1
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Lan T, Yang S, Li H, Zhang Y, Li R, Sahu SK, Deng W, Liu B, Shi M, Wang S, Du H, Huang X, Lu H, Liu S, Deng T, Chen J, Wang Q, Han L, Zhou Y, Li Q, Li D, Kristiansen K, Wan QH, Liu H, Fang SG. Large-scale genome sequencing of giant pandas improves the understanding of population structure and future conservation initiatives. Proc Natl Acad Sci U S A 2024; 121:e2406343121. [PMID: 39186654 DOI: 10.1073/pnas.2406343121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/23/2024] [Indexed: 08/28/2024] Open
Abstract
The extinction risk of the giant panda has been demoted from "endangered" to "vulnerable" on the International Union for Conservation of Nature Red List, but its habitat is more fragmented than ever before, resulting in 33 isolated giant panda populations according to the fourth national survey released by the Chinese government. Further comprehensive investigations of the genetic background and in-depth assessments of the conservation status of wild populations are still necessary and urgently needed. Here, we sequenced the genomes of 612 giant pandas with an average depth of ~26× and generated a high-resolution map of genomic variation with more than 20 million variants covering wild individuals from six mountain ranges and captive representatives in China. We identified distinct genetic clusters within the Minshan population by performing a fine-grained genetic structure. The estimation of inbreeding and genetic load associated with historical population dynamics suggested that future conservation efforts should pay special attention to the Qinling and Liangshan populations. Releasing captive individuals with a genetic background similar to the recipient population appears to be an advantageous genetic rescue strategy for recovering the wild giant panda populations, as this approach introduces fewer deleterious mutations into the wild population than mating with differentiated lineages. These findings emphasize the superiority of large-scale population genomics to provide precise guidelines for future conservation of the giant panda.
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Affiliation(s)
- Tianming Lan
- Key Laboratory of Biosystems Homeostasis & Protection (Ministry of Education), State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
- Wildlife Evolution and Conservation Omics Laboratory, College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
| | - Shangchen Yang
- Key Laboratory of Biosystems Homeostasis & Protection (Ministry of Education), State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Haimeng Li
- Wildlife Evolution and Conservation Omics Laboratory, College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
- Heilongjiang Key Laboratory of Complex Traits and Protein Machines in Organisms, Harbin 150040, China
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin 150040, China
| | - Yi Zhang
- Key Laboratory of Biosystems Homeostasis & Protection (Ministry of Education), State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Rengui Li
- Key Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center of Giant Panda, Dujiangyan 611830, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
- BGI Research, Beijing Genomics Institute, Wuhan 430074, China
| | - Wenwen Deng
- Key Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center of Giant Panda, Dujiangyan 611830, China
| | - Boyang Liu
- Wildlife Evolution and Conservation Omics Laboratory, College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Minhui Shi
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
| | - Shiqing Wang
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
| | - Hanyu Du
- Key Laboratory of Biosystems Homeostasis & Protection (Ministry of Education), State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xiaoyu Huang
- Key Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center of Giant Panda, Dujiangyan 611830, China
| | - Haorong Lu
- China National GeneBank, BGI Research, Beijing Genomics Institute, Shenzhen 518120, China
| | - Shanlin Liu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Tao Deng
- Key Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center of Giant Panda, Dujiangyan 611830, China
| | - Jin Chen
- China National GeneBank, BGI Research, Beijing Genomics Institute, Shenzhen 518120, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
| | - Lei Han
- Wildlife Evolution and Conservation Omics Laboratory, College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Yajie Zhou
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
| | - Qiye Li
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
- BGI Research, Beijing Genomics Institute, Wuhan 430074, China
| | - Desheng Li
- Key Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center of Giant Panda, Dujiangyan 611830, China
| | - Karsten Kristiansen
- Department of Biology, University of Copenhagen, Copenhagen DK-2100, Denmark
- Qingdao-Europe Advanced Institute for Life Sciences, Qingdao 266555, China
| | - Qiu-Hong Wan
- Key Laboratory of Biosystems Homeostasis & Protection (Ministry of Education), State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
- Heilongjiang Key Laboratory of Complex Traits and Protein Machines in Organisms, Harbin 150040, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Beijing Genomics Institute, Shenzhen 518083, China
| | - Sheng-Guo Fang
- Key Laboratory of Biosystems Homeostasis & Protection (Ministry of Education), State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
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2
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Urban L, Santure AW, Uddstrom L, Digby A, Vercoe D, Eason D, Crane J, Wylie MJ, Davis T, LeLec MF, Guhlin J, Poulton S, Slate J, Alexander A, Fuentes-Cross P, Dearden PK, Gemmell NJ, Azeem F, Weyland M, Schwefel HGL, van Oosterhout C, Morales HE. The genetic basis of the kākāpō structural color polymorphism suggests balancing selection by an extinct apex predator. PLoS Biol 2024; 22:e3002755. [PMID: 39255270 DOI: 10.1371/journal.pbio.3002755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 07/16/2024] [Indexed: 09/12/2024] Open
Abstract
The information contained in population genomic data can tell us much about the past ecology and evolution of species. We leveraged detailed phenotypic and genomic data of nearly all living kākāpō to understand the evolution of its feather color polymorphism. The kākāpō is an endangered and culturally significant parrot endemic to Aotearoa New Zealand, and the green and olive feather colorations are present at similar frequencies in the population. The presence of such a neatly balanced color polymorphism is remarkable because the entire population currently numbers less than 250 birds, which means it has been exposed to severe genetic drift. We dissected the color phenotype, demonstrating that the two colors differ in their light reflectance patterns due to differential feather structure. We used quantitative genomics methods to identify two genetic variants whose epistatic interaction can fully explain the species' color phenotype. Our genomic forward simulations show that balancing selection might have been pivotal to establish the polymorphism in the ancestrally large population, and to maintain it during population declines that involved a severe bottleneck. We hypothesize that an extinct apex predator was the likely agent of balancing selection, making the color polymorphism in the kākāpō a "ghost of selection past."
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Affiliation(s)
- Lara Urban
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
- Helmholtz Pioneer Campus, Helmholtz Munich, Neuherberg, Germany
- Technical University of Munich, School of Life Sciences, Freising, Germany
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Anna W Santure
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Lydia Uddstrom
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand
| | - Andrew Digby
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand
| | - Deidre Vercoe
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand
| | - Daryl Eason
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand
| | - Jodie Crane
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand
| | - Matthew J Wylie
- Ngāi Tahu, Ngāti Māmoe, Waitaha, New Zealand
- The New Zealand Institute for Plant and Food Research Limited, Nelson, New Zealand
| | - Tāne Davis
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand
- Ngāi Tahu, Ngāti Māmoe, Waitaha, New Zealand
| | - Marissa F LeLec
- Genomics Aotearoa and Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Joseph Guhlin
- Genomics Aotearoa and Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Simon Poulton
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
| | - Jon Slate
- School of Biosciences, University of Sheffield, Sheffield, United Kingdom
| | - Alana Alexander
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | | | - Peter K Dearden
- Genomics Aotearoa and Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Farhan Azeem
- Department of Physics, University of Otago, Dunedin, New Zealand
- Dodd-Walls Centre for Photonic and Quantum Technologies, Dunedin, New Zealand
| | - Marvin Weyland
- Department of Physics, University of Otago, Dunedin, New Zealand
- Dodd-Walls Centre for Photonic and Quantum Technologies, Dunedin, New Zealand
| | - Harald G L Schwefel
- Department of Physics, University of Otago, Dunedin, New Zealand
- Dodd-Walls Centre for Photonic and Quantum Technologies, Dunedin, New Zealand
| | - Cock van Oosterhout
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom
| | - Hernán E Morales
- Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Biology, Ecology Building, Lund University, Lund, Sweden
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3
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Jeon JY, Black AN, Heenkenda EJ, Mularo AJ, Lamka GF, Janjua S, Brüniche-Olsen A, Bickham JW, Willoughby JR, DeWoody JA. Genomic Diversity as a Key Conservation Criterion: Proof-of-Concept From Mammalian Whole-Genome Resequencing Data. Evol Appl 2024; 17:e70000. [PMID: 39257570 PMCID: PMC11386325 DOI: 10.1111/eva.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 06/25/2024] [Accepted: 07/25/2024] [Indexed: 09/12/2024] Open
Abstract
Many international, national, state, and local organizations prioritize the ranking of threatened and endangered species to help direct conservation efforts. For example, the International Union for Conservation of Nature (IUCN) assesses the Green Status of species and publishes the influential Red List of threatened species. Unfortunately, such conservation yardsticks do not explicitly consider genetic or genomic diversity (GD), even though GD is positively associated with contemporary evolutionary fitness, individual viability, and with future evolutionary potential. To test whether populations of genome sequences could help improve conservation assessments, we estimated GD metrics from 82 publicly available mammalian datasets and examined their statistical association with attributes related to conservation. We also considered intrinsic biological factors, including trophic level and body mass, that could impact GD and quantified their relative influences. Our results identify key population GD metrics that are both reflective and predictive of IUCN conservation categories. Specifically, our analyses revealed that Watterson's theta (the population mutation rate) and autozygosity (a product of inbreeding) are associated with the current Red List categorization, likely because demographic declines that lead to "listing" decisions also reduce levels of standing genetic variation. We argue that by virtue of this relationship, conservation organizations like IUCN could leverage emerging genome sequence data to help categorize Red List threat rankings (especially in otherwise data-deficient species) and/or enhance Green Status assessments to establish a baseline for future population monitoring. Thus, our paper (1) outlines the theoretical and empirical justification for a new GD-based assessment criterion, (2) provides a bioinformatic pipeline for estimating GD from population genomic data, and (3) suggests an analytical framework that can be used to measure baseline GD while providing quantitative GD context for consideration by conservation authorities.
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Affiliation(s)
- Jong Yoon Jeon
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
| | - Andrew N Black
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
- Western Association of Fish and Wildlife Agencies Boise Idaho USA
| | - Erangi J Heenkenda
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
| | - Andrew J Mularo
- Department of Biological Sciences Purdue University West Lafayette Indiana USA
| | - Gina F Lamka
- College of Forestry, Wildlife, and Environment Auburn University Auburn Alabama USA
| | - Safia Janjua
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
| | - Anna Brüniche-Olsen
- Center for Macroecology, Evolution and Climate, Globe Institute University of Copenhagen Copenhagen Denmark
| | - John W Bickham
- Department of Ecology and Conservation Biology Texas A&M University College Station Texas USA
| | - Janna R Willoughby
- College of Forestry, Wildlife, and Environment Auburn University Auburn Alabama USA
| | - J Andrew DeWoody
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
- Western Association of Fish and Wildlife Agencies Boise Idaho USA
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4
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Whitehouse LS, Ray D, Schrider DR. Tree sequences as a general-purpose tool for population genetic inference. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.20.581288. [PMID: 39185244 PMCID: PMC11343121 DOI: 10.1101/2024.02.20.581288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
As population genetics data increases in size new methods have been developed to store genetic information in efficient ways, such as tree sequences. These data structures are computationally and storage efficient, but are not interchangeable with existing data structures used for many population genetic inference methodologies such as the use of convolutional neural networks (CNNs) applied to population genetic alignments. To better utilize these new data structures we propose and implement a graph convolutional network (GCN) to directly learn from tree sequence topology and node data, allowing for the use of neural network applications without an intermediate step of converting tree sequences to population genetic alignment format. We then compare our approach to standard CNN approaches on a set of previously defined benchmarking tasks including recombination rate estimation, positive selection detection, introgression detection, and demographic model parameter inference. We show that tree sequences can be directly learned from using a GCN approach and can be used to perform well on these common population genetics inference tasks with accuracies roughly matching or even exceeding that of a CNN-based method. As tree sequences become more widely used in population genetics research we foresee developments and optimizations of this work to provide a foundation for population genetics inference moving forward.
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Affiliation(s)
- Logan S. Whitehouse
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Dylan Ray
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Daniel R. Schrider
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
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5
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Smith CCR, Patterson G, Ralph PL, Kern AD. Estimation of spatial demographic maps from polymorphism data using a neural network. Mol Ecol Resour 2024:e14005. [PMID: 39152666 DOI: 10.1111/1755-0998.14005] [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: 03/26/2024] [Revised: 07/16/2024] [Accepted: 08/06/2024] [Indexed: 08/19/2024]
Abstract
A fundamental goal in population genetics is to understand how variation is arrayed over natural landscapes. From first principles we know that common features such as heterogeneous population densities and barriers to dispersal should shape genetic variation over space, however there are few tools currently available that can deal with these ubiquitous complexities. Geographically referenced single nucleotide polymorphism (SNP) data are increasingly accessible, presenting an opportunity to study genetic variation across geographic space in myriad species. We present a new inference method that uses geo-referenced SNPs and a deep neural network to estimate spatially heterogeneous maps of population density and dispersal rate. Our neural network trains on simulated input and output pairings, where the input consists of genotypes and sampling locations generated from a continuous space population genetic simulator, and the output is a map of the true demographic parameters. We benchmark our tool against existing methods and discuss qualitative differences between the different approaches; in particular, our program is unique because it infers the magnitude of both dispersal and density as well as their variation over the landscape, and it does so using SNP data. Similar methods are constrained to estimating relative migration rates, or require identity-by-descent blocks as input. We applied our tool to empirical data from North American grey wolves, for which it estimated mostly reasonable demographic parameters, but was affected by incomplete spatial sampling. Genetic based methods like ours complement other, direct methods for estimating past and present demography, and we believe will serve as valuable tools for applications in conservation, ecology and evolutionary biology. An open source software package implementing our method is available from https://github.com/kr-colab/mapNN.
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Affiliation(s)
- Chris C R Smith
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Gilia Patterson
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Peter L Ralph
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Andrew D Kern
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
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6
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Wu ZY, Chapman MA, Liu J, Milne RI, Zhao Y, Luo YH, Zhu GF, Cadotte MW, Luan MB, Fan PZ, Monro AK, Li ZP, Corlett RT, Li DZ. Genomic variation, environmental adaptation, and feralization in ramie, an ancient fiber crop. PLANT COMMUNICATIONS 2024; 5:100942. [PMID: 38720463 PMCID: PMC11369781 DOI: 10.1016/j.xplc.2024.100942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/20/2023] [Accepted: 05/06/2024] [Indexed: 06/29/2024]
Abstract
Feralization is an important evolutionary process, but the mechanisms behind it remain poorly understood. Here, we use the ancient fiber crop ramie (Boehmeria nivea (L.) Gaudich.) as a model to investigate genomic changes associated with both domestication and feralization. We first produced a chromosome-scale de novo genome assembly of feral ramie and investigated structural variations between feral and domesticated ramie genomes. Next, we gathered 915 accessions from 23 countries, comprising cultivars, major landraces, feral populations, and the wild progenitor. Based on whole-genome resequencing of these accessions, we constructed the most comprehensive ramie genomic variation map to date. Phylogenetic, demographic, and admixture signal detection analyses indicated that feral ramie is of exoferal or exo-endo origin, i.e., descended from hybridization between domesticated ramie and the wild progenitor or ancient landraces. Feral ramie has higher genetic diversity than wild or domesticated ramie, and genomic regions affected by natural selection during feralization differ from those under selection during domestication. Ecological analyses showed that feral and domesticated ramie have similar ecological niches that differ substantially from the niche of the wild progenitor, and three environmental variables are associated with habitat-specific adaptation in feral ramie. These findings advance our understanding of feralization, providing a scientific basis for the excavation of new crop germplasm resources and offering novel insights into the evolution of feralization in nature.
