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Atağ G, Kaptan D, Yüncü E, Başak Vural K, Mereu P, Pirastru M, Barbato M, Leoni GG, Güler MN, Er T, Eker E, Yazıcı TD, Kılıç MS, Altınışık NE, Çelik EA, Morell Miranda P, Dehasque M, Floridia V, Götherström A, Bilgin CC, Togan İ, Günther T, Özer F, Hadjisterkotis E, Somel M. Population Genomic History of the Endangered Anatolian and Cyprian Mouflons in Relation to Worldwide Wild, Feral, and Domestic Sheep Lineages. Genome Biol Evol 2024; 16:evae090. [PMID: 38670119 PMCID: PMC11109821 DOI: 10.1093/gbe/evae090] [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: 01/15/2024] [Revised: 04/09/2024] [Accepted: 04/22/2024] [Indexed: 04/28/2024] Open
Abstract
Once widespread in their homelands, the Anatolian mouflon (Ovis gmelini anatolica) and the Cyprian mouflon (Ovis gmelini ophion) were driven to near extinction during the 20th century and are currently listed as endangered populations by the International Union for Conservation of Nature. While the exact origins of these lineages remain unclear, they have been suggested to be close relatives of domestic sheep or remnants of proto-domestic sheep. Here, we study whole genome sequences of n = 5 Anatolian mouflons and n = 10 Cyprian mouflons in terms of population history and diversity, comparing them with eight other extant sheep lineages. We find reciprocal genetic affinity between Anatolian and Cyprian mouflons and domestic sheep, higher than all other studied wild sheep genomes, including the Iranian mouflon (O. gmelini). Studying diversity indices, we detect a considerable load of short runs of homozygosity blocks (<2 Mb) in both Anatolian and Cyprian mouflons, reflecting small effective population size (Ne). Meanwhile, Ne and mutation load estimates are lower in Cyprian compared with Anatolian mouflons, suggesting the purging of recessive deleterious variants in Cyprian sheep under a small long-term Ne, possibly attributable to founder effects, island isolation, introgression from domestic lineages, or differences in their bottleneck dynamics. Expanding our analyses to worldwide wild and feral Ovis genomes, we observe varying viability metrics among different lineages and a limited consistency between viability metrics and International Union for Conservation of Nature conservation status. Factors such as recent inbreeding, introgression, and unique population dynamics may have contributed to the observed disparities.
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Affiliation(s)
- Gözde Atağ
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Damla Kaptan
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Eren Yüncü
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Kıvılcım Başak Vural
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Paolo Mereu
- Department of Biochemical Sciences, University of Sassari, Sassari, Italy
| | - Monica Pirastru
- Department of Biochemical Sciences, University of Sassari, Sassari, Italy
| | - Mario Barbato
- Department of Veterinary Sciences, University of Messina, Messina, Italy
| | | | - Merve Nur Güler
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
| | - Tuğçe Er
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Elifnaz Eker
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Tunca Deniz Yazıcı
- Graduate School for Evolution, Ecology and Systematics, Ludwig Maximillian University of Munich, Munich, Germany
| | - Muhammed Sıddık Kılıç
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
| | | | - Ecem Ayşe Çelik
- Department of Settlement Archeology, Middle East Technical University, Ankara, Turkey
| | - Pedro Morell Miranda
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Marianne Dehasque
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Viviana Floridia
- Department of Veterinary Sciences, University of Messina, Messina, Italy
| | - Anders Götherström
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm University, Stockholm, Sweden
| | - Cemal Can Bilgin
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - İnci Togan
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Torsten Günther
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Füsun Özer
- Department of Anthropology, Hacettepe University, Ankara, Turkey
| | - Eleftherios Hadjisterkotis
- Agricultural Research Institute, Ministry of Agriculture, Rural Development and Environment, Nicosia, Cyprus
| | - Mehmet Somel
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
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2
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Al Hikmani H, van Oosterhout C, Birley T, Labisko J, Jackson HA, Spalton A, Tollington S, Groombridge JJ. Can genetic rescue help save Arabia's last big cat? Evol Appl 2024; 17:e13701. [PMID: 38784837 PMCID: PMC11113348 DOI: 10.1111/eva.13701] [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: 12/08/2023] [Revised: 04/01/2024] [Accepted: 04/10/2024] [Indexed: 05/25/2024] Open
Abstract
Genetic diversity underpins evolutionary potential that is essential for the long-term viability of wildlife populations. Captive populations harbor genetic diversity potentially lost in the wild, which could be valuable for release programs and genetic rescue. The Critically Endangered Arabian leopard (Panthera pardus nimr) has disappeared from most of its former range across the Arabian Peninsula, with fewer than 120 individuals left in the wild, and an additional 64 leopards in captivity. We (i) examine genetic diversity in the wild and captive populations to identify global patterns of genetic diversity and structure; (ii) estimate the size of the remaining leopard population across the Dhofar mountains of Oman using spatially explicit capture-recapture models on DNA and camera trap data, and (iii) explore the impact of genetic rescue using three complementary computer modeling approaches. We estimated a population size of 51 (95% CI 32-79) in the Dhofar mountains and found that 8 out of 25 microsatellite alleles present in eight loci in captive leopards were undetected in the wild. This includes two alleles present only in captive founders known to have been wild-sourced from Yemen, which suggests that this captive population represents an important source for genetic rescue. We then assessed the benefits of reintroducing novel genetic diversity into the wild population as well as the risks of elevating the genetic load through the release of captive-bred individuals. Simulations indicate that genetic rescue can improve the long-term viability of the wild population by reducing its genetic load and realized load. The model also suggests that the genetic load has been partly purged in the captive population, potentially making it a valuable source population for genetic rescue. However, the greater loss of its genetic diversity could exacerbate genomic erosion of the wild population during a rescue program, and these risks and benefits should be carefully evaluated. An important next step in the recovery of the Arabian leopard is to empirically validate these conclusions, implement and monitor a genomics-informed management plan, and optimize a strategy for genetic rescue as a tool to recover Arabia's last big cat.
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Affiliation(s)
- Hadi Al Hikmani
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, Division of Human and Social SciencesUniversity of KentCanterburyKentUK
- Office for Conservation of the EnvironmentDiwan of Royal CourtMuscatOman
- The Royal Commission for AlUlaAlUlaSaudi Arabia
| | - Cock van Oosterhout
- School of Environmental SciencesUniversity of East Anglia, Norwich Research ParkNorwichUK
| | - Thomas Birley
- School of Environmental SciencesUniversity of East Anglia, Norwich Research ParkNorwichUK
| | - Jim Labisko
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, Division of Human and Social SciencesUniversity of KentCanterburyKentUK
- Centre for Biodiversity and Environment Research, Research Department of Genetics, Evolution and EnvironmentUniversity College LondonLondonUK
- Island Biodiversity and Conservation CentreUniversity of SeychellesVictoriaSeychelles
- Department of Life SciencesThe Natural History MuseumLondonUK
| | - Hazel A. Jackson
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, Division of Human and Social SciencesUniversity of KentCanterburyKentUK
| | | | - Simon Tollington
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, Division of Human and Social SciencesUniversity of KentCanterburyKentUK
- School of Animal Rural and Environmental SciencesNottingham Trent UniversityNottinghamUK
| | - Jim J. Groombridge
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, Division of Human and Social SciencesUniversity of KentCanterburyKentUK
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3
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Ewart KM, Ho SYW, Chowdhury AA, Jaya FR, Kinjo Y, Bennett J, Bourguignon T, Rose HA, Lo N. Pervasive relaxed selection in termite genomes. Proc Biol Sci 2024; 291:20232439. [PMID: 38772424 DOI: 10.1098/rspb.2023.2439] [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: 10/30/2023] [Accepted: 05/02/2024] [Indexed: 05/23/2024] Open
Abstract
Genetic changes that enabled the evolution of eusociality have long captivated biologists. More recently, attention has focussed on the consequences of eusociality on genome evolution. Studies have reported higher molecular evolutionary rates in eusocial hymenopteran insects compared with their solitary relatives. To investigate the genomic consequences of eusociality in termites, we analysed nine genomes, including newly sequenced genomes from three non-eusocial cockroaches. Using a phylogenomic approach, we found that termite genomes have experienced lower rates of synonymous substitutions than those of cockroaches, possibly as a result of longer generation times. We identified higher rates of non-synonymous substitutions in termite genomes than in cockroach genomes, and identified pervasive relaxed selection in the former (24-31% of the genes analysed) compared with the latter (2-4%). We infer that this is due to reductions in effective population size, rather than gene-specific effects (e.g. indirect selection of caste-biased genes). We found no obvious signature of increased genetic load in termites, and postulate efficient purging of deleterious alleles at the colony level. Additionally, we identified genomic adaptations that may underpin caste differentiation, such as genes involved in post-translational modifications. Our results provide insights into the evolution of termites and the genomic consequences of eusociality more broadly.
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Affiliation(s)
- Kyle M Ewart
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Simon Y W Ho
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Al-Aabid Chowdhury
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Frederick R Jaya
- Ecology & Evolution, Research School of Biology, Australian National University, Acton, Australian Capital Territory, Australia
| | - Yukihiro Kinjo
- Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
- Okinawa International University, Okinawa, Japan
| | - Juno Bennett
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Thomas Bourguignon
- Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Harley A Rose
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Nathan Lo
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
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Steux C, Szpiech ZA. The Maintenance of Deleterious Variation in Wild Chinese Rhesus Macaques. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.04.560901. [PMID: 38712222 PMCID: PMC11071285 DOI: 10.1101/2023.10.04.560901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Understanding how deleterious variation is shaped and maintained in natural populations is important in conservation and evolutionary biology, as decreased fitness caused by these deleterious mutations can potentially lead to an increase in extinction risk. It is known that demographic processes can influence these patterns. For example, population bottlenecks and inbreeding increase the probability of inheriting identical-by-descent haplotypes from a recent common ancestor, creating long tracts of homozygous genotypes called runs of homozygosity (ROH), which have been associated with an accumulation of mildly deleterious homozygotes. Counter intuitively, positive selection can also maintain deleterious variants in a population through genetic hitchhiking. Here we analyze the whole genomes of 79 wild Chinese rhesus macaques across five subspecies and characterize patterns of deleterious variation with respect to ROH and signals of recent positive selection. We show that the fraction of homozygotes occurring in long ROH is significantly higher for deleterious homozygotes than tolerated ones, whereas this trend is not observed for short and medium ROH. This confirms that inbreeding, by generating these long tracts of homozygosity, is the main driver of the high burden of homozygous deleterious alleles in wild macaque populations. Furthermore, we show evidence that homozygous LOF variants are being purged. Next, we identify 7 deleterious variants at high frequency in regions putatively under selection near genes involved with olfaction and other processes. Our results shed light on how evolutionary processes can shape the distribution of deleterious variation in wild non-human primates.
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Affiliation(s)
- Camille Steux
- Department of Biology, Pennsylvania State University, USA
- Centre de Recherche sur la Biodiversité et l’Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 – Paul Sabatier (UT3), Toulouse, France
- Département de Biologie, École Normale Supérieure, PSL Université Paris, Paris, France
| | - Zachary A. Szpiech
- Department of Biology, Pennsylvania State University, USA
- Institute for Computational and Data Sciences, Pennsylvania State University, USA
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5
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Gomes-Dos-Santos A, Fonseca E, Riccardi N, Hinzmann M, Lopes-Lima M, Froufe E. The transcriptome assembly of the European freshwater mussel Unio elongatulus C. Pfeiffer, 1825. Sci Data 2024; 11:377. [PMID: 38609426 PMCID: PMC11014934 DOI: 10.1038/s41597-024-03226-y] [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: 10/26/2023] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
Freshwater mussels of the order Unionida are a global conservation concern. Species of this group are strictly freshwater, sessile, slow-growing animals and, extremely sensitive to environmental changes. Human-mediated changes in freshwater habitats are imposing enormous pressure on the survival of freshwater mussels. Although a few flagship species are protected in Europe, other highly imperilled species receive much less attention. Moreover, knowledge about biology, ecology, and evolution and proper conservation assessments of many European species are still sparse. This knowledge gap is further aggravated by the lack of genomic resources available, which are key tools for conservation. Here we present the transcriptome assembly of Unio elongatulus C. Pfeiffer, 1825, one of the least studied European freshwater mussels. Using the individual sequencing outputs from eight physiologically representative mussel tissues, we provide an annotated panel of tissue-specific Relative Gene Expression profiles. These resources are pivotal to studying the species' biological and ecological features, as well as helping to understand its vulnerability to current and future threats.
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Affiliation(s)
- André Gomes-Dos-Santos
- CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, S/N, P 4450-208, Matosinhos, Portugal.
| | - Elza Fonseca
- CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, S/N, P 4450-208, Matosinhos, Portugal
| | | | - Mariana Hinzmann
- CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, S/N, P 4450-208, Matosinhos, Portugal
| | - Manuel Lopes-Lima
- BIOPOLIS Program in Genomics, Biodiversity and Ecosystems, CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- IUCN SSC Mollusc Specialist Group, c/o IUCN, Cambridge, UK
| | - Elsa Froufe
- CIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, S/N, P 4450-208, Matosinhos, Portugal.
