Ecological Entomology (2005) 30, 541–547 Conservation implications of genetic variation between spatially and temporally distinct colonies of the endangered damselfly Coenagrion mercuriale P H I L L I P C . W A T T S , S T E P H E N J . K E M P , I L I K J . S A C C H E R I and D A V I D J . T H O M P S O N The Biosciences Building, School of Biological Sciences, Liverpool University, U.K. Abstract. 1. Good conservation management is underpinned by a thorough understanding of species’ historical and contemporary dispersal capabilities along with the possible adaptive or neutral processes behind any spatio-temporal genetic structuring. These issues are investigated with respect to the rare damselfly Coenagrion mercuriale (Charpentier) – the only odonate species currently listed in the U.K.’s Biodiversity Action Plan – in east Devon where its distribution has become fragmented. 2. The two east Devon C. mercuriale populations, only 3.5 km apart, have accumulated strong differences in frequencies of alleles at 14 microsatellite loci as a consequence of poor adult dispersal and drift. There is no contemporary migration between sites. 3. A genetic signature of population decline at both sites corresponds with known demographic reductions. Coenagrion mercuriale in east Devon are now significantly genetically less diverse than those from a population stronghold in the Itchen Valley. 4. Colonies would benefit from improved connectivity between areas and possibly by a transfer of individuals from other ecologically similar areas. 5. Because C. mercuriale has a semivoltine life cycle throughout the U.K., the possibility that alternate-year cohorts are reproductively isolated is explored. Genetic differentiation among cohorts is an order of magnitude less than between sites, suggesting that some larvae delay their development into adults for a year and recruit to a different cohort. 6. To our knowledge, this is the first study to document migration and gene flow between alternate-year cohorts in a species of odonate. From a conservation standpoint, the cohorts do not require separate management. Key words. Bottleneck, conservation, gene flow, genetic diversity, microsatellite, Odonata, voltinism. Introduction Defining intraspecific management units can be a problematic and controversial issue in conservation biology Correspondence: Phill Watts, Animal Genomics Laboratory, The Biosciences Building, School of Biological Sciences, Liverpool University, Crown Street, Liverpool L69 7ZB, U.K. E-mail: [email protected] # 2005 The Royal Entomological Society (Frankham et al., 2002). The frequently employed concept of an evolutionary significant unit (ESU; Moritz, 1994), for example, has been criticised on several grounds (e.g. see Crandall et al., 2000), but principally because the recent adherence to delineating ESUs on the basis of the spatial distribution of neutral genetic markers can fail to recognise important population-specific adaptations. Rather than separately managing divergent units or promoting gene flow among all populations, Crandall et al. (2000) argued for a more holistic approach to defining population distinctiveness that should accommodate the concepts of 541 542 Phillip C. Watts et al. ecological and genetic exchangeability. Where possible, maintaining natural levels of connectivity throughout a habitat network is encouraged because this preserves evolutionary patterns and processes rather than distinct intraspecific phenotypes (see Moritz, 1999). Good conservation practice therefore is underpinned by a thorough understanding of species’ historical and contemporary dispersal capabilities along with the possible adaptive or neutral processes behind any spatio-temporal genetic structure. These issues are addressed in respect of the damselfly Coenagrion mercuriale (Charpentier) – the only odonate species currently listed in the U.K.’s Biodiversity Action Plan – in a part of its range in which its distribution has become increasingly fragmented. Coenagrion mercuriale has been declining in its U.K. distribution for 50 years (Thompson et al., 2003) and is protected under the Wildlife & Countryside Act (1981) within the U.K. It is now limited to strongholds in the New Forest, Itchen Valley (Hampshire, southern England) and on the Preseli Hills (Pembrokeshire, Wales) and small populations at sites in Anglesey, Gower, Oxfordshire, Dorset and Devon (Purse, 2001). Because C. mercuriale adults typically do not move more than 100 m (Hunger & Röske, 2001; Purse et al., 2003; Watts et al., 2004a), the majority of colonies are considered to be vulnerable because they are unlikely to regularly receive immigrants from even apparently local sites. There is specific concern for C. mercuriale on the East Devon Pebblebeds because the last sightings of this species at Southey Moor (ST 192110), Luppitt (ST 164065), Hense Moor (ST 175080), and Venn