Tag Archives: Phenotypes

Gaining Genetic and Epigenetic Data from a Single Established Next-Generation Sequencing Approach

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Post provided by Marco Crotti

How organisms adapt to the environment they live in is a key question in evolutionary biology. Genetic variation, i.e. how individuals within populations differ from each other in terms of their DNA, is an essential element in the process of adaptation. It can arise through different mechanisms, including DNA mutations, genetic drift, and recombination.

Example of how genetic drift can occur over generations via random sampling (i.e. random mating) in a population. (Picture credit: Gringer).

Differences in DNA sequences between individuals can results in differences in the expression of genes. This can therefore determine the organism’s capacity to grow, develop, and react to environmental stimuli. However, a growing body of literature reveals that there are other ways organisms can change the way they interact with the world without mutations in the DNA sequence.

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Issue 10.9: Phenotypes, Species Interactions, Biodiversity and More

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The September issue of Methods is now online!

We’ve got another brilliant issue of Methods in Ecology and Evolution out today. In another bumper 250 page offering, you’ll find articles on identifying waterbird hotspots, identity metrics, capture-recapture methods (and the alternative close-kin mark-recpature) and way more.

Don’t have a subscription to the journal? No need to worry – this month’s issue has TEN articles that are free to access for absolutely anyone. You can find out about all 10 below.

Keep reading for a little more information on the September issue of Methods in Ecology and Evolution. Continue reading →

2017 Robert May Prize Winner: Jonathan Henshaw

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The Robert May Prize is awarded annually for the best paper published in Methods in Ecology and Evolution by an Early Career Researcher. We’re delighted to announce that the 2017 winner is Jonathan Henshaw, for his article ‘A unified measure of linear and nonlinear selection on quantitative traits‘.

The standard approach to quantifying natural selection, developed by Lande and Arnold, does not allow for comparable metrics between linear (i.e. selection on the mean phenotype) and nonlinear (i.e. selection on all other aspects of the phenotypic distribution, including variance and the number of modes) selection gradients. Jonathan Henshaw’s winning submission provides the first integrated measure of the strength of selection that applies across qualitatively different selection regimes (e.g. directional, stabilizing or disruptive selection). Continue reading →

Evolutionary Quantitative Genetics: Virtual Issue

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Post provided by Michael Morrissey

©Dr. Jane Ogilvie, Rocky Mountain Biological Laboratory

Evolutionary quantitative genetics provides formal theoretical frameworks for quantitatively linking natural selection, genetic variation, and the rate and direction of adaptive evolution. This strong theoretical foundation has been key to guiding empirical work for a long time. For example, rather than generally understanding selection to be merely an association of traits and fitness in some general way, theory tells us that specific quantities, such as the change in mean phenotype within generations (the selection differential; Lush 1937), or the partial regressions of relative fitness on traits (direct selection gradients; Lande 1979, Lande and Arnold 1983) will relate to genetic variation and evolution in specific, informative ways.

These specific examples highlight the importance of the theoretical foundation of evolutionary quantitative genetics for informing the study of natural selection. However, this foundation also supports the study other critical (quantification of genetic variation and evolution) and complimentary (e.g., interpretation when environments, change, the role of plasticity and genetic variation in plasticity) aspects of understanding the nuts and bolts of evolutionary change. Continue reading →

Googling for Ecological Answers: Using the Morphic Web Application

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Post provided by Gabriella Leighton

Online Images: A Treasure Trove of Ecological Data

In the proclaimed ‘information age’, where answers are available at the click of a button or a swipe of a finger, we have become accustomed to the ability to get an almost instant grasp of any topic. Other fields are already making use of this wealth of easily accessible online data, but biologists and ecologists tend to let it slip by. However, this attitude is slowly beginning to change. Some ecological and evolutionary studies are emerging that have used the internet to gather data – through online citizen science projects (e.g. Evolution MegaLab) or databases (e.g. using Google Trends) – but few have used existing data, particularly publicly available data from image repositories.

We were curious to apply the concept of using existing images on the internet to a fascinating visual biological phenomenon: colour polymorphism (or the occurrence of multiple discrete colour phenotypes). To do this, we planned to exploit an existing penchant people have for uploading photographs of animals to the Internet.

Our search phrases included the common and scientific name of the species, as well as a location-specific term

Our search phrases included the common and scientific name of the species, as well as a location-specific term

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2016 Robert May Prize Winner: Gabriella Leighton

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The Robert May Prize is awarded annually for the best paper published in Methods in Ecology and Evolution by an Early Career Researcher. We’re delighted to announce that the 2016 winner is Gabriella Leighton, for her article ‘Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms‘.

‘Just Google it’ marks an important step in converting ecology to an armchair science. Many species (e.g. owls, hawks, bears) are difficult, time-consuming, expensive and even dangerous to observe. It would be a lot easier if we didn’t have to spend time, energy and risk lives having to observe organisms in the field! Continue reading →

New Associate Editor: Michael Morrissey

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Today, we are pleased to be welcoming a new member of the Methods in Ecology and Evolution Associate Editor Board. Michael Morrissey joins us from the University of St Andrews in Scotland and you can find out a little more about him below.

Michael Morrissey

“I am an evolutionary quantitative geneticist. I am interested in the selection, genetics, and evolutionary trajectories of traits in natural populations. I typically work at the interface of statistics, evolutionary theory, and empirical problems.”

Michael has been an active reviewer for Methods for the past few years and has provided excellent comments and recommendations on a number of papers. He also had an article – ‘In search of the best methods for multivariate selection analysis‘ – published in the journal in 2014 (which will become freely available in October this year).
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From Tree of Life to Web of Life: How Google Images Can Help Ecologists Study Evolution

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Below is a press release about the Methods paper ‘Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms‘ taken from the British Ecological Society.

Black sparrowhawks are either completely dark or have a white breast. ©Oggmus

Black sparrowhawks are either completely dark or have a white breast. ©Oggmus

Animals caught on camera by amateur photographers and posted on the web could become an important new tool for studying evolution and other ecological questions, researchers from South Africa have found. Their study – the first of its kind – is published today in Methods in Ecology and Evolution.

Colour polymorphism – when a species has two or more colour types – has fascinated biologists since Darwin. The occurrence of these different colour types often varies geographically, providing a useful way of studying how different colour morphs – or phenotypes – evolve.

But the fieldwork needed to collect these data is time consuming and expensive, so Dr Arjun Amar and his student Gabriella Leighton from the University of Cape Town wondered if ecologists could use the thousands of animal images posted on the internet instead. Continue reading →