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Spatio-temporal genetic tagging of a cosmopolitan planktivorous shark provides insight to gene flow, temporal variation and site-specific re-encounters. / Lieber, Lilian; Hall, Graham; Hall, Jackie et al.
In: Scientific Reports, Vol. 10, 1661, 03.02.2020.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Lieber, L, Hall, G, Hall, J, Berrow, S, Johnston, E, Gubili, C, Sarginson, J, Francis, M, Duffy, C, Wintner, SP, Doherty, PD, Godley, BJ, Hawkes, LA, Witt, MJ, Henderson, SM, de Sabata, E, Shivji, MS, Dawson, DA, Sims, DW, Jones, CS & Noble, LR 2020, 'Spatio-temporal genetic tagging of a cosmopolitan planktivorous shark provides insight to gene flow, temporal variation and site-specific re-encounters', Scientific Reports, vol. 10, 1661. https://doi.org/10.1038/s41598-020-58086-4

APA

Lieber, L., Hall, G., Hall, J., Berrow, S., Johnston, E., Gubili, C., Sarginson, J., Francis, M., Duffy, C., Wintner, S. P., Doherty, P. D., Godley, B. J., Hawkes, L. A., Witt, M. J., Henderson, S. M., de Sabata, E., Shivji, M. S., Dawson, D. A., Sims, D. W., ... Noble, L. R. (2020). Spatio-temporal genetic tagging of a cosmopolitan planktivorous shark provides insight to gene flow, temporal variation and site-specific re-encounters. Scientific Reports, 10, Article 1661. https://doi.org/10.1038/s41598-020-58086-4

CBE

Lieber L, Hall G, Hall J, Berrow S, Johnston E, Gubili C, Sarginson J, Francis M, Duffy C, Wintner SP, et al. 2020. Spatio-temporal genetic tagging of a cosmopolitan planktivorous shark provides insight to gene flow, temporal variation and site-specific re-encounters. Scientific Reports. 10:Article 1661. https://doi.org/10.1038/s41598-020-58086-4

MLA

VancouverVancouver

Lieber L, Hall G, Hall J, Berrow S, Johnston E, Gubili C et al. Spatio-temporal genetic tagging of a cosmopolitan planktivorous shark provides insight to gene flow, temporal variation and site-specific re-encounters. Scientific Reports. 2020 Feb 3;10:1661. doi: 10.1038/s41598-020-58086-4

Author

RIS

TY - JOUR

T1 - Spatio-temporal genetic tagging of a cosmopolitan planktivorous shark provides insight to gene flow, temporal variation and site-specific re-encounters

AU - Lieber, Lilian

AU - Hall, Graham

AU - Hall, Jackie

AU - Berrow, Simon

AU - Johnston, Emmett

AU - Gubili, Chrysoula

AU - Sarginson, Jane

AU - Francis, Malcolm

AU - Duffy, Clinton

AU - Wintner, Sabine P

AU - Doherty, Philip D

AU - Godley, Brendan J

AU - Hawkes, Lucy A

AU - Witt, Matthew J

AU - Henderson, Suzanne M

AU - de Sabata, Eleonora

AU - Shivji, Mahmood S

AU - Dawson, Deborah A

AU - Sims, David W

AU - Jones, Catherine S

AU - Noble, Leslie R

PY - 2020/2/3

Y1 - 2020/2/3

N2 - Migratory movements in response to seasonal resources often influence population structure and dynamics. Yet in mobile marine predators, population genetic consequences of such repetitious behaviour remain inaccessible without comprehensive sampling strategies. Temporal genetic sampling of seasonally recurring aggregations of planktivorous basking sharks, Cetorhinus maximus, in the Northeast Atlantic (NEA) affords an opportunity to resolve individual re-encounters at key sites with population connectivity and patterns of relatedness. Genetic tagging (19 microsatellites) revealed 18% of re-sampled individuals in the NEA demonstrated inter/multi-annual site-specific re-encounters. High genetic connectivity and migration between aggregation sites indicate the Irish Sea as an important movement corridor, with a contemporary effective population estimate (Ne) of 382 (CI = 241-830). We contrast the prevailing view of high gene flow across oceanic regions with evidence of population structure within the NEA, with early-season sharks off southwest Ireland possibly representing genetically distinct migrants. Finally, we found basking sharks surfacing together in the NEA are on average more related than expected by chance, suggesting a genetic consequence of, or a potential mechanism maintaining, site-specific re-encounters. Long-term temporal genetic monitoring is paramount in determining future viability of cosmopolitan marine species, identifying genetic units for conservation management, and for understanding aggregation structure and dynamics.

AB - Migratory movements in response to seasonal resources often influence population structure and dynamics. Yet in mobile marine predators, population genetic consequences of such repetitious behaviour remain inaccessible without comprehensive sampling strategies. Temporal genetic sampling of seasonally recurring aggregations of planktivorous basking sharks, Cetorhinus maximus, in the Northeast Atlantic (NEA) affords an opportunity to resolve individual re-encounters at key sites with population connectivity and patterns of relatedness. Genetic tagging (19 microsatellites) revealed 18% of re-sampled individuals in the NEA demonstrated inter/multi-annual site-specific re-encounters. High genetic connectivity and migration between aggregation sites indicate the Irish Sea as an important movement corridor, with a contemporary effective population estimate (Ne) of 382 (CI = 241-830). We contrast the prevailing view of high gene flow across oceanic regions with evidence of population structure within the NEA, with early-season sharks off southwest Ireland possibly representing genetically distinct migrants. Finally, we found basking sharks surfacing together in the NEA are on average more related than expected by chance, suggesting a genetic consequence of, or a potential mechanism maintaining, site-specific re-encounters. Long-term temporal genetic monitoring is paramount in determining future viability of cosmopolitan marine species, identifying genetic units for conservation management, and for understanding aggregation structure and dynamics.

KW - Animal Migration

KW - Animals

KW - Atlantic Ocean

KW - Conservation of Natural Resources

KW - Female

KW - Gene Flow

KW - Genetic Variation

KW - Genetics, Population

KW - Ireland

KW - Male

KW - Microsatellite Repeats

KW - Population Density

KW - Seasons

KW - Sharks/genetics

KW - Spatio-Temporal Analysis

U2 - 10.1038/s41598-020-58086-4

DO - 10.1038/s41598-020-58086-4

M3 - Article

C2 - 32015388

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 1661

ER -