Ottery Common (SY 063922) were in 1959, 1963, 1965, and 1990 respectively. This paper characterises the genetic structure of the two remaining C. mercuriale colonies known to exist in east Devon, at Aylesbeare (SY 054906) and Colaton Raleigh (SY 050868) Commons. Coenagrion mercuriale has been recorded in low numbers from Aylesbeare since 1956 but this population has increased substantially following the implementation of an enlightened grazing regime in 1989 (Kerry, 2001). Population sizes at Colaton Raleigh Common, some 3.5 km to the south of Aylesbeare, were substantially higher than at Aylesbeare during the mid 1980s, but this population crashed during the late 1990s and is presently being managed to aid population recovery; it is not known whether there is any inter-site movement. An interesting facet to the management of this species is that it has a semivoltine life cycle through most of its European range and certainly throughout the U.K. (Purse & Thompson, 2002). Kerry (2001) reported larger numbers of C. mercuriale in the odd year class (i.e. 1993, 1995, 1999, 2001) at Aylesbeare. That population demography varies between cohorts implies that they may be reproductively isolated; for example, Coates et al. (2004) reported genetic differences between sympatric uni- and bivoltine ecotypes of the corn borer Ostrinia nubilalis in North America. On the other hand, odonate larval developmental period is probably a plastic trait; larvae of C. mercuriale can accelerate their developmental time to 1 year (Thielen, 1992) while those of other congeners switch between semi- and # univoltinism depending upon the environment (Corbet, 1999). This raises the possibility of ‘leakage’ between C. mercuriale cohorts brought about by some individuals taking 1 or 3 years to complete their life cycle. Understanding the dynamics of possible links between cohorts is clearly important for conservation as this affects their management as either a single entity or two distinct units. The aims of this study were (1) to relate contemporary levels of genetic diversity and gene flow within and among the remaining colonies of C. mercuriale in east Devon with their recorded demographic histories, and (2) to assess the extent of any genetic differentiation between alternate year cohorts at Aylesbeare Common. These results are compared with published data for this species from a large, continuously distributed population in the Itchen Valley, Hampshire, U.K. to provide context to contemporary levels of gene diversity and genetic exchange in the remaining east Devon populations. Methods Site description Coenagrion mercuriale occurs in small areas of southern heathland on Aylesbeare and Colaton Raleigh Commons. The breeding habitat consists of shallow, narrow, slowflowing, spring-fed flushes that run over small pebbles overlaid with peat. There are approximately 100 m of suitable flushes at each site. Details of the five C. mercuriale sites within the Lower Itchen Complex in the Itchen Valley are provided by Watts et al. (2004a). DNA extraction and PCR We obtained DNA non-lethally by removing a hind leg (stored in individual 1.5 ml tubes containing 100% ethanol) from 20 to 48 animals from Aylesbeare Common and Colaton Raleigh Common in the summer of 2002, while a second sample from Aylesbeare Common was obtained in 2003 also. Removal of a single damselfly leg does not measurably affect fitness (Fincke & Hadrys, 2001) and no significant effect of sampling upon recapture rate was observed elsewhere (D. J. Thompson, unpubl. data). Genomic DNA was extracted from legs using a high salt protocol (Sunnucks & Hales, 1996). Allelic variation in 14 microsatellite loci were examined (LIST4-002, LIST4-023, LIST4-024, LIST4-030, LIST4-031, LIST4-034, LIST4035, LIST4-037, LIST4-042, LIST4-060, LIST4-062, LIST4-063, LIST4-066, LIST4-067) characterised by Watts et al. (2004b, c). Approximately 5 ng of DNA was used for PCR in a 10 ml final reaction volume containing 75 mM Tris-HCl pH 8.9, 20 mM (NH4)2SO4, 0.01% v/v Tween-20, 0.2 mM each dNTP, 3.0 mM MgCl2, 20 pmol forward primer, 30 pmol reverse primer, and 0.25 U Taq polymerase (ABgene, Epson, U.K.). Thermal cycling conditions are described by Watts et al. (2004b, c). PCR 2005 The Royal Entomological Society, Ecological Entomology, 30, 541–547 Spatio-temporal genetic variation in a rare odonate 543 products were pooled into one of two genotyping pools, determined by allelic size range and the 50 fluorescent dye, along with a GENESCAN-500 LIZ size standard (Applied Biosystems, Warrington, U.K.) and separated by capillary electrophoresis through a denaturing acrylamide gel on an ABI3100 automated sequencer (Applied Biosystems). Alleles were sized using the cubic model of analysis in the GeneMapper analysis software. Statistical analysis Genetic variability. Genotypic linkage equilibrium among all locus-pair combinations