Journal of Zoology. Print ISSN 0952-8369
Size and shape in the evolution of the worker head in
Pheidole ants (Hymenoptera: Formicidae)
A. Casadei-Ferreira1,2
, R. M. Feitosa1
& M. R. Pie1,3
1
^ncias Biolo
gicas, Centro Polite
cnico, Universidade Federal do Paran
Departamento de Zoologia, Setor de Cie
a, Curitiba, Paran
a, Brazil
Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan
3
Biology Department, Edge Hill University, Ormskirk, Lancashire, UK
2
Keywords
allometry; dimorphism; Formicidae; geometric
morphometrics; morphological variation;
Myrmicinae; Pheidole; social insects.
Correspondence
Alexandre Casadei-Ferreira, Departamento de
^ncias Biolo
gicas, Centro
Zoologia, Setor de Cie
cnico, Universidade Federal do Parana,
Polite
Avenida Francisco Heraclito dos Santos, Curitiba
81531-980, Paran
a, Brazil.
Email: alexandrefrreira@gmail.com
Editor: Gabriele Uhl
Associate Editor: Shannon Gerry
Received 25 May 2021; revised 20 February
2022; accepted 19 April 2022
doi:10.1111/jzo.12978
Abstract
The division of labor into sterile and reproductive castes in social insects is often
reflected in marked morphological differences, which might have played an important role in the remarkable adaptive success of these organisms. Some ant lineages
have undergone further morphological differentiation, with the evolution of differences within the worker caste. In this study, we characterize morphological diversity in the head of Pheidole ants by comparing differences in size and shape
among species and between minor and major worker subcastes. To this end, we
integrate data from high-resolution images, geometric morphometrics, and phylogenetic comparative methods. Our results indicated differences in morphological variation of each subcaste with respect to their geographical distribution, with distinct
morphological patterns and evolutionary routes related to head shape. Allometry
was shown to be a crucial element for the differentiation within and between each
subcaste, corroborating the role of size in their morphological evolution. Additionally, we observed that closely related species often diverge considerably in morphospace, whereas convergence in their morphospace occupation characterizes
some West and East Hemisphere species. Finally, although multiple shifts in the
rate of morphological evolution occurred during the Miocene, the timing and position of these shifts were independent of size and shape, suggesting that their evolution has been decoupled throughout Pheidole evolution.
Introduction
Colonies of social insects are often considered superorganisms
due to the existence of a self-organized workforce characterized
by efficient and cohesive communication systems (H€olldobler &
Wilson, 2009). Ant workers are frequently specialized in a subset of tasks necessary to maintain the colony (Wheeler, 1911). In
some ant lineages, task specialization can be partially achieved
through anatomical modifications, also known as caste polymorphism (Molet et al., 2012; Trible & Kronauer, 2017) or physical
castes (Oster & Wilson, 1978), in which these modifications
were attained through the worker’s potential to produce a wide
variety of new subcastes. These novel morphologies can emerge
from different mechanisms, with individuals occupying new
positions in phenotypic space through distinct developmental
routes (Trible & Kronauer, 2017).
Among ants, the hyperdiverse and cosmopolitan genus Pheidole is well-known for its conspicuously dimorphic workers
(Molet et al., 2012; Oster & Wilson, 1978; Traniello, 2010),
which include more slender forms referred to as minors and
robust conditions known as majors (also known as soldiers;
Oster & Wilson, 1978; Traniello, 2010; Wilson, 2003). The
Journal of Zoology (2022) – ª 2022 The Zoological Society of London.
presence of majors has been considered the key to the remarkable success of Pheidole (Traniello, 2010; Wilson, 2003).
Majors defend the colony, occupying the nest galleries and
chambers, are recruited by minors to carry out functions outside the nest (e.g., transporting food), and are responsible for
food processing (Moreau, 2008; Wilson, 2003). This set of
morphological and behavioral adaptations is strongly variable
and is considered crucial in enhancing colony survival due to
worker specialization in specific tasks (Oster & Wilson, 1978;
Traniello, 2010; Wilson, 2003).
Even with the substantial morphological differences among
Pheidole species, most of these differences can be attributed to
allometry coupled with a low degree of morphological integration within its subcastes (Friedman et al., 2019, 2020; Pie &
Traniello, 2007). Holley et al. (2016) also demonstrated a considerable difference in head size between granivorous and nongranivorous Pheidole species. However, little has been
explored concerning these morphological variations in a phylogenetic context (e.g., Friedman et al., 2019, 2020; Pie & Traniello, 2007; Pie & Tscha, 2013).
