Published online on November 14, 2000, 10.1073/pnas.230296997
PNAS | November 21, 2000 | vol. 97 | no. 24 | 13178-13183
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Table of Contents
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Evolution
Molecular phylogenetic analysis of evolutionary trends in
stonefly wing structure and locomotor behavior
Michael A.
Thomas,
Kathleen A.
Walsh,
Melisande R.
Wolf,
Bruce A.
McPheron, and
James H.
Marden*
208 Mueller Laboratory, Department of Biology, Pennsylvania State
University, University Park, PA 16802
Edited by May R. Berenbaum, University of Illinois at
Urbana-Champaign, Urbana, IL, and approved September 15, 2000 (received for review June 27, 2000)
 |
Abstract |
Insects in the order Plecoptera (stoneflies) use a form of
two-dimensional aerodynamic locomotion called surface skimming to move
across water surfaces. Because their weight is supported by water,
skimmers can achieve effective aerodynamic locomotion even with small
wings and weak flight muscles. These mechanical features stimulated the
hypothesis that surface skimming may have been an intermediate stage in
the evolution of insect flight, which has perhaps been retained in
certain modern stoneflies. Here we present a phylogeny of Plecoptera
based on nucleotide sequence data from the small subunit rRNA (18S)
gene. By mapping locomotor behavior and wing structural data onto the
phylogeny, we distinguish between the competing hypotheses that
skimming is a retained ancestral trait or, alternatively, a relatively recent loss of flight. Our results show that basal stoneflies are
surface skimmers, and that various forms of surface skimming are
distributed widely across the plecopteran phylogeny. Stonefly wings
show evolutionary trends in the number of cross veins and the thickness
of the cuticle of the longitudinal veins that are consistent with
elaboration and diversification of flight-related traits. These data
support the hypothesis that the first stoneflies were surface skimmers,
and that wing structures important for aerial flight have become
elaborated and more diverse during the radiation of modern stoneflies.
 |
Introduction |
Insect flight is an example
of a complex trait whose origin is difficult to explain by using a
model that depends on gradual progression through intermediate stages
(1, 2). How can tiny wings, simple wing hinges, and weak muscles
provide a functional advantage over no wings at all? A novel solution
to this riddle was recently provided by the discovery of surface
skimming, a nonflying form of aerodynamic locomotion used by certain
stoneflies (Plecoptera) and mayflies (Ephemeroptera) to move in two
dimensions across water surfaces (3-7). By flapping their wings or by
using them as nonflapping sails while their weight is supported by
water, skimmers can achieve effective aerodynamic locomotion even with small wings and weak flight muscles (3, 4).
Surface skimming is now widely accepted as a plausible mechanical model
for flight evolution (8-11), but there is considerably less support
for the suggestion (3, 4) that skimming in modern stoneflies is a
retained ancestral trait. Many pterygote insects have lost the ability
to fly, including numerous stonefly species that are wingless or
possess greatly reduced wings. There also appears to have been an
evolutionary reduction in the number of cross veins in the wings of
stoneflies in the superfamily Nemouroidea (12), the clade in which
skimming was first described. Cross veins are structural elements that
link the main longitudinal veins; in some locations they stiffen the
wing, whereas in others they contribute to active and passive
deformations of the wing planiform that enhance aerodynamic performance
(13, 14). The stonefly taxa that are traditionally thought to be the
basal group have wings with abundant cross veins, as do other basal
pterygotes (mayflies, dragonflies, and various extinct fossil
lineages), thereby suggesting that particular lineages of more recently
evolved stoneflies have undergone an evolutionary reduction in wing
structural complexity. Surface skimming and reduced wing complexity may
have evolved as correlated traits during an evolutionary reduction in
flight proficiency in certain lineages of modern stoneflies.
