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VIDEO: Ancient DNA find is 'very exciting'

Prof Chris Stringer from the Natural History Museum, London, explains what the discovery of 400,000 year-old human DNA could tell us about human evolution.

From the BBC News-2013-12-4:20:6:1

Leg bone gives up oldest human DNA

The retrieval of high quality DNA from a 400,000-year-old human has opened up a new frontier in the study of our ancient ancestors.

From the BBC News-2013-12-4:14:6:1

Matter: At 400,000 Years, Oldest Human DNA Yet Found Raises New Mysteries

DNA from a fossil in Spain most closely matches another extinct human lineage, Denisovans, whose remains have been found thousands of miles away in Siberia.

From the NYTimes News-2013-12-4:14:6:2

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The EvolDir is directed toward evolutionary biologists, population biologists and scientists in related areas.

Reminder: the preferred use of EvolDir is for bulletins not discussions (for the latter see the USENET/Google groups).

The End of Plagues The Global Battle Against Infectious Disease by J.Rhodes from Palgrave Macmillan (Nov 27).

The Ornaments of Life Coevolution and Conservation in the Tropics by T.Fleming and W.Kress, from Univ Chicago Press (Nov 27).

Evolution of Transcriptional enhancers by M.Rubinstein from RoySoc. (Nov 15).

All Royal Society content back to 1665 is FREE online till Nov 30. (Nov 11).

Female competition and agression special issue RoySoc BiolSci. (Nov 11).

Science Visualization Initiative to improve understanding about evolution in our schools request funds. (Nov 11).

Evolution and Medicine by R.Perlman from Oxford Univ Press (Nov 6).

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Principles of Proteomics 2ed by R.Twyman from Garland Science. (Oct 26).

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SELECTED JOURNAL TOC's

Files added in the last three days:

Evolution_SatDec07.html                                     8608 bytes     Dec  7 05:36
Nature_WedDec04.html                                       72297 bytes     Dec  4 14:36
Nucl._Acids_Res._41:22                                     23292 bytes     Dec  6 07:07
Science_ThuDec05.html                                     220503 bytes     Dec  5 14:36

More Journal TOC's ...

SELECTED FORTHCOMING ARTICLES

Articles added in the last three days:

Dec 6 08:00	Shared Sub-genome Dominance Following Polyploidization Explains Grass Genome Evolutionary Plasticity from a 7 Protochromosome Ancestor with 16K Protogenes. - Florent Murat et al. (GBE)
Dec 6 08:00	Complete DNA sequence of Kuraishia capsulata illustrates novel genomic features among budding yeasts (Saccharomycotina). - L. Morales et al. (GBE)
Dec 6 08:00	Tandem repeat-containing MITE elements in the clam Donax trunculus - Eva Šatović, Miroslav Plohl (GBE)
Dec 5 08:00	The Effects of Stabilizing and Directional Selection on Phenotypic and Genotypic Variation in a Population of RNA Enzymes - Eric J. Hayden et al. (JME)
Dec 4 16:00	Founder niche constrains evolutionary adaptive radiation - Régis C. E. Flohr, Carsten J. Blom, Paul. B. Rainey, Hubertus J. E. Beaumont (PNAS)

More Forthcoming ...

The most recent EvolDir posting is shown here ...

Post-doc positions at Max-Planck Tuebingen: HIV Evolution/Theoretical
Population Genetics

Post-doctoral positions are available in the Max-Planck-Research group
of Richard Neher in Tuebingen, Germany. Our group works on HIV evolution
and theoretical population genetics. HIV evolves very rapidly and the
evolutionary dynamics can be studied in longitudinal samples. In
addition, the abundance of cross-sectional data allows as to investigate
the patterns of molecular evolution on time scales ranging from month to
millions of years.

Our group combines empirical research, a collaboration with Prof. Jan
Albert at the Karolinska Institute in Stockholm, Sweden, who is using
deep sequencing methods to obtain detailed snapshots of HIV populations
at densely spaced time points, with theory. Dynamical data is a much
richer source of evolutionary information that static snapshots and we
will use this data to parameterize models of HIV evolution. In addition
to sequence information, our modeling of HIV evolution builds on
structural information at the level of RNA genome and the viral proteins
as well as the interaction of the viral population with the host immune
system. One focus of the lab is the evolution of regulatory features and
RNA secondary structures. Our empirical work on HIV is complemented by
theoretical work on the dynamics of rapidly evolving population.

* evolution of RNA structures and non-protein aspects of the HIV genome
 * drug resistance evolution in HIV
 * drug resistance evolution in bacteria
 * development of methods to predict evolution

The projects are funded by Max-Planck-Society, an ERC Starting Grant on
HIV evolution, and a collaborative grant on translation efficiency in
viruses together with Tamir Tuller at Tel-Aviv university.

We are looking for highly motivated applicants with a strong background
in mathematics, as well as proficiency in at least one programming and
one scripting language (python, preferably). A PhD in a relevant
discipline (physics, math, biology, or computer science/bioinformatics,
etc) is required. Prior exposure to population genetics and
bioinformatics is desirable, but absolutely not necessary.

The institute is located on the Max Planck Campus in Tuebingen and
offers an international environment, with English as the working
language. We are part of a dynamic and interactive group of labs
researching various aspects of evolution. Tuebingen boasts one of
Germany's top universities and a vibrant cultural life with easy
connections to major European cities.

Applicants should send an application (statement of research interest,
CV, publication list, contact details of three references, merged into a
single PDF) directly to

richard.neher@tuebingen.mpg.de

Salary will be according to the public service employee pay scale (TVOED
13).  For informal inquiries about the position, contact me via email.

You can find general information about our group and the institute at

www.eb.tuebingen.mpg.de/research-groups/richard-neher
and
neherlab.wordpress.com

Relevant publications:

Genealogies of rapidly adapting populations.
Richard A. Neher and Oskar Hallatschek. PNAS, 2013

Mathematical modeling of escape of HIV from cytotoxic T lymphocyte
responses.
V. Ganusov*, R. Neher*, A Perelson, JSTAT, 2013

Quantifying selection against synonymous mutations in HIV-1 env evolution.
Fabio Zanini and Richard A. Neher. Journal of Virology, 2013.

Recombination rate and selection strength in HIV intra-patient evolution.
R. Neher and T. Leitner. PLoS Comput Biol, 2010

richard.neher@tuebingen.mpg.de

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PostDocs	Other	WorkshopsCourses
GradStudentPositions	Archive
Jobs	Conferences	Answers

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