Program Element 2: Community Dynamics and Microbial Ecology

Fundamental research in ecological processes and interactions of biotic and abiotic components of ecosystems to understand their influence on the degradation, persistence, and toxicity of mixed contaminants.

PROGRAM OBJECTIVE


To further the understanding of the structure and function of the microbial and plant community and interactions of components in natural and amended soil and subsurface habitats containing mixed contaminants and to elucidate their role in bioremediation.

BACKGROUND



Fundamental research is needed in community dynamics and microbial ecology at both the molecular and the organismal level to better understand bioremediation processes.


Fundamental research in community dynamics and microbial and plant ecology at both the molecular and the organismal level is needed to better understand the natural intrinsic processes of bioremediation in mixed contaminant sites. The taxonomic scope of soil ecology includes viruses, prokaryotes, eukaryotic microorganisms (such as fungi, protozoa, and microalgae), and metazoans including nematodes, earthworms, and other microinvertebrates and their interactions with plant roots. Carbon and electron flow through biological communities facilitates degradation and transformation of organic and inorganic wastes. Our understanding of these reactions must transcend taxonomic characterization and single-species study from microorganisms through lower invertebrate communities populating subsurface systems. A more complete understanding of energetics and biogeochemical transformation at the community level may ultimately provide the ability to control or stimulate communities capable of transformation and to channel carbon flow (particularly of polluting organic compounds) through these communities or populations. It is essential to understand the roles and interactions of diverse communities in order to understand how and to what extent the structure of the biological community influences the course of bioremediation and to what extent the environmental factors influence community dynamics in sites containing mixed contaminants. As this issue is addressed, then the Acceleration program element can determine how to best augment and sustain the microbial activity involved in remediation.


Traditional methods for identifying microorganisms and assessing their activity in soil have limited applicability for bioremediation.


Genetic and phenotypic information is needed to better assess community members. Traditional methods for identifying microorganisms and assessing their activity in soil, such as plating and most probable number (MPN) techniques, have limited applicability for bioremediation (Metting, 1992). DNA and RNA molecular probes, polymerase chain reaction (PCR) amplification of DNA, and genomic sequencing of ribosomal RNA are being used to identify microorganisms or populations. In addition, fluorescence stains and antibodies, microautoradiography, enzyme-linked immunosorbent assay (ELISA), and microscopy are employed to monitor changes in population types and numbers. Although these techniques can identify a larger number of phenotypes present in a soil sample than direct plating, they do not account for biodiversity with respect to function of the organisms under environmental stress, competition, or seasonal changes. Both radioactive and stable isotope technologies are being applied to measuring soil community respiration activity along with methods to measure enzymatic activity. Specific patterns of phospholipid ester-linked fatty acids (PLFA) and formation of polyhydroxy butyrate (PHB) can indicate physiological stress within the microbial community (Tunlid and White, 1992). However, we are still far from understanding or having the tools and methods to provide cost-effective, real-time evaluation of metabolic activities and physiology associated with bioremediation or to examine in detail changes in soil populations over time to assess bioremediation activity. Even the modeling used to predict microbial activity has been developed more for bioreactors that function as closed (batch) and open (continuous) systems than for applications in soils (Lynch and Hobbie, 1988).

APPROACH


In open systems, such as those found at mixed-contaminant sites or in continuous-flow bioreactors, organisms selectively take in substances, usually in solution, process these substances, and return products to the surrounding environment. Often the focus on bioremediation has been from an engineering point of view, i.e., to determine the mass balance (CISB, 1993). However, in nature this continuous process of "substrates in" and "end products out" is dynamic, and members of the community are continuously changing in numbers and types. Current approaches to bioremediation focus on mass balance, providing quantitative descriptions of initial and final concentrations as well as intermediates in selected cases. This gives rise to the "black box" perception of bioremediation (Miller and Poindexter, 1994). Basic research into community dynamics will provide a more complete understanding of the path of carbon and electron flow through degrading and transforming populations. This information will identify and quantify the signals and switches at the molecular, cellular, and community level that lead to successional changes required to induce and control bioremediation processes. The approach of this program element is to build upon the previous laboratory studies on bioremedial capabilities of organisms and transfer this knowledge to study communities in field research centers where mixed contaminants exist in a variety of types and concentrations. In the field research center it can be determined whether organisms capable of bioremediation are widely dispersed, concentrated where the contaminant levels are not toxic and diluted, or present where the contaminants are concentrated. Information is also needed to assess what organisms can degrade the contaminants irrespective of their ability to be isolated or counted (Miller and Poindexter, 1994). Other factors that may influence community bioremedial activities also need to be elucidated at both the molecular and the organismal level, such as rates and mechanisms of molecular evolution of expressed bioremedial genes and environmental factors influencing bioavailability and rates of biotransformation and biodegradation and the partitioning of contaminants within the geologic medium.


