1
|
Cars BS, Kessler C, Hoffman EA, Côté SD, Koelsch D, Shafer ABA. Island demographics and trait associations in white-tailed deer. Heredity (Edinb) 2024; 133:1-10. [PMID: 38802598 PMCID: PMC11222433 DOI: 10.1038/s41437-024-00685-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/29/2024] Open
Abstract
When a population is isolated and composed of few individuals, genetic drift is the paramount evolutionary force and results in the loss of genetic diversity. Inbreeding might also occur, resulting in genomic regions that are identical by descent, manifesting as runs of homozygosity (ROHs) and the expression of recessive traits. Likewise, the genes underlying traits of interest can be revealed by comparing fixed SNPs and divergent haplotypes between affected and unaffected individuals. Populations of white-tailed deer (Odocoileus virginianus) on islands of Saint Pierre and Miquelon (SPM, France) have high incidences of leucism and malocclusions, both considered genetic defects; on the Florida Keys islands (USA) deer exhibit smaller body sizes, a polygenic trait. Here we aimed to reconstruct island demography and identify the genes associated with these traits in a pseudo case-control design. The two island populations showed reduced levels of genomic diversity and a build-up of deleterious mutations compared to mainland deer; there was also significant genome-wide divergence in Key deer. Key deer showed higher inbreeding levels, but not longer ROHs, consistent with long-term isolation. We identified multiple trait-related genes in ROHs including LAMTOR2 which has links to pigmentation changes, and NPVF which is linked to craniofacial abnormalities. Our mixed approach of linking ROHs, fixed SNPs and haplotypes matched a high number (~50) of a-priori body size candidate genes in Key deer. This suite of biomarkers and candidate genes should prove useful for population monitoring, noting all three phenotypes show patterns consistent with a complex trait and non-Mendelian inheritance.
Collapse
Affiliation(s)
- Brooklyn S Cars
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
- Department of Forensics, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
| | - Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
| | - Eric A Hoffman
- Department of Biology, University of Central Florida, 4000, Central Florida Blvd, Orlando, FL, USA
| | - Steeve D Côté
- Département de Biologie and Centre d'Études Nordiques, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Daniel Koelsch
- Fédération des chasseurs de Saint-Pierre et Miquelon, Saint-Pierre et Miquelon, France
- Direction des Territoires de l'Alimentation et de la Mer, service Biodiversité, Saint-Pierre et Miquelon, France
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
- Department of Forensics, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
| |
Collapse
|
2
|
Roberts M, Josephs EB. Previously unmeasured genetic diversity explains part of Lewontin's paradox in a k-mer-based meta-analysis of 112 plant species. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.17.594778. [PMID: 38798362 PMCID: PMC11118579 DOI: 10.1101/2024.05.17.594778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
At the molecular level, most evolution is expected to be neutral. A key prediction of this expectation is that the level of genetic diversity in a population should scale with population size. However, as was noted by Richard Lewontin in 1974 and reaffirmed by later studies, the slope of the population size-diversity relationship in nature is much weaker than expected under neutral theory. We hypothesize that one contributor to this paradox is that current methods relying on single nucleotide polymorphisms (SNPs) called from aligning short reads to a reference genome underestimate levels of genetic diversity in many species. To test this idea, we calculated nucleotide diversity ( π ) and k-mer-based metrics of genetic diversity across 112 plant species, amounting to over 205 terabases of DNA sequencing data from 27,488 individual plants. We then compared how these different metrics correlated with proxies of population size that account for both range size and population density variation across species. We found that our population size proxies scaled anywhere from about 3 to over 20 times faster with k-mer diversity than nucleotide diversity after adjusting for evolutionary history, mating system, life cycle habit, cultivation status, and invasiveness. The relationship between k-mer diversity and population size proxies also remains significant after correcting for genome size, whereas the analogous relationship for nucleotide diversity does not. These results suggest that variation not captured by common SNP-based analyses explains part of Lewontin's paradox in plants.
