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1
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Boattini A, Bortolini E, Bauer R, Ottone M, Miglio R, Gueresi P, Pettener D. The surname structure of Trentino (Italy) and its relationship with dialects and genes. Ann Hum Biol 2021; 48:260-269. [PMID: 34459343 DOI: 10.1080/03014460.2021.1936635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Thanks to the availability of rich surname, linguistic and genetic information, together with its geographic and cultural complexity, Trentino (North-Eastern Italy) is an ideal place to test the relationships between genetic and cultural traits. AIM We provide a comprehensive study of population structures based on surname and dialect variability and evaluate their relationships with genetic diversity in Trentino. SUBJECTS AND METHODS Surname data were collected for 363 parishes, linguistic data for 57 dialects and genetic data for different sets of molecular markers (Y-chromosome, mtDNA, autosomal) in 10 populations. Analyses relied on different multivariate methods and correlation tests. RESULTS Besides the expected isolation-by-distance-like patterns (with few local exceptions, likely related to sociocultural instances), we detected a significant and geography-independent association between dialects and surnames. As for molecular markers, only Y-chromosomal STRs seem to be associated with the dialects, although no significant result was obtained. No evidence for correlation between molecular markers and surnames was observed. CONCLUSION Surnames act as cultural markers as do other words, although in this context they cannot be used as reliable proxies for genetic variability at a local scale.
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Affiliation(s)
- Alessio Boattini
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Bologna, Italy
| | - Eugenio Bortolini
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Roland Bauer
- Fachbereich Romanistik, Universität Salzburg, Austria
| | - Marta Ottone
- Epidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Rossella Miglio
- Department of Statistical Sciences, University of Bologna, Italy
| | - Paola Gueresi
- Department of Statistical Sciences, University of Bologna, Italy
| | - Davide Pettener
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Bologna, Italy
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2
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Grugni V, Raveane A, Colombo G, Nici C, Crobu F, Ongaro L, Battaglia V, Sanna D, Al-Zahery N, Fiorani O, Lisa A, Ferretti L, Achilli A, Olivieri A, Francalacci P, Piazza A, Torroni A, Semino O. Y-chromosome and Surname Analyses for Reconstructing Past Population Structures: The Sardinian Population as a Test Case. Int J Mol Sci 2019; 20:E5763. [PMID: 31744094 PMCID: PMC6888588 DOI: 10.3390/ijms20225763] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 11/11/2019] [Accepted: 11/14/2019] [Indexed: 11/17/2022] Open
Abstract
Many anthropological, linguistic, genetic and genomic analyses have been carried out to evaluate the potential impact that evolutionary forces had in shaping the present-day Sardinian gene pool, the main outlier in the genetic landscape of Europe. However, due to the homogenizing effect of internal movements, which have intensified over the past fifty years, only partial information has been obtained about the main demographic events. To overcome this limitation, we analyzed the male-specific region of the Y chromosome in three population samples obtained by reallocating a large number of Sardinian subjects to the place of origin of their monophyletic surnames, which are paternally transmitted through generations in most of the populations, much like the Y chromosome. Three Y-chromosome founding lineages, G2-L91, I2-M26 and R1b-V88, were identified as strongly contributing to the definition of the outlying position of Sardinians in the European genetic context and marking a significant differentiation within the island. The present distribution of these lineages does not always mirror that detected in ancient DNAs. Our results show that the analysis of the Y-chromosome gene pool coupled with a sampling method based on the origin of the family name, is an efficient approach to unravelling past heterogeneity, often hidden by recent movements, in the gene pool of modern populations. Furthermore, the reconstruction and comparison of past genetic isolates represent a starting point to better assess the genetic information deriving from the increasing number of available ancient DNA samples.
