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Ghyselinck, J., Pfeiffer, S., Heylen, K., Sessitsch, A. & De Vos, P. The effect of primer choice and short read sequences on the outcome of 16S rRNA gene based diversity studies.
To address this question and to obtain information about the potential energy source(s) that might drive the chemoautotrophic metabolism of the epibiotic community, we analyzed four R. exoculata individuals from the Snake Pit hydrothermal field by combining a 16S rRNA gene based diversity assessment with a survey of metabolic genes involved in carbon, sulfur, and hydrogen metabolism.
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The main taxonomic assignments are in agreement with predominant phyla determined in the 16S rRNA gene based studies of bacterial diversity of other rumen microbial communities [ 15].
K is the minimum percentage of kmers expected to be recovered for a gene, based on the empirical level of diversity observed in the training set.
Two lists of dominant microbial genera were generated: a) top 20, the most abundant genera (based on 16S rRNA gene-based diversity surveys); and b) genomic information-rich genera (based on taxonomic affiliations of contigs) in SHP, according to relative abundance analyses.
In parallel to the analysis of RBFs, we inspected the diversity of RP-coding genes based on the sequences assigned in A. thaliana.
To investigate genomic diversity, we aim to identify groups of ortholog genes, based on a pair-wise all-against-all comparison of identified protein sequences.
We then classify gained genes based on both putative function and potential source to elucidate the functional diversity and the taxonomic breadth of donor species of gained genes.
Microbial community structure in SHP was characterized by 16S rRNA gene-based diversity surveys.
Microbial diversity and community structures in acidic hot springs have been characterized by 16S rRNA gene-based diversity surveys.
In addition to several potential metabolic interactions, 16S rRNA gene-based diversity and CRISPR arrays also revealed microbe-microbe interactions.
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