This study aims to describe the variation in head shape in
the worker caste of Pheidole, focusing on exploring patterns
1
Evolution of Pheidole head size and shape
related to its geographical distribution and evolutionary processes that may have led to their current morphological diversity. Insects have an extraordinary variety of exaggerated
morphologies (Emlen & Nijhout, 2000) that can be sexually
(e.g., enlarged horns in beetles; Arrow, 1951) and non-sexually
(e.g., soldiers in eusocial insects; Oster & Wilson, 1978)
selected, making them an ideal group to explore the variation
in shape and evolutionary trends of such traits. Therefore,
describing how different subcastes of eusocial organisms are
distributed across morphological space, quantifying the sizedependent and size-independent variation in their morphology, and exploring the evolution of their traits can illuminate
our understanding of how exaggerated structures evolve in
dimorphic groups, especially in hyperdiverse lineages such as
Pheidole.
Our goals were (1) to describe the morphospace occupied
by majors and minors; (2) to assess the geographic patterns of
morphological evolution for each subcaste; and (3) to estimate
the rate shifts of shape evolution and the morphospace occupation of majors and minors in their evolutionary history and distribution.
We test three predictions. First, we expect that different
subcastes and species would occupy distinct regions of morphospace, even if the size effect is removed. Oster and Wilson (1978) have proposed that the caste distribution in a
given lineage evolves to match the resource distribution,
which would mean that novel caste morphotypes are expected
to represent the evolution of novel functional interactions with
a resource base. In this scenario, ant lineages that present
such morphological adaptation in their castes are thought to
show increased ergonomic optimization for the colony, such
that caste evolution provides functionally improved performance in colonial tasks by morphological specialization (Mertl
& Traniello, 2009; Oster & Wilson, 1978; Powell, 2016).
Interspecific differences in the morphology of workers’ subcastes can be substantial since the adaptive radiation in lineages with such division are often successful in terms of
numbers of species and environmental dominance and occupancy (Moreau, 2008; Pie & Traniello, 2007; Powell, 2016;
Powell et al., 2020). We expect major workers to display distinct and size-independent shape patterns from minors due to
their specialization in particular functional roles (Friedman
et al., 2020; Oster & Wilson, 1978; Powell, 2016; Trible &
Kronauer, 2017).
Second, we predict that closely related lineages experience
morphological divergence, whereas convergence is expected
for distant lineages. The colonization of novel environments
might result in adaptive divergence (Friedman et al., 2020; Liu
et al., 2020; Parsons & Robinson, 2006; Powell, 2016, Powell
et al., 2020), reflecting in selecting a new optimal phenotype
state that positively affects colony ergonomic efficiency. Thus,
this process will create consistent patterns of phenotypic similarity repeatedly and independently from each colonization in
similar habitats. Powell et al. (2020) have demonstrated this
pattern in the ant genus Cephalotes, in which the four soldiers
morphotypes (based on the head shape) repeatedly evolved,
with consistent gains and losses, through its evolution.
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A. Casadei-Ferreira et al.
Finally, we expect an acceleration in the rate of major and
minor head shape diversification coinciding with Pheidole
adaptive radiation and, consequently, niche filling dynamics,
while decelerations and periods of morphological constraint
will tend to be less frequent (see Harmon et al., 2010). Economo et al. (2019) demonstrated that Pheidole probably experienced three main shifts in its diversification, with an initial
shift approximately 15–16 Ma in the New World; a second
with the colonization of the Old World (~13 Ma); and a third
in the colonization of the Australia-New Guinea (~9 Ma).
Additionally, these authors showed evidence that ecological
opportunity somewhat controls the diversification rate in Pheidole, in the process of radiation through an initial acceleration
with new colonization, followed by a deceleration attributed to
the niche filling.
A high frequency of positive shifts in morphological diversification, compared to negative shifts, has already been
observed in Pheidole using linear head measurements (see Holley et al., 2016). Contrary to this pattern, Pie and Tscha
(2013), employing similar approaches as Holley et al., demonstrated that large-scale shifts in several ant lineages are associated with decreases in evolution rates. Pie and Tscha also
showed that most negative shifts are associated with size
(PC1; Fig. 3, pg. 9) in Pheidole majors, while in minors, these
negative shifts are related to shape (PC2; Fig. 4, pg. 10). We
hypothesize that with the availability of novel niches in colonization events, through an accelerated filling of these niches,
Pheidole experienced accelerations in its head shape diversification that coincide with shifts evidenced by Economo et al.
