Interview with the authors: Latitudinal divergence in a wide-spread amphibian: contrasting patterns of neutral and adaptive genomic variation

It is difficult to parse the effects of demography and historic processes and the effects of selection, particularly in species that are widespread over heterogeneous environments. In this paper, Patrik Rödin‐Mörch and colleagues use reduced-representation genomic data to investigate the demographic and selective forces driving patterns of genetic diversity in the moor frog. They find evidence of two refugial linages with support for gene flow between lineages, and they find striking differences between neutral and putatively adaptive markers. Read the full article here, and see below for an interview with the authors.

What led to your interest in this topic / what was the motivation for this study? 
We are generally interested in how amphibian populations diverge along environmental gradients, in particular relating to latitude. We have previously focused on adaptive divergence in phenotypic traits relating to growth and development in this system. Amphibians occurring at higher latitudes are very constrained by seasonality and differences in thermal regimes as well as other aspects of the environment, and this should result in strong selection to cope with these constraints. In northern Europe, populations also have a history of glacially mediated range expansions and we are very interested in how this influences divergence along the gradient. Amphibians are very good organisms to study local adaptation as a number of species have quite wide distributions where they occur in different habitat types and thermal regimes with large differences in season length. We wanted to build on previous research by taking a more genome-wide approach that would enable us to detect signatures of divergent selection, explore the distribution of genetic variation along the gradient and model the post-glacial demographic history of the populations.

What difficulties did you run into along the way?
Applying a custom ddRAD library prep protocol on R.arvalis for the first time was a bit challenging in the beginning, as the protocol was put together in another lab for another organism. Because of the large genome of this species, it was challenging settling on which restriction enzyme combination to use and how many fragments that would result in, as we wanted to multiplex ~150 individuals and had limited funds for sequencing. We also wanted to sample populations over the contact zone to get a more comprehensive look at what’s going on there, but finding populations in between the two edge regions of the contact zone was ultimately unsuccessful.

What is the biggest or most surprising finding from this study? 
The findings that intrigued us the most was the contrasting way neutral and putatively adaptive  genetic variation is distributed along the gradient. Particularly so over the post-glacial contact zone, both in terms of nucleotide diversity and based on hybrid index estimation. We were also very pleased that we obtained good support for a model that describes what we initially thought was the correct post-glacial demographic scenario, involving two lineages diverging before the last glacial maximum. After divergence they colonized Scandinavia from two different directions, with gene flow occurring over a contact zone that we could place further south than previously proposed.

Moving forward, what are the next steps for this research? 
In order to continue this work, the next step will be to replicate the latitudinal gradient on the eastern side of the Baltic sea, as well as obtaining samples across the contact zone. The plan is also to move away from ddRAD seq to RNA-seq, and eventually whole genome sequencing. We are currently planning to look at how gene expression as well as SNP variation differs with latitude and combine that information with common garden experiments on larval life-history variation. Ultimately we want to understand the genetic basis of local adaptation based on larval life-history variation and how the demographic effects of post-glacial range expansion has influenced that.

What would your message be for students about to start their first research projects in this topic? 
Make sure you know the literature. Many previous studies have investigated adaptive divergence along various environmental gradients for a number of species, including amphibians in different settings. Also, be prepared to conduct extensive field work, common garden experiments, lab work and bioinformatics, and make sure you have collaborators that can help you out.

What have you learned about science over the course of this project? 
That things usually never work out like you first planned, and sometimes you need to adjust your conceptual and methodological approach as you go along. Another important lesson is the value of collaboration and relying on other people’s expertise and skills.

Describe the significance of this research for the general scientific community in one sentence.
Amphibian populations extending their distribution range northwards after the last ice age have adapted to the environmental constraints experienced at higher latitudes and this has influenced the distribution of genetic variation along the gradient.

Describe the significance of this research for your scientific community in one sentence.
We find neutral and putatively adaptive gene flow over a post-glacial contact zone within a single species and together with strong environmental constraints and historical range dynamics this has shaped patterns of contrasting genetic variation and adaptive divergence along the gradient.

Full article:

Rödin‐Mörch P, Luquet E, Meyer‐Lucht Y, Richter‐Boix A, Höglund J, Laurila A. Latitudinal divergence in a widespread amphibian: Contrasting patterns of neutral and adaptive genomic variation. Mol Ecol. 2019;28:2996–3011. https://doi.org/10.1111/mec.15132

Interview with the author: Sociality, hyenas and DNA methylation

Adding of methyl groups to a DNA molecule or methylation has the interesting ability to alter the activity of a DNA segment without changing the sequence.  In this behind the scenes look, Zachary Laubach and colleagues test if this valuable biomarker is impacted by differences in hyena social status or other ecological factors early in life. What’s particularly impressive is that they garnered insights into methylation from a wild population. They find some surprising results, such as that high ranking mums can confer higher levels of methylation to their cubs that disappears when they get older. Why? Find out below and read the full article here.

