Data/hora: 26/06/2024 15:54:11

Biblioteca(s): 	Epagri-Sede.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	Internacional - A	
Data corrente: 	19/02/2015	
Data da última atualização: 	19/02/2015	
Autoria: 	COSTA, P. B.; GRANADA, C. E.; AMBROSINI, A.; MOREIRA, F.; SOUZA, R.; PASSOS, J. F. M.; ARRUDA, L.; PASSAGLIA, L. M. P.	
Título: 	A model to explain plant growth promotion traits: A multivariate analysis of 2,211 bacterial isolates.	
Ano de publicação: 	2014	
Fonte/Imprenta: 	PLoS ONE, Itália, v. 9, n. 12, p. 1-25, 2014.	
Idioma: 	Inglês	
Conteúdo: 	Plant growth-promoting bacteria can greatly assist sustainable farming by improving plant health and biomass while reducing fertilizer use. The plantmicroorganism-environment interaction is an open and complex system, and despite the active research in the area, patterns in root ecology are elusive. Here, we simultaneously analyzed the plant growth-promoting bacteria datasets from seven independent studies that shared a methodology for bioprospection and phenotype screening. The soil richness of the isolate?s origin was classified by a Principal Component Analysis. A Categorical Principal Component Analysis was used to classify the soil richness according to isolate?s indolic compound production, siderophores production and phosphate solubilization abilities, and bacterial genera composition. Multiple patterns and relationships were found and verified with nonparametric hypothesis testing. Including niche colonization in the analysis, we proposed a model to explain the expression of bacterial plant growthpromoting traits according to the soil nutritional status. Our model shows that plants favor interaction with growth hormone producers under rich nutrient conditions but favor nutrient solubilizers under poor conditions. We also performed several comparisons among the different genera, highlighting interesting ecological interactions and limitations. Our model could be used to direct plant growthpromoting bacteria bioprospection and metagenomic sampling.	
Palavras-Chave: 	Bioprospection; PCA; PGPB.	
Categoria do assunto: 	S Ciências Biológicas	
URL: 	http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_35686.pdf	
Registro original: 	Epagri-Sede (Epagri-Sede)	
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