(2019) with few decelerations during this process.
Methods
Data acquisition
We compiled a database of Pheidole major and minor worker
images (one specimen per subcaste) from AntWeb.org
(Antweb, 2019; available at http://antweb.org, last accessed in
2019) based on the species included in the phylogeny by
Economo et al. (2015). Both West Hemisphere (WH) and East
Hemisphere (EH) species were included to maximize the geographical and phylogenetic breadth of the study, using the
Atlantic Ocean as a criterion for this separation. We assumed
that intraspecific variation is relatively small compared to interspecific variation in the genus. We tried to select specimen
photos whose position in the entomological pin/triangle
allowed for reliable landmark acquisition. All used images
included their corresponding scales (from 0.2 to 1.0 mm). In
total, our database included 168 major worker images (79 WE
and 89 EH; N = 168 specimens) and 178 minor worker images
(65 WE and 113 EH; N = 178 specimens; Table S1), which
represents, respectively, ~16 and ~17% of the currently recognized Pheidole species (Bolton, 2021). These species also represent ~58 and ~62% of the 285 taxa included in the reference
phylogeny, respectively. The combined database, consisting of
those species for which we had images of both subcastes,
encompasses 112 species (61 WE and 61 EH), accounting for
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A. Casadei-Ferreira et al.
~11% of the genus species richness and ~39% of the phylogeny tips.
Geometric morphometrics
Head shape was measured by digitizing two landmarks and 20
semilandmarks using the tpsDig v. 2.31 (Rohlf, 2021). We chose
to use this selection of anatomical semi- and landmarks due to
our focus on describing changes related to the head shape pattern while not including variation in other cephalic structures
that could potentially be used as landmarks (i.e., antennal insertion, eye position, frontal triangle, etc.). The landmarks corresponded to the confluence of the posterior and lateral margins of
the clypeus (L1) and the central point of the vertexal margin,
delimited by a longitudinal line that divides the head capsule
into two equal parts (L2; Fig. 1). Semilandmarks started at L1
and were sequentially sampled by length up to L2 (Fig. 1). We
measured only half of the head due to bilateral symmetry. Landmarks and semilandmarks were digitized twice in all majors and
minors for a total of 692 processed images to improve precision.
Species in which minors had a posteriorly projected nuchal collar prevented us from directly visualizing L2. In these cases, we
chose to omit this head region given that it did not correspond
to the vertexal margin, and the L2 was placed anterior to the
neck constriction.
All geometric morphometric analyses were performed in R
4.0.2 (R Core Team, 2020) using the GEOMORPH package v.
3.3.1 (Adams et al., 2020). Landmark and semilandmark coordinates were aligned using generalized Procrustes analysis
(GPA), in which the specimens were translated to a common
location, scaled to unit centroid size, and optimally rotated
using the least-squares criterion (Rohlf & Slice, 1990). GPA
was performed with two different approaches: (1) grouping
major and minor workers to visualize the distribution of both
subcastes in the morphospace and (2) separating major and
minor workers as two distinct datasets to describe the morphospace occupied by each subcastes considering differences
among species.
Evolution of Pheidole head size and shape
To assess errors during data acquisition, we performed a
regression for Procrustes shape variables (Adams & Collyer,
2018; Goodall, 1991) with a residual randomization permutation procedure (Collyer et al., 2015; Collyer & Adams, 2018,
2020; see also Anderson & ter Braak, 2003 for further details)
for the repeated measures between the original data set and a
replicate to test whether the variation was significant among
species (expected result) or within species (which would indicate errors in the acquisition of semi- and landmarks). This
process was performed in two steps, first for the major workers’ dataset and then for the minor workers’ dataset.
To test the influence of allometry (within and between
majors and minors), we used regression for Procrustes shape
variables of independent contrasts of shape (Procrustes coordinates) on independent contrasts of size (centroid size), and statistical significance was assessed using residual randomization
permutation procedure. We used the residual scores to remove
the allometric effects to verify the main patterns of morphological variation between majors and minors. All subsequent analyses were performed without correcting for allometry.
Differences considering majors’ and minors’ shape and distribution were tested using a regression for Procrustes shape variables with residual randomization permutation procedure.
Principal component analyses (PCAs) were performed to
visualize and describe the distribution of subcastes and species
shapes along different axes in tangent space. Thin-plate spline
deformation grids (Bookstein, 1991) were employed to
describe the shape differences visually. We chose not to perform a canonical variate analysis since the PCA was sufficient
to indicate patterns of difference between-group variance compared to within-group variance so that there would be no need
to apply procedures to maximize those differences.
