richard r. coleman, ph€¦ · 24/9/2019 · richard r. coleman, ph.d. hawaiʻi institute of...
TRANSCRIPT
Where are all the fish going? Identifying patterns of genetic connectivity
across the Hawaiian Archipelago
Richard R. Coleman, Ph.D
Hawaiʻi Institute of Marine Biology University of Hawaiʻi, Mānoa, Dept ofBiology
24 September 2019 National Marine Sanctuaries Webinar Series
Genetic Applications
Connectivity
Dispersal patterns
Identify Ecosystem Boundaries
Invasive species
Resolve species boundaries
Introgression
Evolutionary Theory
Describe Biodiversity
Hybridization
Embyronic Development
Species discovery
Gene Expression
Evolution
Genetic Applications
Hybridization
Connectivity
Dispersal patterns
Species discovery
Identify Ecosystem Boundaries
Invasive species
Resolve species boundaries
Introgression
Evolutionary Theory
Gene Expression
Describe Biodiversity
Embyronic Development
Evolution
Brief History of Genetics • 1859 – “On the origin of species” Theory of Evolution by Natural
Selection
• 1865 – Gregor Mendel’s pea experiments • 1869 – DNA isolated
• 1953 – DNA double helix described (Watson, Crick, Franklin, Wilkins) • 1966 – Genetic code cracked
• 1975 – DNA Sequencing
• 1983 – PCR invented
• 1995 – First genome sequenced
• 2002 – First mammal genome sequenced
• 2003 – Human genome sequenced
• 2005 – Second generation sequencing (Roche 454) • 2006 – Illumina sequencing (accounts for >70% of the market)
Leray et al. 2010 Fernandez-Silva et al. 2015
Waldrop et al. 2016 Ahti et al. 2016
Gaither et al. 2013
Bird et al. 2013
Johnston et al. 2017
Fernandez-Silva et al. 2016
DiBattista et al. 2013
Iacchei et al. 2015
Puritz & Toonen 2011
Skillings et al. 2014 Timmers et al. 2012 Andrews et al. 2010
Importance of Understanding Connectivity
• Provides insights into the mechanisms that influence evolution
• Information can be used to inform management and conservation strategies
Informingpropermanagement
• Barrierstodispersal• Identifyvulnerableareasandmanagementunits
• Characterizesource-sinkpopulations– “Source”populations
• Populationsthatareresponsibleforseedingotherareas
– “Sink”populations• Regionsthataredependentonotherpopulations
40-60 day
PopulationConnectivity
PopulationConnectivity
PopulationConnectivity
PopulationConnectivity
“Source”
“Sink”
PopulationConnectivity
“Source”
“Sink”
PopulationConnectivity
“Source”
“Sink”
PopulationConnectivity
Barriers to gene flow
Barrierstodispersalinterrestrialsystems
• Ofteneasytoidentify
• Examples:– Rivers– MountainRanges– Islands
wallpaperswiki.com
Barriersinmarinesystems
Mostmarineorganismshavelarvaethatcandriftforweekstomonths
Spa
tial S
cale
s
Spa
tial S
cale
s
Ocean Basins Range-wide (Indian and Pacific Oceans)
Spa
tial S
cale
s
Ocean Basins
Archipelago
Range-wide (Indian and Pacific Oceans)
Hawaiian Archipelago
Spa
tial S
cale
s
Ocean Basins
Archipelago
Island
Range-wide (Indian and Pacific Oceans)
Hawaiian Archipelago
Oʻahu
Spa
tial S
cale
s
Ocean Basins
Archipelago
Island
Range-wide (Indian and Pacific Oceans)
Hawaiian Archipelago
Oʻahu
Spa
tial S
cale
s
Ocean Basins
Archipelago
Island
Range-wide (Indian and Pacific Oceans)
Hawaiian Archipelago
Oʻahu
Conservation/Management
Archipelago Island
HawaiianArchipelagoArchipelago Island
MainHawaiianIslandsArchipelago Island
PapahānaumokuākeaMarineNationalMonunment
Archipelago Island
Archipelago Island
Archipelago Island
HawaiianArchipelagoArchipelago Island
HawaiianArchipelagoArchipelago Island
HawaiianArchipelagoArchipelago Island
HawaiianArchipelagoArchipelago Island
Archipelago Island
Archipelago Island
Collect tissue sample
Geneticmethods
Collect tissue sample
Extract & Isolate DNA
Geneticmethods
Collect tissue sample
Extract & Isolate DNA Sequence DNA
Geneticmethods
Collect tissue sample
Extract & Isolate DNA Sequence DNA
Geneticmethods
Usinggeneticmethods
Usinggeneticmethods
PopulationGeneticsExample
Pop 1 Pop 2 Pop 3 Pop 4
PopulationGeneticsExample2
Pop 1 Pop 2 Pop 3 Pop 4
PopulationGeneticsExample2
Pop 1 Pop 2 Pop 3 Pop 4 G
enetic Break
HawaiianArchipelagoArchipelago Island
Archipelago• HawaiianArchipelago
(Toonen et al. 2011)
Archipelago Island
Archipelago• HawaiianArchipelago
Do these patterns hold in a genomics framework?
