Rains, drains and active strains: towards online assessment of wastewater bacterial communities

Wastewater treatment is one of the largest scale and arguably the most commercially important biotechnological process in the world. Bacterial breakdown of waste materials facilitates the safe disposal of effluents into receiving water bodies. Given this significance, research has focused on identifying the keystone species on which efficient treatment is based. However, unravelling the microbial diversity within such systems has proven difficult. This is highlighted by our lack of detailed knowledge of the microbial interactions within these complex populations, limiting our ability to fully exploit bacterial degradative abilities. Even with the incorporation of new emerging molecular techniques, there have been no investigations linking genetic sequence to microbial function and successful treatment operation. To reach this goal, researchers need the ability to identify, enumerate and monitor the metabolic functions of subpopulations within these complex bacterial communities. Flow cytometry (FCM) combined with fluorescence-based molecular identification techniques provides a method for such studies. Moreover, single-cell sorting provides a unique opportunity to identify and remove individual cells of interest. Laboratory culture of sorted cells is often possible and permits the use of more traditional microbiological techniques to backup molecular investigations. Utilising this approach will advance our understanding of wastewater treatment processes and help maintain and enhance plant operation to improve efficiency.     

Social interaction in synthetic and natural microbial communities

Social interaction among cells is essential for multicellular complexity. But how do molecular networks within individual cells confer the ability to interact? And how do those same networks evolve from the evolutionary conflict between individual‐ and population‐level interests? Recent studies have dissected social interaction at the molecular level by analyzing both synthetic and natural microbial populations. These studies shed new light on the role of population structure for the evolution of cooperative interactions and revealed novel molecular mechanisms that stabilize cooperation among cells. New understanding of populations is changing our view of microbial processes, such as pathogenesis and antibiotic resistance, and suggests new ways to fight infection by exploiting social interaction. The study of social interaction is also challenging established paradigms in cancer evolution and immune system dynamics. Finding similar patterns in such diverse systems suggests that the same ‘social interaction motifs’ may be general to many cell populations.     

Host genetic determinants of the gut microbiota of wild mice

Identifying a common set of genes that mediate host–microbial interactions across populations and species of mammals has broad relevance for human health and animal biology. However, the genetic basis of the gut microbial composition in natural populations remains largely unknown outside of humans. Here, we used wild house mouse populations as a model system to ask three major questions: (a) Does host genetic relatedness explain interindividual variation in gut microbial composition? (b) Do population differences in the microbiota persist in a common environment? (c) What are the host genes associated with microbial richness and the relative abundance of bacterial genera? We found that host genetic distance is a strong predictor of the gut microbial composition as characterized by 16S amplicon sequencing. Using a common garden approach, we then identified differences in microbial composition between populations that persisted in a shared laboratory environment. Finally, we used exome sequencing to associate host genetic variants with microbial diversity and relative abundance of microbial taxa in wild mice. We identified 20 genes that were associated with microbial diversity or abundance including a macrophage‐derived cytokine (IL12a) that contained three nonsynonymous mutations. Surprisingly, we found a significant overrepresentation of candidate genes that were previously associated with microbial measurements in humans. The homologous genes that overlapped between wild mice and humans included genes that have been associated with traits related to host immunity and obesity in humans. Gene–bacteria associations identified in both humans and wild mice suggest some commonality to the host genetic determinants of gut microbial composition across mammals.     

Evolutionary ecology of plant-microbe interactions: soil microbial structure alters selection on plant traits

? Below-ground microbial communities influence plant diversity, plant productivity, and plant community composition. Given these strong ecological effects, are interactions with below-ground microbes also important for understanding natural selection on plant traits? ? Here, we manipulated below-ground microbial communities and the soil moisture environment on replicated populations of Brassica rapa to examine how microbial community structure influences selection on plant traits and mediates plant responses to abiotic environmental stress. ? In soils with experimentally simplified microbial communities, plants were smaller, had reduced chlorophyll content, produced fewer flowers, and were less fecund when compared with plant populations grown in association with more complex soil microbial communities. Selection on plant growth and phenological traits also was stronger when plants were grown in simplified, less diverse soil microbial communities, and these effects typically were consistent across soil moisture treatments. ? Our results suggest that microbial community structure affects patterns of natural selection on plant traits. Thus, the below-ground microbial community can influence evolutionary processes, just as recent studies have demonstrated that microbial diversity can influence plant community and ecosystem processes.     

