Dynamic Patterns of Marine Pathogenic Bacteria in North and South Pacific Oceans

Abstract

Marine microorganism communities are very dynamic and changeable with environmental parameters. The understanding of marine bacteria diversity and community would improve insight of further environmental changes, ecosystem level, even infer the unclear microbes control factors. Recently new sequencing technic that pyrosequencing has developed and made it possible to study taxonomic diversity with 16s rRNA gene. In this study, we investigated bacteria community at Chuuk island in South Pacific Ocean and at Jeju island in North Pacific Ocean with 16s rRNA gene pyrosequencing. And going one step forward, marine pathogenic bacteria list were deducted in each places. The seawater samples were collected in March and September 2013, and environmental parameters including temperature, salinity, chlorophyll-a were measured at the same time. In our result, bacteria diversity was more than 1000 Operational Taxonomic Units (OTUs) and Jeju in September took the highest diversity index score. Proteobacteria was most common phyla at the both sites and seasons. On the other hands, pathogenic bacteria was detected about 5 times in September of Jeju compare the March, and Vibrio sp. was most numerous marine pathogenic bacteria in all samples. Moreover, the marine pathogenic bacteria from all samples showed some patterns with temperature, salinity and chlorophyll-a. According to canonical component analysis (CCA) data suggested that C the unclear microbes control factors. Recently new sequencing technic that pyrosequencing has developed and made it possible to study taxonomic diversity with 16s rRNA gene. In this study, we investigated bacteria community at Chuuk island in South Pacific Ocean and at Jeju island in North Pacific Ocean with 16s rRNA gene pyrosequencing. And going one step forward, marine pathogenic bacteria list were deducted in each places. The seawater samples were collected in March and September 2013, and environmental parameters including temperature, salinity, chlorophyll-a were measured at the same time. In our result, bacteria diversity was more than 1000 Operational Taxonomic Units (OTUs) and Jeju in September took the highest diversity index score. Proteobacteria was most common phyla at the both sites and seasons. On the other hands, pathogenic bacteria was detected about 5 times in September of Jeju compare the March, and Vibrio sp. was most numerous marine pathogenic bacteria in all samples. Moreover, the marine pathogenic bacteria from all samples showed some patterns with temperature, salinity and chlorophyll-a. According to canonical component analysis (CCA) data suggested that that Chuuk marine pathogenic bacteria samples distinctly affected by salinity and temperature but Jeju samples more influenced chlorophyll-a than Chuuk samples.