Dimensionality-Reduction in the Drosophila Wing as Revealed by Landmark-Free Measure-ments of Phenotype
Vasyl Alba, James E. Carthew, Richard W. Carthew, and Madhav Mani

TL;DR
This study introduces a mathematical method to analyze complex phenotypic variation in Drosophila wings, revealing a highly constrained, low-dimensional structure that simplifies understanding genotype-phenotype relationships.
Contribution
The paper presents a novel landmark-free, mathematical approach for describing phenotypic variation, demonstrating a single mode of variation in Drosophila wings.
Findings
Phenotypic variation is highly constrained in Drosophila wings.
A single integrated mode of variation explains most phenotypic differences.
The approach may be applicable to other genotype-phenotype studies.
Abstract
Organismal phenotypes emerge from a complex set of genotypic interactions. While technological advances in sequencing provide a quantitative description of an organism's genotype, characterization of an organism's physical phenotype lags far behind. Here, we relate genotype to the complex and multi-dimensional phenotype of an anatomical structure using the Drosophila wing as a model system. We develop a mathematical approach that enables a robust description of biologically salient phenotypic variation. Analysing natural phenotypic variation, and variation generated by weak perturbations in genetic and environmental conditions during development, we observe a highly constrained set of wing phenotypes. In a striking ex-ample of dimensionality reduction, the nature of varieties produced by the Drosophila developmental pro-gram is constrained to a single integrated mode of variation in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMorphological variations and asymmetry · Genetics, Bioinformatics, and Biomedical Research · Genetic Mapping and Diversity in Plants and Animals