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Affiliation(s)
- Zeng-Yuan Wu
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Mark A Chapman
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Jie Liu
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
| | - Richard I Milne
- Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JH, UK
| | - Ying Zhao
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Ya-Huang Luo
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Guang-Fu Zhu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Marc W Cadotte
- Department of Biological Sciences, University of Toronto-Scarborough, Toronto, Ontario, Canada
| | - Ming-Bao Luan
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, Hunan 410205, China.
| | - Peng-Zhen Fan
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Alex K Monro
- Royal Botanic Gardens Kew, Richmond, Surrey TW9 3AE, UK
| | - Zhi-Peng Li
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Richard T Corlett
- Royal Botanic Gardens Kew, Richmond, Surrey TW9 3AE, UK; Center for Integrative Conservation and Yunnan Key Laboratory for the Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan 666303, China
| | - De-Zhu Li
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
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7
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Unneberg P, Larsson M, Olsson A, Wallerman O, Petri A, Bunikis I, Vinnere Pettersson O, Papetti C, Gislason A, Glenner H, Cartes JE, Blanco-Bercial L, Eriksen E, Meyer B, Wallberg A. Ecological genomics in the Northern krill uncovers loci for local adaptation across ocean basins. Nat Commun 2024; 15:6297. [PMID: 39090106 PMCID: PMC11294593 DOI: 10.1038/s41467-024-50239-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 05/15/2024] [Indexed: 08/04/2024] Open
Abstract
Krill are vital as food for many marine animals but also impacted by global warming. To learn how they and other zooplankton may adapt to a warmer world we studied local adaptation in the widespread Northern krill (Meganyctiphanes norvegica). We assemble and characterize its large genome and compare genome-scale variation among 74 specimens from the colder Atlantic Ocean and warmer Mediterranean Sea. The 19 Gb genome likely evolved through proliferation of retrotransposons, now targeted for inactivation by extensive DNA methylation, and contains many duplicated genes associated with molting and vision. Analysis of 760 million SNPs indicates extensive homogenizing gene-flow among populations. Nevertheless, we detect signatures of adaptive divergence across hundreds of genes, implicated in photoreception, circadian regulation, reproduction and thermal tolerance, indicating polygenic adaptation to light and temperature. The top gene candidate for ecological adaptation was nrf-6, a lipid transporter with a Mediterranean variant that may contribute to early spring reproduction. Such variation could become increasingly important for fitness in Atlantic stocks. Our study underscores the widespread but uneven distribution of adaptive variation, necessitating characterization of genetic variation among natural zooplankton populations to understand their adaptive potential, predict risks and support ocean conservation in the face of climate change.
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Affiliation(s)
- Per Unneberg
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Mårten Larsson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Husargatan 3, 751 23, Uppsala, Sweden
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Anna Olsson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Husargatan 3, 751 23, Uppsala, Sweden
| | - Ola Wallerman
- Department of Medical Biochemistry and Microbiology, Uppsala University, Husargatan 3, 751 23, Uppsala, Sweden
| | - Anna Petri
- Uppsala Genome Center, Department of Immunology, Genetics and Pathology, Uppsala University, National Genomics Infrastructure hosted by SciLifeLab, Uppsala, Sweden
| | - Ignas Bunikis
- Uppsala Genome Center, Department of Immunology, Genetics and Pathology, Uppsala University, National Genomics Infrastructure hosted by SciLifeLab, Uppsala, Sweden
| | - Olga Vinnere Pettersson
- Uppsala Genome Center, Department of Immunology, Genetics and Pathology, Uppsala University, National Genomics Infrastructure hosted by SciLifeLab, Uppsala, Sweden
| | | | - Astthor Gislason
- Marine and Freshwater Research Institute, Pelagic Division, Reykjavik, Iceland
| | - Henrik Glenner
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Center for Macroecology, Evolution and Climate Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Joan E Cartes
- Instituto de Ciencias del Mar (ICM-CSIC), Barcelona, Spain
| | | | | | - Bettina Meyer
- Section Polar Biological Oceanography, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
- Institute for Chemistry and Biology of the Marine Environment, Carlvon Ossietzky University of Oldenburg, Oldenburg, Germany
- Helmholtz Institute for Functional Marine Biodiversity (HIFMB), University of Oldenburg, Oldenburg, Germany
| | - Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Uppsala University, Husargatan 3, 751 23, Uppsala, Sweden.
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8
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Smith CCR, Patterson G, Ralph PL, Kern AD. Estimation of spatial demographic maps from polymorphism data using a neural network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.15.585300. [PMID: 38559192 PMCID: PMC10980082 DOI: 10.1101/2024.03.15.585300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
A fundamental goal in population genetics is to understand how variation is arrayed over natural landscapes. From first principles we know that common features such as heterogeneous population densities and barriers to dispersal should shape genetic variation over space, however there are few tools currently available that can deal with these ubiquitous complexities. Geographically referenced single nucleotide polymorphism (SNP) data are increasingly accessible, presenting an opportunity to study genetic variation across geographic space in myriad species. We present a new inference method that uses geo-referenced SNPs and a deep neural network to estimate spatially heterogeneous maps of population density and dispersal rate. Our neural network trains on simulated input and output pairings, where the input consists of genotypes and sampling locations generated from a continuous space population genetic simulator, and the output is a map of the true demographic parameters. We benchmark our tool against existing methods and discuss qualitative differences between the different approaches; in particular, our program is unique because it infers the magnitude of both dispersal and density as well as their variation over the landscape, and it does so using SNP data. Similar methods are constrained to estimating relative migration rates, or require identity by descent blocks as input. We applied our tool to empirical data from North American grey wolves, for which it estimated mostly reasonable demographic parameters, but was affected by incomplete spatial sampling. Genetic based methods like ours complement other, direct methods for estimating past and present demography, and we believe will serve as valuable tools for applications in conservation, ecology, and evolutionary biology. An open source software package implementing our method is available from https://github.com/kr-colab/mapNN .
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Chavez DE, Hains T, Espinoza-Ulloa S, Wayne RK, Chaves JA. Whole-genome analysis reveals the diversification of Galapagos rail (Aves: Rallidae) and confirms the success of goat eradication programs. J Hered 2024; 115:444-457. [PMID: 38498380 DOI: 10.1093/jhered/esae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/09/2024] [Accepted: 03/15/2024] [Indexed: 03/20/2024] Open
Abstract
Similar to other insular birds around the world, the Galapagos rail (Laterallus spilonota Gould, 1841) exhibits reduced flight capacity following its colonization of the archipelago ~1.2 mya. Despite their short evolutionary history, rails have colonized seven different islands spanning the entire width of the archipelago. Galapagos rails were once common on islands with sufficiently high altitudes to support shrubs in humid habitats. After humans introduced goats, this habitat was severely reduced due to overgrazing. Habitat loss devastated some rail populations, with less than 50 individuals surviving, rendering the genetic diversity of Galapagos rail a pressing conservation concern. Additionally, one enigma is the reappearance of rails on the island of Pinta after they were considered extirpated. Our approach was to investigate the evolutionary history and geographic distribution of Galapagos rails as well as examine the genome-wide effects of historical population bottlenecks using 39 whole genomes across different island populations. We recovered an early divergence of rail ancestors leading to the isolated populations on Pinta and a second clade comprising the rest of the islands, historically forming a single landmass. Subsequently, the separation of the landmass ~900 kya may have led to the isolation of the Isabela population with more panmictic populations found on Santa Cruz and Santiago islands. We found that rails genomes contain long runs of homozygosity (>2 Mb) that could be related to the introduction of goats. Finally, our findings show that the modern eradication of goats was critical to avoiding episodes of inbreeding in most populations.
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Affiliation(s)
- Daniel E Chavez
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, United States
- Escuela de Biología, Pontificia Universidad Católica del Ecuador, Av. 12 de Octubre, Quito 170901, Ecuador
- Arizona Cancer Evolution Center, The Biodesign Institute, AZ School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | - Taylor Hains
- Committee on Evolutionary Biology, University of Chicago, Chicago, IL 60637, United States
- Negaunee Integrative Research Center, The Field Museum, Chicago, IL 60605, United States
- Grainger Bioinformatics Center, The Field Museum, Chicago, IL 60605, United States
| | - Sebastian Espinoza-Ulloa
- Escuela de Biología, Pontificia Universidad Católica del Ecuador, Av. 12 de Octubre, Quito 170901, Ecuador
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, United States
| | - Jaime A Chaves
- Department of Biology, San Francisco State University, San Francisco, CA 94132-1722, United States
- Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador
- Galapagos Science Center, Universidad San Francisco de Quito USFQ, Islas Galápagos, Ecuador
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10
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Wei S, Fan H, Zhou W, Huang G, Hua Y, Wu S, Wei X, Chen Y, Tan X, Wei F. Conservation genomics of the critically endangered Chinese pangolin. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2540-y. [PMID: 38970727 DOI: 10.1007/s11427-023-2540-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/07/2024] [Indexed: 07/08/2024]
Abstract
The Chinese pangolin (Manis pentadactyla, MP) has been extensively exploited and is now on the brink of extinction, but its population structure, evolutionary history, and adaptive potential are unclear. Here, we analyzed 94 genomes from three subspecies of the Chinese pangolin and identified three distinct genetic clusters (MPA, MPB, and MPC), with MPB further divided into MPB1 and MPB2 subpopulations. The divergence of these populations was driven by past climate change. For MPB2 and MPC, recent human activities have caused dramatic population decline and small population size as well as increased inbreeding, but not decrease in genomic variation and increase in genetic load probably due to strong gene flow; therefore, it is crucial to strengthen in situ habitat management for these two populations. By contrast, although human activities have a milder impact on MPA, it is at high risk of extinction due to long-term contraction and isolation, and genetic rescue is urgently needed. MPB1 exhibited a relatively healthy population status and can potentially serve as a source population. Overall, our findings provide novel insights into the conservation of the Chinese pangolin and biogeography of the mammals of eastern Asia.
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Affiliation(s)
- Shichao Wei
- Jiangxi Province Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang, 330045, China
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
| | - Huizhong Fan
- Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenliang Zhou
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
| | - Guangping Huang
- Jiangxi Province Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Yan Hua
- Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, 510520, China
| | - Shibao Wu
- School of Life Science, South China Normal University, Guangzhou, 510631, China
| | - Xiao Wei
- Terrestrial Wildlife Rescue and Epidemic Diseases Surveillance Center of Guangxi, Nanning, 530003, China
| | - Yiting Chen
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
| | - Xinyue Tan
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China
| | - Fuwen Wei
- Jiangxi Province Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang, 330045, China.
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
- Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
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11
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Gautier M, Micol T, Camus L, Moazami-Goudarzi K, Naves M, Guéret E, Engelen S, Lemainque A, Colas F, Flori L, Druet T. Genomic Reconstruction of the Successful Establishment of a Feralized Bovine Population on the Subantarctic Island of Amsterdam. Mol Biol Evol 2024; 41:msae121. [PMID: 38889245 PMCID: PMC11339654 DOI: 10.1093/molbev/msae121] [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: 11/24/2023] [Revised: 05/13/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
The feral cattle of the subantarctic island of Amsterdam provide an outstanding case study of a large mammalian population that was established by a handful of founders and thrived within a few generations in a seemingly inhospitable environment. Here, we investigated the genetic history and composition of this population using genotyping and sequencing data. Our inference showed an intense but brief founding bottleneck around the late 19th century and revealed contributions from European taurine and Indian Ocean Zebu in the founder ancestry. Comparative analysis of whole-genome sequences further revealed a moderate reduction in genetic diversity despite high levels of inbreeding. The brief and intense bottleneck was associated with high levels of drift, a flattening of the site frequency spectrum and a slight relaxation of purifying selection on mildly deleterious variants. Unlike some populations that have experienced prolonged reductions in effective population size, we did not observe any significant purging of highly deleterious variants. Interestingly, the population's success in the harsh environment can be attributed to preadaptation from their European taurine ancestry, suggesting no strong bioclimatic challenge, and also contradicting evidence for insular dwarfism. Genome scan for footprints of selection uncovered a majority of candidate genes related to nervous system function, likely reflecting rapid feralization driven by behavioral changes and complex social restructuring. The Amsterdam Island cattle offers valuable insights into rapid population establishment, feralization, and genetic adaptation in challenging environments. It also sheds light on the unique genetic legacies of feral populations, raising ethical questions according to conservation efforts.
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Affiliation(s)
- Mathieu Gautier
- CBGP, INRAE, CIRAD, IRD, L’institut Agro, Université de Montpellier, Montpellier, France
| | | | - Louise Camus
- CBGP, INRAE, CIRAD, IRD, L’institut Agro, Université de Montpellier, Montpellier, France
| | | | | | - Elise Guéret
- MGX-Montpellier GenomiX, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Stefan Engelen
- Retired, CEA, Institut de biologie François-Jacob, Genoscope, Université Paris-Saclay, Evry, France
| | - Arnaud Lemainque
- Retired, CEA, Institut de biologie François-Jacob, Genoscope, Université Paris-Saclay, Evry, France
| | - François Colas
- Retired, Saint-Paul and Amsterdam District, Terres Australes et Antarctiques Françaises, France
| | - Laurence Flori
- SELMET, INRAE, CIRAD, L’institut Agro, Université de Montpellier, Montpellier, France
| | - Tom Druet
- Unit of Animal Genomics, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
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12
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Marsh JI, Johri P. Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection. Mol Biol Evol 2024; 41:msae118. [PMID: 38874402 PMCID: PMC11245712 DOI: 10.1093/molbev/msae118] [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: 04/15/2024] [Revised: 06/05/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024] Open
Abstract
Inferring the demographic history of populations provides fundamental insights into species dynamics and is essential for developing a null model to accurately study selective processes. However, background selection and selective sweeps can produce genomic signatures at linked sites that mimic or mask signals associated with historical population size change. While the theoretical biases introduced by the linked effects of selection have been well established, it is unclear whether ancestral recombination graph (ARG)-based approaches to demographic inference in typical empirical analyses are susceptible to misinference due to these effects. To address this, we developed highly realistic forward simulations of human and Drosophila melanogaster populations, including empirically estimated variability of gene density, mutation rates, recombination rates, purifying, and positive selection, across different historical demographic scenarios, to broadly assess the impact of selection on demographic inference using a genealogy-based approach. Our results indicate that the linked effects of selection minimally impact demographic inference for human populations, although it could cause misinference in populations with similar genome architecture and population parameters experiencing more frequent recurrent sweeps. We found that accurate demographic inference of D. melanogaster populations by ARG-based methods is compromised by the presence of pervasive background selection alone, leading to spurious inferences of recent population expansion, which may be further worsened by recurrent sweeps, depending on the proportion and strength of beneficial mutations. Caution and additional testing with species-specific simulations are needed when inferring population history with non-human populations using ARG-based approaches to avoid misinference due to the linked effects of selection.
