Difference between revisions of "Team:Edinburgh OG/Human Practices"

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             <p> According to the toxic effect of these compounds on human health, animal health and the environment, a quantitative criterion for clear toxicity scores was created using a scale from 1 to 5 and a “traffic light” colour scheme. If the reviewed information showed that the secondary metabolite did not affect in a negative manner any of the three parameters, it was considered non-toxic and categorised as a “1” (green). If the data showed that the compound exhibited some degree of toxicity but nothing considerably serious or untreatable, it was considered slightly to moderately toxic and scored as a “3” (yellow). And if it showed that the secondary metabolite was extremely toxic, it was considered as highly toxic and classified as a “5” (red). However, considering there were three parameters to be contemplated, combinations of those three scores could occur (e.g., a secondary metabolite being considered non-toxic for humans but slightly to moderately toxic to animals). Therefore, if a compound was non-toxic according to one  parameter and slightly to moderately toxic for the others, it was categorised as a “2” (green-yellow). On the other hand, if it was slightly to moderately toxic according to some parameter and highly toxic for others, it was classified as a “4” (yellow-red).  Finally, if the secondary metabolite had no documented toxicity information, or if there was no specific BGC  and just the general class of secondary metabolite or microorganism,  the compound was categorised as “?” (black) with the note to consider if, according to the precautionary principle , one should prusue with the use of the given microorganism in the laboratory.  
 
             <p> According to the toxic effect of these compounds on human health, animal health and the environment, a quantitative criterion for clear toxicity scores was created using a scale from 1 to 5 and a “traffic light” colour scheme. If the reviewed information showed that the secondary metabolite did not affect in a negative manner any of the three parameters, it was considered non-toxic and categorised as a “1” (green). If the data showed that the compound exhibited some degree of toxicity but nothing considerably serious or untreatable, it was considered slightly to moderately toxic and scored as a “3” (yellow). And if it showed that the secondary metabolite was extremely toxic, it was considered as highly toxic and classified as a “5” (red). However, considering there were three parameters to be contemplated, combinations of those three scores could occur (e.g., a secondary metabolite being considered non-toxic for humans but slightly to moderately toxic to animals). Therefore, if a compound was non-toxic according to one  parameter and slightly to moderately toxic for the others, it was categorised as a “2” (green-yellow). On the other hand, if it was slightly to moderately toxic according to some parameter and highly toxic for others, it was classified as a “4” (yellow-red).  Finally, if the secondary metabolite had no documented toxicity information, or if there was no specific BGC  and just the general class of secondary metabolite or microorganism,  the compound was categorised as “?” (black) with the note to consider if, according to the precautionary principle , one should prusue with the use of the given microorganism in the laboratory.  

Revision as of 04:14, 19 October 2016

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Human Practices


Summary

Our project encompasses the characterisation of standardized biological parts that could potentially allow non-model microorganisms to be used as novel chassis. Domestication of non-model strains with high potential for industrial applications, could accelerate their understanding and increase the list of strains that are suitable for bioproduction. However, the domestication of strains of non-model organisms raises both biosafety and biosecurity challenges (e.g. unknown pathogenicity and toxicity), which are enhanced by the fast development of SynBIo and DIYBio fields. Such issues, if are not properly addressed, can be a risk for both users and their surroundings. In order to contribute to current risk assessment procedures, and as a precautionary step for both experienced and non-experienced users, the Edinburgh OG team worked on an accessible, easy-to-use program to evaluate the toxicity of curated secondary metabolites of both model and non-model organisms.

SILVER REQUIREMENT

How we have identified, investigated and addressed
the biosafety issue in the context of the ExpandED project.


Since the Edinburgh OG iGEM 2016 team has directly worked with non-model organisms we have an obligation to think about the current situation regarding the use of non-model organisms, its regulatory framework and its biosafety and biosecurity status. The goal of our project is to ultimately encourage future iGEM teams to use these microorganisms as well as domesticate additional, novel micro-organisms.

