Linguistic probes into human history

Dit proefschrift omvat vijf reeds gepubliceerde artikelen en een studie die binnenkort verschijnt. Daarin heb ik taalkundige methoden onderzocht, getoetst en gebruikt om linguïstische variëteiten te classificeren op basis van steekproeven die bestaan uit lexicale items.De gerapporteerde studies hebben betrekking op de classificatie van Nederlandse variëteiten uit Nederland, talen en dialecten uit Spanje, Bantu-variëteiten uit Gabon, Tanzania en tenslotte Turkse en Indo-Iraanse talen die gesproken worden in Kirgizstan, Tadzjikistan en Oezbekistan.Binnen een multidisciplinair perspectief dat gericht is op het verschaffen van een hoger niveau van antropologische synthese wordt de taalkundige diversiteit gebruikt als proxy voor de culturele verschillen van de overeenkomstige populaties en wordt vervolgens vergeleken met de variabiliteit van familienamen (hun aantal, frequentie en geografische verdeling) of met genetische verschillen die gebaseerd zijn op moleculaire kenmerken in het DNA.Met betrekking tot dat laatste kan de analyse van familienamen migraties zichtbaar maken die mogelijk in historische tijden hebben plaatsgevonden, en kunnen we regio's onderscheiden die veel immigranten hebben ontvangen die wegtrokken uit demografisch stabieler gebleven regio's. Wij vermoeden dat dergelijke migratiepatronen dialect- en taalcontact hebben beïnvloed. Dit is een nieuw perspectief van waaruit we de effecten van migratie op taalverandering kunnen onderzoeken.This thesis in linguistics includes five published articles and one study to appear, in which I review, test and use computational linguistic methods to classify languages and dialects consisting of lexical items – the sort of material that is generally readily available from linguistic atlases and databases. To compare linguistic varieties and classify them, methods that lead to the computation of a linguistic distance matrix are used.The studies reported respectively concern the classification of Dutch dialects from the Netherlands; languages and dialects from Spain; Bantu languages from Gabon, Tanzania and, finally, Turkic and Indo-Iranian languages spoken in Kyrgyzstan, Tajikistan and Uzbekistan.In a multidisciplinary perspective aimed at providing a higher level of anthropological synthesis, linguistic diversity is used as a proxy for the cultural differences of corresponding populations and is then compared to the variability of family names (their number, frequency and geographic distribution) or to genetic differences based on molecular markers on the DNA. The analysis of family names enables the depiction of migrations which have taken place in historical times, and, allows us to distinguish regions that have received many immigrants from those that have remained demographically more stable. We conjecture that such migration patterns have influenced dialect and language contact. This is a novel perspective from which we may examine the effects of migration on language change, for example it appears that Spanish languages have remained lively because the regions where they are spoken have often be quite isolated demographically

General Method to Unravel Ancient Population Structures through Surnames, Final Validation on Italian Data

We analyze the geographic location of 77,451 different Italian surnames (17,579,891 individuals) obtained from the lists of telephone subscribers of the year 1993. By using a specific neural network analysis (Self-Organizing Maps, SOMs), we automatically identify the geographic origin of 49,117 different surnames. To validate the methodology, we compare the results to a study, previously conducted, on the same database, with accurate supervised methods. By comparing the results, we find an overlap of 97%, meaning that the SOMs methodology is highly reliable and well traces back the geographic origin of surnames at the time of their introduction (Late Middle Ages/Renaissance in Italy). SOMs results enables one to distinguish monophyletic surnames from polyphyletic ones, that is surnames having had a single geographic and historic origin from those that started to be in use, with an identical spelling, in different locations (respectively, 76.06% and 21.05% of the total). As we are interested in geographic origins, polyphyletic surnames are excluded from further analyses. By comparing the present location of each monophyletic surname to its inferred geographic origin in late Middle Ages/Renaissance, we measure the extent of the migrations having occurred in Italy since that time. We find that the percentage of individuals presently living in the very area where their surname started to be in use centuries ago is extremely variable (ranging from 22.77% to 77.86% according to the province), thus meaning that self-assessed regional identities seldom correspond to the autochthony they imply. For example the upper part of the Thyrennian coast (Northern Latium, Tuscany) has a strong identity but few autochthonous inhabitants (28%) having been a passageway from the North to the South of Italy

