Ecological And Evolutionary Genetics Of Puffinus Spp

2y ago
12 Views
2 Downloads
6.17 MB
263 Pages
Last View : 11d ago
Last Download : 3m ago
Upload by : Aydin Oneil
Transcription

Ecological and EvolutionaryGenetics of Puffinus spp.Jeremy James Austin, BSc. (Hons.)Submitted in fulfllment of the requirements for the degree of Doctor of Philosophy,University of Tasmania (October, 1994)

St a t e m entsI declare that this thesis contains no material which has been accepted for the award of anyother degree or diploma in any tertiary institution and, to the best of my knowledge andbelief, this thesis contains no material previously published or written by another person,except where due reference is made in the textThis thesis is not to be made available for loan or copying for two years following the datethis statement is signed. Following that time the thesis may be made available for loan andlimited copying in accordance with the Copyright Act 1968Signedf!t d4- .This thesis may be made available for loan. Copying of any part of this thesis is prohibited fortwo years from the date this statement was signed after that time limited copying is permitted inaccordance with theSignedCopyright Acy 1968.Date

Summa r yThree distinct molecular genetic techniques were applied at different levels in the evolutionaryhierarchy to investigate the reproductive ecology, population biology and systematics ofspecies in the shearwater genusshearwater, P.Puffinus, with particular emphasis on the short-tailedtenuirostris, or Tasmanian muttonbird.Genetic relationships between mated pairs of adult short-tailed shearwaters and the singleoffspring in the nest were analysed by multilocus DNA fingerprinting. The human polycoreminisatellite probe, 33.6, revealed sufficient variation in shearwater DNA to allow individual specific identification. In addition this probe hybridised to a large minisatellite restriction fragment derived from the female W chromosome, which allowed the identification of sex ofadults and nestlings in this sexually monomorphic species. Analysis of DNA fingerprintprofiles from 107 nestlings and one or both of the attendant adults in each case, in twoindependent studies, revealed 13 cases where a nestling was not related to one of theattendant adults. Although four of these unrelated adults could be accounted for by samplingerrors, the remaining nine cases all involved the male in each nest and were more likely tohave resulted from extra-pair copulations involving the attendant female and an unknown,extra-pair male. These results suggest that although short-tailed shearwaters exhibit strongpair fidelity and social monogamy, some birds are engaging inan alternative mating strategythat may substantially enhance both male and female reproductive success. Future estimatesof life-time reproductive success in this species will have to allow for the small percentage ofpaired males thatareunrelated to the nestlings that they are providing care for.Restriction enzyme analysis of mitochondrial DNA (mtDNA) was used to examine mtDK-\variation among 335 short-tailed shearwaters from 11 breeding colonies across southeasternAustralia, and assess population genetic structure as a genetic test of the observed stri.:tbreeding and natal philopatry exhibited by this species. Eleven 6/5.33-base and four 4-bascrestriction enzymes revealed 25 and 48 mtDNA haplotypes in two overlapping surveys of215 individuals from seven colonies and 231 individuals from eight colonies, respectively·. :\.low mean sequence diversity among individuals (0.247%) and lack of spatial structuring :fmtDNA haplotypes suggests a lack of population genetic structure and a reduced ance:sr.:-.:.111

