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Published on: September 27, 2024
Modeling seed dispersal distances: implications for transgenic Pinus taeda
Claire G Williams1, Shannon L LaDeau, Ram Oren
1Duke University, Department of Biology, Durham, North Carolina 27708, USA. claire.williams@duke.edu
Summary
Predicting seed dispersal from transgenic trees is crucial for gene flow and biocontainment. Most seeds fall locally, but long-distance dispersal (LDD) can exceed 1 km, posing a risk for genetically engineered forest trees.
Area of Science:
- Ecology
- Genetics
- Forestry
Background:
- Assessing gene flow from genetically engineered (GE) or transgenic trees is vital for biocontainment.
- Field trials for transgenic forest trees are increasing, particularly in the Southeastern US with Pinus taeda (loblolly pine).
Purpose of the Study:
- To model and predict forest-tree seed dispersal distances for estimating gene flow from transgenic trees.
- To evaluate the potential for long-distance dispersal (LDD) and its implications for biocontainment zones.
Main Methods:
- Simulated seed dispersal using a model incorporating forest canopy height, seed terminal velocity, release rate, and turbulent-flow statistics.
- Collected data from a Pinus taeda plantation in Duke Forest, North Carolina.
- Analyzed seed dispersal patterns in 16- and 25-year-old plantations.
Main Results:
- Most seeds dispersed locally (0.05–0.14 km) from the source.
- A fraction of seeds underwent LDD, traveling up to 33.7 km.
- Approximately 70 seeds/ha were predicted to travel over 1 km, exceeding a viable biocontainment zone.
- The probability of LDD exceeding 1 km for transgenic conifer seeds approached 100%.
Conclusions:
- Local dispersal is common, but LDD poses a significant risk for biocontainment of transgenic forest trees.
- Current biocontainment strategies may be insufficient given the potential for long-distance seed dispersal.
- Further research is needed to refine LDD predictions and develop effective biocontainment measures for transgenic forest trees.
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