Collapse
|
3
|
Kessler C, Shafer ABA. Genomic Analyses Capture the Human-Induced Demographic Collapse and Recovery in a Wide-Ranging Cervid. Mol Biol Evol 2024; 41:msae038. [PMID: 38378172 PMCID: PMC10917209 DOI: 10.1093/molbev/msae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
The glacial cycles of the Quaternary heavily impacted species through successions of population contractions and expansions. Similarly, populations have been intensely shaped by human pressures such as unregulated hunting and land use changes. White-tailed and mule deer survived in different refugia through the Last Glacial Maximum, and their populations were severely reduced after the European colonization. Here, we analyzed 73 resequenced deer genomes from across their North American range to understand the consequences of climatic and anthropogenic pressures on deer demographic and adaptive history. We found strong signals of climate-induced vicariance and demographic decline; notably, multiple sequentially Markovian coalescent recovers a severe decline in mainland white-tailed deer effective population size (Ne) at the end of the Last Glacial Maximum. We found robust evidence for colonial overharvest in the form of a recent and dramatic drop in Ne in all analyzed populations. Historical census size and restocking data show a clear parallel to historical Ne estimates, and temporal Ne/Nc ratio shows patterns of conservation concern for mule deer. Signatures of selection highlight genes related to temperature, including a cold receptor previously highlighted in woolly mammoth. We also detected immune genes that we surmise reflect the changing land use patterns in North America. Our study provides a detailed picture of anthropogenic and climatic-induced decline in deer diversity and clues to understanding the conservation concerns of mule deer and the successful demographic recovery of white-tailed deer.
Collapse
Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada
| |
Collapse
|
4
|
Schmidt C, Hoban S, Jetz W. Conservation macrogenetics: harnessing genetic data to meet conservation commitments. Trends Genet 2023; 39:816-829. [PMID: 37648576 DOI: 10.1016/j.tig.2023.08.002] [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: 05/05/2023] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 09/01/2023]
Abstract
Genetic biodiversity is rapidly gaining attention in global conservation policy. However, for almost all species, conservation relevant, population-level genetic data are lacking, limiting the extent to which genetic diversity can be used for conservation policy and decision-making. Macrogenetics is an emerging discipline that explores the patterns and processes underlying population genetic composition at broad taxonomic and spatial scales by aggregating and reanalyzing thousands of published genetic datasets. Here we argue that focusing macrogenetic tools on conservation needs, or conservation macrogenetics, will enhance decision-making for conservation practice and fill key data gaps for global policy. Conservation macrogenetics provides an empirical basis for better understanding the complexity and resilience of biological systems and, thus, how anthropogenic drivers and policy decisions affect biodiversity.
Collapse
Affiliation(s)
- Chloé Schmidt
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
| | - Sean Hoban
- The Center for Tree Science, The Morton Arboretum, Lisle, IL, USA
| | - Walter Jetz
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA
| |
Collapse
|
5
|
Martchenko D, Shafer ABA. Contrasting whole-genome and reduced representation sequencing for population demographic and adaptive inference: an alpine mammal case study. Heredity (Edinb) 2023; 131:273-281. [PMID: 37532838 PMCID: PMC10539292 DOI: 10.1038/s41437-023-00643-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 07/22/2023] [Accepted: 07/22/2023] [Indexed: 08/04/2023] Open
Abstract
Genomes capture the adaptive and demographic history of a species, but the choice of sequencing strategy and sample size can impact such inferences. We compared whole genome and reduced representation sequencing approaches to study the population demographic and adaptive signals of the North American mountain goat (Oreamnos americanus). We applied the restriction site-associated DNA sequencing (RADseq) approach to 254 individuals and whole genome resequencing (WGS) approach to 35 individuals across the species range at mid-level coverage (9X) and to 5 individuals at high coverage (30X). We used ANGSD to estimate the genotype likelihoods and estimated the effective population size (Ne), population structure, and explicitly modelled the demographic history with δaδi and MSMC2. The data sets were overall concordant in supporting a glacial induced vicariance and extremely low Ne in mountain goats. We evaluated a set of climatic variables and geographic location as predictors of genetic diversity using redundancy analysis. A moderate proportion of total variance (36% for WGS and 21% for RADseq data sets) was explained by geography and climate variables; both data sets support a large impact of drift and some degree of local adaptation. The empirical similarities of WGS and RADseq presented herein reassuringly suggest that both approaches will recover large demographic and adaptive signals in a population; however, WGS offers several advantages over RADseq, such as inferring adaptive processes and calculating runs-of-homozygosity estimates. Considering the predicted climate-induced changes in alpine environments and the genetically depauperate mountain goat, the long-term adaptive capabilities of this enigmatic species are questionable.
