Applying landscape genetics to the microbial world

Landscape genetics, which explicitly quantifies landscape effects on gene flow and adaptation, has largely focused on macroorganisms, with little attention given to microorganisms. This is despite overwhelming evidence that microorganisms exhibit spatial genetic structuring in relation to environmental variables. The increasing accessibility of genomic data has opened up the opportunity for landscape genetics to embrace the world of microorganisms, which may be thought of as ‘the invisible regulators’ of the macroecological world. Recent developments in bioinformatics and increased data accessibility have accelerated our ability to identify microbial taxa and characterize their genetic diversity. However, the influence of the landscape matrix and dynamic environmental factors on microorganism genetic dispersal and adaptation has been little explored. Also, because many microorganisms coinhabit or codisperse with macroorganisms, landscape genomic approaches may improve insights into how micro‐ and macroorganisms reciprocally interact to create spatial genetic structure. Conducting landscape genetic analyses on microorganisms requires that we accommodate shifts in spatial and temporal scales, presenting new conceptual and methodological challenges not yet explored in ‘macro’‐landscape genetics. We argue that there is much value to be gained for microbial ecologists from embracing landscape genetic approaches. We provide a case for integrating landscape genetic methods into microecological studies and discuss specific considerations associated with the novel challenges this brings. We anticipate that microorganism landscape genetic studies will provide new insights into both micro‐ and macroecological processes and expand our knowledge of species’ distributions, adaptive mechanisms and species’ interactions in changing environments.     

Characterization of plant growth-promoting rhizobacterial isolates associated with food plants in South Africa

Antonie van Leeuwenhoek - The region around the plant root referred to as the rhizosphere, is the zone where various microbial activity occurs. It performs crucial functions such as increasing the...     

Towards a processual microbial ontology

Standard microbial evolutionary ontology is organized according to a nested hierarchy of entities at various levels of biological organization. It typically detects and defines these entities in relation to the most stable aspects of evolutionary processes, by identifying lineages evolving by a process of vertical inheritance from an ancestral entity. However, recent advances in microbiology indicate that such an ontology has important limitations. The various dynamics detected within microbiological systems reveal that a focus on the most stable entities (or features of entities) over time inevitably underestimates the extent and nature of microbial diversity. These dynamics are not the outcome of the process of vertical descent alone. Other processes, often involving causal interactions between entities from distinct levels of biological organisation, or operating at different time scales, are responsible not only for the destabilisation of pre-existing entities, but also for the emergence and stabilisation of novel entities in the microbial world. In this article we consider microbial entities as more or less stabilised functional wholes, and sketch a network-based ontology that can represent a diverse set of processes including, for example, as well as phylogenetic relations, interactions that stabilise or destabilise the interacting entities, spatial relations, ecological connections, and genetic exchanges. We use this pluralistic framework for evaluating (i) the existing ontological assumptions in evolution (e.g. whether currently recognized entities are adequate for understanding the causes of change and stabilisation in the microbial world), and (ii) for identifying hidden ontological kinds, essentially invisible from within a more limited perspective. We propose to recognize additional classes of entities that provide new insights into the structure of the microbial world, namely “processually equivalent” entities, “processually versatile” entities, and “stabilized” entities.     

活性污泥微生物菌群研究方法进展

活性污泥是活性污泥法处理污水系统的功能主体。人类对活性污泥微生物菌群的认识随着其研究方法的发展而逐步深入。传统培养方法只能检测到活性污泥中1％～15％的微生物。随着一系列基于免培养的分子生物学技术的出现,活性污泥中菌群的复杂性和多样性以惊人的速度被人们认识,大量依靠传统检测方法未能发现却在活性污泥中起关键作用的微生物逐渐被发现。许多模拟活性污泥菌群生存环境条件的现代培养技术开始发展,且已成功培养了一部分传统培养方法不能培养的细菌类群,这为研究基于免培养方法发现的大量新的微生物菌群的生理特性和作用机制提供了可能,也无疑将把人们对活性污泥菌群的认识推向一个新的层次．主要介绍活性污泥微生物菌群研究的一系列方法,从传统培养方法到基于免培养的现代分子生物学技术,再到现代培养技术,着重论述了现代分子生物学技术及其在活性污泥微生物菌群研究中的进展。     

