What does this research mean for the field?

Major tree sequence reconstruction methods (SINGER, Relate, and tsinfer) perform well for balanced genealogies, but their accuracy significantly declines as tree imbalance increases. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To benchmark the accuracy of prominent ancestral recombination graph inference tools in reconstructing imbalanced coalescent genealogies driven by cultural transmission of reproductive success or positive selection.

August 27, 2026Genome Biology and EvolutionOpen Access

Comparing ARG inference methods under transmission of reproductive success: tree imbalance matters

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Authors

FPFanny PouyetCentre National de la Recherche Scientifique FPFerdinand Petit JGJérémy GuezBroad Institute

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Implication

Simulation study reveals decreased accuracy in ancestral recombination graph inference methods under genealogic tree imbalance, highlighting challenges in modeling positive selection.

Key Points

To benchmark the accuracy of prominent ancestral recombination graph inference tools in reconstructing imbalanced coalescent genealogies driven by cultural transmission of reproductive success or positive selection.
Simulated genomic sequence data under diverse evolutionary scenarios generating varying degrees of tree imbalance.
Evaluated three inference software packages (SINGER, Relate, and tsinfer) against true simulated trees using three distinct tree imbalance indices.
Tested performance variations across different mutation rates, recombination rates, and sample sizes.
All three methods demonstrated high reconstruction accuracy under scenarios producing balanced genealogies.
Reconstruction accuracy for SINGER, Relate, and tsinfer declined consistently as tree imbalance increased.
Inference performance shifted substantially with variations in mutation rate, recombination rate, and sample size.

Cite This Study

Pouyet et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe99110c91c1e926213b3 https://doi.org/10.1093/gbe/evag215

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Implication

Simulation study reveals decreased accuracy in ancestral recombination graph inference methods under genealogic tree imbalance, highlighting challenges in modeling positive selection.

Comparing ARG inference methods under transmission of reproductive success: tree imbalance matters

Discussion

Member takes

Implication

Key Points

Cite This Study

Comparing ARG inference methods under transmission of reproductive success: tree imbalance matters

Discussion

Member takes

Implication

Key Points

Cite This Study

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