Collapse
Affiliation(s)
- Daria Martchenko
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
- Department of Forensics & Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
| |
Collapse
|
6
|
Bender AN, Krause DJ, Goebel ME, Hoffman JI, Lewallen EA, Bonin CA. Genetic diversity and demographic history of the leopard seal: A Southern Ocean top predator. PLoS One 2023; 18:e0284640. [PMID: 37566609 PMCID: PMC10420386 DOI: 10.1371/journal.pone.0284640] [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: 04/03/2023] [Accepted: 06/14/2023] [Indexed: 08/13/2023] Open
Abstract
Leopard seals (Hydrurga leptonyx) are top predators that can exert substantial top-down control of their Antarctic prey species. However, population trends and genetic diversity of leopard seals remain understudied, limiting our understanding of their ecological role. We investigated the genetic diversity, effective population size and demographic history of leopard seals to provide fundamental data that contextualizes their predatory influence on Antarctic ecosystems. Ninety leopard seals were sampled from the northern Antarctic Peninsula during the austral summers of 2008-2019 and a 405bp segment of the mitochondrial control region was sequenced for each individual. We uncovered moderate levels of nucleotide (π = 0.013) and haplotype (Hd = 0.96) diversity, and the effective population size was estimated at around 24,000 individuals (NE = 24,376; 95% CI: 16,876-33,126). Consistent with findings from other ice-breeding pinnipeds, Bayesian skyline analysis also revealed evidence for population expansion during the last glacial maximum, suggesting that historical population growth may have been boosted by an increase in the abundance of sea ice. Although leopard seals can be found in warmer, sub-Antarctic locations, the species' core habitat is centered on the Antarctic, making it inherently vulnerable to the loss of sea ice habitat due to climate change. Therefore, detailed assessments of past and present leopard seal population trends are needed to inform policies for Antarctic ecosystems.
Collapse
Affiliation(s)
- Arona N. Bender
- Marine and Environmental Sciences Department, Hampton University, Hampton, VA, United States of America
| | - Douglas J. Krause
- Antarctic Ecosystem Research Division, Southwest Fisheries Science Center, NOAA Fisheries, La Jolla, CA, United States of America
| | - Michael E. Goebel
- Ecology and Evolutionary Biology Department, University of California, Santa Cruz, Santa Cruz, CA, United States of America
| | - Joseph I. Hoffman
- Department of Animal Behaviour, University of Bielefeld, Bielefeld, Germany
- British Antarctic Survey, Cambridge, United Kingdom
| | - Eric A. Lewallen
- Department of Biological Sciences, Hampton University, Hampton, VA, United States of America
| | - Carolina A. Bonin
- Marine and Environmental Sciences Department, Hampton University, Hampton, VA, United States of America
- Department of Biological Sciences, Hampton University, Hampton, VA, United States of America
| |
Collapse
|
7
|
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.
Collapse
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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Germain RR, Feng S, Chen G, Graves GR, Tobias JA, Rahbek C, Lei F, Fjeldså J, Hosner PA, Gilbert MTP, Zhang G, Nogués-Bravo D. Species-specific traits mediate avian demographic responses under past climate change. Nat Ecol Evol 2023:10.1038/s41559-023-02055-3. [PMID: 37106156 DOI: 10.1038/s41559-023-02055-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
Anticipating species' responses to environmental change is a pressing mission in biodiversity conservation. Despite decades of research investigating how climate change may affect population sizes, historical context is lacking, and the traits that mediate demographic sensitivity to changing climate remain elusive. We use whole-genome sequence data to reconstruct the demographic histories of 263 bird species over the past million years and identify networks of interacting morphological and life history traits associated with changes in effective population size (Ne) in response to climate warming and cooling. Our results identify direct and indirect effects of key traits representing dispersal, reproduction and survival on long-term demographic responses to climate change, thereby highlighting traits most likely to influence population responses to ongoing climate warming.
