Metagenomics--the key to the uncultured microbes

It is widely accepted that up to 99.8% of the microbes present in many environments are not readily culturable. 'Metagenome technology' tries to overcome this bottleneck by developing and using culture-independent approaches. From the outset, metagenome-based approaches have led to the accumulation of an increasing number of DNA sequences, but until this time the sequences retrieved have been those of uncultured microbes. These genomic sequences are currently exploited for novel biotechnological and pharmaceutical applications and to increase our knowledge on microbial ecology and physiology of these microbes. Using the metagenome sequences to fully understand how complex microbial communities function and how microbes interact within these niches represents a major challenge for microbiologists today.     

Intertwined interspecies relationships: approaches to untangle the microbial network

In nature, microorganisms live by interacting with each other. Microbiological studies that only consider pure cultures are not sufficient to adequately describe the natural behaviour of microbes. Several microbial interactions have been recognized to affect the growth or metabolism of others; e.g. syntrophic cometabolism, competition, production of inhibitors or activators, and predation. It is believed that third‐party organisms easily affect the two‐species relationships and these relationships form the basis of interspecies networks within microbial communities. A microbial network contributes to ‘functional redundancy’ or ‘structural diversity’ and the microbial communities effectively act as a multicellular organism. It is necessary to understand not only the physiological activity of members within microbial communities but also their roles to regulate the activity or population of others. To access the microbial network, we require (i) comprehensive determination of all possible interspecies relationships among microbes, (ii) knock‐out experiments by which certain members can be removed or suppressed, and (iii) supplemental addition of microbes or activation of certain members. Microbial network studies have started using defined microbial communities, i.e. a mixed culture that is composed of three or four species. In order to expand these studies to microflora in nature, microbial ecology requires the help of mathematical biology.     

New insights into relationships between active and dormant organisms,phylogenetic diversity and ecosystem productivity

Marine microbes make up a key part of ocean food webs and drive ocean chemistry through a range of metabolic processes. A fundamental question in ecology is whether the diversity of organisms in a community shapes the ecological functions of that community. While there is substantial evidence to support a positive link between diversity and ecological productivity for macro‐organisms in terrestrial environments, this relationship has not previously been verified for marine microbial communities. One factor complicating the understanding of this relationship is that many marine microbes are dormant and are easily dispersed by ocean currents, making it difficult to ensure that the organisms found in a given environmental sample accurately reflect processes occurring in that environment. Another complication is that, due to microbes great range of genotypic and phenotypic variability, communities with distantly related species may have greater range of metabolic functions than communities have the same richness and evenness, but in which the species present are more closely related to each other. In this issue of Molecular Ecology, Galand et al. (2015) provide compelling evidence that the most metabolically active communities are those in which the nondormant portion of the microbial community has the highest phylogenetic diversity. They also illustrate that focusing on the active portion of the community allows for detection of temporal patterns in community structure that would not be otherwise evident. The authors’ point out that the presence of many dormant organisms that do not contribute to ecosystem functioning is a feature that makes microbial ecosystems fundamentally different from macro‐ecosystems and that this difference needs to be accounted for in microbial ecology theory.     

Direct rRNA Fingerprinting,a Novel Method to Profile Low Diversity Microbial Communities

In the past decade, an increasing number of methods in microbial ecology have been developed that address the questions of which microbes exist in the environment, what their roles are and, to some extent, what their abundance is. In the present paper, we propose and describe the proof of principle of a novel method for analysing shifts in microbial community composition that uses small RNA fragments directly derived from 16S rRNA. Community fingerprints are generated on the basis of sequence-dependent conformational differences of rRNA fragments. We applied this method to profile artificial and natural communities and to detect changes in community structure in enrichment cultures. This method constitutes a PCR-free alternative to microbial community characterisation and can provide information on the relative abundance of rRNA from individual phylotypes in low diversity samples.     

