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Nature Continues to Shape Human Genes: Study Reveals 479 Variants Under Natural Selection

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Recent breakthroughs in ancient DNA research are reshaping our understanding of human evolution, particularly in Europe where much of the genetic legacy traces back to West Eurasian populations. A landmark study published in Nature has identified 479 genetic variants under strong natural selection over the past 10,000 years, revealing that evolutionary pressures have not slowed but accelerated following the advent of agriculture. This discovery, drawing heavily on samples from European archaeological sites, underscores the ongoing role of natural selection in molding the human genome.

The research, led by computational geneticist Ali Akbari from Harvard Medical School in collaboration with European experts, analyzed genomic data from 15,836 ancient individuals spanning 18,000 years across West Eurasia—a region encompassing much of modern Europe and the Middle East. By developing a novel statistical method to detect directional selection in time-series ancient DNA data, the team distinguished true adaptive changes from random genetic drift or population movements.

The Power of Ancient DNA in Unraveling Human Adaptation

Ancient DNA, or aDNA, refers to genetic material extracted from archaeological remains such as bones and teeth, offering a direct window into past human populations. European universities have been at the forefront of this field, with institutions like the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, and the University of Vienna in Austria contributing pivotal samples and expertise to global datasets.

Alissa Mittnik, affiliated with both Harvard and Max Planck, and Ron Pinhasi from the University of Vienna, co-authored the study, highlighting the transatlantic collaboration essential for such large-scale analyses. These European contributions provided thousands of genomes from key sites in Germany, Austria, France, and Scandinavia, enabling precise tracking of allele frequency changes over millennia.

Prior studies suggested human evolution decelerated after the Neolithic transition around 10,000 years ago, as larger populations reduced the power of selection. However, this new approach—using a generalized linear mixed model that accounts for population structure—reveals pervasive selection acting on hundreds of loci, challenging that narrative.

Methodology: A New Lens on Evolutionary Dynamics

The study's innovation lies in its method: researchers imputed missing genotypes using modern reference panels like the 1000 Genomes Project, then fitted allele trajectories smoothed with Gaussian processes. They tested for linear time trends beyond neutral expectations, estimating selection coefficients (s) with median |s| = 0.86% for significant variants.

After rigorous quality control on over 9 million variants, 479 independent loci showed strong signals (posterior probability >99%), excluding the immune-heavy HLA region. Polygenic scores from 563 genome-wide association studies (GWAS) further revealed coordinated selection on complex traits, validated through simulations mimicking European demographic history.

European labs excel in aDNA extraction and sequencing, with facilities at the Francis Crick Institute in London and University College London (UCL) pioneering contamination-free protocols crucial for reliable time-series data.

Key Findings: Acceleration Post-Agriculture

Selection intensified during the Bronze Age (~5,000 years ago), coinciding with farming, pastoralism, and denser settlements. Of the 479 variants, 62% link to known phenotypes via UK Biobank data, enriching for immune and cardiometabolic traits.

Examples include:

  • CCR5-Δ32: HIV resistance, rose in frequency ~700 years ago, possibly due to plague or smallpox.
  • Lactase persistence (LCT gene): Spread with dairy farming, vital in northern Europe.
  • Skin pigmentation: Ten variants favored lighter skin, aiding vitamin D synthesis in low-sun latitudes.
  • Red hair (MC1R): Increased, perhaps for vitamin D or camouflage.
  • Male pattern baldness: Reduced, lowering prevalence by 1-2% over 7,000 years.
  • Celiac disease risk: HLA-linked, fluctuating with wheat diets.

Fluctuating selection appeared on multiple sclerosis risk, peaking ~6,000 years ago but declining recently in some groups.

Immunity Genes: Europe's Pathogen-Driven Evolution

Europe's history of plagues, famines, and migrations exerted strong selective pressures. Immunity loci dominated, with variants countering tuberculosis, plague, and HIV. The CCR5-Δ32 mutation, absent before the Middle Ages, exemplifies recent adaptation.Illustration of immune cells fighting pathogens, highlighting genetic adaptations in European populations

At the University of Copenhagen's Centre for GeoGenetics, researchers like Eske Willerslev have sequenced plague victims, linking variants to Black Death survival. Such work informs modern vaccine design and personalized medicine at European medical schools.

Pigmentation and Metabolism: Adaptations to Northern Climates

Lighter skin and red hair variants proliferated in northern Europe, optimizing UV absorption for vitamin D amid long winters. Reduced baldness may relate to thermoregulation or mate choice.

Metabolic shifts, like celiac tolerance amid wheat reliance, reflect dietary revolutions. These findings resonate at institutions like the University of Kiel's ancient DNA lab, where studies on Neolithic farmers reveal pigmentation evolution tied to farming migrations.