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6
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Wilder AP, Steiner CC, Hendricks S, Haller BC, Kim C, Korody ML, Ryder OA. Genetic load and viability of a future restored northern white rhino population. Evol Appl 2024; 17:e13683. [PMID: 38617823 PMCID: PMC11009427 DOI: 10.1111/eva.13683] [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: 11/28/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 04/16/2024] Open
Abstract
As biodiversity loss outpaces recovery, conservationists are increasingly turning to novel tools for preventing extinction, including cloning and in vitro gametogenesis of biobanked cells. However, restoration of populations can be hindered by low genetic diversity and deleterious genetic load. The persistence of the northern white rhino (Ceratotherium simum cottoni) now depends on the cryopreserved cells of 12 individuals. These banked genomes have higher genetic diversity than southern white rhinos (C. s. simum), a sister subspecies that successfully recovered from a severe bottleneck, but the potential impact of genetic load is unknown. We estimated how demographic history has shaped genome-wide genetic load in nine northern and 13 southern white rhinos. The bottleneck left southern white rhinos with more fixed and homozygous deleterious alleles and longer runs of homozygosity, whereas northern white rhinos retained more deleterious alleles masked in heterozygosity. To gauge the impact of genetic load on the fitness of a northern white rhino population restored from biobanked cells, we simulated recovery using fitness of southern white rhinos as a benchmark for a viable population. Unlike traditional restoration, cell-derived founders can be reintroduced in subsequent generations to boost lost genetic diversity and relieve inbreeding. In simulations with repeated reintroduction of founders into a restored population, the fitness cost of genetic load remained lower than that borne by southern white rhinos. Without reintroductions, rapid growth of the restored population (>20-30% per generation) would be needed to maintain comparable fitness. Our results suggest that inbreeding depression from genetic load is not necessarily a barrier to recovery of the northern white rhino and demonstrate how restoration from biobanked cells relieves some constraints of conventional restoration from a limited founder pool. Established conservation methods that protect healthy populations will remain paramount, but emerging technologies hold promise to bolster these tools to combat the extinction crisis.
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Affiliation(s)
- Aryn P. Wilder
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
| | - Cynthia C. Steiner
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
| | - Sarah Hendricks
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
- Institute for Interdisciplinary Data SciencesUniversity of IdahoMoscowIdahoUSA
| | | | - Chang Kim
- University of CaliforniaSanta Cruz Genomics InstituteSanta CruzCaliforniaUSA
- Department of Neurological SurgeryUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Marisa L. Korody
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
| | - Oliver A. Ryder
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
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7
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Jiang J, Xu YC, Zhang ZQ, Chen JF, Niu XM, Hou XH, Li XT, Wang L, Zhang YE, Ge S, Guo YL. Forces driving transposable element load variation during Arabidopsis range expansion. THE PLANT CELL 2024; 36:840-862. [PMID: 38036296 PMCID: PMC10980350 DOI: 10.1093/plcell/koad296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/25/2023] [Accepted: 11/06/2023] [Indexed: 12/02/2023]
Abstract
Genetic load refers to the accumulated and potentially life-threatening deleterious mutations in populations. Understanding the mechanisms underlying genetic load variation of transposable element (TE) insertion, a major large-effect mutation, during range expansion is an intriguing question in biology. Here, we used 1,115 global natural accessions of Arabidopsis (Arabidopsis thaliana) to study the driving forces of TE load variation during its range expansion. TE load increased with range expansion, especially in the recently established Yangtze River basin population. Effective population size, which explains 62.0% of the variance in TE load, high transposition rate, and selective sweeps contributed to TE accumulation in the expanded populations. We genetically mapped and identified multiple candidate causal genes and TEs, and revealed the genetic architecture of TE load variation. Overall, this study reveals the variation in TE genetic load during Arabidopsis expansion and highlights the causes of TE load variation from the perspectives of both population genetics and quantitative genetics.
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Affiliation(s)
- Juan Jiang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong-Chao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
| | - Zhi-Qin Zhang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jia-Fu Chen
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao-Min Niu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
| | - Xing-Hui Hou
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
| | - Xin-Tong Li
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Li Wang
- Agricultural Synthetic Biology Center, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Yong E Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Integrated Management of Pest Insects and Rodents & Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Song Ge
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ya-Long Guo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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8
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Taylor RS, Manseau M, Keobouasone S, Liu P, Mastromonaco G, Solmundson K, Kelly A, Larter NC, Gamberg M, Schwantje H, Thacker C, Polfus J, Andrew L, Hervieux D, Simmons D, Wilson PJ. High genetic load without purging in caribou, a diverse species at risk. Curr Biol 2024; 34:1234-1246.e7. [PMID: 38417444 DOI: 10.1016/j.cub.2024.02.002] [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: 09/05/2023] [Revised: 11/17/2023] [Accepted: 02/01/2024] [Indexed: 03/01/2024]
Abstract
High intra-specific genetic diversity is associated with adaptive potential, which is key for resilience to global change. However, high variation may also support deleterious alleles through genetic load, thereby increasing the risk of inbreeding depression if population sizes decrease. Purging of deleterious variation has been demonstrated in some threatened species. However, less is known about the costs of declines and inbreeding in species with large population sizes and high genetic diversity even though this encompasses many species globally that are expected to undergo population declines. Caribou is a species of ecological and cultural significance in North America with a wide distribution supporting extensive phenotypic variation but with some populations undergoing significant declines resulting in their at-risk status in Canada. We assessed intra-specific genetic variation, adaptive divergence, inbreeding, and genetic load across populations with different demographic histories using an annotated chromosome-scale reference genome and 66 whole-genome sequences. We found high genetic diversity and nine phylogenomic lineages across the continent with adaptive diversification of genes, but also high genetic load among lineages. We found highly divergent levels of inbreeding across individuals, including the loss of alleles by drift but not increased purging in inbred individuals, which had more homozygous deleterious alleles. We also found comparable frequencies of homozygous deleterious alleles between lineages regardless of nucleotide diversity. Thus, further inbreeding may need to be mitigated through conservation efforts. Our results highlight the "double-edged sword" of genetic diversity that may be representative of other species atrisk affected by anthropogenic activities.
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Affiliation(s)
- Rebecca S Taylor
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada.
| | - Micheline Manseau
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | - Sonesinh Keobouasone
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | - Peng Liu
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | | | - Kirsten Solmundson
- Environmental & Life Sciences Graduate Program, Trent University, Peterborough, ON K9L 1Z8, Canada
| | - Allicia Kelly
- Department of Environment and Natural Resources, Government of Northwest Territories, PO Box 900, Fort Smith, NT X0E 0P0, Canada
| | - Nicholas C Larter
- Department of Environment and Natural Resources, Government of Northwest Territories, PO Box 900, Fort Smith, NT X0E 0P0, Canada
| | - Mary Gamberg
- Gamberg Consulting, Jarvis Street, Whitehorse, YK Y1A 2J2, Canada
| | - Helen Schwantje
- British Columbia Ministry of Forest, Lands, Natural Resource Operations, and Rural Development, Labieux Road, Nanaimo, BC V9T 6E9, Canada
| | - Caeley Thacker
- British Columbia Ministry of Forest, Lands, Natural Resource Operations, and Rural Development, Labieux Road, Nanaimo, BC V9T 6E9, Canada
| | - Jean Polfus
- Canadian Wildlife Service - Pacific Region, Environment and Climate Change Canada, 1238 Discovery Avenue, Kelowna, BC V1V 1V9, Canada
| | - Leon Andrew
- Ɂehdzo Got'ı̨nę Gots'ę́ Nákedı (Sahtú Renewable Resources Board), P.O. Box 134, Tulít'a, NT X0E 0K0, Canada
| | - Dave Hervieux
- Alberta Ministry of Environment and Protected Areas, Government of Alberta, 10320-99 Street, Grande Prairie, AB T8V 6J4, Canada
| | - Deborah Simmons
- Ɂehdzo Got'ı̨nę Gots'ę́ Nákedı (Sahtú Renewable Resources Board), P.O. Box 134, Tulít'a, NT X0E 0K0, Canada
| | - Paul J Wilson
- Biology Department, Trent University, East Bank Drive, Peterborough, ON K9L 1Z8, Canada
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9
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Kyriazis CC, Lohmueller KE. Constraining models of dominance for nonsynonymous mutations in the human genome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.25.582010. [PMID: 38463985 PMCID: PMC10925099 DOI: 10.1101/2024.02.25.582010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Dominance is a fundamental parameter in genetics, determining the dynamics of natural selection on deleterious and beneficial mutations, the patterns of genetic variation in natural populations, and the severity of inbreeding depression in a population. Despite this importance, dominance parameters remain poorly known, particularly in humans or other non-model organisms. A key reason for this lack of information about dominance is that it is extremely challenging to disentangle the selection coefficient (s) of a mutation from its dominance coefficient (h). Here, we explore dominance and selection parameters in humans by fitting models to the site frequency spectrum (SFS) for nonsynonymous mutations. When assuming a single dominance coefficient for all nonsynonymous mutations, we find that numerous h values can fit the data, so long as h is greater than ~0.15. Moreover, we also observe that theoretically-predicted models with a negative relationship between h and s can also fit the data well, including models with h=0.05 for strongly deleterious mutations. Finally, we use our estimated dominance and selection parameters to inform simulations revisiting the question of whether the out-of-Africa bottleneck has led to differences in genetic load between African and non-African human populations. These simulations suggest that the relative burden of genetic load in non-African populations depends on the dominance model assumed, with slight increases for more weakly recessive models and slight decreases shown for more strongly recessive models. Moreover, these results also demonstrate that models of partially recessive nonsynonymous mutations can explain the observed severity of inbreeding depression in humans, bridging the gap between molecular population genetics and direct measures of fitness in humans. Our work represents a comprehensive assessment of dominance and deleterious variation in humans, with implications for parameterizing models of deleterious variation in humans and other mammalian species.
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Affiliation(s)
| | - Kirk E. Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, USA
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, USA
- Department of Human Genetics, David Geffen School of Medicine, Los Angeles, USA
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10
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Schmidt TL, Thia JA, Hoffmann AA. How Can Genomics Help or Hinder Wildlife Conservation? Annu Rev Anim Biosci 2024; 12:45-68. [PMID: 37788416 DOI: 10.1146/annurev-animal-021022-051810] [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] [Indexed: 10/05/2023]
Abstract
Genomic data are becoming increasingly affordable and easy to collect, and new tools for their analysis are appearing rapidly. Conservation biologists are interested in using this information to assist in management and planning but are typically limited financially and by the lack of genomic resources available for non-model taxa. It is therefore important to be aware of the pitfalls as well as the benefits of applying genomic approaches. Here, we highlight recent methods aimed at standardizing population assessments of genetic variation, inbreeding, and forms of genetic load and methods that help identify past and ongoing patterns of genetic interchange between populations, including those subjected to recent disturbance. We emphasize challenges in applying some of these methods and the need for adequate bioinformatic support. We also consider the promises and challenges of applying genomic approaches to understand adaptive changes in natural populations to predict their future adaptive capacity.
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Affiliation(s)
- Thomas L Schmidt
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Joshua A Thia
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
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11
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de Jong MJ, van Oosterhout C, Hoelzel AR, Janke A. Moderating the neutralist-selectionist debate: exactly which propositions are we debating, and which arguments are valid? Biol Rev Camb Philos Soc 2024; 99:23-55. [PMID: 37621151 DOI: 10.1111/brv.13010] [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: 03/15/2022] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023]
Abstract
Half a century after its foundation, the neutral theory of molecular evolution continues to attract controversy. The debate has been hampered by the coexistence of different interpretations of the core proposition of the neutral theory, the 'neutral mutation-random drift' hypothesis. In this review, we trace the origins of these ambiguities and suggest potential solutions. We highlight the difference between the original, the revised and the nearly neutral hypothesis, and re-emphasise that none of them equates to the null hypothesis of strict neutrality. We distinguish the neutral hypothesis of protein evolution, the main focus of the ongoing debate, from the neutral hypotheses of genomic and functional DNA evolution, which for many species are generally accepted. We advocate a further distinction between a narrow and an extended neutral hypothesis (of which the latter posits that random non-conservative amino acid substitutions can cause non-ecological phenotypic divergence), and we discuss the implications for evolutionary biology beyond the domain of molecular evolution. We furthermore point out that the debate has widened from its initial focus on point mutations, and also concerns the fitness effects of large-scale mutations, which can alter the dosage of genes and regulatory sequences. We evaluate the validity of neutralist and selectionist arguments and find that the tested predictions, apart from being sensitive to violation of underlying assumptions, are often derived from the null hypothesis of strict neutrality, or equally consistent with the opposing selectionist hypothesis, except when assuming molecular panselectionism. Our review aims to facilitate a constructive neutralist-selectionist debate, and thereby to contribute to answering a key question of evolutionary biology: what proportions of amino acid and nucleotide substitutions and polymorphisms are adaptive?
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Affiliation(s)
- Menno J de Jong
- Senckenberg Biodiversity and Climate Research Institute (SBiK-F), Georg-Voigt-Strasse 14-16, Frankfurt am Main, 60325, Germany
| | - Cock van Oosterhout
- Centre for Ecology, Evolution and Conservation, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - A Rus Hoelzel
- Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK
| | - Axel Janke
- Senckenberg Biodiversity and Climate Research Institute (SBiK-F), Georg-Voigt-Strasse 14-16, Frankfurt am Main, 60325, Germany
- Institute for Ecology, Evolution and Diversity, Goethe University, Max-von-Laue-Strasse 9, Frankfurt am Main, 60438, Germany
- LOEWE-Centre for Translational Biodiversity Genomics (TBG), Senckenberg Nature Research Society, Georg-Voigt-Straße 14-16, Frankfurt am Main, 60325, Germany
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12
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Scott MF, Mackintosh C, Immler S. Gametic selection favours polyandry and selfing. PLoS Genet 2024; 20:e1010660. [PMID: 38363804 PMCID: PMC10903963 DOI: 10.1371/journal.pgen.1010660] [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: 02/07/2023] [Revised: 02/29/2024] [Accepted: 01/22/2024] [Indexed: 02/18/2024] Open
Abstract
Competition among pollen or sperm (gametic selection) can cause evolution. Mating systems shape the intensity of gametic selection by determining the competitors involved, which can in turn cause the mating system itself to evolve. We model the bidirectional relationship between gametic selection and mating systems, focusing on variation in female mating frequency (monandry-polyandry) and self-fertilisation (selfing-outcrossing). First, we find that monandry and selfing both reduce the efficiency of gametic selection in removing deleterious alleles. This means that selfing can increase mutation load, in contrast to cases without gametic selection where selfing purges deleterious mutations and decreases mutation load. Second, we explore how mating systems evolve via their effect on gametic selection. By manipulating gametic selection, polyandry can evolve to increase the fitness of the offspring produced. However, this indirect advantage of post-copulatory sexual selection is weak and is likely to be overwhelmed by any direct fitness effects of mating systems. Nevertheless, gametic selection can be potentially decisive for selfing evolution because it significantly reduces inbreeding depression, which favours selfing. Thus, the presence of gametic selection could be a key factor driving selfing evolution.
