Life With or Without Names

The terms ‘life’, ‘species’ and ‘individuals’ are key concepts in biology. However, theoretical and practical concerns are directly associated with definitions of these terms and their use in researchers’ work. Although the practical implications of employing definition of ‘species’ and ‘individuals’ are often clear, it is surprising how most biologists work in their field of study without adhering to a specific definition of life. In everyday scientific practice, biologists rarely define life. This is somewhat understandable: the majority of biologists accept the standard definition of life without exploring it, but this represents a bad attitude. In this essay, we update the concepts of life, species, and individuals in the light of the new techniques for massive DNA sequencing collectively known as high throughput DNA sequencing (HTS). A re-evaluation of the newest approaches and traditional concepts is required, because in many scientific publications, HTS users apply concepts ambiguously (in particular that of species). However, the absence of clarity is understandable. For most of the last 250 years, from Linnaeus to the most recent researches, identification and classification have been performed applying the same process. On the contrary, through HTS, biologists have become simply identifiers, who construct boundaries around the biological entities and do not examine the taxa at length, resulting in uncertainty in most readers and displeasure in traditional taxonomists. We organised our essay to answer a basic question: can we develop new means to observe living organisms?     

Live-cell imaging in the era of too many microscopes

At the time of this writing, searching Google Scholar for ‘light-sheet microscopy’ returns almost 8500 results; over three-quarters of which were published in the last 5 years alone. Searching for other advanced imaging methods in the last 5 years yields similar results: ‘super-resolution microscopy’ (>16 000), ‘single-molecule imaging’ (almost 10 000), SPIM (Single Plane Illumination Microscopy, 5000), and ‘lattice light-sheet’ (1300). The explosion of new imaging methods has also produced a dizzying menagerie of acronyms, with over 100 different species of ‘light-sheet’ alone, from SPIM to UM (Ultra microscopy) to SiMView (Simultaneous MultiView) to iSPIM (inclined SPIM, not to be confused with iSPIM, inverted SPIM). How then is the average biologist, without an advanced degree in physics, optics, or computer science supposed to make heads or tails of which method is best suited for their needs? Let us also not forget the plight of the optical physicist, who at best might need help with obtaining healthy samples and keeping them that way, or at worst may not realize the impact their newest technique could have for biologists. This review will not attempt to solve all these problems, but instead highlight some of the most recent, successful mergers between biology and advanced imaging technologies, as well as hopefully provide some guidance for anyone interested in journeying into the world of live-cell imaging.     

The aesthetics of ‘time reckoning’: a Guna chromatic history★

This is a study of time and aesthetics through an ethnographic analysis of an indigenous visual system. Looking at historical changes in women's clothing and village patterns among Guna people (Panama), the article shows that images and artefacts are key to shedding light on indigenous historicities. Core visual and material processes encapsulate and manifest biographical and group time. By the same token, such processes provide a privileged perspective to consider how present-day social relations are the product of long-term historical transformations. The analysis draws on the relatively overlooked notion of ‘chromatism’ developed by Lévi-Strauss and subsequently elaborated by Lima as ‘chromatic sociality’. It proposes that ‘chromatism’ is an indigenous category that allows for reckoning with the passing of time and the shifting circumstances of history.     

Workflow and metrics for image quality control in large-scale high-content screens

Automated microscopes have enabled the unprecedented collection of images at a rate that precludes visual inspection. Automated image analysis is required to identify interesting samples and extract quantitative information for high-content screening (HCS). However, researchers are impeded by the lack of metrics and software tools to identify image-based aberrations that pollute data, limiting experiment quality. The authors have developed and validated approaches to identify those image acquisition artifacts that prevent optimal extraction of knowledge from high-content microscopy experiments. They have implemented these as a versatile, open-source toolbox of algorithms and metrics readily usable by biologists to improve data quality in a wide variety of biological experiments.     

Making environmental DNA count

The arc of reception for a new technology or method – like the reception of new information itself – can pass through predictable stages, with audiences’ responses evolving from ‘I don't believe it’, through ‘well, maybe’ to ‘yes, everyone knows that’ to, finally, ‘old news’. The idea that one can sample a volume of water, sequence DNA out of it, and report what species are living nearby has experienced roughly this series of responses among biologists, beginning with the microbial biologists who developed genetic techniques to reveal the unseen microbiome. ‘Macrobial’ biologists and ecologists – those accustomed to dealing with species they can see and count – have been slower to adopt such molecular survey techniques, in part because of the uncertain relationship between the number of recovered DNA sequences and the abundance of whole organisms in the sampled environment. In this issue of Molecular Ecology Resources, Evans et al. ( 2015 ) quantify this relationship for a suite of nine vertebrate species consisting of eight fish and one amphibian. Having detected all of the species present with a molecular toolbox of six primer sets, they consistently find DNA abundances are associated with species’ biomasses. The strength and slope of this association vary for each species and each primer set – further evidence that there is no universal parameter linking recovered DNA to species abundance – but Evans and colleagues take a significant step towards being able to answer the next question audiences tend to ask: ‘Yes, but how many are there?’     