Phylogenetic analysis
Although the complete tree by Economo et al. (2015) had 267
Pheidole species, they only estimated divergence times for a subset of 65 species because of computational constraints. Given that
Figure 1 Position of landmarks (red dots) and semilandmarks (open dots) on the head of (a) major and (b) minor workers of Pheidole.
Journal of Zoology (2022) – ª 2022 The Zoological Society of London.
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Evolution of Pheidole head size and shape
some of our analyses required a timetree, we sought to maximize
the phylogenetic breadth of our analyses by fixing the 267-species
topology obtained by Economo et al. (2015). The corresponding
divergence times were only estimated using the RelTime method
(Tamura et al., 2012) as implemented in MEGA7 (Kumar et al.,
2016). We used a GTR+Γ5 model of evolution and eliminated all
positions with less than 95% site coverage.
Phenograms were generated to assess head shape evolution,
considering its geographic patterns (West Hemisphere and East
Hemisphere), in a phylogenetic context, first plotting the main
PCs scores on the phylogenetic tree, independently for each
PC and centroid size. The phenogram was generated in PHYTOOLS package v0.6-44 (Revell, 2012).
We also performed disparity-through-time plots (DTTs), as
implemented in GEIGER v. 2.0.6 (Harmon et al., 2008), to explore
the occupation of morphospace during Pheidole diversification
(Harmon et al., 2003). This analysis compares the observed
route of morphological diversification within majors and minors
to what is usually expected from a Brownian motion (BM)
model in multivariate space (Harmon et al., 2003, 2008).
Through DTT, we can verify how a given clade, during its
diversification, partitioned the occupied morphological space
(Harmon et al., 2003). The difference between the observed and
expected trajectories under the null BM model is quantified by
the morphological disparity index (MDI), which is the sum of
the deviations resulting from the trajectory observed in the DTT
and its relation to those generated by the null model (Harmon
et al., 2003). The index is then compared with the distribution
of values obtained through the BM model simulations. Subsequently, it is tested to obtain significant deviations from the null
model (Slater et al., 2010). Two possible results are obtained,
one in which MDI > 0, indicating that the morphological variation within-clade is generally greater than expected in the null
model, or MDI < 0, which implies that morphological variation
is more dominant among-clades than expected in the null model,
thus suggesting possible adaptive radiation (Murrell, 2018).
Rate shifts in morphological trait evolution among lineages
were assessed using the "models of trait macroevolution on
trees" approach (MOTMOT) implemented in MOTMOT package v. 1.1.2 (Thomas & Freckleton, 2012). This method is
based on independent phylogenetic contrasts and allows for
assessing patterns in the tempo of continuous trait evolution,
showing the number and positions of rate changes in the phylogeny (Thomas & Freckleton, 2012). We used the first two
PCs scores (see Duran & Pie, 2015; Hedrick et al., 2020; Pie
et al., 2017; Sansalone et al., 2018) and the Csize (i.e., the
centroid size as a proxy to describe variation in body size) to
test shifts in morphological evolution. We performed these tests
using the transformPhylo.ML function for PC1, PC2, and Csize
individually, employing the trait medusa algorithm 1 (tm1),
which does not specify the location of any shifts a priori (see
Thomas & Freckleton, 2012 for further details). The maximum
number of rate shifts was set to five.
Results
Measurement error during landmark acquisition was minimal,
given that variation among individuals was substantially
4
A. Casadei-Ferreira et al.
higher than among replicates for majors (SS = 0.393,
P = 0.652) and minors (SS = 0.629, P = 0.279). On the other
hand, we found a significant effect of size on shape between
majors and minors, and within majors and minors (Table S2).
After accounting for allometry, all PCAs successfully summarized shape variation in the studied datasets, with the first
two PCs explaining more than 70% of the observed variation
(Fig. 2a–d).
For majors, the first two PCs explained 50.11% and 27.13%
of the variance in the dataset, respectively (Fig. 2c). Positive
PC1 scores indicate longer heads, with the lateral margin
diverging toward the vertex, angled vertexal lobes, and deeper
vertexal depressions. In contrast, negative scores correspond to
shorter heads, convex lateral margins, and shallow vertexal
depressions (Fig. 2c). PC2 positive scores are related to
rounded lateral margins and shallow vertexal depressions,
whereas negative scores indicate a relatively flat margin and
deep vertexal depression (Fig. 2c). Interestingly, WH Pheidole
majors seem more diverse in their shape on PC1 than EH
Pheidole (Fig. 2c), while an opposite trend was observed for
PC2 (Fig. 2c). These patterns of shape differences between
WH and EH species were corroborated in the Procrustes analysis of variance (ANOVA), which demonstrated significant differences between WH and EH majors (Table S3).
