Category Archives: quantitative genetics

People behind the Science: Dr. Charles Goodnight

This month, we touch on the always-exciting topic of multilevel selection in our Q&A feature with Dr. Charles Goodnight of the University of Vermont. In addition to his work on multi-level selection, Dr. Goodnight has also studied the effects of founder … Continue reading

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On “triangulation” in genome scans

Guest contributor K.E. Lotterhos is a marine biologist at Wake Forest University, who studies evolutionary responses to fishing and climate change. You can find her on Twitter under the handle @dr_k_lo. A major goal of evolutionary biology is to understand the genetic … Continue reading

Posted in adaptation, association genetics, genomics, methods, population genetics, quantitative genetics | Tagged , , , | 7 Comments

How prevalent are non-overlapping generations?

Recently, the question of how prevalent in nature are truly non-overlapping generations has piqued my interest. There are many methodologies which make the assumption that generations are non-overlapping. Or in other cases, it is a simplification we may make to … Continue reading

Posted in community, population genetics, quantitative genetics, Uncategorized | 6 Comments

Random drift and phenotypic evolution

This week we have a guest post from Markku Karhunen. Markku’s research at the University of Helsinki included the development and implementation of a number of very interesting and useful population genetics methods. In his guest post Markku discusses these … Continue reading

Posted in adaptation, methods, population genetics, quantitative genetics, R, software, Uncategorized | 2 Comments

Want to share your code?

In this line of work, we have all encountered tasks that are tedious, time consuming, and repetitive.  (Or if not, maybe give it a bit more time.) When confronted with these situations, people tend to fall into one of two … Continue reading

Posted in bioinformatics, community, genomics, howto, methods, next generation sequencing, phylogenetics, population genetics, quantitative genetics, R, software, theory | 14 Comments

Will climate change be more relentless than evolution?

Ask any biologist what she considers the most urgently important example of adaptive evolution, and—even if she isn’t currently writing a grant proposal—she’ll probably mention global climate change. More than a century of pumping greenhouse gasses into Earth’s atmosphere has … Continue reading

Posted in phylogenetics, quantitative genetics | Tagged | 6 Comments

Evolution 2013 Recap

As we all slowly trickle back from the recent SSE meeting in Snowbird, we’ll each be posting our own thoughts and summaries of the conference. I personally had a fantastic time, met a lot of great people, and saw a … Continue reading

Posted in conferences, population genetics, quantitative genetics, speciation, theory, Uncategorized | 3 Comments

What we're reading: The origins of Hardy-Weinberg equilibrium, GWAS of "educational attainment", and the trouble with impact metrics

In the journals Hardy, G.H. 1908. Mendelian proportions in a mixed population. Science 28: 49. doi: 10.1126/science.28.706.49. Suppose that Aa is a pair of Mendelian characters, A being dominant, and that in any given generation the numbers of pure dominants … Continue reading

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Relentless Evolution: The vital relevance of the visible

One of Stephen Jay Gould’s sharpest conceptual coinages was a barb leveled, from his paleontological perspective, at the body of research focused on bouts of adaptive evolution occurring over “ecological” timespans on the order of a few generations. Reviewing such … Continue reading

Posted in book review, population genetics, quantitative genetics, speciation | Tagged , , | 7 Comments

Where's the heritability? Right where you'd expect—if you look close enough

Biologists have at our disposal two major ways to assess how much genetics contributes to variation in the most interesting traits, or phenotypes, of our favorite study organisms—that is, the heritability of those phenotypes. There’s what you might call the … Continue reading

Posted in quantitative genetics | Tagged , , , | 10 Comments