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Buchinger TJ, Hondorp DW, Krueger CC. Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon. Oecologia 2023; 201:953-964. [PMID: 36995424 DOI: 10.1007/s00442-022-05280-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/31/2022] [Indexed: 03/31/2023]
Abstract
Migratory diversity can promote population differentiation if sympatric phenotypes become temporally, spatially, or behaviorally segregated during breeding. In this study, the potential for spatiotemporal segregation was tested among three migratory phenotypes of lake sturgeon (Acipenser fulvescens) that spawn in the St. Clair River of North America's Laurentian Great Lakes but differ in how often they migrate into the river and in which direction they move after spawning. Acoustic telemetry over 9 years monitored use of two major spawning sites by lake sturgeon that moved north to overwinter in Lake Huron or south to overwinter in Lake St. Clair. Lake St. Clair migrants were further distinguished by whether they migrated into the St. Clair River each year (annual migrants) or intermittently (intermittent migrants). Social network analyses indicated lake sturgeon generally co-occurred with individuals of the same migratory phenotype more often than with different migratory phenotypes. A direct test for differences in space use revealed one site was almost exclusively visited by Lake St. Clair migrants whereas the other site was visited by Lake Huron migrants, intermittent Lake St. Clair migrants, and, to a lesser extent, annual Lake St. Clair migrants. Analysis of arrival and departure dates indicated opportunity for co-occurrence at the site visited by all phenotypes but showed Lake Huron migrants arrived approximately 2 weeks before Lake St. Clair migrants. Taken together, our results indicated partial spatiotemporal segregation of migratory phenotypes that may generate assortative mating and promote population differentiation.
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Affiliation(s)
- Tyler J Buchinger
- Department of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University, East Lansing, MI, 48824, USA.
- Great Lakes Science Center, U. S. Geological Survey, 1451 Green Rd., Ann Arbor, MI, 48105, USA.
| | - Darryl W Hondorp
- Great Lakes Science Center, U. S. Geological Survey, 1451 Green Rd., Ann Arbor, MI, 48105, USA
| | - Charles C Krueger
- Department of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University, East Lansing, MI, 48824, USA
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Waples RS, Ford MJ, Nichols K, Kardos M, Myers J, Thompson TQ, Anderson EC, Koch IJ, McKinney G, Miller MR, Naish K, Narum SR, O'Malley KG, Pearse DE, Pess GR, Quinn TP, Seamons TR, Spidle A, Warheit KI, Willis SC. Implications of Large-Effect Loci for Conservation: A Review and Case Study with Pacific Salmon. J Hered 2022; 113:121-144. [PMID: 35575083 DOI: 10.1093/jhered/esab069] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 11/07/2021] [Indexed: 11/13/2022] Open
Abstract
The increasing feasibility of assembling large genomic datasets for non-model species presents both opportunities and challenges for applied conservation and management. A popular theme in recent studies is the search for large-effect loci that explain substantial portions of phenotypic variance for a key trait(s). If such loci can be linked to adaptations, 2 important questions arise: 1) Should information from these loci be used to reconfigure conservation units (CUs), even if this conflicts with overall patterns of genetic differentiation? 2) How should this information be used in viability assessments of populations and larger CUs? In this review, we address these questions in the context of recent studies of Chinook salmon and steelhead (anadromous form of rainbow trout) that show strong associations between adult migration timing and specific alleles in one small genomic region. Based on the polygenic paradigm (most traits are controlled by many genes of small effect) and genetic data available at the time showing that early-migrating populations are most closely related to nearby late-migrating populations, adult migration differences in Pacific salmon and steelhead were considered to reflect diversity within CUs rather than separate CUs. Recent data, however, suggest that specific alleles are required for early migration, and that these alleles are lost in populations where conditions do not support early-migrating phenotypes. Contrasting determinations under the US Endangered Species Act and the State of California's equivalent legislation illustrate the complexities of incorporating genomics data into CU configuration decisions. Regardless how CUs are defined, viability assessments should consider that 1) early-migrating phenotypes experience disproportionate risks across large geographic areas, so it becomes important to identify early-migrating populations that can serve as reliable sources for these valuable genetic resources; and 2) genetic architecture, especially the existence of large-effect loci, can affect evolutionary potential and adaptability.
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Affiliation(s)
- Robin S Waples
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | - Michael J Ford
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | - Krista Nichols
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | | | - Jim Myers
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | | | - Eric C Anderson
- Southwest Fisheries Science Center, National Marine Fisheries Service, Santa Cruz, CA, USA
| | - Ilana J Koch
- Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
| | - Garrett McKinney
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
- Washington Department of Fish and Wildlife, Olympia, WA, USA
| | | | - Kerry Naish
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WAUSA
| | - Shawn R Narum
- Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
| | | | - Devon E Pearse
- Southwest Fisheries Science Center, National Marine Fisheries Service, Santa Cruz, CA, USA
| | - George R Pess
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | - Thomas P Quinn
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WAUSA
| | - Todd R Seamons
- Washington Department of Fish and Wildlife, Olympia, WA, USA
| | - Adrian Spidle
- Northwest Indian Fisheries Commission, Olympia, WA, USA
| | | | - Stuart C Willis
- Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
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