Photo credit: Zach Laubach

What led to your interest in this topic / what was the motivation for this study? 

Across a broad taxonomic spectrum, social experiences, particularly those early in life, seem to have a profound impact on organisms’ development. The idea that during sensitive periods of development, social experiences and early life environment can have lasting impacts on the later life phenotype and health is known as the Developmental Origins of Health and Disease (DOHaD) hypothesis, and was formalized in the 1980s by epidemiologists, namely David Barker and his research on cardiovascular disease. Among social mammals, including humans and non-human primates, an individual’s social rank affects their behavior, physiology, and related health outcomes. For example, in humans, low socioeconomic status is widely recognized as a risk factor for cardiovascular complications and other chronic diseases. In non-human primates, low social rank is risk factor for elevated chronic stress and immune dysregulation. So, although we observe that social status affects biology, we still know little about how this all works. To better understand a potential mechanism for how early life environment affects biology, we investigated possible early environmental determinants of a molecular biomarker (DNA methylation) over the course of development in a population of wild spotted hyenas. Similar to many primates, hyenas live in groups organized by a social dominance hierarchy, and whether or not a hyena is born high or low ranking has lifelong consequences.

What difficulties did you run into along the way? 

In this study, we focused on measuring DNA methylation, which is generally of interest to researchers because it is responsive to environmental stimuli and associated with gene expression. Still, while spotted hyenas present a unique opportunity to investigate how various social experiences and ecological factors early in life are associated with biological characteristics later in life, there were no previous studies (at least of which we were aware) that measured DNA methylation in this species. In other words, this was not like working with a well characterized molecular biology model organism, like fruit flies or lab rats. In fact, when we were conducting our lab work there was no publicly available draft hyena genome. In our attempt to assess a potentially informative biomarker in hyenas, we measured multiple types of DNA methylation with varying degrees of success. Finally, the hyenas we study live freely in a large reserve in Kenya, so much of our data were observational and collected under a variety of field conditions making collection of samples non-trivial.

Photo credit: Zach Laubach

What is the biggest or most surprising innovation highlighted in this study? 

This work represents one of a handful of studies conducted in a wild population that measures DNA methylation to better understand how early life environment may influence organisms’ biology over the course of development. Taking advantage of our approximately 30 years’ worth of continuously collected data on individually recognizable hyenas from the Masai Mara Hyena Project, we not only amassed a particularly large sample size for a long-lived, wild mammal, but we were also able to compare patterns of DNA methylation at various stages of development with respect to multiple early life environmental factors. We found that being born to a higher-ranking mom corresponded with greater global DNA methylation in young but not older hyenas. One interpretation of this result is that high ranking moms confer some advantage to their cubs early in life, but that the effect of maternal rank per se is not evident in global DNA methylation of subadult or adult hyenas. We also found some associations between global DNA methylation and litter size, human disturbance, and prey availability in the year a hyena was born, and these associations were strongest in the youngest age group of hyenas.

Moving forward, what are the next steps in this area of research?

In our next steps we are working to understand whether specific types of early life social environments, like maternal care and how well socially connected an animal is within its group, correspond with variation in DNA methylation and adult stress. We are also utilizing more advanced techniques for measuring DNA methylation, so that we might home in on functional pathways that are involved in the development of an adverse stress phenotype. As part of our broader research agenda looking at general biological principles related to DOHaD hypothesis, we have also teamed up with epidemiologists to ask how social status in humans affects biology. In fact, we have recently published another a paper looking at the associations between maternal socioeconomic status and patterns of DNA methylation over the course of development in children who are part of the Project Viva pre-birth cohort study (check out the paper here).

Photo credit: Zach Laubach

What would your message be for students about to start developing or using novel techniques in Molecular Ecology?

This project was part of my PhD work, and from this experience I have learned just how fast molecular biology advances as a field. Given that this technology is constantly changing, it is critical to find mentors and collaborators with up-to-date expertise who are willing to support you. I was fortunate to work in a cutting-edge molecular laboratory, and to receive training from internationally recognized experts in Dr. Dana Dolinoy’s lab who specialize in studying DNA methylation. Additionally, in studies like these that involve large observational data sets and that aim to understand biological mechanisms, the value of clearly defined study questions, hypotheses and a complimentary analytical strategy cannot be understated. In my opinion, novel technology will not substitute for a thoughtful and well-planned analysis.

