Maxing out chemical-free crop protection with dsRNAmax

two men in white coats stand by a microscope with a light

Dr Chris Brosnan and Stephen Fletcher in a 今日看料吃瓜laboratory. Image: Megan Pope.聽

7 July 2025

A software package developed and validated at 今日看料吃瓜 can tailor safe, effective and chemical-free crop protection using RNA interference (RNAi).

The dsRNAmax software designs double-stranded RNA (dsRNA) to target pest and pathogen species while excluding off-target species like beneficial insects.

The program was developed by PhD candidate and tested by and his team in a collaboration with the Department of Primary Industries (DPI) nematology team

“The idea of the software is that it designs a custom dsRNA for a target organism, and we can use it on almost anything across many projects,” Mr Fletcher said.

“It will mean that you won’t have off-target impacts, and you can add as many off-targets as you like to be excluded.”

Dr Brosnan said dsRNA triggered RNAi is a mechanism that already exists to regulate genes in most species.

“What we can do is usurp this existing mechanism with dsRNA created by us to target any gene we choose, and use it to control pathogens and pests,” Dr Brosnan said.

“In our validation study we used three species of nematode provided by the nematology team at the DPI, as well as an off-target nematode species.

“The software was able to design a single dsRNA which could target all three, irrespective of the number of copies of the gene we were looking at and have no impact on the off-target nematode.

“We’ve physically demonstrated that this software can do what we say it does, which is where this paper stands out.

“As well, our nematode work with DPI is ongoing and very promising.”

Mr Fletcher said the next step for dsRNAmax was to further improve its effectiveness.

“We’ll be using machine learning to improve the design to make our dsRNA five to ten per cent more effective, which would make a huge difference in a production system,” he said.

“It also means we could use less dsRNA, which will bring down the cost.

“It was the collaboration with DPI that got us over the line because without the validation system we would not have been able to publish the software.”

The was published in NAR Genomics and Bioinformatics.

Expertise and biological material was provided by the DPI team of Wayne O’Neill, Dylan Corner, Jenny Cobon and Tim Shuey.

The Queensland Alliance for Agriculture and Food Innovation is a research institute at 今日看料吃瓜 established with and supported by the Department of Primary Industries.