(Toonen et al. 2011)
Archipelago Island
• PLD:54-70days• Indo-Pacific
Manini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
• PLD:50-60days• HawaiianEndemic
Archipelago Island
• PLD:54-70days• Indo-Pacific=highdispersal
Manini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
• PLD:50-60days• HawaiianEndemic=lowdispersal
Archipelago Island
• PLD:54-70days• Indo-Pacific=highdispersal
Manini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
• PLD:50-60days• HawaiianEndemic=lowdispersal
Do these species show similar connectivity patterns across the Hawaiian Archipelago?
Archipelago Island
Kole (Ctenocheatus strigosus) Eble et al. 2009 • One mitochondrial DNA marker
Archipelago Island
Kole (Ctenocheatus strigosus) Eble et al. 2009 • Wide spread connectivity • Pearl & Hermes, Maro Reef isolated
from the rest of the archipelago
Archipelago Island
Kole (Ctenocheatus strigosus)
• Genomic Sequencing
Archipelago Island
Kole (Ctenocheatus strigosus)
• Genomic Sequencing • Each Island is genetically distinct • Each island needs to be managed
independently
Archipelago Island
Manini (Acanthurus triostegus) Planes & Fauvelot (2002) • Oʻahu and Hawaiʻi Island genetically
distinct
Archipelago Island
Manini (Acanthurus triostegus)
• Genomic Sequencing
Archipelago Island
Manini (Acanthurus triostegus)
• Genomic Sequencing • Each MHI, Kure; isolated populations • NWHI + Johnston genetically
homogenous
Archipelago Island
Conclusions:ArchipelagoManini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
Archipelago Island
Conclusions:ArchipelagoManini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
Genomics provides finer scale resolution for identifying connectivity patterns
Archipelago Island
Conclusions:ArchipelagoManini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
• Island-by-islandisolation– FirstaccountinHawaiianfishes
Genomics provides finer scale resolution for identifying connectivity patterns
Archipelago Island
Conclusions:Archipelago
• WidespreadconnectivityinNWHI
Manini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
• Island-by-islandisolation– FirstaccountinHawaiianfishes
Genomics provides finer scale resolution for identifying connectivity patterns
Archipelago Island
Conclusions:Archipelago
ManagementImplications• MHIareseparatepopulationsfromtheNWHI
Manini (Acanthurus triostegus) Kole (Ctenocheatus strigosus)
Archipelago Island
Smallerspatialscales:Island
• ArchipelagoassessmentshowsthateachMHIisdistinct
• Islandassessmentrequiresfinerscaleresolution– Parentageanalysis
Archipelago Island
ParentageAnalysisOcean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
RecreationalFisheriesinHawaiʻi
• Heavypressureoffishcommunities
• Notwellregulated• Estimatedthat31%ofHawaiʻiresidentsparticipateinrecreationalfishing(Hamnettetal.2006)
• 36%ofthetotalcatchisattributedtorecreationalharvest(WestPac,2002)
Ocean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
Problemsassociatedwithunder-managedfisheries
• Leadtooverfishing• Prohibitlong-termsustainability– Inabilitytomaintainfoodsecurity
Ocean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
WindwardOʻahu• Identifyconnectivityanddispersalpatterns
• InitiatedbyNativeHawaiiancommunityleaderstobetterunderstandconnectivityofresources
Ocean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
Manini,Acanthurustriostegus
• Identifiedbycommunitiesleadersasanimportantfishstock
• AbundantthroughoutHawaiʻi
• Heavilytargetedbyrecreationalfishers
Ocean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
