Monthly Archives: January 2015

Sex chromosome evolution … in haploids, that is

In diploid organisms, the rates of mutation and recombination played a pivotal role in the evolution of sex-determining regions and, thus, sex chromosomes.  We know quite a bit theoretically and empirically in XY systems in mammals and ZW systems in … Continue reading

Posted in evolution, mutation | Leave a comment

SpaceMix, and a brief history of Spatial Genetics

Incorporating spatial data to inform studies of the population demography of a species has a long history of interest. From inferring geographical clines in Principal Components Analyses (Menozzi et al. 1978), using location data as “informative priors” during model-based estimation … Continue reading

Posted in bioinformatics, howto, population genetics, R, software | Tagged , , , | Leave a comment

A current review of modern and ancient eDNA

There is something romantic about environmental DNA. The ability to discover the presence of almost any species just by detecting the microscopic bread crumbs they leave behind? That is really just a deerstalker and pipette away from Sherlock-level science. But if … Continue reading

Posted in DNA barcoding, genomics, metagenomics, Paleogenomics | Tagged , | 2 Comments

A population genetic R-evolution

Uphill, both ways, in the snow, without shoes … quite apt when thinking of the dark days, in the not too distant past, in which a separate input file was needed for each popgen analysis in order to use a … Continue reading

Posted in howto, methods, population genetics, R, software, Uncategorized | 3 Comments

Whip it. Population structure and cross-species transmission of Whipworms

This may be my second worm-related post, but it comes from the PLoS journal that is first in my heart: PLoS Neglected Tropical Diseases. And, as the journal name suggests, it is about a neglected tropical disease: the Whipworm (Trichuris … Continue reading

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Linking gene expression and phenotype in an emerging model organism

Last week in his post “Transcriptomics in the wild (populations),” TME contributor Noah Snyder-Mackler focused on a recent paper by Alvarez et al. that reviews the last decade of transcriptomic research including the goal of linking gene expression and phenotype. Researchers today routinely collect transcriptomic data for non-model … Continue reading

Posted in genomics, howto, methods, Uncategorized | Leave a comment

Species and sensibility

Pante et al. (2014) performed a literature review of marine population connectivity in order to illustrate the biased estimates of connectivity which can result from the failure to recognize an evolutionary-relevant unit, such as a species. When exploring the connectivity … Continue reading

Posted in adaptation, community ecology, conservation, DNA barcoding, natural history, next generation sequencing, phylogenetics, population genetics, speciation, theory | 6 Comments

Recent Ancestry of the USA and the 100k Genome Project

Holiday presents for pop-gen enthusiasts come in the form of data – boatloads of it! The past two weeks saw the announcements of two neat studies that spell monumental steps toward our understanding of the genetics of mixed populations. With … Continue reading

Posted in genomics, population genetics | Tagged , , | 1 Comment

Totally RAD, Part 2

Edit (8/20/15): I used the wrong web address for Kimberly Andrews! Go check out her work here. Sorry Kim! Restriction site-associated DNA sequencing (RADseq) is quickly becoming the go-to methodology for collecting population genetic data, and the methodological difficulties of … Continue reading

Posted in genomics, Molecular Ecology views, next generation sequencing, population genetics | Tagged , , | 1 Comment

Transcriptomics in the wild (populations)

The genomics revolution is coming has already come. The past decade has seen countless advances in genomic techniques – many of which are now commonly found in any molecular ecologist’s toolbox. For example, instead of measuring gene expression in one … Continue reading

Posted in genomics, next generation sequencing | Tagged , , | 1 Comment