. Aiming both to assess the Oxford Nanopore technology for genotyping applications for sequencing (Genotyping By Sequencing - GBS), with the differential to obtain a high sequencing coverage (> 1,000x), how to develop a GBS platform to to identify sugarcane clones, safely and conveniently, this work used the MinION platform to perform genotyping based on the sequencing of 48 individuals. For this, using the genome of Sorghum bicolor as reference and a set of libraries of sugarcane transcripts, 20 pairs of primers were designed, which were used to obtain amplicons, in which SNPs molecular markers were identified (Single Nucleotide Polymorphisms). Six sequencing libraries were built, the first two being used in pilot trials. The alignment of the sequences obtained in the reference genome was performed using the BWA program. The identification and genotyping of the SNPs was performed using the SAMtools software. The identification of the sugarcane clones was done by calculating the genetic distance between individuals. The cluster analysis was performed using a script written in software R. The sequencing resulted in approximately 841 thousand sequences. The average size of the amplicons was 1.6 kb. High sequencing coverage (average 10,498X / amplicon) was obtained. Nine amplicons were selected, in which 356 SNPs sites were identified. The percentage of mismatches between the obtained and the reference sequences varied from 8% to 20% and the percentage of indels remained homogeneous (~ 6%). The duplicates of the same individual used as biological control formed a knot with a consistency of 94% in the obtained dendrogram, however they did not present perfect genetic identity between them. It is suggested that this fact is mainly associated with the high rate of sequencing error of the Oxford Nanopore sequencing technology, evidencing the difficulty of its use in applications that require a genetic identification with a high degree of security, as occurs in problems involving clonal identification in sugar cane.O Brasil é, atualmente, o maior produtor mundial de cana-de-açúcar, que é matéria prima de dois importantes produtos para a economia brasileira: o açúcar e o etanol. Com intuito tanto de se avaliar a tecnologia Oxford Nanopore para aplicações de genotipagem por sequenciamento (Genotyping By Sequencing – GBS), tendo como diferencial a obtenção de uma alta cobertura de sequenciamento (>1.000X), como de se desenvolver uma plataforma GBS capaz de identificar clones de cana-de-açúcar, com segurança e praticidade, este trabalho utilizou a plataforma MinION para a realização da genotipagem com base no sequenciamento de 48 indivíduos. Para isto, utilizando-se o genoma de Sorghum bicolor como referência e um conjunto de bibliotecas de transcritos de cana-de-açúcar, foram desenhados 20 pares de primers, os quais foram utilizados para obtenção de amplicons, nos quais foram identificados marcadores moleculares SNPs (Single Nucleotide Polymorphisms). Foram construídas seis bibliotecas de sequenciamento, sendo as duas primeiras utilizadas em ensaios-piloto. O alinhamento das sequências obtidas no genoma de referência foi realizado utilizando-se o programa BWA. A identificação e genotipagem dos SNPs foi realizada utilizando-se o software SAMtools. A identificação dos clones de cana-de-açúcar foi feita a partir do cálculo da distância genética entre os indivíduos. A análise de agrupamento foi realizada utilizando-se um script escrito no software R. O sequenciamento resultou em cerca de 841 mil sequências. O tamanho médio dos amplicons foi de 1,6 kb. Obteve-se uma alta cobertura de sequenciamento (média de 10.498X/amplicon). Nove amplicons foram selecionados, nos quais foram identificados 356 sítios SNPs. A porcentagem de mismatches entre as sequências obtidas e a de referência variou de 8% a 20% e a porcentagem de indels manteve-se homogênea (~6%). As duplicatas de um mesmo indivíduo utilizadas como controle biológico formaram nó com consistência de 94% no dendrograma obtido, entretanto não apresentaram identidade genética perfeita entre elas. Sugere-se que tal fato esteja associado principalmente à alta taxa de erro de sequenciamento da tecnologia de sequenciamento Oxford Nanopore, evidenciando a dificuldade de sua utilização em aplicações que demandem uma identificação genética com alto grau de segurança, como ocorre em problemas envolvendo a identificação clonal em cana-de-açúcar.Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2020-09-11T14:05:55Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Dissertação - Sâmella de Souza Borges - 2020.pdf: 1812009 bytes, checksum: b672780b9487f1373c474a079ffbc0ce (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2020-09-14T10:22:29Z (GMT) No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Dissertação - Sâmella de Souza Borges - 2020.pdf: 1812009 bytes, checksum: b672780b9487f1373c474a079ffbc0ce (MD5)Made available in DSpace on 2020-09-14T10:22:29Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Dissertação - Sâmella de Souza Borges - 2020.pdf: 1812009 bytes, checksum: b672780b9487f1373c474a079ffbc0ce (MD5) Previous issue date: 2020-03-31OutroporUniversidade Federal de GoiásPrograma de Pós-graduação em Genética e Melhoramento de Plantas (EA)UFGBrasilEscola de Agronomia - EA (RG)Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessOxford Nanopore technologiesGenotipagem por sequenciamentoIdentificação clonalOxford Nanopore technologiesGenotyping by sequencingClonal identificationCIENCIAS BIOLOGICAS::GENETICA::GENETICA VEGETALAvaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)Evaluation of Oxford Nanopore technology to analyze the genetic identity of sugarcane clones (Saccharum spp.)info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis5650050050050026515reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/60d8cf64-2824-4d52-a415-c1a778153183/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811http://repositorio.bc.ufg.br/tede/bitstreams/e0ab9459-ce92-4024-a06f-45349dae33c2/downloade39d27027a6cc9cb039ad269a5db8e34MD52ORIGINALDissertação - Sâmella de Souza Borges - 2020.pdfDissertação - Sâmella de Souza Borges - 2020.pdfapplication/pdf1812009http://repositorio.bc.ufg.br/tede/bitstreams/e9559dc0-1e43-44ad-819a-acfd935f4156/downloadb672780b9487f1373c474a079ffbc0ceMD53tede/106642020-09-14 07:22:31.857http://creativecommons.org/licenses/by-nc-nd/3.0/br/Attribution-NonCommercial-NoDerivs 3.0 Brazilopen.accessoai:repositorio.bc.ufg.br:tede/10664http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2020-09-14T10:22:31Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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
dc.title.pt_BR.fl_str_mv Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
dc.title.alternative.eng.fl_str_mv Evaluation of Oxford Nanopore technology to analyze the genetic identity of sugarcane clones (Saccharum spp.)
title Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
spellingShingle Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
Borges, Sâmella de Souza
Oxford Nanopore technologies
Genotipagem por sequenciamento
Identificação clonal
Oxford Nanopore technologies
Genotyping by sequencing
Clonal identification
CIENCIAS BIOLOGICAS::GENETICA::GENETICA VEGETAL
title_short Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
title_full Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
title_fullStr Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
title_full_unstemmed Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
title_sort Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
author Borges, Sâmella de Souza
author_facet Borges, Sâmella de Souza
author_role author
dc.contributor.advisor1.fl_str_mv Coelho, Alexandre Siqueira Guedes
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0840926305216925
dc.contributor.advisor-co1.fl_str_mv Bandeira, Ludmila Ferreira
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/5329718658913234
dc.contributor.referee1.fl_str_mv Coelho, Alexandre Siqueira Guedes
dc.contributor.referee2.fl_str_mv Novaes, Evandro
dc.contributor.referee3.fl_str_mv Borba, Tereza Cristina de Oliveira
dc.contributor.referee4.fl_str_mv Taquary, Adriana Maria Antunes
dc.contributor.referee5.fl_str_mv Vianello, Rosana Pereira
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/8335789416382809
dc.contributor.author.fl_str_mv Borges, Sâmella de Souza
contributor_str_mv Coelho, Alexandre Siqueira Guedes
Bandeira, Ludmila Ferreira
Coelho, Alexandre Siqueira Guedes
Novaes, Evandro
Borba, Tereza Cristina de Oliveira
Taquary, Adriana Maria Antunes
Vianello, Rosana Pereira
dc.subject.por.fl_str_mv Oxford Nanopore technologies
Genotipagem por sequenciamento
Identificação clonal
topic Oxford Nanopore technologies
Genotipagem por sequenciamento
Identificação clonal
Oxford Nanopore technologies
Genotyping by sequencing
Clonal identification
CIENCIAS BIOLOGICAS::GENETICA::GENETICA VEGETAL
dc.subject.eng.fl_str_mv Oxford Nanopore technologies
Genotyping by sequencing
Clonal identification
dc.subject.cnpq.fl_str_mv CIENCIAS BIOLOGICAS::GENETICA::GENETICA VEGETAL
description Brazil is currently the world's largest producer of sugarcane, which is the raw material for two important products for the Brazilian economy: sugar and ethanol. Aiming both to assess the Oxford Nanopore technology for genotyping applications for sequencing (Genotyping By Sequencing - GBS), with the differential to obtain a high sequencing coverage (> 1,000x), how to develop a GBS platform to to identify sugarcane clones, safely and conveniently, this work used the MinION platform to perform genotyping based on the sequencing of 48 individuals. For this, using the genome of Sorghum bicolor as reference and a set of libraries of sugarcane transcripts, 20 pairs of primers were designed, which were used to obtain amplicons, in which SNPs molecular markers were identified (Single Nucleotide Polymorphisms). Six sequencing libraries were built, the first two being used in pilot trials. The alignment of the sequences obtained in the reference genome was performed using the BWA program. The identification and genotyping of the SNPs was performed using the SAMtools software. The identification of the sugarcane clones was done by calculating the genetic distance between individuals. The cluster analysis was performed using a script written in software R. The sequencing resulted in approximately 841 thousand sequences. The average size of the amplicons was 1.6 kb. High sequencing coverage (average 10,498X / amplicon) was obtained. Nine amplicons were selected, in which 356 SNPs sites were identified. The percentage of mismatches between the obtained and the reference sequences varied from 8% to 20% and the percentage of indels remained homogeneous (~ 6%). The duplicates of the same individual used as biological control formed a knot with a consistency of 94% in the obtained dendrogram, however they did not present perfect genetic identity between them. It is suggested that this fact is mainly associated with the high rate of sequencing error of the Oxford Nanopore sequencing technology, evidencing the difficulty of its use in applications that require a genetic identification with a high degree of security, as occurs in problems involving clonal identification in sugar cane.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-09-14T10:22:29Z
dc.date.available.fl_str_mv 2020-09-14T10:22:29Z
dc.date.issued.fl_str_mv 2020-03-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv BORGES, S. S. Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.). 2020. 65 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2020.
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identifier_str_mv BORGES, S. S. Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.). 2020. 65 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2020.
ark:/38995/001300000dmj4
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