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Biblioteca(s):  Embrapa Meio Ambiente.
Data corrente:  11/02/2016
Data da última atualização:  12/02/2016
Tipo da produção científica:  Resumo em Anais de Congresso
Autoria:  MENDES, L. W.; MENDES, R.; TSAI, S. M.
Afiliação:  L. W. MENDES, ESALQ/USP; RODRIGO MENDES, CNPMA; S. M. TSAI, ESALQ/USP.
Título:  Metagenomic analysis of the rhizosphere microbiome of the common bean resistant to Fusarium oxysporum.
Ano de publicação:  2015
Fonte/Imprenta:  In: RHIZOSPHERE, 4., 2015, Maastricht. Stretching the interface of life: abstracts... Maastricht: Wageningen University & Research Centre and the Netherlands Institute of Ecology, 2015. Ref. 56.
Páginas:  34-35
Idioma:  Inglês
Conteúdo:  The rhizosphere microbiome plays a key role in the functioning of the host plant, influencing its physiology and development. It has been suggested that plants use mechanisms present in the rhizosphere microbiome to fend off infections, such as fungal diseases. This work aimed to assess the microbial community inhabiting the common bean rhizosphere in order to identify potential groups related to the suppression of the soil-borne pathogen Fusarium oxysporum. Therefore, using shotgun metagenomic sequencing (Illumina Miseq), we investigated the phylogenetic and potential functional diversity of microbial communities colonizing the rhizosphere of four cultivars of common bean with different levels of resistance to the fungus, ranging from high susceptibility to resistant. Quantitative PCR of total bacteria in rhizosphere samples showed in increase of 16S rRNA copy number with the increase of resistance to the fungus. Mesocosms experiments, including four common bean cultivars cultivated in Amazonian Dark Earth and three replicates, were conducted in greenhouse conditions and we obtained over than 12 million metagenomic sequences. The overall microbial diversity did not present significant variations across common bean cultivars. From the classified sequences, 97,4% were affiliated to Bacteria and 1,48% to Archaea. Proteobacteria represented the most abundant phyla (41,7%), followed by Actinobacteria (29,4%), Firmicutes (5,9%) and Acidobacteria (4,1%). The microbial communities ... Mostrar Tudo
Palavras-Chave:  Metagenômica.
Thesagro:  Feijão; Fusarium Oxysporum.
Thesaurus Nal:  Metagenomics.
Categoria do assunto:  S Ciências Biológicas
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138807/1/2015RA-067.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Meio Ambiente (CNPMA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPMA14869 - 1UPCRA - DD2015RA_067
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Registro Completo

Biblioteca(s):  Embrapa Territorial.
Data corrente:  23/09/2003
Data da última atualização:  30/07/2014
Tipo da produção científica:  Artigo em Anais de Congresso
Autoria:  BATISTELLA, M.; LU, D.
Afiliação:  Embrapa Monitoramento por Satélite; Indiana University-CIPEC.
Título:  Integrating field data and remote sensing to identify secondary succession stages in the Amazon.
Ano de publicação:  2002
Fonte/Imprenta:  In: INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 29., 2002, Buenos Aires-Argentina. Anais... Buenos Aires: ISPRS, 2002. 4p.
Descrição Física:  folhas avulsas, il.
Idioma:  Inglês
Conteúdo:  Secondary succession (SS) of tropical forest ecosystems follows disturbances such as deforestation. Sharp distinctions between SS stages are often artificial, but useful in Land-Use/Land-Cover (LULC) classifications. In this paper, results for vegetation structure in Rondônia, Brazilian Amazon, are presented as a basis for discussing the reflectance of SS stages when using Landsat TM imagery. Vegetation structure data were collected through 32 surveys encompassing initial SS (SS1), intermediate SS (SS2), advanced SS (SS3), and forest. The results informed the classification of a TM image acquired in 1998. Statistical analyses were performed. SS1, SS2, SS3, and forest were well separated when using solely the data for vegetation structure (p<0.001). However, analyses of reflectance on selected TM bands allowed the separation of only three of these classes (SS1 and SS2 mixed together, SS3, and forest). These findings contribute to the spatialtemporal monitoring of Amazonian landscapes and their LULC dynamics.
Palavras-Chave:  Amazonas.
Thesagro:  Desmatamento; Floresta Tropical Úmida; Sensoriamento Remoto.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/105670/1/849.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Territorial (CNPM)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPM849 - 1UPCAA - PP02/013AA2002.013
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