The first two PCs accounted for 78.86% and 10.90% of the
observed variance for minors, respectively (Fig. 2d). Positive
scores of PC1 are related to shorter heads, with the lateral margin diverging toward the vertex. In contrast, negative scores
described longer heads with smoothly rounded sides, which
was more common in species with a nuchal collar (Fig. 2d).
Positive PC2 scores were associated with more rounded heads,
whereas negative scores are related to divergent and flatter
sides of the head, both common to shorter heads (Fig. 2d).
There were also shape differences between EH and WH Pheidole minors, with the former showing more positive PC2
scores on average.
The PCA simultaneously including majors and minors
allowed assessing interspecific variation within and among subcastes, showing strong allometry. When the allometric impact
was accounted for, there was a clear separation between workers’ subcastes on PC1 (80.13%), wherein majors and minors
tended to have positive or negative scores, respectively
(Fig. 2a). A PCA without accounting for allometry was markedly different (Fig. 2b), with a large superposition of majors and
minors in the morphospace. Negative and positive scores had a
similar morphological interpretation, as before, for PC1 and
PC2, which accounted for 71.89% and 14.78% of the variance,
respectively. A Procrustes ANOVA showed significant differences between their shapes despite the overlap among majors
and minors without accounting for allometry (Table S2).
In a phylogenetic context, size and shape variation in PC1
and PC2 for worker subcastes revealed morphological divergence for closely related species (Fig. 3). The phenogram
(Fig. 3) showed phylogenetic trends, suggesting an evolutionary
convergence of head shape in most lineages, in both subcastes,
and between the WH and EH specimens. The same patterns are
demonstrated when analyzing the centroid size (Fig. 3). For
minors, PC2 and Csize show a more distinct division into two
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A. Casadei-Ferreira et al.
Evolution of Pheidole head size and shape
Figure 2 Morphospace of majors and minor workers combined with allometry (a) and without its effect (b); as well as majors (c) and minors (d)
isolated. The PC1 and PC2 axes include the thin-plate spline, which illustrates the contour of the left side of the Pheidole worker heads generated by the grid lines distortion towards the maximum negative and positive value in the respective PC axes.
morphological groups, with little overlap between them (Fig. 3),
while majors do not present this same pattern.
Once the relative position of each species and subcastes are
understood within their morphospace, we explored how their
rate of morphological evolution varied among lineages and
over time. A consistent pattern was uncovered when variation
in rates through time was assessed based on DTT plots. Our
results indicated higher levels of disparity than expected by
chance (MDI > 0) in Csize, PC1, and PC2 for the majors and
PC2 for the minors (Fig. 4). In general, majors presented faster
rates of morphological evolution near the present, especially on
PC1. Nevertheless, these results suggest heterogeneity through
time in rates of morphological changes evolution with more
disparity near the present (Fig. 4). Minors showed higher differences in PC2 when compared with majors.
MOTMOT analyses detected frequent variations in rates of
morphological changes evolution, both over time and among
lineages (Fig. 5). For Csize, PC1, and PC2, MOTMOT identified nine rate shifts related to majors and seven to minors
Journal of Zoology (2022) – ª 2022 The Zoological Society of London.
(Fig. 5). Most of these shifts are associated with six acceleration events in majors and minors. All the identified decelerations in rates of morphological changes were observed in
clades with more than three species, whereas the accelerations
were more frequent in recent individual branches. For majors,
shifts were more frequently associated with the WH (six accelerations and three decelerations; Fig. 5). For minors, these
shifts were more frequent in the EH (four accelerations;
Fig. 5), with a single related positive shift in Pheidole californica Mayr (Fig. 5, shifts 4 and 12). These results suggested an
unusual and unequal condition for the evolution of morphological changes in these regions. Additionally, shift 6 in PC2 of
majors and shift 15 in PC2 of minors are associated with Australasia and New Guinea species and a few Malagasy species.
These shifts in Australasia and New Guinea clades correlate
with high net diversification rates (see Economo et al., 2019
for further explorations of these points).
