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Research article · 2025 · Full text

International Journal of Biology Sciences

Ancient DNA analysis reveals genetic continuity and admixture in prehistoric human populations

Hanna HabteFitsum MekonnenBiniam Fikre

Volume 7(12) · Pages 196–198 · DOI: 10.33545/26649926.2025.v7.i12c.737 ↗

Research areasForensic and Genetic ResearchPleistocene-Era Hominins and ArchaeologyGenetic diversity and population structure

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Abstract

Author-written

One observation that keeps surfacing in African archaeogenetics is that populations we assumed were isolated for millennia actually exchanged genes more freely than expected. This research extracted and analyzed ancient DNA from 34 human skeletal remains recovered from six archaeological sites in the Ethiopian Rift Valley, spanning 12,000 years of occupation. Genome-wide SNP capture on 1.24 million markers was performed at the Rift Valley Institute of Limnology, Hawassa, Ethiopia, between August 2021 and January 2024. Results revealed a pattern of substantial genetic continuity in the earliest samples, followed by progressive admixture from at least two distinct source populations beginning around 5,000 years ago. Modern Rift Valley populations retain 48.3% ancestry from the original local lineage. These data reshape the timeline of population mixing in the Horn of Africa.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • African prehistory is characterized by a dynamic genetic landscape where populations moved and merged on timescales that cannot be fully resolved by archaeological evidence alone. View evidence ↗

      Why it matters

      African prehistory is characterized by a dynamic genetic landscape where populations moved and merged on timescales that cannot be fully resolved by archaeological evidence alone.

      In the paper's own words

      “An observation that has reshaped our thinking about African prehistory is that the continent's genetic landscape was never static—even deep in the Holocene, populations moved, merged, and replaced one another on timescales that archaeological evidence alone couldn't resolve”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Ancient DNA analysis is used to fill gaps in prehistoric records, though data from sub-Saharan Africa is currently sparse compared to Eurasian data. View evidence ↗

      Why it matters

      Ancient DNA analysis is used to fill gaps in prehistoric records, though data from sub-Saharan Africa is currently sparse compared to Eurasian data.

      In the paper's own words

      “Ancient DNA (aDNA) has begun to fill this gap, but sampling from sub-Saharan Africa remains sparse compared to Eurasia”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The Ethiopian Rift Valley is a key area for study because its location serves as a geographic crossroads between the Horn, the Nile Valley, and East Africa. View evidence ↗

      Why it matters

      The Ethiopian Rift Valley is a key area for study because its location serves as a geographic crossroads between the Horn, the Nile Valley, and East Africa.

      In the paper's own words

      “The Ethiopian Rift Valley is particularly interesting because it sits at a geographic crossroads between East Africa, the Nile Valley, and the Horn”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to reconstruct the population history of the Ethiopian Rift Valley over a 12,000-year period using genome-wide SNP capture from 34 ancient individuals. View evidence ↗

      The question

      The study aimed to reconstruct the population history of the Ethiopian Rift Valley over a 12,000-year period using genome-wide SNP capture from 34 ancient individuals.

      In the paper's own words

      “This research used genome-wide SNP capture to reconstruct population history from 34 ancient individuals spanning 12,000 years in the Rift Valley”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Samples were collected from six archaeological sites across a 120-km transect in the central Ethiopian Rift Valley, with elevations ranging from 1,540 to 2,100 m. View evidence ↗

      What they did

      Samples were collected from six archaeological sites across a 120-km transect in the central Ethiopian Rift Valley, with elevations ranging from 1,540 to 2,100 m.

      In the paper's own words

      “Six archaeological sites were sampled along a 120-km transect of the central Ethiopian Rift Valley (6°48'–7°36'N, 38°12'–38°48'E), at elevations between 1,540 and 2,100 m.”

      Page 1

      Found in: Study Area Description

      Read it in the full textOpen PDF at page 1 ↗
    • The sampled individuals were dated using radiocarbon analysis, spanning from 11,840±120 cal BP to 480±45 cal BP. View evidence ↗

      What they did

      The sampled individuals were dated using radiocarbon analysis, spanning from 11,840±120 cal BP to 480±45 cal BP.