European Universities Leading Paleo-Genomics

Europe hosts world-class ancient DNA facilities. The Max Planck Institute in Leipzig, home to co-author Alissa Mittnik, pioneered Neanderthal-human admixture detection. Vienna's University, via Ron Pinhasi, excels in Near Eastern-Europe transitions.

Other hubs:

  • Francis Crick Institute (UK): Pontus Skoglund's lab sequences British Isles genomes.
  • UCL and Oxford: Ancient DNA labs focus on Anglo-Saxon migrations and selection scans.
  • University of Tübingen (Germany): Analyzes Alpine hunter-gatherers.
  • University of Ferrara (Italy): Roman-era pathogens.

These centers train PhD students in bioinformatics and archaeology, fostering interdisciplinary careers. Programs like Erasmus Mundus in Evolutionary Genomics unite European talent.Nature's coverage highlights collaborative data-sharing.

Health Implications for Modern Europeans

The variants influence today's health: HIV resistance saves lives, but celiac risk burdens 1% of Europeans. MS fluctuations suggest shifting pathogen pressures. Polygenic scores indicate selection against body fat percentage and schizophrenia risk, but for cognitive traits like educational attainment.

At Karolinska Institutet (Sweden), researchers integrate aDNA into GWAS for precision medicine. European Biobanks like UK Biobank fuel these insights, linking ancient selection to contemporary disease burdens.

Challenges and Future Directions

Distinguishing selection from drift required massive samples; future work needs East Asian, African datasets. European Ethical, Legal, and Social Implications (ELSI) frameworks guide repatriation and consent for indigenous remains.

Upcoming at Cambridge's ancient DNA lab: integrating single-cell sequencing for tissue-specific selection. Horizon Europe funds such projects, training next-gen geneticists.

Trait CategorySelected VariantsEuropean Relevance
ImmunityCCR5-Δ32, TB lociPlague survival
Pigmentation10 skin, MC1R hairVitamin D in north
MetabolismLCT lactase, celiac HLADairy farming
Behavior/CognitionEducational attainment PGSBronze Age shifts

Careers in Paleo-Genomics at European Universities

This study exemplifies demand for experts in computational genetics and aDNA. Postdocs at Max Planck earn €50,000+, with PhDs from Vienna or Kiel leading to faculty roles. Skills: Python/R for stats, cleanroom lab work.Researchers in ancient DNA lab at a European university extracting samples

Programs like MSc Evolutionary Genomics at University of Bern (Switzerland) prepare students. Explore opportunities in population genetics amid EU's €1B+ genomics funding.

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Photo by Marija Zaric on Unsplash

As ancient DNA datasets grow, European universities remain pivotal in decoding our evolving genome. This research not only rewrites evolutionary history but promises tailored therapies for Europe's diverse ancestries, blending archaeology, genetics, and medicine.

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Dr. Elena RamirezView author

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Frequently Asked Questions

🧬What is the main finding of the 479 genetic variants study?

The study identified 479 alleles under directional natural selection in West Eurasians over 10,000 years, accelerating with agriculture, affecting immunity, pigmentation, and metabolism.

🏛️Which European universities contributed to this research?

Key roles from Max Planck Institute (Germany) via Alissa Mittnik and University of Vienna (Austria) via Ron Pinhasi, providing samples and expertise.

📊How did researchers detect natural selection in ancient DNA?

Using a GLMM on allele frequency trajectories, accounting for population structure, validated by simulations and GWAS enrichment.

🎨What traits were affected in European populations?

Lighter skin, red hair, lactase persistence, HIV-resistant CCR5-Δ32, reduced baldness, celiac risk—linked to diet, pathogens, climate.

🌾Why did evolution accelerate 10,000 years ago?

Farming increased population density, exposing humans to new pathogens/diet; Bronze Age migrations amplified selection.

💊Implications for modern European health?

Informs disease risks like MS, celiac; aids precision medicine via polygenic scores from ancient adaptations.

🔬Role of Max Planck in ancient DNA research?

Pioneers Neanderthal admixture, pathogen co-evolution; Leipzig lab sequenced European Neolithic genomes.

🎓Careers in paleo-genomics in Europe?

PhDs/MSc at Vienna, Kiel; postdocs €50k+ at Crick/UCL. Skills: bioinformatics, lab protocols. EU funds abundant.

🔮Future of ancient DNA studies in Europe?

Single-cell aDNA, African/Asian datasets; Horizon Europe €1B+ for genomics.

📚How to access the study data?

Genomes at European Nucleotide Archive (PRJEB106907); code on GitHub; full paper here.

Differences from prior evolution studies?

Previous detected ~dozens loci; this 479 via better stats/large samples, proving acceleration not slowdown.