2016
DOI: 10.1016/j.gene.2016.08.032
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PhyloCore: A phylogenetic approach to identifying core taxa in microbial communities

Abstract: Background Identifying core microbiota is an important step for understanding the key components of microbial communities. Traditional approach that identifies core taxa at the OTU level ignores potential ecological coherence of higher rank taxa. There is a need to develop software that can systematically identify core taxa at and above the species level. Results Here we developed PhyloCore, an application that uses a phylogeny-based algorithm to identify core taxa at the proper taxonomic levels. It incorpor… Show more

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Cited by 13 publications
(14 citation statements)
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“…Although it is beyond the scope of the present study, the proposed approach would benefit from further research aiming to establish which clustering method better preserves the phylogenetic relationships among sequences 31 , as well as the similarity limit below which OTUs loose biological or technical congruency. On the other hand, OTUs could be substituted by nodes in a phylogenetic tree 32 . Such approach should produce an enhanced phylogenetic resolution of the core groups, with the likely downside of escalating computing requirements and/or having to resort to the use of reference phylogenetic trees, with the (possible) concomitant loss of information.…”
Section: Discussionmentioning
confidence: 99%
“…Although it is beyond the scope of the present study, the proposed approach would benefit from further research aiming to establish which clustering method better preserves the phylogenetic relationships among sequences 31 , as well as the similarity limit below which OTUs loose biological or technical congruency. On the other hand, OTUs could be substituted by nodes in a phylogenetic tree 32 . Such approach should produce an enhanced phylogenetic resolution of the core groups, with the likely downside of escalating computing requirements and/or having to resort to the use of reference phylogenetic trees, with the (possible) concomitant loss of information.…”
Section: Discussionmentioning
confidence: 99%
“…The amplicon sequence variants (ASVs) were aligned with MAFFT [ 67 ] (via q2-alignment) and used to construct a phylogeny with FastTree 2 [ 68 ] (via q2-phylogeny). Taxonomy was assigned to ASVs using a classify-sklearn naïve Bayes taxonomic classifier [ 69 ] based on SILVA database (release 132) [ 70 ], only the target sequences fragment was used in the classifier (i.e., classifier trained with the primers) [ 71 , 72 ]. The ubiquitousness of the bacterial families was addressed in each data set by identifying the taxa that persisted across serial fractions of the samples, performed with the QIIME 2 plugin feature-table (core-features) [ 65 ].…”
Section: Methodsmentioning
confidence: 99%
“…The phylogenetic core microbiota was screened out using PhyloCore, which uses a phylogeny-based algorithm to identify core taxa at OTU level (Ren and Wu 2016 ). For each internal node, PhyloCore calculated a prevalence value, defined as the cumulative presence of all its descendant OTUs.…”
Section: Methodsmentioning
confidence: 99%