This team has recognised that the intended expansion of strains to be used within the context of synthetic biology through domestication of uncommon microorganisms comes with biosafety and biosecurity issues that need to be addressed properly. For example, filamentous fungi are able to produce a wide array of important secondary metabolites (e.g., naphto-γ-pyrones and ß-lactam antibiotics, such as penicillin) with diverse biological activities relevant for the food, pharmaceutical and cosmetic industries: antimicrobial, antioxidant, anti-cancer, anti-tubercular, anti-HIV and anti-hyperuricuric (Choque et al. 2014). Nonetheless, they may also produce mycotoxins that can cause unwanted health and environmental problems, such as human disease (myxotoxicoses) (Peraica et al. 1999) and food and silage spoilage (Filtenborg et al. 1996). Those issues are magnified by the Open Source Biology (OSB) and Do-It-Yourself Biology (DIYBio) movements – which complement the iGEM competition – since they lead to more permeable boundaries between amateurs and professional scientists.

The commercial applications of SynBio might entail the release of GMOs into the environment, either deliberate or accidental. For instance, the NTU-Taida 2012 iGEM project involved the direct interaction of genetically modified bacteria with humans as they engineered E. coli as a vector to deliver peptide drugs to the human gut (NTU-Taida iGEM 2012). Other examples iGEM projects that are associated with the release of GMOs to the environment the Imperial College London 2011 team, which used genetically modified E. coli to secret the auxin indoleacetic acid (IAA) to prevent erosion (Imperial College London iGEM 2011), and the Lethbridge 2011 team, which developed an toolkit based on genetically modified E. coli to be used for the clean-up of polluted lakes (University of Lethbridge iGEM 2011).

One also has to consider that, once released, GMOs cannot be retrieved and this poses a major risk to the environment. For instance, the differences in the physiology of synthetic and natural microorganisms might alter the manner those interact with their surroundings. Furthermore, the GMOs may survive, evolve and adapt quickly, hence competing successfully with wild-type strains. Another important risk is their gene transfer ability, based on which GMOs could take up genetic material from the environment or exchange it with other microorganisms (Dana et al. 2012).

Moreover, since the events in the US of 9/11 and the anthrax attacks on that same year, security concerns have increased because of the threat of biological or chemical terrorist attacks. These concerns have been compounded by recent in SynBio toolkit hrough which is it now possible, for example, to synthesize entire microorganisms (Hamilton 2015). As a consequence, these incidents have extended the concerns about biosecurity among the entire research community. Therefore, new efforts have been focused to design new ways to hinder malicious uses of the developed technologies (Garfinkel et al. 2007).

A proper and integral way to approach the biosafety and biosecurity aspects is through risk assessment methods that evaluate SynBio activities and techniques in order to determine whether they can be deemed as safe in terms of, or both (Schmidt 2009).

It is worth mentioning that, as the Convention on Biological Diversity (CBD) along with the Cartagena and Nagoya Protocols – its two supplementary agreements – addresses, SynBio activities and their risk assessment methods must comply with local regulatory frameworks and international legislation that oversee biosafety and biosecurity (Marles-Wright 2016). For instance, the European Union has regulations regarding the exposure chain of potential hazards of genetic engineering applications to human health and the environment (Scientific Committees 2015). Specifically, the European Directives 2009/41/EC, 2001/18/EC and (EU) 1829/412 relate to the contained use of GMOs, their deliberate release to the environment and their possible restriction by Member States. Specifically, the Directive 2001/18/EC is important in this case since it states that for an environmental risk assessment the characteristics of a GMO related to potential adverse effects should be compared to the ones from non-modified organisms (European Commission 2016).

Furthermore, in the United Kingdom (UK), the Genetically Modified Organisms (Contained Use) Regulations 2014 document states that the risk assessment of contained use of microorganisms and GMOs must identify the potential hazards of their activities and the level of severity (HSE 2014). Its complement, the Scientific Advisory Committee on Genetic Modification (SACGM) Compendium of Guidance, mentions the regulations of risks presented with the insertion of exogenous DNA sequences in host strains and the need to identify all probable hazards that stem from GMOs (HSE 2004). On the other hand, in the US the NIH Guidelines on the Use of Recombinant or Synthetic Nucleic Acid Molecules specify the practices regarding their construction and handling (NIH 2016a). Moreover, the World Health Organisation (WHO) and the Advisory Committee on Dangerous Pathogens (ACDP) Approved List of Biological Agents have a globally accepted classification of microorganisms according to their risk levels called the Control of Substances Hazardous to Health (COSHH) Regulations, such as the one presented for the iGEM competition to label different microorganisms (HSE 2004).