Marine Metagenome as A Resource for Novel Enzymes

More than 99% of identified prokaryotes, including many from the marine environment,cannot be cultured in the laboratory. This lack of capability restricts our knowledge of microbial genetics and community ecology. Metagenomics, the culture-independent cloning of environmental DNAs that are isolated directly from an environmental sample, has already provided a wealth of information about the uncultured microbial world. It has also facilitated the discovery of novel biocatalysts by allowing researchers to probe directly into a huge diversity of enzymes within natural microbial communities. Recent advances in these studies have led to a great interest in recruiting microbial enzymes for the development of environmentally-friendly industry. Although the metagenomics approach has many limitations, it is expected to provide not only scientific insights but also economic benefits, especially in industry. This review highlights the importance of metagenomics in mining microbial lipases, as an example, by using high-throughput techniques. In addition, we discuss challenges in the metagenomics as an important part of bioinformatics analysis in big data.     

Recent trends in industrial microbiology

The majority of current biotechnological applications are of microbial origin, and it is widely appreciated that the microbial world contains by far the greatest fraction of biodiversity in the biosphere. Because of their biotech impact, numerous efforts are being undertaken worldwide, with an ultimate goal to deliver new usable substances of microbial origin to the marketplace. However, the direct isolation of microbes always revealed that the majority are not amenable to be cultured and no representatives for many major microbial phyla have been thus far characterized. Therefore, the knowledge on new microbes and/or genomic information thereof, or from their communities, will pose an enormous potential to provide industry with novel products and processes based on the use of microbial resources, and contribute to and extend the basic mechanistic knowledge on the functioning of organisms. The present review highlights some examples and advances in the exploration of the genetic reservoir of (un)cultured microbes for industrial applications.     

How do we make indoor environments and healthcare settings healthier?

It is now well accepted that our modern lifestyle has certain implications for our health (Schaub et al., 2006 ), mainly as a result of our willingness to remove ourselves from the biological diversity of our natural environments (Roduit et al., 2016 ), while still being drawn inextricably to interact with it (Kellert and Wilson, 1995 ). Much of our interaction with the biological world is shaped by our interaction with the microbiological world. The bacteria, fungi, viruses, archaea and protists that comprise the microbiome of this planet, are also key to the development and normal functioning of our bodies. Our immune system is built to shepherd our microbial exposure, ensuring that microbial organisms that we need are kept close (but not too close), and that less‐desirable organisms are expelled or killed before they can do too much damage. By moving from a life interacting with nature on a regular basis, to a life in which we isolate ourselves physically from natural microbial exposure, we may have instigated one of the great plagues of the 21st century; chronic immune disorders.     

Inducible cell lysis systems in microbial production of bio-based chemicals

The release of products from microbial cells is an essential process for industrial scale production of bio-based chemicals. However, traditional methods of cell lysis, e.g., mechanical disruption, chemical solvent extraction, and immobilized enzyme degradation, account for a large share of the total production cost. Thus, an efficient cell lysis system is required to lower the cost. This review has focused on our current knowledge of two cell lysis systems, bacteriophage holin–endolysin system, and lipid enzyme hydrolysis system. These systems are controlled by conditionally inducible regulatory apparatus and applied in microbial production of fatty acids and polyhydroxyalkanoates. Moreover, toxin–antitoxin system is also suggested as alternative for its potential applications in cell lysis. Compared with traditional methods of cell disruption, the inducible cell lysis systems are more economically feasible and easier to control and show a promising perspective in industrial production of bio-based chemicals.     

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.     