成像质谱在微生物代谢产物研究中的应用

微生物代谢产物的结构和功能多样,对相邻微生物和环境会产生重要影响。传统的天然产物分离方法不能系统全面地监测单一或混合微生物样品中代谢物的合成和释放模式。成像质谱能够同时可视化观察从单一微生物菌落到复杂微生物群落的多个代谢产物的时空分布,可以用于发现重要的生物活性分子,观察微生物菌落的代谢交流,以及跟踪微生物之间相互竞争过程中代谢物的修饰等方面的研究。本文综述了成像质谱在微生物代谢产物研究中的最新进展,展望了该技术的应用前景。     

微生物可培养性低的生态学释因与对策

纯培养技术一直是微生物学研究的基石,但其单一的营养结构和生境与自然环境中微生物多样性、协同代谢等明显矛盾,从而成为部分微生物难以复苏的主要障碍。细菌共同协作的自然生存方式的崩溃、生境的极度营养变化和生态位巨变等是微生物可培养性低的主要生态学原因。非培养技术、加富培养、混合培养、稀释培养、模拟自然培养和综合方法等是主要的研究手段和策略,可在不同程度上解决微生物可培养性低的缺陷和问题。     

Comparative analysis of microbial diversity in Longitarsus flea beetles (Coleoptera: Chrysomelidae)

Herbivorous beetles comprise a significant fraction of eukaryotic biodiversity and their plant-feeding adaptations make them notorious agricultural pests. Despite more than a century of research on their ecology and evolution, we know little about the diversity and function of their symbiotic microbial communities. Recent culture-independent molecular studies have shown that insects possess diverse gut microbial communities that appear critical for their survival. In this study, we combined culture-independent methods and high-throughput sequencing strategies to perform a comparative analysis of Longitarsus flea-beetles microbial community diversity (MCD). This genus of beetle herbivores contains host plant specialists and generalists that feed on a diverse array of toxic plants. Using a deep-sequencing approach, we characterized the MCD of eleven Longitarsus species across the genus, several of which represented independent shifts to the same host plant families. Database comparisons found that Longitarsus-associated microbes came from two habitat types: insect guts and the soil rhizosphere. Statistical clustering of the Longitarsus microbial communities found little correlation with the beetle phylogeny, and uncovered discrepancies between bacterial communities extracted directly from beetles and those from frass. A Principal Coordinates Analysis also found some correspondence between beetle MCD and host plant family. Collectively, our data suggest that environmental factors play a dominant role in shaping Longitarsus MCD and that the root-feeding beetle larvae of these insects are inoculated by soil rhizosphere microbes. Future studies will investigate MCD of select Longitarsus species across their geographic ranges and explore the connection between the soil rhizosphere and the beetle MCD.     

Microbial ecology in the age of genomics and metagenomics: concepts, tools, and recent advances

Microbial ecology examines the diversity and activity of micro-organisms in Earth's biosphere. In the last 20 years, the application of genomics tools have revolutionized microbial ecological studies and drastically expanded our view on the previously underappreciated microbial world. This review first introduces the basic concepts in microbial ecology and the main genomics methods that have been used to examine natural microbial populations and communities. In the ensuing three specific sections, the applications of the genomics in microbial ecological research are highlighted. The first describes the widespread application of multilocus sequence typing and representational difference analysis in studying genetic variation within microbial species. Such investigations have identified that migration, horizontal gene transfer and recombination are common in natural microbial populations and that microbial strains can be highly variable in genome size and gene content. The second section highlights and summarizes the use of four specific genomics methods (phylogenetic analysis of ribosomal RNA, DNA-DNA re-association kinetics, metagenomics, and micro-arrays) in analysing the diversity and potential activity of microbial populations and communities from a variety of terrestrial and aquatic environments. Such analyses have identified many unexpected phylogenetic lineages in viruses, bacteria, archaea, and microbial eukaryotes. Functional analyses of environmental DNA also revealed highly prevalent, but previously unknown, metabolic processes in natural microbial communities. In the third section, the ecological implications of sequenced microbial genomes are briefly discussed. Comparative analyses of prokaryotic genomic sequences suggest the importance of ecology in determining microbial genome size and gene content. The significant variability in genome size and gene content among strains and species of prokaryotes indicate the highly fluid nature of prokaryotic genomes, a result consistent with those from multilocus sequence typing and representational difference analyses. The integration of various levels of ecological analyses coupled to the application and further development of high throughput technologies are accelerating the pace of discovery in microbial ecology.     

