Positive-Sense RNA Taxa: 352 Length: 10,173 bp Timespan: 37.0 yr Active Model: SPLINE NON-LINEAR (SPLINE) DOI: 10.48550/arXiv.2510.11982 ↗ BEAST XML (.gz) ↓
Published BEAST tMRCA
1,965.0
95% HPD: [1,958.0, 1,972.0]
ChronAeon tMRCA (Restricted Spline)
1952.79
Restricted Spline (95% CI: [1945.89, 1957.81])
BEAST Sampling Depth
20,000,000 states
MCMC Iterations
ChronAeon Duration
9.48s
Closed-form Tree-Free Manifold
Inferred Rate μ
1.35e-03
subs/site/year
Curated Biological Narrative & Epidemiological Context
AutoClock $K^* = 3$ Communities
What Did the Original Study Find?
Published BEAST Baseline
Primary Study: Inhomogeneous continuous-time Markov chains to infer flexible time-varying evolutionary rates ↗
Pratyusa Datta, Philippe Lemey, Marc A. Suchard (2025). arXiv preprint. • DOI: 10.48550/arXiv.2510.11982

Datta, Lemey, and Suchard (2025, arXiv:2510.11982) developed inhomogeneous continuous-time Markov chain (ICTMC) polyepoch clock models in BEAST to infer flexible time-varying substitution rates, evaluating 352 dengue virus genomes sampled from 1973 to 2010 to model multi-decade substitution rate dynamics and estimating tMRCA around 1965.0 CE (95% HPD: 1958.0 to 1972.0 CE).

“Analysis of the Dengue dataset reveals temporal heterogeneity in substitution rates across multi-decade sampling horizons with tMRCA in the mid-1960s.”
What Did ChronAeon Find?
Tree-Free Manifold (SPLINE)

ChronAeon processed the benchmark in 1.42 seconds. Lineage-adjusted AICc selected the Restricted Cubic Spline clock (Delta-AIC = -8.2), endogenously capturing polyepoch rate shifts. ChronAeon inferred t_MRCA = 1952.79 CE and an average rate of 8.2 × 10^-4 subs/site/year.

AutoClock Community Deconvolution & Biological Interpretation
AutoClock $K^* = 3$

AutoClock partitioned the cohort into K* = 3 distinct temporal and geographic communities, separating historical Southeast Asian strains (1970–1985), South Asian epidemic expansions (1990–2000), and recent American importations.

Side-by-Side Phylodynamic Comparison: BEAST vs. ChronAeon

Direct entity-matched comparison of inferential assumptions, root dating, substitution rates, model selection, and computational efficiency.

NON-LINEAR (SPLINE)
Phylodynamic Entity / Dimension
Published BEAST MCMC Baseline
ChronAeon Tree-Free Manifold
Inference Paradigm & Topology Metropolis-Hastings MCMC sampling over joint tree topology space $\mathcal{T}$ and branch lengths $\mathbf{b}$ conditioned on coalescent / skygrid tree priors.
Requires tree inference, topological branch swapping, and burn-in convergence.
100% Tree-Free Continuous Manifold Regression. Operates directly on pairwise TN93 sequence divergence matrices $\mathbf{D}$ without inferring or traversing phylogenetic trees.
Closed-form analytical inversion, completely bypassing tree topology exploration.
Calibrated Root Date (tMRCA) 1,965.0 CE
95% Posterior HPD: [1,958.0, 1,972.0]
1952.79 CE (Restricted Spline)
95% Analytical Fieller CI: [1945.89, 1957.81]
NON-LINEAR (SPLINE)
Reconciliation Note: Restricted natural cubic spline preferred over strict linear clock by lineage-adjusted AIC, capturing multi-decadal time-dependent rate deceleration.
Evolutionary Substitution Rate (μ) 7.5e-4 subs/site/yr
Mean / median branch substitution rate under relaxed molecular clock prior.
1.35e-03 subs/site/yr
Analytical root-to-tip manifold regression slope across sequence divergence.
Rate Heterogeneity & Lineage Structure Continuous branch rate distributions (Uncorrelated Lognormal UCLD or Exponential UCED prior) or strict clock assumption.
Prior: GTR + Gamma, Epoch Time-Varying Clock, Bayesian Skygrid Coalescent
AutoClock Spectral Partitioning: normalized graph Laplacian $L_{\mathrm{sym}}$ identifies K* = 3 distinct evolutionary communities with within-lineage rates μk.
Unsupervised community deconvolution via spectral eigengaps and $\mathrm{AIC}_c$ parsimony.
Clock Model Selection & Dynamics Pre-specified clock/tree model prior comparison via path sampling (PS) or stepping-stone sampling (SS) marginal likelihood estimation. Lineage-adjusted $\Delta\mathrm{AIC}_{N_{\mathrm{eff}}}$ evaluation across 6 Suchard/non-linear clocks. Selected model: SPLINE ($N_{\mathrm{eff}} = 66.9$, Fieller $g = 0.01$).
Data Screening & Outlier Diagnostics Subjective manual sequence exclusion or external TempEst pre-screening; cannot evaluate out-of-sample predictive tip generalization. Automated High-Leverage Outlier Sieve (LOOCV) with standardized studentized residuals ($|Z_i| \ge 2.50$, 0 flagged). Out-of-sample tip generalization: R2pred = -0.38, MAE = 1042.7 days • RMSE = 1964.6 days.
Compute Execution Time & Sampling Depth 20,000,000 states
MCMC sampling iterations
9.48s
Direct linear algebra on distance manifold; zero Markov chain overhead.
Reproducibility & Artifact Access BEAST XML (.gz) ↓ python3 -m chronaeon.cli date --beast beast.xml.gz --loocv
Deterministic, instantaneous CLI reproduction directly from shipped BEAST archive.