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Affiliation(s)
- Michael Francis Scott
- School of Biological Sciences, University of East Anglia, Norwich, Norfolk, United Kingdom
| | - Carl Mackintosh
- CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Roscoff, France
- Sorbonne Universités, UPMC Université Paris VI, Roscoff, France
| | - Simone Immler
- School of Biological Sciences, University of East Anglia, Norwich, Norfolk, United Kingdom
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13
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Cole JB. Perspective: Can we actually do anything about inbreeding? J Dairy Sci 2024; 107:643-648. [PMID: 37777000 DOI: 10.3168/jds.2023-23958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/07/2023] [Indexed: 10/02/2023]
Affiliation(s)
- John B Cole
- URUS Group LP, Madison, WI 53718; Department of Animal Sciences, University of Florida, Gainesville, FL 32611; Department of Animal Science, North Carolina State University, Raleigh, NC 27695.
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14
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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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15
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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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16
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Pečnerová P, Lord E, Garcia-Erill G, Hanghøj K, Rasmussen MS, Meisner J, Liu X, van der Valk T, Santander CG, Quinn L, Lin L, Liu S, Carøe C, Dalerum F, Götherström A, Måsviken J, Vartanyan S, Raundrup K, Al-Chaer A, Rasmussen L, Hvilsom C, Heide-Jørgensen MP, Sinding MHS, Aastrup P, Van Coeverden de Groot PJ, Schmidt NM, Albrechtsen A, Dalén L, Heller R, Moltke I, Siegismund HR. Population genomics of the muskox' resilience in the near absence of genetic variation. Mol Ecol 2024; 33:e17205. [PMID: 37971141 DOI: 10.1111/mec.17205] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/07/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023]
Abstract
Genomic studies of species threatened by extinction are providing crucial information about evolutionary mechanisms and genetic consequences of population declines and bottlenecks. However, to understand how species avoid the extinction vortex, insights can be drawn by studying species that thrive despite past declines. Here, we studied the population genomics of the muskox (Ovibos moschatus), an Ice Age relict that was at the brink of extinction for thousands of years at the end of the Pleistocene yet appears to be thriving today. We analysed 108 whole genomes, including present-day individuals representing the current native range of both muskox subspecies, the white-faced and the barren-ground muskox (O. moschatus wardi and O. moschatus moschatus) and a ~21,000-year-old ancient individual from Siberia. We found that the muskox' demographic history was profoundly shaped by past climate changes and post-glacial re-colonizations. In particular, the white-faced muskox has the lowest genome-wide heterozygosity recorded in an ungulate. Yet, there is no evidence of inbreeding depression in native muskox populations. We hypothesize that this can be explained by the effect of long-term gradual population declines that allowed for purging of strongly deleterious mutations. This study provides insights into how species with a history of population bottlenecks, small population sizes and low genetic diversity survive against all odds.
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Affiliation(s)
- Patrícia Pečnerová
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Zoo, Frederiksberg, Denmark
| | - Edana Lord
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Genís Garcia-Erill
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Hanghøj
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Malthe Sebro Rasmussen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Meisner
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xiaodong Liu
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Tom van der Valk
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Cindy G Santander
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Liam Quinn
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Long Lin
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Shanlin Liu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Carøe
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Fredrik Dalerum
- Department of Zoology, Stockholm University, Stockholm, Sweden
- Biodiversity Research Institute (CSIC-UO-PA), Mieres, Spain
- Department of Zoology and Entomology, Mammal Research Institute, University of Pretoria, Hatfield, South Africa
| | - Anders Götherström
- Centre for Palaeogenetics, Stockholm, Sweden
- Archaeological Research Laboratory, Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Johannes Måsviken
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Sergey Vartanyan
- North-East Interdisciplinary Scientific Research Institute N.A.N.A. Shilo, Russian Academy of Sciences, Magadan, Russia
| | | | - Amal Al-Chaer
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Linett Rasmussen
- Copenhagen Zoo, Frederiksberg, Denmark
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Mads Peter Heide-Jørgensen
- Greenland Institute of Natural Resources, Nuuk, Greenland
- Greenland Institute of Natural Resources, Copenhagen, Denmark
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - Peter Aastrup
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
- Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | | | - Niels Martin Schmidt
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
- Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | - Anders Albrechtsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Rasmus Heller
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ida Moltke
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Hans Redlef Siegismund
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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17
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Kardos M. Genomes of an endangered rattlesnake show that neutral genetic variation predicts adaptive genetic variation and genetic load. Proc Natl Acad Sci U S A 2023; 120:e2316880120. [PMID: 38011578 PMCID: PMC10710039 DOI: 10.1073/pnas.2316880120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023] Open
Affiliation(s)
- Marty Kardos
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA98112
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18
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Kyriazis CC, Robinson JA, Lohmueller KE. Using Computational Simulations to Model Deleterious Variation and Genetic Load in Natural Populations. Am Nat 2023; 202:737-752. [PMID: 38033186 PMCID: PMC10897732 DOI: 10.1086/726736] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
AbstractDeleterious genetic variation is abundant in wild populations, and understanding the ecological and conservation implications of such variation is an area of active research. Genomic methods are increasingly used to quantify the impacts of deleterious variation in natural populations; however, these approaches remain limited by an inability to accurately predict the selective and dominance effects of mutations. Computational simulations of deleterious variation offer a complementary tool that can help overcome these limitations, although such approaches have yet to be widely employed. In this perspective article, we aim to encourage ecological and conservation genomics researchers to adopt greater use of computational simulations to aid in deepening our understanding of deleterious variation in natural populations. We first provide an overview of the components of a simulation of deleterious variation, describing the key parameters involved in such models. Next, we discuss several approaches for validating simulation models. Finally, we compare and validate several recently proposed deleterious mutation models, demonstrating that models based on estimates of selection parameters from experimental systems are biased toward highly deleterious mutations. We describe a new model that is supported by multiple orthogonal lines of evidence and provide example scripts for implementing this model (https://github.com/ckyriazis/simulations_review).
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19
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Maroso F, Padovani G, Muñoz Mora VH, Giannelli F, Trucchi E, Bertorelle G. Fitness consequences and ancestry loss in the Apennine brown bear after a simulated genetic rescue intervention. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023; 37:e14133. [PMID: 37259604 DOI: 10.1111/cobi.14133] [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: 07/05/2022] [Revised: 03/14/2023] [Accepted: 03/22/2023] [Indexed: 06/02/2023]
Abstract
Reduction in population size, with its predicted effects on population fitness, is the most alarming anthropogenic impact on endangered species. By introducing compatible individuals, genetic rescue (GR) is a promising but debated approach for reducing the genetic load unmasked by inbreeding and for restoring the fitness of declining populations. Although GR can improve genetic diversity and fitness, it can also produce loss of ancestry, hampering local adaptation, or replace with introduced variants the unique genetic pools evolved in endemic groups. We used forward genetic simulations based on empirical genomic data to assess fitness benefits and loss of ancestry risks of GR in the Apennine brown bear (Ursus arctos marsicanus). There are approximately 50 individuals of this isolated subspecies, and they have lower genetic diversity and higher inbreeding than other European brown bears, and GR has been suggested to reduce extinction risks. We compared 10 GR scenarios in which the number and genetic characteristics of migrants varied with a non-GR scenario of simple demographic increase due to nongenetic factors. The introduction of 5 individuals of higher fitness or lower levels of deleterious mutations than the target Apennine brown bear from a larger European brown bear population produced a rapid 10-20% increase in fitness in the subspecies and up to 22.4% loss of ancestry over 30 generations. Without a contemporary demographic increase, fitness started to decline again after a few generations. Doubling the population size without GR gradually increased fitness to a comparable level, but without losing ancestry, thus resulting in the best strategy for the Apennine brown bear conservation. Our results highlight the importance for management of endangered species of realistic forward simulations grounded in empirical whole-genome data.
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Affiliation(s)
- Francesco Maroso
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
- Department of Biology, University of Padova, Padova, Italy
| | - Giada Padovani
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | | | - Francesco Giannelli
- Department of Life and Environmental Science, Marche Polytechnic University, Ancona, Italy
| | - Emiliano Trucchi
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
- Department of Life and Environmental Science, Marche Polytechnic University, Ancona, Italy
| | - Giorgio Bertorelle
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
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20
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Femerling G, van Oosterhout C, Feng S, Bristol RM, Zhang G, Groombridge J, P Gilbert MT, Morales HE. Genetic Load and Adaptive Potential of a Recovered Avian Species that Narrowly Avoided Extinction. Mol Biol Evol 2023; 40:msad256. [PMID: 37995319 DOI: 10.1093/molbev/msad256] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 10/26/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023] Open
Abstract
High genetic diversity is a good predictor of long-term population viability, yet some species persevere despite having low genetic diversity. Here we study the genomic erosion of the Seychelles paradise flycatcher (Terpsiphone corvina), a species that narrowly avoided extinction after having declined to 28 individuals in the 1960s. The species recovered unassisted to over 250 individuals in the 1990s and was downlisted from Critically Endangered to Vulnerable in the International Union for the Conservation of Nature Red List in 2020. By comparing historical, prebottleneck (130+ years old) and modern genomes, we uncovered a 10-fold loss of genetic diversity. Highly deleterious mutations were partly purged during the bottleneck, but mildly deleterious mutations accumulated. The genome shows signs of historical inbreeding during the bottleneck in the 1960s, but low levels of recent inbreeding after demographic recovery. Computer simulations suggest that the species long-term small Ne reduced the masked genetic load and made the species more resilient to inbreeding and extinction. However, the reduction in genetic diversity due to the chronically small Ne and the severe bottleneck is likely to have reduced the species adaptive potential to face environmental change, which together with a higher load, compromises its long-term population viability. Thus, small ancestral Ne offers short-term bottleneck resilience but hampers long-term adaptability to environmental shifts. In light of rapid global rates of population decline, our work shows that species can continue to suffer the effect of their decline even after recovery, highlighting the importance of considering genomic erosion and computer modeling in conservation assessments.
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Affiliation(s)
- Georgette Femerling
- Section for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | | | - Shaohong Feng
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China
| | - Rachel M Bristol
- Mahe, Seychelles
- Division of Human and Social Sciences, Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, Kent, CT2 7NR, UK
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China
| | - Jim Groombridge
- Division of Human and Social Sciences, Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, Kent, CT2 7NR, UK
| | - M Thomas P Gilbert
- Section for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Hernán E Morales
- Section for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
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21
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Mathur S, Mason AJ, Bradburd GS, Gibbs HL. Functional genomic diversity is correlated with neutral genomic diversity in populations of an endangered rattlesnake. Proc Natl Acad Sci U S A 2023; 120:e2303043120. [PMID: 37844221 PMCID: PMC10614936 DOI: 10.1073/pnas.2303043120] [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: 02/22/2023] [Accepted: 09/19/2023] [Indexed: 10/18/2023] Open
Abstract
Theory predicts that genetic erosion in small, isolated populations of endangered species can be assessed using estimates of neutral genetic variation, yet this widely used approach has recently been questioned in the genomics era. Here, we leverage a chromosome-level genome assembly of an endangered rattlesnake (Sistrurus catenatus) combined with whole genome resequencing data (N = 110 individuals) to evaluate the relationship between levels of genome-wide neutral and functional diversity over historical and future timescales. As predicted, we found positive correlations between genome-wide estimates of neutral genetic diversity (π) and inferred levels of adaptive variation and an estimate of inbreeding mutation load, and a negative relationship between neutral diversity and an estimate of drift mutation load. However, these correlations were half as strong for projected future levels of neutral diversity based on contemporary effective population sizes. Broadly, our results confirm that estimates of neutral genetic diversity provide an accurate measure of genetic erosion in populations of a threatened vertebrate. They also provide nuance to the neutral-functional diversity controversy by suggesting that while these correlations exist, anthropogenetic impacts may have weakened these associations in the recent past and into the future.
