Rebooting Bioresilience: A Multi-OMICS Approach to Tackle Global Catastrophic Biological Risks and Next-Generation Biothreats

Historical microbiology: researching past bioevents by integrating scholarship (re)sources with paleomicrobiology assets

The analysis of past epidemics and pandemics, either spontaneous or of human origin, may revise the physical history of microbiota and create a temporal context in our understanding regarding pathogen attributes like virulence, evolution, transmission and disease dynamics. The data of high-tech scientific methods seem reliable, but their interpretation may still be biased when tackling events of the distant past. Such endeavors should be adjusted to other cognitive resources including historical accounts reporting the events of interest and references in alien medical cultures and terminologies; the latter may contextualize them differently from current practices. Thus 'historical microbiology' emerges. Validating such resources requires utmost care, as these may be susceptible to different biases regarding the interpretation of facts and phenomena; biases partly due to methodological limitations.

Global Catastrophic Biological Risks in the Post-COVID-19 World: Time to Act Is Now

Global Catastrophic Biological Risks (GCBRs) refer to events with biological agents that can result in unprecedented or catastrophic disasters that are beyond the collective response-abilities of nation-states and the existing governance instruments of global governance and international affairs. This article offers a narrative review, with a view to new hypothesis development to rethink GCBRs after coronavirus disease 2019 (COVID-19) so as to better prepare for future pandemics and ecological crises, if not to completely prevent them. To determine GCBRs' spatiotemporal contexts, define causality, impacts, differentiate the risk and the event, would improve theorization of GCBRs compared to the impact-centric current definition. This could in turn lead to improvements in preparedness, response, allocation of resources, and possibly deterrence, while actively discouraging lack of due biosecurity diligence. Critical governance of GCBRs in ways that unpack the political power-related dimensions could be particularly valuable because the future global catastrophic events might be different in quality, scale, and actors. Theorization of GCBRs remains an important task going forward in the 21st century in ways that draw from experiences in the field, while integrating flexibility, versatility, and critically informed responses to GCBRs.

Can Water-Only DNA Extraction Reduce the Logistical Footprint of Biosurveillance and Planetary Health Diagnostics? Toward a New Method

The coronavirus disease-2019 (COVID-19) pandemic has raised the stakes for planetary health diagnostics. Because pandemics pose enormous burdens on biosurveillance and diagnostics, reduction of the logistical burdens of pandemics and ecological crises is essential. Moreover, the disruptive effects of catastrophic bioevents impact the supply chains in both highly populated urban centers and rural communities. One "upstream" focus of methodological innovation in biosurveillance is the footprint of Nucleic Acid Amplification Test (NAAT)-based assays. We report in this study a water-only DNA extraction, as an initial step in developing future protocols that may require few expendables, and with low environmental footprints, in terms of wet and solid laboratory waste. In the present work, boiling-hot distilled water was used as the main cell lysis agent for direct polymerase chain reactions (PCRs) on crude extracts. After evaluation (1) in blood and mouth swabs for human biomarker genotyping, and (2) in mouth swabs and plant tissue for generic bacterial or fungal detection, and using different combinations of extraction volume, mechanical assistance, and extract dilution, we found the method to be applicable in low-complexity samples, but not in high-complexity ones such as blood and plant tissue. In conclusion, this study examined the doability of a lean approach for template extraction in the case of NAAT-based diagnostics. Testing our approach with different biosamples, PCR settings, and instruments, including portable ones for COVID-19 or dispersed applications, warrant further research. Minimal resources analysis is a concept and practice, vital and timely for biosurveillance, integrative biology, and planetary health in the 21st century.

Science in One Health: A new journal with a new approach

One Health recognizes the close links and interdependence among human health, animal health and environmental health. With the pandemic of COVID-19 and the risk of many emerging or reemerging infectious diseases of zoonotic nature as well as the spreading antimicrobial resistance, One Health has become one of top concerns globally, as it entails the essential global public health challenges from antimicrobial resistance over zoonoses, to climate change, food security and societal well-being. Research priorities in One Health include the study on interactions of human-animal-plants-nature ecology interface, systems thinking, integrated surveillance and response systems, and the overall One Health governance as part of the global health and sustainability governance. The now launched journal, Science in One Health, aims to be a resource platform that disseminates scientific evidence, knowledge, and tools on the One Health approaches and respective possible socio-ecological interventions. Thus, aims at providing fruitful exchanges of information and experience among researchers, and decision makers as well as public health actors.

Beyond the Microbiome: Germ-ganism? An Integrative Idea for Microbial Existence, Organization, Growth, Pathogenicity, and Therapeutics

The advances made by microbiome research call for new vocabulary and expansion of our thinking in microbiology. For example, the life-forms presenting in both unicellular and multicellular formats invite us to rethink microbial existence, organization, growth, pathogenicity, and therapeutics in the 21st century. A view of such populations as parts of single organisms with a loose, distributed multicellular organization, introduced here as a germ-ganism, rather than communities, might open up interesting prospects for diagnostics and therapeutics innovation. This study tested and further contextualized the concept of germ-ganism using solid cultures of bacteria and fungi. Based on our findings and the literature reviewed herein, we propose that germ-ganism has synergy with a systems medicine approach by broadening host-environment interactions from cells and microorganisms to a scale of biological ecosystems. Germ-ganism also brings about the possibility of studying the multilevel impacts of novel therapeutic agents within and across networks of microbial ecosystems. The germ-ganism would lend itself, in the long term, to a veritable biocybernetics system, while in the mid-term, we anticipate it will contribute to new diagnostics and therapeutics. Biosecurity applications would be immensely affected by germ-ganism. Industrial applications of germ-ganism are of interest as a more sustainable alternative to costly solutions such as tampered strains/microorganisms. In conclusion, germ-ganism is informed by lessons from microbiome research and invites rethinking microbial existence, organization, and growth as an organism. Germ-ganism has vast ramifications for understanding pathogenicity, and clinical, biosecurity, and biotechnology applications in the current historical moment of the COVID-19 pandemic and beyond.

