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The Transformative Impact of Genomics on Sage-Grouse Conservation and Management

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Population Genomics: Wildlife

Part of the book series: Population Genomics ((POGE))

Abstract

For over two decades, genetic studies have been used to assist in the conservation and management of both Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (C. minimus), addressing a wide variety of topics including taxonomy, parentage, population connectivity, and demography. The field of conservation genetics has been transformed by dramatic improvements in sequencing technology, facilitating genomic studies in many wildlife species. The quality and amount of data generated by genomic methods vastly exceed that of traditional genetic studies, allowing for increased precision in estimating genetic parameters of interest. Perhaps more importantly, genomic methods can provide insight into non-neutral evolution such as adaptive divergence. Here we recount the shift from genetic to genomic methods using two wildlife species of substantial conservation interest, focusing on the improved capabilities and advantages of genomic methods. For instance, reassessment of divergence in sage-grouse using genomic methods confirmed strong differentiation between the two species and revealed that a small population in the state of Washington was more genetically distinct than previously recognized. Further, new genomic resources and approaches have been used to identify a family of genes linked to local dietary adaptation suggesting that sage-grouse may possess digestive and metabolic adaptations that mitigate the effects of consuming plant secondary metabolites like those found in sagebrush. Genetic variation among populations in these gene regions is thought to be involved with local dietary adaptations, and therefore maintaining the tie between sage-grouse and the chemistry of local sagebrush may be an important management consideration. We posit that the integration of newly developed genomic resources combined with the vast wealth of ecological and behavioral data for sage-grouse has the potential to shed light on mechanistic relationships that ultimately are vital to the conservation and management of these species.

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Acknowledgments

We thank M. Schroeder, J. Fike, and the editors of this volume for their helpful comments on this chapter and J. Saher for her help with figures. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.

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Authors and Affiliations

  1. U.S. Geological Survey, Fort Collins Science Center, Fort Collins, CO, USA

    Sara J. Oyler-McCance & Kevin P. Oh

  2. Natural Resource Ecology Laboratory and Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, USA

    Shawna J. Zimmerman & Cameron L. Aldridge

Authors
  1. Sara J. Oyler-McCance
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  2. Kevin P. Oh
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  3. Shawna J. Zimmerman
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  4. Cameron L. Aldridge
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Corresponding author

Correspondence to Sara J. Oyler-McCance .

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Editors and Affiliations

  1. Department of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID, USA

    Paul A. Hohenlohe

  2. Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada

    Om P. Rajora

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Oyler-McCance, S.J., Oh, K.P., Zimmerman, S.J., Aldridge, C.L. (2020). The Transformative Impact of Genomics on Sage-Grouse Conservation and Management. In: Hohenlohe, P.A., Rajora, O.P. (eds) Population Genomics: Wildlife. Population Genomics. Springer, Cham. https://doi.org/10.1007/13836_2019_65

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  • DOI: https://doi.org/10.1007/13836_2019_65

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