Microbes play essential roles in human, animal and plant health. Knowing the composition and diversity of a microbial community is the first step in understanding microbe-microbe and microbe-host interactions, revealing key players in health and disease and discovering major modulators. Next-generation sequencing in microbiome research has accelerated data generation and changed our perception of the complexity and structure of microbial communities. However, microbiome data sets are typically high-dimensional, adding further complexity to data analysis and processing.
In our white paper, “Characterizing the Microbiome through Targeted Sequencing of Bacterial 16S rRNA and Fungal ITS Regions,” we demonstrate the power of the CLC Microbial Genomics Module for investigating complex microbial communities.
We used the original data of Purahong et al.’s work from the April 2016 edition of Molecular Ecology “Life in the leaf litter: novel insights into community dynamics of bacteria and fungi during litter decomposition,” to analyse amplicon sequencing data for profiling microbial communities via clustering reads into operational taxonomic units. Purahong’s study explored the dynamic interplay of bacteria and fungi during leaf degradation over a one-year period in response to fluctuations in nutrient availability.
We demonstrate how the usage of our pre-configured CLC workflows can ease analysis on-boarding, reduce hands-on time, and ensure consistency and reproducibility in microbiome analyses.
Purahong W, et al. (2016). Life in the leaf litter: novel insights into community dynamics of bacteria and fungi during litter decomposition. Molecular Ecology 25, 4059.
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