Collapse
Affiliation(s)
- Ryan R Germain
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Shaohong Feng
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Department of General Surgery of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China
| | - Guangji Chen
- BGI Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Gary R Graves
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Ascot, UK
| | - Carsten Rahbek
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Life Sciences, Imperial College London, Ascot, UK
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jon Fjeldså
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Peter A Hosner
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Natural History, University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Guojie Zhang
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- Center for Evolutionary and 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, Hangzhou, China.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
| | - David Nogués-Bravo
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
9
|
Yakupova A, Tomarovsky A, Totikov A, Beklemisheva V, Logacheva M, Perelman PL, Komissarov A, Dobrynin P, Krasheninnikova K, Tamazian G, Serdyukova NA, Rayko M, Bulyonkova T, Cherkasov N, Pylev V, Peterfeld V, Penin A, Balanovska E, Lapidus A, OBrien SJ, Graphodatsky A, Koepfli KP, Kliver S. Chromosome-Length Assembly of the Baikal Seal (Pusa sibirica) Genome Reveals a Historically Large Population Prior to Isolation in Lake Baikal. Genes (Basel) 2023; 14:genes14030619. [PMID: 36980891 PMCID: PMC10048373 DOI: 10.3390/genes14030619] [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: 12/21/2022] [Revised: 01/31/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
Pusa sibirica, the Baikal seal, is the only extant, exclusively freshwater, pinniped species. The pending issue is, how and when they reached their current habitat—the rift lake Baikal, more than three thousand kilometers away from the Arctic Ocean. To explore the demographic history and genetic diversity of this species, we generated a de novo chromosome-length assembly, and compared it with three closely related marine pinniped species. Multiple whole genome alignment of the four species compared with their karyotypes showed high conservation of chromosomal features, except for three large inversions on chromosome VI. We found the mean heterozygosity of the studied Baikal seal individuals was relatively low (0.61 SNPs/kbp), but comparable to other analyzed pinniped samples. Demographic reconstruction of seals revealed differing trajectories, yet remarkable variations in Ne occurred during approximately the same time periods. The Baikal seal showed a significantly more severe decline relative to other species. This could be due to the difference in environmental conditions encountered by the earlier populations of Baikal seals, as ice sheets changed during glacial–interglacial cycles. We connect this period to the time of migration to Lake Baikal, which occurred ~3–0.3 Mya, after which the population stabilized, indicating balanced habitat conditions.
Collapse
Affiliation(s)
- Aliya Yakupova
- Computer Technologies Laboratory, ITMO University, 19701 Saint Petersburg, Russia
- Correspondence: (A.Y.); (A.G.)
| | - Andrey Tomarovsky
- Computer Technologies Laboratory, ITMO University, 19701 Saint Petersburg, Russia
- Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, 630090 Novosibirsk, Russia
| | - Azamat Totikov
- Computer Technologies Laboratory, ITMO University, 19701 Saint Petersburg, Russia
- Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, 630090 Novosibirsk, Russia
| | - Violetta Beklemisheva
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, 630090 Novosibirsk, Russia
| | - Maria Logacheva
- Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
| | - Polina L. Perelman
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, 630090 Novosibirsk, Russia
| | - Aleksey Komissarov
- Applied Genomics Laboratory, SCAMT Institute, ITMO University, 9 Ulitsa Lomonosova, 191002 Saint Petersburg, Russia
| | - Pavel Dobrynin
- Computer Technologies Laboratory, ITMO University, 19701 Saint Petersburg, Russia
- Human Genetics Laboratory, Vavilov Institute of General Genetics RAS, 119991 Moscow, Russia
| | | | - Gaik Tamazian
- Centre for Computational Biology, Peter the Great Saint Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Natalia A. Serdyukova
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, 630090 Novosibirsk, Russia
| | - Mike Rayko
- Center for Bioinformatics and Algorithmic Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Tatiana Bulyonkova
- Laboratory of Mixed Computations, A.P. Ershov Institute of Informatics Systems SB RAS, 630090 Novosibirsk, Russia
| | - Nikolay Cherkasov
- Centre for Computational Biology, Peter the Great Saint Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Vladimir Pylev
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, 115522 Moscow, Russia
| | - Vladimir Peterfeld
- Baikal Branch of State Research and Industrial Center of Fisheries, 670034 Ulan-Ude, Russia
| | - Aleksey Penin
- Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, Russia
| | - Elena Balanovska
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, 115522 Moscow, Russia
| | - Alla Lapidus
- Center for Bioinformatics and Algorithmic Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - DNA Zoo Consortium
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Stephen J. OBrien
- Guy Harvey Oceanographic Center, Halmos College of Arts and Sciences, NOVA Southeastern University, Fort Lauderdale, FL 33004, USA
| | - Alexander Graphodatsky
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, 630090 Novosibirsk, Russia
- Correspondence: (A.Y.); (A.G.)
