Interpreting GC content differences across populations at polymorphic sites
- 1University of Pennsylvania
Abstract
Recent studies have reported consistent inter-population differences in GC content at polymorphic sites in multiple species, including humans. Specifically, populations that experienced recent bottlenecks exhibit lower average GC content at common polymorphic sites compared to non-bottlenecked groups: an observation previously interpreted as an indication of rapid evolution of base composition or shifts in mutation patterns. In this study, we investigate the evolutionary and technical factors driving these patterns across humans, mice, maize, and silkworm. In humans, the reported inter-population difference at common variants reverses among rare variants and becomes nearly negligible when all polymorphic sites are considered. Including rare variants similarly reduces the inter-population differences in other species examined. Across species, we observe that rare variants consistently exhibit higher GC content than common variants, reflecting differences in the relative abundance of mutation types across allele frequencies. We demonstrate that these observations arise from the combined effects of demographic history and an excess of GC[->]AT over AT[->]GC mutations, which is counteracted by GC-biased gene conversion (gBGC) over long evolutionary timescales. Forward-in-time simulations incorporating these processes and realistic parameters recapitulate the observed variation in GC content across populations and allele frequency bins. Overall, our findings show that the GC content at polymorphic sites is strongly shaped by the interaction among demographic history, GC[->]AT versus AT[->]GC mutation imbalance, and gBGC, rather than reflecting stable, genome-wide trends. Consequently, inter-population differences in GC content --especially at common variants-- should not be interpreted as evidence of ongoing divergence in base composition or population-specific shifts in mutation patterns.
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BibTeX
@misc{chandra2026interpreting,
title = {{Interpreting GC content differences across populations at polymorphic sites}},
author = {S. Chandra and Z. Gao},
howpublished = {bioRxiv},
year = {2026},
month = may,
doi = {10.64898/2026.05.16.725686},
url = {https://www.biorxiv.org/content/10.64898/2026.05.16.725686v2},
note = {CC BY},
}
RIS
TY - UNPB
TI - Interpreting GC content differences across populations at polymorphic sites
AU - S. Chandra
AU - Z. Gao
PY - 2026
DA - 2026/05/16
PB - bioRxiv
DO - 10.64898/2026.05.16.725686
UR - https://www.biorxiv.org/content/10.64898/2026.05.16.725686v2
AB - Recent studies have reported consistent inter-population differences in GC content at polymorphic sites in multiple species, including humans. Specifically, populations that experienced recent bottlenecks exhibit lower average GC content at common polymorphic sites compared to non-bottlenecked groups: an observation previously interpreted as an indication of rapid evolution of base composition or shifts in mutation patterns. In this study, we investigate the evolutionary and technical factors driving these patterns across humans, mice, maize, and silkworm. In humans, the reported inter-population difference at common variants reverses among rare variants and becomes nearly negligible when all polymorphic sites are considered. Including rare variants similarly reduces the inter-population differences in other species examined. Across species, we observe that rare variants consistently exhibit higher GC content than common variants, reflecting differences in the relative abundance of mutation types across allele frequencies. We demonstrate that these observations arise from the combined effects of demographic history and an excess of GC[->]AT over AT[->]GC mutations, which is counteracted by GC-biased gene conversion (gBGC) over long evolutionary timescales. Forward-in-time simulations incorporating these processes and realistic parameters recapitulate the observed variation in GC content across populations and allele frequency bins. Overall, our findings show that the GC content at polymorphic sites is strongly shaped by the interaction among demographic history, GC[->]AT versus AT[->]GC mutation imbalance, and gBGC, rather than reflecting stable, genome-wide trends. Consequently, inter-population differences in GC content --especially at common variants-- should not be interpreted as evidence of ongoing divergence in base composition or population-specific shifts in mutation patterns.
ER -