scholarly journals Open source approaches to establishingRoseobacterclade bacteria as synthetic biology chassis for biogeoengineering

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2031 ◽  
Author(s):  
Yanika Borg ◽  
Aurelija Marija Grigonyte ◽  
Philipp Boeing ◽  
Bethan Wolfenden ◽  
Patrick Smith ◽  
...  

Aim.The nascent field of bio-geoengineering stands to benefit from synthetic biologists’ efforts to standardise, and in so doing democratise, biomolecular research methods.Roseobacterclade bacteria comprise 15–20% of oceanic bacterio-plankton communities, making them a prime candidate for establishment of synthetic biology chassis for bio-geoengineering activities such as bioremediation of oceanic waste plastic. Developments such as the increasing affordability of DNA synthesis and laboratory automation continue to foster the establishment of a global ‘do-it-yourself’ research community alongside the more traditional arenas of academe and industry. As a collaborative group of citizen, student and professional scientists we sought to test the following hypotheses: (i) that an incubator capable of cultivating bacterial cells can be constructed entirely from non-laboratory items, (ii) that marine bacteria from theRoseobacterclade can be established as a genetically tractable synthetic biology chassis using plasmids conforming to the BioBrickTMstandard and finally, (iii) that identifying and subcloning genes from aRoseobacterclade species can readily by achieved by citizen scientists using open source cloning and bioinformatic tools.Method.We cultivated threeRoseobacterspecies,Roseobacter denitrificans,Oceanobulbus indolifexandDinoroseobacter shibae. For each species we measured chloramphenicol sensitivity, viability over 11 weeks of glycerol-based cryopreservation and tested the effectiveness of a series of electroporation and heat shock protocols for transformation using a variety of plasmid types. We also attempted construction of an incubator-shaker device using only publicly available components. Finally, a subgroup comprising citizen scientists designed and attempted a procedure for isolating the cold resistanceanf1gene fromOceanobulbus indolifexcells and subcloning it into a BioBrickTMformatted plasmid.Results.All species were stable over 11 weeks of glycerol cryopreservation, sensitive to 17 µg/mL chloramphenicol and resistant to transformation using the conditions and plasmids tested. An incubator-shaker device, ‘UCLHack-12’ was assembled and used to cultivate sufficient quantity ofOceanobulbus indolifexcells to enable isolation of theanf1gene and its subcloning into a plasmid to generate the BioBrickTMBBa_K729016.Conclusion.The process of ‘de-skilling’ biomolecular techniques, particularly for relatively under-investigated organisms, is still on-going. However, our successful cell growth and DNA manipulation experiments serve to indicate the types of capabilities that are now available to citizen scientists. Science democratised in this way can make a positive contribution to the debate around the use of bio-geoengineering to address oceanic pollution or climate change.

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.


Life ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 5 ◽  
Author(s):  
Manuel Porcar

Synthetic biology is an engineering view on biotechnology, which has revolutionized genetic engineering. The field has seen a constant development of metaphors that tend to highlight the similarities of cells with machines. I argue here that living organisms, particularly bacterial cells, are not machine-like, engineerable entities, but, instead, factory-like complex systems shaped by evolution. A change of the comparative paradigm in synthetic biology from machines to factories, from hardware to software, and from informatics to economy is discussed.


2021 ◽  
pp. 130624
Author(s):  
Joong Ho Shin ◽  
Sungyoung Choi
Keyword(s):  

2017 ◽  
Vol 4 (11) ◽  
pp. 171227 ◽  
Author(s):  
D. W. Shanafelt ◽  
K. R. Salau ◽  
J. A. Baggio

Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social–ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user-defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open-source code for academic purposes.


2019 ◽  
Vol 48 (D1) ◽  
pp. D1164-D1170 ◽  
Author(s):  
Esteban Martínez-García ◽  
Angel Goñi-Moreno ◽  
Bryan Bartley ◽  
James McLaughlin ◽  
Lucas Sánchez-Sampedro ◽  
...  

Abstract The Standard European Vector Architecture 3.0 database (SEVA-DB 3.0, http://seva.cnb.csic.es) is the update of the platform launched in 2013 both as a web-based resource and as a material repository of formatted genetic tools (mostly plasmids) for analysis, construction and deployment of complex bacterial phenotypes. The period between the first version of SEVA-DB and the present time has witnessed several technical, computational and conceptual advances in genetic/genomic engineering of prokaryotes that have enabled upgrading of the utilities of the updated database. Novelties include not only a more user-friendly web interface and many more plasmid vectors, but also new links of the plasmids to advanced bioinformatic tools. These provide an intuitive visualization of the constructs at stake and a range of virtual manipulations of DNA segments that were not possible before. Finally, the list of canonical SEVA plasmids is available in machine-readable SBOL (Synthetic Biology Open Language) format. This ensures interoperability with other platforms and affords simulations of their behaviour under different in vivo conditions. We argue that the SEVA-DB will remain a useful resource for extending Synthetic Biology approaches towards non-standard bacterial species as well as genetically programming new prokaryotic chassis for a suite of fundamental and biotechnological endeavours.