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Affiliation(s)
- Viola Grugni
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Alessandro Raveane
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Giulia Colombo
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Carmen Nici
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Francesca Crobu
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Italy
| | - Linda Ongaro
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
- Estonian Biocentre, Institute of Genomics, Riia 23, 51010 Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, Riia 23, 51010 Tartu, Estonia
| | - Vincenza Battaglia
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Daria Sanna
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
- Dipartimento di Scienze Biomediche, Università di Sassari, 07100 Sassari, Italy
| | - Nadia Al-Zahery
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Ornella Fiorani
- Istituto di Genetica Molecolare “L.L. Cavalli-Sforza”, Consiglio Nazionale delle Ricerche (CNR), 27100 Pavia, Italy; (O.F.); (A.L.)
| | - Antonella Lisa
- Istituto di Genetica Molecolare “L.L. Cavalli-Sforza”, Consiglio Nazionale delle Ricerche (CNR), 27100 Pavia, Italy; (O.F.); (A.L.)
| | - Luca Ferretti
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Alessandro Achilli
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Anna Olivieri
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Paolo Francalacci
- Dipartimento di Scienza della Vita e dell’Ambiente, Università di Cagliari, 09123 Cagliari, Italy;
| | - Alberto Piazza
- Dipartimento di Scienze Mediche, Scuola di Medicina, Università di Torino, 10124 Torino, Italy;
| | - Antonio Torroni
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
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3
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Tamm E, Di Cristofaro J, Mazières S, Pennarun E, Kushniarevich A, Raveane A, Semino O, Chiaroni J, Pereira L, Metspalu M, Montinaro F. Genome-wide analysis of Corsican population reveals a close affinity with Northern and Central Italy. Sci Rep 2019; 9:13581. [PMID: 31537848 PMCID: PMC6753063 DOI: 10.1038/s41598-019-49901-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/31/2019] [Indexed: 01/13/2023] Open
Abstract
Despite being the fourth largest island in the Mediterranean basin, the genetic variation of Corsica has not been explored as exhaustively as Sardinia, which is situated only 11 km South. However, it is likely that the populations of the two islands shared, at least in part, similar demographic histories. Moreover, the relative small size of the Corsica may have caused genetic isolation, which, in turn, might be relevant under medical and translational perspectives. Here we analysed genome wide data of 16 Corsicans, and integrated with newly (33 individuals) and previously generated samples from West Eurasia and North Africa. Allele frequency, haplotype-based, and ancient genome analyses suggest that although Sardinia and Corsica may have witnessed similar isolation and migration events, the latter is genetically closer to populations from continental Europe, such as Northern and Central Italians.
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Affiliation(s)
- Erika Tamm
- Institute of Genomics, University of Tartu, Tartu, Estonia.
| | - Julie Di Cristofaro
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.,Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | | | - Erwan Pennarun
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Alena Kushniarevich
- Institute of Genomics, University of Tartu, Tartu, Estonia.,Institute of Genetics and Cytology, National Academy of Sciences of Belarus, Minsk, 220072, Belarus
| | - Alessandro Raveane
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani" Università di Pavia, Via Ferrata 9, 27100, Pavia, Italy
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani" Università di Pavia, Via Ferrata 9, 27100, Pavia, Italy
| | - Jacques Chiaroni
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.,Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | - Luisa Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal.,Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135, Porto, Portugal
| | - Mait Metspalu
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Francesco Montinaro
- Institute of Genomics, University of Tartu, Tartu, Estonia. .,Department of Zoology, University of Oxford, Oxford, UK.
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Ehler E, Vanek D. Forensic genetic analyses in isolated populations with examples of central European Valachs and Roma. J Forensic Leg Med 2017; 48:46-52. [PMID: 28454050 DOI: 10.1016/j.jflm.2017.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 03/22/2017] [Accepted: 04/09/2017] [Indexed: 01/27/2023]
Abstract
Isolated populations present a constant threat to the correctness of forensic genetic casework. In this review article we present several examples of how analyzing samples from isolated populations can bias the results of the forensic statistics and analyses. We select our examples from isolated populations from central and southeastern Europe, namely the Valachs and the European Roma. We also provide the reader with general strategies and principles to improve the laboratory practice (best practice) and reporting of samples from supposedly isolated populations. These include reporting the precise population data used for computing the forensic statistics, using the appropriate θ correction factor for calculating allele frequencies, typing ancestry informative markers in samples of unknown or uncertain ethnicity and establishing ethnic-specific forensic databases.
