2008 NORTHEASTERN NATURALIST 15(3):335–348
Assessment of Genetic Divergence between Lacustrine and
Riverine Smallmouth Bass in Lake Erie and Four
Tributaries
W. Calvin Borden*
Abstract - Diverse freshwater lacustrine fishes enter tributaries to spawn, but resident
riverine members may also occupy these same tributaries. While mark-recapture
and biotelemetry studies suggest reproductive isolation between such populations,
the assertion has rarely been tested genetically. To address this question, Micropterus
dolomieu (Smallmouth Bass) from the southern shoreline of Lake Erie were compared
genetically to bass in adjacent tributaries. Results from mitochondrial DNA
sequences support the hypothesis that lacustrine and riverine populations segregate.
Furthermore, divergences among tributary populations were often as large as those
divergences between lacustrine and riverine bass, suggesting that each river population
may become genetically distinct.
Introduction
Migration in fishes is a common phenomenon generally related to
food distribution, habitat preferences, and reproductive requirements
(Lucas and Baras 2001). While diadromous migrations (those occurring
between fresh and salt waters) are often the most spectacular, potamodromous
migrations (those occurring solely within freshwaters) appear to be
more common than previously recognized. Fishes display seasonal migrations
in search of spawning sites, optimal water temperature, or flow
(Bunt et al. 2002). Consequently, discrete populations may have contact
over relatively small spatial and temporal scales and the genetic consequences
of this contact are usually unknown.
Black basses are well-recognized members of both riverine and lacustrine
warmwater fish communities and one of the top predators in aquatic
ecosystems (Sowa and Rabeni 1995). Micropterus dolomieu Lacépède
(Smallmouth Bass) are indigenous to Lake Erie and all of its tributaries
(Trautman 1981) and colonized these waters from the Mississippian refugium
(Mandrak and Crossman 1992) following retreat of the last glacial
advance ≈14,000 years ago. Adult lacustrine Smallmouth Bass follow a
structured migratory pattern among spawning sites and seasonal home
ranges (Ridgeway et al. 2002). Each spring, more than 70% of spawning
males return to within 100 m of their previous year’s nest (Ridgway
et al. 1991). Thus, philopatry is probable (Gross et al. 1994), though not
yet demonstrated. The preferred nest habitat is sand or gravel in the shal-
*Department of Biological, Geological, and Environmental Sciences, Cleveland State
University, Cleveland, OH 44115. Current address - School of Biological Sciences,
University of Nebraska-Lincoln, 348 Manter Hall, Lincoln, NE 68588-0118; cal.
borden@gmail.com.
336 Northeastern Naturalist Vol. 15, No. 3
lows of lake margins and river mouths (Scott and Crossman 1973). Nestsite
fidelity is arguably adaptive since the nonrandom location of nests is
important for egg and early larval survival rates, all critical components
of recruitment rates (Rejwan et al. 1997). Following courtship display,
males defend the eggs and fry. Even with good nest sites and paternal care,
survival to a free-swimming larval stage ranges from 21–96% due to predators,
fungal infection, storms, water level, and temperature fluctuations
(Steinhart et al. 2005, Webster 1954). Consequently, there is an enormous
discrepancy in male fitness, as larger males procure more matings (Wiegmann
et al. 1992), support larger broods (Ridgway and Friesen 1992),
defend nests more successfully (Philipp et al. 1997), and thereby contribute
more offspring to the fall young-of-the-year class (Knotek and Orth 1998).
In fact, Gross and Kapuscinski (1997) determined that only 5.4% of spawning
males contribute to 54.7% of an average young-of-the-year class. This
age-0 class remains within 200 m of the nest and overwinters nearby before
dispersing from their natal area as juveniles (Ridgway et al. 2002).