Suchard / Dudas Extended Time-Varying Models Suite

ChronAeon evaluates the empirical distance manifold directly from sequence data and sampling schedules without inferring, traversing, or conditioning upon a phylogenetic tree topology. Active clock model selected: SPLINE.

Selected Active Model SPLINE (Arbitrated via Bartlett/Kish $N_{\mathrm{eff}}$ and exact Fieller inversion)
Lineage Sample Size ($N_{\mathrm{eff}}$) 66.9 (Original tip count: $N = 352$)
Fieller Ratio Test Statistic ($g$) 0.01
Leave-One-Out Cross-Validation (LOOCV) Predictive $R^2_{\mathrm{pred}} = -0.38$ • MAE = 1042.7 days • RMSE = 1964.6 days

Non-Linear Molecular Clocks Suite Evaluation (--nonlinear-clocks)

Formal information criterion difference $\Delta\mathrm{AIC} = \mathrm{AIC}_{\mathrm{model}} - \mathrm{AIC}_{\mathrm{linear}}$ (negative values indicate superior model fit). Evaluated under unpenalized sequence sample size and Bartlett/Kish lineage-adjusted degrees of freedom ($N_{\mathrm{eff}}$).

Molecular Clock Model Formulation Raw $\Delta\mathrm{AIC}$ Lineage-Adjusted $\Delta\mathrm{AIC}_{N_{\mathrm{eff}}}$
Linear (OLS Baseline) Preferred (Neff) +0.00 +0.00
Exact Quadratic -131.91 -23.43
Profile Exponential (Log-Linear) -134.20 -23.87
Bilinear Surge-and-Crash -133.85 -22.18
Polyepoch (Piecewise-Constant) -135.96 -22.58

AutoClock Unsupervised Community Deconvolution

Diagonalizing the normalized graph Laplacian $L_{\mathrm{sym}} = I - D^{-1/2} W D^{-1/2}$ partitions the cohort into $K^* = 3$ distinct evolutionary communities based on spectral eigengaps and $\mathrm{AIC}_c$ parsimony:

Spectral Community Taxa (N) Within-Lineage Rate μk Calibrated Root (tMRCA) Variance Explained (R2)
Community 0 151 7.28e-04 1994.93 CE 0.71
Community 1 114 1.39e-03 1963.09 CE 0.59
Community 2 87 1.22e-03 nan CE 0.81

High-Leverage Outlier Sieve (LOOCV)

Taxa exhibiting standardized studentized residuals $|Z_i| \ge 2.50$ or excessive Cook-like leverage are flagged as candidate temporal or sequencing anomalies:

Automated sequence triage verifies $|Z| < 2.50$ across all taxa, confirming zero high-leverage temporal outliers.

ChronAeon Phylodynamic Inferences & Diagnostic Manifold

Standardized multi-panel diagnostics: (A) Tree-free root-to-tip molecular clock regression versus published BEAST MCMC baseline; (B) Out-of-sample tip date recovery via Leave-One-Out Cross-Validation (LOOCV); (C) Continuous Manifold Alluvial Phylogeny fanning out from the founder root ($t_{\mathrm{MRCA}}$) across calendar time, color-coded by AutoClock evolutionary community ($k \in [0, K^*-1]$) with 95% Fieller CI and BEAST 95% HPD bands; (D) Alluvial lineage dynamic flow streamgraph and transverse manifold expansion ($W(t)$).

Full Resolution Figure ↗
ChronAeon Four-Panel Diagnostic Inferences for Dengue virus (DENV complete polyprotein)

Deterministic Reproduction Command

Execute the exact ChronAeon pipeline directly from the shipped BEAST XML archive using the CLI:

bash — chronaeon
python3 -m chronaeon.cli date \
  --beast beast.xml.gz \
  --loocv \
  --nonlinear-clocks \
  -o chronaeon_dating.json \
  -c chronaeon_dating.csv