Summary of Abstract Submission

Abstract Submission No. IO50-09-0006PresentationOral

CITIZEN OCEANOGRAPHY AND PREDICTIVE MODELING OF ENVIRONMENTAL HEALTH IN THE INDIAN OCEAN.

Federico Lauro*1, Martin Ostrowski2, Ian Paulsen2, Thomas Jeffries3, Caroline Chenard1, Rachelle Jensen**4

1 Nanyang Technological University , Singapore
2 Macquarie University, Australia
3 University of Western Sydney, Australia
4 Indigo V Expeditions, Singapore

ABSTRACT :

As the world population grows, our demands on the ocean will only increase. A healthy ocean ecosystem depends on vibrant communities of microbes, known collectively as the marine microbiome. . Large scale mesoscale modeling of the marine microbiome requires the collection of high-density data, both temporally and spatially in a cost-effective way. We have established a ┐citizen oceanography┐ platform that will broaden significantly our knowledge base of the Oceans by equipping thousands of private ocean-going vessels that are cruising around the world┐s oceans every day. With the collection of large metagenomic and metatranscriptomic datasets, we will be able to create advanced models predicting what are the conditions affecting, primary productivity. These factors can potentially generate ecosystem unbalances with outcomes such as the development of harmful algal blooms or fisheries collapse. We will present results from our work in the Indian Ocean, including insights into the mechanisms of top-down (grazing and predation) and bottom-up (resource availability) factors affecting the structure and function of microbial communities in many diverse marine habitats. For example, biogeographically unique samples from within the Chagos Archipelago showed an increase in the expression of genes related to photosynthesis and nutrient cycling associated with the bottom-up control of bacterial populations, but five-fold increase in the expression of viral proteins within a coral lagoon, indicated a concomitant top-down control of bacterial dynamics by bacteriophages.