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Affiliation(s)
- Samarth Mathur
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH48824
- Ohio Biodiversity Conservation Partnership, The Ohio State University, Columbus, OH43210
| | - Andrew J. Mason
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH48824
- Ohio Biodiversity Conservation Partnership, The Ohio State University, Columbus, OH43210
| | - Gideon S. Bradburd
- Evolution and Behavior Program, Department of Integrative Biology, Ecology, Michigan State University, East Lansing, MI48824
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI48109
| | - H. Lisle Gibbs
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH48824
- Ohio Biodiversity Conservation Partnership, The Ohio State University, Columbus, OH43210
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22
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Wang D, Salehian-Dehkordi H, Suo L, Lv F. Impacts of Population Size and Domestication Process on Genetic Diversity and Genetic Load in Genus Ovis. Genes (Basel) 2023; 14:1977. [PMID: 37895326 PMCID: PMC10606048 DOI: 10.3390/genes14101977] [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: 09/26/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 10/29/2023] Open
Abstract
In theoretical biology, a prevailing hypothesis posits a profound interconnection between effective population size (Ne), genetic diversity, inbreeding, and genetic load. The domestication and improvement processes are believed to be pivotal in diminishing genetic diversity while elevating levels of inbreeding and increasing genetic load. In this study, we performed a whole genome analysis to quantity genetic diversity, inbreeding, and genetic load across seven wild Ovis species and five domesticated sheep breeds. Our research demonstrates that the genetic load and diversity of species in the genus Ovis have no discernible impact on recent Ne, and three species within the subgenus Pachyceros tend to carry a higher genetic load and lower genetic diversity patterns. The results coincide with these species' dramatic decline in population sizes within the subgenus Pachyceros ~80-250 thousand years ago. European mouflon presented with the lowest Ne, lower genetic diversity, and higher individual inbreeding coefficient but a lower genetic load (missense and LoF). This suggests that the small Ne of European mouflon could reduce harmful mutations compared to other species within the genus Ovis. We showed lower genetic diversity in domesticated sheep than in Asiatic mouflon, but counterintuitive patterns of genetic load, i.e., lower weak genetic load (missense mutation) and no significant difference in strong genetic load (LoF mutation) between domestic sheep and Asiatic mouflon. These findings reveal that the "cost of domestication" during domestication and improvement processes reduced genetic diversity and purified weak genetic load more efficiently than wild species.
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Affiliation(s)
- Dongfeng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China;
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China;
| | | | - Langda Suo
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850009, China;
| | - Fenghua Lv
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China;
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23
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Dussex N, Tørresen OK, van der Valk T, Le Moullec M, Veiberg V, Tooming-Klunderud A, Skage M, Garmann-Aarhus B, Wood J, Rasmussen JA, Pedersen ÅØ, Martin SL, Røed KH, Jakobsen KS, Dalén L, Hansen BB, Martin MD. Adaptation to the High-Arctic island environment despite long-term reduced genetic variation in Svalbard reindeer. iScience 2023; 26:107811. [PMID: 37744038 PMCID: PMC10514459 DOI: 10.1016/j.isci.2023.107811] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 07/24/2023] [Accepted: 08/30/2023] [Indexed: 09/26/2023] Open
Abstract
Typically much smaller in number than their mainland counterparts, island populations are ideal systems to investigate genetic threats to small populations. The Svalbard reindeer (Rangifer tarandus platyrhynchus) is an endemic subspecies that colonized the Svalbard archipelago ca. 6,000-8,000 years ago and now shows numerous physiological and morphological adaptations to its arctic habitat. Here, we report a de-novo chromosome-level assembly for Svalbard reindeer and analyze 133 reindeer genomes spanning Svalbard and most of the species' Holarctic range, to examine the genomic consequences of long-term isolation and small population size in this insular subspecies. Empirical data, demographic reconstructions, and forward simulations show that long-term isolation and high inbreeding levels may have facilitated the reduction of highly deleterious-and to a lesser extent, moderately deleterious-variation. Our study indicates that long-term reduced genetic diversity did not preclude local adaptation to the High Arctic, suggesting that even severely bottlenecked populations can retain evolutionary potential.
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Affiliation(s)
- Nicolas Dussex
- Department of Natural History, University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 47A, Trondheim, Norway
| | - Ole K. Tørresen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, PO Box 1066 Blindern, N-0316 Oslo, Norway
| | - Tom van der Valk
- Centre for PalaeoGenetics, Svante Arrhenius väg 20C, SE 106 91 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE 104 05 Stockholm, Sweden
| | - Mathilde Le Moullec
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), NO 7491 Trondheim, Norway
| | - Vebjørn Veiberg
- Department of Terrestrial Ecology, Norwegian Institute for Nature Research (NINA), NO 7034 Trondheim, Trondheim, Norway
| | - Ave Tooming-Klunderud
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, PO Box 1066 Blindern, N-0316 Oslo, Norway
| | - Morten Skage
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, PO Box 1066 Blindern, N-0316 Oslo, Norway
| | - Benedicte Garmann-Aarhus
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, PO Box 1066 Blindern, N-0316 Oslo, Norway
- Natural History Museum, University of Oslo, NO 0318 Oslo, Norway
| | - Jonathan Wood
- Tree of Life, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA Cambridge, UK
| | - Jacob A. Rasmussen
- Department of Natural History, University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 47A, Trondheim, Norway
- Globe Institute, University of Copenhagen, 2100 Copenhagen, Denmark
| | | | - Sarah L.F. Martin
- Department of Natural History, University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 47A, Trondheim, Norway
| | - Knut H. Røed
- Department of Preclinical Sciences and Pathology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Kjetill S. Jakobsen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, PO Box 1066 Blindern, N-0316 Oslo, Norway
| | - Love Dalén
- Centre for PalaeoGenetics, Svante Arrhenius väg 20C, SE 106 91 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE 104 05 Stockholm, Sweden
- Department of Zoology, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Brage B. Hansen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), NO 7491 Trondheim, Norway
- Department of Terrestrial Ecology, Norwegian Institute for Nature Research (NINA), NO 7034 Trondheim, Trondheim, Norway
| | - Michael D. Martin
- Department of Natural History, University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 47A, Trondheim, Norway
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), NO 7491 Trondheim, Norway
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24
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Dussex N, Kurland S, Olsen RA, Spong G, Ericsson G, Ekblom R, Ryman N, Dalén L, Laikre L. Range-wide and temporal genomic analyses reveal the consequences of near-extinction in Swedish moose. Commun Biol 2023; 6:1035. [PMID: 37848497 PMCID: PMC10582009 DOI: 10.1038/s42003-023-05385-x] [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: 04/28/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023] Open
Abstract
Ungulate species have experienced severe declines over the past centuries through overharvesting and habitat loss. Even if many game species have recovered thanks to strict hunting regulation, the genome-wide impacts of overharvesting are still unclear. Here, we examine the temporal and geographical differences in genome-wide diversity in moose (Alces alces) over its whole range in Sweden by sequencing 87 modern and historical genomes. We found limited impact of the 1900s near-extinction event but local variation in inbreeding and load in modern populations, as well as suggestion of a risk of future reduction in genetic diversity and gene flow. Furthermore, we found candidate genes for local adaptation, and rapid temporal allele frequency shifts involving coding genes since the 1980s, possibly due to selective harvesting. Our results highlight that genomic changes potentially impacting fitness can occur over short time scales and underline the need to track both deleterious and selectively advantageous genomic variation.
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Affiliation(s)
- Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-106 91, Stockholm, Sweden.
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden.
- Norwegian University of Science and Technology, University Museum, Trondheim, NO-7491, Norway.
| | - Sara Kurland
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden
| | - Remi-André Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-171 21, Solna, Sweden
| | - Göran Spong
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, SE-901 83, Umeå, Sweden
| | - Göran Ericsson
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, SE-901 83, Umeå, Sweden
| | - Robert Ekblom
- Wildlife Analysis Unit, Swedish Environmental Protection Agency, SE-106 48, Stockholm, Sweden
| | - Nils Ryman
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-106 91, Stockholm, Sweden
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden
| | - Linda Laikre
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden.
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25
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Guhlin J, Le Lec MF, Wold J, Koot E, Winter D, Biggs PJ, Galla SJ, Urban L, Foster Y, Cox MP, Digby A, Uddstrom LR, Eason D, Vercoe D, Davis T, Howard JT, Jarvis ED, Robertson FE, Robertson BC, Gemmell NJ, Steeves TE, Santure AW, Dearden PK. Species-wide genomics of kākāpō provides tools to accelerate recovery. Nat Ecol Evol 2023; 7:1693-1705. [PMID: 37640765 DOI: 10.1038/s41559-023-02165-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 07/11/2023] [Indexed: 08/31/2023]
Abstract
The kākāpō is a critically endangered, intensively managed, long-lived nocturnal parrot endemic to Aotearoa New Zealand. We generated and analysed whole-genome sequence data for nearly all individuals living in early 2018 (169 individuals) to generate a high-quality species-wide genetic variant callset. We leverage extensive long-term metadata to quantify genome-wide diversity of the species over time and present new approaches using probabilistic programming, combined with a phenotype dataset spanning five decades, to disentangle phenotypic variance into environmental and genetic effects while quantifying uncertainty in small populations. We find associations for growth, disease susceptibility, clutch size and egg fertility within genic regions previously shown to influence these traits in other species. Finally, we generate breeding values to predict phenotype and illustrate that active management over the past 45 years has maintained both genome-wide diversity and diversity in breeding values and, hence, evolutionary potential. We provide new pathways for informing future conservation management decisions for kākāpō, including prioritizing individuals for translocation and monitoring individuals with poor growth or high disease risk. Overall, by explicitly addressing the challenge of the small sample size, we provide a template for the inclusion of genomic data that will be transformational for species recovery efforts around the globe.
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Affiliation(s)
- Joseph Guhlin
- Genomics Aotearoa, Biochemistry Department, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand
| | - Marissa F Le Lec
- Genomics Aotearoa, Biochemistry Department, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand
| | - Jana Wold
- School of Biological Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand
| | - Emily Koot
- The New Zealand Institute for Plant and Food Research Ltd, Palmerston North, Aotearoa New Zealand
| | - David Winter
- School of Natural Sciences, Massey University, Palmerston North, Aotearoa New Zealand
| | - Patrick J Biggs
- School of Natural Sciences, Massey University, Palmerston North, Aotearoa New Zealand
- School of Veterinary Science, Massey University, Palmerston North, Aotearoa New Zealand
| | - Stephanie J Galla
- School of Biological Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand
- Department of Biological Sciences, Boise State University, Boise, ID, USA
| | - Lara Urban
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand
- Helmholtz Pioneer Campus, Helmholtz Zentrum Muenchen, Neuherberg, Germany
- Helmholtz AI, Helmholtz Zentrum Muenchen, Neuherberg, Germany
- School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Yasmin Foster
- Department of Zoology, University of Otago, Dunedin, Aotearoa New Zealand
| | - Murray P Cox
- School of Natural Sciences, Massey University, Palmerston North, Aotearoa New Zealand
- Department of Statistics, University of Auckland, Auckland, Aotearoa New Zealand
| | - Andrew Digby
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand
| | - Lydia R Uddstrom
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand
| | - Daryl Eason
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand
| | - Deidre Vercoe
- Kākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand
| | - Tāne Davis
- Rakiura Tītī Islands Administering Body, Invercargill, Aotearoa New Zealand
| | - Jason T Howard
- Neurogenetics of Language Lab, The Rockefeller University, New York, NY, USA
- Mirxes, Cambridge, MA, USA
| | - Erich D Jarvis
- The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Fiona E Robertson
- Department of Zoology, University of Otago, Dunedin, Aotearoa New Zealand
| | - Bruce C Robertson
- Department of Zoology, University of Otago, Dunedin, Aotearoa New Zealand
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand
| | - Tammy E Steeves
- School of Biological Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand
| | - Anna W Santure
- School of Biological Sciences, University of Auckland, Auckland, Aotearoa New Zealand
| | - Peter K Dearden
- Genomics Aotearoa, Biochemistry Department, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand.
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26
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Dussex N, Morales HE, Grossen C, Dalén L, van Oosterhout C. Purging and accumulation of genetic load in conservation. Trends Ecol Evol 2023; 38:961-969. [PMID: 37344276 DOI: 10.1016/j.tree.2023.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 06/23/2023]
Abstract
Our ability to assess the threat posed by the genetic load to small and declining populations has been greatly improved by advances in genome sequencing and computational approaches. Yet, considerable confusion remains around the definitions of the genetic load and its dynamics, and how they impact individual fitness and population viability. We illustrate how both selective purging and drift affect the distribution of deleterious mutations during population size decline and recovery. We show how this impacts the composition of the genetic load, and how this affects the extinction risk and recovery potential of populations. We propose a framework to examine load dynamics and advocate for the introduction of load estimates in the management of endangered populations.
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Affiliation(s)
- Nicolas Dussex
- Department of Natural History, NTNU University Museum, Erling Skakkes Gate 47A, 7012 Trondheim, Norway.
| | - Hernán E Morales
- Center for Evolutionary Hologenomics, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Christine Grossen
- WSL Swiss Federal Research Institute, CH-8903 Birmensdorf, Switzerland
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-106 91 Stockholm, Sweden
| | - Cock van Oosterhout
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, NR4 7TJ Norwich, UK
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27
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Mochales-Riaño G, Fontsere C, de Manuel M, Talavera A, Burriel-Carranza B, Tejero-Cicuéndez H, AlGethami RHM, Shobrak M, Marques-Bonet T, Carranza S. Genomics reveals introgression and purging of deleterious mutations in the Arabian leopard ( Panthera pardus nimr). iScience 2023; 26:107481. [PMID: 37601769 PMCID: PMC10432787 DOI: 10.1016/j.isci.2023.107481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/21/2023] [Accepted: 07/24/2023] [Indexed: 08/22/2023] Open
Abstract
In endangered species, low-genetic variation and inbreeding result from recent population declines. Genetic screenings in endangered populations help to assess their vulnerability to extinction and to create informed management actions toward their conservation efforts. The leopard, Panthera pardus, is a highly generalist predator with currently eight different subspecies. Yet, genomic data are still lacking for the Critically Endangered Arabian leopard (P. p. nimr). Here, we sequenced the whole genome of two Arabian leopards and assembled the most complete genomic dataset for leopards to date. Our phylogenomic analyses show that leopards are divided into two deeply divergent clades: the African and the Asian. Conservation genomic analyses indicate a prolonged population decline, which has led to an increase in inbreeding and runs of homozygosity, with consequent purging of deleterious mutations in both Arabian individuals. Our study represents the first attempt to genetically inform captive breeding programmes for this Critically Endangered subspecies.