Summarypopulation size during the Pleistocene glaciation, followed by a population and rangeexpansion to current levels. Intracolony mtDNA diversities in three recently establishedcolonies, and in one colony that has experienced a recent bottleneck were comparable tomtDNA diversities within larger and older colonies. This suggests that, despite strictphilopatry in those colonies, colony founding and recovery from population reduction occursvia immigration of a large number of individuals.Phylogenetic relationships among 19 extant species and subspecies within the genusPuffinus were examined using partial sequences from the mitochondrial cytochrome b gene.Nucleotide variation in a 307 bp fragment of this gene was sufficient to distinguish all taxa,except in one case, and contained phylogenetic information to resolve both shallow and deepphylogenetic relationships. Phylogenetic analysis of these sequences revealed a deepphylogenetic split amongst Puffinus species with one clade containing the larger, less aquaticand highly migratory Southern Hemisphere species and the second the smaller, more aquatic,less migratory and more northerly distributed forms. Within each clade, several currentlyrecognised taxonomic subgroups were resolved, which have evolved via a polytomous orrapid series of speciations from a Southern Hemisphere or North Atlantic ancestor.Secondary dispersal has seen representatives of the second clade distributed widelythroughout the major ocean basins. The phylogenetic hypothesis based on molecular data isgenerally concordant with trees based on morphological characters. Lack of congruencebetween the morphological and molecular trees and unexpected phylogenetic relationshipsamong taxa were explained by introgressive hybridisation between two taxa or lineage sortingfrom a recent common ancestor, an error in one morphological tree, and a more parsimoniousinterpretation of a prevous evolutionary scenario for the genus. The phylogenetic resultssuggest a taxonomic revision of the subgroup Neonectris, which currently is a paraphyleticgroup, and supports previous suggestions that the two Mediterranean subspecies of the 1a.:1xshearwater,P. puffinus. yelkouan and P. p. mauretanicus should be elevated to the level ofspecies and separate from the Atlantic form,illP. p. puffinus.

Ackn o wl e d g e m en t sI extend my sincere thanks to my supervisor, Robert White, who provided the considerablelogistical and academic support and encouragement needed to see this project to a conclusion.Thankyou to Jenny Ovenden for her role in initiating the project and constructive criticism ofthe population genetic component of the manuscript.I am extremely grateful to Dr David Parkin and the Genetics Department at the University ofNottingham, UK, who generously provided space, facilities and support during my twovisits there. Special thanks to Roy Carter, Jamie Darwin, Rob Dawson, Celia May and JonWetton for practical assistance with all things DNA.I thank the following people who either assisted with collection of samples, collected sampleson my behalf or provided samples from their own collections: Greg Austin; Lisa Ballance(SW Fisheries Science Center, USA); J. A. Bartle and Noel Hyde (National Art Gallery andMuseum, New Zealand); Walter Boles (Australian Museum); Mike Bingham (FalklandsConservation, Falklands Islands); Mike Crowley; Charles Daugherty (Victoria University,New Zealand); Rob Dawson (University of Nottingham, UK); Matt Edmunds, Tim Lamb,Mel Lorkin, Justin Walls (Zoology Department, University of Tasmania); Peter Fullagar(CSIRO Wildlife, Australia); John Gerwin and Dave Lee (North Carolina State Museum ofNatural Sciences, USA); Juan Salvador Aguilar Gonzalez and Sebastian Pons (Spain);Richard Griffiths (University of Oxford, UK); Brian Bell, M. J. Imber, Ian Millar, JaniceMolloy, Richard Parish and G.A. Taylor(Department of Conservation, New Zealand);Cameron Leary and Dean Hiscox (Lord Howe Island Board); Juan Luis Rodriguez Luengo(Viceconsejerfa de Medio Ambiente, Vivero Forestal, Tenerife, Spain); Donna O'Danicl(United States Fish and Wildlife Service, USA); Myriam Preker (Heron I sland ResearchStation, The University of Queensland, Australia); Tineke Prins (Universiteitv:mAmsterdam, Instituut voor Taxonomische ZoOlogie [ZoOlogisch Museum], The Netherl::u'1ds ;Diana Reynolds (Louisiana State University, Museum of Natural Science, USA); Betty A.rL-:e:Schreiber (Natural History Museum of Los Angeles County, U SA); Irynej Skira and ig::lBrothers (Parks, Wildlife and Heritage, Tasmania); Thomas Telfer (Hawaii Departme.:Jt .:fLand and Natural Resources, Division of Forestry and Wildlife, Hawaii); Gary Voc-lk:rlV

