Data integration in microbial genomics ... - Jacobs University
Data integration in microbial genomics ... - Jacobs University
Data integration in microbial genomics ... - Jacobs University
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CHAPTER 6<br />
DOMAINS OF UNKNOWN<br />
FUNCTION<br />
Ecological perspectives on doma<strong>in</strong>s of unknown<br />
function: a mar<strong>in</strong>e po<strong>in</strong>t of view<br />
Authors: Pier Luigi Buttigieg, Wolfgang Hankeln, Melissa Beth Duhaime,<br />
Ivaylo Kostad<strong>in</strong>ov, Renzo Kottmann, Pel<strong>in</strong> Yilmaz, Frank Oliver Glöckner<br />
Submitted to: ISME Journal, January 2011<br />
Personal Contribution: Helped to analyse the data after HMM<br />
calculations by generat<strong>in</strong>g network graphs together with Pier Luigi<br />
Buttigieg.<br />
Relevance: Generat<strong>in</strong>g hypothesis about the possible functions of<br />
prote<strong>in</strong> doma<strong>in</strong>s <strong>in</strong> silico, based on their co-occurrence patterns and<br />
environmental gradients.<br />
6.1 Abstract<br />
Metagenomic datasets from environmental samples offer attractive opportunities<br />
to characterize genomic elements of unknown function. We<br />
employed graph-theoretic approaches to visualize correlations between<br />
prote<strong>in</strong> doma<strong>in</strong>s of unknown function detected <strong>in</strong> the Global Ocean<br />
Sampl<strong>in</strong>g metagenomes. Functional hypotheses for groups of these doma<strong>in</strong>s<br />
were generated based on network topology and exist<strong>in</strong>g putative<br />
functional assignments. Environmental contextualization of one such<br />
hypothesis was carried out us<strong>in</strong>g <strong>in</strong>direct gradient analysis.