Back

Rational design of T-DNA vectors enables predictable, single-copy integration in Arabidopsis thaliana

Shaw, W. M.; Gajendiran, A.; Tchantouridze, E. I.; Bechen, L. L.; Clarke, S. G.; Guiziou, S.; Gehring, M.; Khalil, A. S.

2026-06-10 plant biology
10.64898/2026.06.08.730999 bioRxiv
Show abstract

Agrobacterium-mediated transformation is the dominant method for plant transgenesis, yet it frequently produces multi-copy, structurally complex T-DNA insertions associated with transgene silencing, unpredictable expression, and genome instability. Here, leveraging a high-throughput phenotypic reporter, we systematically dissect how T-DNA vector architecture, plasmid biology, and regulatory element choice shape transformation outcomes in Arabidopsis thaliana. We discover a pronounced trade-off between transformation efficiency and T-DNA copy number, uncovering the virulence enhancing overdrive sequence as a major determinant of this relationship. Guided by these insights, we engineered a new T-DNA vector that balances efficient transformation with predominantly single-copy integration. Additionally, we replaced viral elements, such as the widely used CaMV 35S promoter, with Arabidopsis-derived regulatory elements to minimise undesired enhancer effects, and developed a streamlined workflow for efficient T-DNA insertion mapping in the genome. Together, these advances form the T1 vector series, an Arabidopsis-optimised T-DNA vector system that enables clean, single-copy, and readily mappable transgene integration with predictable expression in the first generation after transformation.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature Plants
94 papers in training set
Top 0.1%
26.1%
2
Nature Communications
5641 papers in training set
Top 14%
12.4%
3
Plant Biotechnology Journal
64 papers in training set
Top 0.1%
9.6%
4
The Plant Journal
215 papers in training set
Top 1%
5.4%
50% of probability mass above
5
Science
477 papers in training set
Top 2%
4.8%
6
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 14%
4.0%
7
Plant Physiology
238 papers in training set
Top 2%
4.0%
8
The Plant Cell
161 papers in training set
Top 1%
3.4%
9
Nature Biotechnology
172 papers in training set
Top 1%
3.2%
10
Nucleic Acids Research
1281 papers in training set
Top 6%
3.2%
11
Cell
431 papers in training set
Top 5%
2.3%
12
ACS Synthetic Biology
287 papers in training set
Top 1%
2.3%
13
PLOS ONE
5266 papers in training set
Top 52%
1.4%
14
Genome Biology
637 papers in training set
Top 7%
1.1%
15
eLife
5828 papers in training set
Top 59%
1.1%
16
Molecular Plant
39 papers in training set
Top 1.0%
1.0%
17
Nature Methods
385 papers in training set
Top 6%
0.8%
18
Cell Systems
201 papers in training set
Top 5%
0.8%
19
Science Advances
1243 papers in training set
Top 31%
0.8%
20
Nature
645 papers in training set
Top 11%
0.8%
21
Horticulture Research
47 papers in training set
Top 1%
0.6%
22
New Phytologist
346 papers in training set
Top 5%
0.6%
23
Current Biology
665 papers in training set
Top 11%
0.6%
24
Advanced Science
286 papers in training set
Top 12%
0.6%
25
Scientific Reports
3612 papers in training set
Top 79%
0.6%