Acknowledgements(University of Washington, Burke Museum, USA); Carol Williams (Binalong Bay LandCare-Ocean Care) and Richard Zotier (France).My thanks to Darren Brasher, Adam Smolenski, Tom Krasnicki and Jon Waters forassistance in the lab. Wayne Kelly, Alan Dumphy, Kit Williams, Ron Mawbey, RichardHolmes, Kate Hamilton, Brenda Bick and Sherrin Bowden all supplied help along the way,for which I am grateful. Special thanks to Barry Rumbold who almost always got things hereon time. I am also grateful to the Department of Agricultural Science and the MolecularBiology Unit at the University of Tasmania for allowing me access to their equipment andlaboratory space.Special thanks must go to Irynej Skira for his assistance and advice on all things short-tailed,and to Matt Edmunds whose assistance in the field and friendship over the last three years hasbeen greatly appreciated. Thanks Matt.Collections from live birds for these studies were made under permits from the TasmanianDepartment of Parks, Wildlife and Heritage; the Queensland National Parks and W ildlifeService; the Victorian Department of Conservation and Environment; the New South WalesNational Parks and Wildlife Service; and the United States Fisheries and Wildlife Service. Allwork on animals had University of Tasmania Ethics Committee (Animal Experimentation)approval. Permission to work on Gabo Island was kindly granted by the Australian MaritimeSafety Authority.This work was funded by grants from Pasminco Metals-EZ, the University ofCanberra/Department of Employment, Education and Training (Australia), the Department ofIndustry, Technology and Commerce (Australia), the Victorian Institute of Marine Sciencesand the Australian Museum. I wish to thank all of these organisations for supporting thisresearch.Finally, I thank my family, especially Mum and Dad, who have supported and encouragedme over the years.v

Table of Contents1. General Introductio n1.1 Molecular systematics, ecology and evolution11.1.1 Introduction11.1.2 Repetitive nuclear DNA sequences31.1.3 Mitochondrial DNA111.1.4 PCR and molecular phylogenetics291.2 The shearwater genusPuffinus1.3 The short-tailed shearwater,30Puffinus tenuirostris331.3.1 Life history331.3.2 Human impact and exploitation351.4 Aims372. Molecular genetic analysis of mating systems i n the short-tailedshearwater,Puffinus tenuirostris.382.1 Introduction2.1.1 Monogamy and extra-pair copulations in birds382.1.2 Genetic markers in behavioural ecology432.1.3 Short-tailed shearwater452.1.4 Aims462.2 Methods462.2.1 Study sites462.2.2 Sampling492.2.3 DNA profiling methods502.2.4 Assignment of parentage552.2.5 Behavioural observations57572.3 Results2.3.1 Enzyme/probe selection572.3.2 Variability of DNA profiles532.3.3 Sex-specific fragmentst02.3.4 Assignment of parentage-Cape Direction 1991flVl

Contents2.3.5 Assignment of parentage-Cape Direction and68Cape Queen Elizabeth 1992/32.3.6 Behavioural observations72772.4 Discussion2.4.1 Variability of DNA profiles772.4.2 Sex-specific fragments772.4.3 Unrelated attendant adults792.4.4 Extra-pair copulations822.4.4.1 Sexual selection822.4.4.2 Opportunities for extra-pair copulations912.4.4.3 Benefits of extra-pair copulations932.4.4.4 Costs of extra-pair copulations963. Popu lation G enetic Structure of the S hort-tail e d S h earwater,Puffinustenuirostris.993.1 Introduction3.1.1 Gene flow and genetic population structure993.1.2 Phytogeography1023.1.3 Short-tailed shearwater1043.1.4 Aims1051063.2 Methods3.2.1 Sample collection1063.2.2 Extraction and purification of mtDNA1063.2.3 Restriction enzyme digestion and identification of mtDNA fragments1093.2.4 Data analysis1101153.3 Results3.3.1 6/5.33-base enzyme survey1153.3.2 4-base enzyme survey1201263.4 Discussion3.4.1 Characteristics of shearwater mtDNA1263.4.2 6/5. 33-base versus 4-base restriction enzyme data1263.4.3 Philopatry, gene flow and genetic population structure1273.4.4 Historical demographic considerations1323.4.5 Genetic population structure of a regional fauna135Vll