Hydration dynamics promote bacterial coexistence on rough surfaces

Identification of mechanisms that promote and maintain the immense microbial diversity found in soil is a central challenge for contemporary microbial ecology. Quantitative tools for systematic integration of complex biophysical and trophic processes at spatial scales, relevant for individual cell interactions, are essential for making progress. We report a modeling study of competing bacterial populations cohabiting soil surfaces subjected to highly dynamic hydration conditions. The model explicitly tracks growth, motion and life histories of individual bacterial cells on surfaces spanning dynamic aqueous networks that shape heterogeneous nutrient fields. The range of hydration conditions that confer physical advantages for rapidly growing species and support competitive exclusion is surprisingly narrow. The rapid fragmentation of soil aqueous phase under most natural conditions suppresses bacterial growth and cell dispersion, thereby balancing conditions experienced by competing populations with diverse physiological traits. In addition, hydration fluctuations intensify localized interactions that promote coexistence through disproportional effects within densely populated regions during dry periods. Consequently, bacterial population dynamics is affected well beyond responses predicted from equivalent and uniform hydration conditions. New insights on hydration dynamics could be considered in future designs of soil bioremediation activities, affect longevity of dry food products, and advance basic understanding of bacterial diversity dynamics and its role in global biogeochemical cycles.     

Interactions Between Entomopathogenic Fungi and Other Natural Enemies: Implications for Biological Control

Pathogens and arthropod natural enemies may contribute to the suppression of insect pest populations either as individual species or as species complexes. However, because natural enemies of insects have evolved and function in a multitrophic context it is important to assess interactions within complexes of natural enemies if they are to be exploited effectively in pest management. Natural enemies can interact either synergistically/additively (e.g. enhanced transmission and dispersal of insect pathogens) or antagonistically (e.g. parasitism/infection, predation and competition). In this paper, studies assessing the potential interactions between insect and fungal natural enemies are reviewed. In general, these studies indicate the positive nature of the interactions between arthropod natural enemies and fungal pathogens with respect to the control of insect populations. More work is required to investigate further the many ways in which the natural enemy community interacts in the agroecosystem     

Characterising functionally important and ecologically meaningful genetic diversity using a candidate gene approach

Over the past two decades the fields of molecular ecology and population genetics have been dominated by the use of putatively neutral DNA markers, primarily to resolve spatio-temporal patterns of genetic variation to inform our understanding of population structure, gene flow and pedigree. Recent emphasis in comparative functional genomics, however, has fuelled a resurgence of interest in functionally important genetic variation that underpins phenotypic traits of adaptive or ecological significance. It may prove a major challenge to transfer genomics information from classical model species to examine functional diversity in non-model species in natural populations, but already multiple gene-targeted candidate loci with major effect on phenotype and fitness have been identified. Here we briefly describe some of the research strategies used for isolating and characterising functional genetic diversity at candidate gene-targeted loci, and illustrate the efficacy of some of these approaches using our own studies on red grouse (Lagopus lagopus scoticus). We then review how candidate gene markers have been used to: (1) quantify genetic diversity among populations to identify those depauperate in genetic diversity and requiring specific management action; (2) identify the strength and mode of selection operating on individuals within natural populations; and (3) understand direct mechanistic links between allelic variation at single genes and variance in individual fitness.     

Molecular tools in marine ecology

Molecular tools have diverse applications in marine ecology. In microbial systems, DNA sequences of rRNA and other genes have identified a variety of novel lineages of bacteria inhabiting marine environments that have resisted traditional culture methods. However, relatively few natural populations have been characterized due to the rather labor-intensive methodologies employed. Recent technological developments such as in situ PCR and flow cytometry promise to greatly enhance the speed at which microbial taxa can be identified and enumerated in field collected water and substrate samples; such advances will allow future work to employ the spatial and temporal field sampling required to monitor the impact of natural and anthropogenic changes in the environment. This approach also holds promise for examining physiological status of field collected cells, garnering information on such elusive parameters as growth rates and the extent of nutrient limitation under natural conditions. Studies of macrobiota have similarly benefited from the use of molecular approaches to species identification. This has been particularly true with regard to distinguishing among larval forms of closely related taxa which are nearly identical morphologically. Genetic variation within species assayed by molecular tools has been useful in examining the stability of populations through time and in assessing patterns of recruitment to geographically separated populations. Enhanced understanding of these ecological problems will also require intensive spatial and temporal monitoring of both larval and adult populations. Often, the newer techniques based on DNA sequence variation have practical advantages over allozyme techniques: e.g., PCR allows assay of minute quantities of DNA that may come from ethanol preserved samples. However, when ample allozyme variation exists to address a given issue, these older techniques may be favored on a variety of criteria, including speed and cost. Hence, choice of methodology should be based on the expected efficiency of a given approach to a specific problem rather than the apparent sophistication of the method itself.     