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Affiliation(s)
- Jacob I Marsh
- Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Parul Johri
- Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, NC 27599, USA
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13
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Librado P, Tressières G, Chauvey L, Fages A, Khan N, Schiavinato S, Calvière-Tonasso L, Kusliy MA, Gaunitz C, Liu X, Wagner S, Der Sarkissian C, Seguin-Orlando A, Perdereau A, Aury JM, Southon J, Shapiro B, Bouchez O, Donnadieu C, Collin YRH, Gregersen KM, Jessen MD, Christensen K, Claudi-Hansen L, Pruvost M, Pucher E, Vulic H, Novak M, Rimpf A, Turk P, Reiter S, Brem G, Schwall C, Barrey É, Robert C, Degueurce C, Horwitz LK, Klassen L, Rasmussen U, Kveiborg J, Johannsen NN, Makowiecki D, Makarowicz P, Szeliga M, Ilchyshyn V, Rud V, Romaniszyn J, Mullin VE, Verdugo M, Bradley DG, Cardoso JL, Valente MJ, Telles Antunes M, Ameen C, Thomas R, Ludwig A, Marzullo M, Prato O, Bagnasco Gianni G, Tecchiati U, Granado J, Schlumbaum A, Deschler-Erb S, Mráz MS, Boulbes N, Gardeisen A, Mayer C, Döhle HJ, Vicze M, Kosintsev PA, Kyselý R, Peške L, O'Connor T, Ananyevskaya E, Shevnina I, Logvin A, Kovalev AA, Iderkhangai TO, Sablin MV, Dashkovskiy PK, Graphodatsky AS, Merts I, Merts V, Kasparov AK, Pitulko VV, Onar V, Öztan A, Arbuckle BS, McColl H, Renaud G, Khaskhanov R, Demidenko S, Kadieva A, Atabiev B, Sundqvist M, Lindgren G, López-Cachero FJ, Albizuri S, Trbojević Vukičević T, Rapan Papeša A, Burić M, Rajić Šikanjić P, Weinstock J, Asensio Vilaró D, Codina F, García Dalmau C, Morer de Llorens J, Pou J, de Prado G, Sanmartí J, Kallala N, Torres JR, Maraoui-Telmini B, Belarte Franco MC, Valenzuela-Lamas S, Zazzo A, Lepetz S, Duchesne S, Alexeev A, Bayarsaikhan J, Houle JL, Bayarkhuu N, Turbat T, Crubézy É, Shingiray I, Mashkour M, Berezina NY, Korobov DS, Belinskiy A, Kalmykov A, Demoule JP, Reinhold S, Hansen S, Wallner B, Roslyakova N, Kuznetsov PF, Tishkin AA, Wincker P, Kanne K, Outram A, Orlando L. Widespread horse-based mobility arose around 2200 BCE in Eurasia. Nature 2024; 631:819-825. [PMID: 38843826 PMCID: PMC11269178 DOI: 10.1038/s41586-024-07597-5] [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: 07/17/2023] [Accepted: 05/23/2024] [Indexed: 07/19/2024]
Abstract
Horses revolutionized human history with fast mobility1. However, the timeline between their domestication and their widespread integration as a means of transport remains contentious2-4. Here we assemble a collection of 475 ancient horse genomes to assess the period when these animals were first reshaped by human agency in Eurasia. We find that reproductive control of the modern domestic lineage emerged around 2200 BCE, through close-kin mating and shortened generation times. Reproductive control emerged following a severe domestication bottleneck starting no earlier than approximately 2700 BCE, and coincided with a sudden expansion across Eurasia that ultimately resulted in the replacement of nearly every local horse lineage. This expansion marked the rise of widespread horse-based mobility in human history, which refutes the commonly held narrative of large horse herds accompanying the massive migration of steppe peoples across Europe around 3000 BCE and earlier3,5. Finally, we detect significantly shortened generation times at Botai around 3500 BCE, a settlement from central Asia associated with corrals and a subsistence economy centred on horses6,7. This supports local horse husbandry before the rise of modern domestic bloodlines.
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Affiliation(s)
- Pablo Librado
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France.
- Institut de Biologia Evolutiva (CSIC - Universitat Pompeu Fabra), Barcelona, Spain.
| | - Gaetan Tressières
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Lorelei Chauvey
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Antoine Fages
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Zoological institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Naveed Khan
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Department of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan
| | - Stéphanie Schiavinato
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Laure Calvière-Tonasso
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Mariya A Kusliy
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology, Novosibirsk, Russia
| | - Charleen Gaunitz
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Xuexue Liu
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Stefanie Wagner
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- INRAE Division Ecology and Biodiversity (ECODIV), Plant Genomic Resources Center (CNRGV), Castanet Tolosan Cedex, France
| | - Clio Der Sarkissian
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Andaine Seguin-Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Aude Perdereau
- Genoscope, Institut de Biologie François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, Évry, France
| | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, Évry, France
| | - John Southon
- Department of Earth System Science, University of California, Irvine, CA, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Yvette Running Horse Collin
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Taku Skan Skan Wasakliyapi: Global Institute for Traditional Sciences, Rapid City, SD, USA
| | | | - Mads Dengsø Jessen
- Department for Prehistory Middle Ages and Renaissance, National Museum of Denmark, Copenhagen K, Denmark
| | | | | | - Mélanie Pruvost
- UMR 5199 De la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie (PACEA), CNRS, Université de Bordeaux, Pessac Cédex, France
| | | | | | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | | | - Peter Turk
- Narodni muzej Slovenije, Ljubljana, Slovenia
| | - Simone Reiter
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Christoph Schwall
- Leibniz-Zentrum für Archäologie (LEIZA), Mainz, Germany
- Department of Prehistory & Western Asian/Northeast African Archaeology, Austrian Archaeological Institute (OeAI), Austrian Academy of Sciences (OeAW), Vienna, Austria
| | - Éric Barrey
- Université Paris-Saclay, AgroParisTech, INRAE GABI UMR1313, Jouy-en-Josas, France
| | - Céline Robert
- Université Paris-Saclay, AgroParisTech, INRAE GABI UMR1313, Jouy-en-Josas, France
- Ecole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France
| | | | - Liora Kolska Horwitz
- National Natural History Collections, Edmond J. Safra Campus, Givat Ram, The Hebrew University, Jerusalem, Israel
| | | | - Uffe Rasmussen
- Department of Archaeology, Moesgaard Museum, Højbjerg, Denmark
| | - Jacob Kveiborg
- Department of Archaeological Science and Conservation, Moesgaard Museum, Højbjerg, Denmark
| | | | - Daniel Makowiecki
- Institute of Archaeology, Faculty of History, Nicolaus Copernicus University, Toruń, Poland
| | | | - Marcin Szeliga
- Institute of Archaeology, Maria Curie-Skłodowska University, Lublin, Poland
| | - Vasyl Ilchyshyn
- Kremenetsko-Pochaivskii Derzhavnyi Istoriko-arkhitekturnyi Zapovidnik, Kremenets, Ukraine
| | - Vitalii Rud
- Institute of Archaeology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Jan Romaniszyn
- Faculty of Archaeology, Adam Mickiewicz University, Poznań, Poland
| | - Victoria E Mullin
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Marta Verdugo
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - João L Cardoso
- ICArEHB, Campus de Gambelas, University of Algarve, Faro, Portugal
- Universidade Aberta, Lisbon, Portugal
| | - Maria J Valente
- Faculdade de Ciências Humanas e Sociais, Centro de Estudos de Arqueologia, Artes e Ciências do Património, Universidade do Algarve, Faro, Portugal
| | - Miguel Telles Antunes
- Centre for Research on Science and Geological Engineering, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Carly Ameen
- Department of Archaeology and History, University of Exeter, Exeter, UK
| | - Richard Thomas
- School of Archaeology and Ancient History, University of Leicester, Leicester, UK
| | - Arne Ludwig
- Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research, Berlin, Germany
- Albrecht Daniel Thaer-Institute, Faculty of Life Sciences, Humboldt University Berlin, Berlin, Germany
| | - Matilde Marzullo
- Dipartimento di Beni Culturali e Ambientali, Università degli Studi di Milano, Milan, Italy
| | - Ornella Prato
- Dipartimento di Beni Culturali e Ambientali, Università degli Studi di Milano, Milan, Italy
| | | | - Umberto Tecchiati
- Dipartimento di Beni Culturali e Ambientali, Università degli Studi di Milano, Milan, Italy
| | - José Granado
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Angela Schlumbaum
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Sabine Deschler-Erb
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Monika Schernig Mráz
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Nicolas Boulbes
- Institut de Paléontologie Humaine, Fondation Albert Ier, Paris/UMR 7194 HNHP, MNHN-CNRS-UPVD/EPCC Centre Européen de Recherche Préhistorique, Tautavel, France
| | - Armelle Gardeisen
- Archéologie des Sociétés Méditeranéennes, Archimède IA-ANR-11-LABX-0032-01, CNRS UMR 5140, Université Paul Valéry, Montpellier, France
| | - Christian Mayer
- Department for Digitalization and Knowledge Transfer, Federal Monuments Authority Austria, Vienna, Austria
| | - Hans-Jürgen Döhle
- Landesamt für Denkmalpflege und Archäologie Sachsen-Anhalt - Landesmuseum für Vorgeschichte, Halle (Saale), Germany
| | - Magdolna Vicze
- National Institute of Archaeology, Hungarian National Museum, Budapest, Hungary
| | - Pavel A Kosintsev
- Paleoecology Laboratory, Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
- Department of History of the Institute of Humanities, Ural Federal University, Ekaterinburg, Russia
| | - René Kyselý
- Department of Natural Sciences and Archaeometry, Institute of Archaeology of the Czech Academy of Sciences, Prague, Czechia
| | | | | | - Elina Ananyevskaya
- Department of Archaeology, History Faculty, Vilnius University, Vilnius, Lithuania
| | - Irina Shevnina
- Laboratory for Archaeological Research, Akhmet Baitursynuly Kostanay Regional University, Kostanay, Kazakhstan
| | - Andrey Logvin
- Laboratory for Archaeological Research, Akhmet Baitursynuly Kostanay Regional University, Kostanay, Kazakhstan
| | - Alexey A Kovalev
- Department of Archaeological Heritage Preservation, Institute of Archaeology of the Russian Academy of Sciences, Moscow, Russia
| | - Tumur-Ochir Iderkhangai
- Department of Innovation and Technology, Ulaanbaatar Science and Technology Park, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Mikhail V Sablin
- Zoological Institute, Russian Academy of Sciences, St Petersburg, Russia
| | - Petr K Dashkovskiy
- Department of Russian Regional Studies, National and State-confessional Relations, Altai State University, Barnaul, Russia
| | - Alexander S Graphodatsky
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology, Novosibirsk, Russia
| | - Ilia Merts
- Toraighyrov University, Joint Research Center for Archeological Studies, Pavlodar, Kazakhstan
- Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Viktor Merts
- Toraighyrov University, Joint Research Center for Archeological Studies, Pavlodar, Kazakhstan
| | - Aleksei K Kasparov
- Institute of the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Vladimir V Pitulko
- Institute of the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
- Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences, St Petersburg, Russia
| | - Vedat Onar
- Osteoarchaeology Practice and Research Center and Department of Anatomy, Faculty of Veterinary Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
| | - Aliye Öztan
- Archaeology Department, Ankara University, Ankara, Türkiye
| | - Benjamin S Arbuckle
- Department of Anthropology, Alumni Building, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Gabriel Renaud
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Copenhagen, Denmark
| | - Ruslan Khaskhanov
- Kh. Ibragimov Complex Institute of the Russian Academy of Sciences (CI RAS), Grozny, Russia
| | - Sergey Demidenko
- Institute of Archaeology, Russian Academy of Sciences, Moscow, Russia
| | - Anna Kadieva
- Department of Archaeological Monuments, State Historical Museum, Moscow, Russian Federation
| | | | | | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Center for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Leuven, Belgium
| | - F Javier López-Cachero
- Institut d'Arqueologia de la Universitat de Barcelona (IAUB), Seminari d'Estudis i Recerques Prehistoriques (SERP-UB), Universitat de Barcelona (UB), Barcelona, Spain
| | - Silvia Albizuri
- Institut d'Arqueologia de la Universitat de Barcelona (IAUB), Seminari d'Estudis i Recerques Prehistoriques (SERP-UB), Universitat de Barcelona (UB), Barcelona, Spain
| | - Tajana Trbojević Vukičević
- Department of Anatomy, Histology and Embryology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | | | - Marcel Burić
- Department of Archaeology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | | | - Jaco Weinstock
- Faculty of Arts and Humanities (Archaeology), University of Southampton, Southampton, UK
| | - David Asensio Vilaró
- Secció de Prehistòria i Arqueologia, IAUB Institut d'Arqueologia de la Universitat de Barcelona, Barcelona, Spain
| | - Ferran Codina
- C/Major, 20, Norfeu, Arqueologia Art i Patrimoni S.C., La Tallada d'Empordà, Spain
| | | | | | - Josep Pou
- Ajuntament de Calafell, Calafell (Tarragona), Spain
| | - Gabriel de Prado
- Museu d'Arqueologia de Catalunya (MAC-Ullastret), Ullastret, Spain
| | - Joan Sanmartí
- IEC-Institut d'Estudis Catalans (Union Académique Internationale), Barcelona, Spain
- Departament d'Història i Arqueologia, Facultat de Geografia i Història, Universitat de Barcelona, Barcelona, Spain
| | - Nabil Kallala
- Ecole Tunisienne d'Histoire et d'Anthropologie, Tunis, Tunisia
- University of Tunis, Institut National du Patrimoine, Tunis, Tunisia
| | | | | | - Maria-Carme Belarte Franco
- IEC-Institut d'Estudis Catalans (Union Académique Internationale), Barcelona, Spain
- ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
- ICAC (Catalan Institute of Classical Archaeology), Tarragona, Spain
| | - Silvia Valenzuela-Lamas
- Archaeology of Social Dynamics (ASD), Institució Milà i Fontanals, Consejo Superior de Investigaciones Científicas (IMF-CSIC), Barcelona, Spain
- UNIARQ - Unidade de Arqueologia, Universidade de Lisboa, Alameda da Universidade, Lisboa, Portugal
| | - Antoine Zazzo
- Centre National de Recherche Scientifique, Muséum national d'Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Sébastien Lepetz
- Centre National de Recherche Scientifique, Muséum national d'Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Sylvie Duchesne
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Anatoly Alexeev
- Institute for Humanities Research and Indigenous Studies of the North (IHRISN), Yakutsk, Russia
| | - Jamsranjav Bayarsaikhan
- Max Planck Institute of Geoanthropology, Jena, Germany
- Institute of Archaeology, Mongolian Academy of Science, Ulaanbaatar, Mongolia
| | - Jean-Luc Houle
- Department of Folk Studies and Anthropology, Western Kentucky University, Bowling Green, KY, USA
| | - Noost Bayarkhuu
- Archaeological Research Center and Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Tsagaan Turbat
- Archaeological Research Center and Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Éric Crubézy
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | | | - Marjan Mashkour
- Centre National de Recherche Scientifique, Muséum national d'Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
- Central Laboratory, Bioarchaeology Laboratory, Archaeozoology section, University of Tehran, Tehran, Iran
| | - Natalia Ya Berezina
- Research Institute and Museum of Anthropology, Lomonosov Moscow State University, Moscow, Russia
| | - Dmitriy S Korobov
- Institute of Archaeology, Russian Academy of Sciences, Moscow, Russia
| | | | | | - Jean-Paul Demoule
- UMR du CNRS 8215 Trajectoires, Institut d'Art et Archéologie, Paris, France
| | - Sabine Reinhold
- Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Svend Hansen
- Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Barbara Wallner
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Natalia Roslyakova
- Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - Pavel F Kuznetsov
- Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - Alexey A Tishkin
- Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, Évry, France
| | - Katherine Kanne
- Department of Archaeology and History, University of Exeter, Exeter, UK
- School of Archaeology, University College Dublin, Dublin, Ireland
| | - Alan Outram
- Department of Archaeology and History, University of Exeter, Exeter, UK
| | - Ludovic Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France.
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14
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Cavill EL, Morales HE, Sun X, Westbury MV, van Oosterhout C, Accouche W, Zora A, Schulze MJ, Shah N, Adam P, Brooke MDL, Sweet P, Gopalakrishnan S, Gilbert MTP. When birds of a feather flock together: Severe genomic erosion and the implications for genetic rescue in an endangered island passerine. Evol Appl 2024; 17:e13739. [PMID: 38948538 PMCID: PMC11212007 DOI: 10.1111/eva.13739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 05/22/2024] [Accepted: 06/04/2024] [Indexed: 07/02/2024] Open
Abstract
The Seychelles magpie-robin's (SMR) five island populations exhibit some of the lowest recorded levels of genetic diversity among endangered birds, and high levels of inbreeding. These populations collapsed during the 20th century, and the species was listed as Critically Endangered in the IUCN Red List in 1994. An assisted translocation-for-recovery program initiated in the 1990s increased the number of mature individuals, resulting in its downlisting to Endangered in 2005. Here, we explore the temporal genomic erosion of the SMR based on a dataset of 201 re-sequenced whole genomes that span the past ~150 years. Our sample set includes individuals that predate the bottleneck by up to 100 years, as well as individuals from contemporary populations established during the species recovery program. Despite the SMR's recent demographic recovery, our data reveal a marked increase in both the genetic load and realized load in the extant populations when compared to the historical samples. Conservation management may have reduced the intensity of selection by increasing juvenile survival and relaxing intraspecific competition between individuals, resulting in the accumulation of loss-of-function mutations (i.e. severely deleterious variants) in the rapidly recovering population. In addition, we found a 3-fold decrease in genetic diversity between temporal samples. While the low genetic diversity in modern populations may limit the species' adaptability to future environmental changes, future conservation efforts (including IUCN assessments) may also need to assess the threats posed by their high genetic load. Our computer simulations highlight the value of translocations for genetic rescue and show how this could halt genomic erosion in threatened species such as the SMR.