Metagenomics of microbial and viral life in terrestrial geothermal environments

Geothermally heated regions of Earth, such as terrestrial volcanic areas (fumaroles, hot springs, and geysers) and deep-sea hydrothermal vents, represent a variety of different environments populated by extremophilic archaeal and bacterial microorganisms. Since most of these microbes thriving in such harsh biotopes, they are often recalcitrant to cultivation; therefore, ecological, physiological and phylogenetic studies of these microbial populations have been hampered for a long time. More recently, culture-independent methodologies coupled with the fast development of next generation sequencing technologies as well as with the continuous advances in computational biology, have allowed the production of large amounts of metagenomic data. Specifically, these approaches have assessed the phylogenetic composition and functional potential of microbial consortia thriving within these habitats, shedding light on how extreme physico-chemical conditions and biological interactions have shaped such microbial communities. Metagenomics allowed to better understand that the exposure to an extreme range of selective pressures in such severe environments, accounts for genomic flexibility and metabolic versatility of microbial and viral communities, and makes extreme- and hyper-thermophiles suitable for bioprospecting purposes, representing an interesting source for novel thermostable proteins that can be potentially used in several industrial processes.     

Characterisation of culture-independent and -dependent microbial communities in a high-temperature offshore chalk petroleum reservoir

Recent studies have indicated that oil reservoirs harbour diverse microbial communities. Culture-dependent and culture-independent methods were used to evaluate the microbial diversity in produced water samples of the Ekofisk oil field, a high temperature, and fractured chalk reservoir in the North Sea. DGGE analyses of 16S rRNA gene fragments were used to assess the microbial diversity of both archaeal and bacterial communities in produced water samples and enrichment cultures from 4 different wells (B-08, X-08, X-18 and X-25). Low diversity communities were found when 16S rDNA libraries of bacterial and archaeal assemblages were generated from total community DNA obtained from produced water samples and enrichment cultures. Sequence analysis of the clones indicated close matches to microbes associated with high-temperature oil reservoirs or other similar environments. Sequences were found to be similar to members of the genera Thermotoga, Caminicella, Thermoanaerobacter, Archaeoglobus, Thermococcus, and Methanobulbus. Enrichment cultures obtained from the produced water samples were dominated by sheathed rods. Sequence analyses of the cultures indicated predominance of the genera Petrotoga, Arcobacter, Archaeoglobus and Thermococcus. The communities of both produced water and enrichment cultures appeared to be dominated by thermophilic fermenters capable of reducing sulphur compounds. These results suggest that the biochemical processes in the Ekofisk chalk reservoir are similar to those observed in high-temperature sandstone reservoirs.     

Cultivating the uncultivated: a community genomics perspective

Current isolation methods access only a small subset of the total microbial diversity. Although an isolate traditionally has been required for genomic characterization, the advent of sequencing of entire natural microbial communities enables culture-independent genomic analysis. Information about the genetic potential of uncultivated organisms can be used to predict the form of metabolic interdependencies and nutritional requirements. We believe that this could provide the information necessary to bypass bottlenecks that have inhibited cultivation of many microorganisms. However, it might not be practical or possible to isolate all of the vast number of microbial species and strains for laboratory-based characterization. Ultimately, cultivation-independent genomic and genomically enabled approaches could provide a way to directly analyze microbial activity in its geochemical and ecological context.     

Synthetic microbial ecosystems for biotechnology

Most highly controlled and specific applications of microorganisms in biotechnology involve pure cultures. Maintaining single strain cultures is important for industry as contaminants can reduce productivity and lead to longer “down-times” during sterilisation. However, microbes working together provide distinct advantages over pure cultures. They can undertake more metabolically complex tasks, improve efficiency and even expand applications to open systems. By combining rapidly advancing technologies with ecological theory, the use of microbial ecosystems in biotechnology will inevitably increase. This review provides insight into the use of synthetic microbial communities in biotechnology by applying the engineering paradigm of measure, model, manipulate and manufacture, and illustrate the emerging wider potential of the synthetic ecology field. Systems to improve biofuel production using microalgae are also discussed.     

Ecosystems biology of microbial metabolism

The metabolic capabilities of many environmentally and medically important microbes can be quantitatively explored using systems biology approaches to metabolic networks. Yet, as we learn more about the complex microbe-microbe and microbe-environment interactions in microbial communities, it is important to understand whether and how system-level approaches can be extended to the ecosystem level. Here we summarize recent work that addresses these challenges at multiple scales, starting from two-species natural and synthetic ecology models, up to biosphere-level approaches. Among the many fascinating open challenges in this field is whether the integration of high throughput sequencing methods and mathematical models will help us capture emerging principles of ecosystem-level metabolic organization and evolution.     