What have you learned about methods and resources development over the course of this project? 

Working in a novel system, like investigating DNA methylation in wild spotted hyenas, presents challenges and limitations that are unique from those encountered in laboratory settings and when working with model organisms. However, there are deep insights and rich perspective to be gained at the three-way interface between molecular biology, behavioral ecology and evolutionary biology from study populations with intact life histories and that are subject to natural selection. I have also learned that long-term field studies with uninterrupted data collection, like the Masai Mara Hyena Project, provide an invaluable resource and an unmatched opportunity to combine molecular techniques with vast collections of behavioral, demographic and ecological data. In addition, while long-term field studies represent a substantial investment of time and resources, they also present a chance for comparative research that can help elucidate basic biological principals that span taxa, like the DOHaD hypothesis. As such, I believe I have been fortunate to work with Dr. Kay Holekamp’s hyenas and that these types of long-term field studies are an asset to be prioritized and preserved.

Describe the significance of this research for the general scientific community in one sentence.

Social and ecological factors experienced early in life can correspond to changes in molecular biomarkers, like DNA methylation, that are detected over the course of development, and that may affect patterns of gene expression.

Photo credit: Zach Laubach

Describe the significance of this research for your scientific community in one sentence.

Findings from this research suggests that maternal rank, anthropogenic disturbance, and prey availability around the time of birth are associated with later life global DNA methylation in spotted hyenas, particularly in cubs.

Citation: Laubach, ZM, Faulk, CD, Dolinoy, DC, et al. Early life social and ecological determinants of global DNA methylation in wild spotted hyenas. Mol Ecol. 2019; 28: 3799– 3812. https://doi.org/10.1111/mec.15174

Interview with the authors: Evidence for rapid evolution in a grassland biodiversity experiment

Our ability to detect rapid evolution at the level of the genome has improved dramatically over the past decades, driven in part by advances in sequencing technology. It is now possible to detect small genetic differences in a population in just a few generations. This ability has stimulated many questions surrounding the causes and processes of rapid evolution. For example, how is the evolutionary trajectory of a species affected by the diversity of the surrounding community? In their recent Molecular Ecology paper, Dr. Sofia J. van Moorsel and colleagues quantify genetic and epigenetic differences across a set of plant species in the long-term Jena Experiment in Germany, which aims to test the effects of biodiversity on ecosystem functioning. Read below for a behind-the-scenes look at their study.

Link to the study: https://onlinelibrary.wiley.com/doi/full/10.1111/mec.15191

The Jena Experiment in Jena, Germany. This is where the plants had been growing for a decade in their respective communities. The mixtures are not only more productive, but also more photogenic.

What led to your interest in this topic / what was the motivation for this study? 
Previously we had found that offspring of plants from the same species that had been growing either in monoculture or mixture for an extended period of time showed clear phenotypic differences in common environments. We thought that selection in response to community diversity was driving these observations. If selection was occurring, we would find genetic differences between individuals of the same species either from a monoculture or mixture background. However, at the time it was suggested that potentially epigenetics were the source of the observed effects (Tilman & Snell-Rodd 2014). Considering the current interest in the potential role of epigenetics in ecology we wanted to state an example by analyzing our monoculture and mixture phenotypes with a new combined method.

Measuring the traits of the plants in our glasshouse experiment. These are the plants we took the samples from for subsequent sequencing.

What difficulties did you run into along the way? 
In terms of the lab work and bioinformatic analysis, the method we used was still very new, so we needed to update and improve it along the way. Also, we focused perhaps too much on the hypothesis that the observed evolutionary differentiations could have “simply reflected epigenetic effects”. However, when we found clear genetic effects, we realized that this makes it more difficult to detect independent epigenetic effects, in particular because we could not analyze whole epi-/genomes. Further this research was a collaboration between two labs from two different countries. Consequently, we had to organized exchange visits to do lab work and discuss results. Lastly, the publication process is always accompanied with frustrations and hurdles, but thanks to fantastic teamwork and a healthy dose of perseverance we made it!

What is the biggest or most surprising finding from this study? 
The most surprising finding was that for four out of five perennial (!) plant species selected in monoculture vs. mixture were genetically distinct already after 10 years (with at least two experimentally ensured reproductive cycles). We showed that rapid evolution can happen in plant communities after only a small number of generations. Previously it was thought that evolution happening at ecological time scales was either largely limited to organisms with very short generation times (i.e., microbial species) or in macro-organisms like plants limited to non-genetic effects. Even though some of us were critical about the role of epigenetics to start with, most of us were still intrigued that genetic divergence was so clear and that it could explain almost all epigenetic variation.

