Search

Search Results

Dryad Logo
Brown-Vuillemin, Sarah; Bernatchez, Louis; Normandeau, Eric; Hernandez, Cécilia; Chabot, Denis; Tremblay, Réjean; Sirois, Pascal; Nozères, Claude; Robert, Dominique 2022-12-05 <p class="pf0" style="text-align:left;"><span lang="EN-CA">Beaked r</span><span lang="EN-CA">edfish, dominated by <em>Sebastes mentella</em>, have recently reached record abundance levels in the Gulf of St. Lawrence (GSL) and knowledge of their diet composition is essential to understand the trophic role that these groundfish play in the ecosystem. The objective of the present study was to compare the performance of the visual examination and DNA metabarcoding of stomach contents of the same individual redfish caught in the estuary and northern Gulf of St. Lawrence. Using a universal metazoan mitochondrial cytochrome c oxidase subunit I (COI) marker, a total of 27 taxonomic sequence matches, 16 at the species level considered as primary prey, were obtained from 185 stomachs with DNA metabarcoding and compared to </span><span lang="EN-GB">the</span> <span lang="EN-CA">26 prey types, 16 at genus or species level, obtained with stomach content analysis (SCA). While both techniques pointed to a similar definition of diet composition, our results</span><span lang="EN-CA"> also revealed that the SCA and DNA metabarcoding perform differently among prey categories, both in terms of detectability and taxonomical resolution, as well as in estimated contribution to diet. </span><span lang="EN-US">The use of DNA metabarcoding along with SCA improves the taxonomical resolution of visually determined prey,</span><span lang="EN-CA"> which supports the concept that both techniques provide useful complementary information that is best used together to gain a maximum level of information on the predator’s diet.</span></p>
UBC Dataverse Logo
Borealis
Thyrring, Jakob; Tremblay, Réjean; Sejr, Mikael 2019-11-20 This dataset contains all raw data to replicate the fatty acid analysis used in 'Local cold adaptation increases the thermal window of temperate mussels in the Arctic'. Abstract: Species expands towards higher latitudes in response to climate warming, but the pace of this expansion is related to the physiological capacity to resist cold stress. However, few studies exist that have quantified the level of inter-population local adaptation in marine species cold tolerance, especially in the Arctic. We investigated the importance of cold adaptation and thermal window width towards high latitudes from the temperate to the Arctic region. We measured upper and lower lethal air temperatures (i.e. LT and LT50) in temperate and Arctic populations of blue mussels (<i>Mytilus edulis</i>), and analysed weather data and membrane fatty acid compositions, following emersion simulations. Both populations had similar upper LT (~38 °C), but Arctic mussels survived 4°C colder air temperatures than temperate mussels (−15 vs. −11°C, respectively), corresponding to an 8% increase in their thermal window. There were strong latitudinal relationships between thermal window width and local air temperatures, indicating Arctic mussels are highly adapted to the Arctic environment where the seasonal temperature span exceeds 60°C. Local adaptation and local habitat heterogeneity thus allow leading-edge <i>M. edulis</i> to inhabit the high Arctic intertidal zones found more than 1200 km north of the limit for a temperate adapted individual. This intraspecific pattern provides insight into the importance of accounting for cold adaptation in climate change, conservation and biogeographic studies.
PANGAEA Logo
PANGAEA
Thyrring, Jakob; MacLeod, Colin D; Marshall, Katie E; Kennedy, Jessica; Tremblay, Réjean; Christopher D. G. Harley 2024 A full-factorial experiment was used to study whether ocean acidification increases mortality in subtidal Mytilus trossulus and subtidal M. galloprovincialis, and intertidal M. trossulus following sub-zero air temperature exposure. We examined physiological processes behind variation in freeze tolerance using 1H NMR metabolomics, analyses of fatty acids, and amino acid composition. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Zenodo (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-05-08. https://creativecommons.org/licenses/by/4.0/legalcode

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.