Longitudinal metagenome and metratranscriptome surveys on complex microbial communities

Date & time

12pm 25 May 2017


Slatyer Seminar Room, DA Brown Bldg (47), Daley Rd, ANU


Rohan Williams, Singapore Centre for Environmental Life Sciences Engineering, National University of Singapore


 Marcin Adamski

Understanding the composition and function of complex microbial communities remains a key goal of applied microbial ecology, as well as providing many opportunities for developing new thinking and methods in systems microbiology.

The systematic analysis of such communities remains immensely complex, with particular challenges relating the lack of relevant reference genomes, the difficulty of recovering the genomes of member taxa from bulk community assemblies and the complexity of understanding whole community function.

I will outline recent studies we have performed using nucleic acid sequencing (DNA and/or RNA) using time-series designs in complex, unmodified microbial communities (sampled from full-scale wastewater plants), to study the organisation, diversity and plasticity of whole microbial community function, and describe some of the analysis methods and software tools that we have developed to undertake these investigations.

Rohan Williams is Head of the Integrative Analysis Unit at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE), an autonomous research centre in microbial ecology and biofilm biology co-hosted by the National University of Singapore and Nanyang Technological University. Williams holds a BAppSc in Physics from UTS (1994) and a PhD in Medicine from UNSW (2003), from 2004-2007 he was an NHMRC Peter Doherty Fellow at UNSW and between 2007-2011 he was a group leader at the John Curtin School of Medical Research at the ANU. He moved to Singapore in 2011 to take up his current appointment at SCELSE. His interests and expertise lie in statistical bioinformatics, design, analysis and interpretation of experiments using genomic technologies, systems microbiology and the analysis of complex microbial communities.

A TIC (Techniques In Computational Genomics) Seminar

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