Andrea L. J. Miehls, Department of Fisheries and Wildlife, Michigan State University, 13 Natural Resources Building, East Lansing, MI 48824, USA. Tel.: +517 353 7981; fax: 517-432-1699; e-mail: email@example.com
Interest in the evolution of invasive species has grown in recent years, yet few studies have investigated sources of variation in invasive species traits experiencing natural selection. The spiny water flea, Bythotrephes longimanus, is an invasive zooplankton in the Great Lakes that exhibits seasonal changes in tail spine and body length consistent with natural selection. Evolution of Bythotrephes traits, however, depends on the presence and magnitude of quantitative genetic variation, which could change within or across years. Clonal analysis of wild-captured Bythotrephes indicated that variance components for distal spine length were variable among but not within years. Spine length was always heritable but was not always influenced by maternal effects. In contrast, variance components for body length varied both within and among years, but likewise body length was always heritable and not always influenced by maternal effects. Results indicate that important Bythotrephes traits have heritable variation comparable to native species and other invasive species that would enable an evolutionary response to natural selection. This evolutionary capacity could contribute to the widespread success and dramatic effects of Bythotrephes invasion in systems with diverse biotic and abiotic conditions.
Although we are beginning to appreciate the importance of evolution to the ecological effects of invasive species, we still have limited knowledge of the rate of and constraints on invasive species evolution (but see Lavergne and Molofsky 2007; Dlugosch and Parker 2008; Colautti et al. 2010). In particular, we know little about genetic variation in invasive species traits despite its potential to constrain evolutionary rates (Lynch and Walsh 1998; Conner and Hartl 2004; but see Blows and Hoffman 2005). A wealth of studies of neutral (molecular) genetic variation in invasive species have been published (Dlugosch and Parker 2008), but there have been few studies of genetic variation in quantitative traits (reviewed in Table 1; see also Dlugosch and Parker 2008). Furthermore, the few studies that have addressed quantitative genetic variation suggest no consistent pattern in the amount of genetic variation in invasive species traits; quantitative genetic variation ranged from very low to exceptionally high (Table 1).
Table 1. Measures of quantitative genetic variation in invasive species traits, including genetic and additive genetic variation (Vg and Va, respectively), coefficients of additive genetic variation (CVa), and broad- and narrow-sense heritabilities (H2 and h2, respectively).
Statistically significant values are presented in bold; values reported without reference to statistical significance are presented in italics. We obtained values from a literature search using the ISI Web of Science® with the key words ‘invasive species’ and ‘genetic variation’. Only studies reporting univariate estimates of quantitative genetic trait variation of invasive species in their invaded range were included.
*Eales et al. (2010) derived h2 from mother-offspring regression, and thus values may be inflated due to maternal effects.
††h2 averaged across female preferences for the following male traits reported in Brooks and Endler (2001b): attractiveness, predicted attractiveness, body size, tail area, black area, fuzzy black area, orange area, orange chroma, orange brightness, iridescent area, spot number, mean brightness, brightness contrast, mean chroma, and colour contrast.
The amount of genetic variation for a given trait can vary in space and time owing to genotype-by-environment interactions (Pigliucci 2001) or the erosion of genetic variation by natural selection. For example, previous research with clonally reproducing zooplankton suggests that genetic variation, as well as the ratio of genetic variation to total phenotypic variation (i.e. heritability), can decline throughout the growing season as a result of clonal selection (Lynch 1984; Pfrender and Lynch 2000). Thus, to understand how genetic variation affects the evolution and persistence of invasive species, it is important that genetic variation be quantified across a range of environmental conditions across the growing season.
