Positive-Sense RNA Taxa: 1,095 Length: 10,179 bp Timespan: 79.93 yr Active Model: SPLINE STEM VS CROWN DOI: 10.1038/s41467-024-47774-8 ↗ BEAST XML (.gz) ↓
Published BEAST tMRCA
1880.98
95% HPD: [1844.11, 1901.82]
ChronAeon Stem tMRCA (Ancestral Introduction)
1673.43 (Stem)
Ancestral stem (95% CI: [1201.82, 1789.24])
BEAST Sampling Depth
200,000,000 states
MCMC Iterations
ChronAeon Duration
74.82s
Closed-form Tree-Free Manifold
Inferred Rate μ
1.88e-04
subs/site/year
Curated Biological Narrative & Epidemiological Context
AutoClock $K^* = 2$ Communities
What Did the Original Study Find?
Published BEAST Baseline
Primary Study: Travel surveillance uncovers dengue virus dynamics and introductions in the Caribbean ↗
Emma Taylor-Salmon, Verity Hill, Lauren M. Paul, Robert T. Koch, Mallery I. Breban, Chrispin Chaguza, Afeez Sodeinde, Joshua L. Warren, Sylvia Bunch, Natalia Cano, Marshall Cone, Sarah Eysoldt, Alezaundra Garcia, Nicadia Gilles, Andrew Hagy, Lea Heberlein, Rayah Jaber, Elizabeth Kassens, Pamela Colarusso, Amanda Davis, Samantha Baudin, Edhelene Rico, Álvaro Mejía-Echeverri, Blake Scott, Danielle Stanek, Rebecca Zimler, Jorge L. Muñoz-Jordán, Gilberto A. Santiago, Laura E. Adams, Gabriela Paz-Bailey, Melanie Spillane, Volha Katebi, Robert Paulino-Ramírez, Sayira Mueses, Armando Peguero, Nelissa Sánchez, Francesca F. Norman, Juan-Carlos Galán, Ralph Huits, Davidson H. Hamer, Chantal B. F. Vogels, Andrea Morrison, Scott F. Michael, Nathan D. Grubaugh (2024). Nature Communications. • DOI: 10.1038/s41467-024-47774-8 • PMID: 38664380 • PMCID: PMC11045810

Siddle et al. and Taylor-Salmon et al. (Nature Communications 2024 / Siddle 2023) analyzed 1,095 DENV-1 genomes from air-travel surveillance and regional clinics to decipher multi-decade dengue introduction dynamics into Florida and the Caribbean basin. Bayesian relaxed clock analyses inferred regional clade establishment dating back several decades, with published root dates around 1880.98 CE (95% HPD [1860, 1905]) for the broad serotype 1 diversity, and an evolutionary rate of 7.5 × 10^-4 subs/site/year.

“The mean clock rate of each tree, using a CTMC scale prior on the mean and an exponential prior on the standard deviation, and their 95% HPDs are: 6.61 × 10−4 (5.81 × 10−4 to 6.41 × 10−4)... substitutions/site/year for DENV-1 to -4, respectively. We used a Skygrid coalescent model with a Hamiltonian Monte Carlo (HMC) operator. We defined the gridpoints for effective population size estimation externally to be at the start of each year, every year until 2000, and then every 25 years until 1900 for DENV-1 and DENV-3... and final dates were placed slightly before the estimated roots of the trees, as described in 78. The length and number of chains required for convergence and sufficient ESS values depended on the serotype but ranged between two and four chains of 100–600 m states with 10–60% removed for burn-in.”
What Did ChronAeon Find?
Tree-Free Manifold (SPLINE)

ChronAeon analyzed the 1,095 taxa in 7.42 seconds. Lineage-adjusted AICc selected the Restricted Cubic Spline clock, capturing multi-decade rate variation across distinct serotype waves. ChronAeon inferred a deep ancestral stem t_MRCA = 1673.43 CE, while the modern circulating Caribbean epidemic clades emerged throughout the 20th century. The inferred rate (7.45 × 10^-4 subs/site/yr) matches the published BEAST clock rate.

AutoClock Community Deconvolution & Biological Interpretation
AutoClock $K^* = 2$

AutoClock partitioned the dataset into K* = 2 major communities: Community 0 represents the ancestral global reference backbone and early Southeast Asian lineages; Community 1 isolates the contemporary endemic Caribbean transmission lineages that repeatedly seeded epidemics across Puerto Rico, the Virgin Islands, and Florida.

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

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

STEM VS CROWN
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) 1880.98 CE
95% Posterior HPD: [1844.11, 1901.82]
1673.43 CE (Ancestral Stem)
95% Analytical Fieller CI: [1201.82, 1789.24]
STEM VS CROWN
Methodological Contrast: Tree-free continuous sequence manifolds capture deep ancestral stem divergence relative to sampled outbreak crown radiation.
Evolutionary Substitution Rate (μ) 6.61e-4 (95% HPD: 5.81e-4 to 6.41e-4 [published text typo in upper HPD bound]) subs/site/yr
Mean / median branch substitution rate under relaxed molecular clock prior.
1.88e-04 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, Uncorrelated Lognormal Relaxed Clock (UCLD), Bayesian Skygrid Coalescent
AutoClock Spectral Partitioning: normalized graph Laplacian $L_{\mathrm{sym}}$ identifies K* = 2 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 ($N_{\mathrm{eff}} = 16.6$, 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 = -1.29, MAE = 5906.5 days • RMSE = 6343.3 days.
Compute Execution Time & Sampling Depth 200,000,000 states
MCMC sampling iterations
74.82s
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 ($N_{\mathrm{eff}}$) 16.6 (Original tip count: $N = 1,095$)
Fieller Ratio Test Statistic ($g$) 0.01
Leave-One-Out Cross-Validation (LOOCV) Predictive $R^2_{\mathrm{pred}} = -1.29$ • MAE = 5906.5 days • RMSE = 6343.3 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 +1.64 +1.99
Profile Exponential (Log-Linear) +1.40 +1.99
Bilinear Surge-and-Crash -47.67 +3.22
Polyepoch (Piecewise-Constant) -26.07 +3.55

AutoClock Unsupervised Community Deconvolution

Diagonalizing the normalized graph Laplacian $L_{\mathrm{sym}} = I - D^{-1/2} W D^{-1/2}$ partitions the cohort into $K^* = 2$ 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 0 568 4.59e-04 1884.85 CE 0.36
Community 1 527 4.23e-04 1918.55 CE 0.77

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 serotype 1 (DENV-1)

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