The age of rate shifts varied considerably yet showed some
temporal congruence among the estimated ages for majors and
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Evolution of Pheidole head size and shape
A. Casadei-Ferreira et al.
Figure 3 Phenogram of majors and minor workers of scores from the first two principal component axes and Csize (i.e., proxy of the head size).
The relative time (x-axis) represents the approximate age of Pheidole clades to the present. Shape variation corresponds to the PCs scores and
Csize (y-axis) and indicates divergences among linages evenly distributed through time (x-axis). Divergences are evident in branches that deviate
from most branches sharing the same node in the phylogeny.
minors (Fig. 6). The highest concentration of shifts is related
to the Miocene, with five clade shifts (1, 2, 11, 14, and 15)
and two single shifts (4, 12) for Csize in majors and minors as
well in PC2 of minors (Fig. 6). Only three shifts were
6
unrelated to the Miocene (PC1 in majors and minors, and PC2
in majors; Fig. 6). The most recent events were related to the
Holocene in PC1 for each subcaste (shifts 5 and 13) and in
PC2 for majors (shift 9; Fig. 6).
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A. Casadei-Ferreira et al.
Evolution of Pheidole head size and shape
Figure 4 Relative disparity-through-time (DTT) plots of PCs scores and Csize (i.e., a proxy of the head size) in which the dashed line represents
the expected under a null model of Brownian motion, the gray area corresponds to its 95% confidence interval, and the solid line indicated the
observed disparity in the data.
Discussion
The evolutionary origin of exaggerated morphological structures provides a window into the versatility and limits of
developmental programs (Emlen, 2001; Emlen & Nijhout,
2000; Shingleton & Frankino, 2013). Examples of exaggerated
structures are found in many animal lineages (e.g., Gould,
1974) but seem to be particularly common in insects, such as
stalk-eyed flies (Vasconcelos et al., 2019), lucanid beetles
(Romiti et al., 2015), and several ant lineages (e.g., Blanchard
Journal of Zoology (2022) – ª 2022 The Zoological Society of London.
et al., 2020; Boudinot et al., 2021; Sarnat et al., 2017).
Although exaggerated traits are most likely to be associated
with males and be under sexual selection (e.g., weapons used
for fights and/or display; see Emlen, 2008 for further discussion), several cases of such morphologies are present in
females (e.g., Matsuura, 2006), as well as not being sexually
selected (e.g., Bro-Jørgensen, 2007). Termites (Miura & Maekawa, 2020), ants (Oster & Wilson, 1978), social aphids (Stern
& Foster, 1997), and thrips (Crespi et al., 1997) are some of
the lineages in which individuals within the colony may
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Evolution of Pheidole head size and shape
A. Casadei-Ferreira et al.
Figure 5 Shifts in rates of head evolution along with the first two PCs and the Csize (i.e., a proxy of the head size) based on MOTMOT method
(model = tm1). Numbers (1–16) indicate accelerations and decelerations in rates of morphological evolution demonstrated as changes in the
branch lengths (x-axis) which are scaled according to the relative rates of evolution.
8
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A. Casadei-Ferreira et al.
Evolution of Pheidole head size and shape
Figure 6 The geological periods (including the name of the geological era and its estimated duration period) for phylogenetic shifts are estimated
by MOTMOT, and numbers (1–16) represent the same shifts shown in Fig. 5. The green dots indicate accelerations, and the red indicates
decelerations. The open dots indicate the single species acceleration/deceleration, and the closes refer to clades acceleration/deceleration. The
number corresponds to the MOTMOT phylogeny indicates. Csize was used as a proxy for head size.
possess exaggerated morphological structures that were not driven by sexual selection. Instead, exaggerated morphologies in
these groups are primarily associated with defense (e.g. mandibles, legs, and the presence of horn-like structures). However,
the extent to which such non-sexually selected traits vary and
evolve in social groups with conspicuous dimorphism remains
poorly understood.
Here, we explored how head shape evolves in the context of
a dimorphic worker caste, describing its main patterns, both
over time and among lineages. We demonstrate distinct morphological patterns and evolutionary routes related to head
shape in minor and major workers of Pheidole, with significant
morphological changes for each subcaste for their geographical
distribution (West and East Hemisphere). Also, our results
showed that closely related species might diverge considerably
in morphospace (Fig. 3). Moreover, West and East Hemisphere
species converge in their occupation of phylomorphospace,
presenting considerable overlap, with a few species exploring
more peripheral regions (Fig. 3). We found disproportionately
higher levels of disparity near the present, suggesting rate
heterogeneity through time. Our results also indicated that most
Journal of Zoology (2022) – ª 2022 The Zoological Society of London.
morphological shifts occurred during the Miocene, with size
shifts often preceding shape-related ones. However, clades with
shifts in size are not congruent with those exhibiting shifts in
the shape, suggesting that size and shape rate shifts are primarily uncoupled.
