When You Find Yourself in a Hole, Stop Digging: Comments on Earth Systems Engineering

In an earlier "Forum" article in this journal, Brad Allenby outlined his views of a new approach to managing the unintended consequences of human activity, "earth systems engineering." He argues that we must develop the tools, institutions, and moral and ethical systems to allow us to "assume an active management role for most global systems." I believe this to be a significant departure from a core concept of industrial ecology: learning from ecosystems how the natural world operates to be able to more effectively design and manage coupled human-natural systems. Such lessons are more likely to lead away from tightly managed, centralized approaches, and favor approaches with as little intervention as feasible. More important, I believe that we are far less likely to learn how to implement earth systems engineering than simpler approaches, hence less likely to minimize environmental damage.     

Influenza as a model system for studying the cross-species transfer and evolution of the SARS coronavirus

Severe acute respiratory syndrome coronavirus (SARS-CoV) moved into humans from a reservoir species and subsequently caused an epidemic in its new host. We know little about the processes that allowed the cross-species transfer of this previously unknown virus. I discuss what we have learned about the movement of viruses into humans from studies of influenza A, both how it crossed from birds to humans and how it subsequently evolved within the human population. Starting with a brief review of severe acute respiratory syndrome to highlight the kinds of problems we face in learning about this viral disease, I then turn to influenza A, focusing on three topics. First, I present a reanalysis of data used to test the hypothesis that swine served as a "mixing vessel" or intermediate host in the transmission of avian influenza to humans during the 1918 "Spanish flu" pandemic. Second, I review studies of archived viruses from the three recent influenza pandemics. Third, I discuss current limitations in using molecular data to study the evolution of infectious disease. Although influenza A and SARS-CoV differ in many ways, our knowledge of influenza A may provide important clues about what limits or favours cross-species transfers and subsequent epidemics of newly emerging pathogens.     

Can an Engineer Fix an Immune System?–Rethinking theoretical biology

In an instant classic paper (Lazebnik, in Cancer Cell 2(3); 2002: 179–182) biologist Yuri Lazebnik deplores the poor effectiveness of the approach adopted by biologists to understand and “fix” biological systems. Lazebnik suggests that to remedy this state of things biologist should take inspiration from the approach used by engineers to design, understand, and troubleshoot technological systems. In the present paper I substantiate Lazebnik’s analysis by concretely showing how to apply the engineering approach to biological problems. I use an actual example of electronic circuit troubleshooting to ground the thesis that, in engineering, the crucial phases of any non-trivial troubleshooting process are aimed at generating a mechanistic explanation of the functioning of the system, which makes extensive recourse to problem-driven qualitative reasoning possibly based on cognitive artifacts applied to systems that are known to have been designed for function. To show how to translate these findings into biological practice I consider a concrete example of biological model building and “troubleshooting”, aimed at the identification of a “fix” for the human immune system in presence of progressing cancer, autoimmune disease, and transplant rejection. The result is a novel immune system model—the danger model with regulatory cells— and new, original hypotheses concerning the development, prophylaxis, and therapy of these unwanted biological processes. Based on the manifest efficacy of the proposed approach, I suggest a refocusing of the activity of theoretical biologists along the engineering-inspired lines illustrated in the paper.     

Bayesian natural selection and the evolution of perceptual systems

In recent years, there has been much interest in characterizing statistical properties of natural stimuli in order to better understand the design of perceptual systems. A fruitful approach has been to compare the processing of natural stimuli in real perceptual systems with that of ideal observers derived within the framework of Bayesian statistical decision theory. While this form of optimization theory has provided a deeper understanding of the information contained in natural stimuli as well as of the computational principles employed in perceptual systems, it does not directly consider the process of natural selection, which is ultimately responsible for design. Here we propose a formal framework for analysing how the statistics of natural stimuli and the process of natural selection interact to determine the design of perceptual systems. The framework consists of two complementary components. The first is a maximum fitness ideal observer, a standard Bayesian ideal observer with a utility function appropriate for natural selection. The second component is a formal version of natural selection based upon Bayesian statistical decision theory. Maximum fitness ideal observers and Bayesian natural selection are demonstrated in several examples. We suggest that the Bayesian approach is appropriate not only for the study of perceptual systems but also for the study of many other systems in biology.     

