The need for human practices, because we can achieve more together
Responsible innovation requires its societal impact to be taken into account from the very beginning of the process and to be assessed at every step of product development. To do this, inclusion of stakeholders is necessary. Therefore, while creating PseuPomona, we have involved farmers, researchers, and policymakers in the discussions about our ideas at every stage of our project and integrated their suggestions and needs into the design of the final product. All the literature research that we had done before could not have given us the hands-on experience and practical knowledge that we gained from different parties involved in the project. On this page, you can follow our integrated human practices journey in detail.
If you are unable to view the figure pop-ups, you can access the description of our journey here.
Communication about GMOs to the outside world is a delicate but very important issue
It can be difficult for microbes to inject proteins into root cells due to their thick protective layer, and thus the idea requires proper design and engineering.
Both type III and type IV secretion systems, which are used by bacteria to inject proteins and nucleic acids respectively, into other organisms, are a possible way to have a bacterium deliver antiflorigens to a root cell.
The phosphatidyl ethanolamine-binding protein (PEBP) gene family, which is present in all eukaryote kingdoms and has three subfamilies identified in angiosperms. This gene family is involved in controlling the flowering mechanisms and thus should be the main target to search for flowering-delaying antiflorigens. Moreover, given that many of these proteins have an effect in parts of the plant other than those in which they are produced, it is likely that they can be transported over long distances within plants (for instance from roots to shoots) which is the core of our PseuPomona strategy.
The active sites of florigens (the proteins inducing flowering) are very conserved amongst plant species. This conservation indicates the possibility of cross-species effectivity. This conservation indicates the possibility for cross-species effectivity of the members of the PEBP gene family.
Arabidopsis thaliana could be used as a subject organism in the design of our in vivo plant experiments as this is the most used model plant on which a lot of flowering experiments have already been performed.
The potential use of mRNA antiflorigens was discarded as they decay too fast and therefore are not suitable for long-distance transport inside the plant, which is required for our proposed application method.
Antiflorigens do not require transport signals to travel within the plant.
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Helped us set up experiments with a model organism, Arabidopsis thaliana, which is easy to grow and can represent a realistic model for cherry and other fruit trees.
Confirmed that heterologous expression of florigens in microbial hosts is possible, therefore we could produce our proteins in bacteria and later test their effect on plants.
Advised us on the design and set-up of in vivo plant experiments so that we could get as much data out of the limited number of experiments that we could perform. For example, we had to screen for an effective dosage of antiflorigen right away as this is not known in literature.
Pointed out that the colonisation of the roots of adult trees with new bacteria can be difficult since they already have an established microbiome.
Confirmed that tree root exudates are not well studied and suggested testing several inducible promoters using different substances.
Helped us establish the optimal cell density in our product. To successfully insert the bacteria in the soil, she suggested that the density of 10^7-10^8 CFU/g should be used.
Showed us that there is already proof of phytohormones being produced in roots and transported to apical shoot meristem in flower buds via source-sink forces. This means that transporting our protein through the plant is feasible.
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“If you take precautions that were not needed you lose a ton of money and maybe even risk the trees' health. But a wrong decision can also lead to a decimating loss of your harvest. So, you really need to make a delicate judgement if it is the right moment to take precautions.”
Main contribuitions:
“We currently see, more often than in the past, softer winters followed by more frost periods in the spring. So, the chances of frost damage are increasing.”
Main contribuitions:
“We currently see, more often than in the past, softer winters followed by more frost periods in the spring. So, the chances of frost damage are increasing.”
Main contribuitions:
“Being able to monitor your product is very important for a risk assessment process and market approval because in order to have a chance for approval, you will need to prove that the product has disappeared after a certain period of time.”
Main contribuitions:
“This year 3-4 days of flowering delay would have saved 30% of the total harvest.”
Main contribuitions:
“It is interesting to map the impact frost damage has in the cherry industry”
Main contribuitions:
“If you take precautions that were not needed you lose a ton of money and maybe even risk the trees' health. But a wrong decision can also lead to a decimating loss of your harvest. So, you really need to make a delicate judgement if it is the right moment to take precautions.”
Main contribuitions:
Main contribuitions:
Main contribuitions:
Main contribuitions:
“We currently see, more often than in the past, softer winters followed by more frost periods in the spring. So, the chances of frost damage are increasing.”
Main contribuitions:
“This is a challenging and highly relevant project for plant sciences and plant breeding with an original, out-of-the-box approach. High risk and hopefully high gain!”
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“You’re making plants behave more normally, more like they should, than they currently do.”
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“Conventional way to do microbial community modelling requires large amounts of OMICs data. The agent-based model you mentioned could be interesting to get new insights at microbial community modeling”
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