Lyons and Kanehl (2002) reviewed the migration patterns of native
Smallmouth Bass noting that some lake individuals move into tributaries
in the spring for spawning but subsequently return to the lake, a potamodromous
migratory pattern described as lacustrine-adfluvial (Varley
and Gresswell 1988). Such populations of Smallmouth Bass have been
described from Cayuga Lake, NY (Webster 1954), eastern Lake Ontario–
St. Lawrence River (Stone et al. 1954), Lake Simcoe, ON (Robbins
and MacCrimmons 1977), and Lake Ontario, NY (Gerber and Haynes
1988). Thus, several groups of Smallmouth Bass may co-exist within a
single lake system: lacustrine populations residing and spawning within
the lake, potamodromous populations residing in the lake but spawning
in tributaries, and resident tributary populations. Therefore, genetic
variation in two regions of the mitochondrial genome (control region and
cytochrome-b) was quantified and used to test this assertion with respect
to lake and river groups. Two hypotheses were evaluated in the context of
Smallmouth Bass behavior and migration patterns: (1) have riverine and
lacustrine Smallmouth Bass diverged genetically, and (2) are Smallmouth
Bass from adjacent rivers more closely related to each other than they are
to lacustrine fish?
Material and Methods
Smallmouth Bass were collected from the central and western basins of
Lake Erie and from four tributaries along the southcentral and southeastern
shoreline by trawling, seining, or electroshocking (Fig. 1). Detailed
sampling site locations and dates are given in the caption of Figure 1. Site
names within Lake Erie (Fairport Harbor, Perry, Ashtabula, Conneaut, OH,
and Van Buren Bay, NY; listed west to east) were delineated by the Ohio
Division of Natural Resources, but largely represent the nearest city on the
southern shore. Predominantly pre-spawning adults (>300 mm TL) were
2008 W.C. Borden 337
sampled from lacustrine sites, and they represent fish previously described
in Borden and Stepien (2006) with the addition of one fish from “Ashtabula.”
Lacustrine fish from the western basin of Lake Erie and Long Point Bay, ON,
were excluded from this analysis because lacustrine fish sampled closest to
the river mouths were assumed to be most relevant for contrasting potential
lacustrine-riverine differences. The Chagrin, Cuyahoga, and Grand rivers
(all in OH) were tributaries in the central basin of Lake Erie, and Cattaraugus
Creek (NY) is a tributary in the eastern basin (Fig. 1). Juvenile and adult
Figure 1. Collection sites of Smallmouth Bass from Lake Erie and four tributaries
are indicated with a circle. Coastal collections (west to east) were made at Fairport
Harbor, OH; Perry, OH; Ashtabula, OH; Conneaut, OH; and Van Buren Bay, NY.
Dashed lines indicate watershed boundaries. Vertical bars on rivers indicate the
location of falls or dams: Cuyahoga Falls on the Cuyahoga River, Chagrin Falls on
the Chagrin River, and Harpersfield Dam on the Grand River. Inset: Great Lakes
highlighting Lake Erie. Riverine sampling sites listed from mouth to headwater:
Cattaraugus Creek (n total = 11): Erie County, NY, below bridge of state highways 5
and 20, 14–29 April 2003. Chagrin River (n total = 19): Cuyahoga County, OH, 500
feet south of Cedar Road off Chagrin River Road, 18 June 2003, (n = 11); Cuyahoga
County, OH, mouth of Griswold Creek, 27 June 2005, (n = 4); Geauga County, OH,
Fairmount Road and state highway 306, 27 June 2005, (n = 4). Cuyahoga River
(n total = 10): Summit County, OH, at Brust Park in Munroe Falls, OH, 08 July 2003,
(n = 5); Portage County, OH, at John Brown Tannery Park in Kent, OH, 08 July
2003, (n = 5). Grand River (n total = 12): Lake County, OH, mouth of Grand River,
April 2005, (n = 1); Lake County, OH, 100 yards downstream of state highway 528
bridge, 18 June 2003, (n = 1); Ashtabula/Lake County line in OH, 14 September
2001, (n = 1); Ashtabula County, OH, 200 yards downstream of Harpersfield Bridge
on old state highway 534, 18 June 2003, (n = 4); Ashtabula County, OH, Riverdale
Bridge, 10 October 2005, (n = 3); Ashtabula County, OH, Rock Creek, tributary of
Grand River near state highway 45, 14 September 2001, (n = 2).
