Genomes from 117 vertebrate species reveal rapidly evolving segmental-duplication landscapes

Segmental duplications are major drivers of evolutionary innovation, yet their dynamics across vertebrates remain poorly understood. Here, we identify segmental duplications from long-read-sequenced genomes of 117 vertebrates and one starfish, generating the largest multi-species dataset of its kind. We find that vertebrate genomes show a higher propensity for tandem duplications than for interspersed duplications. However, when focusing only on subtelomeric regions, avian and mammalian genomes show the opposite propensity toward interspersed duplications. We also observe that, across vertebrates, tandem duplications tend to be larger than interspersed duplications. Next, we construct a segmental-duplication network for each species and use network-derived metrics to quantify the duplication landscape for that species. We then compute interspecies distances for each metric and find that these distances show at most weak correlations with phylogenetic distance, indicating that segmental-duplication landscapes evolve rapidly. Functional enrichment analysis of hyper-duplicated genes reveals a strong enrichment in platypus for pheromone response, driven by the expansion of the vomeronasal pheromone receptor V1R gene family. Overall, our results uncover the general properties of vertebrate segmental duplications, demonstrate the lability of segmental-duplication landscapes, and highlight the utility of network-based approaches for studying genome evolution.

Authors

Institutions

Publication Details

Journal
Genome Biology and Evolution
Published
2026-02-26
DOI
https://doi.org/10.1093/gbe/evag043
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomes from 117 vertebrate species reveal rapidly evolving segmental-duplication landscapes

Faraz Hach, Ibrahim Numanagić, Saiful Islam‎, Omer Gokcumen et al.
Genome Biology and Evolution
Genomics and Phylogenetic Studies
article

Genomes from 117 vertebrate species reveal rapidly evolving segmental-duplication landscapes

Faraz Hach, Ibrahim Numanagić, Saiful Islam‎, Omer Gokcumen, Alber Aqil, Naoki Masuda
article en

Abstract

Segmental duplications are major drivers of evolutionary innovation, yet their dynamics across vertebrates remain poorly understood. Here, we identify segmental duplications from long-read-sequenced genomes of 117 vertebrates and one starfish, generating the largest multi-species dataset of its kind. We find that vertebrate genomes show a higher propensity for tandem duplications than for interspersed duplications. However, when focusing only on subtelomeric regions, avian and mammalian genomes show the opposite propensity toward interspersed duplications. We also observe that, across vertebrates, tandem duplications tend to be larger than interspersed duplications. Next, we construct a segmental-duplication network for each species and use network-derived metrics to quantify the duplication landscape for that species. We then compute interspecies distances for each metric and find that these distances show at most weak correlations with phylogenetic distance, indicating that segmental-duplication landscapes evolve rapidly. Functional enrichment analysis of hyper-duplicated genes reveals a strong enrichment in platypus for pheromone response, driven by the expansion of the vomeronasal pheromone receptor V1R gene family. Overall, our results uncover the general properties of vertebrate segmental duplications, demonstrate the lability of segmental-duplication landscapes, and highlight the utility of network-based approaches for studying genome evolution.

Genome Biology and Evolution
Buffalo State University (US), University of British Columbia (CA), University of Victoria (CA), University of Michigan (US), RIKEN Center for Computational Science (JP), Prevention of Organ Failure (CA), The Prostate Centre (GB), University at Buffalo, State University of New York (US), Kobe University (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Genomics and Phylogenetic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.