Fast, Scalable, and Practical: An Alkaline DNA Extraction Pipeline for Emergency Microbiomics Biosurveillance

Pandemics and environmental crises evident from the first two decades of the 21st century call for methods innovation in biosurveillance and early detection of risk signals in planetary ecosystems. In crises conditions, conventional methods in public health, biosecurity, and environmental surveillance do not work well. In addition, the standard laboratory amenities and procedures may become unavailable, irrelevant, or simply not feasible, for example, owing to disruptions in logistics and process supply chains. The COVID-19 pandemic has been a wakeup call in this sense to reintroduce point-of-need diagnostics with an eye to limited resource settings and biosurveillance solutions. We report here a methodology innovation, a fast, scalable, and alkaline DNA extraction pipeline for emergency microbiomics biosurveillance. We believe that the presented methodology is well poised for effective, resilient, and anticipatory responses to future pandemics and ecological crises while contributing to microbiome science and point-of-need diagnostics in nonelective emergency contexts. The alkaline DNA extraction pipeline can usefully expand the throughput in emergencies by deployment or to allow backup in case of instrumentation failure in vital facilities. The need for distributed public health genomics surveillance is increasingly evident in the 21st century. This study makes a contribution to these ends broadly, and for future pandemic preparedness in particular. We call for innovation in biosurveillance methods that remain important existentially on a planet under pressure from unchecked human growth and breach of the boundaries between human and nonhuman animal habitats.

Experimental and Computational Approaches to Improve Binding Affinity in Chemical Biology and Drug Discovery

Drug discovery is one of the most complicated processes and establishment of a single drug may require multidisciplinary attempts to design efficient and commercially viable drugs. The main purpose of drug design is to identify a chemical compound or inhibitor that can bind to an active site of a specific cavity on a target protein. The traditional drug design methods involved various experimental based approaches including random screening of chemicals found in nature or can be synthesized directly in chemical laboratories. Except for the long cycle design and time, high cost is also the major issue of concern. Modernized computer-based algorithm including structure-based drug design has accelerated the drug design and discovery process adequately. Surprisingly from the past decade remarkable progress has been made concerned with all area of drug design and discovery. CADD (Computer Aided Drug Designing) based tools shorten the conventional cycle size and also generate chemically more stable and worthy compounds and hence reduce the drug discovery cost. This special edition of editorial comprises the combination of seven research and review articles set emphasis especially on the computational approaches along with the experimental approaches using a chemical synthesizing for the binding affinity in chemical biology and discovery as a salient used in de-novo drug designing. This set of articles exfoliates the role that systems biology and the evaluation of ligand affinity in drug design and discovery for the future.

Questioning Estimates of Natural Pandemic Risk

The central argument in this article is that the probability of very large natural pandemics is more uncertain than either previous analyses or the historical record suggest. In public health and health security analyses, global catastrophic biological risks (GCBRs) have the potential to cause "sudden, extraordinary, widespread disaster," with "tens to hundreds of millions of fatalities." Recent analyses focusing on extreme events presume that the most extreme natural events are less likely than artificial sources of GCBRs and should receive proportionately less attention. These earlier analyses relied on an informal Bayesian analysis of naturally occurring GCBRs in the historical record and conclude that the near absence of such events demonstrates that they are rare. This ignores key uncertainties about both selection biases inherent in historical data and underlying causes of the nonstationary risk. The uncertainty is addressed here by first reconsidering the assumptions in earlier Bayesian analyses, then outlining a more complete analysis accounting for several previously omitted factors. Finally, relationships are suggested between available evidence and the uncertain question at hand, allowing more rigorous future estimates.

Humanome Versus Microbiome: Games of Dominance and Pan-Biosurveillance in the Omics Universe

Global governance of pathogens such as Ebola virus and infectious diseases is central to global health, and to innovation in systems medicine. Worrisomely, the gaps in human immunity and healthcare services combined with novel pathogens emerging by travel, biotechnological advances, or the rupture of the host-species barrier challenge infectious diseases' global governance. Such biorisks and biothreats may scale up to global catastrophic biological risks (GCBRs) spatiotemporally, either as individual or as collective risks. The scale and intensity of such threats challenge current thinking on surveillance, and calls for a move toward pan-biosurveillance. New multilayered, cross-sectoral, and adaptable strategies of prevention and intervention on GCBRs should be developed, considering human hosts in entirety, and in close relationship with other hosts (plants and animals). This also calls for the "Humanome," which we introduce in this study as the totality of human subjects plus any directly dependent biological or nonbiological entities (products, constructs, and interventions). Surveillance networks should be implemented by integrating communications, diagnostics, and robotics/aeronautics technologies. Suppression of pathogens must be enforced both before and during an epidemic outbreak, the former allowing more drastic measures before the pathogens harbor the host. We propose in this expert review that microbiome-level intervention might particularly prove as an effective solution in medical and environmental scales against traditional, currently emerging, and future infectious threats. We conclude with a discussion on the ways in which the humanome and microbiome contest and cooperate, and how this knowledge might usefully inform in addressing the GCBRs, bioterrorism, and associated threats in the pursuit of pan-biosurveillance.