1. Introduction
One of the first morphological aberrations described in blind Mexican cavefish, following their discovery in 1936, were facial bone fragmentations. Hubbs and Innes (1936) supposed that these fragments might have arisen from injury, perhaps during life or following specimen preservation [
1]. However, subsequent discoveries of additional cavefish populations across the Sierra de El Abra landscape of northeastern Mexico demonstrated that fragmentation arises as a normative component of cavefish cranial bone development [
2,
3]. These fragmentation phenotypes have evolved in different cave populations (
Figure 1), reviewed in [
4].
The genetic and molecular basis for facial bone fragmentation, and its potential adaptive significance, remains entirely unknown. However, the principal bone that undergoes fragmentation in blind Mexican cavefish, the third suborbital bone (“SO3”), is densely populated by cranial sensory neuromasts of the lateral line system [
5]. These mechanoreceptive structures are made up of sensory hair cells and are crucial signaling centers conferring a keen sense of water movements (e.g., hydrodynamic flow, vibration) and facilitating foraging in the total darkness of the cave [
6]. Notably, surface-dwelling fish from the rivers and streams surrounding the El Abra cave complex never demonstrate the fragmentation phenotype [
4]. Moreover, the density of cranial neuromasts overlying the SO3 bone in surface fish is modest in comparison to cavefish.
Recent studies have demonstrated that patterns of fragmentation in cavefish are asymmetric [
7]. Further, analyses in zebrafish reveal that the facial bone morphology is associated with distribution patterns of cranial neuromasts [
8]. In this report, we sought to establish a relationship between the pattern(s) of bone fragmentation and cranial neuromasts. An important challenge was the fact that cranial neuromast patterns (genetically, numerically and spatially) are highly complex. Therefore, we aimed to generate an index of symmetry between the left and right sides of individuals, in a quantitative manner.
Towards this end, we developed a method in which the precise positions of neuromasts were digitally defined and scored independently on the left and right sides of the cranium. Once defined, digital representations of neuromast positions were reflected on one side of the face, and aligned to the contralateral side (
Figure 2). Using a software program workflow, we calculated the degree of overlap (i.e., the correlation) in cranial neuromast position between the left and right facial sides. By performing this analysis in multiple individuals, we were able to calculate an average “measure” of symmetry across representative members of three different cavefish populations and the surface-dwelling fish population.
Bone morphology impacts neuromast position in other fish species [
8]. Therefore, we reasoned that superficial neuromast pattern and positioning would demonstrate higher measures of symmetry in surface versus cave-dwelling populations. This follows the observation that surface fish demonstrate near perfect cranial symmetry with respect to the facial bones that encircle the eye (the “circumorbital” series) [
4]. In contrast, cave-dwelling populations harbor substantial asymmetry across the left-right axis for this bony complex at both the individual and population levels [
4,
7].
We discovered that three different cavefish populations were less symmetric compared to the surface-dwelling fish population. Interestingly, the degree of asymmetry does not appear to significantly differ between cavefish populations, despite the fact that each cave entrance is geographically distant from one another [
9,
10]. Moreover, we discovered that within cavefish populations, the degree of bilateral neuromast asymmetry correlates to the degree of left-right bony asymmetry across individuals. These results conform to our expectations, and imply that asymmetry at the level of cranial bones reflects asymmetry in the pattern of cranial neuromasts. At present, the polarity of this association remains unknown. In principle, altered bony morphology may disrupt neuromast positioning. Alternatively, aberrant neuromast positioning may interfere with normal patterning and ossification of the facial bones. Future developmental studies evaluating the ontogeny of both processes simultaneously will provide further insight to the nature of this relationship.
This work provides the first quantitative metric for measurement and comparison of cranial neuromast position and patterning asymmetry. This tool will enable further genetic and developmental studies to gain insight to the underpinnings of asymmetry in natural cavefish populations. This work, in turn, will shed light on the broader forces leading to cranial asymmetry in vertebrates, a poorly understood phenomenon. In the context of cavefish evolution, this work will also allow us to understand if asymmetry evolves through neutral forces (e.g., genetic drift) or if strong selection for one trait (increased lateral line sensitivity) indirectly impacts a seemingly unrelated morphological trait (bone morphology).