Small but Mighty: Cell Size and Bacteria

Our view of bacteria is overwhelmingly shaped by their diminutive nature. The most ancient of organisms, their very presence was not appreciated until the 17th century with the invention of the microscope. Initially, viewed as “bags of enzymes,” recent advances in imaging, molecular phylogeny, and, most recently, genomics have revealed incredible diversity within this previously invisible realm of life. Here, we review the impact of size on bacterial evolution, physiology, and morphogenesis.Humanity has always experienced the impact of microorganisms, most obviously through their ability to cause devastating disease. For the vast majority of human history, we were unaware of their presence, much less the fundamental microbial processes to which we owe our existence: from the production of energy by our ancient bacterial endosymbionts (the mitochondria) to the generation of oxygen in our atmosphere. Despite their astounding global abundance (∼10³⁰ cells) and their substantial contribution to the total biomass of planet earth (Whitman et al. 1998; Kallmeyer et al. 2012), our inability to see these tiny life forms shrouded their nearly limitless diversity in mystery. It was not until the 17th century, with the careful observations and reports of Anton van Leeuwenhoek, that we became aware of this previously invisible world on and around us. Today, we know that there are more bacteria living in our intestinal tract than stars in the Milky Way galaxy (and that they far outnumber all the people who have ever lived). We also know now that we thrive because of their metabolic support. Although less than 1% of bacteria can be cultured readily in the laboratory (Amann et al. 1995), the biochemical versatility among these tiny creatures exceeds that of the plants, animals, and fungi combined (Pace 1997).Anton van Leeuwenhoek’s illustrations in a letter to the Royal Society of London in the late 17th century provide one of the earliest records of bacterial cell form (Dobell 1960). Viewed through a single lens, Leeuwenhoek pioneered studies of the human microbiome, describing motile bacilli, cocci, and spirochetes he found in scrapings taken from between his teeth (and the teeth of others). This triumph was made possible by incomparable curiosity, lens construction, and exceptional lighting. The simple cellular structure and glassy nature of most unstained bacteria viewed with a light microscope generated little interest in bacterial cell biology with the exception of objects of unusual contrast, such as endospores described by Robert Koch and the wonderfully colorful and large cyanobacteria. The bacterial nature of the latter was itself only appreciated late in the 20th century (Oren 2004). For the most part, bacteria were viewed as primitive “bags of enzymes” until the 1990s, when the complexity of bacterial subcellular structure and regulators of cell reproduction finally began to emerge. Tools and reagents developed for eukaryotic cell biology (e.g., stains for DNA, membranes, and fluorescent protein tags), once applied to bacterial cells, revealed astonishing insights including the specific and even dynamic localization patterns of proteins, and the accuracy of chromosome organization.     

Finding the Needles in the Metagenome Haystack

In the collective genomes (the metagenome) of the microorganisms inhabiting the Earth’s diverse environments is written the history of life on this planet. New molecular tools developed and used for the past 15 years by microbial ecologists are facilitating the extraction, cloning, screening, and sequencing of these genomes. This approach allows microbial ecologists to access and study the full range of microbial diversity, regardless of our ability to culture organisms, and provides an unprecedented access to the breadth of natural products that these genomes encode. However, there is no way that the mere collection of sequences, no matter how expansive, can provide full coverage of the complex world of microbial metagenomes within the foreseeable future. Furthermore, although it is possible to fish out highly informative and useful genes from the sea of gene diversity in the environment, this can be a highly tedious and inefficient procedure. Microbial ecologists must be clever in their pursuit of ecologically relevant, valuable, and niche-defining genomic information within the vast haystack of microbial diversity. In this report, we seek to describe advances and prospects that will help microbial ecologists glean more knowledge from investigations into metagenomes. These include technological advances in sequencing and cloning methodologies, as well as improvements in annotation and comparative sequence analysis. More significant, however, will be ways to focus in on various subsets of the metagenome that may be of particular relevance, either by limiting the target community under study or improving the focus or speed of screening procedures. Lastly, given the cost and infrastructure necessary for large metagenome projects, and the almost inexhaustible amount of data they can produce, trends toward broader use of metagenome data across the research community coupled with the needed investment in bioinformatics infrastructure devoted to metagenomics will no doubt further increase the value of metagenomic studies in various environments.     

