Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática

Detalhes bibliográficos
Autor(a) principal: Meneghello, Geri Eduardo
Data de Publicação: 2007
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFPel - Guaiaca
Texto Completo: http://repositorio.ufpel.edu.br/handle/ri/1450
Resumo: The main reserve components in seeds are carbohydrates, lipids and proteins. Aside from their nutritious role, proteins have several important functions in seeds, being essential to the molecular biology of the plant. The detailed knowledge of proteins makes it possible to outline strategies of genetic improvement aimed at increasing production and tolerance to different pathologies, among other traits. Progress in the molecular biology, genomics and proteomics impelled the creation of a great volume of data on proteins of several vegetable species, with information about their functionality in the several tissues and organs they are part of. To use this information, it is necessary to rely on computational tools. This need impelled the appearance and development of bioinformatics, e.g. the use of computational tools for the study of biological data. The objective of this work was to quantify the proteins related to the seeds described already and available in the Swiss- Prot database, and to verify the similarity and hydrophobic pattern of the proteins with same function in different species. A detailed consultation was performed in the Swiss-Prot database, in search of proteins found in seeds, seedlings and their component tissues. The sequences found were grouped and analyzed according to the tissue in which they were expressed, epicotyl, aleurone, coleoptile, cotyledon, endosperm, hypocotyl, mesocotyl, immature seed, seedling and seeds. Alignments were performed among the sequences with similar function in different organs and in different species to verify similarities across tissues and species. The hydrophobic/ hydrophilic character in the proteins found was analyzed to identify patterns. Four hundred and fifty seed-related proteins are in stock at the Swiss Prot database. Oryza sativa, Zea mays, Arabidopsis thaliana, Triticum aestivum, Hordeum vulgare, Glycine max, which are the species that possess the largest number of seed proteins studied so far. There isn t a similarity in the sequences of amino acids of the proteins with same function
id UFPL_191a70bfc467fc658d805000411f729b
oai_identifier_str oai:guaiaca.ufpel.edu.br:123456789/1450
network_acronym_str UFPL
network_name_str Repositório Institucional da UFPel - Guaiaca
repository_id_str
spelling Meneghello, Geri Eduardohttp://lattes.cnpq.br/4588786382435715http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4790093Y9Barros, Antônio Carlos Souza Albuquerquehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781024Z1Zimmer, Paulo Dejalma2014-08-20T13:44:38Z2008-04-152014-08-20T13:44:38Z2007-04-04MENEGHELLO, Geri Eduardo. In silico analysis of proteins present in seeds stocked at the swiss-prot database. 2007. 75 f. Tese (Doutorado em Agronomia) - Universidade Federal de Pelotas, Pelotas, 2007.http://repositorio.ufpel.edu.br/handle/ri/1450The main reserve components in seeds are carbohydrates, lipids and proteins. Aside from their nutritious role, proteins have several important functions in seeds, being essential to the molecular biology of the plant. The detailed knowledge of proteins makes it possible to outline strategies of genetic improvement aimed at increasing production and tolerance to different pathologies, among other traits. Progress in the molecular biology, genomics and proteomics impelled the creation of a great volume of data on proteins of several vegetable species, with information about their functionality in the several tissues and organs they are part of. To use this information, it is necessary to rely on computational tools. This need impelled the appearance and development of bioinformatics, e.g. the use of computational tools for the study of biological data. The objective of this work was to quantify the proteins related to the seeds described already and available in the Swiss- Prot database, and to verify the similarity and hydrophobic pattern of the proteins with same function in different species. A detailed consultation was performed in the Swiss-Prot database, in search of proteins found in seeds, seedlings and their component tissues. The sequences found were grouped and analyzed according to the tissue in which they were expressed, epicotyl, aleurone, coleoptile, cotyledon, endosperm, hypocotyl, mesocotyl, immature seed, seedling and seeds. Alignments were performed among the sequences with similar function in different organs and in different species to verify similarities across tissues and species. The hydrophobic/ hydrophilic character in the proteins found was analyzed to identify patterns. Four hundred and fifty seed-related proteins are in stock at the Swiss Prot database. Oryza sativa, Zea mays, Arabidopsis thaliana, Triticum aestivum, Hordeum vulgare, Glycine max, which are the species that