Multispecies pangenomes reveal a pervasive influence of population size on structural variation

成果类型:
Article
署名作者:
Edwards, Scott V.; Fang, Bohao; Khost, Danielle; Kolyfetis, George E.; Cheek, Rebecca G.; Deraad, Devon A.; Chen, Nancy; Fitzpatrick, John W.; Mccormack, John E.; Funk, W. Chris; Ghalambor, Cameron K.; Garrison, Erik; Guarracino, Andrea; Li, Heng; Sackton, Timothy B.
署名单位:
Harvard University; Harvard University; Harvard University; Colorado State University System; Colorado State University Fort Collins; University of California System; University of California Los Angeles; University of Rochester; Cornell University; Occidental College; Norwegian University of Science & Technology (NTNU); University of Tennessee System; University of Tennessee Health Science Center; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
刊物名称:
SCIENCE
ISSN/ISSBN:
0036-8075; 1095-9203
DOI:
10.1126/science.adw1931
发表日期:
2025-12-11
页码:
eadw1931
关键词:
ADAPTIVE EVOLUTION GENOMIC CONSEQUENCES GENETIC MONOGAMY APHELOCOMA JAYS dna mutations rates performance inference phylogeny
摘要:
Structural variants (SVs) are widespread in vertebrate genomes, yet their evolutionary dynamics remain poorly understood. Using 45 long-read de novo genome assemblies and pangenome tools, we analyze SVs among three closely related species of North American jays (Aphelocoma, scrub-jays) displaying a 55-fold range in effective population size. We find rapid evolution of genome architecture, including similar to 100-megabase decreases in genome size driven by shifts in complex satellite landscapes. SVs exhibit slightly deleterious dynamics modulated by variant length and population size, with consistent evidence of adaptive fixation only in the largest population. Gene copy number variants exhibit an inverse relationship with population size, indicating strongly deleterious dynamics, with consequences for gene expression. Our long-read dataset and pangenome analysis demonstrate how population size shapes genome complexity.
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