The Jenner Museum

Plant diseases can kill weeds as welt as crops. Fungi which selectively infect weeds are being developed as ‘mycoherbicides’, biological alternatives to chemical weedkillers. This article discusses their potential, the factors which may limit their widespread use and how practical constraints may be overcome by understanding their physiology and ecology.     

Subcellular localization of mycobacteria in tissues and detection of lipid antigens in organelles using cryo-techniques for light and electron microscopy

The survival of intracellular pathogens within a host is determined by microbial evasion, which can be partially attributed to their subcellular trafficking strategies. Microscopic techniques have become increasingly important in understanding the cell biology of microbial infections. These recently developed techniques can be used for the subcellular localization of antigens not only in cultured cells but also within tissues such as Mycobacterium tuberculosis in lung and Mycobacterium leprae in skin. High-resolution immunofluorescence microscopy can be used in combination with cryo-immunogold electron microscopy using consecutive cryo-sections on the same tissue block forming a direct connection between the two microscopy techniques. The detection of mycobacterial lipid antigens in situ at an ultrastructural level is currently a challenge, but new modifications can be used to address this. These methods might be of interest to microbiologists and cell biologists who study host-pathogen interactions.     

Breaking the resolution limit in light microscopy.

Fluorescent imaging microscopy has been an essential tool for biologists over many years, especially after the discovery of the green fluorescent protein and the possibility of tagging virtually every protein with it. In recent years dramatic enhancement of the level of detail at which a fluorescing structure of interest can be imaged have been achieved. We review classical and new developments in high-resolution microscopy, and describe how these methods have been used in biological research. Classical methods include widefield and confocal microscopy whereas novel approaches range from linear methods such as 4Pi, I(5) and structured illumination microscopy to non-linear schemes such as stimulated emission depletion and saturated structured illumination. Localization based approaches (e.g. PALM and STORM), near-field methods and total internal refraction microscopy are also discussed. As the terms 'resolution', 'sensitivity', 'sampling' and 'precision' are sometimes confused, we explain their clear distinction. Key concepts such as the point spread function and the Abbe limit, which are necessary for an in depth understanding of the presented methods, are described without requiring extensive mathematical training.     

Palaeontology and Evolutionary Developmental Biology: A Science of the Nineteenth and Twenty–first Centuries

A wind of change has swept through palaeontology in the past few decades. Contrast Sir Peter Medawar’s dismissive: ‘palaeontology is a particularly undemanding branch of science’ (as recalled by John Maynard Smith in Sabbagh 1999, p. 158) with ‘Palaeontology: grasping the opportunities in the science of the twenty–first century’, the title of a contribution to a special issue of Geobios by the Cambridge palaeontologist, Simon Conway Morris (1998a). The winds of change have come partly from palaeontologists seeking to broaden the impact of their studies and partly from biologists (neontologists) realizing the contributions that palaeontology can make to their disciplines. Consequently, impressions of past life preserved in stone are coming alive. Fossils are being described and analyzed using new tools and languages as the static fossil record becomes a record of transitions in patterns that can be explained and related to biological, ecological, climatic and tectonic changes. The latest addition is evolutionary developmental biology, or ‘evo–devo’, whose language provides a new basis upon which to interpret anatomical change, both materially and mechanistically. In this review I examine the major contributions made by palaeontology, how palaeontology has been linked to evolution and to embryology in the past, and how links with evo–devo have enlivened and will continue to enliven both palaeontology and evo–devo. Closer links between the two fields should illuminate important unresolved issues related to the origin of the metazoans (e.g. Why is there a conflict between molecular clocks and the fossil record in timing the metazoan radiation; were Precambrian metazoan ancestors similar to extant larvae or to miniature adults?) and to diversification of the metazoans (e.g. How do developmental constraints bias the direction of evolution; how do microevolutionary developmental processes relate to macroevolutionary changes?).     

Can't see the colony for the bees: behavioural perspectives of biological individuality

The question ‘what is an individual’ does not often arise in studies within the field of behavioural ecology. Generally behavioural ecologists do not think about what makes an individual because they tend to use intuitive working concepts of individuality. Rarely do they explicitly mention how individuality affects their experimental design and interpretation of results. By contrast, the concept of individuality continues to intrigue philosophers of biology. It is interesting that while philosophers of biology debate definitions of individuality, biologists generally use the concept of individuality every day without much thought. Here we review the philosophical approaches to defining biological individuality, and illustrate how the biological individuality concepts used by biologists are affected by their study question and choice of organism. We clarify the behavioural perspective of biological individuality by introducing the concept of the behavioural individual. The notion of the behavioural individual is particularly interesting when explored in less‐conventional study organisms. By including less‐conventional organisms, it becomes clear why the concept of biological individuality is usually intuitive in behavioural ecology.     

