Implementation of a genetic selection program in the black soldier fly (Hermetia illucens) to optimize the upcycling of organic waste residues

Description

The edible insect industry is experiencing rapid growth in Quebec and internationally, driven by the demand for sustainable protein and the principles of the circular economy. Among the species of interest, the black soldier fly (Hermetia illucens) stands out for its exceptional ability to valorize a wide range of organic residues and for its rapid growth.

Large-scale production of this species represents a promising solution for food waste valorization, transforming it into biomass rich in protein and nutrients. However, to meet increasing volumes of organic residues and improve the sector's competitiveness, it is essential to optimize the biological performance of farmed populations.

To date, most work has focused on environmental conditions (temperature, humidity, light). In contrast, genetic selection approaches remain underdeveloped, particularly regarding inbreeding management. Poor control of inbreeding can lead to a rapid collapse of colonies within just a few generations.

This project therefore aims to develop an integrated approach combining quantitative genetic selection and genomic tools to ensure the performance and sustainability of black soldier fly farming under industrial conditions.

Project Objectives

The overall objective of the project is to implement a robust genetic selection program in an industrial setting while ensuring effective management of inbreeding.

More specifically:

1. Develop a core group based on larval performance
a. Ensure high initial genetic diversity
b. Establish phenotyping methods adapted to mass production
c. Develop optimized mating plans to limit inbreeding
d. Estimate genetic parameters (heritability, response to selection)
2. Develop a non-destructive DNA extraction method
a. Applicable to both larval and adult stages
b. Compatible with commercial production constraints
3. Develop a SNP marker panel
a. Enabling parentage assignment
b. Facilitating monitoring of inbreeding at the population level

The selected candidate will be expected to:

- Design and implement a genetic selection program under both experimental and industrial conditions
- Collect and analyze large-scale phenotypic data
- Develop and optimize non-destructive DNA extraction protocols
- Conduct genomic analyses (GBS, SNP calling, parentage assignment)
- Implement inbreeding management strategies (mating plans, genetic models)
- Analyze data using statistical and bioinformatics tools
- Collaborate with industrial and academic partners
- Contribute to the writing of scientific publications and diffusion of results to the industry sector

Requirements and Conditions

Essential Requirements
• Master's degree in animal science, genetics, bioinformatics, or a related field
• Strong interest in quantitative genetics and/or genomics
• Solid data analysis skills (R, Python, or equivalent)
• Ability to work in a team and collaborate with industrial partners
• Excellent scientific communication skills (French and/or English)
• Ability to work with insects (rearing and sampling)

Assets
• Experience in animal breeding or population genetics
• Experience in insect rearing or animal production systems
• Interest in the circular economy and sustainable food systems

Application Deadline

July 1, 2026