was assessed for each population using the Fisher’s exact test implemented by the online version (3.1c, http://wbiomed.curtin.edu.au/genepop/) of GENEPOP (Raymond & Rousset, 1995). Genetic diversity within each sample was measured by the allelic richness (AR, based on 19 individuals) and gene diversity (He) using FSTAT v.2.9.3 (Goudet, 1995). The significance of any differences in AR and He among sites from Devon with those from the Itchen Valley (see Watts et al., 2004a for further details) was made by making 5000 permutations of samples among groups. The significance of any deviation from expected Hardy–Weinberg equilibrium (HWE) conditions was estimated by making 5000 permutations of alleles among individuals within samples. All permutation procedures were executed by FSTAT (Goudet, 1995). Population bottleneck. Evidence for a bottleneck within each sample was examined using BOTTLENECK v.1.2.02 software (Piry et al., 1999) to estimate (assuming populations are in mutation-drift equilibrium) the expected distribution of heterozygosity from the observed number of alleles under the infinite allele (IAM) and stepwise mutation (SMM) models of mutation. A Wilcoxon signed-rank test was used to test whether a sample had a significant heterozygote excess (compared with that expected given the sample’s allelic diversity) that is characteristic of a decline in population size (Cornuet & Luikart, 1996; Luikart & Cornuet, 1998). Population structure. Heterogeneity of genotype frequencies among all pairs of populations was characterised using the exact test employed by FSTAT v.2.9.3 (Goudet, 1995); HWE within samples was assumed and alleles were permuted 5000 times among samples. Genetic differentiation between pairs of samples was also determined by calculating Weir and Cockerham’s (1984) estimator of Wright’s (1951) FST (y in Weir & Cockerham’s terminology) using ARLEQUIN v.2.001 (Schneider et al., 2000). The significance of the estimates of y from zero was assessed by making 1000 permutations of genotypes between populations. Hierarchical analysis of molecular variance (AMOVA) (Excoffier et al., 1992; Schneider et al., 2000) was used to simultaneously partition the contribution to genetic diversity arising from differences (i) between Aylesbeare and Colaton Raleigh, (ii) among cohorts within Aylesbeare, and (iii) among individuals within sample sites. The significance of the fixation indices was tested using 10 100 permutations. # Results As only two loci demonstrated significant linkage disequilibrium within any sample (LIST4-002 and LIST4-035 in Aylesbeare 2002, P < 0.05, k ¼ 66), all genotype data were retained for subsequent analyses. All but three sample-locus comparisons were in expected HWE conditions: LIST4-031 and LIST4-060 had a heterozygote deficit in Aylesbeare 2003 and Colaton Raleigh respectively, while there was a significant excess of heterozygotes in Aylesbeare 2003 at LIST4-042 (data not shown). Individual sample-locus data for allelic richness (AR) and expected heterozygosity (He) are presented in Table 1. Genetic diversity was similar between the two separate cohorts at Aylesbeare (He ¼ 0.26–0.28, AR ¼ 2.3) but lower than in the colony at Colaton Raleigh (He ¼ 0.44, AR ¼ 2.7); it is notable that two loci were monomorphic in the former site while all loci were polymorphic at the latter area (Table 1). Average He and AR was 0.49 and 3.5 respectively in the Itchen Valley. There was a significant difference in genetic diversity between sites from Devon and the Itchen Valley (P < 0.02 in both He and AR), with genetic diversity lower in the former region (Fig. 1a,b, see also Watts et al., 2004a). Neither cohort from Aylesbeare had a significant excess of heterozygotes (P > 0.05 for 2002 and 2003, and both IAM and SMM). The sample from Colaton Raleigh showed evidence for a bottleneck with significant heterozygote excess under the IAM (P < 0.01) but not the SMM (P ¼ 0.13). There were significant (P < 0.05, k ¼ 3) genetic differences between all samples, although these differences were greater between sites than among cohorts (Table 2). Genetic differentiation between Aylesbeare and Colaton Raleigh (y ¼ 0.25) but not among the cohorts (y ¼ 0.015) is more than an order of magnitude greater than that observed between sites within the Lower Itchen Valley Complex (average y ¼ 0.013; Watts et al., 2004a) (Table 2). By partitioning genetic variation using a nested AMOVA design, it is evident that almost all of the genetic variation occurred among individuals within sites or between Aylesbeare and Colaton Raleigh (73% and 25% respectively); less than 1% of total genetic variation among the sampled east Devon colonies could be attributed to differences between the Aylesbeare cohorts (Table 3). Discussion This paper characterises levels of genetic diversity and population differentiation within and among isolated colonies of the