Attribute_Accuracy_Report:
Fatty acid-based estimates of polar bear diets were derived at the McKinney Laboratory at the University of Connecticut and McGill University using well established methods including various laboratory quality control and assurance testing protocols as discussed in McKinney et al. (2017). Characterization of gut microbiota communities were conducted at the Fondazione Edmund March using 16s rRNA gene amplification and sequencing protocols as detailed in Watson et al. (2019). All sequence data have been deposited in the NCBI Short Read Archive under project number PRJNA773176. Prey species DNA was extracted from polar bear fecal samples and amplified at the Gonzalez Laboratory at McGill University. Prey-specific primer sets to amplify pinniped and cetacean DNA were developed at the USGS Alaska Science Center using the appropriate scripts from the bioinformatics pipeline (Menning 2017).
No data were omitted. Blank cells indicate the sample was not assayed and/or the data were not collected or recorded.
Methodology:
Methodology_Type: Field
Methodology_Description:
Polar bears were captured or biopsy-darted on the sea ice of Alaska's southern Beaufort Sea region in spring, 2015-2016 and 2018-2019. Upon observation, polar bear age class and sex class were determined and recorded. Age and sex class for captured bears was confirmed via physical examination. Captured bears were measured and weighed. Adipose tissue iopsy samples were collected from the rump and stored in a glass vial. Fecal samples were collected from the rectum and stored in a Whirlpack plastic bag. Samples were collected from yearling, subadult, and adult individuals. Unmarked bears were microchipped, tattooed, and ear-tagged with a unique number. Buccal swabs were collected from all captured bears and used to determine each individual's genetic ID. Samples collected from biopsy darted bears consist of hair, skin, and adipose tissue. The skin was separated from the adipose tissue sample and used to derive a genetic ID for each bear darted. Adipose tissue and fecal samples were then used in diet and gut microbiome analyses, respectively, as described below.
Methodology:
Methodology_Type: Field
Methodology_Description:
Adipose tissue samples were collected from yearling, subadult and adult polar bears from Alaska's southern Beaufort Sea region in spring, 2015-2016 and 2018-2019. Adipose tissue samples were placed in a glass vial and into a cooler immediately after collection and later transferred to a -80 degree Fahrenheit freezer for long-term storage (McKinney et al. 2017).
Methodology:
Methodology_Type: Field
Methodology_Description:
Fecal samples were collected from yearling, subadult and adult polar bears from Alaska's southern Beaufort Sea region in spring, 2015-2016 and 2018-2019. Fecal samples were placed in plastic whirlpack bags, stored at 0 degrees Fahrenheit initially, and later transferred to a -80 degree Fahrenheit freezer for long-term storage.
Methodology:
Methodology_Type: Lab
Methodology_Description:
Fatty acid analysis was performed on polar bear adipose tissues. Diet estimates based on fatty acid signatures were determined via quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004, McKinney et al. 2017) using the QFASA package in R (Bromaghin 2016). QFASA determines the proportion of individual prey species consumed based on the weighted mixture of prey fatty acid signatures. Estimates from QFASA were adjusted using calibration coefficients (CC) from mink (Mustela vison) fed a marine diet. CC-corrected polar bear signatures were analyzed using the Kullback-Liebler distance measure (McKinney et al. 2017).
Methodology:
Methodology_Type: Lab
Methodology_Description:
Fecal samples were analyzed using 16S rRNA bacterial DNA amplification and sequencing protocols as described in Watson et al. (2019, 2021) to characterize gut microbiome communities. Shannon, Faith's, and inverse Simpson indices of bacterial alpha diversity were calculated as described in Watson et al. (2019, 2021) and below.
Methodology:
Methodology_Type: Lab
Methodology_Description:
Prey-specific primer sets to amplify pinniped DNA were developed as described in Menning (2017). Briefly, complementary DNA sequences of mitochondrial loci, cytochrome b (Cytb), and cytochrome oxidase 1 (CO1) were compiled from the NCBI GenBank nucleotide repository (
http://www.ncbi.nlm.nih.gov) for marine vertebrate species known to co-occur with or be a component of southern Beaufort Sea polar bear diets and used for primer design. The selected primer pairs were tested for successful amplification in prey samples that were available in the lab from earlier projects.