Understanding the complex relationships and interactions of all the organisms involved will improve prediction, assessment, and optimization of bioremedial processes.


Research in the Community Dynamics and Microbial Ecology program element will be integrated with research in several other elements. With respect to Biomolecular Science and Engineering, Community Dynamics will identify important prokaryote and eukaryote bioremedial populations present within one or more damaged sites that may have greater potential for bioremedial activity and genes for cloning or biological molecules for overexpression. Similarly, for the Biotransformation and Biodegradation element, Community Dynamics will provide organisms to examine for poorly understood or novel enzymatic pathways. In collaboration with the Assessment element, Community Dynamics will provide the basic data that need to be monitored and assessed for soil community bioremedial activity of the consortia as a whole in situ and ex situ and for the maintenance of the community in relation to structure and function of the consortia. Finally, for the System Integration, Prediction, and Optimization element, Community Dynamics will provide information on bioremedially active members of the community to design and calibrate the models.

Community Dynamics and Microbial Ecology will use molecular and macro approaches to identify the individual species of the community and detect variations within the species and differences in species composition at different sites. It will characterize the consortia which may, through molecular evolution, become a robust community that utilizes and/or detoxifies mixed contaminants. It will also explore interrelationships between organisms in the community, evaluate the community as a whole system in remediating the individual components of the mixed contaminants in the presence of geologic and hydrogeologic factors, and correlate the presence of metabolic genes with effective bioremedial processes. By understanding the complex multi-organismal relationships of each of the populations involved and their interactions, the overall goal to improve bioremedial activity in the field research center should be achieved. Community Dynamics and Microbial Ecology will focus on four subelements to meet the overall goals described above. These subelements are:

1. Community identification using molecular and biochemical techniques.

2. Molecular evolution and gene transfer within the community.

3. Community structure and function relationships.

4. Influence of environmental factors.

Subelement 2.1: Community Identification Using Molecular and Biochemical Techniques.

Fundamental research in using molecular and biochemical techniques to identify members of the community existing in sites containing mixed contaminants.

Objectives


Use molecular biology tools and biochemical techniques to characterize pristine and damaged-site biological communities and to establish with high reliability the spatial and temporal diversity of populations that make up natural communities of microbiota.

Goals


Three-Year

Develop strategies to identify important transient and permanent bioremedial members of the community and monitor their natural changes or shifts with respect to the impact of various contaminants on the community structure, and compare to similar unpolluted sites by use of molecular biology, genomic sequencing, and biochemical analysis of metabolites.

Five-Year

Characterize populations to identify isolates that are resistant to or are utilizers of toxic components.

Identify and verify presence and activity of specific genes responsible for biodegradation and biotransformation activity on mixed contaminants and integrate information with Biomolecular Science and Engineering and Biotransformation and Biodegradation program elements.

Based on information obtained from molecular biology and biochemistry techniques, develop new isolation procedures that will enable the non-culturables to be cultured for kinetics studies on biochemical capabilities as defined in the program element Biotransformation and Biodegradation.

Determine the fate of introduced organisms that have demonstrated superior bioremedial activity and compare their numbers and types to those of competitive intrinsic populations.

Ten-Year

Compare populations throughout a ten-year period for changes due to environmental parameters including concentrations of contaminants that may either optimize or enhance the bioremedial activity of the community as a whole.

Subelement 2.2: Molecular Evolution and Gene Transfer within the Community

Fundamental research in identifying how genes are transferred in mixed-waste contaminated habitats to understand how the community evolves to utilize the organic contaminants as substrates and/or tolerate high concentrations of toxic compounds.

Objectives


To genetically and molecularly evaluate how the microbial community as a whole deals with contaminants by using the experimental field research center to examine consortia that have through molecular evolution become a robust community that utilizes and/or detoxifies mixed-waste contaminants.

Goals


Three-Year

Determine whether the frequency of genetic transfer of various elements such as phage and plasmids present in prokaryotic and eukaryotic members of the community at sites containing mixed contaminants is greater or lesser due to environmental stress than at clean sites of similar geological characteristics.

Identify the regulatory elements of genes responsible for bioremedial activity of various populations within the community.

Within sites containing mixed contaminants, begin to identify signaling mechanisms of plant-microorganism communication such as the chemical signal in root exudates to induce microbial metabolic response and determine whether this relationship could favor bioremedial activity between the two groups of organisms.

