| Literature DB >> 35402880 |
Claire-Elise Fischer1, Marie-Hélène Pemonge1, Isaure Ducoussau1, Ana Arzelier1, Maïté Rivollat1,2, Frederic Santos1, Hélène Barrand Emam3,4, Alexandre Bertaud5, Alexandre Beylier6,7, Elsa Ciesielski7, Bernard Dedet7, Sophie Desenne8,9, Henri Duday1, Fanny Chenal4,8, Eric Gailledrat7, Sébastien Goepfert3,4, Olivier Gorgé10, Alexis Gorgues5, Gertrud Kuhnle11, François Lambach1, Anthony Lefort8, Amandine Mauduit3, Florent Maziere7,8, Sophie Oudry8,12, Cécile Paresys8,13, Estelle Pinard8,9, Suzanne Plouin4, Isabelle Richard8,13, Muriel Roth-Zehner4,14, Réjane Roure7, Corinne Thevenet8,9, Yohann Thomas4,8, Stéphane Rottier1, Marie-France Deguilloux1, Mélanie Pruvost1.
Abstract
The Iron Age period occupies an important place in French history because the Gauls are regularly presented as the direct ancestors of the extant French population. We documented here the genomic diversity of Iron Age communities originating from six French regions. The 49 acquired genomes permitted us to highlight an absence of discontinuity between Bronze Age and Iron Age groups in France, lending support to a cultural transition linked to progressive local economic changes rather than to a massive influx of allochthone groups. Genomic analyses revealed strong genetic homogeneity among the regional groups associated with distinct archaeological cultures. This genomic homogenization appears to be linked to individuals' mobility between regions and gene flow with neighbouring groups from England and Spain. Thus, the results globally support a common genomic legacy for the Iron Age population of modern-day France that could be linked to recurrent gene flow between culturally differentiated communities.Entities:
Keywords: Biological sciences; Evolutionary biology; Genetics; Genomics; Paleobiology; Paleogenetics
Year: 2022 PMID: 35402880 PMCID: PMC8983337 DOI: 10.1016/j.isci.2022.104094
Source DB: PubMed Journal: iScience ISSN: 2589-0042
Figure 1Overview of our dataset
Each colour represents a region, and each symbol represents a site.
(A) Location of samples included in the study.
(B) Timeline of BA and IA individuals with genomic data for the territory corresponding to present-day France. Circles without black outline represent previously published samples.
(C) Principal component analysis of western samples from the Neolithic until the Iron Age projected onto the genomic variability of present-day populations.
Figure 2Pairwise qpWave testing to detect outliers
Grey-coloured models have a p value of less than 0.05 and were rejected, pink-coloured models have a p value of more than 0.05. Orange circles represent outliers from the chronological-cultural group from which they originate (p value <0.05).
Figure 3Distribution and average level of ancestral components in IA samples from Western Europe
Each colour corresponds to a region (France) or a country.
(A) Triplot of qpAdm values for the Anatolia Neolithic (NEO), steppe and western Hunter-Gatherer components (WHG) for individuals from the Neolithic to the Bronze Age from France (B) Triplot of qpAdm values for the Anatolia Neolithic (NEO), steppe and western Hunter-Gatherer components (WHG) for individuals from Iron Age from France.
(C) Evolution of qpAdm values for the Steppe related ancestry component in southern and northern French regions, between the Bronze and Iron Age periods.
(D) Relation between the latitudinal position of the archaeological sites where Western Europe IA individuals were found and PC2 values (PCA calculated on the genetic variation of an HO set of west Eurasians).
Figure 4Plot results of the f3-outgroup statistic in the form f3 (Mbuti, Outlier, Region), where “Region” corresponds to Iron Age individuals grouped according to their region of origin
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| osteological remain | this study | Att27 |
| osteological remain | this study | Att3 |
| osteological remain | this study | Att52-2 |
| osteological remain | this study | BES1096B |
| osteological remain | this study | BES1154 |
| osteological remain | this study | BES1249 |
| osteological remain | this study | BFT228 |
| osteological remain | this study | BLH447 |
| osteological remain | this study | BPV1445 |
| osteological remain | this study | BPV1455 |
| osteological remain | this study | BUCH48-1 |
| osteological remain | this study | BUCH48-2 |
| osteological remain | this study | BUCH82 |
| osteological remain | this study | CHF106 |
| osteological remain | this study | CLR23 |
| osteological remain | this study | CLR24 |
| osteological remain | this study | CLR31 |
| osteological remain | this study | CLR35 |
| osteological remain | this study | CLR44 |
| osteological remain | this study | Col239 |
| osteological remain | this study | Col330 |
| osteological remain | this study | CROI1-4 |
| osteological remain | this study | CROI11 |
| osteological remain | this study | CROI12-2 |
| osteological remain | this study | ERS83-2 |
| osteological remain | this study | GDF1231 |
| osteological remain | this study | GDF1264 |
| osteological remain | this study | GDF1341 |
| osteological remain | this study | GDF1348 |
| osteological remain | this study | GDF1349B |
| osteological remain | this study | GLN126A |
| osteological remain | this study | GLN126B |
| osteological remain | this study | GLN141 |
| osteological remain | this study | GLN29-A |
| osteological remain | this study | GLN32 |
| osteological remain | this study | Gox287 |
| osteological remain | this study | ISL6950 |
| osteological remain | this study | PAL170 |
| osteological remain | this study | Pech3 |
| osteological remain | this study | Pech9 |
| osteological remain | this study | PEY73 |
| osteological remain | this study | PT7 |
| osteological remain | this study | SCPG2 |
| osteological remain | this study | UN129 |
| osteological remain | this study | UN19 |
| osteological remain | this study | UN85 |
| osteological remain | this study | VAS75 |
| osteological remain | this study | VAS79-2 |
| osteological remain | this study | WET429 |
| Proteinase K 100MG | Sigma Aldrich | Cat# 3115879001 |
| Buffer QG | Qiagen | Cat#19063 |
| OneTaq® 2X Master Mix with Standard Buffer | New England Biolabs | Cat# M0482L |
| Phusion® High-Fidelity DNA Polymerase | New England Biolabs | Cat# M0530L |
| NEBNext End Repair Module | New England Biolabs | Cat# E6050L |
| NEBNext Quick Ligation Module | New England Biolabs | Cat# E6056L |
| USER Enzyme | New England Biolabs | Cat# M5505L |
| MinElute PCR Purification kit | QIAGEN | Cat# 28006 |
| Qubit dsDNA HS Assay Kit | Thermo Fisher Scientific | Cat# Q32854 |
| NextSeq 500/550 High Output Kit v2.5 (150 Cycles) | Illumina | Cat# 20024907 |
| Agilent High Sensitivity DNA Kit | Agilent | Cat# 5067-4627 |
| Raw and analyzed data | This study | ENA Project: PRJEB50940 |
| READ | ||
| Admixtools | ||
| Yleaf | ||
| Haplogrep | ||
| ANGSD | ||
| smartPCA | ||
| bamUtil | bamUtil 71 | |
| EAGER | ||
| AdmixR | ||