2. Materials and Methods
2.1. Animal Rearing
All fish were maintained under identical rearing conditions in a satellite fish husbandry room at the University of Cincinnati. Fish were housed under a 12 h light:12 h dark lighting schedule and fed dry flake food (TetraMin Pro) once daily. All individuals used in this study were maintained in a husbandry unit (Aquaneering, San Diego, CA, USA) receiving reverse-osmosis water treated to achieve a pH of 7.4 (±0.2) and conductivity of 800 μS (±50 μS). Each fish tank received separate water delivery and drainage; and a recirculating pump provided filtration through coarse and fine mechanical filters, a biofilter, a micron filter, and a UV filter. Individuals were either housed in groups (five or 10 gallon glass tanks) or individually in 1 L BPA-free plastic tanks.
2.2. Live Staining and Imaging
Thirty adult individuals were selected from our stock of surface fish, as well as 30 adult individuals from three different cave localities (Pachón, Tinaja, and Chica). Each individual was stained with Calcein (Sigma Aldrich; St. Louis, MO, USA) and 2-[4-(Dimethylamino)styryl]-1-ethylpyridinium iodide (DASPEI; Sigma Aldrich) in order to visualize bone and neuromasts, respectively. The left and right side of each fish was imaged simultaneously to visualize fluorescent bone and neuromast co-labels. A montage was created for each image by stacking a series of Z-plane images at multiple focal points. This resulted in all neuromast organs and bone margins to remain focused, despite slight variation in the Z-plane. All micrographs were collected using a Leica M205FA stereomicroscope (Wetzlar, Germany) equipped with a DFC310FX color camera. Montage images were collected utilizing the MultiFocus module within the Leica Application Suite (LAS) software package (version 3.8, Leica Microsystems, Buffalo Grove, IL, USA, 2015).
2.3. Digital Analysis of Neuromast Position and Overlap
The SO3 bone (and any present SO3 fragmentation) and the “Crescent Region” (area demarcated by large canal neuromasts present beneath the eye of the fish and extending across the entire face) were outlined on each individual using the “freehand” tracing tool in Microsoft Powerpoint (v14.3.5, Microsoft, Redmond, WA, USA, 2011). The area of each Crescent and SO3 region (including individual fragmentations of SO3 bones) was obtained in pixels using the basic “measure” function on the image analysis software ImageJ (v2.0.0-rc-43/1.50e, ImageJ/NIH, Bethesda, Maryland, USA, 2015), and converted to millimeters squared (mm2). Neuromasts were then quantified using the “Point” tool in ImageJ in order to count the number of neuromasts present within the Crescent and SO3 areas of each respective locality.
Each montage image was processed in Adobe Photoshop (CS3, Adobe Systems Incorporated, San Jose, CA, USA, 2015) and each neuromast was marked in a new layer by placing a small circular dot directly over the neuromast center using the ‘pencil’ tool. Once each side of an individual was marked, the right side was reflected (i.e., “flipped”) 180° across the horizontal axis. Using neuromast canals as place markers for orientation, a “best fit” was aligned for each right-left overlap. This was performed in technical triplicate to minimize investigator error. Once the “best fit” was decided, the background montage image for both the lateral sides was removed, leaving only the overlapping dots for the left and right side of the individual on a blank background. All digital files were loaded into ImageJ’s JACoP Colocalization Plugin and scored for overlap. Each analysis yielded an R-value dependent upon how closely each image matched with the other. Three trials were averaged to generate a mean correlative score for each individual. R-values were recorded for each locality to be compared for neuromast symmetry.
2.4. Statistical Analyses
To assess for group differences in symmetry, we conducted a one-way analysis of variance (ANOVA) using locality (e.g., surface fish, Pachón cavefish) as a grouping variable and the mean symmetry score (R-values) as the dependent variable. Our omnibus F-test was significant, indicating significant differences in symmetry measure between groups (F(3,116) = 23.99, P << 0.001). Post hoc comparisons using Student’s t-tests revealed a pattern of results wherein symmetry scores did not differ across all three cavefish populations, and all cavefish populations differed significantly from surface fish. All statistical analyses were performed using Microsoft Excel for Mac (v14.3.5, Microsoft, Redmond, WA, USA, 2011) and StatPlus:mac LE (Build 6.1.7.0/Core v6.1.60) (v5.9.80, Analystsoft, Walnut, CA, USA, 2015).
