toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author (up) Rodriguez-Valdecantos, G.; Manzano, M.; Sanchez, R.; Urbina, F.; Hengst, M.B.; Lardies, M.A.; Ruz, G.A.; Gonzalez, B. pdf  doi
  Title Early successional patterns of bacterial communities in soil microcosms reveal changes in bacterial community composition and network architecture, depending on the successional condition Type
  Year 2017 Publication Applied Soil Ecology Abbreviated Journal Appl. Soil Ecol.  
  Volume 120 Issue Pages 44-54  
  Keywords 2,4-D Herbicide; Bacterial successional dynamics; Cycloheximide; Environmental perturbations; Soil colonization; Soil microcosms  
  Abstract Soil ecosystem dynamics are influenced by the composition of bacterial communities and environmental conditions. A common approach to study bacterial successional dynamics is to survey the trajectories and patterns that follow bacterial community assemblages; however early successional stages have received little attention. To elucidate how soil type and chemical amendments influence both the trajectories that follow early compositional changes and the architecture of the community bacterial networks in soil bacterial succession, a time series experiment of soil microcosm experiments was performed. Soil bacterial communities were initially perturbed by dilution and subsequently subjected to three amendments: application of the pesticide 2,4-dichlorophenoxyacetic acid, as a pesticide-amended succession; application of cycloheximide, an inhibitor affecting primarily eukaryotic microorganisms, as a eukaryotic-inhibition bacterial succession; or application of sterile water as a non-perturbed control. Terminal restriction fragment length polymorphism (T-RFLP) analysis of the 16S rRNA gene isolated from soil microcosms was used to generate bacterial relative abundance datasets. Bray-Curtis similarity and beta diversity partition-based methods were applied to identify the trajectories that follow changes in bacterial community composition. Results demonstrated that bacterial communities exposed to these three conditions rapidly differentiated from the starting point (less than 12 h), followed different compositional change trajectories depending on the treatment, and quickly converged to a state similar to the initial community (48-72 h). Network inference analysis was applied using a generalized Lotka-Volterra model to provide an overview of bacterial OTU interactions and to follow the changes in bacterial community networks. This analysis revealed that antagonistic interactions increased when eukaryotes were inhibited, whereas cooperative interactions increased under pesticide influence. Moreover, central OTUs from soil bacterial community networks were also persistent OTUs, thus confirming the existence of a core bacterial community and that these same OTUs could plastically interact according to the perturbation type to quickly stabilize bacterial communities undergoing succession.  
  Address [Rodriguez-Valdecantos, Gustavo; Sanchez, Raimundo; Urbina, Felipe; Antonio Lardies, Marco; Ruz, Gonzalo A.; Gonzalez, Bernardo] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Santiago 7941169, Chile, Email:  
  Corporate Author Thesis  
  Publisher Elsevier Science Bv Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0929-1393 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000411866600006 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 797  
Permanent link to this record
Select All    Deselect All
 |   | 

Save Citations:
Export Records: