A primary aim of microbial ecology is to determine patterns and drivers of community distribution, interaction, and assembly amidst complexity and uncertainty. Microbial community composition has been shown to change across gradients of environment, geographic distance, salinity, temperature, oxygen, nutrients, pH, day length, and biotic factors 1-6 . These patterns have been identified mostly by focusing on one sample type and region at a time, with insights extra polated across environments and geography to produce generalized principles. To assess how microbes are distributed across environments globally-or whether microbial community dynamics follow funda mental ecological 'laws' at a planetary scale-requires either a massive monolithic cross environment survey or a practical methodology for coordinating many independent surveys. New studies of microbial environments are rapidly accumulating; however, our ability to extract meaningful information from across datasets is outstripped by the rate of data generation. Previous meta analyses have suggested robust gen eral trends in community composition, including the importance of salinity 1 and animal association 2 . These findings, although derived from relatively small and uncontrolled sample sets, support the util ity of meta analysis to reveal basic patterns of microbial diversity and suggest that a scalable and accessible analytical framework is needed.The Earth Microbiome Project (EMP, http://www.earthmicrobiome. org) was founded in 2010 to sample the Earth's microbial communities at an unprecedented scale in order to advance our understanding of the organizing biogeographic principles that govern microbial commu nity structure 7,8 . We recognized that open and collaborative science, including scientific crowdsourcing and standardized methods 8 , would help to reduce technical variation among individual studies, which can overwhelm biological variation and make general trends difficult to detect 9 . Comprising around 100 studies, over half of which have yielded peer reviewed publications (Supplementary Table 1), the EMP has now dwarfed by 100 fold the sampling and sequencing depth of earlier meta analysis efforts 1,2 ; concurrently, powerful analysis tools have been developed, opening a new and larger window into the distri bution of microbial diversity on Earth. In establishing a scalable frame work to catalogue microbiota globally, we provide both a resource for the exploration of myriad questions and a starting point for the guided acquisition of new data to answer them. As an example of using this Our growing awareness of the microbial world's importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of r...

Sponges (phylum Porifera) are early-diverging metazoa renowned for establishing complex microbial symbioses. Here we present a global Porifera microbiome survey, set out to establish the ecological and evolutionary drivers of these host–microbe interactions. We show that sponges are a reservoir of exceptional microbial diversity and major contributors to the total microbial diversity of the world's oceans. Little commonality in species composition or structure is evident across the phylum, although symbiont communities are characterized by specialists and generalists rather than opportunists. Core sponge microbiomes are stable and characterized by generalist symbionts exhibiting amensal and/or commensal interactions. Symbionts that are phylogenetically unique to sponges do not disproportionally contribute to the core microbiome, and host phylogeny impacts complexity rather than composition of the symbiont community. Our findings support a model of independent assembly and evolution in symbiont communities across the entire host phylum, with convergent forces resulting in analogous community organization and interactions.

