Integration of multi-omics data to elucidate keystone unknown taxa within microbialite-forming ecosystems.
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ABSTRACT: Microbes continually shape Earth's biochemical and physical landscapes by inhabiting diverse metabolic niches. Despite the important role microbes play in ecosystem functioning, most microbial species remain unknown highlighting a gap in our understanding of structured complex ecosystems. To elucidate the relevance of these unknown taxa, often referred to as "microbial dark matter," the integration of multiple high throughput sequencing technologies was used to evaluate the co-occurrence and connectivity of all microbes within the community. Since there are no standard methodologies for multi-omics integration of microbiome data, we evaluated the abundance of "microbial dark matter" in microbialite-forming communities using different types meta-omic datasets: amplicon, metagenomic, and met
SUBMITTER: Amorin de Hegedus R
PROVIDER: S-EPMC10416242 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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