Five-Year

Use a consortium isolated from one or more sites containing mixed contaminants as a nursery and inoculate other similar mixed-contaminant sites to see how information is transferred and/or used for bioremedial activities.

Understand how different members of the community, including rhizosphere populations, work together in the presence of mixed contaminants to handle the individual components, and link this information to the Biotransformation and Biodegradation program element.

Identify key species and metabolic dynamics, including stress recognition and response, and interactions that are critical to the remediation capabilities of the communities.

Determine the minimal amount of redundancy of similar, identical, or different genes of degradative enzymatic pathways needed within the community for bioremedial activity of mixed contaminants.

Determine whether microbial bioremedial genes and species boundaries are maintained in a highly contaminated mixed-waste site.

Determine how genes and plasmids are being transferred (horizontal gene transfer, transduction, conjugation, or transformation), selected (cryptic or spontaneous mutations), or rearranged to produce naturally occurring variants in the field research center and/or generate novel genotypes, and determine whether this transfer is retained in the autochthonous population even when the original organism (natural or genetically engineered) can no longer be detected.

Ten-Year

Begin to determine the long-term effect of molecular evolution on the stability of community bioremediation of mixed wastes.

Evaluate the consortium under different environmental conditions such as diverse geologic and hydrologic conditions and geochemical matrices, different concentrations of mixed contaminants, and temporal as well as spatial variations.

Identify and utilize the robust populations for applications in bioremediation.

Subelement 2.3: Community Structure and Function Relationships

Fundamental research in examining principles and dogmas of ecology that may influence the overall ability of the community to remediate mixed contaminants.

Objectives


To examine and understand ecological theories with respect to bioremedial structure and function activities of the community within one or more soil and subsurface samples containing mixed contaminants.

Goals


Three-Year

Determine range of changes in the community structure and function of populations in response to different environmental parameters, including different morphological types exhibited in the presence of mixed contaminants.

Examine the role of and tendency toward biofilm formation by community members and its influence on bioremedial activity.

Examine and compare community structure and function of biodegradation and biotransformation activities found in contaminated sites containing mixed wastes to other, similar samples collected from more than one site and correlate this data with the Biodegradation and Biotransformation and Biogeochemical Dynamics program elements.

In collaboration with the Biotransformation and Biodegradation program element, examine the rate and degree of utilization of the mixed contaminants as substrates supporting microbial growth to that of co-metabolism where the substrate is only partially metabolized and does not support growth.

Five-Year

Determine the ecological significance of biological behavior in mixed-contaminant sites in terms of cell replication, nutrition, and response; e.g., bacterial chemotaxis and chemotropism in eukaryotic microorganisms, phototaxis and phototropism, orientation to gravity and magnetism, responses to contact, pressure, heat, and other factors.

Examine the effects of bioremediation activity on microbial developmental processes; e.g., differentiation; secondary metabolism; sporulation of bacteria, actinomycetes, and fungi; heterocyst formation of cyanobacteria; cell starvation; and survival of non-sporulating eubacteria and archaebacteria.

Apply the understanding of successional cues to induce and control biodegradation activity in field research center experiments.

Ten-Year

Determine the direct or indirect effects bioremediation activity has on interactions with other cells, such as parasitism, predation, amensalism, mutualism, and commensalism.

Apply tested and validated ecological principles to further enhance bioremedial activities of communities present in sites containing mixed contaminants.

Subelement 2.4: Influence of Environmental Factors

Fundamental research on the response of microbial and rhizosphere communities to in situ physical and chemical factors that affect the survival, growth, and active bioremediation of contaminant mixtures.

Objectives


To understand the relative importance and interactive influences of in situ physicochemical parameters such as pH, Eh, ionic strength, temperature, water activity, and other factors on properties of microbial populations and communities responsible for biodegradation and biotransformation activity in soil material containing mixed contaminants.

Goals


Three-Year

Identify and evaluate key physicochemical parameters that influence microbial community structure and function in environments containing mixed contaminants.

Five-Year

Understand and demonstrate those physicochemical parameters that support or interfere with biodegradation and biotransformation under controlled conditions in situ and ex situ.

Develop a knowledge base sufficient for the design and implementation of laboratory and field experiments to understand how physicochemical processes, in the presence of mixed contaminants, interact at the soil community level, including plants, under hydrological flow regimes and in natural heterogeneous environments.

Ten-Year

Understand the interactions and relative importance of key physical and chemical variables that influence or control microbial community dynamics and how these can be manipulated to optimize biodegradation and biotransformation activities of the community.

Return to Contents

Previous Section

Next Section