The success of science and social norms

In this paper I characterize science in terms of both invisible hand social organization and selection. These two processes are responsible for different features of science. Individuals working in isolation cannot produce much in the way of the warranted knowledge. Individual biases severely limit how much secure knowledge an individual can generate on his or her own. Individuals working in consort are required, but social groups can be organized in many different ways. The key feature of the social organization in science is that only working scientists can confer the most important reward in science--use--and scientists must use each other's work in order to succeed in realizing this goal. An analysis of science as a selection process serves quite a different function. Individual scientists strive to come up with novel solutions to significant problems. The question then becomes how to be creative. From a selective perspective, science as a process involves the production of numerous alternatives and a selection among them. A single scientist solving an important problem makes science look very efficient. Treating science as a selection process casts it in a very different light. In this paper I combine an invisible hand mechanism with a selective perspective in order to explain why science is as successful as it is. I do not make recourse to evolutionary epistemology in any of its traditional senses.     

Ribonucleotide reductases and their occurrence in microorganisms: A link to the RNA/DNA transition

Abstract: The evolution of a deoxyribonucleotide synthesizing ribonucleotide reductase might have initiated the transition from the ancient RNA world into the prevailing DNA world. At least five classes of ribonucleotide reductases have evolved. The ancient enzyme has not been identified. A reconstruction of the first ribonucleotide reductase requires knowledge of contemporary enzymes and of microbial evolution. Experimental work on the former focuses on few organisms, whereas the latter is now well understood on the basis of ribosomal RNA sequences. Deoxyribonucleotide formation has not been investigated in many evolutionary important microorganisms. This review covers our knowledge on deoxyribonucleotide synthesis in microorganisms and the distribution of ribonucleotide reductases in nature. Ecological constraints on enzyme evolution and knowledge deficiencies emerge from complete coverage of the phylogenetic groups.     

Healing across Cultures: Learning from Traditions

The health and wellness of an individual are reliant on the integrated effects of mind, body, and spirit. This triad is intricately set within a backdrop of the environment, our earth. Western cultures often disregard this holism, especially this fourth component, in its considerations of wellness as described by modern medicine. This practice is unlike that of many of the traditional cultures in the world. These cultures focus more on balance in the context of environmental respect. Varied cultures share remarkable similarities in their healing modalities, especially considering the relative isolation from one to another—evidence that there is truth to the healing knowledge they possess. We are not disconnected from the natural world in terms of health, but dependent and interconnected within ourselves and to everything around us. Social change is required to assure that the practice of modern medicine evolves to incorporate this integral aspect of health and wellness, and this can be done through partnerships with traditional healers.There is a growing demand for wellness and earthly responsibility. It is time to appropriately learn from age-old societies and their healing traditions for they do have answers we are seeking in sustainability and harmony, environmental stewardship and planetary respect, and holistic health. For thousands of years, our ancestors have known the secrets of long life—this knowledge needs to be preserved through the apprenticeship of future generations. We propose a collaboration that develops mutually beneficial learning partnerships combining modern medical knowledge with the wisdom of traditional healers around the world.     

Dynamics of organic matter in soils

Summary Dynamics of C, N, S, and to some extent P are expressed by a knowledge of the size and turnover rates of plant constituents such as soluble C and N components, cellulose and hemicellulose, and lignin. Soil organic matter constituents include: the microbial biomass as determined chemically or microscopically, non-biomass active components determined by isotopic dilution, stabilized N constituents for which good techniques are not yet available, and resistant or old C and associated N determined by carbon dating. The processes involved in the nutrient transformations and transfers are reasonably well understood. The control mechanisms require further elucidation to be able to extrapolate from the laboratory to the field, and between field sites. Major control mechanisms requiring further insight include the effects of C availability on transformations of C and N. The other control for which every little is known is that of spatial compartmentalization. Compartmentalization ranges from landscape or management sequences to pedogenic layers, rhizosphere-mycorrhizal effects, clay-sesquioxide surfaces, aggregation, localized enzymes, and microbial effects such as membrane boundaries. Control mechanisms for concurrent mineralization-immobilization, the stabilization of microbial products, and the relative role of the biomass as a catalyst rather than as a source-sink for nutrients, must be understood. There is potential for combining a knowledge of microbial production and turnover with that of the roles of the soil organic active fraction as a temporary storehouse for nutrients. This, in conjunction with management techniques such as zero tillage and crop rotation, should make it possible to better utilize soil and fertilizer N, especially in areas of the world where the cost of nutrients is high relative to the value of the crop grown.Introductory lecture     

Molecular evaluation of microbial diversity occurring in different types of Mozzarella cheese

