Risks

Gene drive organisms (GDOs) represent a paradigm shift relative to previous generations of genetically modified organisms (GMOs), including with respect to risks.

To limit the potential for negative impacts, the rule so far has been to keep genetically modified organisms (GMOs) restricted to their release sites – such as keeping GM crop plants to their respective agricultural fields. The aim is to prevent the spread of GMOs into the wider environment, and to avoid or minimise the flow of modified genes into non-GM populations or wild relatives.

In contrast, gene drive organisms are specifically designed to spread into the wild, often by actively modifying each subsequent generation, with the aim of altering, replacing or eliminating target populations and possibly entire species.

Risk can be described as the severity of a potential harm multiplied by the likelihood of this harm. The overall risks will be underestimated if: a potential harm is not identified, its severity is not fully recognised, or its likelihood is misjudged.

This emphasises the need for full comprehension of potential harms, which in turn requires full understanding of the matrix of biological interactions and physical settings in which gene drives will operate and have their effects. Reaching such an understanding is extraordinarily difficult.

Thus, gene drive organisms not only bring new risks at various levels, but also serious challenges to risk assessment.

I. Overarching issues and challenges relating to risks include:

There is a high degree of complexity
There is a wide spectrum of performance scenarios
Once released self spreading gene drives cannot be halted or recalled nor can their modifications be reversed.
There is no consensus as to what constitutes a harm or a risk and who should decide on this.
It is unclear what the evolutionary effects of engineered gene drives will be over space and time.

It will be important to combine the ‘overarching issues and challenges’ above with all the areas of ‘effects and risks’ listed below to build the basis for a comprehensive risk assessment. In line with the Precautionary Principle, releases of GDOs should not be undertaken where there is the potential to cause serious harm and scientific evidence (that such harm will not occur) is lacking.

 

II     Risks - viewed through cause & effect logic

One way of seeking to identify or understand risks is analysing chains of causes and effects. In the absence of wide-ranging data from open release experiments and long-term ecological studies this becomes a largely theoretical undertaking. In such circumstances, a ‘cause and effect’ approach to understanding risks or potential harms rests on the assumption that we know all the links and connections in a chain and how they will play out.

Adverse effects will play out differently depending on the type of gene drive, the target species (e.g. specific mammal, insect, or plant) and the specific environmental settings. Harmful impacts are likely to be consequences of both direct effects (such as eliminating/’suppressing’ a population) and indirect effects (such as the reduction in a predator species resulting from such elimination/’suppression’).  Harms could also result from cascading knock-on effects where there are greater numbers of steps in the causal chain, including branching chains of effects. 

In the context of the overarching issues described in the section above, risks will not necessarily be easily identified or understood, especially as gene drives cannot readily be tested in the wild.

Risk assessment will often view risks through the ‘cause and effect’ lense, which is valuable, but has its limitations. System level risks and their enhanced complexities are easily missed out, but equally important. They will be covered in section III.

Examples of ‘cause and effect’ logic

Note this is an indicative and non-exhaustive list.

1) Suppression & elimination

Suppression and elimination of target organisms – if the intervention works as intended - will likely have intended and unintended effects, both potentially with a wide range of knock-on effects. These may include but are not limited to:

food-web impacts:
host-parasite impacts:
harm to non-target organisms, and loss of ecosystem functions:
niche replacement:
wider knock-on effects over time and space (e.g. delayed domino effects):
Rebound effects:
Chasing dynamics:

2) Modification & replacement

Modification of a target organism/species or the replacement of wild populations with populations with altered traits will – if the intervention and gene drive action proceed as planned - have a wide range of potential knock-on effects.

These may for example include:

3) Increase in persistence & invasiveness

Modification/replacement drives may potentially – depending on their performance– result in increased persistence and invasiveness of the altered target organism. This may for example be due to enhanced competitiveness and fitness of the gene drive organism and resulting populations. This may also have to be considered for elimination/suppression drives, though cause and effect chains are less clear and may possibly be related to chasing dynamics, mating behaviour, resistance build-up, genetic variation, etc.

Potential effects include:

4) Uncontrolled & unintended spread

Both the engineered gene drive element (at the DNA level) and the gene drive organism could potentially spread beyond an intended target population or target species.

The following points are examples of what may need to be considered:

5) Increased toxicity

Whilst increased toxicity may be present from the onset, it may also arise under certain environmental conditions or within specific genetic backgrounds within wild populations. This may potentially impact predators, decomposers, and food-webs. In case of vector organisms, such as mosquitoes, higher levels of allergen or toxin in saliva may impact humans and animals.

 

III.  Risks - viewed at ‘systems levels’

In complex biological systems the hypothesis-driven approach to risks will likely fail to identify the full breadth of risks and consequences.

So if one does not assume one has all the required knowledge, where does that leave one?  This problem has been recognised for example by the concept of general monitoring or general surveillance. In this approach the consequences and harms of any technological intervention are being observed/monitored at the systems level without any predetermined hypothesis.

In the case of gene drives - were gene drive organisms to be released into the open environment - consequences could for example manifest at many levels such as:

1) Molecular level effects.
2) Population genetics and evolutionary level effects:  
3) Ecological level effects,
4) Physiology,  whole organisms, and life cycle of organism levels.
5) Human & animal health level effects.
6) Socio-economic level impacts.
7) Cultural and ethical level impacts.
8) Biosphere and climate level impacts.

 

In the case of gene drives, however, general surveillance does not provide the answer, because the risks must be fully understood before any release as to avoid to possibility of serious and irreversible harm.

This brings us full circle back to this fundamental tension underlying risk identification and risk assessment of gene drives. – namely the impossibility to comprehensively predict risk prior to any release.