The FlyCatwalk: a high-throughput feature-based sorting system for artificial selection in Drosophila

Area of Science:

• Evolutionary biology
• Genetics
• Animal behavior

Background:

• Experimental evolution is crucial for understanding complex traits and identifying causal genetic variants.
• Large-scale studies are limited by the time-consuming nature of manual phenotyping, especially in higher organisms.
• The genetic basis of animal size, a complex trait, remains largely unknown.

Purpose of the Study:

• To develop an automated, high-throughput phenotyping system for fruit flies (Drosophila melanogaster).
• To overcome limitations in population size and replicate numbers for experimental evolution studies.
• To facilitate the investigation of the genetic basis of complex traits like animal size.

Main Methods:

• Development of the FlyCatwalk, an automated system for sorting live fruit flies based on morphometric traits.
• Quantification of body and wing morphology parameters using high-throughput, feature-based sorting.
• Validation of phenotyping results against standard manual procedures.

Main Results:

• The FlyCatwalk achieves four-fold higher throughput compared to manual processing.
• Phenotyping results from FlyCatwalk show strong correlation with manual methods.
• The system effectively removes previous bottlenecks in population size and replicate number for experimental evolution.

Conclusions:

• Automated, high-throughput phenotyping systems like FlyCatwalk are feasible and overcome limitations in experimental evolution.
• This approach enables larger-scale genetic studies of complex traits in model organisms.
• The FlyCatwalk technology can be adapted for diverse traits and experimental designs requiring high-throughput phenotyping.