Genome-Scale Sequence Disruption Following Biolistic Transformation in Rice and Maize.
Jianing LiuNatalie J NannasFang-Fang FuJinghua ShiBrooke AspinwallWayne A ParrottR Kelly DawePublished in: The Plant cell (2019)
Biolistic transformation delivers nucleic acids into plant cells by bombarding the cells with microprojectiles, which are micron-scale, typically gold particles. Despite the wide use of this technique, little is known about its effect on the cell's genome. We biolistically transformed linear 48-kb phage lambda and two different circular plasmids into rice (Oryza sativa) and maize (Zea mays) and analyzed the results by whole genome sequencing and optical mapping. Although some transgenic events showed simple insertions, others showed extreme genome damage in the form of chromosome truncations, large deletions, partial trisomy, and evidence of chromothripsis and breakage-fusion bridge cycling. Several transgenic events contained megabase-scale arrays of introduced DNA mixed with genomic fragments assembled by nonhomologous or microhomology-mediated joining. Damaged regions of the genome, assayed by the presence of small fragments displaced elsewhere, were often repaired without a trace, presumably by homology-dependent repair (HDR). The results suggest a model whereby successful biolistic transformation relies on a combination of end joining to insert foreign DNA and HDR to repair collateral damage caused by the microprojectiles. The differing levels of genome damage observed among transgenic events may reflect the stage of the cell cycle and the availability of templates for HDR.
Keyphrases
- cell cycle
- induced apoptosis
- genome wide
- oxidative stress
- cell cycle arrest
- cell proliferation
- high resolution
- cell free
- dna repair
- single molecule
- escherichia coli
- copy number
- gene expression
- cell death
- heavy metals
- signaling pathway
- single cell
- risk assessment
- cell therapy
- mass spectrometry
- multidrug resistant
- nucleic acid
- circulating tumor cells
- amino acid
- neural network