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Division for Environmental Sciences Department of Biology LICENTIATE THESIS Karlstad University Studies 2005:55 Amra Hadzihalilovic-Numanovic Genetic Variation and Relatedness of Freshwater Pearl Mussel Margaritifera margaritifera L. Populations

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Karlstad University StudiesISSN 1403-8099

ISBN 91-7063-027-5

Division for Environmental SciencesDepartment of Biology

LICENTIATE THESIS

Karlstad University Studies2005:55

Amra Hadzihalilovic-Numanovic

Genetic Variation and Relatedness

of Freshwater Pearl Mussel

Margaritifera margaritifera

L. Populations

Genetic Variation and Relatedness ofFreshwater Pearl Mussel Margaritifera

margaritifera L. Populations

The two papers presented in this thesis focus on the population genetics of freshwater pearl mussel populations in Sweden, using RAPD-PCR method. Specifically, I stud-ied genetic variation within and between 5 populations in a single drainage area in south-western Sweden. This study was followed by an investigation of evolutionary relationships and genetic variation of 14 populations of freshwater pearl mussel from different drainage areas in south-central Sweden. In both studies, I found that genetic variation was larger than reported from previous studies using other techniques, and that variation was larger between than within populations. I did not found any correla-tion between geographic and genetic distance, which indicates that mussel populations have adapted to local environmental conditions in a relatively short time. I also found that genetic distance between populations from a single drainage area was greater than found in other studies, despite small geographic distances. When comparing populations from multiple drainage areas, I found that populations were highly dif-ferentiated, indicating little gene flow between them. There was no significant positive relation between genetic variation and population size or age structure but there was a significant positive relation between mean age and population size, indicating that many populations have gone through bottlenecks recently.

Karlstad University Studies

2005:55

Amra Hadzihalilovic-Numanovic

Genetic Variation and Relatedness

of Freshwater Pearl Mussel

Margaritifera margaritifera

L. Populations

Amra Hadzihalilovic-Numanovic. Genetic Variation and Relatedness of Freshwater Pearl Mussel Margaritifera margaritifera L. Populations.

Licentiate thesis

Karlstad University Studies 2005:55ISSN 1403-8099ISBN 91-7063-027-5

© The author

Distribution:Karlstad UniversityDivision for Environmental SciencesDepartment of BiologySE-651 88 KARLSTAD SWEDEN+46 54-700 10 00

www.kau.se

Printed at: Universitetstryckeriet, Karlstad 2005

Abstract

The two papers presented in this thesis focus on the population genetics of

freshwater pearl mussel populations in Sweden, using the RAPD-PCR method.

Specifically, I studied genetic variation within and between 5 populations in a

single drainage area in south-western Sweden. This study was followed by an

investigation of evolutionary relationships and genetic variation of 14

populations of freshwater pearl mussel from different drainage areas in south-

central Sweden. In both studies, I found that genetic variation was larger than

reported from previous studies using other techniques, and that variation was

larger between than within populations. I did not found any correlation

between geographic and genetic distance, which indicates that mussel

populations have adapted to local environmental conditions in a relatively short

time. I also found that genetic distance between populations from a single

drainage area was greater than found in other studies, despite small geographic

distances. When comparing populations from multiple drainage areas, I found

that populations were highly differentiated, indicating little gene flow between

them. There was no significant positive relation between genetic variation and

population size or age structure but there was a significant positive relation

between mean age and population size, indicating that many populations have

gone through bottlenecks recently.

Contents Publications 3 Introduction 4 Objectives 6 Material and methods 6 Summary of results 9 Discussion 13 References 16 Acknowledgments 20

Publications

This thesis is based on the following papers which are referred to by their

Roman numerals.

I Hadzihalilovic-Numanovic, A. and Arvidsson, B.L. 2005. Genetic variation

in freshwater pearl mussel (Margaritifera margaritifera) populations in south-

western Sweden. Manuscript.

II Hadzihalilovic-Numanovic, A., Arvidsson, B.L., Österling, E.M. and

Hultman J. 2005. Genetic variability in populations of freshwater pearl mussels

(Margaritifera margaritifera) in relation to population size, age structure and

isolation. Manuscript.

3

Introduction

Freshwater pearl mussels Margaritifera margaritifera L. are members of the class

Bivalvia within the phylum Mollusca. They belong to the order Unionida and

family Margaritiferidae. The genus Margaritifera was first described by

Schumacher in 1816 (Mya margaritifera L. 1758 = Margaritifera margaritifera).

