Back

Infectious transgenesis in arthropods

Nejat, N.; van Warmerdam, T.; Rasgon, J. L.

2026-09-17 molecular biology
10.64898/2026.09.14.751565 bioRxiv
Show abstract

In the last decade, there has been an explosion in the development of in vivo germline genetic editing technologies in arthropods, first pioneered by the Receptor-Mediated Ovary Transduction of Cargo (ReMOT Control) method. While ReMOT Control and related technologies (DIPA-CRISPR and SYNCAS) have shown great utility for gene knock-out in many different species, consistent gene insertion has been elusive, limiting widespread adoption. We developed a novel system based on the baculovirus Autographa californica multiple nucleopolyhedrovirus (AcMNPV) to deliver heritable CRISPR knock-out and knock-in constructs to the arthropod germline by oral feeding. We call this method "Germline Engineering by Viral Transduction" ("GEValT"). With GEValT, newly-eclosed female and male adult arthropods are fed on virus in sugar (and/or blood) and allowed to breed, resulting in easy generation of genetically modified offspring. GeValT is easy to use and has the potential to revolutionize gene editing methodology for researchers working across diverse arthropod species.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 9%
18.5%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 21%
7.9%
Similar papers in this journal
3
The CRISPR Journal
○ 39 papers in training set
Top 0.1%
7.3%
Similar papers in this journal
4
eLife
● 5828 papers in training set
Top 21%
5.5%
Similar papers in this journal
5
Cell Reports Methods
○ 165 papers in training set
Top 0.2%
5.5%
Similar papers in this journal
6
Scientific Reports
○ 3612 papers in training set
Top 25%
4.0%
7
ACS Synthetic Biology
● 287 papers in training set
Top 0.9%
3.2%
50% of probability mass above
8
Nucleic Acids Research
◐ 1281 papers in training set
Top 6%
2.8%
9
Frontiers in Bioengineering and Biotechnology
○ 98 papers in training set
Top 0.7%
2.4%
10
Communications Biology
○ 993 papers in training set
Top 10%
2.1%
11
PLOS Biology
● 486 papers in training set
Top 3%
2.1%
12
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 26%
1.9%
13
Molecular Biology and Evolution
◐ 542 papers in training set
Top 3%
1.7%
14
Nature Biotechnology
○ 172 papers in training set
Top 3%
1.5%
15
Insect Molecular Biology
○ 20 papers in training set
Top 0.2%
1.5%
16
Science
● 477 papers in training set
Top 6%
1.4%
17
G3: Genes, Genomes, Genetics
◐ 252 papers in training set
Top 3%
1.4%
18
BMC Biology
○ 265 papers in training set
Top 3%
1.3%
19
Cell Reports
○ 1498 papers in training set
Top 23%
1.1%
20
Cell
○ 431 papers in training set
Top 8%
1.1%
21
PLOS Pathogens
● 820 papers in training set
Top 7%
1.1%
22
GENETICS
◐ 483 papers in training set
Top 3%
1.1%
23
iScience
○ 1154 papers in training set
Top 26%
1.1%
24
Journal of Virology
● 499 papers in training set
Top 3%
1.1%
25
PeerJ
◐ 308 papers in training set
Top 10%
0.9%
26
EMBO Reports
○ 263 papers in training set
Top 7%
0.8%
27
Journal of Neuroscience Methods
○ 122 papers in training set
Top 2%
0.8%
28
Nature Methods
○ 385 papers in training set
Top 7%
0.8%
29
Journal of Visualized Experiments
● 34 papers in training set
Top 0.6%
0.8%
30
Science China Life Sciences
○ 29 papers in training set
Top 0.6%
0.8%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.