Aug 2026· Plants· Vol 15· 0 citations· 79 references
Medicine
Abstract
Genetic engineering (GE) and gene editing may endow traits to trees such as increased biomass and the production of novel biomaterials. Long-lived organisms such as trees might be subject to biotechnology-related risks that could be different than those of annual row crops. Those risks could be relevant to production in engineered plantations and beyond plantations to natural forests. Therefore, appropriate risk regulation is important to assure biosafety of commercialized engineered trees. In addition to gene flow via sexual reproduction, vegetative reproduction might play an additional role in environmental “exposure” risk relative to transgene dispersal in GE tree plantations. While vegetative reproduction is beneficial for preserving desired genetic traits during tree propagation, it may lead to proximal clonal spread in the field. Although the environmental risks associated with vegetative reproduction of GE trees are recognized in commercial forestry, there are few field-based environmental risk assessment (ERA) studies on dispersal risks of self-propagated GE trees. GE or gene editing of target genes involved in the vegetative propagation processes may be useful to mitigate environmental risks of clonal spread through vegetative reproduction. This review provides updates for recent field test results of GE and gene edited trees. Gene candidates related to vegetative reproduction including adventitious shooting (AS) and adventitious rooting (AR) are discussed herein as a means to mitigate unintended clonal spread from GE tree plantations.
Varietal trial of a non-transgenic experimental material generated from modern or traditional plant breeding methods can be tested in any region that suits the respective crop without any confinement. However, a transgenic experimental material developed following genetic engineering (GE) requires its testing in confin...
Sharma Aarti, M. Shamim, K. Manish et al.· Plant Science Today· 0 citations
This study provides the first systematic assessment of the ecological characteristics influencing the likelihood of edible insects becoming invasive, and identifies species not yet reported as invasive that could present risks if farmed outside their native ranges.
E. Manfrini, N. Sauvion, Clara Marino et al.· ARPHA Conference Abstracts· 0 citations
Advances in genomic techniques have great potential to accelerate the development of the microalgal sector and to address key challenges related to upscaling. Genetically modified microalgae (GMM) can exhibit enhanced biomass productivity, increased accumulation of valuable biocompounds, or express other beneficial tra...
Irene Gallego, André Friedrich, J. Robbens et al.· Ecotoxicology and Environmen...· 0 citations
This review synthesises the fundamental principles and limitations of multiple gene-editing technologies, with a particular emphasis on CRISPR systems (Cas9, Cas12, and Cas13), in the specific context of woody perennial biology, and highlights how synergising CRISPR technologies with multi-omics, genomic selection, and...
Tabeer Gulfam, Wanxin Li, Zhi-Yong Han et al.· Plant, Cell and Environment· 1 citation
Plant Genetic Resources (PGR) are material containing useful genetic variation in plant species, including their weedy and wild relatives. Collections of PGR are mined for useful traits as needed to respond to new biotic and abiotic stresses; incorporate new nutritional, yield, or value‐added traits; and create new m...
Marilyn L. Warburton, Britton Bourland, A. Cornwall et al.· Crop science· 0 citations
Findings show that ecological niche tracking and polygenic adaptation allow agricultural weeds like blackgrass to persist under rapid environmental change, offering insights relevant not only for weed management but also for designing resilient cropping systems under future climates.
Célia Neto, Quan-Jing Zheng, Paul Neve· bioRxiv· 0 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.