Contents4. Molecular Systematics of Shearwaters i n the Genus4.1 IntroductionPuffinus1374.1.1 Mitochondrial DNA and avian systematics1374.1.2 The utility of short mtDNA sequences1384.1.3 Phylogenetic inference1394.1.4 The shearwater genus Puffinus1424.1.5 Aims1544.2 Methods1554.2.1 PCR hygiene1554.2.2 Sample collection1564.2.3 DNA extraction1584.2.4 DNA amplification and sequencing methods1594.2.5 Sequence alignments and phylogenetic analyses1664.3 Results1694.3.1 DNA sequences1694.3.2 Sequence variation in the cytochromeb gene1804.3.3 Phylogenetic analyses1884.4 Discussion4.4.1 Sources of DNA for systematic studies188b gene191Puffinus shearwaters1924.4.2 Properties of shearwater cytochrome4.4.3 Genetic divergence in1761944.4.4 Phylogenetic reconstructions4.4.5 Implications for the phylogeny of4.4.6 Implications for the taxonomyPuffinusofPuffinus2GO2J35. Conclusions and General Discussion5.1 Conclusions5.2 Evolution of Puffinus shearwatersR e ferencesA p p e n di cesVlll2 l

C hapter 1General Introducti on1.1 Molecular phylogenetics: ecology and evolu tion1.1.1 IntroductionPhylogeny is evolutionary history (Avise 1994). The ultimate goal of phylogenetics is toreconstruct the true evolutionary history of a species or group of species. Evolutionaryhistory has a hierarchical nature such that individual pedigrees represent the fine-levelstructure of phylogenetic relationships between groups and populations within a species,reproductively isolated species, and phyla and other higher taxa (Fig. 1.1; Aviseet al. 1987;Maddison & Maddison 1992). A wide range of behavioural, ecological, environmental andgeological factors operating at different levels in the evolutionary hierarchy will affectphylogeny. Phylogenetic study at any level from the individual to phylum therefore requiresan understanding of evolutionary history, organismal biology and biogeography, andincorporates a broad range of problems in ecology, population and evolutionary biology, andsystematics.Phylogenetic investigations require characters that accurately reflect organismal genealogyand evolutionary history. In the last several decades, advances in the understanding of thebiochemistry of organisms and the genetic basis of inheritance have allowed for molecularlevel analyses that provide a broad range of heritable markers. These molecular markers havebeen applied to phylogenetic studies at many distinct levels in the evolutionary hierarchy toexamine genetic relatedness between individuals, genetic structure of populations and toestimate relationships among taxa (Avise 1994). Phylogenetics, at the molecular level,focuses on an organisms genome (DNA) because it is the genetic sequence of an organismthat is the ultimate record of its evolutionary history (Zuckerkandl & Pauling 1965). Geneticinformation finds expression at several different levels. At the first level, genetic informationis expressed in the sequence of DNA and RNA, at the second level in the structure of proteinmolecules, at the third in the chemical structure of cell components and products and at the1

1 General Introductionfourth level in morphology, physiology and behaviour. The most complete expression ofgenetic information and highest information content is found in the DNA molecule. Recentmolecular approaches to infer phylogenetic relationships have therefore become focused onthe DNA molecule."'CD.c: "'c:.!"2.a:.20.E"' c. ro"E"'::0.'"'. ------ "iiiEEpedigreeroEmacro-microPHYLOGENYFigure 1.1. The hierarchical nature of evolutionary history and phylogeny. From Avise etal.(1987) and Avise (1994).In addition to the unambiguously genetic, and therefore heritable, nature of molecularcharacters, there are a number of other general properties that are particularly useful inphylogenetic studies. The genome represents an almost l imitless and universal set ofmolecular characters (Avise 1994). Thus large numbers of homologous characters can becompared between a diverse array of organisms, irrespective of gross morphology.Divergence of molecular characters is approximately linearly related with divergence time2

