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For more than 20 years, genome editing has been one of the numerous technologies developed for the study and manipulation of the genome. However, since the relatively recent appearance of the so-called precision approaches, and especially through the “CRISPR revolution,” the modification of the genome of any living beings on our planet has become possible, despite recent results showing some unexpected and undesirable effects of this technology. The objective of this chapter is to illustrate how a mobilization of the scientific community through the setting-up of an association should allow a responsible and ethical use of these technologies with considerable impacts for our society.

This study analyzes the rise of genome instability in the life sciences and traces the problematic of instability as it relates to the sociology of health. Genome instability is the study of how genomes change and become variable between generations and within organisms over the life span. Genome instability reflects a significant departure from the Platonic genome imagined during the Human Genome Project. The aim of this chapter is to explain and analyze research on copy number variation and somatic mosaicism to consider the implications of these sciences for sociologists interested in genomics.

This chapter draws on two multi-sited ethnographies of contemporary biomedical science and literature in the sociology of health, science, and biomedicine to document a shift in thinking about the genome from fixed and universal to highly variable and influenced by time and context.

Genomic instability has become a framework for addressing how genomes change and become variable between generations and within organisms over the life span. Instability is a useful framework for analyzing changes in the life sciences in the post-genomic era.

Genome instability requires life scientists to address how differences both within and between individuals articulate with shifting disease categories and classifications. For sociologists, these findings have implications for studies of identity, sociality, and clinical experience.

This is the first sociological analysis of genomic instability. It identifies practical and conceptual implications of genomic instability for life scientists and helps sociologists delineate new approaches to the study of genomics in the post-genomic era.

In evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.

A new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.

The framework is capable of robustly evolving the benchmark behaviors. The memory genome and the number of parents for reproduction highly influence the quality of the results; the recombination operator leads to an improvement in certain parameter combinations only.

Future studies should focus on further improving mutation and recombination. Generality statements should be made by studying more behaviors and there is a need for experimental studies with real robots.

The design of decentralized ER frameworks is improved.

The framework is robust and has the advantage that the resulting controllers are easier to analyze than in approaches based on artificial neural networks. The findings suggest improvements in the general design of decentralized ER frameworks.

The purpose of this paper is to understand genomics scientists’ perceptions in data quality assurances based on their domain knowledge.

The study used a survey method to collect responses from 149 genomics scientists grouped by domain knowledge. They ranked the top-five quality criteria based on hypothetical curation scenarios. The results were compared using χ2 test.

Scientists with domain knowledge of biology, bioinformatics, and computational science did not reach a consensus in ranking data quality criteria. Findings showed that biologists cared more about curated data that can be concise and traceable. They were also concerned about skills dealing with information overloading. Computational scientists on the other hand value making curation understandable. They paid more attention to the specific skills for data wrangling.

This study takes a new approach in comparing the data quality perceptions for scientists across different domains of knowledge. Few studies have been able to synthesize models to interpret data quality perception across domains. The findings may help develop data quality assurance policies, training seminars, and maximize the efficiency of genome data management.

Business innovation comes from combining, recombining and modifying existing ideas, knowledge and know‐how in new ways. The purpose of this paper is to describe an approach to accelerating the business innovation process by priming the combining and recombining process, called the Business Genome Project (BGP).

Business innovation and evolution is compared to cultural and biological evolution and the Human Genome Project (HGP) is used as a template for developing the business genome concept, which involves identifying and mapping the building blocks of extant businesses.

The paper describes a way of priming the innovation pump by aiding the identification and sharing of key business ideas, knowledge and know‐how across firms, organisations, industries, technologies and nations. Recent developments in internet‐based technologies, like Wikipedia and the Encyclopedia of Life, suggest the project is feasible.

The BGP can provide a fundamental, new understanding of the commercial world: its businesses, their know‐how, their context and their cultures. It also provides a basis for on‐going collaboration, communication, research and development, amongst businesses (and their stakeholders), which would accelerate the innovation process.

The BGP is an original idea inspired by the HGP that promises to have a similar impact on business practice, policy and research.

On the basis of the Collective Intelligence Genome framework, which was developed to describe private, for profit ventures, this study aims to review the recent public sector initiatives launched by the American federal government and the European Union. The study's goal is to examine if, and how, the Genome construct would apply to not for profit.

This paper builds on an existing classification methodology for collective intelligence initiatives and extends it to pubic sector initiatives.

The findings suggest that, although the framework offers a generally good fit, it does not fully address all the factors at play and the paper proposes expanding the gene pool. In addition, it confirms that Collective Intelligence initiatives do indeed co‐create value and conform to the emerging services dominant logic concept.

With the growing success of profit motivated internet‐based collaborative ventures, including Innocentive, VenCorps, Threadless and many others, governments have taken notice and engaged. Recent public sector initiatives, including Open.gov, Peer 2 Patent, innovation.ED.gov among others, have begun to leverage collaborative internet media through similar means. These initiatives not only engage a broader community in the co‐creation of value, but also foster what has been termed as Collective Intelligence. This paper details one of the first forays into what might be termed sense making within the public sector usage of Collective Intelligence using the Genome framework and, as such, provides researchers and practitioners with a means of assessing value, potential impact and making comparisons.