To determine the evolutionary history of stonefly skimming and wing
structural complexity, it is necessary to examine how these traits are
distributed across the plecopteran phylogeny. This type of analysis has
already been attempted for surface skimming (15), which resulted in the
conclusion that skimming behavior is most likely a derived, apomorphic
condition, i.e., a relatively recent loss of flight. However, that
analysis had two serious shortcomings. First, the morphological
characters used to construct that phylogeny were not compared with
homologous traits of outgroup taxa to determine their polarity
(ancestral vs. derived; ref. 16). Polarities were assigned based on
resemblance to assumed ancestral conditions. This is problematic, and
the resulting tree has limited utility for assessing evolutionary
history. Second, the analysis assumed that skimming was restricted to
the single species in which the behavior had been originally described
(3), despite the fact that presence or absence of skimming in other stonefly taxa had not been determined. Lacking even a rudimentary knowledge of the taxonomic distribution of the trait in question, the
analysis and conclusions are questionable.
Here we reexamine this question by using a rooted phylogenetic analysis
based on DNA sequence data from stoneflies and a number of outgroup
taxa. Mapping wing structural data and skimming behavior onto this
phylogeny allows us to test hypotheses about the evolutionary direction
of locomotor behavior and wing structural complexity.
 |
Methods |
Phylogenetic Analysis.
The small subunit rRNA (18S) gene was sequenced for 34 stonefly species
representing all families of Plecoptera (GenBank accession nos.
AF311439-AF311472; a complete list of taxa and collection information
can be found in Table 1, which is published as supplemental data on the
PNAS web site, www.pnas.org). An additional stonefly sequence
(Mesoperlina pecirai; Perlodidae) was obtained from GenBank (accession no. U68400). DNA was extracted by using standard phenol/chloroform protocols for alcohol-preserved material (17). Amplification of the 18S gene by the PCR used two oligonucleotide primers, rev18G (5'-AGGGCAAGTCTGGTGCCA) and 18L
(5'-CACCTACGGAAACCTTGTTACGACTT), generating an approximately 1,300-nt fragment.
Sequencing primers included the two PCR primers and two internal
primers 18H (5'-TCAATTCCTTTAAGTTTGAGC) and rev18H
(5'-GCTGAAACTTAAAGGAATTGA), which generated sequence fragments of
approximately 700 nucleotides in length. Cycle-sequencing reactions
were performed by using 3' BigDye-labeled dideoxynucleotide
triphosphates and run on an Applied Biosystems Prism 377 DNA Sequencer.
Raw data were analyzed by using the DNA STAR SEQMAN II
sequence analysis program (DNAstar, Madison, WI).
Outgroup taxa used to root the phylogeny were selected by using a
relative apparent synapomorphy analysis (RASA; ref. 18), which
identifies outgroups that maximize the ratio of informative phylogenetic signal to uninformative noise, thereby increasing the
probability that the correct phylogeny is recovered. Of the outgroup
combinations we tested (a list can be found in Supplemental Table 2 published on the PNAS web site, www.pnas.org), a diverse set of
Hemiptera, Orthoptera, Dermaptera, Phasmatodea, Embioptera, Grylloblattodea, and Blattodea (GenBank accession nos. U06478, U06480,
U09207, U06477, Z97573, Z97574, Z97594, Z97561, Z97575, Z97593, Z97569,
and Z97592) yielded the highest tRASA
statistic (tRASA = 31.814;
P < 0.001).
Sequences were aligned by using the CLUSTAL W alignment
model (19). The alignment consisted of 1,696 sites, including gaps. A
total of 578 sites, primarily in one large hypervariable region, were
unalignable and therefore were excluded from our analyses (sites
122-510, 591-600, 662-670, 774-776, 1182-1240, 1353-1362, 1564-1608, and 1644-1696). The analyzed data set consisted of 331 variable (133 nonparsimony informative and 198 parsimony informative) and 787 constant sites. Average nucleotide frequencies estimated by
PAUP were 24:23:28:25 (A:C:G:T). There was no significant
deviation from these frequencies among taxa (
2
test for all sites and for variable sites). A likelihood ratio test of
the hypothesis that base frequencies were equal was not rejected
(P = 0.60) by the MODELTEST
program [(20);
lnL values were calculated by
PAUP]. The average transition-to-transversion ratio (Ti/Tv) was 1.88, estimated by the Kimura 2-parameter model. A
likelihood ratio test of the hypothesis that Ti = Tv was rejected (P < 0.0001). Given the base composition, substitution
rates, and low average distance in our data set (average Jukes-Cantor distance < 0.1), we followed the suggestion of Kumar et
al. (21) that the Kimura 2-parameter model would be most appropriate.
