Comparison of iSeq and MiSeq as the two platforms for 16S rRNA sequencing in the study of the gut of rat microbiome

Amplicon-based next-generation sequencing (NGS) of the 16S ribosomal RNA (16S) regions is a culture-free method used to identify and analyze Procaryota occurring within a given sample. The prokaryotic 16S rRNA gene contains conserved regions and nine variable regions (V1-V9) frequently used for phylogenetic classification of genus or species in diverse microbial populations. This work compares the accuracy and efficacy of two platforms, iSeq and MiSeq from Illumina, used in sequencing 16S rRNA. The most important similarities and differences of 16S microbiome sequencing in 20 fecal rat samples were described. Genetic libraries were prepared according to 16S Metagenomic Sequencing Library Preparation (Illumina) for the V3 and V4 regions of the 16S. The species richness obtained using iSeq technology was lower compared to MiSeq. At the second taxonomy level (L2), the abundance of taxa was comparable for both platforms. At the L7, the taxa abundance was significantly different, and the number of taxa was higher for the MiSeq. The alpha diversity was lower for iSeq than for MiSeq, starting from the order to the species level. The beta diversity estimation revealed statistically significant differences in microbiota diversity starting from the class level to the species level in samples sequenced on two investigated platforms. This work disclosed that the iSeq platform could be used to evaluate the bacterial profile of the samples to characterize the overall profile. The MiSeq System seems to be better for a detailed analysis of the differences in the microbiota composition.

Automated summary

This study compared the accuracy and efficacy of two Illumina platforms (iSeq and MiSeq) in sequencing 16S rRNA and described some important similarities and differences in 20 fecal samples. The results showed that iSeq technology had lower species richness compared to MiSeq, and MiSeq had a higher number of taxa. Additionally, MiSeq performed better in the detailed analysis of microbiota composition.