J Syst Evol

• Research Article •     Next Articles

Genomic coordination of nucleotide skews and gene strand distribution driven by GC-content in prokaryotes

Wenkai Teng1*, Xiaofeng Zhou1, Lianghu Qu1, Xiao Feng1*, and Lingling Zheng1*   

  1. 1School of Agriculture and Biotechnology, Sun Yat-sen University Shenzhen Campus, Shenzhen 518107, China
    *Authors for correspondence. Wenkai Teng. E-mail: tengwk3@mail.sysu.edu.cn; Xiao Feng. E-mail: fengx83@mail.sysu.edu.cn; Lingling Zheng. E-mail: zhengll33@mail.sysu.edu.cn
  • Received:2026-02-11 Accepted:2026-05-22
  • Supported by:
    This research was partly supported by the National Key R&D Program of China (no. 2022YFC3400401), the National Natural Science Foundation of China (nos. 32470599, 32270604), the Natural Science Foundation of Guangdong Province (nos. 2021A1515010542, 2022A1515011321, 2026A1515010528), and the Shenzhen Natural Science Foundation in Basic Research Fund (no. JCYJ20250604175316022).

Abstract: Understanding how prokaryotic genomes coordinate nucleotide composition and gene distribution is a central yet unresolved question in genome evolution. Across different genomes, GC-content, nucleotide asymmetries, and biased gene distribution between replication strands are tightly associated, but existing explanations typically address only individual components and lack a unified causal framework. Here, by analyzing 4,012 complete sequences, we show that the variation in GC-content, together with intrinsic constraints imposed by the genetic code and selection, can account for the coordinated evolution of GC-skew, AT-skew and gene strand bias (GS-bias). We show that decreasing GC-content inevitably influences both synonymous codon usage and amino acid usage, thereby enforcing stronger GC- and AT-skews in coding genes and driving a shift between “typical” (GC-skew > 0, AT-skew < 0, and GS-bias > 0 in the leading strand) and “atypical” (GC-skew > 0, AT-skew > 0, and GS-bias > 0) modes of organization. Grounded in first principles, we propose an evolutionary framework that integrates previously proposed hypotheses. This framework explains why atypical organization emerges primarily in low-GC genomes, reveals that mutational biases likely evolved to accommodate the skew requirements of coding genes, and highlights the importance of internal constraints on prokaryotic genome evolution.

Key words: prokaryotes, GC-content, nucleotide skew, gene distribution, genetic code, genome organization