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Affiliation(s)
- Emily L. Cavill
- The Globe Institute, University of CopenhagenCopenhagenDenmark
| | | | - Xin Sun
- The Globe Institute, University of CopenhagenCopenhagenDenmark
| | | | - Cock van Oosterhout
- School of Environmental SciencesUniversity of East Anglia, Norwich Research ParkNorwichUK
| | | | - Anna Zora
- Fregate Island Sanctuary LtdVictoriaSeychelles
| | | | | | | | | | - Paul Sweet
- American Museum of Natural HistoryNew YorkUSA
| | | | - M. Thomas P. Gilbert
- The Globe Institute, University of CopenhagenCopenhagenDenmark
- University Museum, Norwegian University of Science and TechnologyTrondheimNorway
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15
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Cars BS, Kessler C, Hoffman EA, Côté SD, Koelsch D, Shafer ABA. Island demographics and trait associations in white-tailed deer. Heredity (Edinb) 2024; 133:1-10. [PMID: 38802598 PMCID: PMC11222433 DOI: 10.1038/s41437-024-00685-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/29/2024] Open
Abstract
When a population is isolated and composed of few individuals, genetic drift is the paramount evolutionary force and results in the loss of genetic diversity. Inbreeding might also occur, resulting in genomic regions that are identical by descent, manifesting as runs of homozygosity (ROHs) and the expression of recessive traits. Likewise, the genes underlying traits of interest can be revealed by comparing fixed SNPs and divergent haplotypes between affected and unaffected individuals. Populations of white-tailed deer (Odocoileus virginianus) on islands of Saint Pierre and Miquelon (SPM, France) have high incidences of leucism and malocclusions, both considered genetic defects; on the Florida Keys islands (USA) deer exhibit smaller body sizes, a polygenic trait. Here we aimed to reconstruct island demography and identify the genes associated with these traits in a pseudo case-control design. The two island populations showed reduced levels of genomic diversity and a build-up of deleterious mutations compared to mainland deer; there was also significant genome-wide divergence in Key deer. Key deer showed higher inbreeding levels, but not longer ROHs, consistent with long-term isolation. We identified multiple trait-related genes in ROHs including LAMTOR2 which has links to pigmentation changes, and NPVF which is linked to craniofacial abnormalities. Our mixed approach of linking ROHs, fixed SNPs and haplotypes matched a high number (~50) of a-priori body size candidate genes in Key deer. This suite of biomarkers and candidate genes should prove useful for population monitoring, noting all three phenotypes show patterns consistent with a complex trait and non-Mendelian inheritance.
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Affiliation(s)
- Brooklyn S Cars
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
- Department of Forensics, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
| | - Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
| | - Eric A Hoffman
- Department of Biology, University of Central Florida, 4000, Central Florida Blvd, Orlando, FL, USA
| | - Steeve D Côté
- Département de Biologie and Centre d'Études Nordiques, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Daniel Koelsch
- Fédération des chasseurs de Saint-Pierre et Miquelon, Saint-Pierre et Miquelon, France
- Direction des Territoires de l'Alimentation et de la Mer, service Biodiversité, Saint-Pierre et Miquelon, France
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
- Department of Forensics, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
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16
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Ramljak J, Špehar M, Ceranac D, Držaić V, Pocrnić I, Barać D, Mioč B, Širić I, Barać Z, Ivanković A, Kasap A. Genomic Characterization of Local Croatian Sheep Breeds-Effective Population Size, Inbreeding & Signatures of Selection. Animals (Basel) 2024; 14:1928. [PMID: 38998043 PMCID: PMC11240672 DOI: 10.3390/ani14131928] [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: 06/05/2024] [Revised: 06/21/2024] [Accepted: 06/24/2024] [Indexed: 07/14/2024] Open
Abstract
The Istrian (IS) and the Pag sheep (PS) are local Croatian breeds which provide significant income for the regional economy and have a cultural and traditional importance for the inhabitants. The aim of this study was to estimate some important population specific genetic parameters in IS (N = 1293) and PS (N = 2637) based on genome wide SNPs. Estimates of linkage disequilibrium effective population size (Ne) evidenced more genetic variability in PS (Ne = 838) compared to IS (Ne = 197), regardless of historical time (both recent and ancient genetic variability). The discrepancy in the recent genetic variability between these breeds was additionally confirmed by the estimates of genomic inbreeding (FROH), which was estimated to be notably higher in IS (FROH>2 = 0.062) than in PS (FROH>2 = 0.029). The average FROH2-4, FROH4-8, FROH8-16, and FROH>16 were 0.26, 1.65, 2.14, and 3.72 for IS and 0.22, 0.61, 0.75, and 1.58 for PS, thus evidencing a high contribution of recent inbreeding in the overall inbreeding. One ROH island with > 30% of SNP incidence in ROHs was detected in IS (OAR6; 34,253,440-38,238,124 bp) while there was no ROH islands detected in PS. Seven genes (CCSER1, HERC3, LCORL, NAP1L5, PKD2, PYURF, and SPP1) involved in growth, feed intake, milk production, immune responses, and resistance were associated with the found autozygosity. The results of this study represent the first comprehensive insight into genomic variability of these two Croatian local sheep breeds and will serve as a baseline for setting up the most promising strategy of genomic Optimum Contribution Selection.
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Affiliation(s)
- Jelena Ramljak
- Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia; (V.D.); (B.M.); (I.Š.); (A.I.); (A.K.)
| | - Marija Špehar
- Croatian Agency for Agriculture and Food, 10000 Zagreb, Croatia; (M.Š.); (D.C.); (D.B.)
| | - Dora Ceranac
- Croatian Agency for Agriculture and Food, 10000 Zagreb, Croatia; (M.Š.); (D.C.); (D.B.)
| | - Valentino Držaić
- Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia; (V.D.); (B.M.); (I.Š.); (A.I.); (A.K.)
| | - Ivan Pocrnić
- The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK;
| | - Dolores Barać
- Croatian Agency for Agriculture and Food, 10000 Zagreb, Croatia; (M.Š.); (D.C.); (D.B.)
| | - Boro Mioč
- Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia; (V.D.); (B.M.); (I.Š.); (A.I.); (A.K.)
| | - Ivan Širić
- Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia; (V.D.); (B.M.); (I.Š.); (A.I.); (A.K.)
| | | | - Ante Ivanković
- Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia; (V.D.); (B.M.); (I.Š.); (A.I.); (A.K.)
| | - Ante Kasap
- Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia; (V.D.); (B.M.); (I.Š.); (A.I.); (A.K.)
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17
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Vostry L, Vostra-Vydrova H, Moravcikova N, Kasarda R, Margetin M, Rychtarova J, Drzaic I, Shihabi M, Cubric-Curik V, Sölkner J, Curik I. Genomic analysis of conservation status, population structure and admixture in local Czech and Slovak dairy goat breeds. J Dairy Sci 2024:S0022-0302(24)00937-8. [PMID: 38908686 DOI: 10.3168/jds.2023-24607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 05/30/2024] [Indexed: 06/24/2024]
Abstract
While dairy goat production, characterized by traditional production on small farms, is an important source of income in the Czech Republic and Slovakia, locally adapted breeds have not been fully consolidated over the last 100 years due to large fluctuations in population size and inconsistent breeding programs that allowed for different crossbreeding strategies. Our main objective in this study was therefore to assess the conservation status of 4 Czech (Alpine Goat, White Shorthair, Brown Shorthair and Czech Landrace) and one Slovak (Slovak White Shorthair) local goat breeds, to analyze their population structure and admixture, and to estimate their relatedness to several neighboring breeds. Our analyses included 142 goats belonging to 5 local breeds genotyped with the Illumina 50K BeadChip and 618 previously genotyped animals representing 15 goat breeds from Austria and Switzerland (all analyses based on 46,862 autosomal SNPs and 760 animals). In general, the conservation status of the Czech and Slovak local goat breeds was satisfactory, with the exception of the Brown Shorthair goat, as the analyzed parameters (heterozygosity, haplotype richness, ROH-based inbreeding and effective population size) were mostly above the median of 20 breeds. However, for all 5 Czech and Slovakian breeds, an examination of historical effective population size indicated a substantial decline about 8 to 22 generations ago. In addition, our study revealed that the Czech and Slovakian breeds are not fully consolidated; for instance, White Shorthair and Brown Shorthair were not clearly distinguishable. Considerable admixture, especially in Czech Landrace (effective number of parental clusters equal to 4.2), and low but numerous migration rates from other Austrian and Swiss breeds were found. These results provide valuable insights for future breeding programs and genetic diversity management of local Czech and Slovak goat breeds.
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Affiliation(s)
- Lubos Vostry
- Czech University of Life Science Prague, Kamycka 129, 16500 Prague, Czech Republic.
| | - Hana Vostra-Vydrova
- Czech University of Life Science Prague, Kamycka 129, 16500 Prague, Czech Republic
| | - Nina Moravcikova
- Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 94976 Nitra, Slovak Republic
| | - Radovan Kasarda
- Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 94976 Nitra, Slovak Republic
| | - Milan Margetin
- Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 94976 Nitra, Slovak Republic
| | - Jana Rychtarova
- Institute of Animal Science, Přátelství 815, 104 00 Prague, Czech Republic
| | - Ivana Drzaic
- University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia
| | - Mario Shihabi
- University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia
| | - Vlatka Cubric-Curik
- University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia
| | - Johan Sölkner
- University of Natural Resources & Life Sciences Vienna, Gregor-Mendel-Strasse 33, 1180 Vienna, Austria
| | - Ino Curik
- University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia; Institute of Animal Sciences, Hungarian University of Agriculture and Life Sciences (MATE), Guba Sándor u. 40, 7400 Kaposvár, Hungary.
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18
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Wang Y, Yang Y, Han Z, Li J, Luo J, Yang H, Kuang J, Wu D, Wang S, Tso S, Ju T, Liu J, Renner SS, Kangshan M. Efficient purging of deleterious mutations contributes to the survival of a rare conifer. HORTICULTURE RESEARCH 2024; 11:uhae108. [PMID: 38883334 PMCID: PMC11179848 DOI: 10.1093/hr/uhae108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/01/2024] [Indexed: 06/18/2024]
Abstract
Cupressaceae is a conifer family rich in plants of horticultural importance, including Cupressus, Chamaecyparis, Juniperus, and Thuja, yet genomic surveys are lacking for this family. Cupressus gigantea, one of the many rare conifers that are threatened by climate change and anthropogenic habitat fragmentation, plays an ever-increasing role in ecotourism in Tibet. To infer how past climate change has shaped the population evolution of this species, we generated a de novo chromosome-scale genome (10.92 Gb) and compared the species' population history and genetic load with that of a widespread close relative, C. duclouxiana. Our demographic analyses, based on 83 re-sequenced individuals from multiple populations of the two species, revealed a sharp decline of population sizes during the first part of the Quaternary. However, populations of C. duclouxiana then started to recover, while C. gigantea populations continued to decrease until recently. The total genomic diversity of C. gigantea is smaller than that of C. duclouxiana, but contrary to expectations, C. gigantea has fewer highly and mildly deleterious mutations than C. duclouxiana, and simulations and statistical tests support purifying selection during prolonged inbreeding as the explanation. Our results highlight the evolutionary consequences of decreased population size on the genetic burden of a long-lived endangered conifer with large genome size and suggest that genetic purging deserves more attention in conservation management.
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Affiliation(s)
- Yi Wang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Yongzhi Yang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou 730000, China
| | - Zhitong Han
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Jialiang Li
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Jian Luo
- Xizang Key Laboratory of Forest Ecology in Plateau Area of Ministry of Education, National Key Station of Field Scientific Observation & Experiment of Alpine Forest Ecology System in Nyingchi, Research Institute of Xizang Plateau Ecology, Xizang Agriculture & Animal Husbandry University, Nyingchi 860000, China
| | - Heng Yang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Jingge Kuang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Dayu Wu
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Shiyang Wang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Sonam Tso
- School of Ecology and Environment, Tibet University, Lhasa 850000, China
| | - Tsam Ju
- School of Ecology and Environment, Tibet University, Lhasa 850000, China
| | - Jianquan Liu
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Susanne S Renner
- Department of Biology, Washington University, Saint Louis, MO 63130, USA
| | - Mao Kangshan
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
- School of Ecology and Environment, Tibet University, Lhasa 850000, China
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19
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Imamoto M, Nakamura H, Aibara M, Hatashima R, Kimirei IA, Kashindye BB, Itoh T, Nikaido M. Severe Bottleneck Impacted the Genomic Structure of Egg-Eating Cichlids in Lake Victoria. Mol Biol Evol 2024; 41:msae093. [PMID: 38782570 PMCID: PMC11166178 DOI: 10.1093/molbev/msae093] [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: 08/04/2023] [Revised: 05/03/2024] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
Within 15,000 years, the explosive adaptive radiation of haplochromine cichlids in Lake Victoria, East Africa, generated 500 endemic species. In the 1980s, the upsurge of Nile perch, a carnivorous fish artificially introduced to the lake, drove the extinction of more than 200 endemic cichlids. The Nile perch predation particularly harmed piscivorous cichlids, including paedophages, cichlids eat eggs and fries, which is an example of the unique trophic adaptation seen in African cichlids. Here, aiming to investigate past demographic events possibly triggered by the invasion of Nile perch and the subsequent impacts on the genetic structure of cichlids, we conducted large-scale comparative genomics. We discovered evidence of recent bottleneck events in 4 species, including 2 paedophages, which began during the 1970s to 1980s, and population size rebounded during the 1990s to 2000s. The timing of the bottleneck corresponded to the historical records of endemic haplochromines" disappearance and later resurgence, which is likely associated with the introduction of Nile perch by commercial demand to Lake Victoria in the 1950s. Interestingly, among the 4 species that likely experienced bottleneck, Haplochromis sp. "matumbi hunter," a paedophagous cichlid, showed the most severe bottleneck signatures. The components of shared ancestry inferred by ADMIXTURE suggested a high genetic differentiation between matumbi hunter and other species. In contrast, our phylogenetic analyses highly supported the monophyly of the 5 paedophages, consistent with the results of previous studies. We conclude that high genetic differentiation of matumbi hunter occurred due to the loss of shared genetic components among haplochromines in Lake Victoria caused by the recent severe bottleneck.
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Affiliation(s)
- Minami Imamoto
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Haruna Nakamura
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
- Research Center for Integrative Evolutionary Science, The Graduate University for Advanced Studies, SOKENDAI, Kanagawa, Japan
| | - Mitsuto Aibara
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Ryo Hatashima
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Ismael A Kimirei
- Tanzania Fisheries Research Institute (TAFIRI), Dar es Salaam, Tanzania
| | | | - Takehiko Itoh
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Masato Nikaido
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
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20
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Clarke SH, Lawrence ER, Matte JM, Gallagher BK, Salisbury SJ, Michaelides SN, Koumrouyan R, Ruzzante DE, Grant JWA, Fraser DJ. Global assessment of effective population sizes: Consistent taxonomic differences in meeting the 50/500 rule. Mol Ecol 2024; 33:e17353. [PMID: 38613250 DOI: 10.1111/mec.17353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024]
Abstract
Effective population size (Ne) is a particularly useful metric for conservation as it affects genetic drift, inbreeding and adaptive potential within populations. Current guidelines recommend a minimum Ne of 50 and 500 to avoid short-term inbreeding and to preserve long-term adaptive potential respectively. However, the extent to which wild populations reach these thresholds globally has not been investigated, nor has the relationship between Ne and human activities. Through a quantitative review, we generated a dataset with 4610 georeferenced Ne estimates from 3829 populations, extracted from 723 articles. These data show that certain taxonomic groups are less likely to meet 50/500 thresholds and are disproportionately impacted by human activities; plant, mammal and amphibian populations had a <54% probability of reachingN ̂ e = 50 and a <9% probability of reachingN ̂ e = 500. Populations listed as being of conservation concern according to the IUCN Red List had a smaller medianN ̂ e than unlisted populations, and this was consistent across all taxonomic groups.N ̂ e was reduced in areas with a greater Global Human Footprint, especially for amphibians, birds and mammals, however relationships varied between taxa. We also highlight several considerations for future works, including the role that gene flow and subpopulation structure plays in the estimation ofN ̂ e in wild populations, and the need for finer-scale taxonomic analyses. Our findings provide guidance for more specific thresholds based on Ne and help prioritise assessment of populations from taxa most at risk of failing to meet conservation thresholds.