Windward Coast of Oʻahu
North
Kāneʻohe Bay
Kailua
Laie
Jerolmon et al, unpublished
Ocean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
Goal• Identifydispersalpathways
– Sourceandsinkpopulations• Identifyareasthatmaybevulnerabletofishingpressure
Ocean Basins Archipelago Island Bay Ocean Basins Archipelago Island Archipelago Island
CollectionSites
• Collected606adults,607juveniles
(Adults/Juveniles)
Archipelago Island
(Juveniles/Adults)
Assigned 69 juveniles (11.4%)
(Adults/Juveniles)
Archipelago Island
Assigned 69 juveniles (11.4%)
(Adults/Juveniles)
1 2-3
>14
Archipelago Island
Assigned 69 juveniles (11.4%) NHRC
(Adults/Juveniles)
1 2-3
>14
Archipelago Island
• SixoccurrencesofretentioninsideKāneʻoheBay
• Twoinstancesofdispersaloutofthebay(Hauʻula,Lāʻie)
(40) (37)
Archipelago Island
Conclusions:Island• Majorityoflarvaedonotdispersefar
– Mostdispersalislimitedtothe<30km– Someindicationoflocalretention
• EastOʻahuisasourceforrecruitment– KāneʻoheBayisdependentonrecruitmentfromoutsideofthebay• ManagementImplications
– Notmanyadultswithinthebay
Archipelago Island
Spa
tial S
cale
s
Archipelago
Island
Hawaiian Archipelago
Oʻahu
Spa
tial S
cale
s
Archipelago
Island
Hawaiian Archipelago
Oʻahu
Genomics provides finer scale resolution; MHI are separate populations from NWHI
Spa
tial S
cale
s
Archipelago
Island
Hawaiian Archipelago
Oʻahu
Genomics provides finer scale resolution; MHI are separate populations from NWHI
Identified pathways of dispersal and origins of recruitment; management implications
Problemsinthefield
Problemsinthefield
• Misidentificationsinthefield
Howmanyspeciesdoyousee?
Howmanyspeciesdoyousee?
Problemsinthefield
• Misidentificationsinthefield• Incorrectlabeling
Problemsinthefield
• Misidentificationsinthefield• Incorrectlabeling• Inadequatesamplesize• MakingsureDNAremainsstable
– Properpreservationsolution– Avoidextremeheat
• Contamination
Geneticsasatool
• Geneticsbecanusefulinaddressingavarietyofquestions
• Providesinsightintoevolutionarymechanisms• Informsmanagementandconservation• Asmoleculartechnologyadvances,ourabilitytoanswerquestionsincreases
FundingSources• OfficeofNationalMarine
Sanctuaries(NOAA),Dr.NancyFosterScholarship
• NSFGraduateResearchFellowshipProgram
• CastleFoundation• UniversityofHawaiiSeaGrant
Program
Acknowledgements
Acknowledgements
FieldHelp:AnelaAkiona,KeishaBahr,EvanBarba,LindsayBull,GregoryBurgess,KatiaCapel,BaileyCarlson,HowardChoat,DanielCoffey,DelanyColeman,JoshuaCopus,ChelsieCounsell,MatthewCraig,JosephDiBattista,ʻAleʻalaniDudoit,JeffEble,IriaFernandezSilva,KelleFreel,MichelleGaither,CampbellGunnell,MykleHoban,J.P.Hobbs,GriffinHolms,KaleonaniHurley,ConorJerolmon,GarrettJohnson,SteveKarl,DerekKraft,RandallKosaki,SarahLeitner,CoryLescher,ClaireLewis,DanLevy,JoshuaLevy,KaimanaLundquist,CassieKaʻapu-Lyons,SeanMahaffey,CarlMeyers,EileenNalley,EdnaDiazNegron,YannisPapstamatiou,JulienPaillusseau,MarkSparkyPriest,JoshuaReece,D.RossRobertson,MarkRoyer,TaneSinclair-Taylor,KimTenggardjaja,KaiSteuer,ZoltanSzabo,KalikoThomas,JackieTroller,SarahTucker,LeonWeaver,RobertWhitton,VanWishingrad,JillZamzow,JulieZill,andmanymore.LogisticalSupport:DavidPence,JasonJones,andUHDiveOffice,CrewoftheR/VHiʻialkai,DreamDivers,DolphinDivers,M/VDeli,theAdministrationoftheBritishIndianOceanTerritoryandChagosConservationTrust,UniversityofMilano-BicoccaMarineResearchandHighEducationCentreinMagoodhoo,theMinistryofFisheriesandAgriculture,RepublicofMaldives,andthecommunityofMaghoodhoo,FaafuAtoll
ToBoLabmembers(pastandpresent),FishFlowteam
Questions?