ABSTRACT Variations in microbial communities promoted by alterations in environmental conditions are reflected in similarities/differences both at taxonomic and functional levels. Here we used a natural gradient within mangroves from seashore to upland, to contrast the natural variability in bacteria, cyanobacteria and diazotroph assemblages in a pristine area compared to an oil polluted area along a timespan of three years, based on ARISA (bacteria and cyanobacteria) and nifH T-RFLP (diazotrophs) fingerprinting. The data presented herein indicated that changes in all the communities evaluated were mainly driven by the temporal effect in the contaminated area, while local effects were dominant on the pristine mangrove. A positive correlation of community structure between diazotrophs and cyanobacteria was observed, suggesting the functional importance of this phylum as nitrogen fixers in mangroves soils. Different ecological patterns explained the microbial behavior in the pristine and polluted mangroves. Stochastic models in the pristine mangrove indicate that there is not a specific environmental factor that determines the bacterial distribution, while cyanobacteria and diazotrophs better fitted in deterministic model in the same area. For the contaminated mangrove site, deterministic models better represented the variations in the communities, suggesting that the presence of oil might change the microbial ecological structures over time. Mangroves represent a unique environment threatened by global change, and this study contributed to the knowledge of the microbial distribution in such areas and its response on persistent contamination historic events.

A cultura da cana-de-açúcar é de extrema importância no cenário agrícola nacional. No entanto, pouco se sabe sobre a estruturação das comunidades microbianas associadas aos solos e às rizosferas de tais plantas. O objetivo deste trabalho foi avaliar a estrutura e diversidade das comunidades de bactérias associadas ao solo e à rizosfera de seis variedades de cana-de-açúcar cultivadas no Estado de São Paulo (Brasil). As análises foram realizadas com base em métodos independentes de cultivo, em que a técnica de PCR-DGGE revelou alterações na rizosfera para os grupos de bactérias totais e também para os grupos de Alphaproteobacteria e Betaproteobacteria. Após essa análise, quatro amostras (três de rizosfera e uma de solo) foram usadas para o sequenciamento da região V6 do gene 16S DNAr na plataforma Ion Torrent TM. Essa análise gerou um total de 95.812 sequências, dentro das quais houve a predominância das afiliadas aos filos Actinobacteria, Proteobacteria e Acidobateria . Os resultados revelaram que as comunidades bacterianas na rizosfera são distintas daquelas encontradas no solo. Foi possível ainda observar efeito diferencial de plantas das variedades. Alguns grupos bacterianos apresentaram menor frequência na rizosfera (Acidobacteria ), enquanto outros se mostraram fortemente estimulados pela presença das raízes, comumente para todas as variedades (Betaproteobacteria , Nitrospora e Chloroflexi ), ou em respostas variedade-específicas (Bacilli e Sphingobacteria ).

Sugarcane is an extremely important crop in Brazilian agriculture. However, little is known about the structure of microbial communities associated with the soils and rhizosphere of these plants. The aim of this study was to evaluate the structure and diversity of bacterial communities associated with the soil and rhizosphere of six sugarcane varieties grown in the State of São Paulo, Brazil. Analyses were carried out based on methods not dependent on the crop, where the PCR-DGGE technique revealed alterations in the rhizosphere for the total bacteria group, and also for the Alphaproteobacteria and Betaproteobacteria groups. After that analysis, four samples (three from the rhizosphere and one from the soil) were subjected to sequencing of the V6 region of the 16S rDNA gene using the IonTorrentTM platform. This approach generated 95,812 sequences, with the prevalence of those affiliated with the phyla Actinobacteria , Proteobacteria , and Acidobacteria . Results revealed that bacterial communities in the rhizosphere are distinct from those observed in soils. It was also possible to observe a differential selection performed by plants of different varieties. Some bacterial groups exhibited lower frequencies in the rhizosphere (Acidobacteria ), while others proved to be highly stimulated by the presence of roots, in a response common to all varieties (Betaproteobacteria , Nitrospora , and Chloroflexi ), or in variety-specific responses (Bacilli and Sphingobacteria ).