However, the taxonomy of the genus Margaritifera is still unclear and, therefore

also the number of living species within the genus (Araujo and Ramos 2001).

Fossil margaritiferids have been recorded from Cretaceous and Jurassic periods

in North America, Europe and East Asia (Starabogatov 1970). The anatomy of

margaritiferida also suggests this to be one of the oldest families amongst the

Mollusca. During the ice ages, populations may have been restricted to more

southerly refuges in Europe. It is likely that repopulation occurred in Europe

after the end of the last ice age (Purser 1988). Freshwater pearl mussels live on

both sides of the Atlantic in clean streams and rivers with low levels of calcium

carbonate, little organic matter in the substrata and with healthy native

salmonid populations. Population numbers are declining in all countries. The

species is nearly extinct in many areas and only undisturbed river basins

maintain populations with important juvenile recruitment (Araujo and Ramos

2001).

Most freshwater mussels share a complex life cycle because they require a fish

host during their larval stage. The millions of larva, called glochidium, normally

attach to the fish’s gills, where they encapsulate and spend several weeks

completing their development until they metamorphose to a benthic juvenile

(Reutter et al. 2001). The only way mussels can disperse is through their hosts

and information on the relationship between the mussels and their hosts is

therefore essential in any attempt to protect endangered freshwater mussels.

The freshwater pearl mussel is typically dioeciously, in common with other

freshwater bivalves. Sexual maturation occurs between seven and 15 years of

4

age (Young and Williams 1984 a), and the fertile period is continued up to 80

years (Bauer 1992). It is perhaps the longest-lived freshwater animal and the

specie’s life span is between 30 and 167 years (Hastie et al. 2000).

During this century, freshwater pearl mussels have been extirpated from many

regions of central Europe (Buddensiek 1995), and are now being studied in

many countries. Understanding of their ecology, behavior, and genetics are

crucial in order to develop appropriate conservation strategies. According to

Bogan (1993), the reasons for the decline of populations include habitat

alteration and destruction, decline and extinction of fish host populations,

commercial exploitation and introduction of alien species. Mussels are

extremely important to freshwater communities and their disappearance may be

an indication of deteriorating water and environmental quality (Reutter et al.

2001).

Efforts to protect endangered species often entail collecting information on the

distribution and maintenance of genetic variation. Populations that have

recently undergone large decreases in size are expected to lose genetic variation,

which may have important consequences for the long-term viability of a

population. The more variation, the better the chance that at least some of the

individuals will produce offspring that in turn reproduce, thereby propagating

the population. Conservation of the genetic diversity is a fundamental concern

in conservation and evolutionary biology (Montgomery 2000). One reason for

the lack of recruitment in many populations of freshwater pearl mussel may be

reduced genetic variation, which is correlated with small effective population

size (Hedrick 2000).

5

Objectives

This thesis focuses on population genetics of freshwater pearl mussels in

different populations in Sweden. In paper I, the objective was to assess levels of

genetic diversity within and between five populations of freshwater pearl

mussels in one drainage area in south-western Sweden. I predicted that genetic

variation would be larger between than within populations and also that

geographically close populations would be more genetically similar. In paper II

the main purpose was to examine genetic relationships between 14 populations

of the freshwater pearl mussel in south-central Sweden and to examine how

genetic variation was related to population size, age structure and isolation. I

hypothesize that large populations should be more genetically variable, that

genetic variation in populations with very high or low mean age should be less

variable, and that genetic differentiation should be positively related to

geographic distance.

Material and methods

Sample collections, population parameters and DNA extraction

In paper I, two whole mussels and biopsies from another 18 mussels were

taken in May 1998 in five streams from the Byälven drainage area in south-

western Sweden (localities given in abbreviation due to risk of illegal fishing).

Individuals used in paper II were collected from 14 streams in south central

Sweden during summer 1998 (5 populations, see above) and 2004 (9

populations, 15 individuals from each), and preserved in 70% ethanol. The age

structure of populations investigated in 1998 was based on 38 length measured

individuals and the average age-length curve for all 9 populations measured in

2004 (Karlsson 2004). An age-length curve, based on length of the shell

6

ligament (Hendelberg 1960) was constructed for each population (Karlsson

2004). Subsequently, the length of at least 250 individuals was measured in

selected sampling plots in the field in 2004, and used to determine the age

structure of each population. Population sizes were obtained from censuses

conducted by the county authorities, using a standardized method (Eriksson et

al. 1998). Estimated population sizes varied between 1500 and 54 000 mussels,

and the age structure varied highly between populations. The geographic

distances between populations was measured on maps by connecting streams

with the shortest possible water route for dispersing host fish.