1 General Introduction(Zuckerkandl & Pauling 1962). This has lead to the proposal of constancy of evolutionaryrates for molecular characters and a universal 'molecular clock'. Although it is now clear thatevolutionary rate is not constant both among different classes of molecular characters and, insome cases, among different organisms for the same set of characters (Nei 1987; Rand1994), assumptions of rate constancy can be made for specific molecular markers andtaxonomic groups, and they form the basis of some methods of phylogeny estimation andcalculating divergence times (Moritz & Hillis 1990). Finally, variation at the molecular levelis generally assumed to be selectively neutral or nearly neutral. The neutral theory ofevolution (Kimura 1968, 1983) has been and remains controversial but is now seen as a nullhypothesis for most phylogenetic studies (Moritz & Hillis 1987, Avise 1994). Underneutrality, molecular variation is a function of the mutation rate and random genetic drift(Kimura 1983). Estimates of phylogeny, based on neutral molecular characters, willtherefore more accurately reflect evolutionary history than characters biased by selection.In animals, molecular characters fall into three general categories: gene products (e.g.proteins), nuclear DNA, and mitochondrial DNA (mtDNA). Within each category differenttechniques target different levels of variation in the molecule involved and are applicable atdifferent levels in the evolutionary hierarchy from close familial relationships tophylogenetically distant ones. The characteristics, analysis and applicability of thesemolecular characters as applied to phylogeny have recently been reviewed by Hillis andMoritz (1990) and Avise (1994), and include immunological assays of proteins, allozymeelectrophoresis, DNA-DNA hybridisation, restriction enzyme analysis of mtDNA, single copy nuclear DNA and repetitive (satellite) nuclear DNA sequences, and DNA sequencing ofboth mitochondrial and nuclear segments. The specific molecular techniques used in thepresent study are discussed, in detail, in the following sections.1.1.2 Repetitive nuclear DNA sequencesCharacteristicsNuclear DNA is a complex arrangement of coding and non-coding regions, single copy andrepetitive elements, subdivided between a number of distinct chromosomes. A largeproportion of the nuclear genome is made up of various types of repetitive DNA sequences,many of which have no direct role in encoding phenotypes (Turneret al. 1991). Oneparticular class of repetitive DNA consists of minisatellites which are sequences of repetitive3