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Affiliation(s)
- Edvard Ehler
- Department of Biology and Environmental Studies, Charles University in Prague, Faculty of Education, Magdaleny Rettigove 4, Prague, 116 39, Czech Republic; Institute of Anthropology, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614, Poznan, Poland.
| | - Daniel Vanek
- Forensic DNA Service, Janovskeho 18, Prague 7, 170 00, Czech Republic; Charles University in Prague, 2nd Faculty of Medicine, V Uvalu 84, Prague, 150 06, Czech Republic; Nemocnice Na Bulovce, Institute of Legal Medicine, Budinova 2, Prague, 180 81, Czech Republic.
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5
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Anagnostou P, Capocasa M, Dominici V, Montinaro F, Coia V, Destro-Bisol G. Evaluating mtDNA patterns of genetic isolation using a re-sampling procedure: A case study on Italian populations. Ann Hum Biol 2016; 44:140-148. [PMID: 27109644 DOI: 10.1080/03014460.2016.1181784] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND A number of studies which have investigated isolation patterns in human populations rely on the analysis of intra- and inter-population genetic statistics of mtDNA polymorphisms. However, this approach makes it difficult to differentiate between the effects of long-term genetic isolation and the random fluctuations of statistics due to reduced sample size. AIM To overcome the confounding effect of sample size when detecting signatures of genetic isolation. SUBJECTS AND METHODS A re-sampling based procedure was employed to evaluate reduction in intra-population diversity, departure from surrounding genetic background and demographic stationarity in 34 Italian populations subject to isolation factors. RESULTS Signatures of genetic isolation were detected for all three statistics in seven populations: Pusteria valley, Sappada, Sauris, Timau settled in the eastern Italian Alps and Cappadocia, Filettino and Vallepietra settled in the Appenines. However, this study was unable to find signals for any of the statistics analysed in 19 populations. Finally, eight populations showing signals of isolation were found for one or two statistics. CONCLUSION The analysis revealed that the use of population genetic statistics combined with re-sampling procedure can help detect signatures of genetic isolation in human populations, even using a single, although highly informative, locus like mtDNA.
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Affiliation(s)
- Paolo Anagnostou
- a Dipartimento di Biologia Ambientale , Sapienza University of Rome , Rome , Italy.,b Istituto Italiano di Antropologia , Rome , Italy
| | - Marco Capocasa
- b Istituto Italiano di Antropologia , Rome , Italy.,c Dipartimento di Biologia e Biotecnologie 'Charles Darwin' , Sapienza University of Rome , Rome , Italy
| | - Valentina Dominici
- a Dipartimento di Biologia Ambientale , Sapienza University of Rome , Rome , Italy
| | | | - Valentina Coia
- e Istituto per le Mummie e l'Iceman, Accademia Europea di Bolzano (EURAC-Research) , Bolzano , Italy
| | - Giovanni Destro-Bisol
- a Dipartimento di Biologia Ambientale , Sapienza University of Rome , Rome , Italy.,b Istituto Italiano di Antropologia , Rome , Italy
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6
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Capocasa M, Taglioli L, Anagnostou P, Paoli G, Danubio ME. Determinants of marital behaviour in five Apennine communities of Central Italy inferred by surname analysis, repeated pairs and kinship estimates. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2013; 65:64-74. [PMID: 24012323 DOI: 10.1016/j.jchb.2013.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Accepted: 07/23/2013] [Indexed: 10/26/2022]
Abstract