Phylogenetic analyses were accomplished by using
PAUP*4.0B4A (22). We approximated the Kimura 2-parameter
model to construct a neighbor joining (NJ) tree and to find the minimum
evolution (ME), and maximum likelihood (ML) trees. For all analyses, we used pairwise deletion and included all substitutions (transitions and
transversions). We used heuristic searches to find trees based on
maximum parsimony (MP), ME, and ML criteria. Support for the NJ, ME,
and MP trees was measured by using the bootstrap method with 1,000 replicates; for the more computationally intensive ML trees, we used
100 bootstrap replicates.
Locomotor Behavior.
We have examined the locomotor behavior of 23 species of stoneflies
from 11 families on 4 continents (North America, South America, Europe,
and Australia). Descriptions of these behaviors and the methods used to
examine skimming are published elsewhere (3-5, 7). High-speed video
recordings (500 frames per second) of distinct forms of surface
skimming are available at
http://www.bio.psu.edu/People/Faculty/Marden/PNASFig2.html.
Wing Structure.
To assess wing structural complexity, we counted the number of cross
veins between the costal vein and either the subcostal or radial vein
(hereafter referred to as costal cross veins) and those between the
anterior cubital vein and both the medial vein and the posterior
cubital vein (hereafter referred to as cubital cross veins; Fig.
1A). To examine wing-vein
structure, we cut 1-mm-thick sections across the entire wing chord,
perpendicular to the longitudinal axis of the wing at the point midway
between the base and tip of the forewing (Fig. 1A).
Thick sections were embedded in Spurrs resin, then sectioned (0.5 µm)
by using an ultramicrotome equipped with a diamond knife. These
sections were mounted on slides, sputter coated, and viewed under a
scanning electron microscope (JEOL JSM 5400) to obtain an image of the cross section of each longitudinal vein, from which we measured the
thickness of the dorsal and ventral cuticle at the midpoint of the vein
(Fig. 1B). Our sample of specimens for wing-vein
morphometric measurements came primarily from other scientists who had
no knowledge of the hypotheses we were testing (i.e., no bias in choice
of species).

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Fig. 1.
(A) Regions of stonefly wings from which cross veins
were counted and location of the chordwise cross section used for
measurements of vein morphology. (B and
C) Examples of cross sections of longitudinal wing veins
and the measurements taken for cuticle thickness. B
shows the medial vein of a relatively basal species,
Taeniopteryx burksi; C shows the medial
vein of the relatively derived species, Pteronarcella
badia.
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Statistical Analyses of Wing Structural Complexity.
We used square root transformations of wing length and vein thickness
to achieve normality and homoscedasticity. To compare means of
distributions that had significantly different variances, we used a
nonparametric analysis of variance (Kruskal-Wallis test). To control
for potential statistical nonindependence of data from related species,
we used branch lengths from our NJ tree as estimates of evolutionary
distance to generate independent contrasts (23, 24). This technique
uses a Brownian motion model of phenotypic evolution along with trait
differences between certain pairs of species and/or nodes on the tree
to generate, for N species, a set of N
1 standardized contrasts that are statistically independent.
 |
Results |
All of the phylogenetic analyses that we performed (NJ, MP, ME,
and ML methods) indicated that the family Nemouridae is the basal
plecopteran clade (e.g., the NJ tree in Fig.
2; bootstrap values for the node
separating Nemouridae from the remainder of Plecoptera were 87, 81, 75, and 54 for the NJ, ME, MP, and ML trees, respectively). Robust support
for the basal status of Nemouridae allowed us to designate this family
as an outgroup for the rest of the Plecoptera, then use a MP analysis
of our molecular data together with morphological characters (data from
ref. 16, with recoding of nonindependent characters according to ref.