Recent species introductions into the North American Great Lakes offer a strong opportunity to investigate sources of variation in invasive species traits and their ramification for ecological interactions. One invasive species considered to have potent ecological effects in the Great Lakes is Bythotrephes longimanus, the spiny water flea (hereafter Bythotrephes; Fig. 1), a predatory zooplankton native to Eurasia that was introduced to North America in the 1980s (Mills et al. 1993). The invasion of Bythotrephes has resulted in dramatic ecosystem changes owing to their central position in the food web as a dominant predator of zooplankton (Bunnell et al. 2011) and common prey for fish (Pothoven et al. 2007). The primary ecological effects of Bythotrephes involve alteration of zooplankton community abundance and composition (Lehman 1991; Yan et al. 2002; Barbiero and Tuchman 2004), which may affect phytoplankton communities (Strecker and Arnott 2008) and larval fish (Hoffman et al. 2001) through trophic cascades.
In this study, we used clonal analysis of wild-captured Bythotrephes raised across three generations in captivity to measure quantitative genetic variation in two Bythotrephes traits, namely their distal spine and body length, which affect their susceptibility to fish predators (see Study species, below) and thus govern their food web interactions. We assessed whether genetic variation in Bythotrephes traits differed among five time periods across 3 years. Although the initial Bythotrephes invasion may have involved a genetic bottleneck (based on analysis of neutral genetic variation; Colautti et al. 2005), their rapid spread soon after invasion (Mills et al. 1993) as well as evidence for multiple introductions and gene flow among introduced populations (Colautti et al. 2005) all suggest genetic variation in the Bythotrephes population may be high. We therefore predicted Bythotrephes traits would contain significant genetic variation. Following previous studies of clonal selection in other cladoceran zooplankton (e.g. Daphnia; Lynch 1984; Pfrender and Lynch 2000), we further predicted that genetic variation would decline throughout the growing season.
Materials and methods
Bythotrephes reproduce by cyclic parthenogenesis and have a short generation time (10–15 day, depending on water temperature; Branstrator 2005). They produce multiple asexual generations during the growing season, which culminate in sexual reproduction at the end of the season (Yurista 1992; Pothoven et al. 2001; Branstrator 2005). A conspicuous trait of Bythotrephes is their long tail spine (Fig. 1). The longest component of the tail spine is the distal spine (i.e. spine section from the tip of the spine to the first set of instar barbs), which is present at birth and does not change with instar development (i.e. the length of the distal segment does not grow). Instead, during the first two molts, total spine length increases through the addition of intercalary segments that each end with a paired barb (Branstrator 2005).
A large volume of research documenting fish predation on Bythotrephes indicates that fish are size-specific predators and suggests that natural selection on Bythotrephes traits may be occurring, although no study has explicitly measured natural selection. Bythotrephes are consumed by both gape-limited fish (typically juvenile fish <100 mm length) and non-gape-limited fish (typically adult fish; Schneeberger 1991; Mills et al. 1992; Branstrator 2005; Pothoven et al. 2007), with gape-limited predation dominating later in the growing season (Branstrator 2005). Because gape-limited fish selectively choose prey based on prey size, late-season gape-limited fish predation may be an important source of selection on the size of Bythotrephes morphological traits. Field surveys showing a correlation between Bythotrephes spine and body size and the abundance of gape-limited fish (Straile and Hälbich 2000), diet analysis of wild-caught fish (Schneeberger 1991; Mills et al. 1992; Barnhisel and Harvey 1995), variable spine and body size of Bythotrephes among lakes with different fish predation regimes (Bilkovic and Lehman 1997; Sullivan and Lehman 1998), and evidence for selective feeding of fish on Bythotrephes based on size of their morphological traits (Barnhisel 1991a,b) all suggest that fish may act as agents of natural selection on Bythotrephes morphological traits.
