assessing the diversity of bacterial communities associated with plants avaliação da diversidade de comunidades bacterianas associadas às plantas

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ID: 145291
2009
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Abstract
Plant-bacteria interactions result from reciprocal recognition between both species. These interactions are responsible for essential biological processes in plant development and health status. Here, we present a review of the methodologies applied to investigate shifts in bacterial communities associated with plants. A description of techniques is made from initial isolations to culture-independent approaches focusing on quantitative Polymerase Chain Reaction in real time (qPCR), Denaturing Gradient Gel Electrophoresis (DGGE), clone library construction and analysis, the application of multivariate analyses to microbial ecology data and the upcoming high throughput methodologies such as microarrays and pyrosequencing. This review supplies information about the development of traditional methods and a general overview about the new insights into bacterial communities associated with plants.
As interações planta-bactéria resultam de um reconhecimento recíproco de ambas espécies. Estas interações são responsáveis por processos biológicos essenciais para o desenvolvimento e a proteção das plantas. Este trabalho revisa as metodologias aplicadas na investigação de alterações nas comunidades bacterianas associadas às plantas. Uma descrição das técnicas é feita, desde o isolamento até a aplicação de técnicas independentes de cultivo, destacando as técnicas de qPCR, Gel de Eletroforese em Gradiente Desnaturante (DGGE), construção e análise de bibliotecas de clones, a aplicação de análise multivariada em dados de ecologia microbiana, e as novas metodologias de alto processamento de amostras como microarranjos e pirosequenciamento. Em resumo, esta revisão fornece informações sobre o desenvolvimento das técnicas tradicionais e uma visão geral sobre as novas tendências dos estudos de comunidades bacterianas associadas às plantas.
Reference Key
andreote2009brazilianassessing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Fernando Dini Andreote;João Lúcio Azevedo;Welington Luiz Araújo
Journal ieee software
Year 2009
DOI
10.1590/S1517-83822009000300001
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822009000300001
Keywords
endophytes multivariate analysis molecular techniques

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