Bacterial communities of diverse Drosophila species: ecological context of a host-microbe model system

Drosophila melanogaster is emerging as an important model of non-pathogenic host-microbe interactions. The genetic and experimental tractability of Drosophila has led to significant gains in our understanding of animal-microbial symbiosis. However, the full implications of these results cannot be appreciated without the knowledge of the microbial communities associated with natural Drosophila populations. In particular, it is not clear whether laboratory cultures can serve as an accurate model of host-microbe interactions that occur in the wild, or those that have occurred over evolutionary time. To fill this gap, we characterized natural bacterial communities associated with 14 species of Drosophila and related genera collected from distant geographic locations. To represent the ecological diversity of Drosophilids, examined species included fruit-, flower-, mushroom-, and cactus-feeders. In parallel, wild host populations were compared to laboratory strains, and controlled experiments were performed to assess the importance of host species and diet in shaping bacterial microbiome composition. We find that Drosophilid flies have taxonomically restricted bacterial communities, with 85% of the natural bacterial microbiome composed of only four bacterial families. The dominant bacterial taxa are widespread and found in many different host species despite the taxonomic, ecological, and geographic diversity of their hosts. Both natural surveys and laboratory experiments indicate that host diet plays a major role in shaping the Drosophila bacterial microbiome. Despite this, the internal bacterial microbiome represents only a highly reduced subset of the external bacterial communities, suggesting that the host exercises some level of control over the bacteria that inhabit its digestive tract. Finally, we show that laboratory strains provide only a limited model of natural host-microbe interactions. Bacterial taxa used in experimental studies are rare or absent in wild Drosophila populations, while the most abundant associates of natural Drosophila populations are rare in the lab.     

A(r)Ray of hope in analysis of the function and diversity of microbial communities

The vast majority of microorganisms in the environment remain uncultured, and their existence is known only from sequences retrieved by PCR. As a consequence, our understanding of the ecological function of dominant microbial populations in the environment is limited. We will review microbial diversity studies and show that these may have moved from an extreme underestimation to a potentially severe overestimation of diversity. The latter results from a simple PCR-generated artifact: the cloning of heteroduplex molecules followed by Escherichia coli mismatch repair, which may generate an exponential increase in observed sequence diversity. However, simple modifications to current PCR amplification protocols minimize such artifactual sequences and may bring within our reach estimation of bacterial diversity in environmental samples. Such estimates may spur new culture-independent approaches based on genomic and microarray technology, allowing correlation of phylogenetic identity with the ecological function of unculturable organisms. In particular, we are developing a DNA microarray that enables identification of individual populations active in utilization of specific organic substrates. The array consists of 16S and 23S rDNA-targeted oligonucleotides and is hybridized to RNA extracted from samples incubated with (14)C-labeled organic substrates. Populations that metabolize the substrate can be identified by the radiolabel incorporated in their rRNA after only one to two cell doublings, ensuring realistic preservation of community structure. Thus, the microarray approach may provide a powerful means to link microbial community structure with in situ function of individual populations.     

Dietary phytochemicals as rumen modifiers: a review of the effects on microbial populations

In the recent years, the exploration of bioactive phytochemicals as natural feed additives has been of great interest among nutritionists and rumen microbiologists to modify the rumen fermentation favorably such as defaunation, inhibition of methanogenesis, improvement in protein metabolism, and increasing conjugated linoleic acid content in ruminant derived foods. Many phytochemicals such as saponins, essential oils, tannins and flavonoids from a wide range of plants have been identified, which have potential values for rumen manipulation and enhancing animal productivity as alternatives to chemical feed additives. However, their effectiveness in ruminant production has not been proved to be consistent and conclusive. This review discusses the effects of phytochemicals such as saponins, tannins and essential oils on the rumen microbial populations, i.e., bacteria, protozoa, fungi and archaea with highlighting molecular diversity of microbial community in the rumen. There are contrasting reports of the effects of these phytoadditives on the rumen fermentation and rumen microbes probably depending upon the interactions among the chemical structures and levels of phytochemicals used, nutrient composition of diets and microbial components in the rumen. The study of chemical structure–activity relationships is required to exploit the phytochemicals for obtaining target responses without adversely affecting beneficial microbial populations. A greater understanding of the modulatory effects of phytochemicals on the rumen microbial populations together with fermentation will allow a better management of the rumen ecosystem and a practical application of this feed additive technology in livestock production.     

