Exploring bacterial diversity in Arctic fjord sediments: a 16S rRNA–based metabarcoding portrait

• Published in: Brazilian journal of microbiology 2024-03, Vol.55 (1), p.499-513
• Main Authors: Kachiprath, Bhavya, Solomon, Solly, Gopi, Jayanath, Jayachandran, P. R., Thajudeen, Jabir, Sarasan, Manomi, Mohan, Anjali S., Puthumana, Jayesh, Chaithanya, E. R., Philip, Rosamma
• Format: Article
• Language: English
• Subjects: Bacteria; Biomedical and Life Sciences; Comparative analysis; Cyanobacteria; DNA barcoding; Environmental Microbiology - Research Paper; Extreme environments; Fjords; Food Microbiology; Glaciers; Ice sheets; Lakes; Life Sciences; Medical Microbiology; Metadata; Microbial activity; Microbial Ecology; Microbial Genetics and Genomics; Microbiology; Microbiomes; Microorganisms; Mycology; Next-generation sequencing; Polar environments; rRNA 16S; Sediments
• ISSN: 1517-8382; 1678-4405; 1678-4405
• DOI: 10.1007/s42770-023-01217-6

The frosty polar environment houses diverse habitats mostly driven by psychrophilic and psychrotolerant microbes. Along with traditional cultivation methods, next-generation sequencing technologies have become common for exploring microbial communities from various extreme environments. Investigations on glaciers, ice sheets, ponds, lakes, etc. have revealed the existence of numerous microorganisms while details of microbial communities in the Arctic fjords remain incomplete. The current study focuses on understanding the bacterial diversity in two Arctic fjord sediments employing the 16S rRNA gene metabarcoding and its comparison with previous studies from various Arctic habitats. The study revealed that Proteobacteria was the dominant phylum from both the fjord samples followed by Bacteroidetes, Planctomycetes, Firmicutes, Actinobacteria, Cyanobacteria, Chloroflexi and Chlamydiae. A significant proportion of unclassified reads derived from bacteria was also detected. Psychrobacter , Pseudomonas , Acinetobacter , Aeromonas , Photobacterium , Flavobacterium , Gramella and Shewanella were the major genera in both the fjord sediments. The above findings were confirmed by the comparative analysis of fjord metadata with the previously reported (secondary metadata) Arctic samples. This study demonstrated the potential of 16S rRNA gene metabarcoding in resolving bacterial composition and diversity thereby providing new in situ insights into Arctic fjord systems.