What we're reading: The heritability of flammability, genomics of adaptation to climate, and when to take a break already

Reading a Book
In the journals
Moreira B., MC Castellanos, and JG Pausas. 2014. Genetic component of flammability variation in a Mediterranean shrub Molecular Ecology. doi: 10.1111/mec.12665.

Our general hypothesis is that flammability-enhancing traits are adaptive; here we test whether they have a genetic component. … We found that at least 42% of the phenotypic variation in flammability was explained by the genetic divergence in a subset of AFLP loci.

Yoder JB, J Stanton-Geddes, P Zhou, R Briskine, ND Young, and P Tiffin. 2014. Genomic signature of local adaptation to climate in Medicago truncatula. Genetics. doi: 10.1534/genetics.113.159319.

Genotypes at [climate-associated] candidate loci also predicted the performance of an independent sample of plant accessions grown in climate-controlled conditions. … candidates for two climate gradients, AMT and PWM, were significantly enriched for genic regions; and genome segments flanking genic AMT and PWM candidates harbored less nucleotide diversity, elevated differentiation between haplotypes carrying alternate alleles, and an overrepresentation of the most common haplotypes.

In the news
“… the biggest consumers of peer review seem to contribute the least to the process.” — Should journals refuse to take submissions from authors who don’t review for them?
“The mistake made by all bibliometricians is that they fail to consider the content of papers, because they have no desire to understand research.” — Why “altmetrics,” and other numeric proxies of a paper’s impact, are bunk.
“The FDA approved a machine called the MiSeqDx, ‘the first FDA-regulated test system that allows laboratories to develop and validate sequencing of any part of a patient’s genome.’ ” — Why the 23andMe decision doesn’t mean the FDA is opposed to genetic testing.
“We are a culture where boasting contests about who’s busier and who’s getting less sleep are not uncommon.” — Are you too busy thinking about tomorrow’s experiment to celebrate today’s results?

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People behind the Science: Dr. Pleuni Pennings

For the first Molecular Ecologist Q&A feature of 2014, I’m excited to present Dr. Pleuni Pennings. Dr. Pennings is a postdoc with Dmitri Petrov at Standord University, where she’s studying the evolution of drug resistance in HIV. In addition to her research, Dr. Pennings make’s fantastic science videos, writes on topics other than HIV, and can be found on twitter. In the questions below, Dr. Pennings comments on ‘broader impacts’,  why you probably shouldn’t care about Tajima’s D as much as you do, and explains why you don’t have to grow up collecting beetles to become a biologist:

Pennings

Dr. Pleuni Pennings, courtesy of Dr. Pennings.


1) First, can you tell us a bit about what got you interested in biology?
In school, I didn’t like biology much, because I felt it was too much memorizing and not enough understanding. It just didn’t make sense to me. I was also not the outdoorsy type when I was young, and never cared much about dinosaurs.
My opinion changed when I was an undergraduate student in Aberdeen, Scotland. It was my first year in university and I was taking classes in math, physics, art history and spanish. I became friends with three biology students*, who lived in the same dorm as I did. And they talked about evolution! I was intrigued! At some point they had to write an essay on “Why there are so many species of insects” and I listened to their discussions with keen interest.**
The next year I transferred to the University of Amsterdam as a biology student.
* One of them is still in evolutionary biology: Tom Pizzari 
** Later, one of my first attempts to a scientific paper was entitled: “Why are there so many species of arthropods”
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Posted in adaptation, interview | Tagged | 4 Comments

What we're reading: Human population growth rates, canine population genomics, and things Hope Jahren will not do

Reading in the snow
In the journals
Gazave E, L Ma, D Chang, A Coventry, F Gao, D Muzny, E Boerwinkle, RA Gibbs, CF Sing, AG Clark, and A Keinan. 2013. Neutral genomic regions refine models of recent rapid human population growth
PNAS doi: 10.1073/pnas.1310398110.

Here, to study recent human history with minimal confounding by selection, we sequenced and examined genetic variants far from genes. These data point to the human population size growing by about 3.4% per generation over the last 3,000–4,000 y, resulting in a greater than 100-fold increase in population size over that epoch.

Freedman AH, I Gronau, RM Schweize, D Ortega-Del Vecchyo, E Han, et al. 2014. Genome Sequencing Highlights the Dynamic Early History of Dogs. PLoS Genetics 10(1): e1004016. doi: 10.1371/journal.pgen.1004016.

Regarding the geographic origin of dogs, we find that, surprisingly, none of the extant wolf lineages from putative domestication centers is more closely related to dogs, and, instead, the sampled wolves form a sister monophyletic clade. This result, in combination with dog-wolf admixture during the process of domestication, suggests that a re-evaluation of past hypotheses regarding dog origins is necessary.

In the news
On being poor in graduate school.
What does it take to get Hope Jahren to take a principled stand? Misogynistic nonsense in the pages of Nature, apparently.
On what counts in doing science: experience, rather than genius.