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, 1500 Remount Road, Front Royal, VA 22630, USA
- Center for Species Survival, Smithsonian’s National Zoo and Conservation Biology Institute, 1500 Remount Road, Front Royal, VA 22630, USA
| | - Sergei Kliver
- Center for Evolutionary Hologenomics, The Globe Institute, The University of Copenhagen, 5A, Oester Farimagsgade, 1353 Copenhagen, Denmark
| |
Collapse
|
10
|
Sundell T, Kammonen JI, Mustanoja E, Biard V, Kunnasranta M, Niemi M, Nykänen M, Nyman T, Palo JU, Valtonen M, Paulin L, Jernvall J, Auvinen P. Genomic evidence uncovers inbreeding and supports translocations in rescuing the genetic diversity of a landlocked seal population. CONSERV GENET 2023. [DOI: 10.1007/s10592-022-01497-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
AbstractFragmentation of isolated populations increases the risk of inbreeding and loss of genetic diversity. The endemic Saimaa ringed seal (Pusa hispida saimensis) is one of the most endangered pinnipeds in the world with a population of only ~ 400 individuals. The current genetic diversity of this subspecies, isolated in Lake Saimaa in Finland for ca. 1000 generations, is alarmingly low. We performed whole-genome sequencing on Saimaa ringed seals (N = 30) and analyzed the level of homozygosity and genetic composition across the individual genomes. Our results show that the Saimaa ringed seal population has a high number of runs of homozygosity (RoH) compared with the neighboring Baltic ringed seal (Pusa hispida botnica) reference population (p < 0.001). There is also a tendency for stillborn seal pups to have more pronounced RoH. Since the population is divided into semi-isolated subpopulations within the Lake Saimaa exposing the population to deleterious genomic effects, our results support augmented gene flow as a genetic conservation action. Based on our results suggesting inbreeding depression in the population, we recommend Pihlajavesi as a potential source and Southern Saimaa as a potential recipient subpopulation for translocating individuals. The Saimaa ringed seal is a recognized subspecies and therefore translocations should be considered only within the lake to avoid an unpredictable risk of disease, the introduction of deleterious alleles, and severe ecological issues for the population.