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Affiliation(s)
- Shannon H Clarke
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | | | - Jean-Michel Matte
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Brian K Gallagher
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Sarah J Salisbury
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Ramela Koumrouyan
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Daniel E Ruzzante
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - James W A Grant
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Dylan J Fraser
- Department of Biology, Concordia University, Montreal, Quebec, Canada
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21
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Garroway CJ, de Greef E, Lefort KJ, Thorstensen MJ, Foote AD, Matthews CJD, Higdon JW, Kucheravy CE, Petersen SD, Rosing-Asvid A, Ugarte F, Dietz R, Ferguson SH. Climate change introduces threatened killer whale populations and conservation challenges to the Arctic. GLOBAL CHANGE BIOLOGY 2024; 30:e17352. [PMID: 38822670 DOI: 10.1111/gcb.17352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 06/03/2024]
Abstract
The Arctic is the fastest-warming region on the planet, and the lengthening ice-free season is opening Arctic waters to sub-Arctic species such as the killer whale (Orcinus orca). As apex predators, killer whales can cause significant ecosystem-scale changes. Setting conservation priorities for killer whales and their Arctic prey species requires knowledge of their evolutionary history and demographic trajectory. Using whole-genome resequencing of 24 killer whales sampled in the northwest Atlantic, we first explored the population structure and demographic history of Arctic killer whales. To better understand the broader geographic relationship of these Arctic killer whales to other populations, we compared them to a globally sampled dataset. Finally, we assessed threats to Arctic killer whales due to anthropogenic harvest by reviewing the peer-reviewed and gray literature. We found that there are two highly genetically distinct, non-interbreeding populations of killer whales using the eastern Canadian Arctic. These populations appear to be as genetically different from each other as are ecotypes described elsewhere in the killer whale range; however, our data cannot speak to ecological differences between these populations. One population is newly identified as globally genetically distinct, and the second is genetically similar to individuals sampled from Greenland. The effective sizes of both populations recently declined, and both appear vulnerable to inbreeding and reduced adaptive potential. Our survey of human-caused mortalities suggests that harvest poses an ongoing threat to both populations. The dynamic Arctic environment complicates conservation and management efforts, with killer whales adding top-down pressure on Arctic food webs crucial to northern communities' social and economic well-being. While killer whales represent a conservation priority, they also complicate decisions surrounding wildlife conservation and resource management in the Arctic amid the effects of climate change.
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Affiliation(s)
- Colin J Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Evelien de Greef
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kyle J Lefort
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| | - Matt J Thorstensen
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Andrew D Foote
- Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway
| | - Cory J D Matthews
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| | - Jeff W Higdon
- Higdon Wildlife Consulting, Winnipeg, Manitoba, Canada
| | - Caila E Kucheravy
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| | - Stephen D Petersen
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Conservation and Research Department, Assiniboine Park Zoo, Winnipeg, Manitoba, Canada
| | | | | | - Rune Dietz
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Steven H Ferguson
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
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22
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Zhang MY, Cao RD, Chen Y, Ma JC, Shi CM, Zhang YF, Zhang JX, Zhang YH. Genomic and Phenotypic Adaptations of Rattus tanezumi to Cold Limit Its Further Northward Expansion and Range Overlap with R. norvegicus. Mol Biol Evol 2024; 41:msae106. [PMID: 38829799 PMCID: PMC11184353 DOI: 10.1093/molbev/msae106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 05/19/2024] [Accepted: 05/28/2024] [Indexed: 06/05/2024] Open
Abstract
Global climate change has led to shifts in the distribution ranges of many terrestrial species, promoting their migration from lower altitudes or latitudes to higher ones. Meanwhile, successful invaders have developed genetic adaptations enabling the colonization of new environments. Over the past 40 years, Rattus tanezumi (RT) has expanded into northern China (Northwest and North China) from its southern origins. We studied the cold adaptation of RT and its potential for northward expansion by comparing it with sympatric Rattus norvegicus (RN), which is well adapted to cold regions. Through population genomic analysis, we revealed that the invading RT rats have split into three distinct populations: the North, Northwest, and Tibetan populations. The first two populations exhibited high genetic diversity, while the latter population showed remarkably low genetic diversity. These rats have developed various genetic adaptations to cold, arid, hypoxic, and high-UV conditions. Cold acclimation tests revealed divergent thermoregulation between RT and RN. Specifically, RT exhibited higher brown adipose tissue activity and metabolic rates than did RN. Transcriptome analysis highlighted changes in genes regulating triglyceride catabolic processes in RT, including Apoa1 and Apoa4, which were upregulated, under selection and associated with local adaptation. In contrast, RN showed changes in carbohydrate metabolism genes. Despite the cold adaptation of RT, we observed genotypic and phenotypic constraints that may limit its ability to cope with severe low temperatures farther north. Consequently, it is less likely that RT rats will invade and overlap with RN rats in farther northern regions.
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Affiliation(s)
- Ming-Yu Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rui-Dong Cao
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Chen
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jian-Cang Ma
- Zhangye Maize Stock Production Base, Zhangye 734024, Gansu, China
| | - Cheng-Min Shi
- College of Plant Protection, Hebei Agricultural University, Baoding 071001, Hebei, China
| | - Yun-Feng Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian-Xu Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yao-Hua Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, Anhui, China
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23
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Gudra D, Valdovska A, Kairisa D, Galina D, Jonkus D, Ustinova M, Viksne K, Kalnina I, Fridmanis D. Genomic diversity of the locally developed Latvian Darkheaded sheep breed. Heliyon 2024; 10:e31455. [PMID: 38807890 PMCID: PMC11130721 DOI: 10.1016/j.heliyon.2024.e31455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024] Open
Abstract
The Latvian Darkheaded is the only locally developed sheep breed. The breed was formed at the beginning of the 20th century by crossing local coarse-wooled sheep with the British Shropshire and Oxfordshire breeds. The breed was later improved by adding Ile-de-France, Texel, German blackheads, and Finnsheep to achieve higher prolificacy and better meat quality. Previous studies have reported the Latvian Darkheaded sheep to be closely related to Estonian and Lithuanian Blackface breeds, according to microsatellite data. To expand our knowledge of the genetic resources of the Latvian Darkheaded breed, we conducted a whole-genome resequencing analysis on 40 native sheep. The investigation showed that local sheep harbor genetic diversity levels similar to those observed among other improved breeds of European origin, including Charollais and Suffolk. Genome-wide nucleotide diversity (π) in Latvian Darkheaded sheep was 3.91 × 10-3, whereas the average observed heterozygosity among the 40 animals was 0.267 and 0.438 within the subsample of unrelated individuals. The Ne has rapidly decreased to 200 ten generations ago with a recent drop to Ne 73 four generations ago. However, inbreeding levels based on runs of homozygosity were, on average, low, with FROH ranging between 0.016 and 0.059. The analysis of the genomic composition of the breed confirmed shared ancestry with sheep of British origin, reflecting the history of the breed. Nevertheless, Latvian Darkheaded sheep were genetically separable. The contemporary Latvian Darkheaded sheep population is genetically diverse with a low inbreeding rate. However, further development of breed management programs is necessary to prevent an increase in inbreeding, loss of genetic diversity, and depletion of breed-specific genetic resources, ensuring the preservation of the native Latvian Darkheaded sheep.
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Affiliation(s)
- Dita Gudra
- Latvian Biomedical Research and Study Centre, Riga, LV, 1067, Latvia
| | - Anda Valdovska
- Latvia University of Life Sciences and Technologies, Jelgava, LV, 3001, Latvia
| | - Daina Kairisa
- Latvia University of Life Sciences and Technologies, Jelgava, LV, 3001, Latvia
| | - Daiga Galina
- Latvia University of Life Sciences and Technologies, Jelgava, LV, 3001, Latvia
| | - Daina Jonkus
- Latvia University of Life Sciences and Technologies, Jelgava, LV, 3001, Latvia
| | - Maija Ustinova
- Latvian Biomedical Research and Study Centre, Riga, LV, 1067, Latvia
| | - Kristine Viksne
- Latvian Biomedical Research and Study Centre, Riga, LV, 1067, Latvia
| | - Ineta Kalnina
- Latvian Biomedical Research and Study Centre, Riga, LV, 1067, Latvia
| | - Davids Fridmanis
- Latvian Biomedical Research and Study Centre, Riga, LV, 1067, Latvia
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24
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Kardos M, Waples RS. Low-coverage sequencing and Wahlund effect severely bias estimates of inbreeding, heterozygosity and effective population size in North American wolves. Mol Ecol 2024:e17415. [PMID: 38785346 DOI: 10.1111/mec.17415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 05/03/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024]
Abstract
vonHoldt et al. ((2024), Molecular Ecology, 33, e17231) (vH24) used low-coverage (average ~ 7X read depth) restriction site-associated DNA sequence data to estimate individual inbreeding and heterozygosity, and recent effective population size (Ne), in Great Lakes (GL) and Northern Rocky Mountain (RM) wolves. They concluded that RM heterozygosity rapidly declined between 1991 and 2020, and that Ne declined substantially in GL and RM over the last 50 generations. Here, we evaluate the effects of low sequence coverage and sampling strategy on vH24's findings and provide general recommendations for using sequence data to evaluate inbreeding, heterozygosity and Ne. Low-coverage sequencing resulted in downwardly biased estimates of individual inbreeding and heterozygosity, and an erroneous large temporal decline in RM heterozygosity due to declining read depth through time. Additionally, vH24's sampling strategy-which combined individuals from several genetically differentiated populations and across at least eight wolf generations-is expected to have resulted in severe downward bias in estimates of recent Ne for RM. We recommend using high-coverage sequence data (≥ $$ \ge $$ 15-20X) to estimate inbreeding and heterozygosity. Carefully filtering individuals, loci and genotypes, and using genotype imputation or likelihoods can help to minimise bias when low-coverage sequence data must be used. For estimation of contemporary Ne, the marginal benefits of using more than 103-104 loci are small, so aggressive filtering of loci with low average read depth potentially can retain most individuals without sacrificing much precision. Individuals are relatively more valuable than loci because analyses of contemporary Ne should focus on roughly single-generation samples from local breeding populations.
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Affiliation(s)
- Marty Kardos
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
| | - Robin S Waples
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA
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25
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Fan Z, Whitaker VM. Genomic signatures of strawberry domestication and diversification. THE PLANT CELL 2024; 36:1622-1636. [PMID: 38113879 PMCID: PMC11062436 DOI: 10.1093/plcell/koad314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/20/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
Cultivated strawberry (Fragaria × ananassa) has a brief history of less than 300 yr, beginning with the hybridization of octoploids Fragaria chiloensis and Fragaria virginiana. Here we explored the genomic signatures of early domestication and subsequent diversification for different climates using whole-genome sequences of 289 wild, heirloom, and modern varieties from two major breeding programs in the United States. Four nonadmixed wild octoploid populations were identified, with recurrent introgression among the sympatric populations. The proportion of F. virginiana ancestry increased by 20% in modern varieties over initial hybrids, and the proportion of F. chiloensis subsp. pacifica rose from 0% to 3.4%. Effective population size rapidly declined during early breeding. Meanwhile, divergent selection for distinct environments reshaped wild allelic origins in 21 out of 28 chromosomes. Overlapping divergent selective sweeps in natural and domesticated populations revealed 16 convergent genomic signatures that may be important for climatic adaptation. Despite 20 breeding cycles since initial hybridization, more than half of loci underlying yield and fruit size are still not under artificial selection. These insights add clarity to the domestication and breeding history of what is now the most widely cultivated fruit in the world.
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Affiliation(s)
- Zhen Fan
- Horticultural Sciences Department, University of Florida, IFAS Gulf Coast Research and Education Center, Wimauma, FL 33597, USA
| | - Vance M Whitaker
- Horticultural Sciences Department, University of Florida, IFAS Gulf Coast Research and Education Center, Wimauma, FL 33597, USA
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26
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Bhardwaj S, Togla O, Mumtaz S, Yadav N, Tiwari J, Muansangi L, Illa SK, Wani YM, Mukherjee S, Mukherjee A. Comparative assessment of the effective population size and linkage disequilibrium of Karan Fries cattle revealed viable population dynamics. Anim Biosci 2024; 37:795-806. [PMID: 37946419 PMCID: PMC11065711 DOI: 10.5713/ab.23.0263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 08/21/2023] [Accepted: 10/20/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE Karan Fries (KF), a high-producing composite cattle was developed through crossing indicine Tharparkar cows with taurine bulls (Holstein Friesian, Brown Swiss, and Jersey), to increase the milk yield across India. This composite cattle population must maintain sufficient genetic diversity for long-term development and breed improvement in the coming years. The level of linkage disequilibrium (LD) measures the influence of population genetic forces on the genomic structure and provides insights into the evolutionary history of populations, while the decay of LD is important in understanding the limits of genome-wide association studies for a population. Effective population size (Ne) which is genomically based on LD accumulated over the course of previous generations, is a valuable tool for e valuation of the genetic diversity and level of inbreeding. The present study was undertaken to understand KF population dynamics through the estimation of Ne and LD for the longterm sustainability of these breeds. METHODS The present study included 96 KF samples genotyped using Illumina HDBovine array to estimate the effective population and examine the LD pattern. The genotype data were also obtained for other crossbreds (Santa Gertrudis, Brangus, and Beefmaster) and Holstein Friesian cattle for comparison purposes. RESULTS The average LD between single nucleotide polymorphisms (SNPs) was r2 = 0.13 in the present study. LD decay (r2 = 0.2) was observed at 40 kb inter-marker distance, indicating a panel with 62,765 SNPs was sufficient for genomic breeding value estimation in KF cattle. The pedigree-based Ne of KF was determined to be 78, while the Ne estimates obtained using LD-based methods were 52 (SNeP) and 219 (genetic optimization for Ne estimation), respectively. CONCLUSION KF cattle have an Ne exceeding the FAO's minimum recommended level of 50, which was desirable. The study also revealed significant population dynamics of KF cattle and increased our understanding of devising suitable breeding strategies for longterm sustainable development.