338 Northeastern Naturalist Vol. 15, No. 3
Smallmouth Bass were sampled from the Cuyahoga River (n = 10, range =
92–385 mm total length [TL], median total length [η] = 169 mm), Chagrin
River (n = 19, 35–235 mm TL, η = 100 mm), Grand River (n = 12, 60–447
mm TL, η = 107 mm), and Cattaraugus Creek (n = 11, 313–456 mm TL, η =
381 mm) spanning the months of April to October from 2001 to 2005. The
median length of riverine fish was small, indicating a predominately juvenile
collection. The only exception was Cattaraugus Creek, where all fish were of
spawning size and age. Smallmouth Bass have not been stocked within Lake
Erie in recent history (K. Kayle, Ohio Department of Natural Resources,
Division of Wildlife [ODW], Fairport Harbor, OH, pers. comm.).
The collection locations, dates, and median size of the fish sampled
within the rivers lend confidence that stream-resident Smallmouth Bass
were collected. Multiple collection sites within each river mitigated the
effects of sampling the same “family” or cohort of Smallmouth Bass.
Collection sites in the Chagrin, Cuyahoga, and Grand Rivers were located
upstream of lowhead dams or natural falls. Summer sampling of river
populations reduced the confounding effects of sampling lacustrine fish
during either a spring or fall migration (Lyons and Kanehl 2002). The two
exceptions were collections made in April near the mouth (less than 5 km from
Lake Erie) of the Grand River (n = 1) and Cattaraugus Creek (n = 11).
Despite attempts to mitigate the effects of non-random sampling, small
sample sizes may not have removed the potential effects of random
chance due to sampling error.
Fin clips were taken and stored either on ice in the field and then at
-80 °C in the laboratory or placed directly in 95% ethyl alcohol in the
field. DNA extraction, amplification, and sequencing details, including
haplotype designations, were described previously (Borden and Stepien
2006). Concatenated sequences (840 total bp) were constructed from 540
bp of the 3’ end of cytochrome-b and 300 bp of the 5’ end of the control
region and analyzed as such.
Mitochondrial DNA variation was described using several diversity
indices. Population structure between riverine and lacustrine sites and
among riverine sites was evaluated using statistical analyses of differentiation
(Raymond and Rousset 1995), estimates of divergence (ΦST of
Weir and Cockerham 1984), and average pairwise distances corrected for
within population variation (dA = dxy – {dx + dy}/2 [Nei 1987]). In these
analyses of population structure, lacustrine samples were pooled as a
single lake collection based on the findings of Borden and Stepien (2006)
and Stepien et al. (2007). An analysis of molecular variance (AMOVA;
Excoffier et al. 1992) using haplotype pairwise differences was performed
to partition genetic variation. The goal was to quantify the contribution
from (1) lake versus river samples and (2) differences among sampling
sites within a habitat (lake or river). All calculations were performed with
Arlequin 3.11 (Excoffier et al. 2006), and p-values were evaluated using
sequential Bonferroni correction (Rice 1989).