The allometric effect, which refers to the size-related
changes in morphological traits, is crucial in caste differentiation (Trible & Kronauer, 2017; Wills et al., 2018). In this
sense, allometry can play an important role in (1) differentiating distinct subcastes of workers during their development
(i.e., ontogenetic allometry); (2) in morphological variations
among individuals of the same colony, or between different
colonies of the same species (i.e., static allometry); and (3) in
morphological covariations within distinct lineages that share a
common ancestor (i.e., evolutionary allometry; Klingenberg &
Zimmermann, 1992). Our results indicate that evolutionary
allometry is essential in evolving worker caste morphology,
recognizing two morphologically distinct groups (Fig. 2a), representing majors and minors.
Additionally, contrary to what we predicted of non-size differences in the shape patterns of majors and minor workers,
9
Evolution of Pheidole head size and shape
our results showed that if the allometric effect is removed
(Fig. 2b), there is considerable overlap between its occupied
morphospace. Despite significant statistical differences between
the two groups (Table S2), we note that the shapes attained by
majors are also partially explored by minors. A similar result
was obtained by Pie and Traniello (2007) using linear morphometrics. The authors argued that most of the variation in morphological divergence among Pheidole species could be
attributed to allometric changes. The strong effect of size on
Pheidole subcastes differentiation evidenced with linear and
geometric morphometrics approaches is consistent with several
publications which demonstrated that majors are determined
late in larval development in a major–minor threshold (i.e.,
ontogenetic allometry), controlled by nutrition (more significant
growth than minors; Rajakumar et al., 2012; Wheeler, 1911;
Wheeler & Nijhout, 1983, 1984).
Few studies explore the evolution of size in Pheidole (e.g.,
Economo et al., 2015; Pie & Traniello, 2007; Pie & Tscha,
2013), even considering that this morphological attribute has
been indicated as an essential factor in its evolution. Economo
et al. (2015) explored the macroevolution and macroecology of
Pheidole and showed that body size distribution has likewise
converged across geographical regions. Economo et al. proposed that this morphological convergence is consistent with
the global radiation of Pheidole structured by deterministic factors regulating diversification and diversity, with convergence
occurring across independent radiations in each (East-West)
hemisphere. Friedman et al. (2020) also found a morphological
overlap of head and mesosoma size and shape considering
Pheidole geographical radiations. Our results corroborate this
pattern, showing an overlap in size over the East and West
hemisphere fauna (Fig. 3).
Pie and Tscha (2013), also using linear morphometrics, found
that the rate of size evolution is mainly constant over time.
Additionally, the authors observed two broad negative shifts in
body size evolution in majors and minors. Holley et al. (2016),
using head measurements, found two positive and negative clade
shifts. Our results indicated three negative clade shifts in the size
of majors, and one positive in minors (Fig. 5). A discussion of
the correspondence between these shifts is problematic considering that they may be affected by the unequal taxonomic breadth
of the terminals between studies.
Considering shape variation, our results, in which PC1 and
PC2 explain together ~80% of and ~90% of the variance for
majors and minors, respectively, showed a similar pattern
found for size. The occupation of the morphospace by majors
and minor workers is consistent with our prediction that closely related lineages often diverged in shape and converged
with distant lineages. Our results corroborate the findings of
Friedman et al. (2020), with portions of the morphospace similarly occupied for geographically distinct Pheidole clades.
Repeated and independent patterns of congruent evolution of
similar morphological forms for different colonization processes are also present in other groups. A classic model of
repeated evolution is the lizard genus Anolis (Mahler et al.,
2013), in which each new colonization repeatedly generates
the same ecomorphs, not closely related but converging for
ecological, behavioral, or stochastic factors.
10
A. Casadei-Ferreira et al.
Nevertheless, the ant genus Cephalotes, a phylogenetically
close lineage to Pheidole, also presents a similar pattern.