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Affiliation(s)
- Shivam Bhardwaj
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Oshin Togla
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Shabahat Mumtaz
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Nistha Yadav
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
- Department of Animal Genetics and Breeding, CVAS, RAJUVAS, Bikaner 334001, Rajasthan,
India
| | - Jigyasha Tiwari
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Lal Muansangi
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Satish Kumar Illa
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
- Livestock Research Station, Garividi Sri Venkateswara Veterinary University, Andhra Pradesh 535101,
India
| | - Yaser Mushtaq Wani
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Sabyasachi Mukherjee
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
| | - Anupama Mukherjee
- Animal Genetics and Breeding Division, ICAR- National Dairy Research Institute (NDRI), Karnal 132001, Haryana,
India
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27
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Gargiulo R, Decroocq V, González‐Martínez SC, Paz‐Vinas I, Aury J, Lesur Kupin I, Plomion C, Schmitt S, Scotti I, Heuertz M. Estimation of contemporary effective population size in plant populations: Limitations of genomic datasets. Evol Appl 2024; 17:e13691. [PMID: 38707994 PMCID: PMC11069024 DOI: 10.1111/eva.13691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 03/22/2024] [Accepted: 04/03/2024] [Indexed: 05/07/2024] Open
Abstract
Effective population size (N e) is a pivotal evolutionary parameter with crucial implications in conservation practice and policy. Genetic methods to estimate N e have been preferred over demographic methods because they rely on genetic data rather than time-consuming ecological monitoring. Methods based on linkage disequilibrium (LD), in particular, have become popular in conservation as they require a single sampling and provide estimates that refer to recent generations. A software program based on the LD method, GONE, looks particularly promising to estimate contemporary and recent-historical N e (up to 200 generations in the past). Genomic datasets from non-model species, especially plants, may present some constraints to the use of GONE, as linkage maps and reference genomes are seldom available, and SNP genotyping is usually based on reduced-representation methods. In this study, we use empirical datasets from four plant species to explore the limitations of plant genomic datasets when estimating N e using the algorithm implemented in GONE, in addition to exploring some typical biological limitations that may affect N e estimation using the LD method, such as the occurrence of population structure. We show how accuracy and precision of N e estimates potentially change with the following factors: occurrence of missing data, limited number of SNPs/individuals sampled, and lack of information about the location of SNPs on chromosomes, with the latter producing a significant bias, previously unexplored with empirical data. We finally compare the N e estimates obtained with GONE for the last generations with the contemporary N e estimates obtained with the programs currentNe and NeEstimator.
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Affiliation(s)
| | | | | | - Ivan Paz‐Vinas
- Department of BiologyColorado State UniversityFort CollinsColoradoUSA
- CNRS, ENTPE, UMR5023 LEHNAUniversité Claude Bernard Lyon 1VilleurbanneFrance
| | - Jean‐Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ EvryUniversité Paris‐SaclayEvryFrance
| | | | | | - Sylvain Schmitt
- AMAPUniv. Montpellier, CIRAD, CNRS, INRAE, IRDMontpellierFrance
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28
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Wooldridge B, Orland C, Enbody E, Escalona M, Mirchandani C, Corbett-Detig R, Kapp JD, Fletcher N, Cox-Ammann K, Raimondi P, Shapiro B. Limited genomic signatures of population collapse in the critically endangered black abalone (Haliotis cracherodii). Mol Ecol 2024:e17362. [PMID: 38682494 DOI: 10.1111/mec.17362] [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: 01/29/2024] [Revised: 04/05/2024] [Accepted: 04/09/2024] [Indexed: 05/01/2024]
Abstract
The black abalone, Haliotis cracherodii, is a large, long-lived marine mollusc that inhabits rocky intertidal habitats along the coast of California and Mexico. In 1985, populations were impacted by a bacterial disease known as withering syndrome (WS) that wiped out >90% of individuals, leading to the closure of all U.S. black abalone fisheries since 1993. Current conservation strategies include restoring diminished populations by translocating healthy individuals. However, population collapse on this scale may have dramatically lowered genetic diversity and strengthened geographic differentiation, making translocation-based recovery contentious. Additionally, the current prevalence of WS remains unknown. To address these uncertainties, we sequenced and analysed the genomes of 133 black abalone individuals from across their present range. We observed no spatial genetic structure among black abalone, with the exception of a single chromosomal inversion that increases in frequency with latitude. Outside the inversion, genetic differentiation between sites is minimal and does not scale with either geographic distance or environmental dissimilarity. Genetic diversity appears uniformly high across the range. Demographic inference does indicate a severe population bottleneck beginning just 15 generations in the past, but this decline is short lived, with present-day size far exceeding the pre-bottleneck status quo. Finally, we find the bacterial agent of WS is equally present across the sampled range, but only in 10% of individuals. The lack of population genetic structure, uniform diversity and prevalence of WS bacteria indicates that translocation could be a valid and low-risk means of population restoration for black abalone species' recovery.
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Affiliation(s)
- Brock Wooldridge
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, California, USA
| | - Chloé Orland
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
| | - Erik Enbody
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Merly Escalona
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Cade Mirchandani
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA
| | - Joshua D Kapp
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
| | - Nathaniel Fletcher
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
| | - Karah Cox-Ammann
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
| | - Peter Raimondi
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
| | - Beth Shapiro
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, California, USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, California, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA
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Hoelzel AR, Gkafas GA, Kang H, Sarigol F, Le Boeuf B, Costa DP, Beltran RS, Reiter J, Robinson PW, McInerney N, Seim I, Sun S, Fan G, Li S. Genomics of post-bottleneck recovery in the northern elephant seal. Nat Ecol Evol 2024; 8:686-694. [PMID: 38383849 PMCID: PMC11009102 DOI: 10.1038/s41559-024-02337-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024]
Abstract
Populations and species are threatened by human pressure, but their fate is variable. Some depleted populations, such as that of the northern elephant seal (Mirounga angustirostris), recover rapidly even when the surviving population was small. The northern elephant seal was hunted extensively and taken by collectors between the early 1800s and 1892, suffering an extreme population bottleneck as a consequence. Recovery was rapid and now there are over 200,000 individuals. We sequenced 260 modern and 8 historical northern elephant seal nuclear genomes to assess the impact of the population bottleneck on individual northern elephant seals and to better understand their recovery. Here we show that inbreeding, an increase in the frequency of alleles compromised by lost function, and allele frequency distortion, reduced the fitness of breeding males and females, as well as the performance of adult females on foraging migrations. We provide a detailed investigation of the impact of a severe bottleneck on fitness at the genomic level and report on the role of specific gene systems.
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Affiliation(s)
| | - Georgios A Gkafas
- Department of Ichthyology and Aquatic Environment, University of Thessaly, Volos, Greece
| | - Hui Kang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- Innovation Research Center for Aquatic Mammals, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | | | - Burney Le Boeuf
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Daniel P Costa
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Roxanne S Beltran
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Joanne Reiter
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Patrick W Robinson
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Nancy McInerney
- Center for Conservation Genomics, National Zoo and Conservation Biology Institute, Smithsonian Institution, Washington, DC, USA
| | - Inge Seim
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing, China
| | | | | | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.
- Innovation Research Center for Aquatic Mammals, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
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30
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Lyulina AS, Liu Z, Good BH. Linkage equilibrium between rare mutations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.28.587282. [PMID: 38617331 PMCID: PMC11014483 DOI: 10.1101/2024.03.28.587282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Recombination breaks down genetic linkage by reshuffling existing variants onto new genetic backgrounds. These dynamics are traditionally quantified by examining the correlations between alleles, and how they decay as a function of the recombination rate. However, the magnitudes of these correlations are strongly influenced by other evolutionary forces like natural selection and genetic drift, making it difficult to tease out the effects of recombination. Here we introduce a theoretical framework for analyzing an alternative family of statistics that measure the homoplasy produced by recombination. We derive analytical expressions that predict how these statistics depend on the rates of recombination and recurrent mutation, the strength of negative selection and genetic drift, and the present-day frequencies of the mutant alleles. We find that the degree of homoplasy can strongly depend on this frequency scale, which reflects the underlying timescales over which these mutations occurred. We show how these scaling properties can be used to isolate the effects of recombination, and discuss their implications for the rates of horizontal gene transfer in bacteria.
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Affiliation(s)
- Anastasia S Lyulina
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Zhiru Liu
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Benjamin H Good
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub - San Francisco, San Francisco, CA 94158, USA
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31
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Sudrajad P, Hartati H, Soewandi BDP, Anwar S, Hapsari AAR, Widi TSM, Bintara S, Maharani D. Population diversity, admixture, and demographic trend of the Sumba Ongole cattle based on genomic data. Anim Biosci 2024; 37:591-599. [PMID: 37946418 PMCID: PMC10915215 DOI: 10.5713/ab.23.0289] [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: 08/07/2023] [Revised: 09/18/2023] [Accepted: 10/20/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE Sumba Ongole (SO) cattle are valuable breed due to their important role in the development of Indonesian cattle. Despite rapid advances in molecular technology, no genomic studies on SO cattle have been conducted to date. The aim of this study is to provide genomic profile related to the population diversity, admixture, and demographic trends of SO cattle. METHODS Genomic information was gathered from 79 SO cattle using the Illumina Bovine SNP50 v3 Beadchip, and for comparative purposes, additional genotypes from 209 cattle populations worldwide were included. The expected and observed heterozygosity, inbreeding coefficient, pairwise fixation indices between-population, and Nei's genetic distance were examined. Multidimensional scaling, admixture, and treemix analyses were used to investigate the population structure. Based on linkage disequilibrium and effective population size calculations, the demographic trend was observed. RESULTS The findings indicated that the genetic diversity of SO cattle was similar to that of other indicine breeds. SO cattle were genetically related to indicines but not to taurines or Bali cattle. The study further confirmed the close relationship between SO, Ongole, and Nellore cattle. Additionally, a small portion of the Ongole mixture were identified dominant in the SO population at the moment. The study also discovered that SO and Bali cattle (Bos javanicus) could have been ancestors in the development of Ongole Grade cattle, which corresponds to the documented history of Ongolization. Our finding indicate that SO cattle have maintained stability and possess unique traits separate from their ancestors. CONCLUSION In conclusion, the genetic diversity of the SO cattle has been conserved as a result of the growing significance of the present demographic trend. Consistent endeavors are necessary to uphold the fitness of the breed.
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Affiliation(s)
- Pita Sudrajad
- Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, 55281,
Indonesia
- Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research and Innovation Agency (BRIN), Bogor, 16911,
Indonesia
| | - Hartati Hartati
- Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research and Innovation Agency (BRIN), Bogor, 16911,
Indonesia
| | - Bayu Dewantoro Putro Soewandi
- Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research and Innovation Agency (BRIN), Bogor, 16911,
Indonesia
| | - Saiful Anwar
- Research Center for Applied Zoology, Research Organization for Life Sciences and Environment, National Research and Innovation Agency (BRIN), Bogor, 16911,
Indonesia
| | - Angga Ardhati Rani Hapsari
- Indonesian Research Institute for Animal Production, Indonesian Agency for Agricultural Research and Development, Ministry of Agriculture, Bogor, 16002,
Indonesia
| | | | - Sigit Bintara
- Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, 55281,
Indonesia
| | - Dyah Maharani
- Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, 55281,
Indonesia
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Guo B, Borda V, Laboulaye R, Spring MD, Wojnarski M, Vesely BA, Silva JC, Waters NC, O'Connor TD, Takala-Harrison S. Strong positive selection biases identity-by-descent-based inferences of recent demography and population structure in Plasmodium falciparum. Nat Commun 2024; 15:2499. [PMID: 38509066 PMCID: PMC10954658 DOI: 10.1038/s41467-024-46659-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 02/28/2024] [Indexed: 03/22/2024] Open
Abstract
Malaria genomic surveillance often estimates parasite genetic relatedness using metrics such as Identity-By-Decent (IBD), yet strong positive selection stemming from antimalarial drug resistance or other interventions may bias IBD-based estimates. In this study, we use simulations, a true IBD inference algorithm, and empirical data sets from different malaria transmission settings to investigate the extent of this bias and explore potential correction strategies. We analyze whole genome sequence data generated from 640 new and 3089 publicly available Plasmodium falciparum clinical isolates. We demonstrate that positive selection distorts IBD distributions, leading to underestimated effective population size and blurred population structure. Additionally, we discover that the removal of IBD peak regions partially restores the accuracy of IBD-based inferences, with this effect contingent on the population's background genetic relatedness and extent of inbreeding. Consequently, we advocate for selection correction for parasite populations undergoing strong, recent positive selection, particularly in high malaria transmission settings.
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Affiliation(s)
- Bing Guo
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Victor Borda
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Roland Laboulaye
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michele D Spring
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Mariusz Wojnarski
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Brian A Vesely
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Joana C Silva
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (NOVA), Lisbon, Portugal
| | - Norman C Waters
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Timothy D O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
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Bourgeois Y, Warren BH, Augiron S. The burden of anthropogenic changes and mutation load in a critically endangered harrier from the Reunion biodiversity hotspot, Circus maillardi. Mol Ecol 2024; 33:e17300. [PMID: 38372440 DOI: 10.1111/mec.17300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 01/18/2024] [Accepted: 01/30/2024] [Indexed: 02/20/2024]
Abstract
Anthropogenic impact is causing the decline of a large proportion of species worldwide and reduces their genetic diversity. Island species typically have smaller ranges than continental species. As a consequence, island species are particularly liable to undergo population bottlenecks, giving rise to conservation challenges such as inbreeding and unmasking of deleterious genetic load. Such challenges call for more detailed assessments of the genetic make-up of threatened island populations. The Mascarene islands (Indian Ocean) present many prime examples, being unusual in having been pristine until first human arrival ~400 years ago, following which anthropogenic pressure was unusually intense. A threatened harrier (Circus maillardi) endemic to the westernmost island of the archipelago is a good example of the challenges faced by species that have declined to small population size following intense anthropogenic pressure. In this study, we use an extensive set of population genomic tools to quantify variation at near-neutral and coding loci, in order to test the historical impact of human activity on this species, and evaluate the species' (mal)adaptive potential. We observed low but significant genetic differentiation between populations on the West and North-East sides of the island, echoing observations in other endemic species. Inbreeding was significant, with a substantial fraction of samples being first or second-degree relatives. Historical effective population sizes have declined from ~3000 to 300 individuals in the past 1000 years, with a more recent drop ~100 years ago consistent with human activity. Based on our simulations and comparisons with a close relative (Circus melanoleucos), this demographic history may have allowed purging of the most deleterious variants but is unlikely to have allowed the purging of mildly deleterious variants. Our study shows how using relatively affordable methods can reveal the massive impact that human activity may have on the genetic diversity and adaptive potential of island populations, and calls for urgent action to closely monitor the reproductive success of such endemic populations, in association with genetic studies.
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Affiliation(s)
- Yann Bourgeois
- DIADE, University of Montpellier, CIRAD, IRD, Montpellier, France
- School of Biological Sciences, University of Portsmouth, Portsmouth, UK
| | - Ben H Warren
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, UA, Paris, France
| | - Steve Augiron
- Société d'Études Ornithologiques de La Réunion, Saint-André, France
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34
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Kessler C, Shafer ABA. Genomic Analyses Capture the Human-Induced Demographic Collapse and Recovery in a Wide-Ranging Cervid. Mol Biol Evol 2024; 41:msae038. [PMID: 38378172 PMCID: PMC10917209 DOI: 10.1093/molbev/msae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
The glacial cycles of the Quaternary heavily impacted species through successions of population contractions and expansions. Similarly, populations have been intensely shaped by human pressures such as unregulated hunting and land use changes. White-tailed and mule deer survived in different refugia through the Last Glacial Maximum, and their populations were severely reduced after the European colonization. Here, we analyzed 73 resequenced deer genomes from across their North American range to understand the consequences of climatic and anthropogenic pressures on deer demographic and adaptive history. We found strong signals of climate-induced vicariance and demographic decline; notably, multiple sequentially Markovian coalescent recovers a severe decline in mainland white-tailed deer effective population size (Ne) at the end of the Last Glacial Maximum. We found robust evidence for colonial overharvest in the form of a recent and dramatic drop in Ne in all analyzed populations. Historical census size and restocking data show a clear parallel to historical Ne estimates, and temporal Ne/Nc ratio shows patterns of conservation concern for mule deer. Signatures of selection highlight genes related to temperature, including a cold receptor previously highlighted in woolly mammoth. We also detected immune genes that we surmise reflect the changing land use patterns in North America. Our study provides a detailed picture of anthropogenic and climatic-induced decline in deer diversity and clues to understanding the conservation concerns of mule deer and the successful demographic recovery of white-tailed deer.