In both paper I and II DNA was extracted from approximately 25 mg of foot

tissue, following the NucleoSpin C+T protocol for the isolation of genomic

DNA from cells and tissue (Macherey-Nagel). The DNA was then quantified

and stored at –20 C for up to 6 months, and thawed at room temperature

immediately prior to running RAPD-PCR.

RAPD-PCR analysis and electrophoresis

PCR reactions were performed in a PTC-100 thermocycler (Programmable

Thermal Controller, MJ Research, Inc.), using Operon primers (Operon

Technologies Inc.). Twenty Operon set-C, P and A were evaluated. Sixty

primers were arbitrarily used and tested on approximately twenty individuals to

determine which primers generate clear bands. Of these, in the paper I was

chosen five (OPA 18, OPC13, OPC 14, OPP 12 AND OPV 10) and in the

paper II three were chosen (OPC13, OPC14 and OPV 10). Each amplification

reaction was performed using a single primer and repeated at least once to

verify band autosimilarity and repeatability (Perez et al. 1998).

Amplification products were then separated by gel elektrophoresis. Five µl of

the PCR products was run on 2 % agarose gel stained with ethidium bromide.

7

After electrophoresis the gels were viewed under a UV trans-illuminator and

then photographed using black and white film. Gels were scored using a Gel

Pro Analyzer.

Data analyses

Due to failure to obtain high-quality DNA from more than 10 individuals in

one of the Byälven drainage area populations, only 10 randomly selected

individuals from each of the other populations were included to ensure equal

sample size in the analyses. Each band in the RAPDs profiles was treated as an

independent locus with two alleles, presence or absence of a band (Lynch and

Milligan 1994). Amplification products were scored manually, 1 for presence

and 0 for absence of homologous bands. Since RAPD markers are dominant,

we assumed that each band represented the phenotype at a single bi-allelic locus

(Williams et al. 1990). Relationships among RAPD phenotypes were studied

following the recommendations of Lynch and Milligan (1994).

Population genetic parameters such as expected heterozygosities (or gene

diversity), genetic differentiation, and genetic distance were calculated using

corrections for bias in estimating the allele frequencies. Genetic diversity was

also measured as the percentage of polymorphic bands. The percentage of

polymorphic RAPD loci was calculated for each individual, each population, as

well as the mean and overall value for all populations and each primer.

RAPD marker frequencies were used to calculate the within population gene

diversities (Hs), the total gene diversity (Ht) and the coefficient of genetic

differentiation among populations (Gst) according to the formula by Nei

(1978). The unbiased genetic identity and the genetic distance were estimated

according to Nei (1978).

8

The gene flow between populations was calculated from the estimated Gst

values (Slatkin and Barton, 1989). Cluster analysis was performed using Nei’s

(1978) genetic distance based on the unweighted pair group method with an

arithmetic mean metric (UPGMA). All the above analyses were performed

using POP GENE software (Vers. 1.32, http:/www.ualberta.ca/~fueh/

download.htm). The relation between genetic variability and population

parameters was analyzed by parametric correlation (Pearson correlation), and

the relation between geographic and genetic distance was analyzed by Mantel

test. All analyses were done in SAS (version 9.1).

Summary of results

Paper I

The 50 mussels comprised 49 different phenotypes. No RAPD fragments were

found to be unique to a particular population. Primers produced 5 to 13

polymorphic bands per primer and a total of 47 polymorphic bands across all

50 samples. The number of polymorphic bands displayed per population

ranged from 27 to 34. Most of these bands (82.5 %) were polymorphic among

populations.

Total genetic diversity varied between populations, ranging from 0.15 to 0.21,

with an overall level of 0.23 for all individuals. Mean gene diversity within

populations was 0.18. Most of the genetic variation was found to be between

populations rather than within populations. Average estimates of genetically

effective immigration (Nm) were 1.9. All populations received more than one

immigrant per generation. The mean genetic identity between populations was

94%. A hierarchical cluster analysis of evolutionary relationships among the five

populations indicated that population B and D were the most closely

associated, whereas population E was somewhat more distant (Fig. 1a).

9

Population A was the most genetically distinct population. There was no

relation between geographic and genetic distance (Fig. 1b).

