What we're reading: Protease-enforced mutualistic exclusivity, predicting complex traits from SNPs, and keeping up with your scientific reading

In the library
In the journals
Orona-Tamayo D., Wielsch N., Blanco-Labra A., Svatos A., Farías-Rodríguez R., Heil M., 2013 Exclusive rewards in mutualisms: ant proteases and plant protease inhibitors create a lock-key system to protect Acacia food bodies from exploitation. Molecular Ecology 22: 4087–4100. doi: 10.1111/mec.12320.

[Protease inhibitors] extracted from Acacia [food bodies] were biologically active, as they effectively reduced the trypsin-like and elastase-like proteolytic activity in the guts of seed-feeding beetles (Prostephanus truncatus and Zabrotes subfasciatus), which were used as non-adapted herbivores representing potential exploiters. By contrast, the legitimate mutu- alistic consumers maintained high proteolytic activity dominated by chymotrypsin 1, which was insensitive to the FB PIs.

Wray N. R., Yang J., Hayes B. J., Price A. L., Goddard M. E., Visscher P. M., 2013 Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics 14: 507–515. doi: 10.1038/nrg3457.

We have highlighted what we believe are limitations to genetic risk prediction as well as the most important pitfalls to befall researchers, and we have discussed how these can be avoided. Most problems occur in the validation stage, when data are not fully independent from those in the dis- covery phase, but care is also needed to ensure that the discovery and validation samples are representative of the popula- tion in which the predictor will be applied.

In the news
Want to make maps of changing climate? There’s a library for that in R.
On the importance of doubt in science, and science careers.
Advice for keeping up with the scientific literature: just give up already. (Except don’t!)

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What we're reading: Genetic diversity at the range edge, symbiote-mediated host shifting, and the T-rex nontroversy

readers
In the journals
Assis J., Castilho Coelho N., Alberto F., Valero M., Raimondi P., Reed D., Alvares Serrão E., 2013 High and distinct range-edge genetic diversity despite local bottlenecks (SJ Goldstien, Ed.). PLoS ONE 8: e68646. doi: 10.1371/journal.pone.0068646.

As predicted, higher differentiation and signs of bottlenecks were found at the southern edge region. However, a decrease in genetic diversity associated with this pattern was not verified. Surprisingly, genetic diversity increased towards the edge despite bottlenecks and much lower densities, suggesting that extinctions and recolonizations have not strongly reduced diversity or that diversity might have been even higher there in the past, a process of shifting genetic baselines.

Brown A. M. V., Huynh L. Y., Bolender C. M., Nelson K. G., McCutcheon J. P., 2013 Population genomics of a symbiont in the early stages of a pest invasion. Molecular Ecology. doi: 10.1111/mec.12366.

We were primarily interested in determining the role of the symbiont in causing the emergence of the pest phenotype in the US. We found strong evidence that the genotype of US Ishikawaella in M. cribraria functionally resembles the Ishikawaella strain that confers the pest status in Japan, in M. punctatissima. Thus, we suggest the initial population of invading insects was probably able to infest soybeans, a surprising result given the resemblance of the host insect to nonpests in Asia.

In the news
What’s it feel like to watch the popular science media rehash a controversy that your field resolved years ago? “… like I am trapped under that fridge.”
A method to suppress expression from a whole chromosome could treat Down’s Syndrome.
How to identify functional transcription factors: come up with a null hypothesis and a standard for comparison.
Will increased data sharing lead to more false positives?

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Will climate change be more relentless than evolution?

Warm Fire

Fire in Kaibab National Forest, Arizona, USA. More frequent wildfires are just one way in which changing climate may exert selection on natural communities.


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 effectively set up a planet-wide experiment in evolution to answer the question, what species will be able to adapt to a warmer world?
Based on the results of a new study by Ignacio Quintero and John J. Wiens, the answer may be, not many. (I first saw coverage of the paper in a piece over at Mother Jones, and when I looked up the original paper in Ecology Letters, I thought it looked worthy of discussion here at The Molecular Ecologist, for reasons that should become obvious.)
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Posted in phylogenetics, quantitative genetics | Tagged | 6 Comments

What we're reading: Invasion genetics, and New Zealand's cutest invader

Reading
Peter, B.M., and M. Slatkin. 2013. Detecting range expansions from genetic data. Evolution online early. doi: 10.1111/evo.12202.

We introduce a statistic ψ (the directionality index) that detects asymmetries in the two-dimensional allele frequency spectrum of pairs of population. These asymmetries are caused by the series of founder events that happen during an expansion and they arise because low frequency alleles tend to be lost during founder events, thus creating clines in the frequencies of surviving low-frequency alleles.

Bolfíková B., Konečný A., Pfäffle M., Skuballa J., Hulva P., 2013 Population biology of establishment in New Zealand hedgehogs inferred from genetic and historical data: conflict or compromise? Molecular Ecology 22: 3709–3720. doi: 10.1111/mec.12331.

One of the most problematic NZ invasions is that of the West European hedgehog (Erinaceus europaeus). A series of introductions from the United Kingdom last- ing until early in the 20th century has been dated to 1869 (Brockie 1990). Recently, this species has reached considerable population densities, even higher than in the native range in the case of the North Island (Brockie 1990).

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Why do we care about population structure?

Arun Sethuraman is a postdoctoral associate with Jody Hey, studying statistical models for divergence population genetics in the Department of Biology at Temple University. You can also find him on Twitter, and on his short story blog.

