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Printable Handouts
Navigable Slide Index
- Introduction
- Talk outline
- Background
- Race classification = Language classification
- Outline: Study of global gene-language coevolution
- Linguistic classification 1988
- Linguistic classification 2015
- Criticisms of the 1988 study
- Outline: Haploid genetic data
- Haploid genetic data: Mitochondrial DNA (mtDNA)
- Y-chromosome microsatellites
- Y-chromosome microsatellites: example
- Data from a Native American population
- Autosomal microsatellites, HGDP-CEPH
- Outline: methods of analysis
- Methods: gene identity & heterozygosity
- Gene identity within & between HGDP populations
- Genetic distance between populations
- Matrix of Nei’s minimum genetic distances
- Population trees from genetic distances
- Neighbor joining tree for HGDP-CEPH populations
- Test of treeness
- Language trees
- Comparative method: Step 1
- Comparative method: Step 2-5
- The Proto-Indo-European language
- Indo-European language tree
- Outline: findings
- Formal test of congruence of trees
- Results of test
- mtDNA-language coevolution in North America
- mtDNA-language coevolution in South America
- South American language classifications
- Language structure is not the genetic structure
- Coevolution of Uto-Aztecan languages
- Y-chromosome & Uto-Aztecan languages
- Summary of studies of haploid DNA
- Outline: Gene-language coevolution in genomic era
- Autosomal microsatellites
- Methods: Waypoint geographic distances
- Genetic diff. vs. waypoint geographic distance (1)
- Isolation by distance
- Genetic diff. vs. waypoint geographic distance (2)
- Serial Founder Effect (SFE)
- Daughter population buds from the parent
- Hierarchical vs. Isolation by distance processes
- Genetic diff. vs. waypoint geographic distance (3)
- Heterozygosity WITHIN populations
- East African origin SFE not isolation by distance
- Within-population pattern using other processes
- Neighbor joining tree & J between-populations
- Test of treeness (GHM)
- Conclusions regarding SFE
- Map of the global distribution of language families
- SFE for languages
- Reminder of SFE for autosomal microsatellites
- SFE for phonemes
- Origin point analysis for autosomal microsatellites
- SFE for phonemes (Atkinson)
- Analysis of autosomal microsatellites & phonemes
- Phonemic & genetic variation vs.geo location
- Similar axes of phonemic & genetic differentiation
- Best fit origin for phonemes in Europe not Africa
- Best fit origin for phonemes is Europe
- Breaking up a scatterplot into distance classes
- SFE for genes/Isolation by distance for phonemes
- Conclusions about SFE using phoneme inventories
- Regional studies-language & genetic evolution
- Austronesian languages in Oceania (hypotheses)
- Austronesian Pause-Pulse
- Estimated age of the Austronesian language family
- Indo-European languages (hypotheses)
- Much stronger support for Anatolian hypothesis
- Anatolian origin of Indo-European languages
- Origin and spread of Indo-European languages
- Other models of language evolution
- Genetic analyses
- Why study gene-language coevolution?
- References (1)
- References (2)
Topics Covered
- The first study of global gene-language coevolution
- Coevolution since 1988
- Coevolution in the genomic era
- Serial Founder Effect for genes and languages?
- Regional studies of language and population genetic evolution
Talk Citation
Hunley, K. (2015, March 18). Genetic and linguistic evolution and coevolution [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 3, 2024, from https://doi.org/10.69645/DXUT4919.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Keith Hunley has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Other Talks in the Series: Human Population Genetics II
Transcript
Please wait while the transcript is being prepared...
0:00
Hello, my
name is Keith Hunley.
I'm a genetic anthropologist in
the evolutionary anthropology
subfield of the
Department of Anthropology
at the University of New Mexico.
Genetic anthropologists apply
methods from statistical genetics
to diverse types of data to examine
the nature, evolutionary causes,
and larger social and scientific
meaning of the structure
of human diversity.
My research interests include
human origins and dispersal.
And I've been studying the topic
of today's lecture, gene-language
coevolution, for about 12 years.
0:31
This is the outline for the lecture.
I'll begin with some background
about the theoretical underpinnings
and rationale for studies of
gene-language coevolution.
0:40
In 1859, the comparative method
for studying the development
of languages was still emerging.
Controversial hypotheses had been
developed about the relationships
among Indo-European languages.
But there was no consensus
about these relationships
or the methods used
for determining them.
This quote illustrates Darwin's
thinking about this problem
and a potential solution.
Human races had undergone
a process of descent
with modification from a
single common ancestor.
And their languages
must have evolved
in concert with those races.
So if we possess a perfect
pedigree of mankind,
a genealogical arrangement
of the races of man
would afford the best classification
of the various languages
now spoken throughout the world.
1:24
As Darwin saw it, there was a
single common ancestral group
that underwent a series of
splits followed by independent
or nearly independent evolution.
In isolation, genes and
languages coevolved.
And if you knew one
classification, you knew the other.
I will refer to this splitting
and independent evolution
process as a tree-like process, or
as treeness throughout the lecture.
And I also will refer to
congruent gene and language trees.