Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic data

Research output: Contribution to journalJournal articleResearchpeer-review

Using metagenomic 'parts lists' to infer global patterns on microbial ecology remains a significant challenge. To deduce important ecological indicators such as environmental adaptation, molecular trait dispersal, diversity variation and primary production from the gene pool of an ecosystem, we integrated 25 ocean metagenomes with geographical, meteorological and geophysicochemical data. We find that climatic factors (temperature, sunlight) are the major determinants of the biomolecular repertoire of each sample and the main limiting factor on functional trait dispersal (absence of biogeographic provincialism). Molecular functional richness and diversity show a distinct latitudinal gradient peaking at 20° N and correlate with primary production. The latter can also be predicted from the molecular functional composition of an environmental sample. Together, our results show that the functional community composition derived from metagenomes is an important quantitative readout for molecular trait-based biogeography and ecology.
Original languageEnglish
JournalMolecular Systems Biology
Pages (from-to)473
Publication statusPublished - 2011

    Research areas

  • Adaptation, Physiological, Algorithms, Biodiversity, Climate, Data Interpretation, Statistical, Ecology, Ecosystem, Genetic Loci, Geography, Metabolic Networks and Pathways, Metagenomics, Molecular Sequence Annotation, Oceans and Seas, Regression Analysis, Seawater, Species Specificity

ID: 40291032