endangered damselfly C. mercuriale from east Devon. The site-specific pattern of genetic variation corresponds with the timing of demographic reductions: thus a recent reduction at Colaton Raleigh left a characteristic heterozygosity excess, while the older and more extensive population decline at Aylesbeare has allowed the cohorts to approach their new mutation-drift equilibrium conditions 2005 The Royal Entomological Society, Ecological Entomology, 30, 541–547 544 Phillip C. Watts et al. Table 1. Genetic diversity at 14 microsatellite loci for samples of Coenagrion mercuriale from east Devon (AYL, Aylesbeare; CRC, Colaton Raleigh). Sample size (n), expected heterozygosity (He), and allelic richness based on 19 individuals (AR) are given. Population Locus AYL 2002 (n ¼ 48) AYL 2003 (n ¼ 48) CRC 2002 (n ¼ 20) All samples (n ¼ 116) 4-002 He AR 0.294 2.000 0.061 1.784 0.471 2.000 0.275 1.999 4-023 He AR 0.279 2.413 0.385 2.396 0.466 2.000 0.377 3.234 4-024 He AR 0.322 2.924 0.371 2.648 0.142 2.000 0.278 2.722 4-030 He AR 0.154 1.986 0.221 1.999 0.482 2.000 0.286 1.999 4-031 He AR 0.237 1.999 0.101 1.925 0.409 3.000 0.249 2.408 4-034 He AR 0.504 2.000 0.474 2.000 0.329 2.000 0.436 2.000 4-035 He AR 0.711 3.989 0.633 3.396 0.427 3.000 0.590 5.100 4-037 He AR 0.000 1.000 0.000 1.000 0.358 2.000 0.119 1.806 4-042 He AR 0.476 2.000 0.502 2.000 0.326 2.000 0.435 2.000 4-060 He AR 0.213 1.998 0.269 2.395 0.500 2.000 0.327 2.168 4-062 He AR 0.000 1.000 0.000 1.000 0.638 3.000 0.213 2.656 4-063 He AR 0.237 1.999 0.102 1.930 0.553 3.000 0.297 2.517 4-066 He AR 0.041 1.792 0.042 1.648 0.240 3.000 0.108 2.207 4-067 He AR 0.428 5.174 0.446 6.208 0.799 6.899 0.558 8.236 Average He AR 0.278 2.305 0.258 2.309 0.439 2.707 0.325 2.932 (Luikart & Cornuet, 1998). Nevertheless, all colonies in east Devon are genetically less diverse than the larger C. mercuriale population in the Itchen Valley (Fig. 1a,b). Genetic diversity is associated with population viability (Saccheri et al., 1998; Madsen et al., 1999; Bijlsma et al., 2000) and the evolutionary potential of a species to respond to environmental change (Reed & Frankham, 2003; Schmitt & Hewitt, 2004). However, there is some controversy about the relative importance of genetic variation for the persistence of species/populations because other factors are thought to be more prevalent in driving extinctions (e.g. habitat loss, pollution or invasive organisms). Certainly the present habitat restoration at Aylesbeare has led to population enlargement (Kerry, 2001); however, given Spielman et al.’s (2004) # suggestion that low genetic variability does impact upon a species before it goes extinct, future management of C. mercuriale in Devon should perhaps consider genetic augmentation. The number of individuals that should be transferred is unclear. For example, just a few individuals may have a large impact on improving the viability of vertebrate populations (Madsen et al., 1999). It may seem reasonable to assume that a larger sample should be transferred to counteract stochastic effects in demographically unstable insect populations; however, there are not enough data to make general recommendations for insect populations at present. In addition, before any managed transfer of individuals is undertaken the genetic and ecological exchangeability among populations needs to be considered (Crandall et al., 2000). 2005 The Royal Entomological Society, Ecological Entomology, 30, 541–547 Spatio-temporal genetic variation in a rare odonate 545 Table 2. Genetic differentiation among samples of Coenagrion mercuriale from east Devon (AYL, Aylesbeare; CRC, Colaton Raleigh). Exact probability of genotypic differentiation between samples (above diagonal) and pairwise estimates of genetic differentiation (y) (below diagonal) are given. (a) 0.6 AYL 2002 AYL 2003 CRC 2002 Gene diversity (He) 0.5 0.3 0.1 (b) 5.0 4.0 Allelic richness (AR) AYL 2003 CRC 2002 – 0.0142* 0.2512* 0.0333* – 0.2556* 0.01667* 0.01667* – *Significant (P < 0.05, k ¼ 3) genetic difference between populations. 0.4 0.2 3.0 2.0 East Devon Itchen Valley (lower) Itchen Valley (mid) Itchen Valley (lower) Allington Manor West Horton Colaton Raleigh Common Aylesbeare (2003) Aylesbeare (2002) 1.0 Itchen Valley Fig. 1. Variation (mean 95% CI) in (a) gene diversity (He) and (b) allelic richness (AR) for colonies of Coenagrion mercuriale from east Devon and the Itchen Valley, Hampshire, U.K. # AYL 2002 Strong genetic differentiation between Aylesbeare and Colaton Raleigh (Table 2), much greater than that between equivalently distant sites within the southern Itchen Valley (Watts et al., 2004a), indicates that contemporary migration between sites is negligible. This is concordant with our understanding of C. mercuriale’s dispersal ability as the distance between Aylesbeare and Colaton Raleigh is almost twice the maximum movement made by marked adult C. mercuriale (Watts et al., 2004a) and the sites are presently separated by inhospitable habitat (farmland, roads). It is likely that there was historical gene flow between Colaton Raleigh and Aylesbeare because they mostly differ in their allele frequencies rather than having different alleles (data not shown). From a conservation standpoint we need to understand whether localised variation at neutral genetic markers reflects adaptive divergence. Certainly the genomic architecture of insects can evolve rapidly in small and/or fragmented habitats (Singer & Thomas, 1996; Van Dyck & Matthysen, 1999; Kuussaari et al., 2000) and a reduced tendency for dispersal has been observed in an isolated C. mercuriale colony (Watts et al., 2004a). Coenagrion mercuriale does have specific habitat requirements (Purse et al., 2003) but neither the genetic basis of this species’ response to changing environmental conditions nor the extent of relevant environmental differences among sites are understood at present. The latter point is important because local specialisation depends not only upon spatial genetic structuring but also the strength of local selection (Slatkin, 1985). Because the east Devon habitats are broadly similar, both are basic flush systems dominated by Schoenus nigricans (Kerry, 1994), they are probably ecologically comparable; these sites are considered genetically exchangeable because the genetic differences are more easily explained by genetic drift in small populations (see also Hedrick, 1999; Hedrick et al., 2001) than directional selection. Therefore, the recommendation here is to treat the east Devon sites as a single network that would benefit from improved connectivity to reduce individual site extinction risk (e.g. see Newman & Tallmon, 2001) and possibly also by a transfer of individuals from other heathland areas in the U.K., the most appropriate of which would be the New Forest heaths. Given the emerging pattern of localised genetic differentiation in this species (Watts et al., 2004a and Tables 2 and 2005 The Royal Entomological Society, Ecological Entomology, 30, 541–547 546 Phillip C. Watts et al. Table 3. Hierarchical analysis of molecular variation (AMOVA) of microsatellite loci among samples of Coenagrion mercuriale from east Devon. P, probability of a more extreme variance component than that observed. Source of variation d.f. SS Variance components % variation Fixation index P Among sites Among cohorts Within populations 1 1 229 50.187 4.292 459.892 0.710 0.024 2.008 25.89 0.87 73.24 0.268 0.012 0.259 0.000 0.003 0.000 3 in the present study), significant genetic differences would be expected to accumulate rapidly between cohorts if they were reproductively isolated. Similar to results obtained for populations of the plectopterans Pteronarcys proteus and Peltoperla tarteri (White, 1989; Schultheis et al., 2002) and the lepidopteran Xestia tecta (Kankare et al. 2002), low levels of genetic differences were present between alternate-year cohorts. There are two alternate hypotheses to explain this pattern: (i) the cohorts are separate but have had insufficient time to diverge since they split from a common, ancestral lineage and (ii) the cohorts are coupled by contemporary gene flow. The latter hypothesis is presently favoured for two reasons. First, allele frequencies among the local east Devon populations have rapidly drifted apart while genetic differences between cohorts remained relatively small during the same period. Second, developmental plasticity is a common feature of many insect species (e.g. Nylin & Gotthard, 1998), including voltinism in odonates (Thielen, 1992; Corbet, 1999). The relatively cool temperatures experienced by C. mercuriale in the U.K. (at the northern limit of its range) most likely lead to larvae postponing their development to 3 years and recruiting to a different cohort. Inter-cohort migration presumably prevents a difference in genetic diversity accumulating between cohorts of contrasting sizes (see Kerry, 2001). These results indicate that larval development is not fixed even in natural habitats and to our knowledge the presence of multiple developmental pathways within the same population is a biological feature that has not been considered for the management of this species or indeed any odonate species. To conclude, this study lends further support to the growing body of evidence that C. mercuriale populations are liable to accumulate localised genetic differences through poor dispersal and drift in small populations. Severe population decline at Aylesbeare and Colaton Raleigh has led to a loss of genetic diversity suggesting that the colonies would benefit from improved connectivity between sites. Although the populations are recovering, a managed transfer of individuals from other heathland areas may further improve growth rates. 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