Harp seal ageing techniques-teeth, aspartic acid racemization, and telomere sequence analysis.

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dc.contributor.author Garde, Eva
dc.contributor.author Frie, Anne K
dc.contributor.author Dunshea, Glenn
dc.contributor.author Hansen, Steen H
dc.contributor.author Kovacs, Kit Maureen
dc.contributor.author Lydersen, Christian
dc.coverage.spatial MEDIAN LATITUDE: 69.300000 * MEDIAN LONGITUDE: 42.875000 * SOUTH-BOUND LATITUDE: 68.400000 * WEST-BOUND LONGITUDE: 40.167000 * NORTH-BOUND LATITUDE: 70.200000 * EAST-BOUND LONGITUDE: 45.583000 * DATE/TIME START: 2006-04-09T00:00:00 * DATE/TIME END: 2006-04-24T00:00:00
dc.date.accessioned 2019-11-13T05:45:56Z
dc.date.available 2019-11-13T05:45:56Z
dc.date.issued 2010-04-12
dc.identifier https://doi.pangaea.de/10.1594/PANGAEA.810152
dc.identifier https://doi.org/10.1594/PANGAEA.810152
dc.identifier.citation Garde, Eva; Frie, Anne K; Dunshea, Glenn; Hansen, Steen H; Kovacs, Kit Maureen; Lydersen, Christian (2010): Harp seal ageing techniques-teeth, aspartic acid racemization, and telomere sequence analysis. Journal of Mammalogy, 91(6), 1365-1374, https://doi.org/10.1644/10-MAMM-A-080.1
dc.identifier.uri https://repository.geologyscience.ru/handle/123456789/6579
dc.description.abstract Lower jaws (containing the teeth), eyes, and skin samples were collected from harp seals (Pagophilus groenlandicus) in the southeastern Barents Sea for the purpose of comparing age estimates obtained by 3 different methods, the traditional technique of counting growth layer groups (GLGs) in teeth and 2 novel approaches, aspartic acid racemization (AAR) in eye lens nuclei and telomere sequence analyses as a proxy for telomere length. A significant correlation between age estimates obtained using GLGs and AAR was found, whereas no correlation was found between GLGs and telomere length. An AAR rate (k Asp) of 0.00130/year ± 0.00005 SE and a D-enantiomer to L-enantiomer ratio at birth (D/L 0 value) of 0.01933 ± 0.00048 SE were estimated by regression of D/L ratios against GLG ages from 25 animals (12 selected teeth that had high readability and 13 known-aged animals). AAR could prove to be useful, particularly for ageing older animals in species such as harp seals where difficulties in counting GLGs tend to increase with age. Age estimation by telomere length did not show any correlation with GLG ages and is not recommended for harp seals.
dc.format text/tab-separated-values, 527 data points
dc.language.iso en
dc.publisher PANGAEA
dc.rights CC-BY-3.0: Creative Commons Attribution 3.0 Unported
dc.rights Access constraints: unrestricted
dc.source Supplement to: Garde, Eva; Frie, Anne K; Dunshea, Glenn; Hansen, Steen H; Kovacs, Kit Maureen; Lydersen, Christian (2010): Harp seal ageing techniques-teeth, aspartic acid racemization, and telomere sequence analysis. Journal of Mammalogy, 91(6), 1365-1374, https://doi.org/10.1644/10-MAMM-A-080.1
dc.subject Ageing, aspartic acid racemization (AAR) in eye lens nuclei
dc.subject Ageing, counting growth layer groups (GLG) in teeth
dc.subject Aspartic acid D/L ratio
dc.subject Barents Sea
dc.subject BarentsSea_seal
dc.subject Biological sample
dc.subject BIOS
dc.subject International Polar Year (2007-2008)
dc.subject IPY
dc.subject Pagophilus groenlandicus, age
dc.subject Pagophilus groenlandicus, standard deviation
dc.subject Sample ID
dc.subject Sex
dc.title Harp seal ageing techniques-teeth, aspartic acid racemization, and telomere sequence analysis.
dc.title.alternative (Table 2) Age determination of harp seals (Pagophilus groenlandicus) from the Barents Sea - comparison of methods
dc.type Dataset


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