Literature DB >> 2727952

Pleiotropy and preadaptation in the evolution of human language capacity.

K Aoki1, M W Feldman.   

Abstract

The capacity for spoken language in the human is a genetic trait, but the information communicated by this means is to a large extent culturally determined. Using a gene-culture coevolutionary approach, we model the hypothesis that speech evolved as a channel for the communication of adaptive cultural traits from parent to offspring. The motivation for this paper is a condition obtained previously that initial increase of communication would require at least a two-fold advantage for the transmitted trait. Here, we show that under reasonable assumptions the invasion condition becomes less stringent. In Model 1, we assume that two adaptive cultural traits can be transmitted. A gene which permits communication of the second adaptive trait. In Model 2, we assume that a related function such as greater memory capacity is a prerequisite for speech, and that this function confers an advantage independent of its association with speech. In both models we assume haploid sexual genetics and a simple scheme of vertical transmission. The stability properties of all corner and edge equilibria of the models are analyzed. The two models taken together suggest a possible scenario for the initial stages of the evolution of speech.

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Year:  1989        PMID: 2727952     DOI: 10.1016/0040-5809(89)90016-6

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  5 in total

Review 1.  Evolutionary biology of language.

Authors:  M A Nowak
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-11-29       Impact factor: 6.237

2.  Gene-culture coevolution: toward a general theory of vertical transmission.

Authors:  M W Feldman; L A Zhivotovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-15       Impact factor: 11.205

Review 3.  How culture shaped the human genome: bringing genetics and the human sciences together.

Authors:  Kevin N Laland; John Odling-Smee; Sean Myles
Journal:  Nat Rev Genet       Date:  2010-02       Impact factor: 53.242

4.  Evolution of individual versus social learning on social networks.

Authors:  Kohei Tamura; Yutaka Kobayashi; Yasuo Ihara
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.118

5.  The evolution of language.

Authors:  M A Nowak; D C Krakauer
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-06       Impact factor: 11.205

  5 in total

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