We collected Bythotrephes from Lake Michigan during 2007, 2008, and 2010 at either the 60-m (2007, 2008; sampling coordinates: 43°13.80′N 86°29.58′W) or 45-m (2010; sampling coordinates: 43°12.40′N 86°27.06′W) depth contours, approximately 12.5 and 9.5 km, respectively, west of Muskegon, MI. There was a single collection of 60 Bythotrephes mid-growing season (September 27) in 2007, three collections of approximately 300 Bythotrephes each spanning the growing season (July 28, September 22, and November 3) during 2008, and a single collection of 25 Bythotrephes early in the growing season (July 28) during 2010. Because Bythotrephes resting eggs hatch only at the start of the growing season (Yurista 1992) and Lake Michigan is well mixed at our sampling locations (Beletsky et al. 2007), we assumed that our samples at different time periods represented repeated samples of the same population. We used a conical zooplankton net with a 1-m-diameter opening and 363-μm mesh size towed vertically through the top 25 m of the water column. On shipboard, Bythotrephes were placed into 60-mL clear glass jars (one per jar) within 10 min of collection. Jars contained approximately 50 mL of Lake Michigan water previously passed through a 63-μm sieve.
We reared Bythotrephes in biological incubators using methods derived from Kim and Yan (2010) and personal communications (K. Schulz, State University of New York – College of Environmental Science and Forestry, Syracuse, New York, USA). We maintained Bythotrephes at 15°C with a 13:11 light/dark cycle in Lake Michigan water passed through GF/F Whatman filters. Water changes occurred every-other-day in 2007 and daily in 2008 and 2010. Each day we fed Bythotrephes ad libitum with approximately 150 Artemia nauplii that were <48 h old; in 2010, Bythotrephes were also given three Daphnia pulicaria daily.
We used clonal lines (Lynch and Walsh 1998) to raise Bythotrephes through the F2 generation (Fig. 2). We initiated each clonal line with a wild-captured Bythotrephes; the young (F1 generation) of the wild Bythotrephes were used to establish clonal sublines. We assumed all wild-captured Bythotrephes were genetically distinct, whereas we assumed all young born to a clonal line were genetically identical (Lynch and Walsh 1998). All young born in the laboratory were transferred to individual culturing jars within 24 h of birth. In 2007 and 2008, F2Bythotrephes were reared until they reproduced or died and preserved in 95% ethanol, whereas in 2010, F2Bythotrephes were preserved at birth (first instar). Consequently, in 2007 and 2008, F2Bythotrephes were preserved at various instar stages (1, 2, and 3). Whereas distal spine length does not change through instar development, body size increases with each instar (Burkhardt 1994), so we accounted for instar stage in the body length analysis. Two of our sampling periods, September 2007 and November 2008, lacked sufficient replication of instars among clonal and subclonal lines to estimate sources of phenotypic variation. Thus, only body length data in July and September 2008 and July 2010 were analysed. However, clonal analyses of distal spine length were performed for all time periods (i.e. September 2007, July through November 2008, and July 2010).
We photographed F2Bythotrephes using a digital camera attached to a dissecting microscope. Bythotrephes were oriented on their side such that the length of the body and tail spine was along a single plane of focus and the eye, thorax and abdomen regions of the body were visible (Fig. 1). Using imagej (Abramoff et al. 2004), we measured distal spine and body length to the nearest 0.001 mm of F2Bythotrephes from the digital photographs. Whereas our measurement of distal spine length (measured from the tip of the spine to the anterior end of the first set of instar barbs; Fig. 1) was standard for Bythotrephes research (e.g. Sullivan and Lehman 1998), our measurement of body length was not. We noted that some Bythotrephes had a bend at the junction of the thorax and abdomen (as in Fig. 1), whereas others did not. Differences in body position could therefore inflate measurement variation of body length based on previously used measurement techniques (linear distance from the eye to the base of the tail spine, e.g. Sullivan and Lehman 1998). As a result, we measured body length from the anterior edge of the eye to the base of the tail spine along the midline of the body with segments spanning the head and eye region, thorax and abdomen (Fig. 1). Although some organisms are known to decrease in length after preservation in ethanol (e.g. larval fish; Moku et al. 2004), our test of Bythotrephes morphological shrinkage in 95% ethanol revealed no significant shrinkage of Bythotrephes distal spine or body length (Data S1).