2008 W.C. Borden 339
A mitochondrial gene tree was constructed using maximum parsimony
under a branch-and-bound search and neighbor-joining with mean
uncorrected p-distances (PAUP*v.4.0b10; Swofford 1998). Phylogenetic
analyses of intraspecific haplotypes violate assumptions of bifurcating lineages
and the retention of ancestral haplotypes in the population (Posada
and Crandall 2001). Consequently, a haplotype network was constructed
using the median- joining (Bandelt et al. 1999) and post-processing Steiner
algorithms (Polzin and Daneschmand 2003) in Network v. 4.1.1.2 (Rohl
2004). Nested-clade analysis (Templeton et al. 1995) was employed to differentiate
population structure from population history. Haplotypes in the
resulting network were nested using ANeCA (Automated Nested Clade
Analysis; Panchal 2007, Panchal and Beaumont 2007) following the criteria
outlined by Templeton et al. (1987), Templeton and Sing (1993), Crandall
(1996), and Templeton (2002). The spatial arrangement among sampling
sites was best described by linear distances along rivers and the shoreline
of Lake Erie. Thus, a matrix of pairwise distances among the nine sampling
sites and the nesting structure of haplotypes were tested for nonrandom associations
between haplotypes and geography using Geodis v2.5 (Posada
et al. 2000). Two summary statistics, Dc and Dn, describing the spatial relationships
of haplotypes in a clade and among nested clades, respectively,
were then interpreted using an inference key (14 July 2004) in ANeCA.
Results
Sixteen concatenated haplotypes were found in 91 Smallmouth Bass from
four Lake Erie tributaries and adjacent lake populations (Table 1). From the
10 haplotypes present in multiple copies, one was restricted to Lake Erie,
four were restricted to rivers, and five were shared between samples from
the rivers and the lake. Cytochrome-b and control region sequences were
submitted to Genbank (Table 1).
Analyses on pooled data for fish collected in rivers and Lake Erie indicated
that these populations have diverged (fixation index [ΦST = 0.14, P <
0.01], genetic distance [dA = 0.04, P = < 0.01], and population differentiation
test [P < 0.01]). Of the four lake-to-river pairwise comparisons, the average
ΦST ± SE was 0.26 ± 0.10 and the average pairwise distance was 0.65 ± 0.34
(Table 2). However, a lake-to-river partition (AMOVA) explained only 9.3%
of the variation (FCT = 0.09, P = 0.14), in part because among-sampling-site
variation within habitat type (lake or river) explained 19.4% of the variation
(FSC = 0.21, P < 0.01). The largest source of variation occurred within sampling
sites (71.4%, FST = 0.29, P < 0.01). Even fish from Cattaraugus Creek
were divergent from fish in Lake Erie, suggesting that these two groups do
not belong to the same population despite their close proximity.
Samples from each river generally differed significantly from other rivers
(Table 2). The greatest divergence occurred between the Chagrin and
Grand Rivers, while the lowest divergence occurred between the Chagrin
and Cuyahoga Rivers. The average river-to-river divergence (average ΦST =
340 Northeastern Naturalist Vol. 15, No. 3
0.27 ± 0.15) and average river-to-river genetic distance (dA = 0.89 ± 0.53)
were similar in magnitude to pairwise lake-to-river differences.
Haplotype divergences ranged from 0.1% to 0.6%, indicative of the
relatively young age of this system (<14,000 y). These small divergences
were reflected in a poorly resolved gene tree (not shown) and a cycle within
the haplotype network (Fig. 2A). Yet, some clade divergences could be
attributed to intrinsic and extrinsic population mechanisms. Nested-clade
analysis identified three 2-step clades and six 1-step clades (Fig. 2B).
Clade II-1 was predominantly composed of riverine haplotypes, lacustrine
Table 2. Population divergence (ΦST above diagonal) and genetic distance (dA below diagonal)
estimates among riverine and between riverine–lacustrine Smallmouth Bass based on concatenated
mtDNA sequences of cytochrome-b and the control region. Negative values are converted
to zero. “*” indicates statistical significance following sequential Bonferroni correction.
Cuyahoga R. Chagrin R. Grand R. Cattaraugus C. Lake Erie
Cuyahoga River <0.01 0.34* 0.20* 0.29*
Chagrin River 0.00 0.45* 0.31* 0.38*
Grand River 1.21* 1.56* 0.32* 0.18*
Cattaraugus Creek 0.66* 0.92* 0.93* 0.19*
Lake Erie 0.74* 1.08* 0.36* 0.41*
Table 1. Distribution of mtDNA concatenated haplotypes and nested-clade delineations. Haplotype
numbers of cytochrome b (Cytb) and control region (Ctrl) sequences are consistent with
those in Borden and Stepien (2006). LE = Lake Erie; Cu = Cuyahoga River; Ch = Chagrin River;
GR = Grand River; Ca = Cattaraugus Creek.
