Microbial Ecology

, Volume 67, Issue 2, pp 430–442 | Cite as

Trophic Structure of Amoeba Communities Near Roots of Medicago sativa After Contamination with Fuel Oil No. 6

  • Sandra Cortés-Pérez
  • Salvador Rodríguez-Zaragoza
  • Ma. Remedios Mendoza-López
Soil Microbiology


Root exudation increases microbial activity, selecting bacterial and fungal communities that metabolize organic matter such as hydrocarbons. However, a strong contamination pulse of hydrocarbons around plant roots may reorganize the soil's microbial trophic structure toward amoebae feeding on bacteria. We conducted a microcosm experiment to elucidate the effect of Medicago sativa on the trophic structure of naked amoebae after a strong pulse of pollution (50,000 ppm of fuel oil no. 6, which is a mixture of long chains ranging from C10 to C28). Plants were seeded 24 h after contamination and species of amoebae in the microcosms were identified at 1, 30, and 60 days after pollution. Several species from three trophic groups of naked amoeba were still alive 24 h after the hydrocarbon pulse. Non-planted microcosms harbored three trophic groups after 60 days, while planted ones nourished four groups. The bacterivore group was the most diverse in all microcosms, followed by protist-eaters and omnivores. The quantity of amoebae was significantly higher (3.4×103 organisms/g soil) in the planted pots than in the non-planted ones (1.3×103 organisms/g soil after 30 days of pollution (P ≤ 0.01). The shortest hydrocarbon chains (C10–C14) disappeared or diminished in all microcosms, and the longest ones increased in the planted ones. M. sativa thus exerted a positive effect on species richness, quantity, and the composition of amoebae trophic groups in contaminated soil. This indirect effect on bacterial predators is another key factor underlying hydrocarbon assimilation by living organisms during phytoremediation.


Species Richness Soil Extract Trophic Group Much Probable Number Organic Matter Transformation 
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.



Subnargem grant 2009–10 BM-ex. Sandra Cortés Perez acknowledges the support of Posgrado en Ciencias Biológicas, UNAM, CONACyT for their support in obtaining her doctoral degree and Dr. Ronald Ferrera-Cerrato.


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© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Sandra Cortés-Pérez
    • 1
  • Salvador Rodríguez-Zaragoza
    • 1
  • Ma. Remedios Mendoza-López
    • 2
  1. 1.Laboratorio de MicrobiologíaUBIPRO, Fes-Iztacala UNAMMéxicoMexico
  2. 2.Unidad de Servicios de Apoyo en Resolución Analítica (SARA)Universidad VeracruzanaXalapaMexico

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