Measuring traits, harvesting the biomass and taking samples was a big team effort. Which also made it more fun.

Moving forward, what are the next steps for this research?
Reduced-representation sequencing will never be able to exclude with certainty that epigenetic effects are entirely due to genetic differences at a place in the genome far away and thus possibly not sequenced. Ideally, we could do whole-genome bisulfite sequencing to get more to the bottom of all of this. We only sequenced about 2% of the genome, so potentially we have overlooked some important genes affecting DNA methylation. One next step would be selection experiments with clonal replicates of our perennial plants. However, this would also set epigenetic variation to zero and selection would have to use variation arising by new epigenetic mutations, whereas it may be more conceivable that epigenetic differentiation results from “sorting out” standing epigenetic variation.

What would your message be for students about to start their first research projects in this topic?
First of all: forge collaborations. This paper would not have been possible, if we had not met at a conference. If you hear a talk of somebody at a conference or at your department, even if you do not see an immediate potential for collaboration, approach the speaker and tell them about your research. They are likely equally interested in your things as you are in theirs. Further, following the more unconventional research avenue pays off, even when it sometimes might take a little longer getting a paper accepted for publication. Specific to our topic, we would definitely recommend adding an evolutionary twist to classic plant community ecology, it’s an emerging field and it’s always exciting to be among the first researchers to enter a new topic.

Measuring traits in the glasshouse with help of the amazing Enrica De Luca and Nadia Castro.

What have you learned about science over the course of this project? 
Interdisciplinarity, even the small one between ecologists, molecular biologists and bioinformaticians is challenging but highly rewarding. Clearly, hot topics, such as epigenetics in ecology, are not free from differences in beliefs. Here we were juggling many different perspectives both among co-authors and among reviewers. It forced us to find a balance, which is also testimony for the importance of a broad-scale review process (five reviewers and a very engaged associate editor).

Describe the significance of this research for the general scientific community in one sentence.
Rapid genetic but not epigenetic adaptation among plant species in mixtures means that we cannot predict community functioning by studying species in isolation and that we should conserve and restore entire communities and not individual species.

Citation
van Moorsel SJ, Schmid MW, Wagemaker CA, van Gurp T, Schmid B, Vergeer P. (2019). Evidence for rapid evolution in a grassland biodiversity experiment. Molecular Ecology, 28(17), 4097-4117. https://onlinelibrary.wiley.com/doi/full/10.1111/mec.15191

National-scale eDNA metabarcoding study reveals diversity patterns of plant pathogens and how they change with land use

Plant pathogens are a major factor in farming and forestry, and also play a key role in ecosystem health. Understanding pathogens at national scales is critical for appropriate prevention and management strategies and for a sustainable provision of future ecosystem services and agroecosystem productivity. Despite this, at present we have little knowledge of the diversity patterns of plant pathogens and how they change with land use at a broad scale.

Photo credit: Ian Dickie

In our study we show how land uses such as farming and plantation forestry affected the variety of plant pathogens in soil, roots and on plant leaves – and we show there are many more species of plant pathogens in land that’s been modified by pasture, cropping, and plantation forestry than there are in natural forest. The patterns of pathogen diversity are distinct from other microbes.

These are some of the first landscape level insights into these critically important communities including fungal, oomycete and bacterial pathogens in seemingly healthy ecosystems. Our results give scientists new insights into where pathogens exist, and how pathogen communities are structured.

Andreas Makiola and Ian Dickie (Bio-Protection Research Centre, New Zealand)

Read the full article here

As genomic and ecological data sets grow larger in size, researchers are flooded with far more information than was available when many conventional model-based approaches were designed. To deal with these massive amounts of data, many researchers have turned to machine learning techniques, which promise the ability to help find signals within the noise of the complex data sets generated by modern sequencing approaches. Applications for machine learning in molecular ecology are broad and include global studies of biodiversity patterns, species delimitation studies, and studies of the genomic architecture of adaptation, among many others. Here at Molecular Ecology Resources, we are excited to highlight research that applies supervised and unsupervised machine learning algorithms to answer questions of interest to the readership of molecular ecology. This special issue will also highlight the nuances and limitations of machine-learning techniques. Rather than focusing on the supposed differences between machine-learning and model-based approaches, this issue would aim to highlight the broad spectrum of machine-learning approaches, many of which can incorporate model-based expectations and predictions.

We are soliciting original research that applies novel robust applications of machine learning methods on molecular data to address questions across ecological disciplines.

