Abstract
Background Concerted evolution is normally used to describe parallel changes at different sites in a genome, but it is also observed in languages where a specific phoneme changes to the same other phoneme in many words in the lexicon - a phenomenon known as regular sound change. We develop a general statistical model that can detect concerted changes in aligned sequence data and apply it to study regular sound changes in the Turkic language family.
Results Linguistic evolution, unlike the genetic substitutional process, is dominated by events of concerted evolutionary change. Our model identified more than 70 historical events of regular sound change that occurred throughout the evolution of the Turkic language family, while simultaneously inferring a dated phylogenetic tree. Including regular sound changes yielded an approximately 4-fold improvement in the characterization of linguistic change over a simpler model of sporadic change, improved phylogenetic inference, and returned more reliable and plausible dates for events on the phylogenies. The historical timings of the concerted changes closely follow a Poisson process model, and the sound transition networks derived from our model mirror linguistic expectations.
Conclusions We demonstrate that a model with no prior knowledge of complex concerted or regular changes can nevertheless infer the historical timings and genealogical placements of events of concerted change from the signals left in contemporary data. Our model can be applied wherever discrete elements - such as genes, words, cultural trends, technologies, or morphological traits - can change in parallel within an organism or other evolving group.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Current Biology |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 5 2015 |
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ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Biochemistry, Genetics and Molecular Biology(all)
Cite this
Detecting regular sound changes in linguistics as events of concerted evolution. / Hruschka, Daniel; Branford, Simon; Smith, Eric D.; Wilkins, Jon; Meade, Andrew; Pagel, Mark; Bhattacharya, Tanmoy.
In: Current Biology, Vol. 25, No. 1, 05.01.2015, p. 1-9.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Detecting regular sound changes in linguistics as events of concerted evolution
AU - Hruschka, Daniel
AU - Branford, Simon
AU - Smith, Eric D.
AU - Wilkins, Jon
AU - Meade, Andrew
AU - Pagel, Mark
AU - Bhattacharya, Tanmoy
PY - 2015/1/5
Y1 - 2015/1/5
N2 - Background Concerted evolution is normally used to describe parallel changes at different sites in a genome, but it is also observed in languages where a specific phoneme changes to the same other phoneme in many words in the lexicon - a phenomenon known as regular sound change. We develop a general statistical model that can detect concerted changes in aligned sequence data and apply it to study regular sound changes in the Turkic language family.Results Linguistic evolution, unlike the genetic substitutional process, is dominated by events of concerted evolutionary change. Our model identified more than 70 historical events of regular sound change that occurred throughout the evolution of the Turkic language family, while simultaneously inferring a dated phylogenetic tree. Including regular sound changes yielded an approximately 4-fold improvement in the characterization of linguistic change over a simpler model of sporadic change, improved phylogenetic inference, and returned more reliable and plausible dates for events on the phylogenies. The historical timings of the concerted changes closely follow a Poisson process model, and the sound transition networks derived from our model mirror linguistic expectations.Conclusions We demonstrate that a model with no prior knowledge of complex concerted or regular changes can nevertheless infer the historical timings and genealogical placements of events of concerted change from the signals left in contemporary data. Our model can be applied wherever discrete elements - such as genes, words, cultural trends, technologies, or morphological traits - can change in parallel within an organism or other evolving group.
AB - Background Concerted evolution is normally used to describe parallel changes at different sites in a genome, but it is also observed in languages where a specific phoneme changes to the same other phoneme in many words in the lexicon - a phenomenon known as regular sound change. We develop a general statistical model that can detect concerted changes in aligned sequence data and apply it to study regular sound changes in the Turkic language family.Results Linguistic evolution, unlike the genetic substitutional process, is dominated by events of concerted evolutionary change. Our model identified more than 70 historical events of regular sound change that occurred throughout the evolution of the Turkic language family, while simultaneously inferring a dated phylogenetic tree. Including regular sound changes yielded an approximately 4-fold improvement in the characterization of linguistic change over a simpler model of sporadic change, improved phylogenetic inference, and returned more reliable and plausible dates for events on the phylogenies. The historical timings of the concerted changes closely follow a Poisson process model, and the sound transition networks derived from our model mirror linguistic expectations.Conclusions We demonstrate that a model with no prior knowledge of complex concerted or regular changes can nevertheless infer the historical timings and genealogical placements of events of concerted change from the signals left in contemporary data. Our model can be applied wherever discrete elements - such as genes, words, cultural trends, technologies, or morphological traits - can change in parallel within an organism or other evolving group.
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U2 - 10.1016/j.cub.2014.10.064
DO - 10.1016/j.cub.2014.10.064
M3 - Article
C2 - 25532895
AN - SCOPUS:84920430325
VL - 25
SP - 1
EP - 9
JO - Current Biology
JF - Current Biology
SN - 0960-9822
IS - 1
ER -