2-AIN-506 a 2-AIN-252: Seminár z bioinformatiky (2) a (4)
Leto 2019
Abstrakt

Mayukh Mondal, Jaume Bertranpetit, Oscar Lao. Approximate Bayesian computation with deep learning supports a third archaicintrogression in Asia and Oceania. Nat Commun, 10(1):246. 2019.

Download preprint: not available

Download from publisher: not available PubMed

Related web page: not available

Bibliography entry: BibTeX

Abstract:

Since anatomically modern humans dispersed Out of Africa, the evolutionary
history of Eurasian populations has been marked by introgressions from presently 
extinct hominins. Some of these introgressions have been identified using
sequenced ancient genomes (Neanderthal and Denisova). Other introgressions have
been proposed for still unidentified groups using the genetic diversity present
in current human populations. We built a demographic model based on deep learning
in an Approximate Bayesian Computation framework to infer the evolutionary
history of Eurasian populations including past introgression events in Out of
Africa populations fitting the current genetic evidence. In addition to the
reported Neanderthal and Denisovan introgressions, our results support a third
introgression in all Asian and Oceanian populations from an archaic population.
This population is either related to the Neanderthal-Denisova clade or diverged
early from the Denisova lineage. We propose the use of deep learning methods for 
clarifying situations with high complexity in evolutionary genomics.