Figure 1. Genetic distance (a) measured by cluster analysis according to Nei

(1978) and geographic location (b) of freshwater pearl mussel populations in

south-western Sweden.

10

Paper II

All primers produced 100 % polymorphic bands. From the 140 mussels, 133

different RAPD phenotypes were produced. Allele frequencies varied

significantly across populations for all but 6 alleles. Only three unique bands

were found, all in Bratteforsån. The number of polymorphic loci displayed per

population ranged from 11 to 33, and the percentage of polymorphic bands

varied from 28 in Billan to 85 % in Bratteforsån, with an average of 50 % for all

populations. The mean gene diversity for individual populations ranged

between 0.11 and 0.25, with a mean value across populations of 0.17. The

overall gene diversity for all individuals was 0.30. Mean genetic differentiation

across all populations was 0.43, ranging between 0.06 and 1.00 for individual

loci. Genetic differentiation between pairs of populations varied from 0.06 to

0.46.

Genetic diversity increased with population size but this relation was not

significant. Assuming stationary populations, no relationship between

population size and age variation was expected, but there was a highly

significant correlation between mean age and population size (Fig. 2).

0

10

20

30

40

50

60

70

2.5 3 3.5 4 4.5 5

Population Size (log)

Mea

n Age

Figure 2. Relationship between mean age and population size (log) in 14

freshwater pearl mussel populations in south central Sweden (Pearson r = 0.78,

p = 0.0007).

11

There was also a marginally non-significant correlation between gene diversity

and mean age (p = 0.07).

The lowest mean value of D was between Billan and Dalsälven (0.01). This

result shows that the populations in Billan and Dalsälven are closely related.

The highest D-values (0.33) were between Torgilsrudsälven and Rällsälven, and

Teåkersälven, respectively. Evolutionary relationships among the 14

populations explored by a hierarchical cluster analysis also showed that

populations Billan and Dalsälven were the most closely associated (Fig. 3).

Figure 3. Genetic relationship between 14 populations of freshwater pearl

mussel in south-central Sweden.

12

The mean genetic distance between individuals for all populations was 0.18.

The estimated number of migrants per generation between populations (Nm)

varied highly between populations. Immigration rate varied between 7.55

individual per generation between Billan and Dalsälven, and 0.55 individuals

per generation between Älgån and Teåkersälven, with an average genetically

effective immigration rate of 0.65. The geographic distance varied from 4.5 km

to 1487 km. A Mantel test showed no significant correlation between genetic

and geographic distances or between the number of immigrants and geographic

distance.

Discussion

Genetic variation

In both papers I and II, we found that genetic variation was larger between

populations than within populations, indicating that freshwater pearl mussel

populations are highly structured today despite high gene flow between 5

populations from Byälven drainage (paper I). However, indirect measures of

gene flow are mean values of the number immigrants from the founding event

of the population. Gene flow estimates therefore contain information that is

relevant to the history of species rather than reveal present gene flow (Bohonak

1999). The gene diversity for all individuals and the percentage of polymorphic

bands in this study are higher than reported in earlier studies of the freshwater

pearl mussel and other threatened mussels (Machodrom 2003, Curole 2004).

The average genetic distance (paper I) among freshwater pearl mussel was

greater in our study, than in previous studies, despite quite small geographic

distances (Chesney et al. 1993, Machodrom 2003). The geographically closest

populations were not the most genetically similar as we had predicted. One

important assumption underlying this prediction is that all populations were

founded after the last glacial period by host fish that originated from a single

lineage (but see Garcia-Martin 1999). In paper II we found a relatively high

13

genetic similarity among geographically separated populations which suggests

that there may be a complicated postglacial history of the populations, with

temporal connections between different drainage systems when the brown

trout colonized the area

Population parameters

Though decreasing populations are expected to lose genetic variation

(Montgomery et al. 2000, Frankham 1996), we did not find any significant

relationship between population size and genetic variation. A positive

relationship is expected to be found with effective population size rather than

the observed population size. Because age-structure varies in our populations,

the effective size may not be correlated with the observed size and this may

explain the lack of a significant relationship when sample size is small. The lack

of a correlation may also be caused by differences in genetic variation found

immediately after settlement after the glacial period if several lineages of brown

trout colonized south-central Sweden (Garcia-Martin 1999). We found a

significant correlation between population size and average age of the

population. One possible explanation could be that populations with a low

average age might have gone through a bottleneck, and are presently increasing.

We also predicted a positive correlation between average age and genetic

variation but this relation was however not quite significant.

