This study was aimed to obtain an overview on prokaryotic diversity, community structure and function of hydrothermal spring system in TVG of northern Taiwan thorough comprehensive approaches from traditional PCR to next generation sequencing technique and bioinformatic analysis.
Structural and functional analyses of prokaryotic community in selected hot spring in SHP revealed bacteria-dominated characteristics. Members of bacterial phyla Aquificae, Proteobacteria and Firmicutes, archaeal phylum Crenarchaeota were main players in this hot spring system, comprising more than 60% of the community. Different methodologies for estimating relative abundance of taxa provided different results, but dominant taxa was less affected than taxa with lower abundance.
In DSS sample, prokaryotes of genus Hydrogenobaculum were the most abundant bacteria found in the chosen hot spring in SHP. However, reads derived from sequencing were still not sufficient enough (around 30% of gaps after reference genome mapping) to recover a complete genome. GC content bias of Illumina NGS platform was detected in analysis of Hb-like sequences.
Gene function distribution deduced by protein COG categorizing suggested a high proportion of metabolism-related function of this hot spring community. Further investigations on critical metabolic pathways and gene expressions are vital for a more thorough and concrete insight to the terrestrial hydrothermal spring systems.
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