Heritability, maternal effects and statistical analyses
Using our clonal breeding design, we quantified genetic, maternal and environmental variance components for distal spine and body length from statistical models of among clonal line, among subline, and within subline variation, respectively (Lynch 1985; Lynch and Walsh 1998; Fig. 2). We fitted linear mixed effects models (LME) for each trait separately (i.e. distal spine or body length) using the nlme package (Pinheiro et al. 2009) in r version 2.12.0 (R Development Core Team 2010). In each case, the trait measured in F2 offspring was modelled by random effects for clonal line and subline nested within clonal line. We assessed the significance of the random effects in two ways: (i) by obtaining 95% confidence intervals around the random effects through bootstrapping (Potvin and Roff 1993) and (ii) through model comparisons using likelihood ratio tests (LRT). 95% confidence intervals were obtained by randomly resampling our data set of distal spine and body lengths (1000 iterations, accounting for clonal and subline structuring), which created a distribution of variances around our random effects. For the LRT, we fitted two additional models for each trait, with each model containing successively fewer random effects. The first additional model for each trait contained the random effect for clonal line but not the random effect for subline. The second additional model for each trait was a linear model without either random effect. As Bythotrephes body size increases during instar development, we included instar as a fixed effect (categorical for instars 1, 2 and 3) in models of body length. The only fixed effect in models of distal spine length was the intercept.
We also tested for temporal differences in genetic and maternal variance components by assessing differences by month within 2008 (July, September, and November) and assessing differences across years. We compared a model containing time period (either month or year) as a fixed effect and all random effects described earlier to a model containing the same fixed and random effects, but which allowed clonal and subline variation to differ by time period using the varIdent function in the nlme package (Pinheiro and Bates 2000). We used a LRT to assess whether separate estimates of clonal and subline variation for each time period significantly improved the fit of the model. It is noted that this approach differs from simply assessing the significance of time period as a fixed effect, which would assess whether mean phenotypes (i.e. distal spine or body length) differ among time periods. In our analysis, we were testing whether time period affected the clonal line and subline random effects in the model.
Descendants of clonal organisms are effectively linkage groups for their entire genotype and, therefore, broad-sense heritability (H2) is the appropriate measure of inheritance (Lynch and Walsh 1998; Conner and Hartl 2004). We estimated genetic (Vg), maternal (Vm) and environmental (Ve) variation from the variance among clonal lines, variance among clonal sublines and variance within clonal sublines, respectively, from our mixed-effect model analysis of our clonal breeding design. Based on Houle (1992), we estimated the coefficient of genetic variation (CVg) as:
accounting for clonal and subline structure in the trait mean. We used the variance components to calculate H2 as:
Similar to the calculation of H2, we calculated maternal effects (m2) as the ratio of maternal variance (Vm) to total phenotypic variance (Vg + Vm + Ve).
We obtained 13 clonal lines that produced F2Bythotrephes in September 2007, 18, 31, and 4 clonal lines for July, September, and November 2008, respectively, and 17 clonal lines for July 2010 (percent survival of clonal lines to the F2 generation during the five time periods was 22, 6, 9, 2, and 68%, respectively).
F2Bythotrephes mean (±1 SD; controlled for clonal and subline) distal spine length was 4.72 ± 0.73 mm in September 2007, 5.11 ± 0.50 mm in 2008 (all months combined) and 5.70 ± 0.34 mm in July 2010. Distal spine length in 2010 was significantly greater than in 2007 (P < 0.001) and 2008 (P < 0.001); distal spine length in 2008 was also significantly greater than in 2007 (P < 0.05). Variance components for Bythotrephes distal spine length did not differ among months within 2008 (LRT: = 3.3, P > 0.05) but differed across years (LRT: = 74.5, P < 0.001). We found significant (based on 95% confidence intervals and the LRT) genetic variation in Bythotrephes distal spine length in 2007, 2008 and 2010 (Table 2; Fig. 3), corresponding to CVg estimates of 15.0, 8.1, and 4.1 respectively, and H2 estimates of 0.76, 0.48 and 0.27, respectively (Table 2). We found significant maternal variation in distal spine length in 2008 and 2010, corresponding to m2 estimates of 0.13 and 0.59, respectively, but not in 2007 (Table 2; Fig. 3).
