Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132017000100201 |
Resumo: | ABSTRACT The microbial composition of different types,in ecosystems (including agro-ecosystems), has been investigated in a rapidly growing number of studies in the past few years. The importance of microorganisms, regarding the maintenance and stability of nutrients in agroecosystems, is a key to maintain the sustainability of a crop. Molecular tools to study microbial communities are possible through many methods such as RISA, DGGE, TGGE, clone libraries, T-RFLP, RAPD, SSCP and more recently NGS (Next-Generation Sequencing). DGGE is widely employed to characterize the diversity and the community dynamics of microorganisms in the environment, making possible to find out specific groups through functional genes, allowing access to data that cannot be obtained by cultural methods. The aim of this paper is to review the functional groups related to agroecosystems and to indicate the critical choice of DNA primers pairs and targeted DNA regions that may be used in PCR-based methods such as the DGGE technique in order to evaluate the microbial communities in a variety of environments. |
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Brazilian Archives of Biology and Technology |
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Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystemsagroecosystemsfunctional genesbacteriaDGGEmetagenomicsmicrobial ecologyABSTRACT The microbial composition of different types,in ecosystems (including agro-ecosystems), has been investigated in a rapidly growing number of studies in the past few years. The importance of microorganisms, regarding the maintenance and stability of nutrients in agroecosystems, is a key to maintain the sustainability of a crop. Molecular tools to study microbial communities are possible through many methods such as RISA, DGGE, TGGE, clone libraries, T-RFLP, RAPD, SSCP and more recently NGS (Next-Generation Sequencing). DGGE is widely employed to characterize the diversity and the community dynamics of microorganisms in the environment, making possible to find out specific groups through functional genes, allowing access to data that cannot be obtained by cultural methods. The aim of this paper is to review the functional groups related to agroecosystems and to indicate the critical choice of DNA primers pairs and targeted DNA regions that may be used in PCR-based methods such as the DGGE technique in order to evaluate the microbial communities in a variety of environments.Instituto de Tecnologia do Paraná - Tecpar2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132017000100201Brazilian Archives of Biology and Technology v.60 2017reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2017160370info:eu-repo/semantics/openAccessReali,CatiuscaPilz Júnior,Harry LuizMeile,Jean ChristopheGalindo,Sabine ShorrFiuza,Lidia Marianaeng2017-05-02T00:00:00Zoai:scielo:S1516-89132017000100201Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2017-05-02T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
title |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
spellingShingle |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems Reali,Catiusca agroecosystems functional genes bacteria DGGE metagenomics microbial ecology |
title_short |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
title_full |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
title_fullStr |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
title_full_unstemmed |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
title_sort |
Functional Genes of Microorganisms, Comprehending the Dynamics of Agricultural Ecosystems |
author |
Reali,Catiusca |
author_facet |
Reali,Catiusca Pilz Júnior,Harry Luiz Meile,Jean Christophe Galindo,Sabine Shorr Fiuza,Lidia Mariana |
author_role |
author |
author2 |
Pilz Júnior,Harry Luiz Meile,Jean Christophe Galindo,Sabine Shorr Fiuza,Lidia Mariana |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Reali,Catiusca Pilz Júnior,Harry Luiz Meile,Jean Christophe Galindo,Sabine Shorr Fiuza,Lidia Mariana |
dc.subject.por.fl_str_mv |
agroecosystems functional genes bacteria DGGE metagenomics microbial ecology |
topic |
agroecosystems functional genes bacteria DGGE metagenomics microbial ecology |
description |
ABSTRACT The microbial composition of different types,in ecosystems (including agro-ecosystems), has been investigated in a rapidly growing number of studies in the past few years. The importance of microorganisms, regarding the maintenance and stability of nutrients in agroecosystems, is a key to maintain the sustainability of a crop. Molecular tools to study microbial communities are possible through many methods such as RISA, DGGE, TGGE, clone libraries, T-RFLP, RAPD, SSCP and more recently NGS (Next-Generation Sequencing). DGGE is widely employed to characterize the diversity and the community dynamics of microorganisms in the environment, making possible to find out specific groups through functional genes, allowing access to data that cannot be obtained by cultural methods. The aim of this paper is to review the functional groups related to agroecosystems and to indicate the critical choice of DNA primers pairs and targeted DNA regions that may be used in PCR-based methods such as the DGGE technique in order to evaluate the microbial communities in a variety of environments. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
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=S1516-89132017000100201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132017000100201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2017160370 |
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 |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.60 2017 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318277807046656 |