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Microbial Ecology

, Volume 69, Issue 4, pp 855–866 | Cite as

Amazonian Dark Earth and Plant Species from the Amazon Region Contribute to Shape Rhizosphere Bacterial Communities

  • Amanda Barbosa Lima
  • Fabiana Souza Cannavan
  • Acacio Aparecido Navarrete
  • Wenceslau Geraldes Teixeira
  • Eiko Eurya Kuramae
  • Siu Mui Tsai
Soil Microbiology

Abstract

Amazonian Dark Earths (ADE) or Terra Preta de Índio formed in the past by pre-Columbian populations are highly sustained fertile soils supported by microbial communities that differ from those extant in adjacent soils. These soils are found in the Amazon region and are considered as a model soil when compared to the surrounding and background soils. The aim of this study was to assess the effects of ADE and its surrounding soil on the rhizosphere bacterial communities of two leguminous plant species that frequently occur in the Amazon region in forest sites (Mimosa debilis) and open areas (Senna alata). Bacterial community structure was evaluated using terminal restriction fragment length polymorphism (T-RFLP) and bacterial community composition by V4 16S rRNA gene region pyrosequencing. T-RFLP analysis showed effect of soil types and plant species on rhizosphere bacterial community structure. Differential abundance of bacterial phyla, such as Acidobacteria, Actinobacteria, Verrucomicrobia, and Firmicutes, revealed that soil type contributes to shape the bacterial communities. Furthermore, bacterial phyla such as Firmicutes and Nitrospira were mostly influenced by plant species. Plant roots influenced several soil chemical properties, especially when plants were grown in ADE. These results showed that differences observed in rhizosphere bacterial community structure and composition can be influenced by plant species and soil fertility due to variation in soil attributes.

Keywords

Bacterial Community Soil Organic Carbon Rhizosphere Soil Control Soil Bacteroidetes 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank A.C.G. Souza, A.K. Silveira, M. Rüter, R.S. Macedo, and T.T. Souza for assistance with the fieldwork. We also thank Dr. L.A.G. de Souza (INPA) for providing seeds and helpful discussion. Thanks to M.G. Dumont for careful proofreading and comments. The authors acknowledge the financial support of CNPq—Conselho Nacional de Desenvolvimento Científico e Tecnológico and FAPESP—Fundação de Amparo à Pesquisa do Estado de São Paulo (2011/50914-3; 2011/51749-6). This research was supported by Embrapa Amazônia Ocidental and by FAPEAM—Fundação de Amparo à Pesquisa do Estado do Amazonas doctoral scholarship to the first author. Thanks are also given to the anonymous reviewers for their constructive comments. Publication 5619 Netherlands Institute of Ecology (NIOO-KNAW).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Amanda Barbosa Lima
    • 1
    • 4
  • Fabiana Souza Cannavan
    • 1
  • Acacio Aparecido Navarrete
    • 1
  • Wenceslau Geraldes Teixeira
    • 2
  • Eiko Eurya Kuramae
    • 3
  • Siu Mui Tsai
    • 1
  1. 1.Laboratory of Cellular and Molecular Biology, Center for Nuclear Energy in AgricultureUniversity of São PauloPiracicabaBrazil
  2. 2.Brazilian Agricultural Research Corporation-EMBRAPA SoilsRio de JaneiroBrazil
  3. 3.Department of Microbial EcologyNetherlands Institute of Ecology (NIOO-KNAW)WageningenThe Netherlands
  4. 4.Max Planck Institute for Terrestrial MicrobiologyMarburgGermany

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