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We used shotgun sequencing of microbial community DNA and targeted sequencing of bacterial 16S ribosomal RNA genes to gain an understanding of how microbial communities adapt to extremes of diet.
We demonstrate that microbial communities adapt to switchgrass decomposition using simulated composting condition and that full-length genes can be identified from complex metagenomic sequence data, synthesized and expressed resulting in active enzyme.
Microbial communities adapt to environmental conditions for optimizing metabolic flux.
Second, microbial communities adapt to the properties of their substrate.
It has been well recognized that indigenous microbial communities adapt to such changes through succession of their community structures.
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Although microarray technology has been successfully applied to study gene expression for pure cultures, simple, and artificial microbial communities, adapting such a technology to analyze complex microbial communities still presents a lot of challenges in terms of design, sample preparation, and data analysis.
By contrast, in the Mediterranean, the persistence of warm temperatures down to bathypelagic waters would allow the persistence of mesopelagic microbial communities adapted to aphotic regions but unable to cope with near-zero temperatures where more psychrophilic organisms dominate.
Hence, the clams and their microbial communities adapted successfully to a low-energy regime and may represent widespread chemosynthetic communities in the Japan Trench.
The diverse microbial community adapts to a wide array of dietary feedstuffs and management strategies.
This has also been shown in a metagenomic study which revealed that microbial community adapts to QAC when continuously exposed.
Comparative metagenomics is useful for identification of differences in the ability of microbial communities to adapt to changing environmental conditions.
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