15) to obtain better resolution of relationships among the plecopteran families. One important result of that analysis was strong support (bootstrap value of 89) for the node (asterisk in Fig. 2) that separates the superfamily Nemouroidea (Nemouridae + Taeniopterygidae + Megaleuctridae + Capniidae + Leuctridae + Notonemouridae) from the
remainder of the Plecoptera. This topology is a significant departure
from previous phylogenies constructed by using only morphological data
and assumed character polarities (15, 16); those studies place the
Nemouridae and the rest of the Nemouroidea as a relatively derived
clade. Aside from rooting, the topologies that we obtained by using
either molecular or a combination of molecular and morphological data
are congruent with topologies that have been obtained from analyses
based solely on morphological data (i.e., a monophyletic clade of
pteronarcids + peltoperlids + chloroperlids + perlids + perlodids; a
clade of eustheniids + diamphipnoids + gripopterygids + austroperlids;
the affinity of taxa within the superfamily Nemouroidea).

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Fig. 2.
A phylogeny of the Plecoptera, constructed by using a NJ analysis with
sequence data from the 18S gene. Taxa below Ostrocerca
are outgroups. Numbers on the left of nodes indicate bootstrap support
(1,000 replicates; only values over 70% are shown). The asterisk marks
the node separating the superfamily Nemouroidea from the more derived
taxa; although not well resolved by the 18S sequence data alone, this
node has a bootstrap support value of 89 in a MP analysis that combines
18S sequence data with morphological character data. Underlined taxa
are those included in our phylogenetic analysis that are known to be
surface skimmers or that initiate flight by jumping from the water
(3-7); taxa not underlined have not been sampled (except
Scopura, which is wingless and therefore incapable of
any form of winged locomotion, and the Perlidae, which we have never
observed to skim). Icons to the right of each underlined taxon show the
type of behavior used by that species. A version of this figure
containing links to video recordings of the behaviors is available at
http://www.bio.psu.edu/People/Faculty/Marden/PNASFig2.html.
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Surface skimming behavior is distributed widely across the phylogeny
(Fig. 2; skimming in an additional 10 stonefly species beyond those
included in our phylogeny is reported in ref. 7), including the basal
Nemouridae and other families within the Nemouroidea. Flight capability
is also widely distributed, as most stoneflies that use skimming can
also fly, albeit quite weakly in comparison to the vast majority of
other insects (3, 5, 7). Thus, our data indicate that the ancestral
condition for Plecoptera was most likely a combination of relatively
weak flight and surface skimming.
To investigate the evolutionary history of stonefly wing design, we
first examined the data for directional trends in the mean number of
costal and cubital cross veins. Because this analysis seeks to
determine whether there is a phylogenetic pattern in mean trait values,
we treated species as replicate samples and used conventional
statistical analyses to evaluate the presence or absence of a
phylogenetic trend. Our data indicate that species in the basal
Nemouroidea have fewer costal cross veins than the more derived taxa,
both before and after adjusting for wing length (Fig.
3 A and B). No such
directional trend is evident for length-adjusted differences in the
mean number of cubital cross veins (Fig. 3C).

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Fig. 3.
(A) Number of costal cross veins in the forewing of 34 species of stoneflies from 13 families. Filled circles represent taxa
from the basal superfamily Nemouroidea, open circles represent taxa
from the more derived clades; squares represent fossil species (see
D; these were excluded from the statistical analyses).
(B) Mean residual (+SE) number of costal cross veins in
forewings of the two basal clades ("B") vs. the more derived clades
("D"; P = 0.009); residuals are from the
regression of costal cross vein number on wing length.
(C) Number of cubital cross veins as a function of wing
length. There was no significant difference in residual values for
cubital cross veins in basal vs. derived taxa (P = 0.39). (D) Drawings of the earliest known fossil
stonefly wings [ 260 million years ago; reproduced with permission
from ref. 12 (Copyright 1965, Annual Reviews)].
