Category Archives: genomics

Music to an amniote’s ears, an “accordion” model of genome size evolution

How did we get where we are? Genetically speaking, that is. A few posts ago, that whole genotype-phenotype question was discussed, how do genomes make plants and animals (and don’t forget the microbes!) look and act how they do. Another … Continue reading

Posted in adaptation, bioinformatics, evolution, genomics | Tagged , , , | 1 Comment

That’s an H. erato of a different color!

What drives different coloration among birds, insects, flowers? One of the major goals in evolutionary studies is understanding what is going on in DNA that makes organisms different. A fancy way to say this is studying how an organism’s genotype … Continue reading

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The seeds of speciation

You don’t have to get very far into an evolution textbook before you bump into Darwin’s finches, the birds descended from South American finches that colonized the Galapagos Islands and “radiated” into an array of different species, each with a … Continue reading

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Resurrecting our ghosts: Helen Pilcher’s Bring Back the King

On September 7, 1936, at the Beaumaris Zoo in Hobart, Tasmania, a wolf-like creature named Benjamin paced up and down in his cage. As night fell, temperatures grew cooler. The keepers, underpaid and struggling themselves, had forgotten to open the … Continue reading

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Diving into the inbreeding depression

This post is going to be a little melodramatic, but I hope that despite all the reading on inbreeding depression, you won’t get depressed. As the media finally started feeding us all the catastrophic news about the impact of global … Continue reading

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Handling microbial contamination in NGS data

Until recently, I had given little thought to the potential for unwanted microbial contamination in high throughput sequence data. I suspect that if you’re a molecular ecologist who doesn’t primarily study microbes or work with ancient DNA, you’re in a … Continue reading

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Unbalanced population sampling and STRUCTURE

The utility and intuition offered by the program STRUCTURE, and more generally, the ‘admixture’ model of Pritchard et al. (2000) are unquestioned – with tens of thousands of citations, it retains its lead among the most popular population genetics software. … Continue reading

Posted in bioinformatics, genomics, howto, methods, population genetics, software, STRUCTURE | Tagged , , | 1 Comment