A genetic perspective on Longobard-Era migrations

. 2019 Apr ; 27 (4) : 647-656. [epub] 20190116

Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic

Typ dokumentu historické články, časopisecké články, Research Support, U.S. Gov't, Non-P.H.S.

Perzistentní odkaz   https://www.medvik.cz/link/pmid30651584
Odkazy

PubMed 30651584
PubMed Central PMC6460631
DOI 10.1038/s41431-018-0319-8
PII: 10.1038/s41431-018-0319-8
Knihovny.cz E-zdroje

From the first century AD, Europe has been interested by population movements, commonly known as Barbarian migrations. Among these processes, the one involving the Longobard culture interested a vast region, but its dynamics and demographic impact remains largely unknown. Here we report 87 new complete mitochondrial sequences coming from nine early-medieval cemeteries located along the area interested by the Longobard migration (Czech Republic, Hungary and Italy). From the same areas, we sampled necropoleis characterized by cultural markers associated with the Longobard culture (LC) and coeval burials where no such markers were found, or with a chronology slightly preceding the presumed arrival of the Longobards in that region (NLC). Population genetics analysis and demographic modeling highlighted a similarity between LC individuals, as reflected by the sharing of quite rare haplogroups and by the degree of genetic resemblance between Hungarian and Italian LC necropoleis estimated via a Bayesian approach, ABC. The demographic model receiving the strongest statistical support also postulates a contact between LC and NLC communities, thus indicating a complex dynamics of admixture in medieval Europe.

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Bemmann J, Schmauder M, editors. Die Langobarden in den Schriftquellen bis zu den Markomannenkriegen. Proceedings of the Mitteleuropa Langobarden – Awaren – Slawen. p. 43–50; Frankfurt a.M., Bonn: Habelt, 2008.

Geary P. The myth of nations. The medieval origins of Europe. Princeton: Princeton University Press; 2002.

Koncz I. A historical date and its archaeological consequences. Acta Archaeol Acad Sci Hung 2015;66:315–40.

Giostra C. Goths and Lombards in Italy: the potential of archaeology with respect to ethnocultural identification. Eur J Post-Class Archaeol. 2011;1:7–36.

Vai S, Ghirotto S, Pilli E, et al. Genealogical relationships between early medieval and modern inhabitants of Piedmont. PLoS ONE. 2015;10:e0116801. doi: 10.1371/journal.pone.0116801. PubMed DOI PMC

Vai S, Lari M, Ghirotto S, Rizzi E, Achilli A, Olivieri A, et al. Diachronic and synchronic genetic analysis of ancient Piedmont population. J Biol Res. 2012;1:LXXXV.

Alt KW, Knipper C, Peters D, et al. Lombards on the move-an integrative study of the migration period cemetery at Szolad, Hungary. PLoS ONE. 2014;9:e110793. doi: 10.1371/journal.pone.0110793. PubMed DOI PMC

Pinhasi R, Fernandes D, Sirak K, et al. Optimal ancient DNA yields from the inner ear part of the human petrous bone. PLoS ONE. 2015;10:e0129102. doi: 10.1371/journal.pone.0129102. PubMed DOI PMC

Dabney J, Knapp M, Glocke I, et al. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments. Proc Natl Acad Sci USA. 2013;110:15758–63. doi: 10.1073/pnas.1314445110. PubMed DOI PMC

Meyer M, Kircher M. Illumina sequencing library preparation for highly multiplexed target capture and sequencing. Cold Spring Harb Protoc. 2010;2010:prot5448. doi: 10.1101/pdb.prot5448. PubMed DOI

Maricic T, Whitten M, Pääbo S. Multiplexed DNA sequence capture of mitochondrial genomes using PCR products. PLoS ONE. 2010;5:e14004. doi: 10.1371/journal.pone.0014004. PubMed DOI PMC

Modi A, Tassi F, Susca RR, et al. Complete mitochondrial sequences from Mesolithic Sardinia. Sci Rep. 2017;7:42869. doi: 10.1038/srep42869. PubMed DOI PMC

Jónsson H, Ginolhac A, Schubert M, Johnson PLF, Orlando L. mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics. 2013;29:1682–4. doi: 10.1093/bioinformatics/btt193. PubMed DOI PMC

Fu Q, Mittnik A, Johnson Philip LF, et al. A revised timescale for human evolution based on ancient mitochondrial genomes. Curr Biol. 2013;23:553–9. doi: 10.1016/j.cub.2013.02.044. PubMed DOI PMC

Kloss-Brandstatter A, Pacher D, Schonherr S, et al. HaploGrep: a fast and reliable algorithm for automatic classification of mitochondrial DNA haplogroups. Hum Mutat. 2011;32:25–32. doi: 10.1002/humu.21382. PubMed DOI

van Oven M. PhyloTree Build 17: Growing the human mitochondrial DNA tree. Forensic Sci Int. 2015;5:e392–e394.

Bandelt HJ, Forster P, Sykes BC, Richards MB. Mitochondrial portraits of human populations using median networks. Genetics. 1995;141:743–53. PubMed PMC

Csakyova V, Szecsenyi-Nagy A, Csosz A, et al. Maternal genetic composition of a medieval population from a Hungarian-Slavic contact zone in Central Europe. PLoS ONE. 2016;11:e0151206. doi: 10.1371/journal.pone.0151206. PubMed DOI PMC

Kassambara A, Mundt F. Factoextra: extract and visualize the results of multivariate data analyses. R package version. J Stat Softw. 2016;25:1–18.

