Inferring hominin population history through space and time using introgressed haplotypes
This project aims to develop advanced bioinformatic methods to analyze ancient DNA, revealing the history of human interbreeding and genetic factors influencing modern human survival.
Projectdetails
Introduction
In the last decade, ancient DNA studies have increased their throughput from single samples to thousands of genomes published every year, giving us unprecedented data about human genetic history. However, tools and methods that efficiently use this wealth of data are sorely lacking, especially because DNA extracted from fossils is often scarce and contaminated. In this project, I develop population genetic theory and bioinformatic methods that use ancient DNA to refine estimates of when and where archaic and modern humans interbred, to characterize the historical, biological, and functional consequences of this gene flow, and to learn about the differences between modern humans, Neandertals, and Denisovans.
Project Aims
Aim 1: Genotype-Likelihood Approach
The first aim of this project is to develop a robust and general genotype-likelihood approach for local ancestry inference that allows efficient use of contaminated, low-coverage data. Additionally, I will establish approximate haplotype-based methods for inferring introgression tracts.
Aim 2: Population Genetic Theory and Statistical Methods
The second aim of the project is to develop the necessary population genetic theory and statistical methods to translate the inferred haplotypes into biological insights. The proposed theoretical, numerical, and simulation-based approaches will link the inferred introgression patterns with the underlying population genetic processes.
Aim 3: Application of Novel Tools
The final aim is to apply these novel tools to study where and when gene flow between Neandertals, Denisovans, and modern humans occurred. I also aim to identify introgressed haplotypes that are a target of natural selection and to quantify the relative importance of positive, negative, and balancing selection on Neandertal and Denisovan gene flow.
Expected Outcomes
As a result, this work will expand the tool set available for the analysis of ancient DNA, reveal the precise history of the interactions of Neandertals and modern humans, and provide answers to the key question of what genetic factors contributed to the survival of our species, while all other hominins went extinct.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.498.750 |
Totale projectbegroting | € 1.498.750 |
Tijdlijn
Startdatum | 1-5-2022 |
Einddatum | 30-4-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EVpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Reconstructing Paleolithic Population Dynamics Using Microstratified Paleogenomic AnalysisThis project aims to enhance archaeogenetic research by using microstratigraphic frameworks to analyze ancient DNA from sediments and speleothems, reconstructing human interactions in Upper Paleolithic Georgia. | ERC Starting... | € 1.460.604 | 2022 | Details |
Investigating mammalian evolution using million-year genomic transectsThis project aims to revolutionize ancient DNA research by sequencing 100 genomes from Early and Middle Pleistocene mammals to explore macroevolutionary changes over a million-year timescale. | ERC Advanced... | € 2.500.000 | 2023 | Details |
Exploring natural selection due to the Black Death and continuous human population genetic structureThis project aims to sequence 500 Black Death victims' genomes to understand genetic mixing and natural selection from infectious diseases, enhancing insights into European population structure and mortality genetics. | ERC Starting... | € 1.495.000 | 2025 | Details |
Into the Sedimentary Matrix: Mapping the Replacement of Neanderthals by early Modern Humans using micro-contextualized biomoleculesMATRIX aims to enhance understanding of Neandertal extinction and AMH migration in Europe by analyzing aDNA, proteins, and lipids in archaeological sediments at unprecedented micro-scale resolution. | ERC Starting... | € 1.955.213 | 2022 | Details |
Studying the cis-regulatory changes that have shaped human evolutionThis project aims to uncover the genetic basis of human adaptation by using hybrid cells and MPRAs to map cis-regulatory changes and their impact on gene expression and phenotypes. | ERC Starting... | € 1.500.000 | 2023 | Details |
Reconstructing Paleolithic Population Dynamics Using Microstratified Paleogenomic Analysis
This project aims to enhance archaeogenetic research by using microstratigraphic frameworks to analyze ancient DNA from sediments and speleothems, reconstructing human interactions in Upper Paleolithic Georgia.
Investigating mammalian evolution using million-year genomic transects
This project aims to revolutionize ancient DNA research by sequencing 100 genomes from Early and Middle Pleistocene mammals to explore macroevolutionary changes over a million-year timescale.
Exploring natural selection due to the Black Death and continuous human population genetic structure
This project aims to sequence 500 Black Death victims' genomes to understand genetic mixing and natural selection from infectious diseases, enhancing insights into European population structure and mortality genetics.
Into the Sedimentary Matrix: Mapping the Replacement of Neanderthals by early Modern Humans using micro-contextualized biomolecules
MATRIX aims to enhance understanding of Neandertal extinction and AMH migration in Europe by analyzing aDNA, proteins, and lipids in archaeological sediments at unprecedented micro-scale resolution.
Studying the cis-regulatory changes that have shaped human evolution
This project aims to uncover the genetic basis of human adaptation by using hybrid cells and MPRAs to map cis-regulatory changes and their impact on gene expression and phenotypes.