Data

Historic and contemporary biogeographic perspectives on range-wide spatial genetic structure in a widespread seagrass

The University of Western Australia
Sinclair, Elizabeth A. ; Hovey, Renae ; Krauss, Siegfried ; Anthony, Janet ; Waycott, Michelle ; Kendrick, Gary
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5061/dryad.kwh70rz4p&rft.title=Historic and contemporary biogeographic perspectives on range-wide spatial genetic structure in a widespread seagrass&rft.identifier=10.5061/dryad.kwh70rz4p&rft.publisher=DRYAD&rft.description=This raw data set contains multilocus genotypes for 1,312 individual samples from 44 locations. Aim: Historical and contemporary processes drive spatial patterns of genetic diversity. These include climate-driven range shifts and gene flow mediated by biogeographical influences on dispersal. Assessments that integrate these drivers are uncommon, but critical for testing biogeographic hypotheses. Here, we characterise intraspecific genetic diversity and its spatial structure across the entire distribution of a temperate seagrass to test marine biogeographic concepts for southern Australia. Location: Temperate Australian coastal waters Methods: Predictive modelling was used to contrast the current Posidonia australis distribution to its historical distribution during the Last Glacial Maximum (LGM). Spatial genetic structure was estimated for 44 sampled meadows from across the geographical range of the species using nine microsatellite loci. Results: Historical and contemporary distributions were similar, with the exception of the Bass Strait. Genetic clustering was consistent with the three currently recognised biogeographic provinces and largely consistent with the finer-scale IMCRA bioregions. Discrepancies were found within the Flindersian province and southwest IMCRA bioregion, while two regions of admixture coincided with transitional bioregions. Clonal diversity was highly variable, but positively associated with latitude. Genetic differentiation among meadows was significantly associated with oceanographic distance. Main conclusions: Our approach suggests how shared seascape drivers have influenced the capacity of P. australis to effectively track sea level changes associated with natural climate cycles over millennia, and in particular, the recolonisation of meadows across the Continental Shelf following the LGM. Genetic structure associated with IMCRA bioregions reflects the presence of stable biogeographic barriers, such as oceanic upwellings. This study highlights the importance of biogeography to infer the role of historical drivers in shaping extant diversity and structure.&rft.creator=Sinclair, Elizabeth A. &rft.creator=Hovey, Renae &rft.creator=Krauss, Siegfried &rft.creator=Anthony, Janet &rft.creator=Waycott, Michelle &rft.creator=Kendrick, Gary &rft.date=2023&rft.relation=http://research-repository.uwa.edu.au/en/publications/b1393cd7-1ba5-42b9-b660-e3557ba3bd57&rft.relation=http://research-repository.uwa.edu.au/en/publications/a6115e14-8c81-4090-85f9-0ef0ae018b0b&rft.relation=http://research-repository.uwa.edu.au/en/publications/1d682aed-f2a3-430b-9ce9-4b8b7b42c383&rft.relation=http://research-repository.uwa.edu.au/en/publications/249e868e-f938-4f3d-b4cc-98118aa27469&rft.relation=http://research-repository.uwa.edu.au/en/publications/c15f3438-5adf-487f-8e05-441895c3bfc1&rft_subject=FOS: Biological sciences&rft_subject=IMCRA bioregions&rft_subject=seagrass meadows&rft_subject=Posidonia australis&rft_subject=marine biogeography&rft_subject=microsatellite DNA loci&rft_subject=multilocus population genetics&rft.type=dataset&rft.language=English Access the data
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This raw data set contains multilocus genotypes for 1,312 individual samples from 44 locations. Aim: Historical and contemporary processes drive spatial patterns of genetic diversity. These include climate-driven range shifts and gene flow mediated by biogeographical influences on dispersal. Assessments that integrate these drivers are uncommon, but critical for testing biogeographic hypotheses. Here, we characterise intraspecific genetic diversity and its spatial structure across the entire distribution of a temperate seagrass to test marine biogeographic concepts for southern Australia. Location: Temperate Australian coastal waters Methods: Predictive modelling was used to contrast the current Posidonia australis distribution to its historical distribution during the Last Glacial Maximum (LGM). Spatial genetic structure was estimated for 44 sampled meadows from across the geographical range of the species using nine microsatellite loci. Results: Historical and contemporary distributions were similar, with the exception of the Bass Strait. Genetic clustering was consistent with the three currently recognised biogeographic provinces and largely consistent with the finer-scale IMCRA bioregions. Discrepancies were found within the Flindersian province and southwest IMCRA bioregion, while two regions of admixture coincided with transitional bioregions. Clonal diversity was highly variable, but positively associated with latitude. Genetic differentiation among meadows was significantly associated with oceanographic distance. Main conclusions: Our approach suggests how shared seascape drivers have influenced the capacity of P. australis to effectively track sea level changes associated with natural climate cycles over millennia, and in particular, the recolonisation of meadows across the Continental Shelf following the LGM. Genetic structure associated with IMCRA bioregions reflects the presence of stable biogeographic barriers, such as oceanic upwellings. This study highlights the importance of biogeography to infer the role of historical drivers in shaping extant diversity and structure.

Notes

External Organisations
University of Adelaide; Botanic Gardens and Parks Authority
Associated Persons
Michelle Waycott (Creator)

Issued: 2023-03-10

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Subjects
FOS: Biological sciences | IMCRA bioregions | Posidonia australis | marine biogeography | microsatellite DNA loci | multilocus population genetics | seagrass meadows |

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