      In the paper's own words

      “Radiocarbon dates for sampled individuals ranged from 11,840±120 cal BP to 480±45 cal BP”

      Page 1

      Found in: Study Area Description

      Read it in the full textOpen PDF at page 1 ↗
    • The researchers used a 1240K SNP panel for capture and performed sequencing on the Illumina NovaSeq 6000 platform. View evidence ↗

      What they did

      The researchers used a 1240K SNP panel for capture and performed sequencing on the Illumina NovaSeq 6000 platform.

      In the paper's own words

      “captured using the 1240K SNP panel [7]. Sequencing was performed on the Illumina NovaSeq 6000 platform.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Population structure was analyzed using smartPCA, ADMIXTURE modeling (K=2 to K=8), and f-statistics via the ADMIXTOOLS2 package. View evidence ↗

      What they did

      Population structure was analyzed using smartPCA, ADMIXTURE modeling (K=2 to K=8), and f-statistics via the ADMIXTOOLS2 package.

      In the paper's own words

      “Population structure was analyzed using principal component analysis (smartPCA), ADMIXTURE modeling (K=2 through K=8), and f-statistics (f3, f4, qpAdm) in the ADMIXTOOLS2 package”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • The earliest samples, dating to more than 8,000 BP, consisted exclusively of L-haplogroup carriers. View evidence ↗

      What they found

      The earliest samples, dating to more than 8,000 BP, consisted exclusively of L-haplogroup carriers.

      In the paper's own words

      “The oldest samples (>8,000 BP) were exclusively L-haplogroup carriers”

      Page 2

      Found in: Biodiversity Assessment

      Read it in the full textOpen PDF at page 2 ↗
    • M1a and T1a haplogroups appeared only after 5,000 BP, which the authors associate with an influx of Eurasian-related ancestry. View evidence ↗

      What they found

      M1a and T1a haplogroups appeared only after 5,000 BP, which the authors associate with an influx of Eurasian-related ancestry.

      In the paper's own words

      “M1a and T1a appeared only after 5,000 BP, consistent with a later influx of Eurasian-related ancestry”

      Page 2

      Found in: Biodiversity Assessment

      Read it in the full textOpen PDF at page 2 ↗
    • In the earliest period (12–8 kya), the local Rift ancestry was very high at 97.8±1.4%. View evidence ↗

      What they found

      In the earliest period (12–8 kya), the local Rift ancestry was very high at 97.8±1.4%.

      In the paper's own words

      “12–8 kya | 6 | 97.8±1.4”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • Between 5 and 3 kya, local ancestry dropped to 64.2±4.8%, while Nile Valley and pastoral components rose to 18.4±3.2% and 14.7±2.8%, respectively. View evidence ↗

      What they found

      Between 5 and 3 kya, local ancestry dropped to 64.2±4.8%, while Nile Valley and pastoral components rose to 18.4±3.2% and 14.7±2.8%, respectively.

      In the paper's own words

      “5–3 kya | 7 | 64.2±4.8 | 18.4±3.2 | 14.7±2.8”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • Modern populations in the region retain 48.3% local ancestry, with 22.1% Nile Valley and 21.4% pastoral components. View evidence ↗

      What they found

      Modern populations in the region retain 48.3% local ancestry, with 22.1% Nile Valley and 21.4% pastoral components.

      In the paper's own words

      “Modern* | ref | 48.3 | 22.1 | 21.4”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • Local ancestry declined gradually from 97.8% to 48.3% in modern populations, with external components appearing after 5,000 years ago. View evidence ↗

      What they found

      Local ancestry declined gradually from 97.8% to 48.3% in modern populations, with external components appearing after 5,000 years ago.

      In the paper's own words

      “Local ancestry declined gradually from 97.8% in the earliest period to 48.3% in modern populations, with Nile Valley and pastoral components appearing after 5,000 years ago”

      Page 2

      Found in: Biodiversity Assessment

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors conclude that the timing of genetic admixture coincides with the arrival of pastoral economies, supporting the theory of demic diffusion linked to livestock subsistence. View evidence ↗

      What it means

      The authors conclude that the timing of genetic admixture coincides with the arrival of pastoral economies, supporting the theory of demic diffusion linked to livestock subsistence.

      In the paper's own words

      “The timing coincides with the archaeological arrival of pastoral economies in the Horn of Africa, supporting models linking demic diffusion with livestock-based subsistence”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors conclude that incoming groups mixed with the local population over several millennia rather than replacing them. View evidence ↗

      What it means

      The authors conclude that incoming groups mixed with the local population over several millennia rather than replacing them.

