Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200010 |
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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Genetics and Molecular Biology |
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Metatranscriptomic analysis of small RNAs present in soybean deep sequencing librariesnext generation sequencingsmall RNAsiRNAmolecular markersA 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.Sociedade Brasileira de Genética2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200010Genetics and Molecular Biology v.35 n.1 suppl.1 2012reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572012000200010info:eu-repo/semantics/openAccessMolina,Lorrayne GomesCordenonsi da Fonseca,GuilhermeMorais,Guilherme Loss dede Oliveira,Luiz Felipe ValterCarvalho,Joseane Biso deKulcheski,Franceli RodriguesMargis,Rogerioeng2012-06-01T00:00:00Zoai:scielo:S1415-47572012000200010Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2012-06-01T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.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 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 Cordenonsi da Fonseca,Guilherme Morais,Guilherme Loss de de Oliveira,Luiz Felipe Valter Carvalho,Joseane Biso de Kulcheski,Franceli Rodrigues Margis,Rogerio |
author_role |
author |
author2 |
Cordenonsi da Fonseca,Guilherme Morais,Guilherme Loss de de Oliveira,Luiz Felipe Valter 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 Cordenonsi da Fonseca,Guilherme Morais,Guilherme Loss de de Oliveira,Luiz Felipe Valter Carvalho,Joseane Biso de Kulcheski,Franceli Rodrigues Margis,Rogerio |
dc.subject.por.fl_str_mv |
next generation sequencing small RNA siRNA molecular markers |
topic |
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.none.fl_str_mv |
2012-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200010 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200010 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572012000200010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.35 n.1 suppl.1 2012 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122384560685056 |