Comparative gut Microbiome Evaluation of two Distinct Organisms: A Critical Review

Background: The investigation of microbial community composition has been significantly influenced by technological innovations in the next-generation sequencing-based techniques. These techniques depend on ۱۶S rRNA; in particular, have been frequently used to analyse the whole collection of bacteria present in a specific environment. As a response, a plethora of specific bioinformatic pipelines has been constructed for handling this data. Methods and Analysis: Meta Genome Rapid Annotation Using Subsystem Technology (MG-RAST) and Quantitative Insights into Microbial Ecology (QIIME) are two publicly accessible metagenomic analysis tools utilized in several investigations. Here, we present a comparative study of the human vs. chimpanzee dataset using QIIME and MG-RAST to assess their accuracy in taxonomy and diversity analysis.Discussion: Here, the taxonomic assignment was more accurate using QIIME, which assigned a considerably greater number of reads at the family level. As a consequence, QIIME produced a more accurate sequence file, which enhanced the diversity analysis outcome. Finally, while installing QIIME requires informatics expertise, it provides a wide range of metrics that are relevant for downstream applications and, more importantly, it is not dependent on server delays.

Keywords:

MG-RAST , QIIME , metagenomic analysis , next-generation sequencing techniques , Taxonomy Analysis , diversity analysis