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Updated: Jul 16, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Extreme genomic variation in a natural population
Kerrin S Small1, Michael Brudno, Matthew M Hill
1Departments of Genetics and Pathology, Stanford University Medical Center, Stanford, CA 94305-5324, USA.
The sea squirt Ciona savignyi shows the highest genetic diversity ever seen in a multicellular organism, driven by a large population size and strong natural selection. This provides key evidence supporting population genetic theories.
Area of Science:
- Genomics
- Evolutionary Biology
- Marine Biology
Background:
- Whole-genome sequence data are crucial for understanding genetic variation within species.
- Population genetic theory relies on analyzing intraspecific variation to test evolutionary hypotheses.
- The urochordate Ciona savignyi is a marine invertebrate model organism.
Purpose of the Study:
- To analyze intraspecific variation in Ciona savignyi using whole-genome data.
- To test predictions of population genetic theory regarding population size and selection.
- To investigate the causes of extreme genetic diversity in a multicellular organism.
Main Methods:
- Whole-genome sequencing of natural Ciona savignyi populations.
- Quantification of single-nucleotide and structural polymorphism rates.
- Analysis of effective population size and evidence for purifying selection.
Main Results:
- Ciona savignyi exhibits the highest rates of single-nucleotide and structural polymorphism documented in a multicellular organism.
- Extreme heterozygosity is linked to a large effective population size.
- Evidence of strong purifying selection was detected, aligning with neutral theory predictions.
Conclusions:
- The study provides unprecedented insight into the dynamics of highly polymorphic genomes.
- Results offer significant empirical support for population genetic theory concerning population size, heterozygosity, and natural selection.
- Ciona savignyi serves as a model for understanding extreme genetic diversity and evolutionary processes.
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