However, the existing biosafety and biosecurity framework pertaining to molecular biology was created before the fast-paced developments in SynBio, such as DNA synthesis, sequencing and high-throughput assembly, took place. Moreover, risk assessment methods are usually limited to paperwork that is completed and signed off by senior members, while other laboratory members do not contribute in a relevant manner to those assessments (Marles-Wright 2016).

Accordingly, numerous improvements to risk assessment methodologies can be made to ensure that biosafety and biosecurity are guaranteed while the benefits of SynBio developments are not compromised, such as having better communication and cooperation between the SynBio community and society in general (Schmidt 2009) to ensure that the biosafety and biosecurity components are integrated in molecular and synthetic biology research. On this matter, it has been proposed that, by fostering both a social intelligence and public knowledge about science, the contribution of science to benefit society is assured (van Doren & Heyen 2014). Progressively, more initiatives are being presented to make such incorporations. For example, the SYNBIOSAFE project and the SynBio Engineering Research Centre (SynBERC), funded by the European Commission’s Seventh Framework Programme and the US National Science Foundation (NSF) respectively, aim to ensure a successful scientific development while gathering information about the risks and achievable strategies to minimise them (Calvert & Martin 2009).


GOLD REQUIREMENT

How the investigation of biosafety issues have been integrated
into the design and execution of the ExpandED project.


The Edinburgh OG 2016 iGEM team has worked on a program to evaluate the toxicity of curated secondary metabolites produced by non-model organisms (bacteria, yeast and fungi). The program is intended to complement the current risk assessment practices by constituting an additional precautionary step that is to be followed before any work in the laboratory with the reviewed host strain begins. Furthermore, it is intended to be accessible to a wide constituency of experts in the field, trainees, DIY biologists, other stakeholders and the general public.


This tool, named “CARE” - Chassis Assessment & Risk Evaluation
includes information of more than 20+ microorganisms:


● The microorganisms from the Edinburgh OG 2016 iGEM team: the cyanobacterium Synechosistis sp. PCC 6803, the bacterium Rhodococcus jostii RHA1 and the fungus Penicillium roquefortii.

● The non-model organisms used by iGEM teams based in North America in 2014 and 2015 (as documented by the Yale 2015 iGEM team): Chlamydomonas reinhardtii, Chlorella kessleri, Chlorella vulgaris, Flavobacterium psychrophilum, Gilliamella apicola, Lactococcus lactis, Rhizobium tropici CIAT 899, Snodgrassella alvi and Synechococcus sp. PCC 7002.

● The industrially relevant Shewanella oneidensis, Saccharopolyspora erythraea, Myxococcus xanthus, Cupriavidus necator, Chromobacterium violaceum, Carnobacterium maltaromaticum, Sorangium cellulosum and Pseudomonas fluorescens.


Along with these microorganisms, a database with the related secondary metabolites information (the general class of secondary metabolite, the most similar biosynthetic gene cluster (BGC) related to the secondary metabolite, its location in the genome and the percentage of gene similarity for each annotated microorganism) was constructed using the Antibiotics & Secondary Metabolite Analysis Shell (antiSMASH) software.

It is worth mentioning that the databases can be updated by integrating new microorganisms or editing existing ones simply by logging-in and waiting for the validation of the data by the program administrators.

According to the toxic effect of these compounds on human health, animal health and the environment, a quantitative criterion for clear toxicity scores was created using a scale from 1 to 5 and a “traffic light” colour scheme. If the reviewed information showed that the secondary metabolite did not affect in a negative manner any of the three parameters, it was considered non-toxic and categorised as a “1” (green). If the data showed that the compound exhibited some degree of toxicity but nothing considerably serious or untreatable, it was considered slightly to moderately toxic and scored as a “3” (yellow). And if it showed that the secondary metabolite was extremely toxic, it was considered as highly toxic and classified as a “5” (red). However, considering there were three parameters to be contemplated, combinations of those three scores could occur (e.g., a secondary metabolite being considered non-toxic for humans but slightly to moderately toxic to animals). Therefore, if a compound was non-toxic according to one parameter and slightly to moderately toxic for the others, it was categorised as a “2” (green-yellow). On the other hand, if it was slightly to moderately toxic according to some parameter and highly toxic for others, it was classified as a “4” (yellow-red). Finally, if the secondary metabolite had no documented toxicity information, or if there was no specific BGC and just the general class of secondary metabolite or microorganism, the compound was categorised as “?” (black) with the note to consider if, according to the precautionary principle , one should prusue with the use of the given microorganism in the laboratory.