Multi-dimensional correlative imaging of subcellular events: combining the strengths of light and electron microscopy

To genuinely understand how complex biological structures function, we must integrate knowledge of their dynamic behavior and of their molecular machinery. The combined use of light or laser microscopy and electron microscopy has become increasingly important to our understanding of the structure and function of cells and tissues at the molecular level. Such a combination of two or more different microscopy techniques, preferably with different spatial- and temporal-resolution limits, is often referred to as ‘correlative microscopy’. Correlative imaging allows researchers to gain additional novel structure–function information, and such information provides a greater degree of confidence about the structures of interest because observations from one method can be compared to those from the other method(s). This is the strength of correlative (or ‘combined’) microscopy, especially when it is combined with combinatorial or non-combinatorial labeling approaches. In this topical review, we provide a brief historical perspective of correlative microscopy and an in-depth overview of correlative sample-preparation and imaging methods presently available, including future perspectives on the trend towards integrative microscopy and microanalysis.     

To see that which cannot be seen: ontological differences and public health policies in Southern Chile

In this article, I explore different visual practices performed by Pehuenche Indigenous healers and state public health professionals in Southern Chile. While non‐Indigenous health workers seek to make ‘traditional’ Pehuenche healing visible within or alongside their own ‘modern’ practices, Pehuenche people are concerned with making visible the evil spirits whose ‘eating’ of persons produces illness. Focusing in particular on different healing practices triggered by the existence of Pehuenche spiritual illnesses that are ‘seen’ by both Indigenous healers and state professionals, this article discusses how different ontologies ground differences between the Indigenous healers and what they ‘see’; as well as how a broader and substantive binary between Pehuenche and non‐Pehuenche realities goes above and beyond these multiplicities. By exploring and discussing the endurance of Pehuenche cosmo‐political relations in a world inhabited by visible and invisible eaters, I hope to create awareness about how a failure to recognize these different realities limits current multicultural policies in Southern Chile, and Indigenous health policies more broadly. At a more theoretical level, the following ethnographic account sheds light on unresolved tensions between the ways ontological difference has been conceptualized within the so‐called ‘ontological turn’ in anthropology and within the field of Science and Technology Studies (STS).     

Structure brings clarity: Structured illumination microscopy in cell biology

Biological samples are three dimensional and, therefore, optical sectioning is mandatory for microscopic images to precisely show the localization or function of structures within biological samples. Today, researchers can choose from a variety of methods to obtain optical sections. This article focuses on structured illumination microscopy, which is a group of techniques utilizing a combination of optics and mathematics to obtain optical sections: A structure is imaged onto the sample by optical means and the additional information thereby encoded in the image is used to calculate an optical section from several acquired images. Different methods of structured illumination microscopy (mainly grid projection and aperture correlation) are discussed from a practical point of view, concentrating on advantages, limitations and future prospects of these techniques and their use in cell biology. Structured illumination can also be used to obtain super-resolution information if structures of higher frequency are projected onto the sample. This promising approach to super-resolution microscopy is also briefly discussed from a user's perspective.     

Frictions as opportunity: mobilizing for Arab-Bedouin ethnic rights in Israel

The question of how to advance justice for indigenous or marginalized ethnic groups leads to the heart of a polarized debate. We find a widely diffused ‘right to culture’ stance on one hand and a critical, constructivist one on the other. By taking up Tsing's metaphor of ‘zones of friction’, (2005) this article follows the way in which voices and imaginations about Bedouin culture and rights are produced in the conflict over a piece of land in the Negev desert, which is contested between the Israeli authorities and Bedouin representatives. As an imagined inhabitant of the area, ordinary citizens such as Mustafa are fashioned by activists and political tourists in highly culturalist or romanticized ways – images that are distant from the shifting self-representations of Mustafa himself. This case shows how the current emphasis on the ‘right to culture’ creates both new sites of contestation and new spaces for collective action.     