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Affiliation(s)
| | - Claudia Fontsere
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Øster Farimagsgade 5A, 1352 Copenhagen, Denmark
| | - Marc de Manuel
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Adrián Talavera
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | | | - Héctor Tejero-Cicuéndez
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- Department of Biodiversity, Ecology and Evolution, Faculty of Biology, Universidad Complutense de Madrid, Madrid, Spain
| | - Raed Hamoud M. AlGethami
- National Center for Wildlife, Prince Saud Al-Faisal for Wildlife Research, P. O Box 1086, Taif, Taif 21944, Saudi Arabia
| | - Mohammed Shobrak
- National Center for Wildlife, Prince Saud Al-Faisal for Wildlife Research, P. O Box 1086, Taif, Taif 21944, Saudi Arabia
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Salvador Carranza
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
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28
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Rougemont Q, Leroy T, Rondeau EB, Koop B, Bernatchez L. Allele surfing causes maladaptation in a Pacific salmon of conservation concern. PLoS Genet 2023; 19:e1010918. [PMID: 37683018 PMCID: PMC10545117 DOI: 10.1371/journal.pgen.1010918] [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: 11/11/2022] [Revised: 10/02/2023] [Accepted: 08/11/2023] [Indexed: 09/10/2023] Open
Abstract
How various factors, including demography, recombination or genome duplication, may impact the efficacy of natural selection and the burden of deleterious mutations, is a central question in evolutionary biology and genetics. In this study, we show that key evolutionary processes, including variations in i) effective population size (Ne) ii) recombination rates and iii) chromosome inheritance, have influenced the genetic load and efficacy of selection in Coho salmon (Oncorhynchus kisutch), a widely distributed salmonid species on the west coast of North America. Using whole genome resequencing data from 14 populations at different migratory distances from their southern glacial refugium, we found evidence supporting gene surfing, wherein reduced Ne at the postglacial recolonization front, leads to a decrease in the efficacy of selection and a surf of deleterious alleles in the northernmost populations. Furthermore, our results indicate that recombination rates play a prime role in shaping the load along the genome. Additionally, we identified variation in polyploidy as a contributing factor to within-genome variation of the load. Overall, our results align remarkably well with expectations under the nearly neutral theory of molecular evolution. We discuss the fundamental and applied implications of these findings for evolutionary and conservation genomics.
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Affiliation(s)
- Quentin Rougemont
- Centre d’Ecologie Fonctionnelle et Evolutive, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Thibault Leroy
- GenPhySE, INRAE, INP, ENVT, Université de Toulouse, Auzeville- Tolosane, France
| | - Eric B. Rondeau
- Department of Fisheries and Ocean, Pacific Biological Station, Nanaimo, Canada
| | - Ben Koop
- Department of Biology, University of Victoria, Victoria, Canada
| | - Louis Bernatchez
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Canada
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29
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Burnett HA, Bieker VC, Le Moullec M, Peeters B, Rosvold J, Pedersen ÅØ, Dalén L, Loe LE, Jensen H, Hansen BB, Martin MD. Contrasting genomic consequences of anthropogenic reintroduction and natural recolonization in high-arctic wild reindeer. Evol Appl 2023; 16:1531-1548. [PMID: 37752961 PMCID: PMC10519417 DOI: 10.1111/eva.13585] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 07/27/2023] [Accepted: 08/01/2023] [Indexed: 09/28/2023] Open
Abstract
Anthropogenic reintroduction can supplement natural recolonization in reestablishing a species' distribution and abundance. However, both reintroductions and recolonizations can give rise to founder effects that reduce genetic diversity and increase inbreeding, potentially causing the accumulation of genetic load and reduced fitness. Most current populations of the endemic high-arctic Svalbard reindeer (Rangifer tarandus platyrhynchus) originate from recent reintroductions or recolonizations following regional extirpations due to past overharvesting. We investigated and compared the genomic consequences of these two paths to reestablishment using whole-genome shotgun sequencing of 100 Svalbard reindeer across their range. We found little admixture between reintroduced and natural populations. Two reintroduced populations, each founded by 12 individuals around four decades (i.e. 8 reindeer generations) ago, formed two distinct genetic clusters. Compared to the source population, these populations showed only small decreases in genome-wide heterozygosity and increases in inbreeding and lengths of runs of homozygosity. In contrast, the two naturally recolonized populations without admixture possessed much lower heterozygosity, higher inbreeding and longer runs of homozygosity, possibly caused by serial population founder effects and/or fewer or more genetically related founders than in the reintroduction events. Naturally recolonized populations can thus be more vulnerable to the accumulation of genetic load than reintroduced populations. This suggests that in some organisms even small-scale reintroduction programs based on genetically diverse source populations can be more effective than natural recolonization in establishing genetically diverse populations. These findings warrant particular attention in the conservation and management of populations and species threatened by habitat fragmentation and loss.
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Affiliation(s)
- Hamish A. Burnett
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
- Department of Natural History, NTNU University MuseumNorwegian University of Science and Technology (NTNU)TrondheimNorway
| | - Vanessa C. Bieker
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
- Department of Natural History, NTNU University MuseumNorwegian University of Science and Technology (NTNU)TrondheimNorway
| | - Mathilde Le Moullec
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
| | - Bart Peeters
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
| | - Jørgen Rosvold
- Department of Terrestrial BiodiversityNorwegian Institute for Nature Research (NINA)TrondheimNorway
| | | | - Love Dalén
- Centre for PalaeogeneticsStockholmSweden
- Department of Bioinformatics and GeneticsSwedish Museum of Natural HistoryStockholmSweden
- Department of ZoologyStockholm UniversityStockholmSweden
| | - Leif Egil Loe
- Faculty of Environmental Sciences and Natural Resource ManagementNorwegian University of Life SciencesAasNorway
| | - Henrik Jensen
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
| | - Brage B. Hansen
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
| | - Michael D. Martin
- Centre for Biodiversity Dynamics, Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
- Department of Natural History, NTNU University MuseumNorwegian University of Science and Technology (NTNU)TrondheimNorway
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30
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Sánchez-Barreiro F, De Cahsan B, Westbury MV, Sun X, Margaryan A, Fontsere C, Bruford MW, Russo IRM, Kalthoff DC, Sicheritz-Pontén T, Petersen B, Dalén L, Zhang G, Marquès-Bonet T, Gilbert MTP, Moodley Y. Historic Sampling of a Vanishing Beast: Population Structure and Diversity in the Black Rhinoceros. Mol Biol Evol 2023; 40:msad180. [PMID: 37561011 PMCID: PMC10500089 DOI: 10.1093/molbev/msad180] [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: 09/16/2022] [Revised: 08/01/2023] [Accepted: 08/08/2023] [Indexed: 08/11/2023] Open
Abstract
The black rhinoceros (Diceros bicornis L.) is a critically endangered species historically distributed across sub-Saharan Africa. Hunting and habitat disturbance have diminished both its numbers and distribution since the 19th century, but a poaching crisis in the late 20th century drove them to the brink of extinction. Genetic and genomic assessments can greatly increase our knowledge of the species and inform management strategies. However, when a species has been severely reduced, with the extirpation and artificial admixture of several populations, it is extremely challenging to obtain an accurate understanding of historic population structure and evolutionary history from extant samples. Therefore, we generated and analyzed whole genomes from 63 black rhinoceros museum specimens collected between 1775 and 1981. Results showed that the black rhinoceros could be genetically structured into six major historic populations (Central Africa, East Africa, Northwestern Africa, Northeastern Africa, Ruvuma, and Southern Africa) within which were nested four further subpopulations (Maasailand, southwestern, eastern rift, and northern rift), largely mirroring geography, with a punctuated north-south cline. However, we detected varying degrees of admixture among groups and found that several geographical barriers, most prominently the Zambezi River, drove population discontinuities. Genomic diversity was high in the middle of the range and decayed toward the periphery. This comprehensive historic portrait also allowed us to ascertain the ancestry of 20 resequenced genomes from extant populations. Lastly, using insights gained from this unique temporal data set, we suggest management strategies, some of which require urgent implementation, for the conservation of the remaining black rhinoceros diversity.
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Affiliation(s)
| | - Binia De Cahsan
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - Xin Sun
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Ashot Margaryan
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Claudia Fontsere
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas–Universitat Pompeu Fabra), Barcelona Biomedical Research Park, Barcelona, Catalonia, Spain
| | | | | | - Daniela C Kalthoff
- Department of Zoology, Swedish Museum of Natural History, Stockholm, Sweden
| | - Thomas Sicheritz-Pontén
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Bent Petersen
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Love Dalén
- Department of Zoology, Centre for Palaeogenetics, Stockholm University, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Guojie Zhang
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, People's Republic of China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, People's Republic of China
- BGI Research, BGI-Shenzhen, Shenzhen, People's Republic of China
| | - Tomás Marquès-Bonet
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas–Universitat Pompeu Fabra), Barcelona Biomedical Research Park, Barcelona, Catalonia, Spain
- National Centre for Genomic Analysis–Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Life & Medical Sciences, Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
| | - M Thomas P Gilbert
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Natural History, NTNU University Museum, Trondheim, Norway
| | - Yoshan Moodley
- Department of Biological Sciences, University of Venda, Thohoyandou, Republic of South Africa
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31
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Urban L, Perlas A, Francino O, Martí‐Carreras J, Muga BA, Mwangi JW, Boykin Okalebo L, Stanton JL, Black A, Waipara N, Fontsere C, Eccles D, Urel H, Reska T, Morales HE, Palmada‐Flores M, Marques‐Bonet T, Watsa M, Libke Z, Erkenswick G, van Oosterhout C. Real-time genomics for One Health. Mol Syst Biol 2023; 19:e11686. [PMID: 37325891 PMCID: PMC10407731 DOI: 10.15252/msb.202311686] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/17/2023] Open
Abstract
The ongoing degradation of natural systems and other environmental changes has put our society at a crossroad with respect to our future relationship with our planet. While the concept of One Health describes how human health is inextricably linked with environmental health, many of these complex interdependencies are still not well-understood. Here, we describe how the advent of real-time genomic analyses can benefit One Health and how it can enable timely, in-depth ecosystem health assessments. We introduce nanopore sequencing as the only disruptive technology that currently allows for real-time genomic analyses and that is already being used worldwide to improve the accessibility and versatility of genomic sequencing. We showcase real-time genomic studies on zoonotic disease, food security, environmental microbiome, emerging pathogens, and their antimicrobial resistances, and on environmental health itself - from genomic resource creation for wildlife conservation to the monitoring of biodiversity, invasive species, and wildlife trafficking. We stress why equitable access to real-time genomics in the context of One Health will be paramount and discuss related practical, legal, and ethical limitations.
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Affiliation(s)
- Lara Urban
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
- School of Life Sciences, Technical University of MunichFreisingGermany
| | - Albert Perlas
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
| | - Olga Francino
- Nano1Health SL, Parc de Recerca UABCampus Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Joan Martí‐Carreras
- Nano1Health SL, Parc de Recerca UABCampus Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Brenda A Muga
- Department of AnatomyUniversity of OtagoDunedinNew Zealand
| | | | | | | | - Amanda Black
- Bioprotection AotearoaLincoln UniversityLincolnNew Zealand
| | | | - Claudia Fontsere
- Center for Evolutionary HologenomicsThe Globe Institute, University of CopenhagenCopenhagenDenmark
| | - David Eccles
- Hugh Green Cytometry CentreMalaghan Institute of Medical ResearchWellingtonNew Zealand
| | - Harika Urel
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
- School of Life Sciences, Technical University of MunichFreisingGermany
| | - Tim Reska
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
- School of Life Sciences, Technical University of MunichFreisingGermany
| | - Hernán E Morales
- Center for Evolutionary HologenomicsThe Globe Institute, University of CopenhagenCopenhagenDenmark
- Department of Biology, Ecology BuildingLund UniversityLundSweden
| | - Marc Palmada‐Flores
- Institute of Evolutionary BiologyUniversitat Pompeu Fabra‐CSIC, PRBBBarcelonaSpain
| | - Tomas Marques‐Bonet
- Institute of Evolutionary BiologyUniversitat Pompeu Fabra‐CSIC, PRBBBarcelonaSpain
- Catalan Institution of Research and Advanced Studies (ICREA)BarcelonaSpain
- CNAGCentre of Genomic AnalysisBarcelonaSpain
- Institut Català de Paleontologia Miquel CrusafontUniversitat Autònoma de BarcelonaBarcelonaSpain
| | | | - Zane Libke
- Instituto Nacional de BiodiversidadQuitoEcuador
- Fundación Sumak Kawsay In SituCantón MeraEcuador
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32
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Gonçalves-Dias J, Singh A, Graf C, Stetter MG. Genetic Incompatibilities and Evolutionary Rescue by Wild Relatives Shaped Grain Amaranth Domestication. Mol Biol Evol 2023; 40:msad177. [PMID: 37552934 PMCID: PMC10439364 DOI: 10.1093/molbev/msad177] [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: 04/25/2023] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 08/10/2023] Open
Abstract
Crop domestication and the subsequent expansion of crops have long been thought of as a linear process from a wild ancestor to a domesticate. However, evidence of gene flow from locally adapted wild relatives that provided adaptive alleles into crops has been identified in multiple species. Yet, little is known about the evolutionary consequences of gene flow during domestication and the interaction of gene flow and genetic load in crop populations. We study the pseudo-cereal grain amaranth that has been domesticated three times in different geographic regions of the Americas. We quantify the amount and distribution of gene flow and genetic load along the genome of the three grain amaranth species and their two wild relatives. Our results show ample gene flow between crop species and between crops and their wild relatives. Gene flow from wild relatives decreased genetic load in the three crop species. This suggests that wild relatives could provide evolutionary rescue by replacing deleterious alleles in crops. We assess experimental hybrids between the three crop species and found genetic incompatibilities between one Central American grain amaranth and the other two crop species. These incompatibilities might have created recent reproductive barriers and maintained species integrity today. Together, our results show that gene flow played an important role in the domestication and expansion of grain amaranth, despite genetic species barriers. The domestication of plants was likely not linear and created a genomic mosaic by multiple contributors with varying fitness effects for today's crops.
