Unknown

Dataset Information

0

OTUX: V-region specific OTU database for improved 16S rRNA OTU picking and efficient cross-study taxonomic comparison of microbiomes.


ABSTRACT: Many microbiome studies employ reference-based operational taxonomic unit (OTU)-picking methods, which in general, rely on databases cataloguing reference OTUs identified through clustering full-length 16S rRNA genes. Given that the rate of accumulation of mutations are not uniform throughout the length of a 16S rRNA gene across different taxonomic clades, results of OTU identification or taxonomic classification obtained using 'short-read' sequence queries (as generated by next-generation sequencing platforms) can be inconsistent and of suboptimal accuracy. De novo OTU clustering results too can significantly vary depending upon the hypervariable region (V-region) targeted for sequencing. As a consequence, comparison of microbiomes profiled in different scientific studies becomes difficult and often poses a challenge in analysing new findings in context of prior knowledge. The OTUX approach of reference-based OTU-picking proposes to overcome these limitations by using 'customized' OTU reference databases, which can cater to different sets of short-read sequences corresponding to different 16S V-regions. The results obtained with OTUX-approach (which are in terms of OTUX-OTU identifiers) can also be 'mapped back' or represented in terms of other OTU database identifiers/taxonomy, e.g. Greengenes, thus allowing for easy cross-study comparisons. Validation with simulated datasets indicates more efficient, accurate, and consistent taxonomic classifications obtained using OTUX-approach, as compared with conventional methods.

SUBMITTER: Yadav D 

PROVIDER: S-EPMC6476724 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

OTUX: V-region specific OTU database for improved 16S rRNA OTU picking and efficient cross-study taxonomic comparison of microbiomes.

Yadav Deepak D   Dutta Anirban A   Mande Sharmila S SS  

DNA research : an international journal for rapid publication of reports on genes and genomes 20190401 2


Many microbiome studies employ reference-based operational taxonomic unit (OTU)-picking methods, which in general, rely on databases cataloguing reference OTUs identified through clustering full-length 16S rRNA genes. Given that the rate of accumulation of mutations are not uniform throughout the length of a 16S rRNA gene across different taxonomic clades, results of OTU identification or taxonomic classification obtained using 'short-read' sequence queries (as generated by next-generation seque  ...[more]

Similar Datasets

| S-EPMC4593230 | biostudies-literature
| S-EPMC3599145 | biostudies-literature
| S-EPMC6407505 | biostudies-literature
| S-EPMC7688474 | biostudies-literature
| S-EPMC5841375 | biostudies-literature
| S-EPMC3042185 | biostudies-literature
| S-EPMC8326369 | biostudies-literature
| S-EPMC6375304 | biostudies-literature
| S-EPMC6020470 | biostudies-literature
| S-EPMC8275237 | biostudies-literature