Cephalotes is markedly recognized for their soldier morphology with four different ecomorphs, recognized for the head
shape (Powell et al., 2020). Powell et al. (2020), exploring the
evolution of head shape in Cephalotes, showed that each of
these morphotypes evolved repeatedly. Cephalotes has experienced consistent gains and losses of each morphotype through
its evolution, resulting in distant lineages converging for a
common morphospace representing their ecomorphs (Powell
et al., 2020). The selection of new optimal phenotype states
that affect colony ergonomic efficiency in Cephalotes is
strongly related to the head modifications in soldiers for colony
defense. However, Pheidole has not evolved distinct ecomorphs as in Cephalotes. The behavioral and ecological implications of morphological divergences and convergences in
Pheidole may primarily relate to how the muscles fit into the
head and their volume. Thus, the head shape would provide
strength for the mandibles, allowing new adaptations for
defense and mechanical functions in the colony. However,
more experiments need to be done relating form and function
in Pheidole worker subcastes to understand how these morphological variations could affect the colony ergonomics.
We detected four statistically significant rate shifts (Fig. 5)
in the morphological evolution of Pheidole. Additionally, DTT
indicated higher levels of disparity, which suggested that morphological variation within-clade is generally greater than
expected, contrary to what is predicted in a scenario of adaptive radiation (Murrell, 2018). Thus, head shape evolved relatively constant over time, and niche filling dynamics may not
represent a limitation in the morphospace that dimorphic workers could explore as we predicted. This result is consistent
with Pie and Tscha (2013), which showed that negative shifts
are relatively common in ant evolution. Our results partially
support our prediction that acceleration in the rate of shape
diversification is associated with Pheidole adaptive radiation, in
which we found two positive shifts (6 and 15, Fig. 6) related
to the Australasia and New Guinea clades, coinciding with
high net diversification rates (Economo et al., 2019).
Additionally, we found that shifts grouping in the Miocene
are most frequently involved with decelerations (three shifts)
than accelerations (two shifts) and coincides with the period
between ~16 and 10 Myr. From the latter part of the Oligocene (26–27 Myr) to the middle Miocene (~15 Myr), there
was a warming trend, which led to a reduction in the extent of
the Antarctic ice (Miller et al., 1991; Wright et al., 1992). This
phase of the warmest period, except for several brief glaciation
periods (Wright & Miller, 1993), reached its ideal peak in the
late middle Miocene (17–15 Myr) and was followed by a gradual cooling and re-establishment of a large ice-sheet in Antarctica (~10 Myr; Flower & Kennett, 1995; Vincent et al., 1985;
Zachos et al., 2001). Waves of warmer, drier climate during
this period, as well as the aridification over the Miocene and
Pliocene boundary (8–6 Myr), were responsible for the emergence and establishment of the modern aspects and ranges of
the grasslands (Axelrod, 1985; Cerling et al., 1997; Krasilov,
2003). Due to the wide association of granivorous species with
open areas, the expansion of these environments may have
Journal of Zoology (2022) – ª 2022 The Zoological Society of London.
A. Casadei-Ferreira et al.
influenced its morphological diversification to occupy new
explorable niches. Economo et al. (2019) suggested the importance of exploring the possible effects during this Miocene period on ant diversification since these climatic changes could be
relevant to the increase of the evolutionary transitions of those
lineages that occupied the tropics to the temperate zones.
Despite the previous studies on the diversification, integration, and quantification of Pheidole morphological attributes
(e.g., Friedman et al., 2019, 2020; Pie & Traniello, 2007; Pie
& Tscha, 2013; Tscha & Pie, 2019), their implication in the
massive diversity and prevalence of Pheidole over other lineages is far from being resolved. The advances to understand
these diversification processes will be achieved by developing
more powerful quantitative methods that use more diverse and
better-quality data. The following steps would be to combine
more significant representativeness of behavioral and ecological
data and assess biomechanical data to understand the responses
of these morphological patterns to different environmental
demands in worker subcastes.
Acknowledgments
We thank John Lattke, Mauricio Moura, Renan Maestri,
Rogerio Silva, and two anonymous reviewers for the suggestions on the manuscript. ACF and RMF were funded by the
Brazilian Council of Research and Scientific Development
[CNPq grants 140260/2016-1 and 301495/2019-0].
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Supporting Information
Additional Supporting Information may be found in the online
version of this article:
Table S1. Allometry results for major, minors, and combined
dataset. The values in bold are statistically significant.
Table S2. Results of Procrustes analysis of variance considering shape and distribution for majors and minor workers. For
the combined data, distribution and subcastes were considered.
The values in bold are statistically significant.
Table S3. Species and corresponding codes referring to the
images available in AntWeb and their distribution in the Western Hemisphere (WH) or Eastern Hemisphere (EH).
13