Methodology:
Methodology_Type: Lab
Methodology_Description:
The fecal microbiota of sampled bears was composed of 1221 operational taxonomic units (OTUs) encompassing 25 bacterial phyla. The diversity of phyla was measured using Shannon, Inverse Simpson, and Faith's Phylogenetic diversity indices (Watson et al. 2019). The Shannon Index takes into account both abundance and evenness of phyla present; the Inverse Simpson Index is less sensitive to taxa richness; and Faith's Phylogenetic Index differs from the other two indices in that it uses phylogenetic distance to calculate diversity. Taken together, the three diversity indices can be used to infer the robustness of bacterial phyla diversity estimates.
Source_Information:
Source_Citation:
Citation_Information:
Originator: National Center for Biotechnology Information (NCBI)
Publication_Date: Unknown
Title: Sequence Read Archive (SRA)
Geospatial_Data_Presentation_Form: database
Online_Linkage: https://www.ncbi.nlm.nih.gov/sra
Type_of_Source_Media: digital database file
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2020
Source_Currentness_Reference: observed
Source_Citation_Abbreviation: NCBI SRA
Source_Contribution:
Raw Illumina reads are publicly accessible in the NCBI SRA database project number PRJNA773176.
Source_Information:
Source_Citation:
Citation_Information:
Originator: National Center for Biotechnology Information (NCBI)
Publication_Date: Unknown
Title: GenBank
Geospatial_Data_Presentation_Form: database
Online_Linkage: https://www.ncbi.nlm.nih.gov/genbank
Type_of_Source_Media: digital database file
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2020
Source_Currentness_Reference: observed
Source_Citation_Abbreviation: NCBI GenBank
Source_Contribution:
Sequence information are publicly accessible in the NCBI Genbank database.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Watson, S E.
Originator: McKinney, M.A.
Originator: Pindo, M.
Originator: Bull, M.J.
Originator: Atwood, T.C.
Originator: Hauffe, H.C.
Originator: Perkins, S.E.
Publication_Date: 2021
Title:
Diet-driven mercury contamination is associated with polar bear gut microbiota.
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Scientific Reports
Issue_Identification: 11:23372
Publication_Information:
Publication_Place: online
Publisher: Nature
Other_Citation_Details:
Watson, S.E., McKinney, M.A., Pindo, M., Bull. M.J., Atwood, T.C., Hauffe, H.C., Perkins, S.E. 2021. Diet-driven mercury contamination is associated with polar bear gut microbiota. Scientific Reports 11:23372 doi:10.1038/s41598-021-02657-6
Online_Linkage: https://doi.org/10.1038/s41598-021-02657-6
Type_of_Source_Media: publication
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2021
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Watson et al. 2021
Source_Contribution: Laboratory Technique Citation: microbiome characterization
Source_Information:
Source_Citation:
Citation_Information:
Originator: Watson, S.E.
Originator: Hauffe, H.C.
Originator: Bull, M.J.
Originator: Atwood, T.C.
Originator: McKinney, M.A.
Originator: Pindo, M.
Originator: Perkins, S.E.
Publication_Date: 2019
Title:
Global change-driven use of onshore habitat impacts polar bear faecal microbiota.
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: The ISME Journal
Issue_Identification: 13(12):2916-2926
Publication_Information:
Publication_Place: online
Publisher: Nature
Other_Citation_Details:
Watson, S.E., Hauffe, H.C., Bull, M.J., Atwood, T.C., McKinney, M.A., Pindo, M., Perkins, S.E. 2019. Global change-driven use of onshore habitat impacts polar bear faecal microbiota. The ISME Journal 13(12):2916-2926 doi:10.1038/s41396-019-0480-2
Online_Linkage: https://doi.org/10.1038/s41396-019-0480-2
Type_of_Source_Media: journal article
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2019
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Watson et al. 2019
Source_Contribution: Laboratory Technique Citation: microbiome characterization
Source_Information:
Source_Citation:
Citation_Information:
Originator: McKinney, M.A.