Why are academics so vulnerable to online outrage?

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What we're reading: Landscape genetics of pikas, a genetic link between larval and adult behavior, and the saddest quest story of the year so far

Law Library Reading Room (Snow!)
In the journals
Castillo JA, CW Epps, AR Davis, SA Cushman. 2014. Landscape effects on gene flow for a climate-sensitive montane species, the American pika. Molecular Ecology doi: 10.1111/mec.12650.

Pikas are heat intolerant and restricted to cool microclimates, thus range contractions have been predicted as climate changes. We evaluated the correlation between landscape variables and genetic distance using partial Mantel tests in a causal modeling framework, and used spatially-explicit simulations to evaluate methods of model optimization including a novel approach based on relative support and reciprocal causal modeling.

Edelsparre AH, A Vesterberg, JH Lim, M Anwari, MJ Fitzpatrick. 2014. Alleles underlying larval foraging behaviour influence adult dispersal in nature. Ecology Letters doi:10.1111/ele.12234.

Using laboratory and field experiments, we demonstrate that natural allelic variation in a gene underlying a foraging polymorphism in larval fruit flies (for), also influences their dispersal tendencies as adults.

In the news
Nature covers Jeremy’s project on LGBTQ scientists.
The cellular basis of blue petunias.
The surprisingly simple genetics of an experimental evolutionary change in E. coli.
What happened when a Hawaiian city councilman decided to learn the facts on genetically modified crops.
Yet another roundup of the many capabilities of R.

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What we're reading: MHC heterozygote advantage in wolves, isolation by environment versus distance, and the case against college sports

Girl reading a book while waiting for a photographer. DSC01669
In the journals
Niskanen AK, LJ Kennedy, M Ruokonen, I Kojola, H Lohi, M Isomursu, E Jansson, T Pyhäjärvi, J Aspi, J. 2014. Balancing selection and heterozygote advantage in MHC loci of the bottlenecked Finnish wolf population. Molecular Ecology doi: 10.1111/mec.12647.

MHC allele frequency distributions in the Finnish population were more even than expected under neutrality, implying balancing selection. In addition an excess of nonsynonymous compared to synonymous polymorphisms indicated historical balancing selection. … MHC-heterozygous wolves were less often infected by Trichinella spp. and carriers of specific MHC alleles, SNP haplotypes and SNP alleles had less helminth infections.

Sexton JP, SB Hangartner, AA Hoffmann. 2014. Genetic isolation by environment or distance: Which pattern of gene flow is most common? Evolution. 68:1558-646. doi: 10.1111/evo.12258.

Of 70 studies, we found evidence of IBD in 20.0%, IBE in 37.1%, and both patterns in 37.1%. In addition, 10.0% of studies exhibited counter-gradient gene flow. In total, 74.3% showed significant IBE patterns.

In the news
About 7% funded, with the median P.I. about 10 years post-Ph.D.: The depressing, depressing summary statistics from NSF grant funding in 2013.
Liam Revell continues to wrap new PHYLIP sub-programs into his RPhylip package.
Can American universities ever quit football?

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Why genetic tests are different

()
(Flickr: Steve McFarland)

In yesterday’s New York Times, Kira Peikoff reported what happened when she took genetic tests for disease risks from three different providers—she got three very different results.

23andMe said my most elevated risks — about double the average — were for psoriasis and rheumatoid arthritis, with my lifetime odds of getting the diseases at 20.2 percent and 8.2 percent. But according to Genetic Testing Laboratories, my lowest risks were for — you guessed it — psoriasis (2 percent) and rheumatoid arthritis (2.6 percent).

For coronary heart disease, 23andMe and G.T.L. agreed that I had a close-to-average risk, at 26 to 29 percent, but Pathway listed my odds as “above average.”

The tone of the article is one of genuine surprise: why would three tests based on reading DNA—the very base code of our biology—come up with such completely different results? But the reaction among the genetics-savvy folks I follow on Twitter was mostly been there, seen that. And, really, Peikoff’s experience isn’t a surprise if you know a bit about the origins of the data used in the genetic tests she took.

To her credit, Peikoff does a good job of explaining the proximate reason for the discrepancies: the different services she used often looked at different genetic markers, or different sets of markers, to come up with disease risk assessments. But why on earth would they be using different markers? It all comes down to the origins of the genetic risk assessments that form the basis of the tests.

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Posted in association genetics, medicine, methods | 5 Comments

Holiday reading: Freeze-resistant angiosperms, genomic differentiation at Evolution Canyon, and a Brave New World for academics online?

chapter and verse
In the journals
Zanne AE, DC Tank, WK Cornwell, et al. 2013. Three keys to the radiation of angiosperms into freezing environments. Nature doi: 10.1038/nature12872.

