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Killer Whale Genetic Data - Incidence of inbreeding and inbreeding depression in Southern Resident Killer Whales

Metadata Updated: October 18, 2025

The southern residents face several well-documented external threats. However, the population might also be subject to internal factors that limit population growth, including a reduction in fitness due to inbreeding. Understanding how inbreeding affects individual fitness and thus the health status of the population is critical for evaluating the relative influence of other factors on southern resident recovery. Assessing the risk of inbreeding depression – specifically called for in the NMFS recovery plan – is important for conducting accurate Population Viability Analyses and correctly understanding the urgency of recovery efforts. Here, we propose using genomic methods to evaluate inbreeding and inbreeding depression in the southern resident population and a comparable but healthier Alaskan resident population. Measures of inbreeding will serve as an important health marker, supporting the integration of individual metrics aimed at understanding population performance.

Measures of inbreeding can be obtained directly by estimating variation at millions of DNA markers in an individual’s genome. Complete genomic sequences for 100 southern and 50 Alaska residents will be collected in collaboration with the genomics company BGI. Inbreeding values for each individual will be obtained using genome wide measures of homozygosity and relatedness. We will then combine measured of inbreeding with data on individual fitness, to evaluate whether inbreeding leads to inbreeding depression. Generalized additive models will be used to determine whether survivorship, fecundity and size-at-age is influenced by different levels of inbreeding. Using this data, we will measure the degree of current and predicted future of inbreeding in the southern residents and compare this risk with the Alaska residents that have experienced consistent population growth. We will then evaluate whether inbreeding depression explains individual variance in fitness, and estimate its influence on the status of southern residents, using Population Viability Analyses. Microsatellite, SNP, and mtDNA sequence data from southern resident killer whales.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Date October 7, 2025
Metadata Created Date October 19, 2024
Metadata Updated Date October 18, 2025
Reference Date(s) January 1, 2005 (creation), February 5, 2018 (publication)
Frequency Of Update

Metadata Source

Harvested from NMFS NWFSC

Additional Metadata

Resource Type Dataset
Metadata Date October 7, 2025
Metadata Created Date October 19, 2024
Metadata Updated Date October 18, 2025
Reference Date(s) January 1, 2005 (creation), February 5, 2018 (publication)
Responsible Party (Point of Contact, Custodian)
Contact Email
Guid gov.noaa.nmfs.inport:18597
Access Constraints Cite As: Northwest Fisheries Science Center, [Date of Access]: Killer Whale Genetic Data - Incidence of inbreeding and inbreeding depression in Southern Resident Killer Whales [Data Date Range], https://www.fisheries.noaa.gov/inport/item/18597., Access Constraints: NA
Bbox East Long -122.2962
Bbox North Lat 47.6549
Bbox South Lat 47.6449
Bbox West Long -122.3062
Coupled Resource
Frequency Of Update
Harvest Object Id 929aec16-8a87-47eb-a5f0-2a502713eb81
Harvest Source Id ba43549f-8268-499d-bec8-91b164cb168f
Harvest Source Title NMFS NWFSC
Licence NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
Lineage DNA genotyping: These data were collected and processed in accordance with established protocols and best practices under the direction of the project’s Principal Investigator. Contact the dataset Data Manager for full QA/QC methodology.
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-122.3062, 47.6449], [-122.2962, 47.6449], [-122.2962, 47.6549], [-122.3062, 47.6549], [-122.3062, 47.6449]]]}
Progress underDevelopment
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2011-01-01

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