2013
DOI: 10.1038/ismej.2013.142
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Integrating metagenomic and amplicon databases to resolve the phylogenetic and ecological diversity of the Chlamydiae

Abstract: In the era of metagenomics and amplicon sequencing, comprehensive analyses of available sequence data remain a challenge. Here we describe an approach exploiting metagenomic and amplicon data sets from public databases to elucidate phylogenetic diversity of defined microbial taxa. We investigated the phylum Chlamydiae whose known members are obligate intracellular bacteria that represent important pathogens of humans and animals, as well as symbionts of protists. Despite their medical relevance, our knowledge … Show more

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Cited by 87 publications
(120 citation statements)
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“…Although this analysis cannot be used to quantitatively assess the abundance of PVC microbes in the different habitats, the observed ecological patterns are consistent with those of known members of the superphylum. For example, the relatively low number of metagenomic SPs branching with known members of the Chlamydiae phylum is consistent with the generally low abundance of chlamydial protein sequences detected in metagenomes in a recent study (47). An explanation for this could be the low abundance of members of the phylum Chlamydiae (which are typically associated with eukaryotic hosts) in environmental samples, which would result in a low coverage of chlamydial genomes in metagenomic data sets.…”
Section: Resultssupporting
confidence: 81%
“…Although this analysis cannot be used to quantitatively assess the abundance of PVC microbes in the different habitats, the observed ecological patterns are consistent with those of known members of the superphylum. For example, the relatively low number of metagenomic SPs branching with known members of the Chlamydiae phylum is consistent with the generally low abundance of chlamydial protein sequences detected in metagenomes in a recent study (47). An explanation for this could be the low abundance of members of the phylum Chlamydiae (which are typically associated with eukaryotic hosts) in environmental samples, which would result in a low coverage of chlamydial genomes in metagenomic data sets.…”
Section: Resultssupporting
confidence: 81%
“…To evaluate the prevalence and abundance of miBC members in gut microbiota, other host-derived ecosystems and environmental samples, we used an integrated metagenomic platform developed in-house and used in previous work (www.imngs.org) 16,57. All 16S rRNA gene amplicon studies available in the SRA 58 were extracted and organized in samplespecific databases.…”
Section: Methodsmentioning
confidence: 99%
“…Three evolutionary clusters appear to exist: (i) the Chlamydiaceae/Clavichlamydiaceae cluster, which harbors the smallest genomes and seems to have branched the earliest, (ii) the Parachlamydiaceae/ Waddliaceae/Criblamydiaceae cluster and (iii) the Simkaniaceae/Rhabdochlamydiaceae cluster (Lagkouvardos et al, 2014). Indeed, Simkaniaceae share an 86-87% homology in the 16S rRNA encoding gene sequence with Rhabdochlamydiaceae (Kostanjsek et al, 2004) and only 82% homology with Chlamydiaceae (Kahane et al, 1995).…”
Section: Simkania Negevensis: Genome and Evolutionmentioning
confidence: 99%