1 General IntroductionDNA that share a common structure, comprising multiple (up to several hundred), tandemrepeats of a short, 10-70 base pair unit (Jeffreys et al. 1985a) (Fig. 1.2). Minisatellite lociare dispersed throughout the genome, mainly on autosomal c hromosomes (Jeffreys et al.1985a) although some are sex-linked (Rabenhold et al. 1991; Millar et al. 1992; Graves etal. 1993). Minisatellites are among the most polymorphic sequences ever detected (Burke1989) resulting in multiple alleles (6-80) and high heterozygosities at individual loci. Allelicvariation is the result of differences in the number of tandem repeat units and is generated by ahigh rate of mutation to new length alleles, presumably through processes such as unequalsister-chromatid exchange or replication slippage (Jeffreys et al. 1988; Armour & Jeffreys1992) . The mutation rate increases with heterozygosity as predicted by the neutralmutation/random drift hypothesis (Jeffreys et al. 1988).AnalysisThe analysis of variation at minisatellite loci has become known as DNA fingerprinting(Jeffreys et al. 1985a) and utilises a number of basic molecular biology techniques (Fig.1.3). S ubsets of minisatellite loci share a common, highly conserved, core sequence withinthe tandem repeat unit (Fig. 1.2). Probes made up of tandem repeats of a sequencehomologous to a particular core sequence can be used to detect different, non-exclusive setsof minisatellites at single or multiple loci. Multi-locus DNA fingerprinting utilises thecommonality of the core sequence in minisatellites to assess simultaneously variation atmultiple loci. Although there are a large number of probes that have been described (Brufordet al. 1992) the four most commonly used, which have general applicability across a widerange of taxa, are: 33.6 and 33.15, which are composed of tandem repeats of variants of aGC-rich human myoglobin minisatellite core sequence (Jeffreys et al. 1985a); M13,consisting of a 2900 bp fragment from wild type bacteriophage M13 containing 2 clusters of aGC-rich 156 bp repeat (Vassart et al. 1987); and 3'HVR, a G C-rich hypervariable region 3'to the human a-globin locus (Jarman et al. 1986; Fowler e t al. 1988). S ingle-locus DNAfingerprinting sequentially assesses allelic variation at individu al minisatellite loci. Because ofthe high degree of specificity involved, single-locus probes are often species specific. Eachnew study therefore requires the isolation and characterisation of a number of these locus specific probes which has only recently become generally feasible (Burke et al. 1991).4

Core SequenceVIallelexIalleleyI-locus 1--·---c ::::J--locus 2Figure 1.2. Structure and molecular basis of variation at minisatellite loci. Minisatellites consist of multiple, tandem repeat units that share acommon core sequence. Minisatellite alleles on homologous chromosomes vary in the number of repeat units. Ministallite loci vary in the structureof the repeat unit. Adapted from Wetton (1990).,. (!) (!)""" - q&c:ne.0

Blood Sampling--------DNA ExtractionRestriction Electrophoresis0\I-II.*--I****- ******** Southern BlottingAGGGCTGGAGG"'/l T 'l'- 'l'-----'!' --- '!'-- 'i' ['!' I -'l' --,. '!'-T-:-'1'--T'I'-1AutoradiographyHybridisation32 P-Labelled Probe (33.6)""""G") '"'Ie.1-! q-Figure 1.3. The DNA fingerprinting method. DNA is extracted from blood, digested with a 4-bp restriction enzyme, separated on a size basis byelectrohporesis through an agarose gel, transferred to a nylon membrane by Southern blotting, and hybridised with a radioactively labelled probe.An autoradiograph is produced by exposure of the hybridised memebrane to X-ray film. Adapted from Wetton (1990).8. c;·

1 General IntroductionTotal genomic DNA is extracted from either blood or tissue samples taken from the targetorganism and then digested with a restriction enzyme. Restriction enzymes, isolated frombacteria, cleave double stranded DNA at specific, palindromic recognition sequences, usually4, 5 or 6 base pairs in length. Several hundred different restriction enzymes have beencharacterised and most have unique recognition sequences. The length of the recognitionsequence affects the frequency that it will occur in a DNA strand. If a DNA strand has equalproportions of the four nucleotides, and nucleotides occur at r andom, a 4-base pairrecognition sequence should occur, on average, every 44pair recognition sequence should occur every 46 256 base pairs, whereas a 6-base4096 base pairs. Variation in the numberand size of fragments produced by digestion of DNA with restriction enzymes are known asrestriction fragment length polymorphisms (RFLPs), and are the result of nucleotidesubstitutions creating or destroying recognition sequences, additions, deletions orduplications of DNA or inversions/rearrangements of DNA segments.The choice of restriction enzyme for the analysis of minisatellite variation is important it mustcut frequently enough to release restriction fragments of a size that closely reflects the size ofthe minisatellites they carry, but not cleave the minisatellite repeat sequences themselves.Restriction enzymes with 4-base recognition sequences are therefore the most commonly usedbecause of the high number of expected restriction sites in DNA sequences flanking theminisatellite. RFLPs in this case reflect the number of tandem duplications of the repeat unitin the minisatellite-containing restriction fragment. Restriction fragments are separated on asize basis by electrophoresis through an agarose gel and then transferred and fixed to a nylonmembrane by Southern blotting (Southern 1975). The filter is hybridised with a radioactivelylabelled minisatellite probe, which binds to DNA restriction fragments containingminisatellites with homologous core sequences, and then washed to remove excess probe andexposed to X-ray film. The autoradiograph consists of a n umber of bands indicating therelative position of the different sized minisatellite-containing restriction fragments, andrepresents the DNA fingerprint or DNA profile for that individual.The characteristics of DNA profiles and the minisatellite loci they represent have been studiedin a range of animals, including humans (Jeffreys(Jeffreyset al. 1986; Fowler et al. 1988), miceet al. 1987), dogs and cats (Jeffreys & Morton 1987) and birds (Burke & Bruford7

