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

dc.contributor.authorGarde, Eva
dc.contributor.authorFrie, Anne K
dc.contributor.authorDunshea, Glenn
dc.contributor.authorHansen, Steen H
dc.contributor.authorKovacs, Kit Maureen
dc.contributor.authorLydersen, Christian
dc.coverage.spatialMEDIAN 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.accessioned2019-11-13T05:45:56Z
dc.date.available2019-11-13T05:45:56Z
dc.date.issued2010-04-12
dc.description.abstractLower 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.formattext/tab-separated-values, 527 data points
dc.identifierhttps://doi.pangaea.de/10.1594/PANGAEA.810152
dc.identifierhttps://doi.org/10.1594/PANGAEA.810152
dc.identifier.citationGarde, 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.urihttps://repository.geologyscience.ru/handle/123456789/6579
dc.language.isoen
dc.publisherPANGAEA
dc.rightsCC-BY-3.0: Creative Commons Attribution 3.0 Unported
dc.rightsAccess constraints: unrestricted
dc.sourceSupplement 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.subjectAgeing, aspartic acid racemization (AAR) in eye lens nuclei
dc.subjectAgeing, counting growth layer groups (GLG) in teeth
dc.subjectAspartic acid D/L ratio
dc.subjectBarents Sea
dc.subjectBarentsSea_seal
dc.subjectBiological sample
dc.subjectBIOS
dc.subjectInternational Polar Year (2007-2008)
dc.subjectIPY
dc.subjectPagophilus groenlandicus, age
dc.subjectPagophilus groenlandicus, standard deviation
dc.subjectSample ID
dc.subjectSex
dc.titleHarp 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.typeDataset

Файлы

Коллекции