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We also examined wing morphology in a way that corrects for potential
statistical nonindependence caused by shared evolutionary history
(i.e., the phylogenetic trends detected above). Techniques such as
independent contrasts (ICs; refs. 23 and 24) essentially remove
phylogenetic trends and can be used here to examine the variability of
traits around the phylogenetically adjusted mean. Using ICs for vein
number and wing length, we found no significant relationship between
the number of costal cross veins and wing length
(r2 = 0.15; Fig.
4A), but there was
significantly more variability in costal cross-vein number at nodes
within the more derived clades than nodes within the basal superfamily
Nemouroidea (Bartlett's test of homogeneity of variances;
P = 0.02). The number of cubital cross veins was
positively related to wing length in the IC comparison (Fig.
4B; r2 = 0.42;
P = 0.002), and residuals from that regression also
showed more variability within the more derived clades than within the Nemouroidea (P = 0.03). These analyses indicate that,
in addition to the directional trend in costal cross-vein number shown
above, stoneflies have also undergone a diversification (i.e.,
radiation) in the number of both costal and cubital cross veins.

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Fig. 4.
Plots of standardized independent contrasts derived for the number of
costal (A) and cubital (B) cross veins.
Closed circles represent values from nodes within the basal superfamily
Nemouroidea; open circles represent values from nodes within the more
derived clades. Sample sizes (n = 21 species) are
reduced in these plots compared with Fig. 3, because not all species
sampled for wing veins were included in the phylogenetic analysis;
points shown here represent only those taxa for which we also obtained
measures of phylogenetic distance.
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The earliest known stonefly fossils corroborate the hypothesis that
cross veins have become more numerous in the relatively derived modern
taxa. Cross-vein abundance in the forewing of a relatively basal fossil
species, Paleotaeniopteryx elegans [(12);
260 million
years ago; Taeniopterygidae; Fig. 3D)], does not differ
from modern Nemouroidea species (Fig. 3 A and C),
whereas the relatively derived fossil species, Stenoperlidium
permianum [(12); Eustheniidae; Fig. 3D], has a
reduced number of both costal and cubital cross veins in comparison
with similar-sized modern species (Fig. 3 A and
C). Thus, the abundant cross veins that typify modern
members of the family Eustheniidae are apparently a relatively recent
adaptation, perhaps in response to greater reliance on flight.
Cross-sectional structure of the longitudinal wing veins also shows
interesting evolutionary patterns. Our interest in vein structure (Fig.
1 B and C) was stimulated by the observation that all of the wing veins over the entire ventral wing surface of the
relatively basal skimmer Taeniopteryx burksi collapsed when the wings were exposed to a vacuum, whereas those of a more derived nonskimming perlid stonefly did not (Fig.
5). These differences are not the result
of a directional evolutionary trend, because the mean thickness (after
adjusting for wing length) of the cuticle at the ventral and dorsal
midpoint of the longitudinal wing veins does not differ between taxa
within the Nemouroidea vs. the more derived taxa (Fig.
6; P = 0.37 and 0.73 for
ventral and dorsal, respectively). However, analyses of independent
contrasts indicate that skimming species have significantly thinner
vein cuticles (Fig. 6; P = 0.038 and 0.003, respectively, for one-tailed tests of length-adjusted contrasts of
ventral and dorsal cuticle thickness) than do taxa belonging to
families in which we have never observed skimming (Perlidae,
Notonemouridae) or which skim very poorly (Chloroperlidae and
Perlodidae, which maintain skimming for only a few wing strokes). These
analyses indicate that the design of the tubular vein structures (Fig.
1 B and C) has responded to patterns of wing
usage.

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Fig. 5.
Scanning electron microscope images of the ventral surface of the
forewing of (Left) Taeniopteryx burksi
(Taeniopterygidae; bar = 10 µm) and (Right)
Paragnetina media (Perlidae; bar = 50 µm).
Exposure to a vacuum causes the collapse of the vein cuticle over the
entire ventral surface of T. burksi wings; no such
collapse occurs in P. media, which has thicker ventral
vein cuticles. There is no vein collapse on the dorsal surface of wings
from either species (image not shown).
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Fig. 6.