Cytb GenBank Ctrl GenBank
Clade Hap LE Cu Ch GR Ca n hap # accession hap # accession
II-1
I-1 A 4 4 1 11 EU267709
B 1 1 2 10 EU267708
I-2 C 4 10 14 6 EU267711 3
D 4 3 1 8 1 3 DQ354377
E 2 2 7 EU267712 3
II-2
I-3 F 6 6 1 4 DQ354378
I-4 G 6 7 1 14 1 2 DQ354376
II-3
I-5 H 7 6 2 1 16 1 DQ354383 1 DQ354375
I 3 2 5 1 7 DQ354381
J 12 1 1 14 2 DQ354384 1
K 1 1 4 DQ354386 1
L 1 1 1 12 EU267710
M 1 1 8 EU267713 1
I-6 N 2 2 5 DQ354387 1
O 1 1 5 9 EU267707
P 1 1 5 5 DQ354379
Totals 39 10 19 12 11 91
h 0.83 0.82 0.63 0.67 0.87
SE < 0.01 0.03 0.02 0.04 0.03
2008 W.C. Borden 341
haplotypes dominated clade II-2, and clade II-3 was comprised of riverine
and lacustrine haplotypes. Contiguous range expansion was the most-likely
mechanism identified producing clade II-1, which itself was composed of a
Figure 2. Relationships of 16 concatenated mtDNA haplotype as determined by (A) a
haplotype network and (B) nested-clade analysis. Circles represent haplotypes identified by letters as in Table 1. (A) This network was produced from the median joining
and Steiner algorithms in Network v. 4.1.1.2. Black fill indicates lacustrine origin of
collection; white fill indicates river origin. Circle size indicates the relative proportion
of each haplotype; the smallest circles are singletons. Haplotypes are separated
by one base-pair change except haplotypes D and C, which are separated by two base
changes both in the cytochrome-b gene. (B) One-step clades are identified by an “Iclade
number” and enclosed in rounded boxes. Two-step clades are identified by a
“II-clade number” and enclosed in dashed boxes. Clades I-2 and II-1 rejected the null
hypothesis of a random association between geography and haplotype distribution.
342 Northeastern Naturalist Vol. 15, No. 3
western clade (I-2 in the Chagrin and Cuyahoga rivers or Lake Erie) and an
eastern clade (I-1 in Cattaraugus Creek). Restricted gene flow with isolation
by distance was the most likely mechanism identified producing clade I-2.
While the remaining clades failed to reject the null hypothesis of a random
association between the distribution of sampling sites and haplotypes, many
of the clades were characterized by haplotypes restricted to, or dominated
by, a single habitat.
Discussion
Evidence for discrete lacustrine and riverine populations
Genetic evidence is consistent with the hypothesis that riverine and
lacustrine Smallmouth Bass represent reproductively isolated groups,
though contemporary gene flow between them cannot be ruled out. Riverine
fish shared only 31% of the mtDNA haplotypes with lacustrine fish, and most
private haplotypes occurred in riverine fish. While the lake/river partition of
Smallmouth Bass accounts for only 9.3% of the total variation, inferences
from F-statistics and genetic distances support a genetic distinction. The
large variation among and within sampling sites, combined with modest
sample sizes, may have contributed to the statistical non-significance and
therefore limits conclusions that can be drawn in this study. However, the
relatively weaker estimates of population divergence among geographically
distant lacustrine sites within Lake Erie, as observed by Borden and Stepien
(2006) and Stepien et al. (2007), suggest that the lake/river dichotomy is an
important biological element shaping the genetic structure of Smallmouth
Bass populations in the watershed. While distinct lacustrine populations
can be associated with large bays (e.g., Sandusky Bay, OH; Long Point Bay,
ON) or shoals and reefs, particularly among the islands in the western basin
of Lake Erie (Borden and Stepien 2006, Kelso 1973, Stepien et al. 2007),
each tributary appears to be characterized by its own divergent population
of Smallmouth Bass.