Originator: Atwood, T.C.
Originator: Iverson, S.J.
Originator: Peacock, E.
Publication_Date: 2017
Title:
Temporal complexity of southern Beaufort Sea polar bear diets during a period of increasing land use.
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecosphere
Issue_Identification: 8(1):e01633
Publication_Information:
Publication_Place: online
Publisher: Wiley
Other_Citation_Details:
McKinney, M.A., Atwood, T.C., Iverson, S.J., Peacock, E. 2017. Temporal complexity of southern Beaufort Sea polar bear diets during a period of increasing land use. Ecosphere 8(1):e01633 doi:10.1002/ecs2.1633
Online_Linkage: https://doi.org/10.1002/ecs2.1633
Type_of_Source_Media: publication
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2017
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: McKinney et al. 2017
Source_Contribution:
Laboratory Technique Citation: quantification of prey species in polar bear diets determine via fatty acid signatures
Source_Information:
Source_Citation:
Citation_Information:
Originator: Iverson, S.J.
Originator: Field, C.
Originator: Bowen, W.D.
Originator: Blanchard, W.
Publication_Date: 2004
Title:
Quantitative fatty acid signature analysis: a new method of estimating predator diets.
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecological Monographs
Issue_Identification: 74(2):211-235
Publication_Information:
Publication_Place: online
Publisher: Wiley
Other_Citation_Details:
Iverson, S.J., Field, C., Bowen, W.D., Blanchard, W. 2004. Quantitative fatty acid signature analysis: a new method of estimating predator diets. Ecological Monographs 74(2):211-235 doi:10.1890/02-4105
Online_Linkage: https://doi.org/10.1890/02-4105
Type_of_Source_Media: publication
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2004
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Iverson et al, 2004
Source_Contribution:
Laboratory Technique Citation: quantification of prey species in polar bear diets determined via fatty acid signatures.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Bromaghin, J.F.
Publication_Date: 2016
Title: qfasar: Quantitative Fatty Acid Signature Analysis in R
Geospatial_Data_Presentation_Form: software
Series_Information:
Series_Name: USGS software release
Issue_Identification: doi:10.5066/F71G0JC9
Publication_Information:
Publication_Place: Anchorage, Alaska
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Bromaghin, J.F. 2016. qfasar: Quantitative Fatty Acid Signature Analysis in R (ver 1.2.1, March 2020): U.S. Geological Survey software release,
https://doi.org/10.5066/F71G0JC9
Online_Linkage: https://doi.org/10.5066/F71G0JC9
Type_of_Source_Media: computer code
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2016
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Bromaghin 2016
Source_Contribution:
Software package for diet determination by Quantitative Fatty Acid Signature.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Menning, D.M.
Publication_Date: 2017
Title: Python scripts for bioinformatics
Geospatial_Data_Presentation_Form: software
Series_Information:
Series_Name: USGS software release
Issue_Identification: doi:10.5066/F74F1NZ4
Publication_Information:
Publication_Place: Anchorage, Alaska
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Online_Linkage: https://doi.org/10.5066/F74F1NZ4
Type_of_Source_Media: computer code
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2017
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Menning 2017
Source_Contribution:
Laboratory Technique Citation: search and download of genetic information.
Process_Step:
Process_Description: Original field data were transcribed to digital tables.
Process_Date: Unknown
Process_Step:
Process_Description:
Raw read data generated in this study were submitted to the NCBI short read archive publicly available high throughput sequence data database (project number PRJNA773176).
Process_Date: Unknown
Source_Produced_Citation_Abbreviation: NCBI SRA
Process_Step:
Process_Description:
Proportions of prey items in polar bear diets was estimated with the QFASAR software package
Source_Used_Citation_Abbreviation: Bromaghin 2016
Process_Date: Unknown