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Unlocking the history of a trans‐Atlantic invader: did the human slave trade impact Brown mussel dispersal?

dc.contributor.authorCalazans, SƔvio H.
dc.contributor.authorLourenƧo, Carla R.
dc.contributor.authorNicastro, Katy
dc.contributor.authorTagliaro, Claudia H.
dc.contributor.authorZardi, Gerardo I.
dc.contributor.authorFerreira, Carlos E. L.
dc.contributor.authorC. Fernandes, Flavio
dc.contributor.authorSilva, Edson P.
dc.contributor.authorHoffman, Eric A.
dc.contributor.authorFloeter, Sergio
dc.date.accessioned2021-10-07T18:47:42Z
dc.date.available2021-10-07T18:47:42Z
dc.date.issued2021
dc.description.abstractAim Brown mussels exhibit a trans-Atlantic distribution putatively caused by either native dispersal or artificial gene flow, likely in concert with the transport of enslaved people from Africa. Evolutionary history and demographic models of this widespread species may clarify how the present-day distribution was impacted by natural versus artificial dispersal. Particularly, dating the timing of the South American/African split may determine whether the human slave trade likely impacted the contemporary distribution of brown mussels. Location Coastal Brazil, Morocco, South Africa, and Mozambique. Taxon Perna perna (Linnaeus 1758). Methods We genotyped a total of 644 samples from 18 populations at 10 microsatellite loci. We estimated genetic structure with clustering algorithms in STRUCTURE and GENETIX. We estimated genetic distances by characterizing patterns of pair-wise F-ST using the program FSTAT, evaluating differences among and between regions via AMOVA, and testing isolation by distance in IBDWS. To estimate and date the most likely pathway by which P. perna crossed the Atlantic Ocean we used Bayesian factors from thermodynamically heated coalescent simulations in the program MIGRATE-n. Results We found no general pattern of reduced or elevated levels of genetic diversity within any region across site or locus. We identified four genetic clusters: East South Africa (ESA), West South Africa (WSA), Brazil (BR) and North Africa (MO); F-ST ranged from 0.06 to 0.11 among regions and exhibited a significant pattern of isolation by distance. Migration models indicated that P. perna dispersed from WSA to MO and from there to BR of approximately 2,000 years. Main conclusions Multiple lines of evidence suggest the Brazilian populations of P. perna have been a long-standing native population, originating from northern Africa and are unlikely a consequence of the African slave trade. Although, human introduction cannot be ruled out South American P. perna populations exhibited genetic characteristics indicative of a divergent, isolated and established population, featuring the genetic signature expected for a native population.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1111/jbi.14232pt_PT
dc.identifier.issn0305-0270
dc.identifier.urihttp://hdl.handle.net/10400.1/17202
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationWho is taking the heat? Accounting for multiple levels of biodiversity under contemporary climatic change
dc.relationAlgarve Centre for Marine Sciences
dc.subjectBiological invasionspt_PT
dc.subjectBrown musselpt_PT
dc.subjectCryptogenicpt_PT
dc.subjectDemographic modellingpt_PT
dc.subjectHuman slave tradept_PT
dc.subjectMicrosatellitespt_PT
dc.titleUnlocking the history of a trans‐Atlantic invader: did the human slave trade impact Brown mussel dispersal?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleWho is taking the heat? Accounting for multiple levels of biodiversity under contemporary climatic change
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F01413%2F2014%2FCP1217%2FCT0004/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.citation.endPage2681pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPage2671pt_PT
oaire.citation.titleJournal of Biogeographypt_PT
oaire.citation.volume48pt_PT
oaire.fundingStreamInvestigador FCT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNicastro
person.givenNameKaty
person.identifier.ciencia-id3E12-714B-AFE5
person.identifier.orcid0000-0002-7071-141X
person.identifier.ridD-2259-2012
person.identifier.scopus-author-id12646675100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery6268844a-b0a2-4aa5-9616-c3afaba0e2ca
relation.isProjectOfPublicationce75f4c5-0835-4fd6-86cc-d9f0012eedff
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