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A Complete Mitochondrial Genome Sequence from a Mesolithic Wild Aurochs (Bos primigenius)

Overview of attention for article published in PLOS ONE, February 2010
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Title
A Complete Mitochondrial Genome Sequence from a Mesolithic Wild Aurochs (Bos primigenius)
Published in
PLOS ONE, February 2010
DOI 10.1371/journal.pone.0009255
Pubmed ID
Authors

Ceiridwen J. Edwards, David A. Magee, Stephen D. E. Park, Paul A. McGettigan, Amanda J. Lohan, Alison Murphy, Emma K. Finlay, Beth Shapiro, Andrew T. Chamberlain, Martin B. Richards, Daniel G. Bradley, Brendan J. Loftus, David E. MacHugh

Abstract

The derivation of domestic cattle from the extinct wild aurochs (Bos primigenius) has been well-documented by archaeological and genetic studies. Genetic studies point towards the Neolithic Near East as the centre of origin for Bos taurus, with some lines of evidence suggesting possible, albeit rare, genetic contributions from locally domesticated wild aurochsen across Eurasia. Inferences from these investigations have been based largely on the analysis of partial mitochondrial DNA sequences generated from modern animals, with limited sequence data from ancient aurochsen samples. Recent developments in DNA sequencing technologies, however, are affording new opportunities for the examination of genetic material retrieved from extinct species, providing new insight into their evolutionary history. Here we present DNA sequence analysis of the first complete mitochondrial genome (16,338 base pairs) from an archaeologically-verified and exceptionally-well preserved aurochs bone sample.

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Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 3 2%
Portugal 1 <1%
Germany 1 <1%
India 1 <1%
Italy 1 <1%
France 1 <1%
Denmark 1 <1%
Canada 1 <1%
Other 2 1%
Unknown 165 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 28%
Researcher 35 19%
Student > Master 15 8%
Student > Bachelor 15 8%
Professor > Associate Professor 11 6%
Other 35 19%
Unknown 18 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 48%
Biochemistry, Genetics and Molecular Biology 24 13%
Arts and Humanities 11 6%
Social Sciences 9 5%
Computer Science 5 3%
Other 20 11%
Unknown 24 13%