Genetics of the human metabolome,what is next?

Increases in throughput and decreases in costs have facilitated large scale metabolomics studies, the simultaneous measurement of large numbers of biochemical components in biological samples. Initial large scale studies focused on biomarker discovery for disease or disease progression and helped to understand biochemical pathways underlying disease. The first population-based studies that combined metabolomics and genome wide association studies (mGWAS) have increased our understanding of the (genetic) regulation of biochemical conversions. Measurements of metabolites as intermediate phenotypes are a potentially very powerful approach to uncover how genetic variation affects disease susceptibility and progression. However, we still face many hurdles in the interpretation of mGWAS data. Due to the composite nature of many metabolites, single enzymes may affect the levels of multiple metabolites and, conversely, levels of single metabolites may be affected by multiple enzymes. Here, we will provide a global review of the current status of mGWAS. We will specifically discuss the application of prior biological knowledge present in databases to the interpretation of mGWAS results and discuss the potential of mathematical models. As the technology continuously improves to detect metabolites and to measure genetic variation, it is clear that comprehensive systems biology based approaches are required to further our insight in the association between genes, metabolites and disease. This article is part of a Special Issue entitled: From Genome to Function.     

The Semiosis of “Side Effects” in Genetic Interventions

Genetic interventions, which include transgenic engineering, gene editing, and other forms of genome modification aimed at altering the information “in” the genetic code, are rapidly increasing in power and scale. Biosemiotics offers unique tools for understanding the nature, risks, scope, and prospects of such technologies, though few in the community have turned their attention specifically in this direction. Bruni (2003, 2008) is an important exception. In this paper, I examine how we frame the concept of “side effects” that result from genetic interventions and how the concept stands up to current perspectives of the role of organism activity in development. I propose that once the role of living systems in constructing and modifying the informational value of their various developmental resources is taken into account, the concept of a “side effect” will need to be significantly revised. Far from merely a disturbance brought about in a senseless albeit complex system, a biosemiotic view would take “side effects” as at least sometimes the organism’s active re-organization in order to accommodate or make use of novelty. This insight is nascent in the work of developmental plasticity and niche construction theory (West-Eberhard 2003; Odling-Smee et al. 2003), but it is brought into sharper focus by the explicitly interpretive perspective offered by biosemiotics. Understanding the “side effects” of genetic interventions depends in part on being able to articulate when and where unexpected consequences are a result of semiotic activity at various levels within the system. While a semiotic interpretation of “side effects” puts into question the naive attitude that would see all unintended side effects as indications of disturbance in system functionality, it certainly does not imply that such side effects are of no concern for the viability of the organisms in the system. As we shall see, the fact that such interventions do not respect the translation of information that occurs in multi-level biological systems ensures that disruption is still likely. But it does unprivilege the human agent as the sole generator of meaning and information in the products of biotechnology, with important consequences on how we understand our relationship with other species.     

View from the boundary

Re-implementing biological mechanisms on robots not only has technological application but can provide a unique perspective on the nature of sensory processing in animals. To make a robot work, we need to understand the function as part of an embodied, behaving system. I argue that this perspective suggests that the terms "representation" and "information processing" can be misleading when we seek to understand how neurobiological mechanisms carry out perceptual processes. This argument is presented here with reference to a robot model of cricket behavior, which has demonstrated competence comparable to that of the insect, but utilizes surprisingly simple central processing. Instead it depends on sensory interfaces that are well matched to the task, and on the link between environment, action, and perception.     