Details

Manuscripts should be submitted in the usual way through the Molecular Ecology Resources website. Submissions should clearly state in the cover letter accompanying the submission that you wish the manuscript to be considered for publication as part of this special issue. Pre-submission inquiries are not necessary, but any questions can be directed to: manager.molecol@wiley.com

Special issue editors: Nick Fountain-Jones, Megan Smith & Frédéric Austerlitz

Summary from the authors: 31° South: The physiology of adaptation to arid conditions in a passerine bird

Karoo scrub-robin (Cercotrichas coryphaeus) in its typical arid habitat in southern Africa. Photo by Krista N. Oswald.

Written by Ângela M. Ribeiro

Arid environments are ecosystems of energetic stringency. Their typical high temperatures, low primary productivity, and unpredictable water availability prove physiologically challenging for birds. How these vertebrates cope with such harshness remains a conundrum in physiological evolutionary biology. While physiological adaptation likely involves energetic metabolic phenotypes, the underlying mechanisms (plasticity, genetics) are largely uncharacterized. To explore this, we developed a intra-specific level framework (Figure 1) that links environmental conditions, phenotypes and genotypes in a passerine bird whose range spans an aridity gradient. We found variation in energetic physiology phenotypes (a measure of energy expenditure) and gut microbiota composition (involved in energy retrieval from food) to be associated with environmental features and identified a small list of candidate adaptive genes. By working at the interface of physiology and genomics, we suggest that selective pressures on energetic physiology mediated by genes related to energy homeostasis and possibly with contribution of gut microbiota may facilitate adaptation to local conditions. Ultimately, our findings offer a possible explanation to the high avian intra-specific divergence observed in harsh environments, raises awareness that accounting for intra-specific variation is fundamental when modeling physiological responses to climate change, and provides a stepping-stone for further research into the mechanisms of phenotypic adaptation to aridity.

Figure 1. Conceptual framework to infer the mechanisms of physiological adaptation to aridity: linking environment (climate and primary productivity), phenotype (organism-level energetic metabolism: basal metabolic rate and metabolic expansibility; microbiome composition) and genotype (genetic variation in genes underlying the biochemical machinery of energy production).

Link to paper: https://onlinelibrary.wiley.com/doi/full/10.1111/mec.15176

Ribeiro ÂM, Puetz L, Pattinson NB, Dálen L, Deng Y, Zhang G, da Fonseca RR, Smit B, Gilbert MT. (2019). 31° South: The physiology of adaptation to arid conditions in a passerine bird. Molecular Ecology. 2019. 28-16. 3709-3721.

Intra-specific variation and the algal microbiome

Individuals within a species vary, and this variation can have important implications for the role a species may play within ecosystems. We compared the relative importance of variation within species due to genetic changes within its own genome versus symbiotic interactions between the focal species and its associated bacteria, also called their microbiome. We focused on Microcystis aeruginosa, a globally distributed photosynthetic cyanobacterium, also known as blue-green algae, that often dominates freshwater harmful algal blooms.

Colony of Microcystis aeruginosa from Gull Lake. Colony photographed by O. Sarnelle of Michigan State University and image prepared by John Megahan of University of Michigan.

These blooms have recently become more common and intense worldwide, causing major economic and ecological damages. We studied Microcystis and their associated microbiomes from lakes in Michigan, USA that vary in phosphorus content, which is the primary limiting nutrient in lakes. We found genomic changes among strains of Microcystis along this phosphorus gradient that indicated increased efficiency in the use of phosphorus and nitrogen. Intriguingly, we found that genotypes adapted to different nutrient environments co-occurred in phosphorus‐rich lakes. This co-occurrence may have critical implications for understanding how Microcystis blooms persist for many months, long after nutrients become depleted within lakes. Similar to previous findings in for example the human microbiome, we uncovered that the bacteria comprising the microbiomes of Microcystis varied in community composition but were more stable at the level of functional contributions to their hosts across the phosphorus gradient. Finally, while our work was mostly focused on unraveling the genomic underpinnings of nutrient adaptation, we also observed consequences of these differences in Microcystis genome and microbiome composition at a physiological level. In particular, when nutrients were provided in abundance, Microcystis (and its microbiome) that had evolved to thrive in low-phosphorus environments could not grow as rapidly as strains from high-phosphorus environments.

Sara Jackrel, Postdoctoral Fellow, University of Michigan.

Read the full article here.

Citation: Jackrel, SL, White, JD, Evans, JT, et al. Genome evolution and host‐microbiome shifts correspond with intraspecific niche divergence within harmful algal bloom‐forming Microcystis aeruginosaMol Ecol. 2019; 28: 3994– 4011. https://doi.org/10.1111/mec.15198