1 General Introduction1987; WettonGyllenstenet al. 1987; Burke et al. 1989; Birkhead et al. 1990; Bruford et al. 1990;et al. 1990; Hanotte et al. 1992; Wetton et al.1992; Hartley et al. 1993; Lifjeldet al. 1993; Pinxten et al. 1993) and have been summarised below. First, a multi-locusDNA profile is usually composed of 10-30 individual bands, each representing a differentminisatellite fragment from a similar number of different loci. A single-locus DNA profile forany particular individual will consist of only one or two fragments, depending on whetherthat individual is homozygous or heterozygous, respectively, at that particular minisatellitelocus. Second, minisatellite fragments show Mendelian inheritance; heterozygous fragmentsare transmitted on average to half of the offspring. Third, minisatellite fragments aregenerally inherited independently. Non-independence of fragments can arise through allelism(the appearance of both alleles at a particular locus on the scorable region of a gel) and/orlinkage (the cosegregation of two or more fragments which arises when either a minisatellitefragment is cleaved internally by the restriction enzyme or minisatellite locitogether on the one chromosome), but is rarely observed. Hanottearesituated closeet al. (1992) havereported both allelism and tight linkage for a large number of fragments in red grouse.Fourth, DNA profiles are somatically stable in different tissues and for cultured cell lines(Jeffreyset al. 1985b). Finally, as a consequence of the independent Mendelian inheritanceof minisatellite fragments and the large number of highly polymorphic loci that aresimultaneously identified, DNA profiles in many species are individual-specific. Only incases of extreme inbreeding or for monozygotic twins will the DNA profiles of twoindividuals be identical.A p plicationsOutside of human forensic and genetic applications, DNA fingerprinting has two mainapplications in population biology and ecology. The first, and most widespread, use is that ofpaternity analysis in wild populations. The assessment of genetic relatio·nships betweenindividuals is of particular importance in behavioural ecology to determine realisedreproductive success and examine the evolutionary impact of alternative mating strategies.For example, no copulations outside of the pair bond were observed in a population ofmonogamous tree swallows(Tachycineta bicolor) but, based on multilocus DNAfingerprinting of birds from 16 nests, 38% of the nestlings were sired by an extra-pair male(Lifjeldet al. 1993). Estimates of male reproductive success based on behavioural8

