Cobraa: A Coalescence-Based Model Infers a Structured Ancestry Shared by Modern-Day Humans

A recent study published in Nature Genetics presents Cobraa, a coalescence-based hidden Markov model (HMM) designed to help disentangle the complexities of human evolutionary history.

Skulls of different types of hominids, displayed in a museumImage credit: Rebel Red Runner/Shutterstock.com

Improvements in ancient deoxyribonucleic acid (DNA) extraction technologies have enabled detailed genetic analysis of human evolution during both the Pleistocene era—the last ice age—and the Holocene era, which continues today. These periods represent distinct stages in Earth's climate and human history. Evolutionary evidence suggests that human populations have separated and admixed multiple times in the past.

Analysis of high-quality genomes from Denisovans and Neanderthals shows gene flow from these archaic humans into non-African populations, and also suggests gene flow from anatomically modern humans into Neanderthals.

Models that incorporate ancestry from previously unknown archaic populations during the past 100,000 years better explain polymorphism patterns in African populations than those that do not. However, the presence of even older admixture events remains unclear.

The Cobraa model identifies deep ancestral structure, comprising population splits and admixture, shared by modern humans. Analyzing this structured ancestry could improve our understanding of human evolutionary genetics.

About the Study

In this study, the researchers introduce Cobraa, a coalescence-based HMM that reconstructs ancestral admixture events and changes in population size in modern humans.

The team modeled two populations: a majority population (A) and a minority population (B), both descending from a common ancestor. They calculated coalescence rates under the assumption that population sizes remained constant and used statistical models to infer genomic regions in modern humans that are more closely related to either Denisovans or Neanderthals.

Cobraa was applied to high-quality, diploid whole-genome sequence data from the Human Genome Diversity Project (HGDP) and the 1000 Genomes Project (1000GP). To validate the model, Cobraa simulations were compared to unstructured models generated by the pairwise sequentially Markovian coalescent (PSMC), using a constant mutation rate and similar coalescence rates but different population sizes.

The researchers also developed Cobraa-path, an extension of Cobraa that identifies genomic regions where ancestry passes partially or entirely through population B. In this model, the hidden states represent the lineage path through the structured model before coalescence.

Simulations included 10 replicates with 16,000 individuals in each of populations A and B. The researchers simulated inverse coalescence rates (ICR) with a 30 % admixture fraction while keeping the sequence length, mutation rate, and recombination rate constant.

They also applied Cobraa to genomes from other species—including the parti-colored bat (Vespertilio murinus), the common dolphin (Delphinus delphis), Nigeria-Cameroon chimpanzees, and gorillas—to evaluate the model’s versatility.

Results 

The simulations suggest that the two ancestral populations diverged more than 1.5 million years ago, with a deep split occurring around 1.5 million years ago (1.5 Ma). An admixture event occurred around 300,000 years ago (300 ka), where the populations rejoined in an 80:20 ratio.

A bottleneck was observed in population A shortly after divergence, which may reflect a founder effect possibly linked to migration or physical isolation, contributing to present-day human genetic diversity.

The genetic sequences from population B showed correlations with the distance to coding regions, suggesting that when DNA from this group was located near functional genes, it may have caused harmful mutations and was therefore removed over time.

Additionally, a strong correlation was found between majority ancestry and divergence from both Denisovans and Neanderthals. The results suggest that population A contributed most to the archaic human lineage, offering further insight into evolutionary relationships between modern humans and other hominins.

Cobraa-inferred changes in population size aligned well with those inferred by PSMC in modern humans. The researchers also observed splits between eastern and western gorillas around 150,000 years ago, consistent with structured population models. However, the model was less effective for species like the Nigeria-Cameroon chimpanzees, where continuous gene flow between subspecies limited its applicability

Download your PDF copy now!

Conclusions 

The Cobraa model provides insights into structured population dynamics by identifying ancestral population splits and admixture events. Compared to previous models such as PSMC, Cobraa offers improved resolution for studying genetic data across species. Although mutation and recombination rates are not uniform across the human genome, these factors had minimal impact on the model’s performance, indicating its robustness.

Homo heidelbergensis and Homo erectus may be potential candidates for the ancestral populations modeled as A and B within Africa. The study also suggests that the ancestors of Denisovans and Neanderthals were already present in Eurasia prior to the expansion of modern humans into the region.

Future research should aim to determine whether gene flow from modern humans into Neanderthals originated from population A or B, and how this relates to earlier gene flow into Denisovans.

Journal Reference 

Cousins, T., Scally, A., Durbin, R. (2025). A structured coalescent model reveals deep ancestral structure shared by all modern humans. Nat Genet. DOI: https://doi.org/10.1038/s41588-025-02117-1, https://www.nature.com/articles/s41588-025-02117-1 

Posted in: Genomics

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Toshniwal Paharia, Pooja Toshniwal Paharia. (2025, May 28). Cobraa: A Coalescence-Based Model Infers a Structured Ancestry Shared by Modern-Day Humans. AZoLifeSciences. Retrieved on May 30, 2025 from https://www.azolifesciences.com/news/20250528/Cobraa-A-Coalescence-Based-Model-Infers-a-Structured-Ancestry-Shared-by-Modern-Day-Humans.aspx.

  • MLA

    Toshniwal Paharia, Pooja Toshniwal Paharia. "Cobraa: A Coalescence-Based Model Infers a Structured Ancestry Shared by Modern-Day Humans". AZoLifeSciences. 30 May 2025. <https://www.azolifesciences.com/news/20250528/Cobraa-A-Coalescence-Based-Model-Infers-a-Structured-Ancestry-Shared-by-Modern-Day-Humans.aspx>.

  • Chicago

    Toshniwal Paharia, Pooja Toshniwal Paharia. "Cobraa: A Coalescence-Based Model Infers a Structured Ancestry Shared by Modern-Day Humans". AZoLifeSciences. https://www.azolifesciences.com/news/20250528/Cobraa-A-Coalescence-Based-Model-Infers-a-Structured-Ancestry-Shared-by-Modern-Day-Humans.aspx. (accessed May 30, 2025).

  • Harvard

    Toshniwal Paharia, Pooja Toshniwal Paharia. 2025. Cobraa: A Coalescence-Based Model Infers a Structured Ancestry Shared by Modern-Day Humans. AZoLifeSciences, viewed 30 May 2025, https://www.azolifesciences.com/news/20250528/Cobraa-A-Coalescence-Based-Model-Infers-a-Structured-Ancestry-Shared-by-Modern-Day-Humans.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study Reveals Epigenetic Clues Behind Autism Development