Análise in sílico de proteínas relacionadas a sementes e identificação de microssatélites através da bioinformática
Autor(a) principal: | |
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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 |
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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 |
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