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Biographical entry Cooper, Alan

Prof

Summary

Profosser Cooper specialises in using ancient DNA to record and study evolutionary processes in real time, especially those associated with environmental change.
Professor Alan Cooper is a member of the research Advisory Committee for The National Centre for Indigenous Genomics.

Details

His work ranges over timescales of hundreds of years old (eg museum specimens) to material well beyond the ca. 60 kyr range of carbon-dating, such as permafrost-preserved bones of mammals and sediment dating to >300 kyr.
His research is characterised by multi-disciplinary approaches involving the combination of information from areas such as geology, archaeology, anthropology, and even forensics to provide novel views of evolution, population genetics and palaeoecology. Recent research highlights include the use of Ice Age mammal populations to record the effects of environmental change, the first complete mitochondrial genome sequences of any extinct species (two New Zealand moas), and the study of how evolutionary rates change over time.
Prof. Cooper's current research features studies of Australian megafaunal species, permafrost preserved material from the Arctic and Antarctic, ancient human DNA (modern human, Neandertals and Flores hominids), and DNA from sedimentary deposits (marine, terrestrial and freshwater). He is also heavily involved in developing new molecular biology techniques to both improve the ability to recover DNA from the past (eg nuclear genomes, mass sequencing approaches), and to analyse the authenticity of aDNA data. This involves recording how DNA is damaged over time, and the effects on retrieved sequence information (which is relevant for forensics work). Current fieldwork areas include Australia, Beringia and North America, South America, South Africa, China and New Zealand.
A further major research theme concerns the use of molecular clocks to estimate the timing of past evolutionary events. Recent work with ancient DNA data suggests that evolutionary rates may change according to the time period over which they are measured, and has major implications for our ability to date recent evolutionary events.

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