possess the largest number of seed proteins studied so far. There isn t a similarity in the sequences of amino acids of the proteins with same functionDentre os principais componentes de reserva de uma semente destacam-se os carboidratos, os lipídeos e as proteínas. Além da função nutritiva, as proteínas têm diversas funções importantes nas sementes, sendo integrantes da biologia molecular da planta. O conhecimento detalhado das proteínas possibilita que sejam adotadas estratégias de melhoramento genético visando aumento de produção, resistência a patógenos, etc... Avanços na biologia molecular, genômica e proteômica impulsionaram a criação de um grande volume de dados sobre proteínas de diversas espécies vegetais, com informações sobre a sua funcionalidade nos diversos tecidos e órgãos. Para utilizar essas informações, é imprescindível a utilização de ferramentas computacionais. Essa necessidade impulsionou o surgimento e o desenvolvimento da bioinformática, que é a utilização de ferramentas computacionais para o estudo de dados biológicos. O objetivo deste trabalho foi quantificar as proteínas relacionadas às sementes já descritas e disponíveis no banco Swiss-Prot, e verificar a similaridade e padrão de hidrofobicidade das proteínas de mesma função em espécies diferentes. Para isso, foi feita uma consulta detalhada no banco de dados Swiss-Prot em busca de proteínas encontradas em sementes, plântulas e seus diversos tecidos. As seqüências encontradas foram agrupadas por tecido, sendo selecionadas e analisadas aquelas expressas no epicótilo, camada de aleurona, coleóptilo, cotilédones, endosperma, hipocótilo, mesocótilo, semente imatura, plântula e semente. Realizou-se alinhamentos entre as seqüências com função similar encontradas em diferentes órgãos e em diferentes espécies para verificar a similaridade existente entre as mesmas. Estudou-se a hidrofobicidade/hidrofilicidade nas proteínas encontradas, buscando identificar padrões. Existem 450 proteínas relacionadas a sementes depositadas no banco de dados Swiss-Prot.Oryza sativa, Zea mays, Arabidopsis thaliana, Triticum aestivum, Hordeum vulgare, Glycine max são espécies que possuem um maior número de proteínas de sementes estudadas. Não há um padrão de similaridade nas seqüências de aminoácidos das proteínas de mesma funçãoapplication/pdfporUniversidade Federal de PelotasPrograma de Pós-Graduação em Ciência e Tecnologia de SementesUFPelBRFaculdade de Agronomia Eliseu MacielBioinformáticaSementesEstrutura de proteínasBioinformaticSeedsProtein s structureCNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOTECNIA::PRODUCAO E BENEFICIAMENTO DE SEMENTESAnálise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformáticaIn silico analysis of proteins present in seeds stocked at the swiss-prot databaseinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFPel - Guaiacainstname:Universidade Federal de Pelotas (UFPEL)instacron:UFPELORIGINALtese_geri_eduardo_meneghello.pdfapplication/pdf484002http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/1450/1/tese_geri_eduardo_meneghello.pdffce3a37f2176aeefed1b425c5ccc0978MD51open accessTEXTtese_geri_eduardo_meneghello.pdf.txttese_geri_eduardo_meneghello.pdf.txtExtracted Texttext/plain139012http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/1450/2/tese_geri_eduardo_meneghello.pdf.txtb5c07ab55938282bd4730d5ec8b3b058MD52open accessTHUMBNAILtese_geri_eduardo_meneghello.pdf.jpgtese_geri_eduardo_meneghello.pdf.jpgGenerated Thumbnailimage/jpeg1337http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/1450/3/tese_geri_eduardo_meneghello.pdf.jpgbb3763cee1e3fa6bd21ff88db656ab4aMD53open access123456789/14502016-09-27 16:06:24.984open accessoai:guaiaca.ufpel.edu.br:123456789/1450Repositório InstitucionalPUBhttp://repositorio.ufpel.edu.br/oai/requestrippel@ufpel.edu.br || repositorio@ufpel.edu.br || aline.batista@ufpel.edu.bropendoar:2016-09-27T19:06:24Repositório Institucional da UFPel - Guaiaca - Universidade Federal de Pelotas (UFPEL)false
dc.title.por.fl_str_mv Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
dc.title.alternative.eng.fl_str_mv In silico analysis of proteins present in seeds stocked at the swiss-prot database
title Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
spellingShingle Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
Meneghello, Geri Eduardo
Bioinformática
Sementes
Estrutura de proteínas
Bioinformatic
Seeds
Protein s structure
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOTECNIA::PRODUCAO E BENEFICIAMENTO DE SEMENTES
title_short Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
title_full Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
title_fullStr Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
title_full_unstemmed Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
title_sort Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
author Meneghello, Geri Eduardo
author_facet Meneghello, Geri Eduardo
author_role author
dc.contributor.authorLattes.por.fl_str_mv http://lattes.cnpq.br/4588786382435715