1 General Introductionobservations only are therefore substantially incorrect in this species. The genetic analysisprovided an even greater level of resolution. The illegitimate offspring were not randomlydistributed among broods, rather a small number of males were suffering most of thecuckoldry, and therefore loss of reproductive success. At the other extreme, Hunteret al.( 1992) observed regular occurrences of copulations between birds from different pairs in thenorthern fulmar(Fulmarus glacialis) but did not detect any extra-pair paternity. Thus despiteadopting an alternative mating strategy involving copulations with extra-pair females, malefulmars do not increase their reproductive success. Jarneet al. ( 1 992) used multilocus DNAfingerprinting to distinguish self-fertilising and cross-fertilising mating systems in thehermaphroditic snail Bulinus globosus.Two properties of genetic inheritance form the basis for assigning or excluding parentage byDNA fingerprinting. In diploid, sexually reproducing organisms an offspring inherits half ofits autosomal DNA from each parent and its entire nuclear genome from both parentscombined. In an ideal situation where the same set of homologous loci is assayed completelyfor all individuals; both alleles at each locus can be identified and all individuals areheterozygous at all loci; each allele is represented by only a single fragment a.Jld all fragmentsare independently inherited; there are an infmite number of alleles at each locus; and there isno mutation from one generation to the next; an offspring will share exactly50% of itsfragments with each parent and all fragments in the offspring's DNA profile will be presentin one or the other of the parents' profile. Second-, third- and fourth-order and more distantrelatives will share a percentage of their fragments in direct proportion to their level of geneticrelatedness. Unrelated individuals will share

3.2.2 Extraction and purification ofmtDNA 106 3.2.3 Restriction enzyme digestion and identification of mtDNA fragments 109 3.2.4 Data analysis 110 3.3 Results 115 3.3.1 6/5.33-base enzyme survey 115 3.3.2 4-base enzyme survey 120 3.4 Dis

Related Documents:

Genetics – A Continuity of Life – Daniel Fairbanks, Ralph Anderson. Concepts of Genetics – Klug and Cummings. Principles of Genetics – Hartt and Jones. GN 5 B 07 : CORE COURSE VII Medical Genetics Total – 54 hrs Unit- 1: Principles of Human Genetics (2 hrs) History, Origin of medical genetics, classification of genetic disease .

4.3.1 Age and the Ecological Footprint 53 4.3.2 Gender and the Ecological Footprint 53 4.3.3 Travelling Unit and the Ecological Footprint 54 4.3.4 Country of Origin and Ecological Footprint 54 4.3.5 Occupation, Education, Income and the EF 55 4.3.6 Length of Stay and Ecological Footprint 55 4.4 Themes of Ecological Resource Use 56

evolutionary biology. From this point of view, some authors have tried to extend the Darwinian theory universally beyond the domain of evolutionary biology (Cf. Dawkins, 1983), using the three principles of evolutionary theory (inheritance or retention, variation, and adaptation) as a heuristic for evolutionary economic theorizing (Campbell, 1965).

Somatic cell genetics. Books Recommended: 1. Genetics - Gardener 2. Molecular Genetics of Bacteria 2nd edition 1995, Jeremy W.Dale.-John Wiley and sons. 3.Cell biology (1993)-David E.Sadva (Jones and Barrette) 4.Modern genetics (2nd edition,1984)-A.J.Ayala and W.Castra(Goom Helns,London) 5. Genetics by P.K Gupta. 6. Genetics by Verma and Agarwal 7.

HUMAN GENETICS AND PEDIGREES 7.4 . Key Concept A combination of methods is used to study human genetics . Human Genetics Human genetics follows the patterns seen in other organisms The basic principles of genetics

The Newest Synthesis: Understanding the Interplay of Evolutionary and Ecological Dynamics Thomas W. Schoener The effect of ecological change on evolution has long been a focus of scientific research. The reverse—how evolutionary dynamics affect ecological traits—has only recently captured our attention,

NATURE OF HUMAN INTELLIGENCE Leda Cosmides* and John Tooby* EVOLUTIONARY PSYCHOLOGY The goal of research in evolutionary psychology is to discover and understand the de- sign of the human mind. Evolutionary psychology is an approach to psychology, in which knowledge and principles from evolutionary biology and human evolutionary

data into studies of eco-evolutionary dynamics can provide a better mechanistic understanding of the causes of phenotypic change, help elucidate the mechanisms driving eco-evolutionary dynamics and lead to more accurate evolutionary predictions of eco-evolutionary dynamics in nature (Fig. 2). What genomic data can reveal about