2018 ◽  
Vol 4 (2) ◽  
pp. 137-156
Author(s):  
Samantha D. Gottlieb ◽  
Jonathan Cluck

Abstract This paper explores our collaborative STS and anthropological project with type 1 diabetes (T1D) hardware “hacking” communities, whose work focuses on reverse-engineering and extracting data from medical devices such as insulin pumps and continuous glucose monitoring systems (CGMS) to create do-it-yourself artificial pancreas systems (APS). Rather than using these devices within their prescriptive and prescribed purposes (surveillance and treatment monitoring), these “hackers” repurpose, reinterpret, and redirect of the possibilities of medical surveillance data in order to reshape their own treatment. Through “deliberate non-compliance” (Scibilia 2017) with cliniciandeveloped treatment guidelines, T1D device hackers deliberatively engage with clinicians’ conceptions and formulations of what constitutes “good treatment” and empower themselves in discussions about the effectiveness of treatment guidelines. Their non-compliance is, however, neither negligence, as implied by the medical category of patients who fail to comply with clinical orders, nor ignorance, but a productive and creative response to their embodied expertise, living with a chronic and potentially deadly condition. Our interlocutors’ explicit connections with the free and open source software principles suggests the formation of a “recursive public” (Kelty 2008) in diabetes research and care practices, from a patient-centered “medical model” to a diverse and divergent patient-led model. The philosophical and ethical underpinnings of the open source and collaborative strategies these patients draw upon radically reshape the principles that drive the commercial health industry and government regulatory structures.


2017 ◽  
Vol 3 ◽  
pp. 499 ◽  
Author(s):  
Max Liboiron

The concept of agency is ubiquitous in STS, particularly regarding cases of alternative ways of knowing and doing science such as civic, citizen, and feminist sciences, among others. Yet the focus on agency often glosses over the constraints placed on agents, particularly within asymmetrical power relations. This article follows the case of BabyLegs, a do-it-yourself monitoring tool for marine microplastic pollution, and the attempt to keep the technology open source within an intellectual property (IP) system set up to privatize it. The tactics used to design BabyLegs as a feminine, silly, doll-tool to discredit the device in the eyes of an IP system that valued traditional gender roles lead to the eventual success of keeping the device open source. Yet, those same tactics also reinforced and reproduced the structures of power and essentialism they were designed to resist. I characterize this technological ambivalence as compromise, and argue that all agency exercised within asymmetrical power relations is compromised. This is not to say resistance is futile, but that agency is never pure, and this recognition lets us be more intentional in how we might compromise as practitioners of diverse scientific knowledges. 


PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2279 ◽  
Author(s):  
Javier F. Tabima ◽  
Sydney E. Everhart ◽  
Meredith M. Larsen ◽  
Alexandra J. Weisberg ◽  
Zhian N. Kamvar ◽  
...  

Development of tools to identify species, genotypes, or novel strains of invasive organisms is critical for monitoring emergence and implementing rapid response measures. Molecular markers, although critical to identifying species or genotypes, require bioinformatic tools for analysis. However, user-friendly analytical tools for fast identification are not readily available. To address this need, we created a web-based set of applications called Microbe-ID that allow for customizing a toolbox for rapid species identification and strain genotyping using any genetic markers of choice. Two components of Microbe-ID, named Sequence-ID and Genotype-ID, implement species and genotype identification, respectively. Sequence-ID allows identification of species by using BLAST to query sequences for any locus of interest against a custom reference sequence database. Genotype-ID allows placement of an unknown multilocus marker in either a minimum spanning network or dendrogram with bootstrap support from a user-created reference database. Microbe-ID can be used for identification of any organism based on nucleotide sequences or any molecular marker type and several examples are provided. We created a public website for demonstration purposes called Microbe-ID (microbe-id.org) and provided a working implementation for the genusPhytophthora(phytophthora-id.org). InPhytophthora-ID, the Sequence-ID application allows identification based on ITS orcoxspacer sequences. Genotype-ID groups individuals into clonal lineages based on simple sequence repeat (SSR) markers for the two invasive plant pathogen speciesP. infestansandP. ramorum. All code is open source and available on github and CRAN. Instructions for installation and use are provided athttps://github.com/grunwaldlab/Microbe-ID.


2020 ◽  
Vol 14 (5) ◽  
pp. 854-859
Author(s):  
Michelle Ng ◽  
Emily Borst ◽  
Ashley Garrity ◽  
Emily Hirschfeld ◽  
Joyce Lee

Background: The Nightscout Project is a leading example of patient-designed, do-it-yourself (DIY), open-source technology innovations to support type 1 diabetes management. We are unaware of studies that have described the evolution of patient-driven innovations from the Nightscout Project to date. Methods: We identified patient-driven, DIY innovations from posts and comments in the “CGM in the Cloud” private Facebook group as well as data from Twitter, GitHub, and the Nightscout website. For each innovation, we described its intent or its unaddressed need as well as the associated features and improvements. We conducted a thematic analysis to identify overarching patterns among the innovations, features, and improvements, and compared the timeline of innovations in the DIY space with the timing of similar innovations in the commercial space. Results: We identified and categorized innovations in Nightscout with the most commonly appearing themes of: visualization improvements, equipment improvements, and user experience improvements. Other emerging themes included: Care Portal support, safety, remote monitoring, decision support, international support, artificial pancreas, pushover notifications, and open-source collaboration. Conclusions: This rapid development of patient-designed DIY innovations driven by unmet needs in the type 1 diabetes community reflects a revolutionary, bottom–up approach to medical innovation. Nightscout users accessed features earlier than if they had waited for commercial products, and they also personalized their tools and devices, empowering them to become the experts of their own care.


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