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Beyond Reasonable Doubt: Evolution from DNA Sequences

Overview of attention for article published in PLOS ONE, August 2013
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Title
Beyond Reasonable Doubt: Evolution from DNA Sequences
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0069924
Pubmed ID
Authors

W. Timothy J. White, Bojian Zhong, David Penny

Abstract

We demonstrate quantitatively that, as predicted by evolutionary theory, sequences of homologous proteins from different species converge as we go further and further back in time. The converse, a non-evolutionary model can be expressed as probabilities, and the test works for chloroplast, nuclear and mitochondrial sequences, as well as for sequences that diverged at different time depths. Even on our conservative test, the probability that chance could produce the observed levels of ancestral convergence for just one of the eight datasets of 51 proteins is ≈1×10⁻¹⁹ and combined over 8 datasets is ≈1×10⁻¹³². By comparison, there are about 10⁸⁰ protons in the universe, hence the probability that the sequences could have been produced by a process involving unrelated ancestral sequences is about 10⁵⁰ lower than picking, among all protons, the same proton at random twice in a row. A non-evolutionary control model shows no convergence, and only a small number of parameters are required to account for the observations. It is time that that researchers insisted that doubters put up testable alternatives to evolution.

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Geographical breakdown

Country Count As %
United Kingdom 4 9%
United States 2 4%
Belize 1 2%
Colombia 1 2%
New Zealand 1 2%
Germany 1 2%
Unknown 37 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 11 23%
Student > Master 7 15%
Student > Doctoral Student 4 9%
Lecturer > Senior Lecturer 2 4%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 55%
Biochemistry, Genetics and Molecular Biology 7 15%
Earth and Planetary Sciences 3 6%
Mathematics 2 4%
Computer Science 1 2%
Other 3 6%
Unknown 5 11%