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The biofilms consist of microcolonies formed by multiple microbial species embedded in an extracellular matrix.
Biofilms can be composed of a population that developed from a single species or a community derived from multiple microbial species (14, 17 ).
Statistical probability that TRFLP peaks could be shared between different samples by random chance, when multiple microbial species share the same TRFLP peak size.
These findings thus shed light onto the highly complex mechanism of plant biomass decomposition through cooperative interactions between multiple microbial species and their enzymes in different environments.
This approach does not fully address the reality of the CAFO environment, where animals harbor multiple microbial species that are exposed to multiple antibiotics over the course of their lives.
Moreover, synthetic microbial consortia can consist of either multiple microbial species [ 3- 5] or single species that contain differently engineered lines of the same species (for example, Lactobacillus plantarum) [ 6].
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Within mutualistic associations, the expression and regulation of conflict is likely more complex than in intraspecific cooperative relationship, because of the potential presence of: i) multiple genotypes of microbial species associated with individual hosts, ii) multiple species of symbiotic lineages forming cooperative partner pairings, and iii) additional symbiont lineages.
Microbial biofilms are communities formed when single cell microorganisms become firmly adhered to a solid surface covered by an extracellular polysaccharide matrix, and can be formed from multiple or single microbial species [ 2].
However, that work relied on an indirect coupling approach that was effective for initial demonstration but may not be extensible to more complex problems that are of significant interest (e.g., communities of microbial species and multiple constraining variables).
In addition, PCR-DGGE analysis was used to further investigate the dominant microbial species of multiple individuals.
For metagenome analyses involving assembly (to generate longer genome fragments with multiple genes), habitats with few microbial species or an uneven population with few dominating species are more promising targets than habitats with many species of even abundance.
More suggestions(15)
multiple microbiologic species
multiple microbial targets
multiple microbial pathogens
multiple microbial sources
multiple glycosphingolipid species
multiple microbial agents
multiple microbial exposures
multiple microbial factors
multiple microbial samples
multiple microbial determinants
multiple microbial biomarkers
multiple microbial contaminants
multiple divergent species
multiple microbial genomes
multiple microbial products
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