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Understanding Crop Pest Evolution May Boost Biocontrol

Understanding Crop Pest Evolution May Boost Biocontrol

The Egyptian cotton leafworm (Spodoptera littoralis) is a pest species in France. It is found throughout the Mediterranean Basin as well as in Africa and the Middle East. Moth larvae are extremely polyphagous and cause damage to diverse crop species (e.g., corn, legumes, cotton, tomatoes, peppers).

As part of broader efforts to reduce pesticide levels, researchers must develop effective biocontrol methods. Such strategies often rely on disrupting reproduction and trapping moths using, most commonly, . However, pheromone synthesis is an expensive process, and it thus remains important to have other control strategies on hand. To this end, researchers need to improve their understanding of olfactory receptors in this moth.

In 2019, researchers identified OR5, an  in the Egyptian cotton leafworm that recognizes the main compound in the female sex pheromone blend. In this new study, the same scientists explored the receptor's evolutionary trajectory within Spodoptera to better characterize its functionality and specificity.

They used a combined approach in which they resurrected ancestral receptors in the laboratory, with the help of computer analysis, and they modeled the 3D structure of the receptors. They were thus able to determine that OR5 appeared around 7 million years ago. The researchers also employed site-directed mutagenesis to explore OR5's genetic fine-tuning, which allowed them to identify the eight  (AAs) behind the receptor's high degree of specificity.

This finding is particularly unexpected, given that past research on receptor evolution has suggested just one or two AA substitutions suffice to change the functionality of ecologically important receptors.

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What are the biggest technology trends emerging at the 2026 World Pork Expo?

Brian Doyle of EveryPig shares his early observations from the show floor, highlighting strong attendance, increased collaboration between technology providers, and the growing role of artificial intelligence in modern pork production.

Doyle discusses how better data integration between systems can create a single source of truth for producers, while AI-powered tools and intelligent agents help automate routine tasks, analyze large volumes of production data, and turn information into actionable insights that improve decision-making.

Topics Covered:

Artificial Intelligence (AI) in pork production

Data integration and interoperability

Technology collaboration

Digital farm management

Automation and intelligent agents

World Pork Expo 2026

Recorded at the 2026 World Pork Expo.