Carme Quero López

Tenured Scientist

IQAC

Department

Biological Chemistry

Research group

Chemical ecology of pest insects

Contact

Email

carme.quero@iqac.csic.es

Phone

932557515

Extension

437678

Profiles

ORCID

0000-0003-3599-2778

LinkedIn

Carme Quero

Carme Quero López

Tenured Scientist

I am a biologist with a PhD from the University of Barcelona. I spent two years as a postdoctoral researcher at the University of Iowa (USA), where I worked on insect olfaction and the use of pheromones for pest control. Upon returning to Barcelona, I participated in several projects, all focused on integrated pest management strategies. Subsequently, I joined the IIBB-CSIC, where I began working in the field of proteomics. I obtained a Ramón y Cajal contract at the IQAC-CSIC and, during this period, established the IQAC Proteomics Service. I am currently a tenured researcher at IQAC and the institute’s deputy director.

My scientific career began with research on pheromonal communication in lepidopterans and the inhibition of pheromone response through interactions with proteins involved in olfactory processes. I continued working in insect chemical ecology, exploring behavioral inhibition using intraspecific compounds and pheromone analogs, with the aim of delving deeper into the mechanisms that regulate olfactory perception.

Throughout my career, and to this day, a central focus of my research has been the isolation and identification of new attractants and other behavior-modulating compounds to develop innovative methods for controlling both native and invasive insect pests.

The project combines biological control, next-generation biopesticides, and semiochemical technologies to strengthen the resilience of cropping systems. The integration of these innovations will enable up to a 50% reduction in pesticide use and ensure safer, more sustainable, and economically viable agricultural production.
The DEEPPEST project develops a faster and more economical way to find naturally occurring chemical compounds to control insect pests, without having to resort to conventional pesticides, by combining artificial intelligence and computational chemistry with insect biology. The approach is tested on the Moroccan locust as a proof of concept that could subsequently be applied to other invasive species.