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Article

Geometric Structure of Genomes Across the Tree of Life: Toward a Geometric Theory of Sequence Structure

by
Valentin E. Brimkov
1,* and
Reneta P. Barneva
2
1
Mathematics Department, SUNY Buffalo State University, 1300 Elmwood Ave., Buffalo, NY 14222, USA
2
School of Business, SUNY Fredonia, 280 Central Ave., Fredonia, NY 14063, USA
*
Author to whom correspondence should be addressed.
Mathematics 2026, 14(10), 1760; https://doi.org/10.3390/math14101760
Submission received: 29 November 2025 / Revised: 1 May 2026 / Accepted: 15 May 2026 / Published: 20 May 2026
(This article belongs to the Section E3: Mathematical Biology)

Abstract

This work develops a geometric and statistical framework for analyzing the structure of biological sequences and explores its implications for understanding the emergence and evolution of life. Motivated by questions concerning the transition from prebiotic chemistry to living systems, the quantification of negentropy in organic matter, and the distinction between random and biologically viable sequences, we introduce mathematical descriptors that measure deviation from linearity and related geometric irregularities of self-replicating macromolecules. These descriptors reveal a pronounced geometric separation between biological DNA and random sequences, underscoring the non-random structural organization characteristic of living systems. Using these descriptors, we compare a broad range of species across the Tree of Life and examine how geometric complexity varies between primitive and more advanced organisms. We further investigate whether these measures provide a natural way to compare organismal complexity, characterize the structure of viable sequence space, and identify potential constraints on evolutionary trajectories. The framework also offers an initial perspective on how natural selection and stochastic mutations may jointly influence genomic organization. Finally, we outline speculative connections between increasing geometric irregularity and the emergence of biological complexity, suggesting that such geometric transitions may offer insight into the origins of life and the theoretical limits of evolutionary development.
Keywords: string; bipartite graph; tree; monotone path; geometric descriptor; local maximum; helix; entropy; negentropy; DNA sequence; random sequence string; bipartite graph; tree; monotone path; geometric descriptor; local maximum; helix; entropy; negentropy; DNA sequence; random sequence

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MDPI and ACS Style

Brimkov, V.E.; Barneva, R.P. Geometric Structure of Genomes Across the Tree of Life: Toward a Geometric Theory of Sequence Structure. Mathematics 2026, 14, 1760. https://doi.org/10.3390/math14101760

AMA Style

Brimkov VE, Barneva RP. Geometric Structure of Genomes Across the Tree of Life: Toward a Geometric Theory of Sequence Structure. Mathematics. 2026; 14(10):1760. https://doi.org/10.3390/math14101760

Chicago/Turabian Style

Brimkov, Valentin E., and Reneta P. Barneva. 2026. "Geometric Structure of Genomes Across the Tree of Life: Toward a Geometric Theory of Sequence Structure" Mathematics 14, no. 10: 1760. https://doi.org/10.3390/math14101760

APA Style

Brimkov, V. E., & Barneva, R. P. (2026). Geometric Structure of Genomes Across the Tree of Life: Toward a Geometric Theory of Sequence Structure. Mathematics, 14(10), 1760. https://doi.org/10.3390/math14101760

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