Here we show that woody clades successfully moved into freezing-prone environments by either possessing transport networks of small safe conduits5 and/or shutting down hydraulic function by dropping leaves during freezing. Herbaceous species largely avoided freezing periods by senescing cheaply constructed aboveground tissue. … By contrast, most deciduous woody lineages had an evolutionary shift to seasonally shedding their leaves only after exposure to freezing (that is, the climate occupancy evolved before the trait).

Hübner S, E Rashkovetsky, YB Kim, JH Oh, K Michalak, D Weiner, AB Korol, E Nevo, P Michalak. 2013.Genome differentiation of Drosophila melanogaster from a microclimate contrast in Evolution Canyon, Israel. PNAS 110:21059-21064. doi: 10.1073/pnas.1321533111.

Long-term studies of Drosophila melanogaster populations inhabiting the canyon have exhibited significant interslope divergence in thermal and drought stress resistance, candidate genes, mobile elements, habitat choice, mating discrimination, and wing-shape variation, all despite close physical proximity of the contrasting habitats, as well as substantial interslope migration. To examine patterns of genetic differentiation at the genome-wide level, we used high coverage sequencing of the flies’ genomes.

In the news
Will new moves to control university employees’ use of online media force online academics to go pseudonymous?
Richard Lenski’s Ten Commandments of statistical inference, and one very important Golden Rule.

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What we're reading: Coevolutionary diversification, replication, archiving, and the real trouble with "luxury" journals

2011 NUC Christmas Tree 6
In the journals
Althoff DM, KA Segraves, MTJ Johnson. 2013. Testing for coevolutionary diversification: linking pattern with process. Trends in Ecology & Evolution. doi: 10.1016/j.tree.2013.11.003.

In this review, we highlight potential mechanisms of coevolutionary diversification, outline approaches to examine this process across temporal scales, and propose a set of minimal requirements for demonstrating coevolutionary diversification.

Vines TH, AYK Albert, RL Andrew, F Débarre, DG Bock, MT Franklin, KJ Gilbert, J-S Moore, S Renaut, DJ Rennison 2013. The availability of research data declines rapidly with article age. Current Biology. doi: 10.1016/j.cub.2013.11.014.

For papers where the authors gave the status of their data, the odds of a data set being extant fell by 17% per year. In addition, the odds that we could find a working e-mail address for the first, last, or corresponding author fell by 7% per year.

See also coverage by The American Scientist, Science Insider, and Nature News.
In the news
“The deal represents a step in the right direction, but a small one.” — How the new U.S. budget deal will affect research funding.
“… if it really takes a year for a study to be reproduced, if your finding is that fragile, this is something that researchers should know about right away from reading the article.” — Formal replication is hard, but it’s still important.
“… a mandatory data archiving policy was much more effective than either recommending archiving or having no policy at all.” — The American Scientist covers Tim’s research on data archiving.
“The secret for sane use is to use Excel only for data entry; any data manipulation … or analysis is done in statistical software.” — When it actually makes sense to use Microsoft Excel.
“Goofus says, ‘George Price published a paper in Nature. He must be really smart. And I am smart because I have smartly recognized his smartness.'” — Jon F. Wilkins on the recent dustup about “luxury” journals.

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No reference genome? No problem! Demographic inference from genomic data in nonmodel insect populations

Guest contributor Martin Sikora.

Guest contributor Martin Sikora.

This guest article by Martin Sikora is cross-posted from the Computational, Evolutionary and Human Genomics blog at Stanford University.
Reconstructing the demographic history of species and populations is one of the major goals of evolutionary genetics. Inferring the timing and magnitude of past events in the history of a population is not only of interest in its own right, but also in order to form realistic null models for the expected patterns of neutral genetic variation in present-day natural populations. A variety of methods exist that allow the inference of these parameters from genomic data, which, in the absence of detailed historical records in most situations, is often the only feasible way to obtain them. As a consequence, it is generally not possible to empirically validate the parameters inferred from genomic data in a direct comparison with a known “truth” from a natural population. Furthermore, until recently, the application of these methods was limited to model organisms with well-developed genomic resources (e.g., humans and fruitflies), excluding a large number of non-model organisms with potentially considerable evolutionary and ecological interest.
Gillete’s Checkerspot (Euphydryas gillettii). Photo taken by Carol Boggs, co-advisor of Rajiv and one of the senior authors of the study.

Gillete’s Checkerspot (Euphydryas gillettii). Photo taken by Carol Boggs, co-advisor of Rajiv and one of the senior authors of the study.


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Posted in genomics, next generation sequencing, population genetics | 2 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 more easily understand underlying processes or to be able to obtain an answer in a first go at a research question.
I think there has been much progression from this assumption across the field, clarifying how results may differ for organisms with overlapping generations (e.g. see 1-5). My question may therefore be less relevant than I originally anticipated. Yet, I have not been able to brush it aside, since I naively thought the answer must already exist. So I’ll pose it to a more general audience here at the Molecular Ecologist: “What percent of described species exhibit truly non-overlapping generations?”

Cicada molts – photo by Flickr user PG Palmer.


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