2.5. Ethical Approval Statement
This study was performed in accordance with the Guide for the Care and Use of Laboratory Animals of the U.S. National Institutes of Health. The Institutional Animal Care and Use Committee (IACUC) of the University of Cincinnati approved the Animal Use Protocol utilized for these studies (protocol number: 10-01-21-01; date of approval: 1 April 2016).
4. Discussion
The distribution of cranial neuromasts on the head of fish and amphibians presents itself as a highly complex phenotype, likely subject to a variety of genetic and environmental influences [
13,
14]. Given this complexity, we sought to develop a tool that would enable us to compare the distributions of neuromasts on one side of the head against the other. We reasoned that neuromast positions are associated with the morphology of surrounding bony features. This association was established in
Danio rerio, wherein the use of an
Edn1-morpholino resulted in an altered morphology of the opercle bone and the neuromasts distributed on this bony element [
8,
15].
In this report, we present a technique for quantifying the degree of symmetry between left and right-sided cranial neuromasts in natural populations of cavefish. Based on prior work establishing the bone-neuromast relationship, we specifically tested if cranial bone asymmetry is associated with asymmetry in neuromast positioning. By combining live-stain imaging and high-resolution microscopy with digital analyses of form, we obtained a metric of “overlap” between neuromasts present on the left and right sides of the facial skeleton. Somewhat unexpectedly, we found that surface-dwelling fish demonstrate a low mean correlation between right- and left-sided neuromast positioning. From this result, we conclude that animals demonstrating generally symmetric cranial bone features still demonstrate some degree of “uncoupling” of neuromast organ positions between the left and right sides of the head. In principle, the mismatch could stem from subtle patterning, developmental, or environmental differences between the neuromasts populating the left and right sides of the head.
Our results demonstrated, however, that despite these left-right axial differences in surface fish, measures of symmetry were significantly lower for cave-dwelling fish. This study focused on three populations drawn from the “El Abra” complex of caves (
Figure 1), which were colonized at different times in the geologic past [
9]. Subsequent statistical analyses demonstrated that all cavefish populations uniformly differed from surface fish (
Figure 7). However, no differences in average symmetry scores were observed between cave populations. Thus, SO3 bone fragmentation has evolved in these three cavefish populations alongside alterations of neuromast positioning.
It has long been appreciated that
Astyanax cavefish harbor a far greater number of neuromasts compared to surface-dwelling fish [
6]. Recent behavioral studies suggest that amplification of the lateral line sense confers sensitivity to water vibrations that facilitate foraging in the darkness of the cave [
5,
6]. In the dark and nutrient-poor microenvironment of the cave, this feature would presumably arise under very strong selection. The question of whether (and how) SO3 bone fragmentation is adaptive for
Astyanax cavefish, however, remains unknown. Although this phenotype was observed in the holotype specimens used for species delimitation in 1936, it was mistakenly attributed to injury [
1]. SO3 fragmentation was later discovered in several cave populations across the Sierra de El Abra, and by 1977, was believed to arise strictly as an indirect consequence of orbital collapse [
16]. However, recent embryological and genetic analyses demonstrate that this trait harbors a genetic and developmental basis independent of visual system demise [
17].
Thus, SO3 bone fragmentation is a novel and extreme phenotype present across several different
Astyanax cavefish populations. The anatomical region overlying the SO3 bone is also a “hotspot” for numerical expansion of neuromasts in cave populations [
5]. The neuromasts in this region of the facial skeleton are behaviorally linked to vibration attraction behavior (likely a strongly selected trait in cavefish) [
5]. In this context, it is intriguing to consider that the two phenotypes may be developmentally and/or evolutionarily linked. The current, and previous, studies provide some support for the notion that bone fragmentation may evolve as a secondary consequence of selection for neuromast numerical expansion. However, not all cave populations demonstrate robust neuromast-mediated behaviors, and therefore future studies should focus on determining if bone fragmentation can evolve in the absence of neuromast expansion. If so, this may suggest a cryptic selective advantage to facial bone fragmentation evolving in the darkness of the cave environment. Irrespective, at present it is clear that the association between neuromast patterning and bone morphology persists in
Astyanax cavefish. This system will continue to provide powerful insight to both the developmental and genetic bases of craniofacial asymmetry, and further illuminate how organisms adapt to extreme environments.