A plethora of microbial cells is present in every gram of soil, and microbes are found extensively in plant and animal tissues. The mechanisms governed by microorganisms in the regulation of physiological processes of their hosts have been extensively studied in the light of recent findings on microbiomes. In plants, the components of these microbiomes may form distinct communities, such as those inhabiting the plant rhizosphere, the endosphere and the phyllosphere. In each of these niches, the "microbial tissue" is established by, and responds to, specific selective pressures. Although there is no clear picture of the overall role of the plant microbiome, there is substantial evidence that these communities are involved in disease control, enhance nutrient acquisition, and affect stress tolerance. In this review, we first summarize features of microbial communities that compose the plant microbiome and further present a series of studies describing the underpinning factors that shape the phylogenetic and functional plant-associated communities. We advocate the idea that understanding the mechanisms by which plants select and interact with their microbiomes may have a direct effect on plant development and health, and further lead to the establishment of novel microbiome-driven strategies, that can cope with the development of a more sustainable agriculture.

O objetivo deste trabalho foi estudar a distribuição espacial de Calacarus heveae Feres (Acari: Eriophyidae) na cultura da seringueira, tendo como base um monitoramento realizado com lupa de bolso. A área experimental, localizada em Marinópolis, São Paulo, com 1.000 plantas do clone RRIM 600, foi dividida em 100 parcelas de 10 plantas cada uma. Foram realizadas 16 coletas no período de dezembro de 2007 a junho de 2008. Nas coletas foram amostradas duas plantas por parcela, retirando-se de cada uma extremidade de ramo com 30 cm de comprimento. No laboratório, os ácaros foram avaliados com o uso de lupa de bolso de 20X de aumento, em seis folíolos por parcela, sendo três de cada ramo. A contagem dos ácaros foi realizada em duas áreas de 1 cm² na página superior dos folíolos, uma de cada lado da nervura principal. Os índices de dispersão estudados foram: razão variância/média (I), índice de Morisita (Id), coeficiente de Green (Cx) e expoente k da distribuição binomial negativa. C. heveae apresenta distribuição agregada em área de cultivo de seringueira. A distribuição espacial do ácaro ajusta-se ao modelo de distribuição binomial negativa.

The objective of this work was to study the spatial distribution of Calacarus heveae Feres (Acari: Eriophyidae) on rubber tree crop based on a monitoring realized with a pocket magnifying glass. The experimental area, localized in Marinópolis, São Paulo, with 1,000 plants of the RRIM 600 clone, was divided into 100 plots of ten plants each. Sixteen samplings were performed from December 2007 to June 2008. Two plants per plot were sampled, and a 30-cm stem was removed from each plant. Mites were evaluated in laboratory using a 20X power pocket magnifying glass in six leaflets per plot, three of each branch. The counting of the mites was carried out in two 1 cm² areas on the upper side of leaflets, one on each side of the main vein. The dispersion indexes used were the following: variance/mean relationship (I), index of Morisita (Iä), coefficient of Green (Cx) and k exponent of negative binomial distribution. C. heveae showed aggregate distribution in the area of rubber tree crop. Spatial distribution of the mite is fitted to negative binomial distribution.

The objective of this work was to study the spatial distribution of Tenuipalpus heveae Baker in rubber tree plantations. The experimental area was located in Marinópolis, State of São Paulo, and corresponded to a total of 1,000 plants (clone RRIM 600) divided in 100 plots of ten plants each. A total of 16 samplings were conducted, approximately once every 10 days, between December 2007 and June 2008. On each date, samples were taken from two plants per plot, each sample corresponding to the top 30 cm of a branch randomly taken from the median region of the canopy of each plant. The number of T. heveae was evaluated on three leaflets randomly taken from each sample, using a 20x power pocket magnifying glass. The number of mites was evaluated in two areas of 1 cm² delimited on the lower surface of each leaflet, being one along the midrib and the other along a lateral vein. The calculated dispersion indexes were: variance/mean relationship (I), index of Morisita (I´), coefficient of Green (Cx) and k exponent of negative binomial distribution. Tenuipalpus heveae showed aggregate distribution. The negative binomial distribution model was the most appropriate to represent the spatial distribution of the mite in the rubber tree plantation.