      In the paper's own words

      “It means that incoming groups didn't replace the local population but rather mixed with it over several thousand years”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • A stated limitation of the study is the low coverage (0.47×) of the oldest samples, which increases uncertainty in the ancestry estimates for the earliest period. View evidence ↗

      What it means

      A stated limitation of the study is the low coverage (0.47×) of the oldest samples, which increases uncertainty in the ancestry estimates for the earliest period.

      In the paper's own words

      “A limitation is the low coverage of our oldest samples (0.47×), which increases uncertainty in ancestry estimates for the earliest period.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Prehistoric and modern human skeletal remains). It explains the idea and does not show study data.↗ Enlarge
Ancestry Transition Timeline
AI-generated conceptual illustration (Prehistoric and modern human skeletal remains). It explains the idea and does not show study data.

AI-generated conceptual illustration (Prehistoric and modern human skeletal remains). It explains the idea and does not show study data.

Open full-size image ↗

Ancestry Transition Timeline

AI-generated conceptual illustration (Prehistoric and modern human skeletal remains). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
5–3 kya: Local Rift Ancestry (%) vs Nile Valley Component... vs Pastoral Component (%)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

5–3 kya: Local Rift Ancestry (%) vs Nile Valley Component... vs Pastoral Component (%)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
3–1.5 kya: Local Rift Ancestry (%) vs Nile Valley Component... vs Pastoral Component (%)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

3–1.5 kya: Local Rift Ancestry (%) vs Nile Valley Component... vs Pastoral Component (%)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Ancestry Proportions by Time Period from qpAdm ModelingTable 1Page 2Temporal trajectory of local versus admixed ancestry proportions across the 12,000-year sampling window in the Ethiopian RiftFigure 1Page 2Timeline of major population events in the Rift Valley region inferred from ancient DNA admixture analysis and archaeologicalFigure 2Page 2
FULL TEXT Original article · reflowed for reading

Introduction

An observation that has reshaped our thinking about African prehistory is that the continent's genetic landscape was never static-even deep in the Holocene, populations moved, merged, and replaced one another on timescales that archaeological evidence alone couldn't resolve [1] . Ancient DNA (aDNA) has begun to fill this gap, but sampling from sub-Saharan Africa remains sparse compared to Eurasia [2] . The Ethiopian Rift Valley is particularly interesting because it sits at a geographic crossroads between East Africa, the Nile Valley, and the Horn [3] . This research used genome-wide SNP capture to reconstruct population history from 34 ancient individuals spanning 12,000 years in the Rift Valley, with laboratory work at the Rift Valley Institute of Limnology, Hawassa, Ethiopia [4] .

Study Area Description

Six archaeological sites were sampled along a 120-km transect of the central Ethiopian Rift Valley (6°48'-7°36'N, 38°12'-38°48'E), at elevations between 1,540 and 2,100 m. Sites included two open-air settlement mounds (Tiya and Adadi), two rockshelter sequences (Laga Oda and Goda Buticha), and two burial caves (Mota and Hora). The regional climate is semiarid with bimodal rainfall (March-May and July-September) and mean annual temperature of 19.4°C. Radiocarbon dates for sampled individuals ranged from 11,840±120 cal BP to 480±45 cal BP [5] .

Material and Methods

Material and Methods

Material

Petrous bone fragments from 34 individuals were sampled in a dedicated clean room at the Rift Valley Institute of Limnology. DNA extraction followed a modified silica-column protocol optimized for degraded aDNA [6] . All pre-amplification steps were performed in UV-irradiated laminar flow hoods with full-body PPE. Ethical approval was obtained from the Ethiopian Authority for Research and Conservation of Cultural Heritage (Permit No. ARCCH-2021-GEN-007, approved 3 June 2021) and the Institute's Ethics Committee (Protocol No. RVIL-2021-EC-023).

Methods: Double-stranded libraries were prepared with UDG treatment to remove deaminated cytosines, and captured using the 1240K SNP panel [7] . Sequencing was performed on the Illumina NovaSeq 6000 platform. Reads were aligned to the human reference genome (GRCh37) using BWA-MEM, and duplicate and low-quality reads removed. Contamination was estimated using schmutzi [8] and samples with >5% contamination were excluded (4 of 38 original samples). Population structure was analyzed using principal component analysis (smartPCA), ADMIXTURE modeling (K=2 through K=8), and fstatistics (f3, f4, qpAdm) in the ADMIXTOOLS2 package [9] . Radiocarbon dates were calibrated using IntCal20.

