Avaliação da tecnologia Oxford Nanopore para análise de identidade genética de clones de cana-de-açúcar (Saccharum spp.)
Autor(a) principal: | |
---|---|
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
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. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/10664 |
dc.identifier.dark.fl_str_mv |
ark:/38995/001300000dmj4 |
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 |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/10664 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
56 |
dc.relation.confidence.fl_str_mv |
500 500 500 500 |
dc.relation.department.fl_str_mv |
2 |
dc.relation.cnpq.fl_str_mv |
651 |
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5 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Genética e Melhoramento de Plantas (EA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia - EA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
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Universidade Federal de Goiás (UFG) |
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UFG |
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UFG |
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Repositório Institucional da UFG |
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