Molecular Anthropology in the genomic era

Molecular Anthropology is a relatively young field of research. In fact, less than 50 years have passed since the symposium ''Classification and Human Evolution'' ( 1962, Burg Wartenstein, Austria), where the term was formally introduced by Emil Zuckerkandl. In this time, Molecular Anthropology has developed both methodologically and theoretically and extended its applications, so covering key aspects of human evolution such as the reconstruction of the history of human populations and peopling processes, the characterization of DNA in extinct humans and the role of adaptive processes in shaping the genetic diversity of our species. In the current scientific panorama, molecular anthropologists have to face a double challenge. As members of the anthropological community, we are strongly committed to the integration of biological findings and other lines of evidence (e.g. linguistic and archaeological), while keeping in line with methodological innovations which are moving the approach from the genetic to the genomic level. In this framework, the meeting "DNA Polymorphisms in Human Populations: Molecular Anthropology in the Genomic Era" ( Rome, December 3-5, 2009) offered an opportunity for discussion among scholars from different disciplines, while paying attention to the impact of recent methodological innovations. Here we present an overview of the meeting and discuss perspectives and prospects of Molecular Anthropology in the genomic era

The Family Name as Socio-Cultural Feature and Genetic Metaphor: From Concepts to Methods

A recent workshop entitled The Family Name as Socio-Cultural Feature and Genetic Metaphor: From Concepts to Methods was held in Paris in December 2010, sponsored by the French National Centre for Scientific Research (CNRS) and by the journal Human Biology. This workshop was intended to foster a debate on questions related to the family names and to compare different multidisciplinary approaches involving geneticists, historians, geographers, sociologists and social anthropologists. This collective paper presents a collection of selected communications

Interview with Anne Kandler, Winner of the 2009 Gabriel W. Lasker Prize

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Autochthony and \u3cem\u3eHLA\u3c/em\u3e Frequencies in the Netherlands: When Surnames Are Useless Markers

To study the genetic variability of the HLA loci A, B, DR, and DQ in the Netherlands, we analyzed more than 13,000 typings provided by the Dutch National Reference Laboratory for Histocompatibility. To investigate any possibly existing population structure, we subdivided the typings by the geographic location of residency of donors and by the historical belonging of their surnames to given provinces. Concerning possible geographic patterns, we found no significant differences between the four provinces examined (North Holland, South Holland, Utrecht, Zeeland). To assess whether such a negative result was related to recent immigration to the area (the richest of the country) that erased possible preexisting patterns of HLA diversity, we reprocessed the database according to the surnames of HLA donors. We obtained two groups: (1) those having a surname typical of the four provinces they inhabit and (2) those with surnames coming from elsewhere. Such an analysis was made possible because of the availability of a database concerning the geographic origin of most Dutch surnames. Even with this surname-based approach, no major differences were found. We conclude that either the western part of the Netherlands was genetically homogeneous before the official introduction of Dutch surnames two centuries ago by Napoleon or surnames have no power in dissecting HLA variability; that is, such variability is the result of recombination phenomena that surnames cannot mirror because they are transmitted virtually unchanged generation after generation. A comparable study by other investigators recommended the use of family names to identify rare HLA haplotypes in France, but now, concerning the Netherlands, we find opposite results. We suggest that a few typing centers may be sufficient to type bone marrow donors, because HLA genetic differences between the different provinces of the Netherlands are extremely low. To maximize the number of donors, such centers should be located in areas providing the easiest access to the largest population of possible donors, thus disregarding the search for a local variability that we did not find. Pay-Per-View Download To access this article as a PDF pay-per-view download via BioOne, please click here

Genetic Structures and Linguistic Boundaries in Italy: A Microregional Approach

International audienceThe amount of genetic data (sequences, gene frequencies, and isonymy) available for the Province of Ferrara, Italy, makes this area one of the world's best known. In an effort to infer the underlying demographic processes, we studied the province's population structure by comparing geological, palaeoclimatic, archeological, historical, and linguistic data. This multilevel approach allowed us to date some characteristics of the population structure from prehistoric times to the Roman and Middle Ages, and to detect overlapping biological, cultural, and geographic boundaries. To detect linguistic boundaries within this area we turned pronunciation differences into phonetic notation. We then computed pairwise distances by using methods for multiple genetic sequence analysis, in order to obtain a distance matrix of the overall pronunciation variability. This approach enabled us to test the association among linguistic, geographical, and genetic distance matrices using the same statistical tests. Results indicate that demographic phenomena can be traced in an area as small as the Province of Ferrara and that, on a microregional scale, recent events may have influenced important aspects of the overall genetic variation