Biodiversity Assessment

Mitochondrial haplogroup assignment revealed 11 distinct haplogroups across the 34 individuals: L0a, L1c, L2a, L3d, L3f, L3h, L4a, L4b, M1a, T1a, and J1b. The oldest samples (>8,000 BP) were exclusively L-haplogroup carriers, while M1a and T1a appeared only after 5,000 BP, consistent with a later influx of Eurasian-related ancestry [10] . Ychromosome haplogroups (available for 18 males) showed a parallel shift from predominantly E1b1b in early samples to a mix of E1b1b, J1, and T in later periods. Local ancestry declined gradually from 97.8% in the earliest period to 48.3% in modern populations, with Nile Valley and pastoral components appearing after 5,000 years ago

Results

Results

Discussion

The most striking finding is the high genetic continuity in the earliest samples-97.8% local ancestry at 12-8 kyafollowed by a distinct inflection point around 5,000 years ago when admixture from at least two external sources began [11] . The timing coincides with the archaeological arrival of pastoral economies in the Horn of Africa, supporting models linking demic diffusion with livestockbased subsistence [12] . That nearly half of modern Rift Valley ancestry traces to the original pre-admixture population is significant. It means that incoming groups didn't replace the local population but rather mixed with it over several thousand years [13] . A limitation is the low coverage of our oldest samples (0.47×), which increases uncertainty in ancestry estimates for the earliest period. Additional high-coverage genomes from early Holocene contexts would sharpen these estimates [14] .

Conclusion

This research reconstructed 12,000 years of population history in the Ethiopian Rift Valley using ancient DNA from 34 individuals. Early populations showed near-complete genetic continuity, with admixture from Nile Valley and pastoral sources beginning around 5,000 years ago. Modern populations retain roughly half of the original local ancestry, demonstrating that population mixing was gradual rather than replacive.

Acknowledgement

Acknowledgements Funding SourcesSupported by the Rift Valley Institute of Limnology internal research allocation. Institutional SupportThe Department of Evolutionary Genetics provided clean room and sequencing facilities. Contributions Not Qualifying for AuthorshipArchaeological teams at the National Museum of Ethiopia curated skeletal specimens.

Figures and tables from the paper

Table 1. Ancestry Proportions by Time Period from qpAdm Modeling
Time PeriodnLocal Rift Ancestry (%)Nile Valley Component (%)Pastoral Component (%)Residual / Other (%)Mean Coverage
12–8 kya697.8±1.41.3±0.80.00.9±0.60.47×
8–5 kya891.3±2.76.2±1.92.1±1.10.4±0.30.82×
5–3 kya764.2±4.818.4±3.214.7±2.82.7±1.41.24×
3–1.5 kya758.7±3.619.8±2.917.3±3.14.2±1.71.68×
<1.5 kya652.1±4.121.3±3.419.8±3.66.8±2.12.14×
Modern*ref48.322.121.48.2—

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Ancestry Proportions by Time Period from qpAdm Modeling↗ Enlarge
Table 1
Ancestry Proportions by Time Period from qpAdm Modeling

Ancestry Proportions by Time Period from qpAdm Modeling

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Temporal trajectory of local versus admixed ancestry proportions across the 12,000-year sampling window in the Ethiopian Rift
Temporal trajectory of local versus admixed ancestry proportions across the 12,000-year sampling window in the Ethiopian Rift↗ Enlarge
Figure 1
Temporal trajectory of local versus admixed ancestry proportions across the 12,000-year sampling window in the Ethiopian Rift

Temporal trajectory of local versus admixed ancestry proportions across the 12,000-year sampling window in the Ethiopian Rift

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Timeline of major population events in the Rift Valley region inferred from ancient DNA admixture analysis and archaeological
Timeline of major population events in the Rift Valley region inferred from ancient DNA admixture analysis and archaeological↗ Enlarge
Figure 2
Timeline of major population events in the Rift Valley region inferred from ancient DNA admixture analysis and archaeological

Timeline of major population events in the Rift Valley region inferred from ancient DNA admixture analysis and archaeological

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

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