Most haplotype clades are indicative of either a river or lake habitat.
Moreover, riverine clades (I-1, I-2, I-6, II-1) occur at the periphery of the
haplotype network, while lacustrine-dominated clades are generally more
centrally located, suggesting that riverine Smallmouth Bass were founded
from lacustrine populations. As a consequence, restricted gene flow between
Smallmouth Bass in the central basin of Lake Erie and those in the Cuyahoga
and Chagrin Rivers is a possible mechanism explaining their divergence as
indicated by the NCA (Fig. 2B, clade I-2). Though small sample sizes limit
firm conclusions, the data are consistent with a colonization scenario of dispersal
from ancestral waterways into the tributaries, followed by restricted
gene flow, which ultimately resulted in divergent populations. Such lake/
river divergence of Smallmouth Bass could be maintained by seasonal migratory
habits (Lyons and Kanehl 2002, Ridgway et al. 2002) and nest-site
fidelity (Ridgway et al. 1991). Alternatively, the possibility that Smallmouth
2008 W.C. Borden 343
Bass colonizing Lake Erie and its tributaries originated from multiple and
distinct gene pools is not addressed here and cannot be eliminated as a potential
contributor to their genetic divergence.
Differentiation of lacustrine and riverine fish populations is taxonomically
and geographically widespread (Lucas and Baras 2001). For example,
Trautman (1981) observed morphological and meristic differences in lacustrine
and riverine populations of Etheostoma blennioides Miller (Greenside
Darter) and E. nigrum eulepsis (Hubbs and Greene) (Johnny Darter) (Percidae)
and Campostoma pullum (Agassiz) Central Stoneroller (Cyprinidae)
within these same tributaries of Lake Erie. Even in a relatively young lake
(≈14,000 years) such as Lake Erie, genetic evidence is consistent with reproductive
segregation of lacustrine and riverine populations of Smallmouth
Bass. A genetic evaluation of putative potamodromous populations (Gerber
and Haynes 1988, Robbins and MacCrimmon 1977, Stone et al. 1954, Webster
1954) co-occurring with stream and lake populations of Smallmouth
Bass would be worthy of future study.
Evidence for divergence among tributary populations
Perhaps as important as the apparent separation of riverine-lacustrine
populations is that many of the relatively small Lake Erie tributaries seem
to possess genetically distinct populations of Smallmouth Bass. Minimal
levels of divergence among sites in Lake Erie (Borden and Stepien 2006,
Stepien et al. 2007) suggest that the among-site variation (19.4%) is due
largely to haplotype variation among the tributary populations. Divergence
among the tributary populations is an equally important element
that shapes the genetic structure of Smallmouth Bass populations across
the Lake Erie watershed and it logically arises as a by-product of a river/
lake dichotomy. Among these proximate rivers, three apparent geographical
patterns were observed: (1) the Chagrin and Cuyahoga River fish are
characterized by a small genetic divergence; (2) this pairing differs from
neighboring Grand River bass and more distant Cattaraugus Creek bass;
and (3) the Grand River population, while significantly divergent from
bass in Lake Erie, are more similar to lake populations than they are to
bass from other tributaries. The glacial history provides clues that are
consistent with these patterns.
The Cuyahoga River bounds the Chagrin River on three sides (Fig. 1)
and both rivers possess naturally occurring falls and rapids that currently
limit upstream migration of fishes. Chagrin Falls is a naturally occurring 6-m
waterfall, and Cuyahoga Falls is a series of rapids and falls through which
the river drops 67 m; both of these natural barriers have been supplemented
with small dams. A small genetic divergence between bass in these rivers is
consistent with recent mixing of headwater populations, which may have
been facilitated by river capture of the headwaters during isostatic rebound
(Bishop 1995).
