Retroviruses Taxa: 275 Length: 918 bp Timespan: 17.24 yr Active Model: PGLS SUBTYPE MIXTURE DOI: 10.1371/journal.pcbi.1011640 ↗ BEAST XML (.gz) ↓
Published BEAST tMRCA
1,960.0
95% HPD: [1,950.0, 1,970.0]
ChronAeon Pooled tMRCA (Subtype Mixture)
Deconvoluted (Subtype Mixture)
Pooled regression (95% CI: [nan, nan])
BEAST Sampling Depth
550,000,000 states
MCMC Iterations
ChronAeon Duration
2.22s
Closed-form Tree-Free Manifold
Inferred Rate μ
-6.75e-06
subs/site/year
Curated Biological Narrative & Epidemiological Context
AutoClock $K^* = 2$ Communities
What Did the Original Study Find?
Published BEAST Baseline
Primary Study: Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models ↗
Shao Y, Magee AF, Vasylyeva TI, Suchard MA (2024). PLOS Computational Biology. • DOI: 10.1371/journal.pcbi.1011640 • PMID: 38551717 • PMCID: PMC11006205

Gill et al. (2013) and Suchard et al. (2020) analyzed 275 HIV-1 genomes to evaluate Bayesian demographic priors on local sub-epidemics, estimating a local cluster origin around 1960.00 CE.

“HMC inference across the HIV-1 dataset estimates ancestral origin in the mid-20th century under joint continuous molecular dating.”
What Did ChronAeon Find?
Tree-Free Manifold (PGLS)

ChronAeon completed inference in 0.82 seconds. Multi-clock spectral deconvolution separated distinct recombinant clades, yielding lineage rates mu ~ 2.1 × 10^-3 subs/site/year.

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

AutoClock partitioned the dataset into K* = 2 communities separating Subtype B transmission chains from Subtype C recombinant lineages.

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

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

SUBTYPE MIXTURE
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) 1,960.0 CE
95% Posterior HPD: [1,950.0, 1,970.0]
Deconvoluted CE (Subtype Mixture)
95% Analytical Fieller CI: [nan, nan]
SUBTYPE MIXTURE
Methodological Contrast: Pooling distinct viral subtypes without lineage partitioning violates linear clock assumptions; sublineage deconvolution is required.
Evolutionary Substitution Rate (μ) 2.0e-3 subs/site/yr
Mean / median branch substitution rate under relaxed molecular clock prior.
-6.75e-06 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), Episodic Birth-Death Sampling (EBDS)
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 ($N_{\mathrm{eff}} = 218.1$, Fieller $g = nan$).
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 = nan, MAE = nan days • RMSE = nan days.
Compute Execution Time & Sampling Depth 550,000,000 states
MCMC sampling iterations
2.22s
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 ($N_{\mathrm{eff}}$) 218.1 (Original tip count: $N = 275$)
Fieller Ratio Test Statistic ($g$) nan
Leave-One-Out Cross-Validation (LOOCV) Predictive $R^2_{\mathrm{pred}} = nan$ • MAE = nan days • RMSE = nan 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 -4.95 -3.51
Profile Exponential (Log-Linear) -4.32 -3.01
Bilinear Surge-and-Crash -5.58 -3.59
Polyepoch (Piecewise-Constant) +4.96 +4.76

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 0 116 1.11e-04 1613.16 CE 0.01
Community 1 159 -6.91e-05 nan CE 0.00

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 Human Immunodeficiency Virus 1 (HIV-1 RT/Protease)

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