Many marine bacteria have evolved to grow optimally at either high (copiotrophic) or low (oligotrophic) nutrient concentrations, enabling different species to colonize distinct trophic habitats in the oceans. Here, we compare the genome sequences of two bacteria, Photobacterium angustum S14 and Sphingopyxis alaskensis RB2256, that serve as useful model organisms for copiotrophic and oligotrophic modes of life and specifically relate the genomic features to trophic strategy for these organisms and define their molecular mechanisms of adaptation. We developed a model for predicting trophic lifestyle from genome sequence data and tested >400,000 proteins representing >500 million nucleotides of sequence data from 126 genome sequences with metagenome data of whole environmental samples. When applied to available oceanic metagenome data (e.g., the Global Ocean Survey data) the model demonstrated that oligotrophs, and not the more readily isolatable copiotrophs, dominate the ocean's free-living microbial populations. Using our model, it is now possible to define the types of bacteria that specific ocean niches are capable of sustaining.microbial adaptation and ecology ͉ microbial genomics and metagenomics ͉ monitoring environmental health ͉ trophic adaptation T he marine environment is the largest habitat on Earth, accounting for Ͼ90% of the biosphere by volume and harboring microorganisms responsible for Ϸ50% of total global primary production. Within this environment, marine bacteria (and archaea) play a pivotal role in biogeochemical cycles while constantly assimilating, storing, transforming, exporting, and remineralizing the largest pool of organic carbon on the planet (1).Nutrient levels in pelagic waters are not uniform. Large expanses of water are relatively nutrient depleted (e.g., oligotrophic open ocean water), whereas other zones are relatively nutrient rich (e.g., copiotrophic coastal and estuarine waters). Local variations in nutrient content can occur because of physical processes, including upwelling of nutrient rich deep waters or aeolian and riverine deposition, or biological processes such as phytoplankton blooms or aggregation of particulate organic matter. In addition, heterogeneity in ocean waters is not limited to gross differences in nutrient concentrations, but extends to microscale patchiness that occurs throughout the continuum of ocean nutrient concentrations (2).In ecological terms, bacteria are generally defined as rstrategists, having a small body, short generation time, and highly dispersible offspring. Although this strategy is broadly true compared with macroorganisms, bacteria have evolved a wide range of growth and survival strategies to maximize reproductive success. In particular, nutrient type and availability have provided strong selective pressure for defining lifestyle strategies among marine bacteria. However, although a large number of copiotrophic marine organisms (and fewer oligotrophs) have been cultured, the study of trophic strategy has been impaired by a lack of unders...

The principles underlying the assembly and structure of complex microbial communities are an issue of long-standing concern to the field of microbial ecology. We previously analyzed the community membership of bacterial communities associated with the green macroalga Ulva australis, and proposed a competitive lottery model for colonization of the algal surface in an attempt to explain the surprising lack of similarity in species composition across different algal samples. Here we extend the previous study by investigating the link between community structure and function in these communities, using metagenomic sequence analysis. Despite the high phylogenetic variability in microbial species composition on different U. australis (only 15% similarity between samples), similarity in functional composition was high (70%), and a core of functional genes present across all algal-associated communities was identified that were consistent with the ecology of surface-and hostassociated bacteria. These functions were distributed widely across a variety of taxa or phylogenetic groups. This observation of similarity in habitat (niche) use with respect to functional genes, but not species, together with the relative ease with which bacteria share genetic material, suggests that the key level at which to address the assembly and structure of bacterial communities may not be "species" (by means of rRNA taxonomy), but rather the more functional level of genes.lateral gene transfer | biofilm | ecological model M etagenomic analysis of environmental microbial communities has revealed an enormous and previously unknown microbial diversity, and expanded our knowledge of their function in a variety of environments (1-5). Much still remains unknown, however, such as the principles underlying the assembly and structure of complex microbial communities, an issue of long-standing concern to the field of microbial ecology. To this aim, several recent studies have supported the "neutral hypothesis" (6-8), a largely stochastic model for community assembly, which assumes that species are ecologically equivalent and that community structure is determined by random processes (9, 10). However, there is also evidence that niche or deterministic processes play a role in community structure (11, 12); thus, both niche and neutral processes are likely to affect the assembly of complex microbial communities.Support for these models is based on species abundance distributions, and critical functional aspects, such as the assumption of ecological equivalence, have for the most part not been tested. In this study, we examine the encoded functions of an algalassociated bacterial community and link patterns of function to patterns of community assembly. Following the results of an earlier study (13), we investigate these communities in the context of the lottery hypothesis, a model for community "assembly" derived from studies of eukaryotic communities, such as coral reef fish (14). This hypothesis incorporates both neutral and functional aspects and arg...

Metagenomics applies a suite of genomic technologies and bioinformatics tools to directly access the genetic content of entire communities of organisms. The field of metagenomics has been responsible for substantial advances in microbial ecology, evolution, and diversity over the past 5 to 10 years, and many research laboratories are actively engaged in it now. With the growing numbers of activities also comes a plethora of methodological knowledge and expertise that should guide future developments in the field. This review summarizes the current opinions in metagenomics, and provides practical guidance and advice on sample processing, sequencing technology, assembly, binning, annotation, experimental design, statistical analysis, data storage, and data sharing. As more metagenomic datasets are generated, the availability of standardized procedures and shared data storage and analysis becomes increasingly important to ensure that output of individual projects can be assessed and compared.