期刊
出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2122084119
关键词
cultural evolution; population genetics; languages; molecular anthropology
资金
- University Research Priority Program Evolution in Action of the University of Zurich
- National Centre of Competence in Research Evolving Language
- Swiss National Science Foundation (SNSF) [51NF40_180888]
- SNSF [183578]
- Ministry of Education, Culture, Sports, Science and Technology Japan Kakenhi [21H05366]
- Nankai University, China [G2021125001L]
- Deutsche Forschungsgemeinschaft (German Research Foundation) under Germany's Excellence Strategy [EXC 2150 390870439]
Human history is written in both our genes and our languages, and the congruence between biological and linguistic histories has been a subject of debate. By using a genomic database (GeLaTo), researchers found that populations speaking languages from the same family are genetically similar. However, there are also genetic mismatches between populations closely related linguistically. These mismatches are scattered globally and mainly result from populations adopting the language of genetically different neighboring populations due to demographic shifts.
Human history is written in both our genes and our languages. The extent to which our biological and linguistic histories are congruent has been the subject of considerable debate, with clear examples of both matches and mismatches. To disentangle the patterns of demographic and cultural transmission, we need a global systematic assessment of matches and mismatches. Here, we assemble a genomic database (GeLaTo, or Genes and Languages Together) specifically curated to investigate genetic and linguistic diversity worldwide. We find that most populations in GeLaTo that speak languages of the same language family (i.e., that descend from the same ancestor language) are also genetically highly similar. However, we also identify nearly 20% mismatches in populations genetically close to linguistically unrelated groups. These mismatches, which occur within the time depth of known linguistic relatedness up to about 10,000 y, are scattered around the world, suggesting that they are a regular outcome in human history. Most mismatches result from populations shifting to the language of a neighboring population that is genetically different because of independent demographic histories. In line with the regularity of such shifts, we find that only half of the language families in GeLaTo are genetically more cohesive than expected under spatial autocorrelations. Moreover, the genetic and linguistic divergence times of population pairs match only rarely, with Indo-European standing out as the family with most matches in our sample. Together, our database and findings pave the way for systematically disentangling demographic and cultural history and for quantifying processes of shifts in language and social identities on a global scale.
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