AIMS: The microbial community of different types of unripened Pasta Filata cheese was investigated by culture-independent methods with the aim of rapidly achieving knowledge about cheese microbiota and discriminating traditional and industrial cheeses. METHODS AND RESULTS: The microbial DNA extracted directly from the samples was used as a template in PCR experiments to amplify the 16S-23S rDNA spacer region and the V3 region of the 16S rDNA. Conventional electrophoresis of the amplified spacers allowed known classes of these DNA fragments belonging to genera and species of lactic acid bacteria to be distinguished. Denaturing gradient gel electrophoresis analysis of V3 amplicons was supported by reference cultures of LAB used as markers. CONCLUSION: Both molecular approaches furnished the expected information about microbial diversity and were quite valid for discriminating industrial, semi-artisanal or traditional cheeses, characterized by increasingly complex DNA profiles. SIGNIFICANCE AND IMPACT OF THE STUDY: Both methods could be used for legal purposes when products obtained through prescribed manufacturing regulations are to be analysed.     

The Effect of Ongoing Exposure Dynamics in Dose Response Relationships

Characterizing infectivity as a function of pathogen dose is integral to microbial risk assessment. Dose-response experiments usually administer doses to subjects at one time. Phenomenological models of the resulting data, such as the exponential and the Beta-Poisson models, ignore dose timing and assume independent risks from each pathogen. Real world exposure to pathogens, however, is a sequence of discrete events where concurrent or prior pathogen arrival affects the capacity of immune effectors to engage and kill newly arriving pathogens. We model immune effector and pathogen interactions during the period before infection becomes established in order to capture the dynamics generating dose timing effects. Model analysis reveals an inverse relationship between the time over which exposures accumulate and the risk of infection. Data from one time dose experiments will thus overestimate per pathogen infection risks of real world exposures. For instance, fitting our model to one time dosing data reveals a risk of 0.66 from 313 Cryptosporidium parvum pathogens. When the temporal exposure window is increased 100-fold using the same parameters fitted by our model to the one time dose data, the risk of infection is reduced to 0.09. Confirmation of this risk prediction requires data from experiments administering doses with different timings. Our model demonstrates that dose timing could markedly alter the risks generated by airborne versus fomite transmitted pathogens.     

A microbial world within us

The microbial world within us includes a vast array of gastrointestinal (GI) tract communities that play an important role in health and disease. Significant progress has been made in recent years in describing the intestinal microbial composition based on the application of 16S ribosomal RNA (rRNA)-based approaches. These were not only instrumental in providing a phylogenetic framework of the more than 1000 different intestinal species but also illustrated the temporal and spatial diversity of the microbial GI tract composition that is host-specific and affected by the genotype. However, our knowledge of the molecular and cellular bases of host-microbe interactions in the GI tract is still very limited. Here an overview is presented of the most recent developments and applications of novel culture-independent approaches that promise to unravel the mechanisms of GI tract functionality and subsequent possibilities to exploit specifically these mechanisms in order to improve gut health.     

土壤微生物生物地理学研究进展

生物地理学是研究生物（包括种群、群落等不同层次）地理分布格局及成因的一门交叉学科。微生物生物地理学的研究长期滞后于宏生物地理学。鉴于土壤微生物在调控生物地球化学过程和维持生态系统功能方面的重要作用,对其空间分布格局及形成机制的认识具有十分重要的理论和实际意义。随着分子生物学技术的发展,对微生物多样性的认知日益深入。越来越多的证据表明,土壤微生物群落结构和多样性具有一定的时空分布格局,从而对微生物全球性随机分布的传统观点提出了挑战。对当前土壤微生物生物地理学研究中的一些概念性问题,如微生物物种的定义、微生物多样性的定量测度、对微生物全球性随机分布的争论等,进行了系统评述;以微生物种-面积关系和距离-衰减关系为例对当前最新的土壤微生物生物地理学研究成果进行总结,并初步探讨了土壤微生物群落的地带性分布问题;在传统生物地理学理论的指导下,提出了一个可用于验证土壤微生物空间分布格局形成和机制维持的简单研究框架。这些对今后土壤微生物生物地理学的研究有一定借鉴和指导意义。