Table 2. Genetic (Vg), maternal (Vm), and environmental (Ve) variance components, coefficient of genetic variation (CVg), broad-sense heritability (H2), and maternal effects (m2) for distal spine and body length of Bythotrephes longimanus.
Variance components for distal spine length did not differ by month within 2008, but differed among years. Variance components for body length differed by month in 2008 and between years. Statistically significant (P < 0.05) genetic and maternal variance components based on likelihood ratio tests are presented in bold; 95% confidence intervals around the variance components are given.
Distal spine length
F2Bythotrephes mean body length for instars one, two and three was 1.53 ± 0.18 mm, 1.79 ± 0.24 mm, and 2.34 ± 0.15 mm in July 2008 and 1.61 ± 0.29 mm, 1.86 ± 0.24 mm, and 2.21 ± 0.34 mm in September 2008, respectively, and 1.58 ± 0.10 mm for instar one in July 2010. Body length for instars one, two and three did not differ by time period (P > 0.05 for all comparisons). In contrast to distal spine length, variance components for body length differed between months within 2008 (LRT: = 13.4, P < 0.001) and also across years (LRT: = 72.5, P < 0.001). We found significant genetic variation in Bythotrephes body length in July 2008, September 2008 and July 2010 (Table 2; Fig. 4), corresponding to CVg estimates of 7.8, 13.4 and 3.5, respectively, and H2 estimates of 0.30, 0.48 and 0.13, respectively (Table 2). We found significant maternal variation in body length in July 2008 and July 2010, corresponding to m2 estimates of 0.23 and 0.44, respectively, but not in September 2008 (Table 2; Fig. 4).
A growing body of research suggests that evolution in traits important to interspecific interactions of invasive species may play a key role in their effects on ecosystems (e.g. Mooney and Cleland 2001; Lambrinos 2004; Strayer et al. 2006). Our research quantified genetic variation in traits of the invasive zooplankton, Bythotrephes, a species that has caused severe and widespread ecological effects in the Great Lakes. We found that the two traits considered to have the greatest effect on food web interactions with fish, namely Bythotrephes distal spine and body length, both had significant genetic and maternal variation and exhibited moderate-to-high coefficients of genetic variation, broad-sense heritabilities and maternal effects (Table 2). Moreover, genetic variation for Bythotrephes traits did not decline over the growing season, as is typical for cladoceran zooplankton, but instead remained similar for distal spine length and increased for body length (Table 2).
Coefficients of genetic variation and heritability estimates for Bythotrephes distal spine and body length are similar to other invasive species (Table 1), and heritability estimates fall within the range of previously published broad-sense heritabilities for native cladoceran zooplankton, suggesting that evolution of these important Bythotrephes traits may not be limited by low genetic variation. Our range in heritability estimates (Table 2) for Bythotrephes distal spine and body length is similar to the range of heritabilities (0.28–0.62; Pfrender and Lynch 2000) for body size of Daphnia pulex, a widespread native Daphnia species. The concordance of heritability estimates between the invasive Bythotrephes and native Daphnia is significant given that previous studies have suggested that low genetic variation relative to other sources of variation may prohibit evolution of invasive species. Multiple source populations have already been suggested for the Bythotrephes invasion based on evidence from neutral loci (Colautti et al. 2005) and may explain the presence of substantial genetic variation relative to other sources of variation in the traits we investigated.