The work makes use of surname analysis, repeated pairs and kinship estimates in 11,009 marriage records celebrated in five communities of the Italian Central Apennine (Celano, Lecce dei Marsi, Ortucchio, Roio, Villavallelonga) from 1802 to 1965 with the objective to deepen knowledge of the relative influence of several determinants on their marital behaviour. These towns are part of the same geographic and economic environment: the slopes of the ancient Fucino Lake. This work further elaborates the results from previous studies on the bio-demographic model of the region. The data were analyzed according to three periods of approximately 50 years. Results show the highest inbreeding coefficients in the pastoral towns of Roio and Villavallelonga. Repeated pair analysis highlights a certain degree of population subdivision which declined in time in Celano, Lecce dei Marsi and Ortucchio. The highest and increasing values of RP-RPr in time in Roio suggest a general reduction in genetic heterogeneity. This is possibly due to the celebration of marriages among families selected on the economic basis of pastoralism, as this town historically has had a leading tradition of sheep-farming. Villavallelonga, excluding isonymous marriages, shows an increase in repeated pair unions in time, thus revealing a substructure with marriages among preferred lineages. This is in line with previous results on consanguineous marriages which indicated the tendency of avoiding unions between close relatives in this small geographic isolate. This study demonstrates the influence of geographical (altitude) and social factors (pastoralism) on the marital structures of the investigated populations.
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Affiliation(s)
- M Capocasa
- Dipartimento di Biologia e Biotecnologie "Charles Darwin", Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185 Rome, Italy; Istituto Italiano di Antropologia, Piazzale Aldo Moro 5, 00185 Rome, Italy.
| | - L Taglioli
- Dipartimento di Biologia, Università di Pisa, Via Luca Ghini 13, 56126 Pisa, Italy
| | - P Anagnostou
- Dipartimento di Biologia Ambientale, Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185 Rome, Italy; Istituto Italiano di Antropologia, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - G Paoli
- Dipartimento di Biologia, Università di Pisa, Via Luca Ghini 13, 56126 Pisa, Italy
| | - M E Danubio
- Dipartimento di Medicina clinica, sanità pubblica, scienze della vita e dell'ambiente, Università di L'Aquila, Piazzale Salvatore Tommasi 1, L'Aquila, Italy; Istituto Italiano di Antropologia, Piazzale Aldo Moro 5, 00185 Rome, Italy
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7
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Abstract
The forensic genetics field is generating extensive population data on polymorphism of short tandem repeats (STR) markers in globally distributed samples. In this study we explored and quantified the informative power of these datasets to address issues related to human evolution and diversity, by using two online resources: an allele frequency dataset representing 141 populations summing up to almost 26 thousand individuals; a genotype dataset consisting of 42 populations and more than 11 thousand individuals. We show that the genetic relationships between populations based on forensic STRs are best explained by geography, as observed when analysing other worldwide datasets generated specifically to study human diversity. However, the global level of genetic differentiation between populations (as measured by a fixation index) is about half the value estimated with those other datasets, which contain a much higher number of markers but much less individuals. We suggest that the main factor explaining this difference is an ascertainment bias in forensics data resulting from the choice of markers for individual identification. We show that this choice results in average low variance of heterozygosity across world regions, and hence in low differentiation among populations. Thus, the forensic genetic markers currently produced for the purpose of individual assignment and identification allow the detection of the patterns of neutral genetic structure that characterize the human population but they do underestimate the levels of this genetic structure compared to the datasets of STRs (or other kinds of markers) generated specifically to study the diversity of human populations.
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Affiliation(s)
- Nuno M. Silva
- IPATIMUP (Instituto de Patologia e Imunologia Molecular da Universidade do Porto), Universidade do Porto, Porto, Portugal
| | - Luísa Pereira
- IPATIMUP (Instituto de Patologia e Imunologia Molecular da Universidade do Porto), Universidade do Porto, Porto, Portugal
- Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Estella S. Poloni
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
| | - Mathias Currat
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
- * E-mail:
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