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Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada
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Zhou Y, Song R, Nevo E, Fu X, Wang X, Wang Y, Wang C, Chen J, Sun G, Sun D, Ren X. Genomic evidence for climate-linked diversity loss and increased vulnerability of wild barley spanning 28 years of climate warming. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 913:169679. [PMID: 38163608 DOI: 10.1016/j.scitotenv.2023.169679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/19/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Abstract
The information on how plant populations respond genetically to climate warming is scarce. Here, landscape genomic and machine learning approaches were integrated to assess genetic response of 10 wild barley (Hordeum vulgare ssp. spontaneum; WB) populations in the past and future, using whole genomic sequencing (WGS) data. The WB populations were sampled in 1980 and again in 2008. Phylogeny of accessions was roughly in conformity with sampling sites, which accompanied by admixture/introgressions. The 28-y climate warming resulted in decreased genetic diversity, increased selection pressure, and an increase in deleterious single nucleotide polymorphism (dSNP) numbers, heterozygous deleterious and total deleterious burdens for WB. Genome-environment associations identified some candidate genes belonging to peroxidase family (HORVU2Hr1G057450, HORVU4Hr1G052060 and HORVU4Hr1G057210) and heat shock protein 70 family (HORVU2Hr1G112630). The gene HORVU2Hr1G120170 identified by selective sweep analysis was under strong selection during the climate warming of the 28-y, and its derived haplotypes were fixed by WB when faced with the 28-y increasingly severe environment. Temperature variables were found to be more important than precipitation variables in influencing genomic variation, with an eco-physiological index gdd5 (growing degree-days at the baseline threshold temperature of 5 °C) being the most important determinant. Gradient forest modelling revealed higher predicted genomic vulnerability in Sede Boqer under future climate scenarios at 2041-2070 and 2071-2100. Additionally, estimates of effective population size (Ne) tracing back to 250 years indicated a forward decline in all populations over time. Our assessment about past genetic response and future vulnerability of WB under climate warming is crucial for informing conservation efforts for wild cereals and rational use strategies.
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Affiliation(s)
- Yu Zhou
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Ruilian Song
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Eviator Nevo
- Institute of Evolution, University of Haifa, Mount Carmel, 31905 Haifa, Israel
| | - Xiaoqin Fu
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaofang Wang
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yixiang Wang
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Chengyang Wang
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Junpeng Chen
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Genlou Sun
- Saint Mary's University, Halifax, NS B3H 3C3, Canada
| | - Dongfa Sun
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xifeng Ren
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
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Feng X, Merilä J, Löytynoja A. Secondary Contact, Introgressive Hybridization, and Genome Stabilization in Sticklebacks. Mol Biol Evol 2024; 41:msae031. [PMID: 38366566 PMCID: PMC10903534 DOI: 10.1093/molbev/msae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/20/2023] [Accepted: 02/09/2024] [Indexed: 02/18/2024] Open
Abstract
Advances in genomic studies have revealed that hybridization in nature is pervasive and raised questions about the dynamics of different genetic and evolutionary factors following the initial hybridization event. While recent research has proposed that the genomic outcomes of hybridization might be predictable to some extent, many uncertainties remain. With comprehensive whole-genome sequence data, we investigated the genetic introgression between 2 divergent lineages of 9-spined sticklebacks (Pungitius pungitius) in the Baltic Sea. We found that the intensity and direction of selection on the introgressed variation has varied across different genomic elements: while functionally important regions displayed reduced rates of introgression, promoter regions showed enrichment. Despite the general trend of negative selection, we identified specific genomic regions that were enriched for introgressed variants, and within these regions, we detected footprints of selection, indicating adaptive introgression. Geographically, we found the selection against the functional changes to be strongest in the vicinity of the secondary contact zone and weaken as a function of distance from the initial contact. Altogether, the results suggest that the stabilization of introgressed variation in the genomes is a complex, multistage process involving both negative and positive selection. In spite of the predominance of negative selection against introgressed variants, we also found evidence for adaptive introgression variants likely associated with adaptation to Baltic Sea environmental conditions.
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Affiliation(s)
- Xueyun Feng
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki 00014, Finland
- Institute of Biotechnology, University of Helsinki, Helsinki 00014, Finland
| | - Juha Merilä
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki 00014, Finland
- Area of Ecology and Biodiversity, The School of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Ari Löytynoja
- Institute of Biotechnology, University of Helsinki, Helsinki 00014, Finland
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37
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Longo A, Kurta K, Vanhala T, Jeuthe H, de Koning DJ, Palaiokostas C. Genetic diversity patterns in farmed rainbow trout (Oncorhynchus mykiss) populations using genome-wide SNP and haplotype data. Anim Genet 2024; 55:87-98. [PMID: 37994156 DOI: 10.1111/age.13378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 10/25/2023] [Accepted: 11/01/2023] [Indexed: 11/24/2023]
Abstract
Rainbow trout is one of the most popular aquaculture species worldwide, with a long history of domestication. However, limited information exists about the genetic diversity of farmed rainbow trout populations globally, with most available reports relying on low-throughput genotyping technologies. Notably, no information exists about the genetic diversity status of farmed rainbow trout in Sweden. Double-digest restriction-site-associated DNA sequencing was performed on more than 500 broodfish from two leading producers in Sweden and from the country's national breeding program. Following the detection of single nucleotide polymorphisms (SNPs), genetic diversity was studied by using either individual SNPs (n = 8680; one SNP retained per 300 bp sequence reads) or through SNP haplotypes (n = 20 558; all SNPs retained in 300 bp sequence reads). Similar amounts of genetic diversity were found amongst the three populations when individual SNPs were used. Furthermore, principal component analysis and discriminant analysis of principal components suggested two genetic clusters with the two industry populations grouped together. Genetic differentiation based on the FST fixation index was ~0.01 between the industry populations and ~0.05 when those were compared with the breeding program. Preliminary estimates of effective population size (Ne ) and inbreeding (based on runs of homozygosity; FROH ) were similar amongst the three populations (Ne ≈ 50-80; median FROH ≈ 0.11). Finally, the haplotype-based analysis suggested that animals from the breeding program had higher shared coancestry levels than those from the other two populations. Overall, our study provides novel insights into the genetic diversity and structure of Sweden's three main farmed rainbow trout populations, which could guide their future management.
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Affiliation(s)
- Alessio Longo
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Khrystyna Kurta
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Tytti Vanhala
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Henrik Jeuthe
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Aquaculture Center North, Kälarne, Sweden
| | - Dirk-Jan de Koning
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Christos Palaiokostas
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Qin SY, Zuo ZY, Xu SX, Liu J, Yang FM, Luo YH, Ye JW, Zhao Y, Rong J, Liu B, Ma PF, Li DZ. Anthropogenic disturbance driving population decline of a dominant tree in East Asia evergreen broadleaved forests over the last 11,000 years. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14180. [PMID: 37700668 DOI: 10.1111/cobi.14180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/09/2023] [Accepted: 06/12/2023] [Indexed: 09/14/2023]
Abstract
Current biodiversity loss is generally considered to have been caused by anthropogenic disturbance, but it is unclear when anthropogenic activities began to affect biodiversity loss. One hypothesis suggests it began with the Industrial Revolution, whereas others propose that anthropogenic disturbance has been associated with biodiversity decline since the early Holocene. To test these hypotheses, we examined the unique vegetation of evergreen broadleaved forests (EBLFs) in East Asia, where humans have affected landscapes since the early Holocene. We adopted a genomic approach to infer the demographic history of a dominant tree (Litsea elongata) of EBLFs. We used Holocene temperature and anthropogenic disturbance factors to calculate the correlation between these variables and the historical effective population size of L. elongata with Spearman statistics and integrated the maximum-entropy niche model to determine the impact of climate change and anthropogenic disturbance on fluctuation in its effective population size. We identified 9 well-defined geographic clades for the populations of L. elongata. Based on the estimated historical population sizes of these clades, all the populations contracted, indicating persistent population decline over the last 11,000 years. Demographic history of L. elongata and human population change, change in cropland use, and change in irrigated rice area were significantly negatively correlated, whereas climate change in the Holocene was not correlated with demographic history. Our results support the early human impact hypothesis and provide comprehensive evidence that early anthropogenic disturbance may contribute to the current biodiversity crisis in East Asia.
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Affiliation(s)
- Sheng-Yuan Qin
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Zheng-Yu Zuo
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Shuang-Xiu Xu
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Jie Liu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Feng-Mao Yang
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Ya-Huang Luo
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Jun-Wei Ye
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
| | - Yao Zhao
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Center for Watershed Ecology, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, China
| | - Jun Rong
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Center for Watershed Ecology, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, China
| | - Bing Liu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- Sino-African Joint Research Center, Chinese Academy of Sciences, Wuhan, China
| | - Peng-Fei Ma
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - De-Zhu Li
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
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Popovic I, Bergeron LA, Bozec YM, Waldvogel AM, Howitt SM, Damjanovic K, Patel F, Cabrera MG, Wörheide G, Uthicke S, Riginos C. High germline mutation rates, but not extreme population outbreaks, influence genetic diversity in a keystone coral predator. PLoS Genet 2024; 20:e1011129. [PMID: 38346089 PMCID: PMC10861045 DOI: 10.1371/journal.pgen.1011129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024] Open
Abstract
Lewontin's paradox, the observation that levels of genetic diversity (π) do not scale linearly with census population size (Nc) variation, is an evolutionary conundrum. The most extreme mismatches between π and Nc are found for highly abundant marine invertebrates. Yet, the influences of new mutations on π relative to extrinsic processes such as Nc fluctuations are unknown. Here, we provide the first germline mutation rate (μ) estimate for a marine invertebrate in corallivorous crown-of-thorns sea stars (Acanthaster cf. solaris). We use high-coverage whole-genome sequencing of 14 parent-offspring trios alongside empirical estimates of Nc in Australia's Great Barrier Reef to jointly examine the determinants of π in populations undergoing extreme Nc fluctuations. The A. cf. solaris mean μ was 9.13 x 10-09 mutations per-site per-generation (95% CI: 6.51 x 10-09 to 1.18 x 10-08), exceeding estimates for other invertebrates and showing greater concordance with vertebrate mutation rates. Lower-than-expected Ne (~70,000-180,000) and low Ne/Nc values (0.0047-0.048) indicated weak influences of population outbreaks on long-term π. Our findings are consistent with elevated μ evolving in response to reduced Ne and generation time length, with important implications for explaining high mutational loads and the determinants of genetic diversity in marine invertebrate taxa.
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Affiliation(s)
- Iva Popovic
- School of the Environment, The University of Queensland, St Lucia, Queensland, Australia
| | - Lucie A. Bergeron
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Yves-Marie Bozec
- School of the Environment, The University of Queensland, St Lucia, Queensland, Australia
| | | | - Samantha M. Howitt
- School of the Environment, The University of Queensland, St Lucia, Queensland, Australia
| | | | - Frances Patel
- Australian Institute of Marine Science, Townsville, Australia
| | | | - Gert Wörheide
- Department of Earth and Environmental Sciences, Paleontology and Geobiology, Ludwig-Maximilians-Universität München, Munich, Germany
- GeoBio-Center, Ludwig-Maximilians-Universität München, Munich, Germany
- Staatliche Naturwissenschaftliche Sammlungen Bayerns (SNSB)–Bayerische Staatssammlung für Paläontologie und Geologie, Munich, Germany
| | - Sven Uthicke
- Australian Institute of Marine Science, Townsville, Australia
| | - Cynthia Riginos
- School of the Environment, The University of Queensland, St Lucia, Queensland, Australia
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40
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Taylor RS, Manseau M, Wilson PJ. Delineating conservation units should be independent of effective population size. Trends Ecol Evol 2024; 39:121-122. [PMID: 38065708 DOI: 10.1016/j.tree.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 02/09/2024]
Affiliation(s)
- Rebecca S Taylor
- Landscape Science and Technology, Environment and Climate Change Canada, Ottawa, Canada.
| | - Micheline Manseau
- Landscape Science and Technology, Environment and Climate Change Canada, Ottawa, Canada
| | - Paul J Wilson
- Biology Department, Trent University, Peterborough, Ontario, Canada
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41
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vonHoldt BM, Stahler DR, Brzeski KE, Musiani M, Peterson R, Phillips M, Stephenson J, Laudon K, Meredith E, Vucetich JA, Leonard JA, Wayne RK. Demographic history shapes North American gray wolf genomic diversity and informs species' conservation. Mol Ecol 2024; 33:e17231. [PMID: 38054561 DOI: 10.1111/mec.17231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 11/19/2023] [Accepted: 11/21/2023] [Indexed: 12/07/2023]
Abstract
Effective population size estimates are critical information needed for evolutionary predictions and conservation decisions. This is particularly true for species with social factors that restrict access to breeding or experience repeated fluctuations in population size across generations. We investigated the genomic estimates of effective population size along with diversity, subdivision, and inbreeding from 162,109 minimally filtered and 81,595 statistically neutral and unlinked SNPs genotyped in 437 grey wolf samples from North America collected between 1986 and 2021. We found genetic structure across North America, represented by three distinct demographic histories of western, central, and eastern regions of the continent. Further, grey wolves in the northern Rocky Mountains have lower genomic diversity than wolves of the western Great Lakes and have declined over time. Effective population size estimates revealed the historical signatures of continental efforts of predator extermination, despite a quarter century of recovery efforts. We are the first to provide molecular estimates of effective population size across distinct grey wolf populations in North America, which ranged between Ne ~ 275 and 3050 since early 1980s. We provide data that inform managers regarding the status and importance of effective population size estimates for grey wolf conservation, which are on average 5.2-9.3% of census estimates for this species. We show that while grey wolves fall above minimum effective population sizes needed to avoid extinction due to inbreeding depression in the short term, they are below sizes predicted to be necessary to avoid long-term risk of extinction.
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Affiliation(s)
- Bridgett M vonHoldt
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
| | - Daniel R Stahler
- Yellowstone Center for Resources, Yellowstone National Park, Wyoming, USA
| | - Kristin E Brzeski
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, USA
| | - Marco Musiani
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, Bologna, Italy
| | - Rolf Peterson
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, USA
| | | | | | - Kent Laudon
- California Department of Fish and Wildlife, Northern Region, Redding, California, USA
| | - Erin Meredith
- California Department of Fish and Wildlife, Wildlife Forensic Laboratory, Sacramento, California, USA
| | - John A Vucetich
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, USA
| | - Jennifer A Leonard
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, USA
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Naji MM, Gualdrón Duarte JL, Forneris NS, Druet T. Inbreeding depression is associated with recent homozygous-by-descent segments in Belgian Blue beef cattle. Genet Sel Evol 2024; 56:10. [PMID: 38297209 PMCID: PMC10832232 DOI: 10.1186/s12711-024-00878-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 01/19/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Cattle populations harbor generally high inbreeding levels that can lead to inbreeding depression (ID). Here, we study ID with different estimators of the inbreeding coefficient F, evaluate their sensitivity to used allele frequencies (founder versus sample allele frequencies), and compare effects from recent and ancient inbreeding. METHODS We used data from 14,205 Belgian Blue beef cattle genotyped cows that were phenotyped for 11 linear classification traits. We computed estimators of F based on the pedigree information (FPED), on the correlation between uniting gametes (FUNI), on the genomic relationship matrix (FGRM), on excess homozygosity (FHET), or on homozygous-by-descent (HBD) segments (FHBD). RESULTS FUNI and FGRM were sensitive to used allele frequencies, whereas FHET and FHBD were more robust. We detected significant ID for four traits related to height and length; FHBD and FUNI presenting the strongest associations. Then, we took advantage of the classification of HBD segments in different age-related classes (the length of an HBD segment being inversely related to the number of generations to the common ancestors) to determine that recent HBD classes (common ancestors present approximately up to 15 generations in the past) presented stronger ID than more ancient HBD classes. We performed additional analyses to check whether these observations could result from a lower level of variation in ancient HBD classes, or from a reduced precision to identify these shorter segments. CONCLUSIONS Overall, our results suggest that mutational load decreases with haplotype age, and that mating plans should consider mainly the levels of recent inbreeding.