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Affiliation(s)
| | - Akanksha Singh
- Institute for Plant Sciences, University of Cologne, Cologne, Germany
| | - Corbinian Graf
- Institute for Plant Sciences, University of Cologne, Cologne, Germany
| | - Markus G Stetter
- Institute for Plant Sciences, University of Cologne, Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne, Germany
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33
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Sun S, Wang B, Li C, Xu G, Yang J, Hufford MB, Ross-Ibarra J, Wang H, Wang L. Unraveling Prevalence and Effects of Deleterious Mutations in Maize Elite Lines across Decades of Modern Breeding. Mol Biol Evol 2023; 40:msad170. [PMID: 37494285 PMCID: PMC10414807 DOI: 10.1093/molbev/msad170] [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: 12/20/2022] [Revised: 07/12/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023] Open
Abstract
Future breeding is likely to involve the detection and removal of deleterious alleles, which are mutations that negatively affect crop fitness. However, little is known about the prevalence of such mutations and their effects on phenotypic traits in the context of modern crop breeding. To address this, we examined the number and frequency of deleterious mutations in 350 elite maize inbred lines developed over the past few decades in China and the United States. Our findings reveal an accumulation of weakly deleterious mutations and a decrease in strongly deleterious mutations, indicating the dominant effects of genetic drift and purifying selection for the two types of mutations, respectively. We also discovered that slightly deleterious mutations, when at lower frequencies, were more likely to be heterozygous in the developed hybrids. This is consistent with complementation as a potential explanation for heterosis. Subsequently, we found that deleterious mutations accounted for more of the variation in phenotypic traits than nondeleterious mutations with matched minor allele frequencies, especially for traits related to leaf angle and flowering time. Moreover, we detected fewer deleterious mutations in the promoter and gene body regions of differentially expressed genes across breeding eras than in nondifferentially expressed genes. Overall, our results provide a comprehensive assessment of the prevalence and impact of deleterious mutations in modern maize breeding and establish a useful baseline for future maize improvement efforts.
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Affiliation(s)
- Shichao Sun
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Baobao Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Changyu Li
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Gen Xu
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Jinliang Yang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Matthew B Hufford
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Jeffrey Ross-Ibarra
- Department of Evolution and Ecology, University of California, Davis, CA, USA
| | - Haiyang Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Li Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA
- Kunpeng Institute of Modern Agriculture at Foshan, Chinese Academy of Agricultural Sciences, Foshan, China
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34
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Sozzoni M, Ferrer Obiol J, Formenti G, Tigano A, Paris JR, Balacco JR, Jain N, Tilley T, Collins J, Sims Y, Wood J, Benowitz-Fredericks ZM, Field KA, Seyoum E, Gatt MC, Léandri-Breton DJ, Nakajima C, Whelan S, Gianfranceschi L, Hatch SA, Elliott KH, Shoji A, Cecere JG, Jarvis ED, Pilastro A, Rubolini D. A Chromosome-Level Reference Genome for the Black-Legged Kittiwake (Rissa tridactyla), a Declining Circumpolar Seabird. Genome Biol Evol 2023; 15:evad153. [PMID: 37590950 PMCID: PMC10457150 DOI: 10.1093/gbe/evad153] [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: 07/12/2023] [Revised: 08/02/2023] [Accepted: 08/09/2023] [Indexed: 08/19/2023] Open
Abstract
Amidst the current biodiversity crisis, the availability of genomic resources for declining species can provide important insights into the factors driving population decline. In the early 1990s, the black-legged kittiwake (Rissa tridactyla), a pelagic gull widely distributed across the arctic, subarctic, and temperate zones, suffered a steep population decline following an abrupt warming of sea surface temperature across its distribution range and is currently listed as Vulnerable by the International Union for the Conservation of Nature. Kittiwakes have long been the focus for field studies of physiology, ecology, and ecotoxicology and are primary indicators of fluctuating ecological conditions in arctic and subarctic marine ecosystems. We present a high-quality chromosome-level reference genome and annotation for the black-legged kittiwake using a combination of Pacific Biosciences HiFi sequencing, Bionano optical maps, Hi-C reads, and RNA-Seq data. The final assembly spans 1.35 Gb across 32 chromosomes, with a scaffold N50 of 88.21 Mb and a BUSCO completeness of 97.4%. This genome assembly substantially improves the quality of a previous draft genome, showing an approximately 5× increase in contiguity and a more complete annotation. Using this new chromosome-level reference genome and three more chromosome-level assemblies of Charadriiformes, we uncover several lineage-specific chromosome fusions and fissions, but find no shared rearrangements, suggesting that interchromosomal rearrangements have been commonplace throughout the diversification of Charadriiformes. This new high-quality genome assembly will enable population genomic, transcriptomic, and phenotype-genotype association studies in a widely studied sentinel species, which may provide important insights into the impacts of global change on marine systems.
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Affiliation(s)
- Marcella Sozzoni
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Joan Ferrer Obiol
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Anna Tigano
- Department of Biology, Queen’s University, Kingston, Ontario, Canada
- Department of Biology, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Josephine R Paris
- Department of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Jennifer R Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Nivesh Jain
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Tatiana Tilley
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Joanna Collins
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Ying Sims
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Jonathan Wood
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | | | - Kenneth A Field
- Department of Biology, Bucknell University, Lewisburg, Pennsylvania, USA
| | - Eyuel Seyoum
- Department of Biology, Bucknell University, Lewisburg, Pennsylvania, USA
| | - Marie Claire Gatt
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Don-Jean Léandri-Breton
- Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
- Centre d’Études Biologiques de Chizé (CEBC), UMR 7372 - CNRS & Université de La Rochelle, Villiers-en-Bois, France
| | - Chinatsu Nakajima
- Department of Life and Environmental Science, University of Tsukuba, Tsukuba, Japan
| | - Shannon Whelan
- Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
| | | | - Scott A Hatch
- Institute for Seabird Research and Conservation, Anchorage, Alaska, USA
| | - Kyle H Elliott
- Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
| | - Akiko Shoji
- Department of Life and Environmental Science, University of Tsukuba, Tsukuba, Japan
| | | | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | | | - Diego Rubolini
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
- Water Research Institute, IRSA-CNR, Brugherio, Monza and Brianza, Italy
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35
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Olazcuaga L, Lincke B, DeLacey S, Durkee LF, Melbourne BA, Hufbauer RA. Population demographic history and evolutionary rescue: Influence of a bottleneck event. Evol Appl 2023; 16:1483-1495. [PMID: 37622091 PMCID: PMC10445088 DOI: 10.1111/eva.13581] [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: 01/12/2023] [Revised: 07/05/2023] [Accepted: 07/05/2023] [Indexed: 08/26/2023] Open
Abstract
Rapid environmental change presents a significant challenge to the persistence of natural populations. Rapid adaptation that increases population growth, enabling populations that declined following severe environmental change to grow and avoid extinction, is called evolutionary rescue. Numerous studies have shown that evolutionary rescue can indeed prevent extinction. Here, we extend those results by considering the demographic history of populations. To evaluate how demographic history influences evolutionary rescue, we created 80 populations of red flour beetle, Tribolium castaneum, with three classes of demographic history: diverse populations that did not experience a bottleneck, and populations that experienced either an intermediate or a strong bottleneck. We subjected these populations to a new and challenging environment for six discrete generations and tracked extinction and population size. Populations that did not experience a bottleneck in their demographic history avoided extinction entirely, while more than 20% of populations that experienced an intermediate or strong bottleneck went extinct. Similarly, among the extant populations at the end of the experiment, adaptation increased the growth rate in the novel environment the most for populations that had not experienced a bottleneck in their history. Taken together, these results highlight the importance of considering the demographic history of populations to make useful and effective conservation decisions and management strategies for populations experiencing environmental change that pushes them toward extinction.
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Affiliation(s)
- Laure Olazcuaga
- Department of Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
| | - Beatrice Lincke
- Department of Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
| | - Sarah DeLacey
- Department of Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
| | - Lily F. Durkee
- Department of Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
- Graduate Degree Program in EcologyColorado State UniversityFort CollinsColoradoUSA
| | - Brett A. Melbourne
- Department of Ecology & Evolutionary BiologyUniversity of ColoradoBoulderColoradoUSA
| | - Ruth A. Hufbauer
- Department of Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
- Graduate Degree Program in EcologyColorado State UniversityFort CollinsColoradoUSA
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36
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Mathers TC, Wouters RHM, Mugford ST, Biello R, van Oosterhout C, Hogenhout SA. Hybridisation has shaped a recent radiation of grass-feeding aphids. BMC Biol 2023; 21:157. [PMID: 37443008 PMCID: PMC10347838 DOI: 10.1186/s12915-023-01649-4] [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: 12/19/2022] [Accepted: 06/13/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Aphids are common crop pests. These insects reproduce by facultative parthenogenesis involving several rounds of clonal reproduction interspersed with an occasional sexual cycle. Furthermore, clonal aphids give birth to live young that are already pregnant. These qualities enable rapid population growth and have facilitated the colonisation of crops globally. In several cases, so-called "super clones" have come to dominate agricultural systems. However, the extent to which the sexual stage of the aphid life cycle has shaped global pest populations has remained unclear, as have the origins of successful lineages. Here, we used chromosome-scale genome assemblies to disentangle the evolution of two global pests of cereals-the English (Sitobion avenae) and Indian (Sitobion miscanthi) grain aphids. RESULTS Genome-wide divergence between S. avenae and S. miscanthi is low. Moreover, comparison of haplotype-resolved assemblies revealed that the S. miscanthi isolate used for genome sequencing is likely a hybrid, with one of its diploid genome copies closely related to S. avenae (~ 0.5% divergence) and the other substantially more divergent (> 1%). Population genomics analyses of UK and China grain aphids showed that S. avenae and S. miscanthi are part of a cryptic species complex with many highly differentiated lineages that predate the origins of agriculture. The complex consists of hybrid lineages that display a tangled history of hybridisation and genetic introgression. CONCLUSIONS Our analyses reveal that hybridisation has substantially contributed to grain aphid diversity, and hence, to the evolutionary potential of this important pest species. Furthermore, we propose that aphids are particularly well placed to exploit hybridisation events via the rapid propagation of live-born "frozen hybrids" via asexual reproduction, increasing the likelihood of hybrid lineage formation.
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Affiliation(s)
- Thomas C Mathers
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, UK.
- Tree of Life, Welcome Sanger Institute, Hinxton, Cambridge, UK.
| | - Roland H M Wouters
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, UK
| | - Sam T Mugford
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, UK
| | - Roberto Biello
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, UK
| | | | - Saskia A Hogenhout
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, UK.
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37
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Johnson JA, Athrey G, Anderson CM, Bell DA, Dixon A, Kumazawa Y, Maechtle T, Meeks GW, Mindell D, Nakajima K, Novak B, Talbot S, White C, Zhan X. Whole-genome survey reveals extensive variation in genetic diversity and inbreeding levels among peregrine falcon subspecies. Ecol Evol 2023; 13:e10347. [PMID: 37484928 PMCID: PMC10361364 DOI: 10.1002/ece3.10347] [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: 05/14/2023] [Revised: 07/04/2023] [Accepted: 07/10/2023] [Indexed: 07/25/2023] Open
Abstract
In efforts to prevent extinction, resource managers are often tasked with increasing genetic diversity in a population of concern to prevent inbreeding depression or improve adaptive potential in a changing environment. The assumption that all small populations require measures to increase their genetic diversity may be unwarranted, and limited resources for conservation may be better utilized elsewhere. We test this assumption in a case study focused on the peregrine falcon (Falco peregrinus), a cosmopolitan circumpolar species with 19 named subspecies. We used whole-genome resequencing to generate over two million single nucleotide polymorphisms (SNPs) from multiple individuals of all peregrine falcon subspecies. Our analyses revealed extensive variation among subspecies, with many island-restricted and nonmigratory populations possessing lower overall genomic diversity, elevated inbreeding coefficients (F ROH)-among the highest reported, and extensive runs of homozygosity (ROH) compared to mainland and migratory populations. Similarly, the majority of subspecies that are either nonmigratory or restricted to islands show a much longer history of low effective population size (N e). While mutational load analyses indicated an increased proportion of homozygous-derived deleterious variants (i.e., drift load) among nonmigrant and island populations compared to those that are migrant or reside on the mainland, no significant differences in the proportion of heterozygous deleterious variants (i.e., inbreeding load) was observed. Our results provide evidence that high levels of inbreeding may not be an existential threat for some populations or taxa. Additional factors such as the timing and severity of population declines are important to consider in management decisions about extinction potential.