dc.contributor.advisorLattes.por.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4790093Y9
dc.contributor.author.fl_str_mv Meneghello, Geri Eduardo
dc.contributor.advisor-co1.fl_str_mv Barros, Antônio Carlos Souza Albuquerque
dc.contributor.advisor-co1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781024Z1
dc.contributor.advisor1.fl_str_mv Zimmer, Paulo Dejalma
contributor_str_mv Barros, Antônio Carlos Souza Albuquerque
Zimmer, Paulo Dejalma
dc.subject.por.fl_str_mv Bioinformática
Sementes
Estrutura de proteínas
topic Bioinformática
Sementes
Estrutura de proteínas
Bioinformatic
Seeds
Protein s structure
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOTECNIA::PRODUCAO E BENEFICIAMENTO DE SEMENTES
dc.subject.eng.fl_str_mv Bioinformatic
Seeds
Protein s structure
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOTECNIA::PRODUCAO E BENEFICIAMENTO DE SEMENTES
description The main reserve components in seeds are carbohydrates, lipids and proteins. Aside from their nutritious role, proteins have several important functions in seeds, being essential to the molecular biology of the plant. The detailed knowledge of proteins makes it possible to outline strategies of genetic improvement aimed at increasing production and tolerance to different pathologies, among other traits. Progress in the molecular biology, genomics and proteomics impelled the creation of a great volume of data on proteins of several vegetable species, with information about their functionality in the several tissues and organs they are part of. To use this information, it is necessary to rely on computational tools. This need impelled the appearance and development of bioinformatics, e.g. the use of computational tools for the study of biological data. The objective of this work was to quantify the proteins related to the seeds described already and available in the Swiss- Prot database, and to verify the similarity and hydrophobic pattern of the proteins with same function in different species. A detailed consultation was performed in the Swiss-Prot database, in search of proteins found in seeds, seedlings and their component tissues. The sequences found were grouped and analyzed according to the tissue in which they were expressed, epicotyl, aleurone, coleoptile, cotyledon, endosperm, hypocotyl, mesocotyl, immature seed, seedling and seeds. Alignments were performed among the sequences with similar function in different organs and in different species to verify similarities across tissues and species. The hydrophobic/ hydrophilic character in the proteins found was analyzed to identify patterns. Four hundred and fifty seed-related proteins are in stock at the Swiss Prot database. Oryza sativa, Zea mays, Arabidopsis thaliana, Triticum aestivum, Hordeum vulgare, Glycine max, which are the species that possess the largest number of seed proteins studied so far. There isn t a similarity in the sequences of amino acids of the proteins with same function
publishDate 2007
dc.date.issued.fl_str_mv 2007-04-04
dc.date.available.fl_str_mv 2008-04-15
2014-08-20T13:44:38Z
dc.date.accessioned.fl_str_mv 2014-08-20T13:44:38Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv MENEGHELLO, Geri Eduardo. In silico analysis of proteins present in seeds stocked at the swiss-prot database. 2007. 75 f. Tese (Doutorado em Agronomia) - Universidade Federal de Pelotas, Pelotas, 2007.
dc.identifier.uri.fl_str_mv http://repositorio.ufpel.edu.br/handle/ri/1450
identifier_str_mv MENEGHELLO, Geri Eduardo. In silico analysis of proteins present in seeds stocked at the swiss-prot database. 2007. 75 f. Tese (Doutorado em Agronomia) - Universidade Federal de Pelotas, Pelotas, 2007.
url http://repositorio.ufpel.edu.br/handle/ri/1450
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Pelotas
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Ciência e Tecnologia de Sementes
dc.publisher.initials.fl_str_mv UFPel
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Faculdade de Agronomia Eliseu Maciel
publisher.none.fl_str_mv Universidade Federal de Pelotas
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFPel - Guaiaca
instname:Universidade Federal de Pelotas (UFPEL)
instacron:UFPEL
instname_str Universidade Federal de Pelotas (UFPEL)
instacron_str UFPEL
institution UFPEL
reponame_str Repositório Institucional da UFPel - Guaiaca
collection Repositório Institucional da UFPel - Guaiaca
bitstream.url.fl_str_mv http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/1450/1/tese_geri_eduardo_meneghello.pdf
http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/1450/2/tese_geri_eduardo_meneghello.pdf.txt
http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/1450/3/tese_geri_eduardo_meneghello.pdf.jpg
bitstream.checksum.fl_str_mv fce3a37f2176aeefed1b425c5ccc0978
b5c07ab55938282bd4730d5ec8b3b058
bb3763cee1e3fa6bd21ff88db656ab4a
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFPel - Guaiaca - Universidade Federal de Pelotas (UFPEL)
repository.mail.fl_str_mv rippel@ufpel.edu.br || repositorio@ufpel.edu.br || aline.batista@ufpel.edu.br
_version_ 1797767525510938624