R Develompment Core Team. R: a language and environment for statistical computing. Vienna, Austria: the R Foundation for Statistical Computing. http://www.R-project.org/; 2011.

Tassi F, Vai S, Ghirotto S, Lari M, Modi A, Pilli E, et al. Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages. Proc Biol Sci. 2017;284:20171540. PubMed PMC

Schiffels S, Haak W, Paajanen P, et al. Iron Age and Anglo-Saxon genomes from East England reveal British migration history. Nat Commun. 2016;7:10408. doi: 10.1038/ncomms10408. PubMed DOI PMC

Allentoft ME, Sikora M, Sjogren KG, et al. Population genomics of Bronze Age Eurasia. Nature. 2015;522:167–72. doi: 10.1038/nature14507. PubMed DOI

Gunther T, Valdiosera C, Malmstrom H, et al. Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques. Proc Natl Acad Sci USA. 2015;112:11917–22. doi: 10.1073/pnas.1509851112. PubMed DOI PMC

Haak W, Lazaridis I, Patterson N, et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature. 2015;522:207–11. doi: 10.1038/nature14317. PubMed DOI PMC

Lipson M, Szecsenyi-Nagy A, Mallick S, et al. Parallel palaeogenomic transects reveal complex genetic history of early European farmers. Nature. 2017;551:368–72. doi: 10.1038/nature24476. PubMed DOI PMC

Martiniano R, Caffell A, Holst M, et al. Genomic signals of migration and continuity in Britain before the Anglo-Saxons. Nat Commun. 2016;7:10326. doi: 10.1038/ncomms10326. PubMed DOI PMC

Mathieson I, Lazaridis I, Rohland N, et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature. 2015;528:499–503. doi: 10.1038/nature16152. PubMed DOI PMC

Mittnik A, Wang CC, Pfrengle S, et al. The genetic prehistory of the Baltic Sea region. Nat Commun. 2018;9:442. doi: 10.1038/s41467-018-02825-9. PubMed DOI PMC

Neparaczki E, Kocsy K, Toth GE, et al. Revising mtDNA haplotypes of the ancient Hungarian conquerors with next generation sequencing. PLoS ONE. 2017;12:e0174886. doi: 10.1371/journal.pone.0174886. PubMed DOI PMC

Olalde I, Brace S, Allentoft ME, et al. The Beaker phenomenon and the genomic transformation of northwest Europe. Nature. 2018;555:190–6. doi: 10.1038/nature25738. PubMed DOI PMC

Rusu I, Modi A, Vai S, et al. Maternal DNA lineages at the gate of Europe in the 10th century AD. PLoS ONE. 2018;13:e0193578. doi: 10.1371/journal.pone.0193578. PubMed DOI PMC

Batini C, Hallast P, Vagene AJ, et al. Population resequencing of European mitochondrial genomes highlights sex-bias in Bronze Age demographic expansions. Sci Rep. 2017;7:12086. doi: 10.1038/s41598-017-11307-9. PubMed DOI PMC

Excoffier L, Lischer HE. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour. 2010;10:564–7. doi: 10.1111/j.1755-0998.2010.02847.x. PubMed DOI

Jombart T. adegenet: a R package for the multivariate analysis of genetic markers. Bioinformatics. 2008;24:1403–5. doi: 10.1093/bioinformatics/btn129. PubMed DOI

Jombart T, Ahmed I. adegenet 1.3-1: new tools for the analysis of genome-wide SNP data. Bioinformatics. 2011;27:3070–1. doi: 10.1093/bioinformatics/btr521. PubMed DOI PMC

Jombart T, Devillard S, Balloux F. Discriminant analysis of principal components: a new method for the analysis of genetically structured populations. BMC Genet. 2010;11:94. doi: 10.1186/1471-2156-11-94. PubMed DOI PMC

Amorim CEG, Vai S, Posth C, Modi A, Koncz I, Hakenbeck S, et al. Understanding 6th-century barbarian social organization and migration through paleogenomics. Nat Commun. 2018;9:3547. PubMed PMC

Wegmann D, Leuenberger C, Neuenschwander S, Excoffier L. ABCtoolbox: a versatile toolkit for approximate Bayesian computations. BMC Bioinformatics. 2010;11:116. doi: 10.1186/1471-2105-11-116. PubMed DOI PMC

Pudlo P, Marin JM, Estoup A, Cornuet JM, Gautier M, Robert CP. Reliable ABC model choice via random forests. Bioinformatics. 2016;32:859–66. doi: 10.1093/bioinformatics/btv684. PubMed DOI

Breiman L. Random forests. Mach Learn. 2001;45:5–32. doi: 10.1023/A:1010933404324. DOI

Beaumont MA, Zhang W, Balding DJ. Approximate Bayesian computation in population genetics. Genetics. 2002;162:2025–35. PubMed PMC

Hamilton G, Stoneking M, Excoffier L. Molecular analysis reveals tighter social regulation of immigration in patrilocal populations than in matrilocal populations. Proc Natl Acad Sci USA. 2005;102:7476–80. doi: 10.1073/pnas.0409253102. PubMed DOI PMC

Kivisild T. Maternal ancestry and population history from whole mitochondrial genomes. Investig Genet. 2015;6:3. doi: 10.1186/s13323-015-0022-2. PubMed DOI PMC

Hedman M, Brandstatter A, Pimenoff V, et al. Finnish mitochondrial DNA HVS-I and HVS-II population data. Forensic Sci Int. 2007;172:171–8. doi: 10.1016/j.forsciint.2006.09.012. PubMed DOI

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