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Affiliation(s)
- Jeff A. Johnson
- Department of Biological SciencesUniversity of North TexasDentonTexasUSA
- Wolf Creek Operating FoundationWolfWyomingUSA
| | - Giridhar Athrey
- Department of Poultry Science & Faculty of Ecology and Evolutionary BiologyTexas A&M UniversityCollege StationTexasUSA
| | | | - Douglas A. Bell
- East Bay Regional Park DistrictOaklandCaliforniaUSA
- California Academy of SciencesSan FranciscoCaliforniaUSA
| | - Andrew Dixon
- The Mohamed Bin Zayed Raptor Conservation FundAbu DhabiUnited Arab Emirates
- International Wildlife ConsultantsCarmarthenUK
| | - Yoshinori Kumazawa
- Research Center for Biological DiversityNagoya City UniversityNagoyaJapan
| | | | - Garrett W. Meeks
- Department of Biological SciencesUniversity of North TexasDentonTexasUSA
| | - David Mindell
- Museum of Vertebrate ZoologyUniversity of California, BerkeleyBerkeleyCaliforniaUSA
| | - Keiya Nakajima
- Research Center for Biological DiversityNagoya City UniversityNagoyaJapan
- The Japan Falconiformes CenterOwariasahiJapan
| | - Ben Novak
- Revive & RestoreSausalitoCaliforniaUSA
| | - Sandra Talbot
- Far Northwestern Institute of Art and ScienceAnchorageAlaskaUSA
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38
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Fitzpatrick SW, Mittan-Moreau C, Miller M, Judson JM. Genetic rescue remains underused for aiding recovery of federally listed vertebrates in the United States. J Hered 2023; 114:354-366. [PMID: 36975379 PMCID: PMC10287150 DOI: 10.1093/jhered/esad002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/13/2023] [Indexed: 03/29/2023] Open
Abstract
Restoring gene flow among fragmented populations is discussed as a potentially powerful management strategy that could reduce inbreeding depression and cause genetic rescue. Yet, examples of assisted migration for genetic rescue remain sparse in conservation, prompting several outspoken calls for its increased use in genetic management of fragmented populations. We set out to evaluate the extent to which this strategy is underused and to determine how many imperiled species would realistically stand to benefit from genetic rescue, focusing on federally threatened or endangered vertebrate species in the United States. We developed a "genetic rescue suitability index (GR index)" based on concerns about small population problems relative to risks associated with outbreeding depression and surveyed the literature for 222 species. We found that two-thirds of these species were good candidates for consideration of assisted migration for the purpose of genetic rescue according to our suitability index. Good candidate species spanned all taxonomic groups and geographic regions, though species with more missing data tended to score lower on the suitability index. While we do not recommend a prescriptive interpretation of our GR index, we used it here to establish that assisted migration for genetic rescue is an underused strategy. For example, we found in total, "genetic rescue" was only mentioned in 11 recovery plans and has only been implemented in 3 of the species we surveyed. A potential way forward for implementation of this strategy is incorporating genetic rescue as a priority in USFWS recovery documentation. In general, our results suggest that although not appropriate for all imperiled species, many more species stand to benefit from a conservation strategy of assisted migration for genetic rescue than those for which it has previously been considered or implemented.
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Affiliation(s)
- Sarah W Fitzpatrick
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI, United States
- Department of Integrative Biology, Michigan State University, East Lansing, MI, United States
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, United States
| | - Cinnamon Mittan-Moreau
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI, United States
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, United States
| | - Madison Miller
- Savannah River Ecology Lab, University of Georgia, Aiken, SC, United States
- Division of Forestry and Natural Resources, West Virginia University, Morgantown, WV, United States
| | - Jessica M Judson
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI, United States
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, United States
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Wang N, Cao S, Liu Z, Xiao H, Hu J, Xu X, Chen P, Ma Z, Ye J, Chai L, Guo W, Larkin RM, Xu Q, Morrell PL, Zhou Y, Deng X. Genomic conservation of crop wild relatives: A case study of citrus. PLoS Genet 2023; 19:e1010811. [PMID: 37339133 DOI: 10.1371/journal.pgen.1010811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/01/2023] [Indexed: 06/22/2023] Open
Abstract
Conservation of crop wild relatives is critical for plant breeding and food security. The lack of clarity on the genetic factors that lead to endangered status or extinction create difficulties when attempting to develop concrete recommendations for conserving a citrus wild relative: the wild relatives of crops. Here, we evaluate the conservation of wild kumquat (Fortunella hindsii) using genomic, geographical, environmental, and phenotypic data, and forward simulations. Genome resequencing data from 73 accessions from the Fortunella genus were combined to investigate population structure, demography, inbreeding, introgression, and genetic load. Population structure was correlated with reproductive type (i.e., sexual and apomictic) and with a significant differentiation within the sexually reproducing population. The effective population size for one of the sexually reproducing subpopulations has recently declined to ~1,000, resulting in high levels of inbreeding. In particular, we found that 58% of the ecological niche overlapped between wild and cultivated populations and that there was extensive introgression into wild samples from cultivated populations. Interestingly, the introgression pattern and accumulation of genetic load may be influenced by the type of reproduction. In wild apomictic samples, the introgressed regions were primarily heterozygous, and genome-wide deleterious variants were hidden in the heterozygous state. In contrast, wild sexually reproducing samples carried a higher recessive deleterious burden. Furthermore, we also found that sexually reproducing samples were self-incompatible, which prevented the reduction of genetic diversity by selfing. Our population genomic analyses provide specific recommendations for distinct reproductive types and monitoring during conservation. This study highlights the genomic landscape of a wild relative of citrus and provides recommendations for the conservation of crop wild relatives.
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Affiliation(s)
- Nan Wang
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Shuo Cao
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhongjie Liu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hua Xiao
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jianbing Hu
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
| | - Xiaodong Xu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Peng Chen
- Institute of Horticultural Research, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Zhiyao Ma
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Junli Ye
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
| | - Lijun Chai
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
| | - Wenwu Guo
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Robert M Larkin
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Qiang Xu
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Peter L Morrell
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, United States of America
| | - Yongfeng Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- State Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Xiuxin Deng
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
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40
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Wang X, Peischl S, Heckel G. Demographic history and genomic consequences of 10,000 generations of isolation in a wild mammal. Curr Biol 2023; 33:2051-2062.e4. [PMID: 37178689 DOI: 10.1016/j.cub.2023.04.042] [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: 09/28/2022] [Revised: 12/20/2022] [Accepted: 04/17/2023] [Indexed: 05/15/2023]
Abstract
Increased human activities caused the isolation of populations in many species-often associated with genetic depletion and negative fitness effects. The effects of isolation are predicted by theory, but long-term data from natural populations are scarce. We show, with full genome sequences, that common voles (Microtus arvalis) in the Orkney archipelago have remained genetically isolated from conspecifics in continental Europe since their introduction by humans over 5,000 years ago. Modern Orkney vole populations are genetically highly differentiated from continental conspecifics as a result of genetic drift processes. Colonization likely started on the biggest Orkney island and vole populations on smaller islands were gradually split off, without signs of secondary admixture. Despite having large modern population sizes, Orkney voles are genetically depauperate and successive introductions to smaller islands resulted in further reduction of genetic diversity. We detected high levels of fixation of predicted deleterious variation compared with continental populations, particularly on smaller islands, yet the fitness effects realized in nature are unknown. Simulations showed that predominantly mildly deleterious mutations were fixed in populations, while highly deleterious mutations were purged early in the history of the Orkney population. Relaxation of selection overall due to benign environmental conditions on the islands and the effects of soft selection may have contributed to the repeated, successful establishment of Orkney voles despite potential fitness loss. Furthermore, the specific life history of these small mammals, resulting in relatively large population sizes, has probably been important for their long-term persistence in full isolation.
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Affiliation(s)
- Xuejing Wang
- Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland
| | - Stephan Peischl
- Interfaculty Bioinformatics Unit, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland; Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland
| | - Gerald Heckel
- Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland; Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland.
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41
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Wu Y, Li D, Hu Y, Li H, Ramstein GP, Zhou S, Zhang X, Bao Z, Zhang Y, Song B, Zhou Y, Zhou Y, Gagnon E, Särkinen T, Knapp S, Zhang C, Städler T, Buckler ES, Huang S. Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding. Cell 2023; 186:2313-2328.e15. [PMID: 37146612 DOI: 10.1016/j.cell.2023.04.008] [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: 08/24/2022] [Revised: 02/20/2023] [Accepted: 04/05/2023] [Indexed: 05/07/2023]
Abstract
Hybrid potato breeding will transform the crop from a clonally propagated tetraploid to a seed-reproducing diploid. Historical accumulation of deleterious mutations in potato genomes has hindered the development of elite inbred lines and hybrids. Utilizing a whole-genome phylogeny of 92 Solanaceae and its sister clade species, we employ an evolutionary strategy to identify deleterious mutations. The deep phylogeny reveals the genome-wide landscape of highly constrained sites, comprising ∼2.4% of the genome. Based on a diploid potato diversity panel, we infer 367,499 deleterious variants, of which 50% occur at non-coding and 15% at synonymous sites. Counterintuitively, diploid lines with relatively high homozygous deleterious burden can be better starting material for inbred-line development, despite showing less vigorous growth. Inclusion of inferred deleterious mutations increases genomic-prediction accuracy for yield by 24.7%. Our study generates insights into the genome-wide incidence and properties of deleterious mutations and their far-reaching consequences for breeding.
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Affiliation(s)
- Yaoyao Wu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA
| | - Dawei Li
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China
| | - Yong Hu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; The AGISCAAS-YNNU Joint Academy of Potato Sciences, Yunnan Normal University, Kunming, Yunnan 650500, China
| | - Hongbo Li
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Guillaume P Ramstein
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus 8000, Denmark
| | - Shaoqun Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Xinyan Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Zhigui Bao
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Department of Molecular Biology, Max Planck Institute for Biology Tübingen, 72076 Tübingen, Germany
| | - Yu Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; School of Agriculture, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Baoxing Song
- Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong 261000, China
| | - Yao Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100094, China
| | - Yongfeng Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Edeline Gagnon
- Technische Universität München, TUM School of Life Sciences, Emil-Ramann-Strasse 2, 85354 Freising, Germany
| | - Tiina Särkinen
- Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh EH3 5LR, UK
| | - Sandra Knapp
- Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Chunzhi Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Thomas Städler
- Institute of Integrative Biology and Zurich-Basel Plant Science Center, ETH Zurich, 8092 Zurich, Switzerland
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA; USDA-ARS, Ithaca, NY 14853, USA
| | - Sanwen Huang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China.
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Wilder AP, Supple MA, Subramanian A, Mudide A, Swofford R, Serres-Armero A, Steiner C, Koepfli KP, Genereux DP, Karlsson EK, Lindblad-Toh K, Marques-Bonet T, Munoz Fuentes V, Foley K, Meyer WK, Ryder OA, Shapiro B, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X. The contribution of historical processes to contemporary extinction risk in placental mammals. Science 2023; 380:eabn5856. [PMID: 37104572 PMCID: PMC10184782 DOI: 10.1126/science.abn5856] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Species persistence can be influenced by the amount, type, and distribution of diversity across the genome, suggesting a potential relationship between historical demography and resilience. In this study, we surveyed genetic variation across single genomes of 240 mammals that compose the Zoonomia alignment to evaluate how historical effective population size (Ne) affects heterozygosity and deleterious genetic load and how these factors may contribute to extinction risk. We find that species with smaller historical Ne carry a proportionally larger burden of deleterious alleles owing to long-term accumulation and fixation of genetic load and have a higher risk of extinction. This suggests that historical demography can inform contemporary resilience. Models that included genomic data were predictive of species' conservation status, suggesting that, in the absence of adequate census or ecological data, genomic information may provide an initial risk assessment.
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Affiliation(s)
- Aryn P Wilder
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, USA
| | - Megan A Supple
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, CA 95064, USA
| | | | | | - Ross Swofford
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Aitor Serres-Armero
- Institute of Evolutionary Biology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Cynthia Steiner
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, USA
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA 22630, USA
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC 30008, USA
- Computer Technologies Laboratory, ITMO University, St. Petersburg 197101, Russia
| | | | - Elinor K Karlsson
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Kerstin Lindblad-Toh
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 751 32, Sweden
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain
- Catalan Institution of Research and Advanced Studies, Barcelona 08010, Spain
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona 08028, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Violeta Munoz Fuentes
- European Molecular Biology Laboratory-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Kathleen Foley
- College of Law, University of Iowa, Iowa City, IA 52242, USA
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Wynn K Meyer
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Oliver A Ryder
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, USA
- Department of Evolution, Behavior and Ecology, Division of Biology, University of California, San Diego, La Jolla, CA 92039, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, CA 95064, USA
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Kuang W, Zinner D, Li Y, Yao X, Roos C, Yu L. Recent Advances in Genetics and Genomics of Snub-Nosed Monkeys ( Rhinopithecus) and Their Implications for Phylogeny, Conservation, and Adaptation. Genes (Basel) 2023; 14:genes14050985. [PMID: 37239345 DOI: 10.3390/genes14050985] [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: 03/19/2023] [Revised: 04/25/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023] Open
Abstract
The snub-nosed monkey genus Rhinopithecus (Colobinae) comprises five species (Rhinopithecus roxellana, Rhinopithecus brelichi, Rhinopithecus bieti, Rhinopithecus strykeri, and Rhinopithecus avunculus). They are range-restricted species occurring only in small areas in China, Vietnam, and Myanmar. All extant species are listed as endangered or critically endangered by the International Union for Conservation of Nature (IUCN) Red List, all with decreasing populations. With the development of molecular genetics and the improvement and cost reduction in whole-genome sequencing, knowledge about evolutionary processes has improved largely in recent years. Here, we review recent major advances in snub-nosed monkey genetics and genomics and their impact on our understanding of the phylogeny, phylogeography, population genetic structure, landscape genetics, demographic history, and molecular mechanisms of adaptation to folivory and high altitudes in this primate genus. We further discuss future directions in this research field, in particular how genomic information can contribute to the conservation of snub-nosed monkeys.