Future management

Knowledge about the ecology and habitat requirements, adaptive differences

between populations and genetic variability in individuals and populations are

necessary to develop conservation strategies for the endangered freshwater

pearl mussel. Many freshwater pearl mussel populations have disappeared and

the remaining populations are regarded as decreasing. In most cases the causes

are not known and further studies are needed. Several studies suggest that the

14

survival rates of freshwater pearl mussels during the early post-parasitic phase

are probably crucial and the key issue linked with lack of juvenile recruitment in

most populations (Buddensiek 1995). During their long post-parasitic phase,

pearl mussels depend on a well-oxygenated and stable substrate. Thus, the best

strategy for managing the mussels should probably focus on protecting the

breeding adults and restoring the juvenile habitat (Cosgrove and Hastie 2001).

It is also necessary to restore spawning grounds for brown trout, the host of the

mussel. Releasing artificially infected host fish is a widely accepted strategy

(Bauer 1988). Transplantation of mussels from river to river has been

conducted but is relatively unsuccessful. Translocation should be seen as a last

resort and not first option for river managers (Cosgrove and Hastie 2001).The

implication of this is that introducing new individuals may not be successful in

the long term. Actions should be concentrated on maintaining and enhancing

all current populations. Restocking of salmonids from stocks not originating in

the catchments into which they are released can also be very detrimental, since

the introduced stocks can prove unsuitable for glochidial attachment (Young

and Williams 1984 b). This possibility may only work in rivers where the fish

can live and reproduce without problems (Araujo and Ramos 2001). The best

method is the reintroduction and maintenance of stocks of natural fish hosts in

its former habitat.

15

References

Araujo, R. and Ramos, A. (2001). Action plan for Margaritifera margaritifera.

Council of Europe. T-PVS (2000) 10. Strasbourg, 38 pp.

Bauer, G. (1988). Threats to the freshwater pearl mussel (Margaritifera

margaritifera) in central Europe. Biological Conservation 45, 239-252.

Bauer, G. (1992). Variation in the life span and size of the Freshwater Pearl

Mussel. Journal of Animal Ecology 61, 425-436.

Bogan, A.E. (1993).Freshwater bivalve extinctions (Mollusca: Unionida): a

search for causes. American Zoologist 33, 599-609.

Bohonak, A.J. (1999). Dispersal, gene flow and population structure. Quarterly

Review of Biology 74, 21-45

Buddensiek, V. (1995). The culture of juvenile freshwater pearl mussels

Margaritifera margaritifera L. in cages: A contribution to conservation

programmes and the knowledge of habitat requirements. Biological

Conservation 74, 35-40.

Chesney, H.C.G., Oliver, P.G. and Davis, G.M. (1993). Margaritifera durrovensis

Phillips, 1928: Taxonomic status, ecology and conservation. Journal of

Conchology 34, 267-299.

Cosgrove, P.J. and Hastie, L.C. (2001) Conservation of threatened freshwater

pearl mussel populations: river management, mussel translocation and conflict

resolution. Biological Conservation 99, 183-190.

16

Curole, J.P., Foltz, D.W. and Brown, K.M. (2004) Extensive allozyme

monomorphism in a threatened species of freshwater mussel, Margaritifera

hembeli Conrad (Bivalvia: Margaritiferidae). Conservation Genetic 5, 271-278.

Eriksson, M., Henriksson, L. and Söderberg, H. (1998). Flodpärlmusslan i

Sverige. Naturvårdsverket, Stockholm. Rapport 4887. (In swedish with english

summary).

Frankham, R. (1996). Relationship of genetic variation to population size in

wildlife. Conservation Biology 10, 1500-1508.

Garcia-Martin, J.-L., Utter, F.M. and Pla, C. 1999. Postglacial colonization of

brown trout in Europe based on distribution of allozyme variants. Heredity 82:

46-56.

Hastie, L.C., Young, M.R., Boon, P.J., Cosgrove, P.J. and Henninger, B. (2000).

Sizes, densities and age structures of Scottish Margaritifera margaritifera (L.)

populations. Aquatic conservations: Marine and Freshwater Ecosystems 10,

229-247.

Hedrick, P.W. (2000). Genetics of populations. Jones & Bartlett, Boston.

Hendelberg, J. (1960). The freshwater pearl mussel Margaritifera margaritifera

(L.). Report Inst. Freshwater Research Drottingholm. 41: 149-171.