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Affiliation(s)
- Maulana Mughitz Naji
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Quartier Hôpital, Avenue de l'Hôpital, 11, 4000, Liege, Belgium.
| | - José Luis Gualdrón Duarte
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Quartier Hôpital, Avenue de l'Hôpital, 11, 4000, Liege, Belgium
- Walloon Breeders Association (awe groupe), 5590, Ciney, Belgium
| | - Natalia Soledad Forneris
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Quartier Hôpital, Avenue de l'Hôpital, 11, 4000, Liege, Belgium
| | - Tom Druet
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Quartier Hôpital, Avenue de l'Hôpital, 11, 4000, Liege, Belgium
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43
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Sang H, Li Y, Tan S, Gao P, Wang B, Guo S, Luo S, Sun C. Conservation genomics analysis reveals recent population decline and possible causes in bumblebee Bombus opulentus. INSECT SCIENCE 2024. [PMID: 38297451 DOI: 10.1111/1744-7917.13324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 11/29/2023] [Accepted: 12/07/2023] [Indexed: 02/02/2024]
Abstract
Bumblebees are a genus of pollinators (Bombus) that play important roles in natural ecosystem and agricultural production. Several bumblebee species have been recorded as under population decline, and the proportion of species experiencing population decline within subgenus Thoracobombus is higher than average. Bombus opulentus is 1 species in Thoracobombus, but little is known about its recent population dynamics. Here, we employed conservation genomics methods to investigate the population dynamics of B. opulentus during the recent past and identify the likely environmental factors that may cause population decline. Firstly, we placed the scaffold-level of B. opulentus reference genome sequence onto chromosome-level using Hi-C technique. Then, based on this reference genome and whole-genome resequencing data for 51 B. opulentus samples, we reconstructed the population structure and effective population size (Ne ) trajectories of B. opulentus and identified genes that were under positive selection. Our results revealed that the collected B. opulentus samples could be divided into 2 populations, and 1 of them experienced a recent population decline; the declining population also exhibited lower genetic diversity and higher inbreeding levels. Genes related to high-temperature tolerance, immune response, and detoxication showed signals of positive selection in the declining population, suggesting that climate warming and pathogen/pesticide exposures may contribute to the decline of this B. opulentus population. Taken together, our study provided insights into the demography of B. opulentus populations and highlighted that populations of the same bumblebee species could have contrasting Ne trajectories and population decline could be caused by a combination of various stressors.
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Affiliation(s)
- Huiling Sang
- College of Life Sciences, Capital Normal University, Beijing, China
- State Key Laboratory of Resource Insects, Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yancan Li
- State Key Laboratory of Resource Insects, Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
- Western Research Institute, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
| | - Shuxin Tan
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Pu Gao
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Bei Wang
- Yan'an Beekeeping Experimental Station, Yan'an, Shannxi, China
| | - Shengnan Guo
- Hengshui center for Disease Prevention and Control, Hengshui, Hebei, China
| | - Shudong Luo
- State Key Laboratory of Resource Insects, Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
- Western Research Institute, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
| | - Cheng Sun
- College of Life Sciences, Capital Normal University, Beijing, China
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Wooldridge B, Orland C, Enbody E, Escalona M, Mirchandani C, Corbett-Detig R, Kapp JD, Fletcher N, Ammann K, Raimondi P, Shapiro B. Limited genomic signatures of population collapse in the critically endangered black abalone ( Haliotis cracherodii). BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.26.577275. [PMID: 38352393 PMCID: PMC10862700 DOI: 10.1101/2024.01.26.577275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/19/2024]
Abstract
The black abalone, Haliotis cracherodii, is a large, long-lived marine mollusc that inhabits rocky intertidal habitats along the coast of California and Mexico. In 1985, populations were impacted by a bacterial disease known as withering syndrome (WS) that wiped out >90% of individuals, leading to the species' designation as critically endangered. Current conservation strategies include restoring diminished populations by translocating healthy individuals. However, population collapse on this scale may have dramatically lowered genetic diversity and strengthened geographic differentiation, making translocation-based recovery contentious. Additionally, the current prevalence of WS is unknown. To address these uncertainties, we sequenced and analyzed the genomes of 133 black abalone individuals from across their present range. We observed no spatial genetic structure among black abalone, with the exception of a single chromosomal inversion that increases in frequency with latitude. Genetic divergence between sites is minimal, and does not scale with either geographic distance or environmental dissimilarity. Genetic diversity appears uniformly high across the range. Despite this, however, demographic inference confirms a severe population bottleneck beginning around the time of WS onset, highlighting the temporal offset that may occur between a population collapse and its potential impact on genetic diversity. Finally, we find the bacterial agent of WS is equally present across the sampled range, but only in 10% of individuals. The lack of genetic structure, uniform diversity, and prevalence of WS bacteria indicates that translocation could be a valid and low-risk means of population restoration for black abalone species' recovery.
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Affiliation(s)
- Brock Wooldridge
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Chloé Orland
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Erik Enbody
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Merly Escalona
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Cade Mirchandani
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Joshua D Kapp
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Nathaniel Fletcher
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Karah Ammann
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Peter Raimondi
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
| | - Beth Shapiro
- Ecology and Evolutionary Biology Department, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064 USA
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van Oosterhout C. AI-informed conservation genomics. Heredity (Edinb) 2024; 132:1-4. [PMID: 38151537 PMCID: PMC10798949 DOI: 10.1038/s41437-023-00666-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 12/29/2023] Open
Affiliation(s)
- Cock van Oosterhout
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
- Conservation Genetics Specialist Group, International Union for Conservation of Nature (IUCN), Gland, Switzerland.
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Waples RS. Practical application of the linkage disequilibrium method for estimating contemporary effective population size: A review. Mol Ecol Resour 2024; 24:e13879. [PMID: 37873672 DOI: 10.1111/1755-0998.13879] [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: 06/22/2023] [Revised: 09/26/2023] [Accepted: 09/29/2023] [Indexed: 10/25/2023]
Abstract
The method to estimate contemporary effective population size (Ne ) based on patterns of linkage disequilibrium (LD) at unlinked loci has been widely applied to natural and managed populations. The underlying model makes many simplifying assumptions, most of which have been evaluated in numerous studies published over the last two decades. Here, these performance evaluations are reviewed and summarized, with a focus on information that facilitates practical application to real populations in nature. Potential sources of bias that are discussed include calculation of r2 (a measure of LD), adjustments for sampling error, physical linkage, age structure, migration and spatial structure, mutation and selection, mating systems, changes in abundance, rare alleles, missing data, genotyping errors, data filtering choices and methods for combining multiple Ne estimates. Factors that affect precision are reviewed, including pseudoreplication that limits the information gained from large genomics datasets, constraints imposed by small samples of individuals, and the challenges in obtaining robust estimates for large populations. Topics that merit further research include the potential to weight r2 values by allele frequency, lump samples of individuals, use genotypic likelihoods rather than called genotypes, prune large LD values and apply the method to species practising partial monogamy.
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Affiliation(s)
- Robin S Waples
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA
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47
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Santiago E, Caballero A, Köpke C, Novo I. Estimation of the contemporary effective population size from SNP data while accounting for mating structure. Mol Ecol Resour 2024; 24:e13890. [PMID: 37937674 DOI: 10.1111/1755-0998.13890] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/09/2023]
Abstract
A new method is developed to estimate the contemporary effective population size (Ne ) from linkage disequilibrium (LD) between SNPs without information on their location, which is the usual scenario in non-model species. The general theory of linkage disequilibrium is extended to include the contribution of full-sibs to the measure of LD, leading naturally to the estimation of Ne in monogamous and polygamous mating systems, as well as in multiparous species, and with non-random distributions of full-sib family size due to selection or other causes. Prediction of confidence intervals for Ne estimates was solved using a small artificial neural network trained on a dataset of over 105 simulation results. The method, implemented in a user-friendly and fast software (currentNe), is able to estimate Ne even in problematic scenarios with large population sizes or small sample sizes and provides confidence intervals that are more consistent than resampling methods.
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Affiliation(s)
- Enrique Santiago
- Departamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, Oviedo, Spain
| | - Armando Caballero
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, Vigo, Spain
| | | | - Irene Novo
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, Vigo, Spain
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Li S, Yeh C, Jang‐Liaw N, Chang S, Lin Y, Tsai C, Chiu C, Chen C, Ke H, Wang Q, Lu Y, Zheng K, Fan P, Zhang L, Liu Y. Low but highly geographically structured genomic diversity of East Asian Eurasian otters and its conservation implications. Evol Appl 2024; 17:e13630. [PMID: 38288030 PMCID: PMC10824276 DOI: 10.1111/eva.13630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 11/06/2023] [Accepted: 11/28/2023] [Indexed: 01/31/2024] Open
Abstract
Populations of Eurasian otters Lutra lutra, one of the most widely distributed apex predators in Eurasia, have been depleted mainly since the 1950s. However, a lack of information about their genomic diversity and how they are organized geographically in East Asia severely impedes our ability to monitor and conserve them in particular management units. Here, we re-sequenced and analyzed 20 otter genomes spanning continental East Asia, including a population at Kinmen, a small island off the Fujian coast, China. The otters form three genetic clusters (one of L. l. lutra in the north and two of L. l. chinensis in the south), which have diverged in the Holocene. These three clusters should be recognized as three conservation management units to monitor and manage independently. The heterozygosity of the East Asian otters is as low as that of the threatened carnivores sequenced. Historical effective population size trajectories inferred from genomic variations suggest that their low genomic diversity could be partially attributed to changes in the climate since the mid-Pleistocene and anthropogenic intervention since the Holocene. However, no evidence of genetic erosion, mutation load, or high level of inbreeding was detected in the presumably isolated Kinmen Island population. Any future in situ conservation efforts should consider this information for the conservation management units.
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Affiliation(s)
- Shou‐Hsien Li
- School of Life ScienceNational Taiwan Normal UniversityTaipeiTaiwan
| | - Chia‐fen Yeh
- School of Life ScienceNational Taiwan Normal UniversityTaipeiTaiwan
| | | | - Shih‐Wei Chang
- Division of ZoologyEndemic Species Research InstituteNantouTaiwan
| | - Yu‐Hsiu Lin
- Division of ZoologyEndemic Species Research InstituteNantouTaiwan
| | - Cheng‐En Tsai
- School of Life ScienceNational Taiwan Normal UniversityTaipeiTaiwan
| | - Chi‐Cheng Chiu
- School of Life ScienceNational Taiwan Normal UniversityTaipeiTaiwan
| | | | - Hui‐Ru Ke
- Genomics BioSci & Tech Co., Ltd.New Taipei CityTaiwan
| | - Qiaoyun Wang
- State Key Laboratory of Biocontrol, School of Ecology/School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
| | - Yiwei Lu
- Zhejiang Museum of Natural HistoryZhejiang Biodiversity Research CenterHangzhouChina
| | - Kaidan Zheng
- State Key Laboratory of Biocontrol, School of Ecology/School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
| | - Pengfei Fan
- State Key Laboratory of Biocontrol, School of Ecology/School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
| | - Lu Zhang
- State Key Laboratory of Biocontrol, School of Ecology/School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology/School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
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Novo I, Ordás P, Moraga N, Santiago E, Quesada H, Caballero A. Impact of population structure in the estimation of recent historical effective population size by the software GONE. Genet Sel Evol 2023; 55:86. [PMID: 38049712 PMCID: PMC10694967 DOI: 10.1186/s12711-023-00859-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 11/20/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Effective population size (Ne) is a crucial parameter in conservation genetics and animal breeding. A recent method, implemented by the software GONE, has been shown to be rather accurate in estimating recent historical changes in Ne from a single sample of individuals. However, GONE estimations assume that the population being studied has remained isolated for a period of time, that is, without migration or confluence of other populations. If this occurs, the estimates of Ne can be heavily biased. In this paper, we evaluate the impact of migration and admixture on the estimates of historical Ne provided by GONE through a series of computer simulations considering several scenarios: (a) the mixture of two or more ancestral populations; (b) subpopulations that continuously exchange individuals through migration; (c) populations receiving migrants from a large source; and (d) populations with balanced systems of chromosomal inversions, which also generate genetic structure. RESULTS Our results indicate that the estimates of historical Ne provided by GONE may be substantially biased when there has been a recent mixture of populations that were previously separated for a long period of time. Similarly, biases may occur when the rate of continued migration between populations is low, or when chromosomal inversions are present at high frequencies. However, some biases due to population structuring can be eliminated by conducting population structure analyses and restricting the estimation to the differentiated groups. In addition, disregarding the genomic regions that are involved in inversions can also remove biases in the estimates of Ne. CONCLUSIONS Different kinds of deviations from isolation and panmixia of the populations can generate biases in the recent historical estimates of Ne. Therefore, estimation of past demography could benefit from performing population structure analyses beforehand, by mitigating the impact of these biases on historical Ne estimates.
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Affiliation(s)
- Irene Novo
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.
| | - Pilar Ordás
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
| | - Natalia Moraga
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
| | - Enrique Santiago
- Departamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, 33006, Oviedo, Spain
| | - Humberto Quesada
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
| | - Armando Caballero
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
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McTaggart AR, McLaughlin S, Slot JC, McKernan K, Appleyard C, Bartlett TL, Weinert M, Barlow C, Warne LN, Shuey LS, Drenth A, James TY. Domestication through clandestine cultivation constrained genetic diversity in magic mushrooms relative to naturalized populations. Curr Biol 2023; 33:5147-5159.e7. [PMID: 38052161 DOI: 10.1016/j.cub.2023.10.059] [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: 06/20/2023] [Revised: 09/04/2023] [Accepted: 10/26/2023] [Indexed: 12/07/2023]
Abstract
Fungi that are edible or fermentative were domesticated through selective cultivation of their desired traits. Domestication is often associated with inbreeding or selfing, which may fix traits other than those under selection, and causes an overall decrease in heterozygosity. A hallucinogenic mushroom, Psilocybe cubensis, was domesticated from its niche in livestock dung for production of psilocybin. It has caused accidental poisonings since the 1940s in Australia, which is a population hypothesized to be introduced from an unknown center of origin. We sequenced genomes of 38 isolates from Australia and compared them with 86 genomes of commercially available cultivars to determine (1) whether P. cubensis was introduced to Australia, and (2) how domestication has impacted commercial cultivars. Our analyses of genome-wide SNPs and single-copy orthologs showed that the Australian population is naturalized, having recovered its effective population size after a bottleneck when it was introduced, and it has maintained relatively high genetic diversity based on measures of nucleotide and allelic diversity. In contrast, domesticated cultivars generally have low effective population sizes and hallmarks of selfing and clonal propagation, including low genetic diversity, low heterozygosity, high linkage disequilibrium, and low allelic diversity of mating-compatibility genes. Analyses of kinship show that most cultivars are founded from related populations. Alleles in the psilocybin gene cluster are identical across most cultivars of P. cubensis with low diversity across coding sequence; however, unique allelic diversity in Australia and some cultivars may translate to differences in biosynthesis of psilocybin and its analogs.
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Affiliation(s)
- Alistair R McTaggart
- Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Dutton Park, QLD 4102, Australia; Funky Fungus, Burpengary, QLD 4505, Australia.
| | | | - Jason C Slot
- Department of Plant Pathology, The Ohio State University, Columbus, OH 43210, USA
| | - Kevin McKernan
- Research and Development, Medicinal Genomics, Beverly, MA 01915, USA
| | | | - Tia L Bartlett
- Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Dutton Park, QLD 4102, Australia
| | - Matthew Weinert
- Entheogenesis Australis, PO Box 2046, Belgrave, 3160 VIC, Australia
| | - Caine Barlow
- Entheogenesis Australis, PO Box 2046, Belgrave, 3160 VIC, Australia
| | - Leon N Warne
- Little Green Pharma, West Perth, WA 6005, Australia
| | - Louise S Shuey
- Queensland Department of Agriculture and Fisheries, Ecosciences Precinct, Dutton Park, QLD 4102, Australia
| | - André Drenth
- Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Dutton Park, QLD 4102, Australia
| | - Timothy Y James
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48104, USA
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