Integrating ‘omic’ datasets to understand ocean systems

Tom Bibby (Southampton), Claire Mahaffey (Liverpool), Julie Robidart (NOC) 

Over the past decade, the collection of ‘omic’ datasets (genomes, transcriptomes, proteomes and more recently, metabolomes) and their bioinformatic analysis have been used as powerful tools to interrogate microbial processes in ocean systems.  These approaches have revolutionized our understanding of the diversity, biogeography, evolution and function of marine microbial communities.  Further, high resolution in situ sampling systems are widening the range and significance of questions that ‘omic’ technologies can be used to address.

This session will explore the new insights gained from linking ‘omics’ data with other disciplines that are moving ‘oceanomics’ from a descriptive to a quantitative ‘systems' level science. We invite submissions from scientists integrating ‘omics’ data into models and/or alongside traditional disciplines to address questions on the current and future function of marine microbes in biogeochemical cycles.