Microbial diversity--insights from population genetics

Although many environmental microbial populations are large and genetically diverse, both the level of diversity and the extent to which it is ecologically relevant remain enigmatic. Because the effective (or long-term) population size, N_e, is one of the parameters that determines population genetic diversity, tests and simulations that assume selectively neutral mutations may help to identify the processes that have shaped microbial diversity. Using ecologically important genes, tests of selective neutrality suggest that adaptive as well as non-adaptive types of selection act and that departure from neutrality may be widespread or restricted to small groups of genotypes. Population genetic simulations using population sizes between 10³ and 10⁷ suggest extremely high levels of microbial diversity in environments that sustain large populations. However, census and effective population sizes may differ considerably, and because we know nothing of the evolutionary history of environmental microbial populations, we also have no idea what N_e of environmental populations is. On the one hand, this reflects our ignorance of the microbial world. On the other hand, the tests and simulations illustrate interactions between microbial diversity and microbial population genetics that should inform our thinking in microbial ecology. Because of the different views on microbial diversity across these disciplines, such interactions are crucial if we are to understand the role of genes in microbial communities.     

Imaging immune surveillance of individual natural killer cells confined in microwell arrays

New markers are constantly emerging that identify smaller and smaller subpopulations of immune cells. However, there is a growing awareness that even within very small populations, there is a marked functional heterogeneity and that measurements at the population level only gives an average estimate of the behaviour of that pool of cells. New techniques to analyze single immune cells over time are needed to overcome this limitation. For that purpose, we have designed and evaluated microwell array systems made from two materials, polydimethylsiloxane (PDMS) and silicon, for high-resolution imaging of individual natural killer (NK) cell responses. Both materials were suitable for short-term studies (<4 hours) but only silicon wells allowed long-term studies (several days). Time-lapse imaging of NK cell cytotoxicity in these microwell arrays revealed that roughly 30% of the target cells died much more rapidly than the rest upon NK cell encounter. This unexpected heterogeneity may reflect either separate mechanisms of killing or different killing efficiency by individual NK cells. Furthermore, we show that high-resolution imaging of inhibitory synapse formation, defined by clustering of MHC class I at the interface between NK and target cells, is possible in these microwells. We conclude that live cell imaging of NK-target cell interactions in multi-well microstructures are possible. The technique enables novel types of assays and allow data collection at a level of resolution not previously obtained. Furthermore, due to the large number of wells that can be simultaneously imaged, new statistical information is obtained that will lead to a better understanding of the function and regulation of the immune system at the single cell level.     

Cultivation-based and molecular approaches to characterisation of terrestrial and aquatic nitrifiers

Increased awareness of the metabolic diversity within autotrophic nitrifying bacteria has led to a re-evaluation of their role in the cycling of nitrogen in terrestrial and aquatic ecosystems. This has been accompanied by improvements in our ability to characterise natural populations of autotrophic ammonia oxidising bacteria through the application of molecular techniques. Molecular approaches indicate considerable diversity within natural populations and the association of different groups of ammonia oxidisers with different environments and changes in populations in response to environmental factors. To some extent, results from molecular approaches are consistent with those adopting laboratory enrichment and isolation strategies. Physiological studies on the latter demonstrate links between phylogenetic groups and possession of characteristics of relevance to ecological studies. Understanding of the significance of ammonia oxidiser species and functional diversity for global cycling of nitrogen require greater links between molecular analyses, physiological studies and measurements of nitrogen cycling processes. However, there is increasing evidence for physiological properties driving the environmental distribution of particular groups of ammonia oxidisers and for associations between nitrification process rates and ammonia oxidiser community structure. This revised version was published online in August 2006 with corrections to the Cover Date.     

Back to the basics: The need for ecophysiological insights to enhance our understanding of microbial behaviour in the rhizosphere

Background and Scope

Microorganisms exhibit an astonishing diversity and wide genetic variability even within species, in particular with respect to their metabolic pathways and host-interactive capabilities. The mosaic genomes that encode these capacities are accountable for the abilities of environmental microbes to survive and thrive in highly complex systems such as soil and the rhizosphere. Whereas credits are to be given to traditional microbiology studies, e.g. with rhizobia and their interaction with the plant, an explosive enhancement of our understanding of the plant-microorganism interactive system has been recently achieved by the broad application of the molecular toolbox, in particular high-throughput sequencing (HTS) technologies. The latter have allowed to access thousands to millions of microbial phylotypes and functions at relatively low cost and effort. While such techniques have improved the accessibility of the taxonomic and functional diversity of rhizosphere and soil microbial communities, detailed insights into organismal ecology and physiology (reflecting the behaviour of populations of cells) within the community in the natural environment are still required.