Cultivation of Walsby's square haloarchaeon

The square haloarchaea of Walsby (SHOW group) dominate hypersaline microbial communities but have not been cultured since their discovery 25 years ago. We show that natural water dilution cultures can be used to isolate members of this group and, once in pure culture, they can be grown in standard halobacterial media. Cells display a square morphology and contain gas vesicles and poly-beta-hydroxybutyrate (PHB) granules. The 16S rRNA gene sequence was >99% identical to other SHOW group sequences. They prefer high salinities (23-30%), and can grow with a doubling time of 1-2 days in rich media. The ability to culture SHOW group organisms makes it possible to study, in a comprehensive way, the microbial ecology of salt lakes.     

油藏微生物群落研究的方法学

油藏微生物群落的解析和认知是开发和应用微生物采油技术的基础。利用各种提高油藏微生物可培养性的方法和非培养技术解析不同油藏微生物的群落结构、功能和多样性,对定向调控油藏微生物群落、开发和应用有效微生物驱油技术具有重要的指导意义。通过调查新近发展的提高微生物可培养性的方法和措施以及不依赖于培养的分子微生物生态学技术,总结了油藏微生物群落研究方法学的最新进展。提高微生物可培养性的方法和措施主要通过模拟微生物的生存环境,减少富营养的毒害作用、添加信号分子维持微生物细胞间的作用和提供新型电子供体和受体等手段采用稀释法、高通量培养法等方法得以实现;不依赖于培养的分子微生物生态学技术主要包括荧光原位杂交、末端限制性片断长度多态性分析、变性梯度凝胶电泳和构建克隆文库等技术。这些方法学的进展为更有效的获得各种油藏微生物资源、调控油藏微生物群落以提高石油采收率提供理论指导。     

Microbial diversity associated with ascidians: a review of research methods and application

This paper reviews research in microbial diversity associated with ascidians (commonly known as sea squirts). The application of culture-dependent and culture-independent techniques is introduced in detail and these methods are analyzed for their advantages and limitations. Because of the limitations of available media and cultivation conditions, culture-dependent methods can only reveal a limited portion of the microorganisms in ascidians. However, the acquisition of typical microbial community members in culture remains a valuable resource for exploring their bioactive potential and relationships with the ascidian hosts. The application of metagenomic library methods has greatly accelerated ascidian metabolites studies. The next-generation sequencing techniques have led to the acquisition of an unprecedented quantity of ascidian microorganism data, providing the most comprehensive information about ascidian microbial diversity. Ascidians provide unique ecological niches that harbor an unexpected diversity of microorganisms different from planktonic bacteria in the local seawater. Microbial communities associated with ascidians tend to be species-specific and tissue-specific. Different tissue of the same ascidian may be associated with different microbial communities.     

Exploration of soil bacterial communities for their potential as bioresource

Soil is a repository of diverse microorganisms, which has frequently been used to isolate and exploit microbes for industrial, environmental and agricultural applications. Knowledge about the structure and dynamics of bacterial communities in soil has been limited as only a small fraction of bacterial diversity is accessible to culture methods. Traditional enrichment techniques and the pure culture approach for microbiological studies have offered only a narrow portal for examining the soil microbial flora due to their limited selectivity. Therefore, the morphological and nutritional criteria used to describe bacterial community failed to provide a natural taxonomic order according to evolutionary relationship. Molecular methods under an emerging discipline of biology "molecular microbial ecology" are now helping in getting these constraints removed to some extent. Nucleic acid extraction from soil is the first crucial step in the application of most of the molecular techniques, which have largely been dominated by diverse variations of PCR. Due to its rapidity, sensitivity and specificity, PCR-based finger printing techniques have proved extremely useful in assessing the changes in microbial community structure. Such techniques can yield complex community profiles and can also provide useful phylogenetic information. Fluorescent in situ hybridization (FISH) can be used to evaluate the distribution and function of bacterial population in situ. DNA microarray techniques have also been developed and being frequently used for the evaluation of ecological role and phylogenetic affiliations of bacterial populations in the soil.