(A and B) Relationship between thickness
of the cuticle of longitudinal wing veins (mean of all longitudinal
veins from within each individual; total sample, 147 veins from 21 species) and wing length. Filled circles represent species that skim;
open circles represent species belonging to families in which we have
never observed skimming (Perlidae, Notonemouridae) or which skim only
transiently (i.e., for only a few wing strokes; Chloroperlidae,
Perlodidae). (C) Mean residuals (±SE) from regressions
of phylogenetically independent contrasts of vein cuticle thickness and
wing length. Mean residuals for vein thickness differ significantly for
nodes within clades of skimmers (S) vs. nonskimmers (N) in the
comparison of both the ventral and dorsal measurements
(P = 0.038 and 0.003 respectively; one-tailed
tests). Sample sizes are reduced in these plots compared with Fig. 3
because not all species sampled for vein thickness were included in the
phylogenetic analysis; data used here for independent contrasts
represent only those taxa (n = 11 species) for which we
also obtained measures of phylogenetic distance.
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Discussion |
Rooted phylogenies based on 18S rDNA sequence data, and a
combination of molecular and morphological data, provide strong support
for the hypothesis that the superfamily Nemouroidea is the basal clade
within the Plecoptera. A number of species that we have examined in
this superfamily, including species in the most basal family
Nemouridae, use the same method of moving in two dimensions on the
surface of water; they flap their wings through an arc of 90-110°
while their legs are spread in a stereotypical stance, with all six
tarsi in continuous contact with the water surface [i.e., six-leg
skimming (3, 5, 7)]. Most of the Nemouridae are flight capable or at
least marginally so, and this appears to be true for most species of
stoneflies. Surface skimming and various levels of flight
ability/inability also occur in gripopterygid, austroperlid, and
diamphipnoid stoneflies (7), which occupy a relatively derived position
on the phylogenetic tree. The widespread distribution of skimming among
basal and derived taxa indicates that skimming, along with weak flight,
is likely to be a retained ancestral trait. An alternative hypothesis,
that skimming is a recent loss of flight in a restricted set of taxa
(15), is not supported.
Surface skimming places far less stringent mechanical demands on the
wings than does flying, because contact with the water provides weight
support. Reduced mechanical demands should allow successful surface
skimming with structurally simpler wings, and our analyses of vein
number and cross-sectional structure support this hypothesis. Our data
indicate that the number of costal cross veins has become greater
during the radiation of Plecoptera, and that there has been an increase
in variability in the number of both costal and cubital cross veins.
Phylogenetically independent contrasts show that the cuticle that forms
the longitudinal wing veins is thicker among stoneflies that only fly
and have apparently lost the ability to skim. Fossil species such as
Stenoperlidium permianum (Fig. 3D), whose wings
had a reduced number of cross veins, may have been flight-incapable
skimmers, or perhaps they flew less frequently or with less
acceleration and maneuverability. This interpretation fits nicely with
the hypothesis that predation by modern surface-feeding fish makes
skimming a dangerous form of locomotion for most extant species (6, 7)
and thus a largely obsolete behavior that is now used primarily for
emergency escape from accidental contact with water. Winter stoneflies
(taeniopterigids and capniids), which are active during seasons when
fish do not feed at the surface, make routine use of skimming (3-4),
as do certain flightless mayflies (Ephemeroptera) that inhabit rivers in Madagascar that lack insectivorous fish (6). For stoneflies and
insects in general, a gradual increase in the intensity of predation at
the water surface may have driven a radiation away from routine use of skimming.
Allocapnia stoneflies (Capniidae) skim by sailing; they
raise their wings in response to wind and are incapable of flapping. Because this behavior is mechanically simpler than flapping, it was
originally proposed that sailing might be the ancestral condition (4).
