Bacterial community analysis of Rangori spring of Uttarakhand, India by 16S-rRNA Gene sequencing

Abstract

The focus of this research is to conduct a large-scale metagenomic investigation of a notable spring in Uttarakhand i.e., Rangori spring in the ecologically unique region of Ramnagar in order to identify the resident microbial population. The sample was collected from Ramnagar, Nainital district of Uttarakhand the identification. The goal of this study is to look at the bacterial diversity in spring water. The MiSeq high-throughput sequencing was used to analyze and compare the bacterial diversity and community composition of samples from spring water samples. Overall, 519 optimized reads were obtained from the samples based on high-throughput sequencing of the V4 region of the 16S rRNA gene. Bacterial species detected in these samples covered 46 phyla, 53 orders, 121 families, 422 genera and 521 species. According to the analysis it was found that the samples included a plethora of bacterial variety. The dominating bacteria's distribution features revealed patterns of a high number of unusual species and a few common types. Taxonomic assignment analysis indicated that Proteobacteria, Bacteriodes, OD1, Cyanobacteria Planctomycetes, Actinobacteria, Acidobacteria, Chloroflexi, Chlamydiae and Verrucomicrobiadominated in the water and accounted for 93.36% at phylum level. The predominant groups were Heliscomenobacter, Lacibactor, Lysobacter, Novosphingobium, Planctomyces, Reyranella, Rheinheimera, Rhodobacter, Sediminibacterium, Sphingobiumat genus level. At species level vibrioides, somerae, colicanis, prausnitzii, rhizosphaerae, cauensis, brunescens, australicum ,massiliensis, yanoikuyaewere the abundant taxa, while vey small community of Archaea were presented: Methanocullaus, Cenarchaeu, Candidatus Nitrososphera This research deepens the understanding on microbial community in spring water and provide references for the association of bacterial composition and diversity along with their significance.

Investigating the modulatory effects of Moringa oleifera on the gut microbiota of chicken model through metagenomic approach

“…Sequencing data were generated using Illumina MiSeq. The quality of the data was evaluated using FastQC ( 46 ) and MultiQC ( 47 , 48 ) tools. The quality of the data was assessed based on the distribution of base call quality, with percentage of bases over Q20, Q30, % GC, and sequencing adapter contamination ( 44 ).…”