Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries

Detalhes bibliográficos
Autor(a) principal: Molina, Lorrayne Gomes
Data de Publicação: 2012
Outros Autores: Fonseca, Guilherme Cordenonsi da, Morais, Guilherme Loss de, Oliveira, Luiz Felipe Valter de, Carvalho, Joseane Biso de, Kulcheski, Franceli Rodrigues, Margis, Rogerio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/207146
Resumo: A large number of small RNAs unrelated to the soybean genome were identified after deep sequencing of soybean small RNA libraries. A metatranscriptomic analysis was carried out to identify the origin of these sequences. Comparative analyses of small interference RNAs (siRNAs) present in samples collected in open areas corresponding to soybean field plantations and samples from soybean cultivated in greenhouses under a controlled environment were made. Different pathogenic, symbiotic and free-living organisms were identified from samples of both growth systems. They included viruses, bacteria and different groups of fungi. This approach can be useful not only to identify potentially unknown pathogens and pests, but also to understand the relations that soybean plants establish with microorganisms that may affect, directly or indirectly, plant health and crop production.
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spelling Molina, Lorrayne GomesFonseca, Guilherme Cordenonsi daMorais, Guilherme Loss deOliveira, Luiz Felipe Valter deCarvalho, Joseane Biso deKulcheski, Franceli RodriguesMargis, Rogerio2020-05-01T04:08:58Z20121415-4757http://hdl.handle.net/10183/207146001103549A large number of small RNAs unrelated to the soybean genome were identified after deep sequencing of soybean small RNA libraries. A metatranscriptomic analysis was carried out to identify the origin of these sequences. Comparative analyses of small interference RNAs (siRNAs) present in samples collected in open areas corresponding to soybean field plantations and samples from soybean cultivated in greenhouses under a controlled environment were made. Different pathogenic, symbiotic and free-living organisms were identified from samples of both growth systems. They included viruses, bacteria and different groups of fungi. This approach can be useful not only to identify potentially unknown pathogens and pests, but also to understand the relations that soybean plants establish with microorganisms that may affect, directly or indirectly, plant health and crop production.application/pdfengGenetics and molecular biology. Ribeirão Preto. Vol. 35, n. 1 suppl (May 2012), p. 292-303RNASojaMarcadores molecularesNext generation sequencingSmall RNASiRNAMolecular markersMetatranscriptomic analysis of small RNAs present in soybean deep sequencing librariesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001103549.pdf.txt001103549.pdf.txtExtracted Texttext/plain72223http://www.lume.ufrgs.br/bitstream/10183/207146/2/001103549.pdf.txt79831768f19b3df9c8d563f6f0127722MD52ORIGINAL001103549.pdfTexto completo (inglês)application/pdf2478618http://www.lume.ufrgs.br/bitstream/10183/207146/1/001103549.pdf5d56dc0e20f59770463d1a344068603bMD5110183/2071462024-05-23 06:42:42.826176oai:www.lume.ufrgs.br:10183/207146Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-05-23T09:42:42Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
title Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
spellingShingle Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
Molina, Lorrayne Gomes
RNA
Soja
Marcadores moleculares
Next generation sequencing
Small RNA
SiRNA
Molecular markers
title_short Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
title_full Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
title_fullStr Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
title_full_unstemmed Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
title_sort Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
author Molina, Lorrayne Gomes
author_facet Molina, Lorrayne Gomes
Fonseca, Guilherme Cordenonsi da
Morais, Guilherme Loss de
Oliveira, Luiz Felipe Valter de
Carvalho, Joseane Biso de
Kulcheski, Franceli Rodrigues
Margis, Rogerio
author_role author
author2 Fonseca, Guilherme Cordenonsi da
Morais, Guilherme Loss de
Oliveira, Luiz Felipe Valter de
Carvalho, Joseane Biso de
Kulcheski, Franceli Rodrigues
Margis, Rogerio
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Molina, Lorrayne Gomes
Fonseca, Guilherme Cordenonsi da
Morais, Guilherme Loss de
Oliveira, Luiz Felipe Valter de
Carvalho, Joseane Biso de
Kulcheski, Franceli Rodrigues
Margis, Rogerio
dc.subject.por.fl_str_mv RNA
Soja
Marcadores moleculares
topic RNA
Soja
Marcadores moleculares
Next generation sequencing
Small RNA
SiRNA
Molecular markers
dc.subject.eng.fl_str_mv Next generation sequencing
Small RNA
SiRNA
Molecular markers
description A large number of small RNAs unrelated to the soybean genome were identified after deep sequencing of soybean small RNA libraries. A metatranscriptomic analysis was carried out to identify the origin of these sequences. Comparative analyses of small interference RNAs (siRNAs) present in samples collected in open areas corresponding to soybean field plantations and samples from soybean cultivated in greenhouses under a controlled environment were made. Different pathogenic, symbiotic and free-living organisms were identified from samples of both growth systems. They included viruses, bacteria and different groups of fungi. This approach can be useful not only to identify potentially unknown pathogens and pests, but also to understand the relations that soybean plants establish with microorganisms that may affect, directly or indirectly, plant health and crop production.
publishDate 2012
dc.date.issued.fl_str_mv 2012
dc.date.accessioned.fl_str_mv 2020-05-01T04:08:58Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/207146
dc.identifier.issn.pt_BR.fl_str_mv 1415-4757
dc.identifier.nrb.pt_BR.fl_str_mv 001103549
identifier_str_mv 1415-4757
001103549
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv Genetics and molecular biology. Ribeirão Preto. Vol. 35, n. 1 suppl (May 2012), p. 292-303
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reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
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