However, a behavioral survey (7) has shown that another capniid
(Paracapnia angulata) uses wing flapping six-leg skimming in
a manner identical to nemourids and taeniopterygids. Similarities between the leg and body postures of sailing Allocapnia and
six-leg skimmers, along with the derived phylogenetic position of
capniids in relation to six-leg skimming nemourids, suggest that
sailing evolved when six-leg skimmers lost the ability to flap but
retained other features of their skimming behavior. Modifications of
six-leg skimming can also explain the other forms of skimming that we have observed (Fig. 2), based on postural changes that either increase
(rowing, swim-skim) or decrease (four-leg and hind-leg skimming)
contact with the water.
Our present study provides support for the hypothesis that surface
skimming has deep evolutionary roots within stoneflies. However, the
greater challenge remains to determine whether skimming was a
transitional stage leading to flight in winged insects as a whole. An
alternative hypothesis is that the immediate ancestors of stoneflies
had secondarily reduced wing structures and flight ability, and that
although skimming and relatively simple wings are ancestral in
stoneflies, these traits are unrelated to morphology and behavior of
other winged insects. It is not presently possible to distinguish
between these competing hypotheses, but there is a diverse and growing
body of evidence for a progressive evolution of flight from aquatic
origins. Analyses of fossils indicate that wings evolved from moveable
gills of aquatic ancestors [(25-27); such gills are present in
certain taxa of modern stoneflies and mayflies
(http://www.bio.psu.edu/People/Faculty/Marden/movies/gillflap.mov)]. The wings-from-gills hypothesis is supported by molecular genetic analyses of wing development (28, 29), the types of sensory receptors
on wings (30), and phylogenetic studies, which show that insects and
crustaceans are sister taxa (31-36). Both the anatomical and
phylogenetic data point to an aquatic or semiaquatic setting for wing
origins. Early winged insects diversified into two main clades, the
Neoptera (of which stoneflies are a relatively basal group) and the
Paleoptera, which are represented in modern forms by mayflies
(Ephemeroptera) and dragonflies (Odonata). Like stoneflies, all extant
Paleoptera have aquatic immature stages, deposit their eggs on or near
the surface of water, and, with the exception of modern dragonflies,
have very similar water-resistant hairs on their wings (3, 37). A
recent examination of wings and thoraces of fossil mayflies from the
Carboniferous and Permian revealed that they appear to have had greatly
reduced flight ability (14). Thus, mayflies have undergone an
elaboration of flight-related traits that is, in its general features,
parallel to what our analyses suggest has occurred in stoneflies. A
reasonable hypothesis to account for this diverse body of observations
is that the first winged insects were surface skimmers.
 |
Acknowledgements |
We thank E. Tsyrlin (Monash University, Melbourne, Victoria,
Australia), I. McLellan (Landcare Institute, Westport, New Zealand), P. Zwick (Max Planck Institute, Schlitz, Germany), T. Kishimoto (Tsukaba
International University, Tsuchiura, Ibaraki, Japan); M. Kramer
(Washington University, St. Louis, MO), O. Flint (Smithsonian Institution, Washington, DC), and W. Stark (Mississippi College, Clinton, MS) for supplying specimens for DNA analyses; O. Flint for
providing specimens for wing-vein measurements; J. Lyons-Weiler and N. Barr for assistance with phylogenetic reconstructions; M. McPeek for
deriving phylogenetically independent contrasts from our raw data; R. Walsh and M. Kramer for assistance with wing sectioning and SEM
imaging; J. Bye for drawings of skimming behaviors; and E. Tsyrlin, B. Aldrich, and G. Aldrich for logistical assistance and natural history
guidance during overseas field work in Australia and Chile. This
project was supported by National Science Foundation Grant IBN-9722196.
 |
Abbreviations |
NJ, neighbor joining;
ME, minimum evolution;
ML, maximum
likelihood;
MP, maximum parsimony.
 |
Footnotes |
*
To whom reprint requests should be addressed. E-mail:
jhm10{at}psu.edu.
This paper was submitted
directly (Track II) to the
PNAS office.
Data deposition: The sequences reported in this paper have been
deposited in the GenBank database (accession nos. AF311439-AF311472).
Article published online before print: Proc. Natl. Acad. Sci. USA,
10.1073/pnas.230296997.
Article and publication date are at www.pnas.org/cgi/doi/10.1073/pnas.230296997
 |
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