The structure of human populations across Eurasia, as estimated by Rosenberg et al (2002)

The structure of human populations across Eurasia, as estimated by Rosenberg et al (2002)


After nearly six years of researching population genetic structure as a bioinformatician, visualizing it as a pretty palette of colored subpopulations, with traces of leaky color wells that indicate genetic admixture, I was rather taken aback when a field biologist in the midst of my 8 AM wintry Iowa morning ‘crowd’ at my doctoral defense asked: “Okay so there are K = 5 subpopulations. So what?”
I took what seemed like a sacrilegious hour (when it was really just a few seconds) to mull this over, as proverbial moments of my graduate life flashed before my eyes. I conjured up a few trained lines about why population structure is important with respect to localized accumulations of alleles and inbreeding, possibly detrimental (see Wright’s seminal work on “The Genetical Structure of Populations”, 1949 for a wonderful account of why biologists should care about the presence of population structure). While it was sufficient to pull me through my defense (I passed with flying colors like my many admixture plots), I spent several Starbucks happy hours since, wondering about why we truly care about structure and classification.
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Posted in population genetics, software, STRUCTURE | Tagged | 2 Comments

What we're reading: Selective sweeps in HIV, and rates of molecular evolution in big plants

reading aloud: j reads Harry Potter (3)
In the journals
Leviyang S., 2013  Computational inference methods for selective sweeps arising in acute HIV infection. Genetics 194: 737–752. doi: 10.1534/genetics.113.150862.

HIV escape from CTL [cytotoxic T-lymphocyte] response forms a complex, selective sweep that is difficult to analyze. In this work, we develop a model of initial infection, based on the well-known standard model, that allows for a description of multi-epitope response and the complex mutation pathways of HIV escape.

Lanfear R., Ho S. Y. W., Jonathan Davies T., Moles A. T., Aarssen L., Swenson N. G., Warman L., Zanne A. E., Allen A. P., 2013  Taller plants have lower rates of molecular evolution. Nature Communications 4: 1879. doi: 10.1038/ncomms2836.

Crucially, the long-term rate of mitosis in the apical meristem is likely to be lower in taller plants, because growth slows as plants increase in size and because there are physical limits to the delivery of water and nutrients to apical meristems as they increase in distance from the root system.

In the blogosphere
The story of this retracted Nature paper involves a break-in, tampering with experimental materials, and a hidden camera. Forget the lost publication—who’s got the movie rights?

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#Evol2013: Home from Snowbird

2013.06.25 - Ben, Tom, mountains
On balance, Snowbird, Utah was a pretty great place to hang out with a whole bunch of biologists for five days.
This was my sixth Evolution meeting, and I think it was the first one where I’d just about entirely shaken off the combination of imposter syndrome, social anxiety, and sensory overload that forms a sort of neurotic contrapuntal to conference attendance as a grad student. What talks should I see? Should I try to introduce myself to [insert scientific bigwig]? How do I keep myself occupied for yet another two-hour poster session?
This year, the contrapuntal was finally drowned out via two non-independent processes: I had people to meet, and places to go. At this stage of my career, I have friends and collaborators and mentors all over North America, and Evolution is the one time all year that a large number of them are in one place.
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What we're reading: Well, actually, we were all at this conference …

As you may have noticed. But I did take a lot of nice photos, anyway.
2013.06.24 - Swinging stamens
More thoughts on Evolution 2013 forthcoming. It was a great meeting!

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Evolution 2013 Recap

Lichen en route to Mt. BaldyAs 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 lot of great talks.  I’ll highlight a few of the main points from my favorites below.  This was also the first conference I have been to while a member of Twitter, and it was great being able to look at the updates from other talks I wasn’t able to attend due to concurrent sessions.  If you missed that, check out the #Evol2013 hashtag!
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Posted in conferences, population genetics, quantitative genetics, speciation, theory, Uncategorized | 3 Comments

2012 Impact Factors – Mol Ecol does well, ME Resources blows the roof off

A-Chorus-Line-5

When ME Resources switched to publishing Primer Notes in a summary article back in 2009, I had a strong hunch that our 2012 Impact Factor could go up quite a bit – this is the first year that the IF was calculated from two years (2010 and 2011) where we published no stand-alone Primer Notes.
At the time I thought a figure like 5.0 was possible, but we actually ended up with 7.42. A lot of this is due to the very high citation rate of Laurent Excoffier et al.’s 2010 update of Arlequin (529 citations in 2012), but even excluding this paper our IF would have been something like 5.5. Ultimately, if you publish a paper describing a program or a method and everyone uses it, you’re going to get a lot of citations.
There are plenty of people who decry the Impact Factor and say it should be abandoned, mainly along the lines that IF is a poor predictor of an individual article’s number of citations. I find this argument a bit daft, because the e.g. 2012 IF is (roughly) the average number of citations in 2012 to papers published in 2010 and 2011. This ‘poor predictor’ criticism is thus equivalent to slamming the arithmetic mean for failing to predict the variance.
I do agree that the IF of the journal should not be used to judge the value of an individual paper or, in aggregate, the contribution of an individual researcher. Something like the h-index is much more effective, as it give little weight to outliers like the Arlequin paper. Another useful feature of h-indices is that you can apply them to any grouping of articles, such as a journal. For example, ME Resources’ h-index for papers published in 2010 and 2011 is 30, which means that we have 30 papers with 30 or more citations from those years. Our higher 2012 IF is thus due to good citation rate for a large number of papers, and not just lots of citations for one or two.
Molecular Ecology also did well this year, recovering from its fall in 2011 from 6.45 to 5.52 back up to 6.27. I suspect that this is because we didn’t have any special issues in 2009, but had three spread between 2010 and 2011 (see here, here and here). These attract a lot of attention from the community and hence garner plenty of citations in the following years. I’m interested to see what happens next year.

Posted in Impact Factors, Molecular Ecology, the journal, peer review, science publishing | 2 Comments