scholarly journals Priming effect and microbial diversity in ecosystem functioning and response to global change: a modeling approach using the SYMPHONY model

2014 ◽  
Vol 20 (4) ◽  
pp. 1174-1190 ◽  
Author(s):  
Nazia Perveen ◽  
Sébastien Barot ◽  
Gaël Alvarez ◽  
Katja Klumpp ◽  
Raphael Martin ◽  
...  
mBio ◽  
2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Jizhong Zhou ◽  
Wenzong Liu ◽  
Ye Deng ◽  
Yi-Huei Jiang ◽  
Kai Xue ◽  
...  

ABSTRACTThe processes and mechanisms of community assembly and its relationships to community functioning are central issues in ecology. Both deterministic and stochastic factors play important roles in shaping community composition and structure, but the connection between community assembly and ecosystem functioning remains elusive, especially in microbial communities. Here, we used microbial electrolysis cell reactors as a model system to examine the roles of stochastic assembly in determining microbial community structure and functions. Under identical environmental conditions with the same source community, ecological drift (i.e., initial stochastic colonization) and subsequent biotic interactions created dramatically different communities with little overlap among 14 identical reactors, indicating that stochastic assembly played dominant roles in determining microbial community structure. Neutral community modeling analysis revealed that deterministic factors also played significant roles in shaping microbial community structure in these reactors. Most importantly, the newly formed communities differed substantially in community functions (e.g., H2production), which showed strong linkages to community structure. This study is the first to demonstrate that stochastic assembly plays a dominant role in determining not only community structure but also ecosystem functions. Elucidating the links among community assembly, biodiversity, and ecosystem functioning is critical to understanding ecosystem functioning, biodiversity preservation, and ecosystem management.IMPORTANCEMicroorganisms are the most diverse group of life known on earth. Although it is well documented that microbial natural biodiversity is extremely high, it is not clear why such high diversity is generated and maintained. Numerous studies have established the roles of niche-based deterministic factors (e.g., pH, temperature, and salt) in shaping microbial biodiversity, the importance of stochastic processes in generating microbial biodiversity is rarely appreciated. Moreover, while microorganisms mediate many ecosystem processes, the relationship between microbial diversity and ecosystem functioning remains largely elusive. Using a well-controlled laboratory system, this study provides empirical support for the dominant role of stochastic assembly in creating variations of microbial diversity and the first explicit evidence for the critical role of community assembly in influencing ecosystem functioning. The results presented in this study represent important contributions to the understanding of the mechanisms, especially stochastic processes, involved in shaping microbial biodiversity.


2016 ◽  
Vol 23 (2) ◽  
pp. 503-511 ◽  
Author(s):  
Pedro Flombaum ◽  
Laura Yahdjian ◽  
Osvaldo E. Sala

2017 ◽  
Vol 12 (2) ◽  
pp. 451-462 ◽  
Author(s):  
Kanto Razanamalala ◽  
Tantely Razafimbelo ◽  
Pierre-Alain Maron ◽  
Lionel Ranjard ◽  
Nicolas Chemidlin ◽  
...  

2016 ◽  
Vol 104 (4) ◽  
pp. 936-946 ◽  
Author(s):  
Manuel Delgado-Baquerizo ◽  
Luca Giaramida ◽  
Peter B. Reich ◽  
Amit N. Khachane ◽  
Kelly Hamonts ◽  
...  

2008 ◽  
Vol 57 (2) ◽  
pp. 265-270 ◽  
Author(s):  
I. Ramirez ◽  
J. P. Steyer

The aim of this study is to develop a modeling approach able to handle microbial diversity both in normal and abnormal situations. Normal situations are defined as changing input characteristics that do not imply process imbalance while abnormal situations are illustrated by the presence of toxicant into the reactor. In both cases, modeling is performed by adding a stochastic term on top of a well defined and well structured model such as the IWA Anaerobic Digestion Model No1. Experimental data from a 1 m3 pilot scale anaerobic digester treating wine distillery wastewater are provided to demonstrate the applicability of this approach. Discussion also highlights that monitoring of digesters might receive a renewed consideration in the near future in order to handle explicitly microbial diversity within the control objectives.


Sign in / Sign up

Export Citation Format

Share Document