Regulation of sexual plasticity in a nematode that produces males, females, and hermaphrodites

The mechanisms by which new modes of reproduction evolve remain important unsolved puzzles in evolutionary biology. Nematode worms are ideal for studying the evolution of mating systems because the phylum includes both a large range of reproductive modes and large numbers of evolutionarily independent switches [1, 2]. Rhabditis sp. SB347, a nematode with sexual polymorphism, produces males, females, and hermaphrodites [3]. To understand how the transition between mating systems occurs, we characterized the mechanisms that regulate female versus hermaphrodite fate in Rhabditis sp. SB347. Hermaphrodites develop through an obligatory nonfeeding juvenile stage, the dauer larva. Here we show that by suppressing dauer formation, Rhabditis sp. SB347 develops into females. Conversely, larvae that under optimal growth conditions develop into females can be respecified toward hermaphroditic development if submitted to dauer-inducing conditions. These results are of significance to understanding the evolution of complex mating systems present in parasitic nematodes.     

Emerging roles for centromeres in meiosis I chromosome segregation

Centromeres are an essential and conserved feature of eukaryotic chromosomes, yet recent research indicates that we are just beginning to understand the numerous roles that centromeres have in chromosome segregation. During meiosis I, in particular, centromeres seem to function in many processes in addition to their canonical role in assembling kinetochores, the sites of microtubule attachment. Here we summarize recent advances that place centromeres at the centre of meiosis I, and discuss how these studies affect a variety of basic research fields and thus hold promise for increasing our understanding of human reproductive defects and disease states.     

A path to the powerhouse: systems‐to‐structure approaches for studying mitochondrial proteins

The young investigator award from the Protein Society was a special honor for me because, at its essence, the goal of my laboratory is to define what obscure proteins do. Years ago, I stumbled into mitochondria as a venue for this work, and these organelles continue to define the biological theme of my laboratory. Our approaches are fairly broad, reflecting my own somewhat unorthodox training among diverse scientific fields spanning organic synthesis, chemical biology, mechanistic biochemistry, signal transduction, and systems biology. Yet, whatever the theme or the discipline, we aim to understand how proteins work—especially those that hide in the dark corners of mitochondria. Below, I recount my own path into this arena of protein science, and describe how my experiences along the way have shaped our current multi‐disciplinary efforts to define the inner workings of this complex biological system.     

Color pattern analysis of nymphalid butterfly wings: revision of the nymphalid groundplan

To better understand the developmental mechanisms of color pattern variation in butterfly wings, it is important to construct an accurate representation of pattern elements, known as the "nymphalid groundplan". However, some aspects of the current groundplan remain elusive. Here, I examined wing-wide elemental patterns of various nymphalid butterflies and confirmed that wing-wide color patterns are composed of the border, central, and basal symmetry systems. The central and basal symmetry systems can express circular patterns resembling eyespots, indicating that these systems have developmental mechanisms similar to those of the border symmetry system. The wing root band commonly occurs as a distinct symmetry system independent from the basal symmetry system. In addition, the marginal and submarginal bands are likely generated as a single system, referred to as the "marginal band system". Background spaces between two symmetry systems are sometimes light in coloration and can produce white bands, contributing significantly to color pattern diversity. When an element is enlarged with a pale central area, a visually similar (yet developmentally distinct) white band is produced. Based on the symmetric relationships of elements, I propose that both the central and border symmetry systems are comprised of "core elements" (the discal spot and the border ocelli, respectively) and a pair of "paracore elements" (the distal and proximal bands and the parafocal elements, respectively). Both core and paracore elements can be doubled, or outlined. Developmentally, this system configuration is consistent with the induction model, but not with the concentration gradient model for positional information.     

Transference of Action as a Function of Intellect: A Study of the Intellectual Activity of the Child Using a Variable Problem Box

To help the reader understand the strangeness and absurdity of the tradition of ignoring the work of Shpet, I shall start with his reflections on the classic problem of thought and word, with which all the psychologists mentioned above have dealt. When he says that the cause of thought is sensuously given, Shpet defines it as a springboard from which we vault to the "pure object":

Having pushed off the springboard, thought must not only overcome material resistance but also use it as a supporting medium. If it had to drag along its entire corporeal [veshchnyi] baggage, it would not go far. But, by that same token, it would not survive in an ideal environment, whether in an absolute vacuum or in absolute formlessness, i.e., without expedient adaptation of its form to that environment. Its image, form, appearance, and ideal flesh are the word.     

The evolutionary roots of our environmental problems: toward a Darwinian ecology

It is widely acknowledged that we need to stabilize population growth and reduce our environmental impact; however, there is little consensus about how we might achieve these changes. Here I show how evolutionary analyses of human behavior provide important, though generally ignored, insights into our environmental problems. First, I review increasing evidence that Homo sapiens has a long history of causing ecological problems. This means that, contrary to popular belief, our species' capacity for ecological destruction is not simply due to "Western" culture. Second, I provide an overview of how evolutionary research can help to understand why humans are ecologically destructive, including the reasons why people often overpopulate, overconsume, exhaust common-pool resources, discount the future, and respond maladaptively to modern environmental hazards. Evolutionary approaches not only explain our darker sides, they also provide insights into why people cherish plants and animals and often support environmental and conservation efforts (e.g., Wilson's "biophilia hypothesis"). Third, I show how evolutionary analyses of human behavior offer practical implications for environmental policy, education, and activism. I suggest that education is necessary but insufficient because people also need incentives. Individual incentives are likely to be the most effective, but these include much more than narrow economic interests (e.g., they include one's reputation in society). Moralizing and other forms of social pressure used by environmentalists to bring about change appear to be effective, but this idea needs more research. Finally, I suggest that integrating evolutionary perspectives into the environmental sciences will help to break down the artificial barriers that continue to divide the biological and social sciences, which unfortunately obstruct our ability to understand ourselves and effectively address our environmental problems.     

Quantifying your body: A how-to guide from a systems biology perspective

During the coming decade we will see an accelerated digital transformation of healthcare. Leading this change within the institutional medical community are both the move to digital medical records and the use of digital biomedical measurement devices. In addition to this institutional evolution, there is a non-institutional, bottom-up, unorganized, highly idiosyncratic movement by early adopters to "quantify" their own bodies. In this article, I share my decade-long personal experience of tracking many blood and stool biomarkers, which provide insight into the health or disease of major subsystems of my body. These results are interpreted in the context of the genetics of my human DNA and that of the microbes in my gut. Even though I am a computer scientist and not a medical professional, by using commercially available tests and a systems biology integrative approach, I have become an early example of Leroy Hood's vision of the emergence of predictive, preventive, personalized, and participatory (P4) medicine. It is an individual's story illustrating how each of us can contribute to realizing this paradigm shift.     

Protein nanomechanics in biological context

How proteins respond to pulling forces, or protein nanomechanics, is a key contributor to the form and function of biological systems. Indeed, the conventional view that proteins are able to diffuse in solution does not apply to the many polypeptides that are anchored to rigid supramolecular structures. These tethered proteins typically have important mechanical roles that enable cells to generate, sense, and transduce mechanical forces. To fully comprehend the interplay between mechanical forces and biology, we must understand how protein nanomechanics emerge in living matter. This endeavor is definitely challenging and only recently has it started to appear tractable. Here, I introduce the main in vitro single-molecule biophysics methods that have been instrumental to investigate protein nanomechanics over the last 2 decades. Then, I present the contemporary view on how mechanical force shapes the free energy of tethered proteins, as well as the effect of biological factors such as post-translational modifications and mutations. To illustrate the contribution of protein nanomechanics to biological function, I review current knowledge on the mechanobiology of selected muscle and cell adhesion proteins including titin, talin, and bacterial pilins. Finally, I discuss emerging methods to modulate protein nanomechanics in living matter, for instance by inducing specific mechanical loss-of-function (mLOF). By interrogating biological systems in a causative manner, these new tools can contribute to further place protein nanomechanics in a biological context.     

The nuclear matrix: a heuristic model for investigating genomic organization and function in the cell nucleus.