344 Northeastern Naturalist Vol. 15, No. 3
The Grand River may have had a more recent and extended connection
with the lacustrine habitat of primordial Lake Erie not shared by the Chagrin
and Cuyahoga Rivers. During the last ice advance in the late Woodfordian
period (≈15,000 years ago), two glacial lakes (Rock Creek Lake and
Grand River Lake) occupied the present day Grand River valley (White
1982, White and Totten 1979). This extended lacustrine connection with the
lowland Grand River may explain the lower divergence between the current
Smallmouth Bass in the Grand River and Lake Erie.
According to results from the nested-clade analysis, the apparent divergence
of bass in Cattaraugus Creek may be due to contiguous range
expansion. Consistent with this interpretation is that the Wisconsinin sheet
retreated from the Erie basin in a southwest to northeast direction, possibly
allowing Smallmouth Bass from the central basin to disperse more than 200
km along the southern shore in an easterly direction toward Cattaraugus
Creek. This scenario is supported by an eastern clade (I-1) restricted to Cattaraugus
Creek that is derived from a western clade (I-2) found in the central
basin of Lake Erie and the adjacent Chagrin and Cuyahoga Rivers.
While results indicate that river populations may be distinct from one
another, specific relationships among river populations remain uncertain.
For example, the small mtDNA divergence of Smallmouth Bass between
the Cuyahoga and Chagrin Rivers is contradicted by a very large and
statistically significant nDNA microsatellite divergence (Stepien et al.
2007). However, discordance between mitochondrial and nuclear markers
is not uncommon (e.g., Brown et al. 2005, Canestrelli et al. 2007).
The distribution of genetic variation within a single river was not evaluated,
but resident-stream Smallmouth Bass possess variable migratory
behaviors within and among rivers (Lyons and Kanehl 2002, Paragamian
and Coble 1975, Reynolds 1965), which may have contributed to this
discrepancy. Small samples sizes might also have played a role in their
discordance, necessitating that conclusions drawn from these results
should be tempered. As anticipated for other aquatic organisms in these
rivers, Chagrin and Grand River populations of Allocapnia recta (Claassen)
(winter stonefly) are also genetically divergent (Yasick et al. 2007),
potentially indicating a shared genetic response by diverse organsimal
groups to common geographical events. Regardless of their interrelationships,
all riverine populations appear to have diverged from each other,
even those within close geographical proximity.
The small geographical scale of the four tributaries and modest sample
sizes from those populations soften the results of this study. However, the
suggestions that riverine populations are divergent, and distinct from lacustrine
Smallmouth Bass, warrant a more thorough evaluation of their genetic
variation. Similarly, future research to assess the presence of potamodrous
Smallmouth Bass populations in this system would be well served.
2008 W.C. Borden 345
Acknowledgments
This study was made possible only through the generosity of numerous field
hands. They include D. Einhouse and staff (NY State Department of Environment and
Conservation); K. Kayle, J. Deller, C. Knight, and T. Bader (ODW); B. Zawiski and S.
Taylor (Ohio Environmental Protection Agency); M. Coburn and L. Kousa (John Carroll
University); J. Giboney, M. Jedlicka, and T. Marth (National Science Foundation
sponsored Research Experiences for Undergraduates program, DBI 0243878 to B.
Walton and C. Stepien, and Cleveland State University [CSU] President’s Fellowships
program); A. Ford, R. Krebs, O. Lockhart (CSU); and C. Stepien (University of
Toledo). M. Blum sequenced samples at the CSU DNA Facility. The Ohio Sea Grant
(Project Number R/LR-5 to C. Stepien), as well as a CSU Doctoral Dissertation Research
Expense Award and a research grant from the CSU DNA Analysis Facility, both
to C. Borden, funded this project. Page charges were offset by the College of Science.
The manuscript benefited from critiques by M. Coburn, P. Doerder, C. Stepien, and in
particular R. Krebs, who performed yeoman’s work. E. Carson and two anonymous
reviewers provided many valuable and constructive comments.
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