Related Experiment Video
Updated: Jan 16, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
The mutation landscape of Daphnia obtusa reveals evolutionary forces shaping genome stability
Ruyun Deng1, Feng Guo1, Wen Wei2
1Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, School of Life Sciences, Central China Normal University, Wuhan, 430079, China.
Abstract:
Spontaneous mutations are the primary source of genetic variation and play a central role in shaping evolutionary processes. To investigate mutational dynamics in Daphnia obtusa, we generated a chromosome-level genome assembly spanning 129.4 Mb across 12 chromosomes, encompassing 15,321 predicted protein-coding genes. Leveraging whole-genome sequencing of eight mutation accumulation (MA) lines propagated for an average of 482 generations (spanning over 20 years), we estimated a spontaneous single nucleotide mutation (SNM) rate of 2.23 × 10-9 and an indel mutation rate of 2.75 × 10-10 per site per generation. The SNM spectrum was strongly biased toward C:G > T:A transitions. Comparative analyses with natural population data revealed that exonic mutations observed in the MA lines were significantly less likely to be present in standing variation than intronic or intergenic mutations, suggesting that purifying selection in natural populations acts to remove deleterious alleles. We also identified 48 de novo loss-of-heterozygosity (LOH) events, comprising 8 heterozygous deletions and 40 gene conversion events. The genome-wide gene conversion rate was estimated at 2.62 × 10-5 per heterozygous site per generation. These findings provide a comprehensive view of the mutation spectrum, selective pressures, and mechanisms underlying genome stability in D. obtusa.
Related Concept Videos
Mutation, Gene Flow, and Genetic Drift
Genetic Drift
Gene Evolution - Fast or Slow?
In contrast, regions which code...
Genetics of Speciation
Overview of Transposition and Recombination
Evolutionary Relationships through Genome Comparisons