Two potential sources of bias to our study must be considered. First, our heritability estimates were derived from a clonal analysis in the laboratory, which is typical for heritability estimates for cladocerans (e.g. Lynch 1984; Lynch and Walsh 1998; Pfrender and Lynch 2000), but which could introduce a bias due to experimentally controlled environmental conditions (Conner et al. 2003; Wolff 2003; Calisi and Bentley 2009; but see, Weigensberg and Roff 1996). Our estimates of environmental variation (Table 2) were consistently lower than genetic variation for Bythotrephes distal spine length, but similar to genetic variation for Bythotrephes body length and maternal variation for both traits. It is possible that low environmental variation in the laboratory inflated our estimates of heritability and maternal effects as compared to wild populations. Second, our analyses involved low sample sizes that resulted from the, at times, poor survival of clonal lines and logistical constraints of the labour-intensive culturing of Bythotrephes (Kim and Yan 2010), which necessitated lower sample sizes than studies of other organisms (e.g. Daphnia). It is possible that poor survival could have reduced our estimates of genetic and maternal variation if significant laboratory-based clonal selection occurred. However, there was no relationship between the magnitude of genetic or maternal variation and clonal line mortality; our two time periods with the lowest clonal line mortality, September 2007 and July 2010, represented the highest and lowest estimates of genetic variation in distal spine length. The lack of relationship between mortality and sources of variation indicates that mortality was random with respect to our clonal lines. Further, the absence of a significant difference in genetic variation by time period within 2008 for distal spine length was unlikely to be due to low statistical power, as these data were sufficient for detecting significant changes in genetic variation in distal spine length across years and changes in genetic variation for body length both within and across years. Thus, despite variable clonal line survival among time periods, we did not have any evidence for clonal selection associated with our culturing approaches and the remaining samples were sufficient to test our predictions.
Our findings did not support the prediction that genetic variation in Bythotrephes traits would decrease throughout the growing season, despite the similarity in life history between Bythotrephes and the other cladoceran zooplankton on which we based this prediction. Like most cladoceran species, Bythotrephes reproduce by cyclic parthenogenesis (i.e. multiple rounds of asexual reproduction culminating in sexual reproduction that produces resting eggs at the end of the growing season; Yurista 1992; Pothoven et al. 2001; Branstrator 2005). After sexual reproduction, genetic variation and broad-sense heritabilities for cladoceran traits are often high (with heritabilities falling within the range of 0.4–0.6) as each resting egg hatchling is genetically unique (Lynch 1984). During subsequent asexual reproduction, genetic variation typically is reduced and broad-sense heritabilities decline as a result of clonal selection, approaching zero at the end of the season (Lynch 1984). Contrary to the scenario of clonal selection eroding genetic variation over the growing season, genetic variation for Bythotrephes distal spine length did not differ during three sampling periods within one growing season (July–November 2008). Furthermore, genetic variation in Bythotrephes body length increased between July and September 2008. The increase of genetic variation in Bythotrephes body length was associated with a decrease in maternal variation that together resulted in increased heritability, despite a concomitant increase in environmental variation.
Multiple scenarios could explain why seasonal patterns in Bythotrephes genetic variation are dissimilar to other cladoceran zooplankton. Previous research documenting declines in genetic variation of Daphnia clones during the growing season (Lynch 1984) was associated with strong and consistent natural selection. Conversely, temporal fluctuation in the direction of selection across the growing season (Sasaki and Ellner 1997), such as from opposing selection pressures by gape-limited and non-gape-limited fish predators whose predation rate varies seasonally (Branstrator 2005), might maintain high levels of genetic variation in Bythotrephes traits both within and across seasons. Alternatively, phenotypically plastic responses to changing environmental conditions can prevent selection from eroding genetic variation (Ghalambor et al. 2007) and thus could explain the persistence of genetic variation in Bythotrephes traits. If clones differ in their plastic responses to the environment (i.e. if clones differ in their reaction norms), then certain clones may be favoured in one set of environments and selected against in another set, thus maintaining genetic variation (Pigliucci 2001). Indeed, Burkhardt (1994) and Pothoven et al. (2003) suggested that Bythotrephes body size may be phenotypically plastic, potentially varying in response to their abiotic (e.g. temperature) and biotic (e.g. predator or prey presence) environment. Although our results for genetic variation in Bythotrephes distal spine and body length suggest a more complex scenario than unidirectional clonal selection through the growing season, to date, no study has estimated natural selection or quantified phenotypic plasticity experimentally in Bythotrephes traits. Thus, knowledge of selection and plasticity would be valuable for understanding why Bythotrephes distal spine and body length exhibit seasonal patterns in genetic variation that are atypical for a cyclic parthenogen.
