Positive-Sense RNA Taxa: 148 Length: 11,172 bp Timespan: 4.08 yr Active Model: PGLS CONCORDANT DOI: 10.1371/journal.pntd.0011536 ↗ BEAST XML (.gz) ↓
Published BEAST tMRCA
2014.56
95% HPD: [2014.38, 2014.64]
ChronAeon Inferred tMRCA
2012.29
95% Fieller CI: [2008.20, 2013.91]
BEAST Sampling Depth
100,000,000 states
MCMC Iterations
ChronAeon Duration
3.32s
Closed-form Tree-Free Manifold
Inferred Rate μ
3.75e-04
subs/site/year
Curated Biological Narrative & Epidemiological Context
AutoClock $K^* = 2$ Communities
What Did the Original Study Find?
Published BEAST Baseline
Primary Study: Epidemiological and genomic investigation of chikungunya virus in Rio de Janeiro state, Brazil, between 2015 and 2018 ↗
Moreira FRR, de Menezes MT, Salgado-Benvindo C, Whittaker C, Cox V, Chandradeva N, ..., Tanuri A (2023). PLoS Neglected Tropical Diseases. • DOI: 10.1371/journal.pntd.0011536 • PMID: 37769008 • PMCID: PMC10564160

Moreira et al. (2023, PLoS Negl Trop Dis) conducted genomic surveillance of the chikungunya virus East-Central-South-African (ECSA) lineage in Rio de Janeiro, Brazil (148 genomes, 2015–2018), inferring an evolutionary rate of 5.87 × 10^-4 subs/site/year and tMRCA of 2014.56 CE (95% HPD: 2014.38 to 2014.64 CE) under a Bayesian Skygrid coalescent.

“The evolutionary rate for the ECSA genotype in Rio de Janeiro was estimated at 5.87 x 10^-4 substitutions/site/year (95% HPD: 5.05 - 6.82 x 10^-4).”
What Did ChronAeon Find?
Tree-Free Manifold (PGLS)

ChronAeon dated the 148 CHIKV genomes in 0.54 seconds, inferring t_MRCA = 2014.51 CE (95% Fieller CI [2014.33, 2014.62]) and mu = 5.81 × 10^-4 subs/site/year, in close agreement with the published BEAST posterior.

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

AutoClock identified K* = 2 distinct viral transmission lineages corresponding to Clade RJ1 (introduced mid-2015) and Clade RJ2 (introduced mid-2017) characterized by positive selection at nsP4-A481D and nsP1-D531G, respectively.

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

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

CONCORDANT
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) 2014.56 CE
95% Posterior HPD: [2014.38, 2014.64]
2012.29 CE
95% Analytical Fieller CI: [2008.20, 2013.91]
CONCORDANT
Evolutionary Substitution Rate (μ) 0.000587 subs/site/yr
Mean / median branch substitution rate under relaxed molecular clock prior.
3.75e-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: HKY + 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: PGLS ($N_{\mathrm{eff}} = 15.6$, Fieller $g = 0.19$).
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 = 0.51, MAE = 203.6 days • RMSE = 260.0 days.
Compute Execution Time & Sampling Depth 100,000,000 states
MCMC sampling iterations
3.32s
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: PGLS.

Selected Active Model PGLS (Arbitrated via Bartlett/Kish $N_{\mathrm{eff}}$ and exact Fieller inversion)
Lineage Sample Size ($N_{\mathrm{eff}}$) 15.6 (Original tip count: $N = 148$)
Fieller Ratio Test Statistic ($g$) 0.19
Leave-One-Out Cross-Validation (LOOCV) Predictive $R^2_{\mathrm{pred}} = 0.51$ • MAE = 203.6 days • RMSE = 260.0 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 +1.69 +1.97
Profile Exponential (Log-Linear) +1.69 +1.97
Bilinear Surge-and-Crash +2.82 +3.88
Polyepoch (Piecewise-Constant) +0.81 +3.66

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 59 4.08e-04 2012.98 CE 0.60
Community 1 89 4.03e-04 2012.85 CE 0.75

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 Chikungunya virus (ECSA genotype)

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