Non-model organisms provide an interesting avenue to explore evolution in real time in natural populations. Here, we speak to Ralf F. Schneider and Sina J. Rometsch of University of Konstanz, Germany about their co-authored Molecular Ecology article, where they investigate sex‐specific opsin expression of several cichlids from Africa and the Neotropics which they coupled with data sets on sex‐specific body coloration, species‐specific visual sensitivities, lens transmission and habitat light properties. They illustrate how integrative approaches can address specific questions on the factors and mechanisms driving diversification, and the evolution of cichlid vision in particular. Read on to get a behind-the-scenes view of this study.
1. What led to your interest in this topic / what was the motivation for this study?
Cichlid fishes are an amazing system to work with. They are one of the most species rich vertebrate families and adapted to a wide range of ecological niches. This is reflected in outstanding phenotypic diversity in numerous traits. Their striking variation in body coloration, which can sometimes differ considerably between the sexes, has even been acknowledged in their German name “Buntbarsche”, which translates to colorful perches. Moreover, their visual system is intriguingly complex, because cichlids possess a total of seven opsin genes that allow for color vision (humans only have three). While sexual selection has been recognized as a major driver in the evolution of cichlid body coloration (coloration being the “sender”), less is known about what shapes visual sensitivities (the receiving end of the system) in cichlids. Therefore, we were interested in whether the phenotypic diversity found across cichlid visual sensitivities is primarily driven by sexual selection (e.g., vision co-evolves with body colors), or whether environmental factors, such as light availability and water turbidity, turn out to have a stronger effect on the evolution of cichlid vision.
2. What difficulties did you run into along the way?
The main challenge in addressing the question on whether the light environment (“ecological selection”) or conspecifics’ body colorations (“sexual selection”) are driving the diversification in cichlid vision was that both potential drivers are very complex and can be challenging to quantify. The visual environment across cichlids’ habitats varies tremendously, and is dependent on factors, such as water depth and turbidity. Coloration patterns often change across the fish’s body and only photospectrometric measurements across the whole range of visible light wavelengths can objectively quantify a color. Moreover, the fish’s visual system is highly complex. Visual sensitivity can be modified physiologically or by phenotypic plasticity by a number of factors including expressing different subsets of the seven opsin genes, changing their expression level, lens filtering etc. Combining all this information, either obtained from our own experiments or from published studies, in a common framework allowing for meaningful statistical analyses was challenging.
3. What is the biggest or most surprising innovation highlighted in this study?
Most surprising, in terms of results, was to us that we did not find sexual dimorphism in opsin expression in any cichlid – not even those with very strong dimorphism in body coloration (such as in Pseudotropheus lombardoi (attached photo), where females are blue and males are yellow). While we did expect that evaluating mating partners based on their body color would favor associated sexual dimorphism in the visual system, this seemingly has not (yet?) happened in these fish. In terms of methodology, our study integrates a complex data-set on ecological and physiological parameters that can affect the visual sensitivity. This allowed us to evaluate the potential interactions of these parameters in a very comprehensive way.
4. Moving forward, what are the next steps in this area of research?
In our study, we show that a wide range of data can be integrated in a single model, which allowed us to investigate interactions among variables that are rarely used in a common framework. Thus, we encourage future studies to also consider comprehensive approaches when addressing questions concerning the visual ecology of these (or other) fish, if this information is available or obtainable. Additionally, while we have a relatively good understanding of how visual information is perceived by cichlids, there is only very little information on how visual information is processed in the neuronal circuitry of the eye and later in the brain. Understanding signal processing in cichlid eyes will provide a new information layer for evolutionary ecologists to work with.
5. What would your message be for students about to start developing or using novel techniques in Molecular Ecology?
In the last decades, due to ever-increasing computational power, storage capacities and high-throughput techniques, such as next-gen sequencing, large amounts of data can be more reasonably collected and are accessible by more researchers. New methods can benefit from incorporating these data into analysis pipelines to consolidate them or broaden their scope. Being aware of available data can thus be very useful. However, it is also important to us to stress that approaching a scientific question from several angles and across biological disciplines that don’t frequently communicate is often the soundest approach. Classical lab methods, such as in situ hybridization or histology, as well as cutting edge techniques, such as Crispr/Cas9, can provide valuable validation/falsification of formulated hypotheses.
6. What have you learned about methods and resources development over the course of this project?
It was great to see how this study evolved: one question and technique lead to another until we finally aimed at developing an analysis frame-work for the complex data-sets that are obtained in visual ecology of (cichlid) fishes. This comprised changing and further developing our pipeline while analyzing the data. Several preliminary pipelines had to be discarded as they did not properly address our core hypotheses. Thus, an important lesson for us was that it can take a while until a newly developed analysis pipeline does actually what one envisioned roughly at the beginning of the project. Overall, collaborating in a team with members of quite different backgrounds such as ecology, molecular biology and data science and working in a large and well-established lab made it possible to learn and apply new techniques.
7. Describe the significance of this research for the general scientific community in one sentence.
Evaluating the relative strengths of natural vs. sexual selection is a very interesting question and these two forces are often very hard to disentangle, but using a set of multidisciplinary approaches combined with a comprehensive statistical analysis allowed us to show that in narrow light environments visual sensitivity is tuned to exploit all available light, while broader light environments allow for more specialized visual sensitivities.
8. Describe the significance of this research for your scientific community in one sentence.
We show that ambient light is a prime driver for the evolution of visual sensitivities through natural selection in cichlid fishes, whereas sexual selection seems to finetune the observed diversity within the limits set by natural selection.
9. How has COVID-19 affected work in your group?
For the last two months we’ve all been confined to working from home which – on the plus side – allowed us to dedicate more time to data analyses and finishing manuscripts, but on the down side required lab experiments to be currently on hold – unfortunately.
Full paper: Schneider, R. F., Rometsch, S. J., Torres-Dowdall, J., & Meyer, A. (2020). Habitat light sets the boundaries for the rapid evolution of cichlid fish vision, while sexual selection can tune it within those limits. Molecular Ecology. https://onlinelibrary.wiley.com/doi/full/10.1111/mec.15416