Karlsson, J. (2004). Age determination, growth rate and age structure of

freshwater pearl mussel (Margaritifera margaritifera) in Västra Götaland and

Örebro Counties. Honorary M.Sc Thesis, Karlstad University.

17

Lynch, M. and Milligan, B.G. (1994) Analysis of population genetic structure

with Rapd markers. Molecular Ecology 3, 91-99.

Marchordom, A., Araujo, R., Erpenbeck, D. and Ramos, M.A. (2003)

Phylogeography and conservation genetics of the endangered European

Margaritiferidae (Bivalvia: Unionidae).Biology Journal of the Linnean Society,

78, 235-252.

Montgomery, M.E., Woodworth, L.M., Nurthen, R.K., Gilligan, D.M., Briscoe,

D.A. and Frankham, R. (2000) Relationships between population size and loss

of genetic diversity:comparisons of experimental results with theoretical

predictions. Conservation Genetics 1, 33-43.

Nei, M. (1978). Estimation of average heterozygosity and genetic distance from

a small number of individuals. Genetics 89, 583-590

Perez, T., Albornoz, J. and Dominguez. A. (1998). An evaluation of RAPD

fragment reproducibility and nature. Molecular ecology 7, 1347-1357.

Purser GJ (1988). Factors affecting the distribution of the freshwater pearl

mussel (Margaritifera margaritifera) (L)) in Britain. Unpublished PhD Thesis,

University of Aberdeen.

Reutter, D.S., Patrick, F. and Charters, D.A. (2001) Enviromental

considerations for construction of bridges and protected freshwater mussel

species, a case study. ICOET 2001 Procedings, pp 46-50.

Slatkin, M. and Barton, N. (1989). A comparison of the three indirect methods

for estimating average levels of gene flow. Evolution 43, 1349-1368

18

Starobogatov, Y.A. (1970). Fauna of mollusks and zoogeography of continental

water bodies. 372 pp.Nauka, Leningrad. (In Russian).

Young, M. and Williams, J. (1984a). The reproductive biology of the freshwater

pearl mussel Margaritifera margaritifera (Linn.) in Scotland. I. Field studies. Archiv

fur Hydrobiologie 99, 405-422.

Young, M. and Williams, J. (1984b). The reproductive biology of the freshwater

pearl mussel Margaritifera margaritifera (Linn.) in Scotland. II. Laboratory studies.

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19

Acknowledgements

There are many people to thank for encouraging me to finish this thesis. I

would like to give special thanks to Birgitta McEwan for supporting my efforts

to begin this study. To Prof. Larry Greenberg for critically reading the

manuscript in various stages of completion and giving valuable comments. To

Jan Nilsson for manuscript reading and good advice. To Martin Österling and

Jens Hultman for collecting mussels used in analyses and for giving me

information on age structures. I would also thank all my colleagues at the

biology department.

Of course, most thanks to my supervisor, Björn Arvidsson, for always taking

time and for helping me in many ways to finish this thesis. All my friends (you

know who you are!) for supporting me. Last but not least I would like to thank

my family, Mensur, Amar and Kerim, for putting up with me…

20

Karlstad University StudiesISSN 1403-8099

ISBN 91-7063-027-5

Division for Environmental SciencesDepartment of Biology

LICENTIATE THESIS

Karlstad University Studies2005:55

Amra Hadzihalilovic-Numanovic

Genetic Variation and Relatedness

of Freshwater Pearl Mussel

Margaritifera margaritifera

L. Populations

Genetic Variation and Relatedness ofFreshwater Pearl Mussel Margaritifera

margaritifera L. Populations

The two papers presented in this thesis focus on the population genetics of freshwater pearl mussel populations in Sweden, using RAPD-PCR method. Specifically, I stud-ied genetic variation within and between 5 populations in a single drainage area in south-western Sweden. This study was followed by an investigation of evolutionary relationships and genetic variation of 14 populations of freshwater pearl mussel from different drainage areas in south-central Sweden. In both studies, I found that genetic variation was larger than reported from previous studies using other techniques, and that variation was larger between than within populations. I did not found any correla-tion between geographic and genetic distance, which indicates that mussel populations have adapted to local environmental conditions in a relatively short time. I also found that genetic distance between populations from a single drainage area was greater than found in other studies, despite small geographic distances. When comparing populations from multiple drainage areas, I found that populations were highly dif-ferentiated, indicating little gene flow between them. There was no significant positive relation between genetic variation and population size or age structure but there was a significant positive relation between mean age and population size, indicating that many populations have gone through bottlenecks recently.