Despite significant advances in deciphering the molecular events underlying genomic function, our understanding of these integrated processes inside the functioning cell nucleus has, until recently, met with only very limited success. A major conundrum has been the "layers of complexity" characteristic of all cell structure and function. To understand how the cell nucleus functions, we must also understand how the cell nucleus is put together and functions as a whole. The value of this neo-holistic approach is demonstrated by the enormous progress made in recent years in identifying a wide variety of nuclear functions associated with the nuclear matrix. In this article we summarize basic properties of in situ nuclear structure, isolated nuclear matrix systems, nuclear matrix-associated functions, and DNA replication in particular. Emphasis is placed on identifying current problems and directions of research in this field and illustrating the intrinsic heuristic value of this global approach to genomic organization and function.     

A mechanism and its metaphysics: An evolutionary account of the social and conceptual development of science

The claim that conceptual systems change is a platitude. That our conceptual systems are theory-laden is no less platitudinous. Given evolutionary theory, biologists are led to divide up the living world into genes, organisms, species, etc. in a particular way. No theory-neutral individuation of individuals or partitioning of these individuals into natural kinds is possible. Parallel observations should hold for philosophical theories about scientific theories. In this paper I summarize a theory of scientific change which I set out in considerable detail in a book that I shall publish in the near future. Just as few scientists were willing to entertain the view that species evolve in the absence of a mechanism capable of explaining this change, so philosophers should be just as reticent about accepting a parallel view of conceptual systems in science evolving in the absence of a mechanism to explain this evolution. In this paper I set out such a mechanism. One reason that this task has seemed so formidable in the past is that we have all construed conceptual systems inappropriately. If we are to understand the evolution of conceptual systems in science, we must interpret them as forming lineages related by descent. In my theory, the notion of a family resemblance is taken literally, not metaphorically. In my book, I set out data to show that the mechanism which I propose is actually operative. In this paper, such data is assumed.I wish to thank both Michael Ruse and Ronald Giere for suggesting improvements in an early draft of this paper. This paper is an abstract of a very long book. The number of people who helped me in developing the ideas set out in this book is extremely large, so large that I decided to defer expressing my gratitude to them until its appearance.     

"Actually, I don't feel that bad": managing diabetes and the clinical encounter

A major issue for persons treating and managing adult-onset diabetes (NIDDM) is the "problem of compliance." I consider the clinical encounter in the overall context of diabetes management as a punctuated experience focused on the cultivation of an ideal self whose "technologies" and "ethics of self-care" mimic a capitalist logic that links self-discipline, productivity, and health. Both clinicians and their patients share and identify with many of the cultural referents and social values that circulate through medical advice and practice. However, using individual examples, I show how this shared logic can produce idiosyncratic regimes of self-care and clinical practice that result in hybrid medical practices incorporating differing objectives and emphases concerned with a tolerable present or an ideal future. Rather than organizing principles for research and medical practice, I suggest that medical compliance and noncompliance should be considered part of the rhetoric to be explained within the regimes of a pursuit of health.     

Uncovering the biodiversity of genetic and reproductive systems: time for a more open approach. American Society of Naturalists E. O. Wilson Award winner address

Important scientific findings frequently arise from serendipitous findings. Unfortunately, many scientists are not prepared to take advantage of unexpected results and to question established paradigms, and this prevents them from capitalizing on their good fortune. In this essay, I first explain how pure serendipity led us to discover unusual modes of reproduction such as clonal reproduction by males and a green-beard gene. Next, I argue that the reproductive systems of ants and other organisms are probably much more diverse than is generally appreciated. This leads me to advocate for a new "molecular naturalist" approach to reproductive systems and a more "naturalistic" approach in population and evolutionary genetics. Finally, I make two further points. The first is that our current funding and education systems tend to hinder originality and curiosity. The other is that the field of ecology and evolution, and more generally all of science, would benefit from a shift in values from scientific productivity to scientific creativity. A few suggestions are made to this effect.