| Systems-biology approaches, which are driven by genome sequencing and high-throughput functional genomics data, are revolutionizing single-cell-organism biology. With the advent of various high-throughput techniques that aim to characterize complete microbial ecosystems (metagenomics, meta-transcriptomics and meta-metabolomics), we propose that the time is ripe to consider molecular systems biology at the ecosystem level (eco-systems biology). Here, we discuss the necessary data types that are required to unite molecular microbiology and ecology to develop an understanding of community function and discuss the potential shortcomings of these approaches.Over the past decade, the advent of robotics has enabled a paradigm shift in molecular biology: a change of emphasis from reductionistic approaches and 'singleprotein' studies to global investigations of increasingly more complex systems of molecules and their interrelationships. These 'systems approaches' are used to investigate processes as a whole and enable models to be built to predict the behaviour of a system in response to various external cues, disturbances or modifications of its composition [1]. After ground-breaking work on the properties of small networks that consisted of a few genes, the wiring of complete cells and microbial organisms is now being investigated and modelled [2,3]. However, as free-living organisms constantly interact with each other and the environment, systems biologists are already looking towards the next big challengeunravelling the complexity of complete ecosystems.A microbial ecosystem can be defined as a system that consists of all the microorganisms that live in a certain area or niche and that function together in the context of the other biotic (plants and animals) and abiotic (temperature, chemical composition and structure of the surroundings) factors of that niche. Communities range from being simple (for example, one-or two-speciesdominated bioreactors and biofilms that are growing on ore-mine effluents or medical implants) to complex (for example, symbiotic human gut flora, plant rhizospheres, soil communities and ocean dwelling or even airborne microorganisms, such as those present in clouds). The complexity of the interactions in ecosystems depends on the number of species and the population structure, variation in food and energy supply and the geography of the habitat [4]. Eco-systems biology seeks to understand, as a whole, the immensely complex set of molecular processes and interactions that contribute to ecosystem functioning -the total sum of ecosystem-level processes, such as matter, nutrient and energy cycling [5]. This understanding should ultimately lead to predictive modelling of ecosystems, allowing the in silico investigation of ecosystem properties. Important issues that could be addressed by an ecosystems approach include estimating the relative importance of ecosystem members in ecosystem functioning and productivity, the effect of nutrient availability on species composition or the resil...