Genetic variation in Bythotrephes distal spine and body length has implications for how Bythotrephes can respond to their food web interactions in the Great Lakes and could explain their invasive success in ecosystems with varying biotic conditions. Genetic variation allows for an evolutionary response to persistent environmental change across multiple generations (Lee and Gelembiuk 2008; Svanbäck et al. 2009). Our finding of moderate-to-high heritabilities throughout the growing season and across years suggests that Bythotrephes morphology could evolve in response to gape-limited fish predation, which increases throughout the growing season. Evolution of increased body size in response to gape-limited predation has previously been shown in Ambystoma maculatum (spotted salamander) larvae (Urban 2008) and Daphnia species (Spitze 1991). Moreover, Bythotrephes are abundant in a variety of lake environments with differing fish predator species and relative abundance of gape- versus non-gape-limited predators (Bilkovic and Lehman 1997; Sullivan and Lehman 1998; Young and Yan 2008). Concordantly, previous research has shown that distal spine and body length are variable among lakes (Sullivan and Lehman 1998). Potentially, the variability in Bythotrephes spine and body length represents local adaption to differing fish predation regimes, if Bythotrephes in other systems also maintain sufficient genetic variation to respond to selection from fish.
In addition to significant genetic variation, we also found significant maternal variation in Bythotrephes distal spine and body length that can affect phenotypic change between generations. The type of maternal effects we estimated are sometimes referred to as maternal identity effects (Sakwińska 2004) or intergenerational environmental effects (Schwaegerle et al. 2000). In a clonal analysis, maternal identity effects occur when sisters within a clonal line produce offspring that consistently differ despite being genetically identical and raised in a common environment. Maternal identity effects can be caused by maternal responses to small-scale environmental variation, which all experiments (even highly controlled laboratory experiments) inevitably involve (Schwaegerle et al. 2000), or by individual genetic differences caused by mutation. Because maternal identity effects have been shown to affect traits related to fitness (Sakwińska 2004), maternal identity effects may represent an important source of phenotypic variation in fitness-related traits of Bythotrephes.
In conclusion, our research has quantified genetic variation in two important ecological traits of an invasive species and has tested the stability of these sources of variation through time. Genetic variation in Bythotrephes distal spine and body length could contribute to the success of Bythotrephes at invading and dramatically altering ecosystems by permitting an evolutionary response to selection. This capacity for phenotypic change could explain, in part, the ability of Bythotrephes to invade lake ecosystems with variable biotic and abiotic conditions. As invasive species continue to threaten biodiversity worldwide, elucidating both the ecological and evolutionary foundations for their success will be critical.
We thank the McAdam Lab, Doug Schemske and three anonymous reviewers for helpful comments. Doran Mason, Dennis Donahue, Steven Pothoven, and the NOAA Great Lakes Environmental Research Laboratory and NOAA Lake Michigan Field Station offered research vessels and field support staff. Keali Chambers, Brittany Damschroder, Jason Fischer, Brittany Gunther, Nicole Hedquist, Lydia Kramer, Ian McCririe, Scott Miehls, Jennifer Pellegrini, Veronica Quesnell, Andria Salas, Ben Staton, Marie Stevenson and Brandon Vieder helped to collect data. Natalie Kim, Kevin Pangle, Kim Schulz and Peder Yurista provided valuable help with Bythotrephes culturing protocols. This work was supported by the Great Lakes Fishery Commission, the National Science Foundation (DEB-0089809), and an EPA Science to Achieve Results (STAR) fellowship (STAR Research Assistance Agreement No. FP91698801-0 awarded by the U.S. Environmental Protection Agency). This work has not been formally reviewed by the EPA, and the views expressed in this document are solely those of the authors. SDP acknowledges support from Michigan State University AgBioResearch. This is contribution number 1603 of the NOAA Great Lakes Environmental Research Laboratory.