Conclusions

In this review, we first examine the current ‘state-of-the-art’ of rhizosphere ecology studies and what HTS strategies have added to our understanding of the system. We posit that our capacity to develop and test refined ecological hypotheses is hindered if we solely depend on deep-sequencing methods. Plant-soil-microorganism systems represent one of the most intriguing ‘playgrounds’ for assessments of ecological theories, since they offer a myriad of ways to investigate ecological interactions (i.e. intra- and inter-specifically), physiological and behavioural traits. In addition, the evolutionary processes that lead to innovation in the microbiota are likely prominent in the rhizosphere. Thus, there is a perceived need to shift our attention from the HTS studies, that extensively map the local microbiota in an overall fashion, to studies focusing on as-yet-unaddressed fundamental questions about the plant-soil microbiota system. Such a paradigm shift will certainly assist us in the unravelling of the building blocks of rhizosphere (and soil) microbial communities, as well as form a basis for targeted manipulation of these in their natural settings.     

All together now: experimental multispecies biofilm model systems

Studies of microorganisms have traditionally focused on single species populations, which have greatly facilitated our understanding of the genetics and physiology that underpin microbial growth, adaptation and biofilm development. However, given that most microorganisms exist as multispecies consortia, the field is increasingly exploring microbial communities using a range of technologies traditionally limited to populations, including meta‐omics based approaches and high resolution imaging. The experimental communities currently being explored range from relatively low diversity, for example, two to four species, to significantly more complex systems, comprised of several hundred species. Results from both defined and undefined communities have revealed a number of emergent properties, including improved stress tolerance, increased biomass production, community level signalling and metabolic cooperation. Based on results published to date, we submit that community‐based studies are timely and increasingly reveal new properties associated with multispecies consortia that could not be predicted by studies of the individual component species. Here, we review a range of defined and undefined experimental systems used to study microbial community interactions.     

Microbial diversity and function in soil: from genes to ecosystems

Soils sustain an immense diversity of microbes, which, to a large extent, remains unexplored. A range of novel methods, most of which are based on rRNA and rDNA analyses, have uncovered part of the soil microbial diversity. The next step in the era of microbial ecology is to extract genomic, evolutionary and functional information from bacterial artificial chromosome libraries of the soil community genomes (the metagenome). Sophisticated analyses that apply molecular phylogenetics, DNA microarrays, functional genomics and in situ activity measurements will provide huge amounts of new data, potentially increasing our understanding of the structure and function of soil microbial ecosystems, and the interactions that occur within them. This review summarizes the recent progress in studies of soil microbial communities with focus on novel methods and approaches that provide new insight into the relationship between phylogenetic and functional diversity.     

污染土壤微生物群落结构多样性及功能多样性测定方法

土壤微生物在促进土壤质量和植物健康方面发挥着重要的作用,土壤微生物群落结构和组成的多样性及其变化在一定程度上反映了土壤质量.为了更好地了解土壤健康状况,非常有必要发展有效的方法来研究污染土壤微生物的多样性、分布以及行为等.回顾了近年来国内外污染土壤微生物群落结构多样性及功能多样性的测定方法,包括生物化学技术和分子生物学技术,现将它们的原理、优缺点、实用性及其发展动态作一阐述,同时指出结合这两种技术可为微生物群落分析提供一个更全面的、精确的方法.     

A mathematical model for plasmid replication and distribution in microbial populations

A mathematical model and a computer program for its implementation have been developed to predict the distribution of plasmid copy numbers in the individual cells of a microbial population. The kinetics of accumulation of plasmid-free cells. the copy number distribution within the population and the mean copy number can all be calculated using the computer program. The model has been shown to accurately predict these parameters for recombinant plasmids in yeast populations.     

Advances in recovery of novel biocatalysts from metagenomes

Metagenomics has accelerated the process of discovery of novel biocatalysts by enabling scientists to tap directly into the entire diversity of enzymes held within natural microbial populations. Their characterization has revealed a great deal of valuable information about enzymatic activity in terms of factors which influence their stability and activity under a wide range of conditions. Many of the biocatalysts have particular properties making them suitable for biotechnological applications. A diverse array of strategies has been developed to optimize each step of the process of generating and screening metagenomic libraries for novel biocatalysts. This review covers the diversity of metagenome-derived enzymes characterized to date, and the strategies currently being developed to optimize discovery of novel metagenomic biocatalysts.