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Human Life History Evolution Explains Dissociation between the Timing of Tooth Eruption and Peak Rates of Root Growth

Overview of attention for article published in PLOS ONE, January 2013
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Title
Human Life History Evolution Explains Dissociation between the Timing of Tooth Eruption and Peak Rates of Root Growth
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054534
Pubmed ID
Authors

M. Christopher Dean, Tim J. Cole

Abstract

We explored the relationship between growth in tooth root length and the modern human extended period of childhood. Tooth roots provide support to counter chewing forces and so it is advantageous to grow roots quickly to allow teeth to erupt into function as early as possible. Growth in tooth root length occurs with a characteristic spurt or peak in rate sometime between tooth crown completion and root apex closure. Here we show that in Pan troglodytes the peak in root growth rate coincides with the period of time teeth are erupting into function. However, the timing of peak root velocity in modern humans occurs earlier than expected and coincides better with estimates for tooth eruption times in Homo erectus. With more time to grow longer roots prior to eruption and smaller teeth that now require less support at the time they come into function, the root growth spurt no longer confers any advantage in modern humans. We suggest that a prolonged life history schedule eventually neutralised this adaptation some time after the appearance of Homo erectus. The root spurt persists in modern humans as an intrinsic marker event that shows selection operated, not primarily on tooth tissue growth, but on the process of tooth eruption. This demonstrates the overarching influence of life history evolution on several aspects of dental development. These new insights into tooth root growth now provide an additional line of enquiry that may contribute to future studies of more recent life history and dietary adaptations within the genus Homo.

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Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 14 15%
Student > Bachelor 10 11%
Student > Master 8 9%
Student > Postgraduate 6 6%
Other 14 15%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 38%
Medicine and Dentistry 15 16%
Arts and Humanities 9 10%
Social Sciences 8 9%
Computer Science 2 2%
Other 6 6%
Unknown 18 19%