1
|
Tumendemberel O, Hendricks SA, Hohenlohe PA, Sullivan J, Zedrosser A, Saebø M, Proctor MF, Koprowski JL, Waits LP. Range-wide evolutionary relationships and historical demography of brown bears (Ursus arctos) revealed by whole-genome sequencing of isolated central Asian populations. Mol Ecol 2023; 32:5156-5169. [PMID: 37528604 DOI: 10.1111/mec.17091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 07/02/2023] [Accepted: 07/19/2023] [Indexed: 08/03/2023]
Abstract
Phylogeographic studies uncover hidden pathways of divergence and inform conservation. Brown bears (Ursus arctos) have one of the broadest distributions of all land mammals, ranging from Eurasia to North America, and are an important model for evolutionary studies. Although several whole genomes were available for individuals from North America, Europe and Asia, limited whole-genome data were available from Central Asia, including the highly imperilled brown bears in the Gobi Desert. To fill this knowledge gap, we sequenced whole genomes from nine Asian brown bears from the Gobi Desert of Mongolia, Northern Mongolia and the Himalayas of Pakistan. We combined these data with published brown bear sequences from Europe, Asia and North America, as well as other bear species. Our goals were to determine the evolutionary relationships among brown bear populations worldwide, their genetic diversity and their historical demography. Our analyses revealed five major lineages of brown bears based on a filtered set of 684,081 single nucleotide polymorphisms. We found distinct evolutionary lineages of brown bears in the Gobi, Himalayas, northern Mongolia, Europe and North America. The lowest level of genetic diversity and the highest level of inbreeding were found in Pakistan, the Gobi Desert and Central Italy. Furthermore, the effective population size (Ne ) for all brown bears decreased over the last 70,000 years. Our results confirm the genetic distinctiveness and ancient lineage of brown bear subspecies in the Gobi Desert of Mongolia and the Himalayas of Pakistan and highlight their importance for conservation.
Collapse
Affiliation(s)
- Odbayar Tumendemberel
- Haub School of Environment and Natural Resources, University of Wyoming, Laramie, Wyoming, USA
- Department of Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | - Sarah A Hendricks
- Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, USA
| | - Paul A Hohenlohe
- Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, USA
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, USA
| | - Jack Sullivan
- Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, USA
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, USA
| | - Andreas Zedrosser
- Department of Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | - Mona Saebø
- Department of Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | | | - John L Koprowski
- Haub School of Environment and Natural Resources, University of Wyoming, Laramie, Wyoming, USA
| | - Lisette P Waits
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, USA
| |
Collapse
|
2
|
Sunde J, Yıldırım Y, Tibblin P, Bekkevold D, Skov C, Nordahl O, Larsson P, Forsman A. Drivers of neutral and adaptive differentiation in pike (Esox lucius) populations from contrasting environments. Mol Ecol 2021; 31:1093-1110. [PMID: 34874594 DOI: 10.1111/mec.16315] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 01/28/2023]
Abstract
Understanding how eco-evolutionary processes and environmental factors drive population differentiation and adaptation are key challenges in evolutionary biology of relevance for biodiversity protection. Differentiation requires at least partial reproductive separation, which may result from different modes of isolation such as geographic isolation (allopatry) or isolation by distance (IBD), resistance (IBR), and environment (IBE). Despite that multiple modes might jointly influence differentiation, studies that compare the relative contributions are scarce. Using RADseq, we analyse neutral and adaptive genetic diversity and structure in 11 pike (Esox lucius) populations from contrasting environments along a latitudinal gradient (54.9-63.6°N), to investigate the relative effects of IBD, IBE and IBR, and to assess whether the effects differ between neutral and adaptive variation, or across structural levels. Patterns of neutral and adaptive variation differed, probably reflecting that they have been differently affected by stochastic and deterministic processes. The importance of the different modes of isolation differed between neutral and adaptive diversity, yet were consistent across structural levels. Neutral variation was influenced by interactions among all three modes of isolation, with IBR (seascape features) playing a central role, wheares adaptive variation was mainly influenced by IBE (environmental conditions). Taken together, this and previous studies suggest that it is common that multiple modes of isolation interactively shape patterns of genetic variation, and that their relative contributions differ among systems. To enable identification of general patterns and understand how various factors influence the relative contributions, it is important that several modes are simultaneously investigated in additional populations, species and environmental settings.
Collapse
Affiliation(s)
- Johanna Sunde
- Ecology and Evolution in Microbial Model Systems, EEMiS, Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Yeşerin Yıldırım
- Ecology and Evolution in Microbial Model Systems, EEMiS, Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Petter Tibblin
- Ecology and Evolution in Microbial Model Systems, EEMiS, Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Dorte Bekkevold
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Christian Skov
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Oscar Nordahl
- Ecology and Evolution in Microbial Model Systems, EEMiS, Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Per Larsson
- Ecology and Evolution in Microbial Model Systems, EEMiS, Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Anders Forsman
- Ecology and Evolution in Microbial Model Systems, EEMiS, Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| |
Collapse
|