This study aims to study the distribution characteristics of antibiotic resistance in direct-eating food and analysis of Citrobacter freundii genome and pathogenicity. Residual antibiotics and antibiotic resistance genes (ARGs) in the environment severely threaten human health and the ecological environment. The diseases caused by foodborne pathogenic bacteria are increasing daily, and the enhancement of antibiotic resistance of pathogenic bacteria poses many difficulties in the treatment of disease.

In this study, six fresh fruits and vegetable samples were selected for isolation and identification of culturable bacteria and analysis of antibiotic resistance. The whole genome of Citrobacter freundii isolated from cucumber was sequenced and analyzed by Oxford Nanopore sequencing.

The results show that 270 strains of bacteria were identified in 6 samples. From 12 samples of direct food, 2 kinds of probiotics and 10 kinds of opportunistic pathogens were screened. The proportion of Citrobacter freundii screened from cucumber was significantly higher than that from other samples, and it showed resistance to a variety of antibiotics. Whole genome sequencing showed that Citrobacter freundii was composed of a circular chromosome containing signal peptides, transmembrane proteins and transporters that could induce antibiotic efflux, indicating that Citrobacter freundii had strong adaptability to the environment. The detection of genes encoding carbohydrate active enzymes is more beneficial to the growth and reproduction of Citrobacter freundii in crops. A total of 29 kinds of ARGs were detected in Citrobacter freundii, mainly conferring resistance to fluoroquinolones, aminoglycosides, carbapenem, cephalosporins and macrolides. The main mechanisms are the change in antibiotic targets and efflux pumps, the change in cell permeability and the inactivation of antibiotics and the detection of virulence factors and ARGs, further indicating the serious risk to human health.

The detection of genomic islands and prophages increases the risk of horizontal transfer of virulence factors and ARGs, which spreads the drug resistance of bacteria and pathogenic bacteria more widely.

This chapter explores the rise in genetic approaches to health disparities at the turn of the twenty-first century.

Analysis of public health policies, genome project records, ethnography of project leaders and leading genetic epidemiologists, and news coverage of international projects demonstrates how the study of health disparities and genetic causes of health simultaneously took hold just as the new field of genomics and matters of racial inequality became a global priority for biomedical science and public health.

As the U.S. federal government created policies to implement racial inclusion standards, international genome projects seized the study race, and diseases that exhibit disparities by race. Genomic leaders made health disparities research a central feature of their science. However, recent attempts to move toward analysis of gene-environment interactions in health and disease have proven insufficient in addressing sociological contributors to health disparities. In place of in-depth analyses of environmental causes, pharmacogenomics drugs, diagnostics, and inclusion in sequencing projects have become the frontline solutions to health disparities.

The chapter argues that genetic forms of medicalization and racialization have taken hold over science and public health around the world, thereby engendering a divestment from sociological approaches that do not align with the expansion of genomic science. The chapter thus contributes to critical discussions in the social and health sciences about the fundamental processes of medicalization, racialization, and geneticization in contemporary society.

Discusses the Human Genome Project, which aims to map the structure and function of approximately 100,000 genes in the human body. Describes some of the ethical and legal problems of genomic research, pointing out that such research presents both promise and problems and that it must be conducted according to well‐defined, rational rules if human rights are to be protected. Calls for a multidisciplinary involvement, both nationally and internationally, in the establishment of the necessary laws; and exhorts Australia and New Zealand, which have hitherto remained largely uninvolved, to make a larger contribution both towards the debate and towards funding for the project.

The chapter analyses the re-emergence of gene editing as an object of policy attention at the European Union (EU) level. Editing the genome of plants and/or animals has been a rather controversial component of all EU policies on agricultural biotechnology since the late 1980s. The chapter examines in detail the various initiatives that have been assumed for the regulation of gene editing at the EU level. Since the first political and legislative attempts, the field has been revolutionized with the development of the CRISPR-Cas9 system, which is comparatively much easier to design, produce, and use. Beyond the pure, safety-driven scientific questions, gene editing, in its contemporary form, raises a series of ethical and regulatory questions that are discussed in the context of the legal options and competences of the EU legislators. Special attention is paid to questions about the legal status of gene editing in Europe and the adequacy of the current GMO framework to deal with all the challenges associated with the latest scientific developments in the field of gene editing with a special focus on gene drive. Given the ongoing discussions regarding the ethical tenets of gene editing, the chapter investigates the question on whether there is a need to shape an EU-wide “intervention” that will address the complex and dynamic socio-ethical challenges of gene editing and puts forward a series of proposals for the framing of an inclusive framework that will be based on the need to re-enforce public trust in the EU governance of emerging technologies.