Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.10.18.759944

Mathematical genomics of SRY proteins and their associated HMG-Box domains across mammals

Abstract

Male sex determination in mammals depends on sex-determining region Y (SRY), a transcription factor whose high-mobility group box (HMG box) binds and bends DNA to activate SOX9. The divergent N- and C-terminal domains lack sequence homology and have been dismissed as passive linkers, yet alignment-based homology cannot reveal whether they retain a hidden compositional grammar. We applied quantitative genomics to 65 full-length mammalian SRY proteins and 38 HMG-box subsequences across 75 mammals, integrating amino acid and dipeptide compositions, Shannon entropy, dominant-residue profiles, hydropathy-based n-gram spectra, longest hydropathy stretches, and cumulative proximity. The HMG box is tightly constrained: basic residues dominated, cysteine was nearly absent, entropy clustered near 4.0, polar content averaged 58.44\%, and 25 of 38 HMG boxes shared 57.97\% polar residues, whereas full-length SRY varied more, with rodents showing high polar and glutamine-rich profiles and cetaceans low polar content. Proximity-based clustering was more taxonomically consistent at the HMG level, while terminal regions blurred domain-level signals. Across 65 SRY proteins and 38 HMG domains, intrinsic disorder was the dominant predicted state, and a polyQ-rich rodent SRY illustrated how low-complexity repeats can produce misleading ordered predictions, underscoring the need for consensus disorder analysis in rapidly evolving intrinsically disordered regions. Cumulative proximity analysis identified \textit{Bos taurus} and \textit{Bos grunniens} as the only pair proximally clustered at both the full-length SRY and SRY-HMG levels, establishing multivariate proximity as a stringent criterion of compositional similarity satisfied by a single mammalian pair. These results suggest that SRY and its HMG box each carry a distinct compositional grammar, quantifiable only through alignment-independent signatures, with compositional individuality being the rule rather than the exception. These quantitative signatures provide a framework for interpreting SRY variation, assessing clinical mutations, and understanding evolutionary pressures shaping sex determination. Denser taxon sampling, structural modeling, and experimental tests are needed to clarify whether HMG-box drift and terminal-region variation affect DNA binding, bending, or reproductive function.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hassan, D. S. S., Mukherjee, N., Sil, M., GOSWAMI, A., Dayhoff, G. W., Anisimov, A. P., Uversky, V. N.. 2026-10-25. Mathematical genomics of SRY proteins and their associated HMG-Box domains across mammals. https://doi.org/10.64898/2026.10.18.759944

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Carrier-Limited Release Risk in Electrospun Nanofibers for Regenerative Endodontics: Constraint Discovery from 25 Formulations

Regenerative endodontics needs an intracanal carrier that keeps disinfecting across a dressing interval that clinicians schedule at one to four weeks, without harming the stem cells that rebuild the pulp. We ask what one completed 25-formulation electrospinning campaign of poly(vinylpyrrolidone) (PVP) fibers carrying metronidazole, ciprofloxacin, minocycline and Ca(OH)2 can decide, and use machine learning for constraint discovery and decision support rather than as a new predictor. After an audit against the source thesis, logistic regression predicts fine-fiber formation at 96% leave-one-out accuracy, but a one-threshold rule does as well, the gain over the 80% majority baseline is not significant (exact McNemar p = 0.125), and accuracy falls to 84% when mixture loading is encoded per component. Diameter models interpolate within formulation families (ridge MAE 193 nm, 95% CI 96 to 317 nm) and fail across them (R^2 < 0). Because the campaign never measured release, we assemble a same-drug, cross-carrier evidence table: 17 bounded metronidazole and ciprofloxacin observations from seven studies, with two-sided censoring. Water-soluble carriers (PVP, PVA) completed release within 80 h (PVP within 8 h); no water-insoluble monolithic carrier reached 90% within its observation window, releasing 1.5 to 50%; both within-study comparisons separate at matched loading; and blend, core-shell and thick-mat architectures released over 3 to 28 days. The PVP mats therefore carry a carrier-limited release risk, not a proven ceiling, and one dissolution experiment can confirm or overturn it. A censoring-aware screen keeps three necessarily and one possibly nondominated formulation, and fixed-budget replays show that uncertainty sampling finds failed formulations sooner, except the one it is confidently wrong about.

bioinformatics↗

CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers

Cell- and tissue-type-specific DNA methylation markers provide epigenetic signatures of cellular identity and are widely used to infer cellular origin from bulk and single-cell methylomes. Existing resources mainly emphasize disease-associated biomarkers, methylome atlases, genomic annotations or RNA-based cell markers, leaving an unmet need for an integrated region-level resource dedicated to such markers. Here we present CellMethMarker (http://gu-zhanglab.hfcas.ac.cn/CellMethMarker), a curated database integrating 347,514 de novo markers derived from uniformly processed whole-genome and reduced-representation bisulfite sequencing datasets, 2,203,507 literature-derived marker records and harmonized metadata for 2,810 samples. CellMethMarker enables cell- and tissue-centered marker retrieval, coordinate-based search, genome-browser visualization, interactive methylation analysis and data download. In an independent single-cell methylome atlas, these markers recover the expected cell-type-associated methylation patterns, and a platform-matched reference built from them lowers the mean deconvolution error from 0.365 to 0.144. CellMethMarker therefore links region-level DNA methylation variation to cellular identity and supports methylome-based cell-type annotation and deconvolution.

bioinformatics↗

IG-28 enables identification and quantification of high-confidence isoforms from large bulk and single-cell full-length cDNA datasets

The technology to sequence full-length transcriptomes from bulk and single-cell samples has rapidly advanced. As a result, full-length cDNA datasets now reach billions of reads in size which is beyond the capability of most established isoform identification tools. Here, we introduce IG-28 which addresses this challenge with its capability to process and analyze large fl-cDNA datasets fast and using minimal computational resources. In contrast to its predecessor Mandalorion, IG-28 is not limited to bulk fl-cDNA but is capable of parsing, processing, and analyzing single-cell fl-cDNA datasets. It does so in a lightweight, flexible manner, integrating seamlessly with established scRNA-seq analysis workflows. We benchmarked IG-28 against a variety of established and new isoform identification tools using several bulk and a complex single-cell fl-cDNA dataset and found that IG-28 consistently outperformed the other tools by identifying high-confidence public isoforms.

bioinformatics↗