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Affiliation(s)
- Weimin Kuang
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-University of Göttingen, 37077 Göttingen, Germany
- Leibniz-Science Campus Primate Cognition, 37077 Göttingen, Germany
| | - Yuan Li
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
| | - Xueqin Yao
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
| | - Christian Roos
- Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
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Theissinger K, Fernandes C, Formenti G, Bista I, Berg PR, Bleidorn C, Bombarely A, Crottini A, Gallo GR, Godoy JA, Jentoft S, Malukiewicz J, Mouton A, Oomen RA, Paez S, Palsbøll PJ, Pampoulie C, Ruiz-López MJ, Secomandi S, Svardal H, Theofanopoulou C, de Vries J, Waldvogel AM, Zhang G, Jarvis ED, Bálint M, Ciofi C, Waterhouse RM, Mazzoni CJ, Höglund J. How genomics can help biodiversity conservation. Trends Genet 2023:S0168-9525(23)00020-3. [PMID: 36801111 DOI: 10.1016/j.tig.2023.01.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/08/2022] [Accepted: 01/19/2023] [Indexed: 02/18/2023]
Abstract
The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main approaches and applications in biodiversity and conservation genomics, considering practical factors, such as cost, time, prerequisite skills, and current shortcomings of applications. Most approaches perform best in combination with reference genomes from the target species or closely related species. We review case studies to illustrate how reference genomes can facilitate biodiversity research and conservation across the tree of life. We conclude that the time is ripe to view reference genomes as fundamental resources and to integrate their use as a best practice in conservation genomics.
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Affiliation(s)
- Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Carlos Fernandes
- CE3C - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013 Lisboa, Portugal
| | - Giulio Formenti
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Iliana Bista
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, The Netherlands; Wellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Paul R Berg
- NIVA - Norwegian Institute for Water Research, Økernveien, 94, 0579 Oslo, Norway; Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Christoph Bleidorn
- University of Göttingen, Department of Animal Evolution and Biodiversity, Untere Karspüle, 2, 37073, Göttingen, Germany
| | | | - Angelica Crottini
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Rua Padre Armando Quintas, 7, 4485-661, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | - José A Godoy
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Joanna Malukiewicz
- Primate Genetics Laborator, German Primate Center, Kellnerweg 4, 37077, Göttingen, Germany
| | - Alice Mouton
- InBios - Conservation Genetics Lab, University of Liege, Chemin de la Vallée 4, 4000, Liege, Belgium
| | - Rebekah A Oomen
- Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Sadye Paez
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Per J Palsbøll
- Groningen Institute of Evolutionary Life Sciences, University of Groningen, Nijenborgh, 9747, AG, Groningen, The Netherlands; Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA 02657, USA
| | - Christophe Pampoulie
- Marine and Freshwater Research Institute, Fornubúðir, 5,220, Hanafjörður, Iceland
| | - María J Ruiz-López
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Hannes Svardal
- Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Antwerp, Belgium
| | - Constantina Theofanopoulou
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA; Hunter College, City University of New York, NY, USA
| | - Jan de Vries
- University of Goettingen, Institute for Microbiology and Genetics, Department of Applied Bioinformatics, Goettingen Center for Molecular Biosciences (GZMB), Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077, Goettingen, Germany
| | - Ann-Marie Waldvogel
- Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, D-50674, Cologne, Germany
| | - Guojie Zhang
- Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China; Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Erich D Jarvis
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Claudio Ciofi
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino, (FI) 50019, Italy
| | - Robert M Waterhouse
- University of Lausanne, Department of Ecology and Evolution, Le Biophore, UNIL-Sorge, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Camila J Mazzoni
- Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Str 17, 10315 Berlin, Germany; Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Koenigin-Luise-Str 6-8, 14195 Berlin, Germany
| | - Jacob Höglund
- Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75246, Uppsala, Sweden.
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Robinson J, Kyriazis CC, Yuan SC, Lohmueller KE. Deleterious Variation in Natural Populations and Implications for Conservation Genetics. Annu Rev Anim Biosci 2023; 11:93-114. [PMID: 36332644 PMCID: PMC9933137 DOI: 10.1146/annurev-animal-080522-093311] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Deleterious mutations decrease reproductive fitness and are ubiquitous in genomes. Given that many organisms face ongoing threats of extinction, there is interest in elucidating the impact of deleterious variation on extinction risk and optimizing management strategies accounting for such mutations. Quantifying deleterious variation and understanding the effects of population history on deleterious variation are complex endeavors because we do not know the strength of selection acting on each mutation. Further, the effect of demographic history on deleterious mutations depends on the strength of selection against the mutation and the degree of dominance. Here we clarify how deleterious variation can be quantified and studied in natural populations. We then discuss how different demographic factors, such as small population size, nonequilibrium population size changes, inbreeding, and gene flow, affect deleterious variation. Lastly, we provide guidance on studying deleterious variation in nonmodel populations of conservation concern.
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Affiliation(s)
- Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, California, USA;
| | - Christopher C Kyriazis
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; , ,
| | - Stella C Yuan
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; , ,
| | - Kirk E Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; , , .,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA
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Schmidt C, Hoban S, Hunter M, Paz-Vinas I, Garroway CJ. Genetic diversity and IUCN Red List status. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023:e14064. [PMID: 36751982 DOI: 10.1111/cobi.14064] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 01/11/2023] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
The International Union for Conservation of Nature (IUCN) Red List is an important and widely used tool for conservation assessment. The IUCN uses information about a species' range, population size, habitat quality and fragmentation levels, and trends in abundance to assess extinction risk. Genetic diversity is not considered, although it affects extinction risk. Declining populations are more strongly affected by genetic drift and higher rates of inbreeding, which can reduce the efficiency of selection, lead to fitness declines, and hinder species' capacities to adapt to environmental change. Given the importance of conserving genetic diversity, attempts have been made to find relationships between red-list status and genetic diversity. Yet, there is still no consensus on whether genetic diversity is captured by the current IUCN Red List categories in a way that is informative for conservation. To assess the predictive power of correlations between genetic diversity and IUCN Red List status in vertebrates, we synthesized previous work and reanalyzed data sets based on 3 types of genetic data: mitochondrial DNA, microsatellites, and whole genomes. Consistent with previous work, species with higher extinction risk status tended to have lower genetic diversity for all marker types, but these relationships were weak and varied across taxa. Regardless of marker type, genetic diversity did not accurately identify threatened species for any taxonomic group. Our results indicate that red-list status is not a useful metric for informing species-specific decisions about the protection of genetic diversity and that genetic data cannot be used to identify threat status in the absence of demographic data. Thus, there is a need to develop and assess metrics specifically designed to assess genetic diversity and inform conservation policy, including policies recently adopted by the UN's Convention on Biological Diversity Kunming-Montreal Global Biodiversity Framework.
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Affiliation(s)
- Chloé Schmidt
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA
- Center for Biodiversity and Global Change, Yale University, New Haven, Connecticut, USA
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Sean Hoban
- The Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
| | - Margaret Hunter
- Wetland and Aquatic Research Center, U.S. Geological Survey, Gainesville, Florida, USA
| | - Ivan Paz-Vinas
- Laboratoire Evolution et Diversité Biologique (EDB), UMR5174, Université Toulouse 3 Paul Sabatier, CNRS, IRD, Toulouse, France
| | - Colin J Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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Kyriazis CC, Beichman AC, Brzeski KE, Hoy SR, Peterson RO, Vucetich JA, Vucetich LM, Lohmueller KE, Wayne RK. Genomic Underpinnings of Population Persistence in Isle Royale Moose. Mol Biol Evol 2023; 40:7024794. [PMID: 36729989 PMCID: PMC9927576 DOI: 10.1093/molbev/msad021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 01/20/2023] [Accepted: 01/25/2023] [Indexed: 02/03/2023] Open
Abstract
Island ecosystems provide natural laboratories to assess the impacts of isolation on population persistence. However, most studies of persistence have focused on a single species, without comparisons to other organisms they interact with in the ecosystem. The case study of moose and gray wolves on Isle Royale allows for a direct contrast of genetic variation in isolated populations that have experienced dramatically differing population trajectories over the past decade. Whereas the Isle Royale wolf population recently declined nearly to extinction due to severe inbreeding depression, the moose population has thrived and continues to persist, despite having low genetic diversity and being isolated for ∼120 years. Here, we examine the patterns of genomic variation underlying the continued persistence of the Isle Royale moose population. We document high levels of inbreeding in the population, roughly as high as the wolf population at the time of its decline. However, inbreeding in the moose population manifests in the form of intermediate-length runs of homozygosity suggestive of historical inbreeding and purging, contrasting with the long runs of homozygosity observed in the smaller wolf population. Using simulations, we confirm that substantial purging has likely occurred in the moose population. However, we also document notable increases in genetic load, which could eventually threaten population viability over the long term. Overall, our results demonstrate a complex relationship between inbreeding, genetic diversity, and population viability that highlights the use of genomic datasets and computational simulation tools for understanding the factors enabling persistence in isolated populations.
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Affiliation(s)
| | | | - Kristin E Brzeski
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI
| | - Sarah R Hoy
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI
| | - Rolf O Peterson
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI
| | - John A Vucetich
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI
| | - Leah M Vucetich
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI
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Frankham R. Effects of genomic homozygosity on total fitness in an invertebrate: lethal equivalent estimates for Drosophila melanogaster. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01493-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Ge D, Wen Z, Feijó A, Lissovsky A, Zhang W, Cheng J, Yan C, She H, Zhang D, Cheng Y, Lu L, Wu X, Mu D, Zhang Y, Xia L, Qu Y, Vogler AP, Yang Q. Genomic Consequences of and Demographic Response to Pervasive Hybridization Over Time in Climate-Sensitive Pikas. Mol Biol Evol 2022; 40:6958644. [PMID: 36562771 PMCID: PMC9847633 DOI: 10.1093/molbev/msac274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/13/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Rare and geographically restricted species may be vulnerable to genetic effects from inbreeding depression in small populations or from genetic swamping through hybridization with common species, but a third possibility is that selective gene flow can restore fitness (genetic rescue). Climate-sensitive pikas (Ochotona spp.) of the Qinghai-Tibetan Plateau (QHTP) and its vicinity have been reduced to residual populations through the movement of climatic zones during the Pleistocene and recent anthropogenic disturbance, whereas the plateau pika (O. curzoniae) remains common. Population-level whole-genome sequencing (n = 142) of six closely related species in the subgenus Ochotona revealed several phases of ancient introgression, lineage replacement, and bidirectional introgression. The strength of gene flow was the greatest from the dominant O. curzoniae to ecologically distinct species in areas peripheral to the QHTP. Genetic analyses were consistent with environmental reconstructions of past population movements. Recurrent periods of introgression throughout the Pleistocene revealed an increase in genetic variation at first but subsequent loss of genetic variation in later phases. Enhanced dispersion of introgressed genomic regions apparently contributed to demographic recovery in three peripheral species that underwent range shifts following climate oscillations on the QHTP, although it failed to drive recovery of northeastern O. dauurica and geographically isolated O. sikimaria. Our findings highlight differences in timescale and environmental background to determine the consequence of hybridization and the unique role of the QHTP in conserving key evolutionary processes of sky island species.
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Affiliation(s)
| | | | | | | | | | - Jilong Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chaochao Yan
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Huishang She
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yalin Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Liang Lu
- State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xinlai Wu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China
| | - Danping Mu
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China
| | - Yubo Zhang
- State Key Laboratory for Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences at College of Life Sciences, Peking University, Beijing, 100871, China
| | - Lin Xia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
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Tao T, Liu J, Wang B, Pang J, Li X, Huang L. Novel mutations in BBS genes and clinical characterization of Chinese families with Bardet-Biedl syndrome. Eur J Ophthalmol 2022; 33:11206721221136324. [PMID: 36325687 DOI: 10.1177/11206721221136324] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
PURPOSE Bardet-Biedl syndrome (BBS) is a rare autosomal-recessive inherited disorder characterized by multisystem anomalies. The objective of this study was to detect and analyse pathogenic variants in four Chinese families with BBS. METHODS Comprehensive clinical examinations were performed to investigate and evaluate the phenotypes of the affected individuals from four families. Genomic DNA was extracted from peripheral blood. Next-generation sequencing (NGS) was performed for four families, and the presence of pathogenic variants was confirmed via Sanger sequencing. RESULTS There were two males and three females with a mean age of 16.00 years. All probands displayed the primary clinical features of BBS. Mutation screening demonstrated four novel mutations: c.613C>T; p.Q205* in the BBS5 gene, c.1391C>G; p.S464* in the BBS10 gene, and c.155delC; p.S52* and c.1584T>G; p.Y528* in the BBS12 gene. Two previously reported mutations were also identified, including c.534 + 1G>T in the BBS2 gene and c.539G>A; p.G180E in the BBS10 gene. The bioinformatic analysis revealed that all the detected mutations in BBS genes were disease causing. CONCLUSIONS This study identified four novel BBS gene mutations in these Chinese families and further expanded the genotypic spectrum of BBS, thus contributing to the literature and understanding of this multisystem disease.
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Affiliation(s)
- Tianchang Tao
- Department of Ophthalmology, 71185Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing, China
- Department of Ophthalmology, Peking University People's Hospital, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
- College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jia Liu
- Department of Ophthalmology, 71185Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing, China
- Department of Ophthalmology, Peking University People's Hospital, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
- College of Optometry, Peking University Health Science Center, Beijing, China
| | - Bin Wang
- Eye Research Institute, 599608Xiamen Eye Center of Xiamen University, Xiamen, China
| | - Jijing Pang
- Eye Research Institute, 599608Xiamen Eye Center of Xiamen University, Xiamen, China
| | - Xiaoxin Li
- Department of Ophthalmology, 71185Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing, China
- Department of Ophthalmology, Peking University People's Hospital, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
- College of Optometry, Peking University Health Science Center, Beijing, China
- Eye Research Institute, 599608Xiamen Eye Center of Xiamen University, Xiamen, China
| | - Lvzhen Huang
- Department of Ophthalmology, 71185Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing, China
- Department of Ophthalmology, Peking University People's Hospital, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
- College of Optometry, Peking University Health Science Center, Beijing, China
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