Label-free imaging of lipid dynamics using Coherent Anti-stokes Raman Scattering (CARS) and Stimulated Raman Scattering (SRS) microscopy

The recently developed Coherent Anti-stokes Raman Scattering (CARS) microscopy and Stimulated Raman Scattering (SRS) microscopy have provided new methods to visualize the localization and regulation of biological molecules without the use of invasive and potentially perturbative labels. They allow rapid imaging of specific molecules with high resolution and sensitivity. These tools have been effectively applied to the study of lipid metabolism using Caenorhabditis elegans as a genetic model, unraveling new lipid storage phenotypes and their regulatory mechanisms. Here we review the underlying principle of CARS and SRS microscopy, as well as their recent applications in lipid biology research in C. elegans.     

Does Biology Need an Organism Concept?

Among biologists, there is no general agreement on exactly what entities qualify as ‘organisms’. Instead, there are multiple competing organism concepts and definitions. While some authors think this is a problem that should be corrected, others have suggested that biology does not actually need an organism concept. We argue that the organism concept is central to biology and should not be abandoned. Both organism concepts and operational definitions are useful. We review criteria used for recognizing organisms and conclude that they are not categorical but rather continuously variable. Different organism concepts are useful for addressing different questions, and it is important to be explicit about which is being used. Finally, we examine the origins of the derived state of organismality, and suggest that it may result from positive feedback between natural selection and functional integration in biological entities.     

A computational image analysis glossary for biologists

Recent advances in biological imaging have resulted in an explosion in the quality and quantity of images obtained in a digital format. Developmental biologists are increasingly acquiring beautiful and complex images, thus creating vast image datasets. In the past, patterns in image data have been detected by the human eye. Larger datasets, however, necessitate high-throughput objective analysis tools to computationally extract quantitative information from the images. These tools have been developed in collaborations between biologists, computer scientists, mathematicians and physicists. In this Primer we present a glossary of image analysis terms to aid biologists and briefly discuss the importance of robust image analysis in developmental studies.     

Image analysis in fluorescence microscopy: bacterial dynamics as a case study

Fluorescence microscopy is the primary tool for studying complex processes inside individual living cells. Technical advances in both molecular biology and microscopy have made it possible to image cells from many genetic and environmental backgrounds. These images contain a vast amount of information, which is often hidden behind various sources of noise, convoluted with other information and stochastic in nature. Accessing the desired biological information therefore requires new tools of computational image analysis and modeling. Here, we review some of the recent advances in computational analysis of images obtained from fluorescence microscopy, focusing on bacterial systems. We emphasize techniques that are readily available to molecular and cell biologists but also point out examples where problem-specific image analyses are necessary. Thus, image analysis is not only a toolkit to be applied to new images but also an integral part of the design and implementation of a microscopy experiment.     

New algorithm to determine true colocalization in combination with image restoration and time-lapse confocal microscopy to MAP kinases in mitochondria

The subcellular localization and physiological functions of biomolecules are closely related and thus it is crucial to precisely determine the distribution of different molecules inside the intracellular structures. This is frequently accomplished by fluorescence microscopy with well-characterized markers and posterior evaluation of the signal colocalization. Rigorous study of colocalization requires statistical analysis of the data, albeit yet no single technique has been established as a standard method. Indeed, the few methods currently available are only accurate in images with particular characteristics. Here, we introduce a new algorithm to automatically obtain the true colocalization between images that is suitable for a wide variety of biological situations. To proceed, the algorithm contemplates the individual contribution of each pixel's fluorescence intensity in a pair of images to the overall Pearsońs correlation and Manders' overlap coefficients. The accuracy and reliability of the algorithm was validated on both simulated and real images that reflected the characteristics of a range of biological samples. We used this algorithm in combination with image restoration by deconvolution and time-lapse confocal microscopy to address the localization of MEK1 in the mitochondria of different cell lines. Appraising the previously described behavior of Akt1 corroborated the reliability of the combined use of these techniques. Together, the present work provides a novel statistical approach to accurately and reliably determine the colocalization in a variety of biological images.     

Queueing up for enzymatic processing: correlated signaling through coupled degradation

High‐throughput technologies have led to the generation of complex wiring diagrams as a post‐sequencing paradigm for depicting the interactions between vast and diverse cellular species. While these diagrams are useful for analyzing biological systems on a large scale, a detailed understanding of the molecular mechanisms that underlie the observed network connections is critical for the further development of systems and synthetic biology. Here, we use queueing theory to investigate how ‘waiting lines’ can lead to correlations between protein ‘customers’ that are coupled solely through a downstream set of enzymatic ‘servers’. Using the E. coli ClpXP degradation machine as a model processing system, we observe significant cross‐talk between two networks that are indirectly coupled through a common set of processors. We further illustrate the implications of enzymatic queueing using a synthetic biology application, in which two independent synthetic networks demonstrate synchronized behavior when common ClpXP machinery is overburdened. Our results demonstrate that such post‐translational processes can lead to dynamic connections in cellular networks and may provide a mechanistic understanding of existing but currently inexplicable links.