Collapse
|
11
|
Hartley R, Clemann N, Atkins Z, Scheele BC, Lindenmayer DB, Amor MD. Isolated on sky islands: genetic diversity and population structure of an endangered mountain lizard. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01495-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
|
12
|
Ralimanana H, Perrigo AL, Smith RJ, Borrell JS, Faurby S, Rajaonah MT, Randriamboavonjy T, Vorontsova MS, Cooke RSC, Phelps LN, Sayol F, Andela N, Andermann T, Andriamanohera AM, Andriambololonera S, Bachman SP, Bacon CD, Baker WJ, Belluardo F, Birkinshaw C, Cable S, Canales NA, Carrillo JD, Clegg R, Clubbe C, Crottini A, Damasco G, Dhanda S, Edler D, Farooq H, de Lima Ferreira P, Fisher BL, Forest F, Gardiner LM, Goodman SM, Grace OM, Guedes TB, Hackel J, Henniges MC, Hill R, Lehmann CER, Lowry PP, Marline L, Matos-Maraví P, Moat J, Neves B, Nogueira MGC, Onstein RE, Papadopulos AST, Perez-Escobar OA, Phillipson PB, Pironon S, Przelomska NAS, Rabarimanarivo M, Rabehevitra D, Raharimampionona J, Rajaonary F, Rajaovelona LR, Rakotoarinivo M, Rakotoarisoa AA, Rakotoarisoa SE, Rakotomalala HN, Rakotonasolo F, Ralaiveloarisoa BA, Ramirez-Herranz M, Randriamamonjy JEN, Randrianasolo V, Rasolohery A, Ratsifandrihamanana AN, Ravololomanana N, Razafiniary V, Razanajatovo H, Razanatsoa E, Rivers M, Silvestro D, Testo W, Torres Jiménez MF, Walker K, Walker BE, Wilkin P, Williams J, Ziegler T, Zizka A, Antonelli A. Madagascar’s extraordinary biodiversity: Threats and opportunities. Science 2022; 378:eadf1466. [DOI: 10.1126/science.adf1466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Madagascar’s unique biota is heavily affected by human activity and is under intense threat. Here, we review the current state of knowledge on the conservation status of Madagascar’s terrestrial and freshwater biodiversity by presenting data and analyses on documented and predicted species-level conservation statuses, the most prevalent and relevant threats, ex situ collections and programs, and the coverage and comprehensiveness of protected areas. The existing terrestrial protected area network in Madagascar covers 10.4% of its land area and includes at least part of the range of the majority of described native species of vertebrates with known distributions (97.1% of freshwater fishes, amphibians, reptiles, birds, and mammals combined) and plants (67.7%). The overall figures are higher for threatened species (97.7% of threatened vertebrates and 79.6% of threatened plants occurring within at least one protected area). International Union for Conservation of Nature (IUCN) Red List assessments and Bayesian neural network analyses for plants identify overexploitation of biological resources and unsustainable agriculture as the most prominent threats to biodiversity. We highlight five opportunities for action at multiple levels to ensure that conservation and ecological restoration objectives, programs, and activities take account of complex underlying and interacting factors and produce tangible benefits for the biodiversity and people of Madagascar.
Collapse
Affiliation(s)
- Hélène Ralimanana
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Allison L. Perrigo
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
| | - Rhian J. Smith
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | | | - Søren Faurby
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
| | - Mamy Tiana Rajaonah
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | | | - Robert S. C. Cooke
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- UK Centre for Ecology and Hydrology, Wallingford, UK
| | - Leanne N. Phelps
- School of GeoSciences, University of Edinburgh, Edinburgh, UK
- Royal Botanic Garden Edinburgh, Edinburgh, UK
| | - Ferran Sayol
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Niels Andela
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, Wales, UK
| | - Tobias Andermann
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Organismal Biology, SciLifeLab, Uppsala University, Uppsala, Sweden
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | | | | | | | - Christine D. Bacon
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
| | | | - Francesco Belluardo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Chris Birkinshaw
- Missouri Botanical Garden, Madagascar Program, Antananarivo, Madagascar
- Missouri Botanical Garden, St. Louis, MO, USA
| | - Stuart Cable
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Nataly A. Canales
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Juan D. Carrillo
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- CR2P, Muséum National d’Histoire Naturelle, Paris, France
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Rosie Clegg
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Department of Geography, University of Exeter, Exeter, Devon, UK
| | - Colin Clubbe
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Angelica Crottini
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Gabriel Damasco
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Sonia Dhanda
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Daniel Edler
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Integrated Science Lab, Department of Physics, Umeå University, Umeå, Sweden
| | - Harith Farooq
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Faculty of Natural Sciences, Lúrio University, Pemba, Cabo Delgado Province, Mozambique
| | - Paola de Lima Ferreira
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Biology Centre CAS, Institute of Entomology, České Budějovice, Czech Republic
| | | | - Félix Forest
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Lauren M. Gardiner
- Cambridge University Herbarium, Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Steven M. Goodman
- Association Vahatra, Antananarivo, Madagascar
- Field Museum of Natural History, Chicago, IL, USA
| | | | - Thaís B. Guedes
- Instituto de Biologia, Universidade Estadual de Campinas, Unicamp, Campinas, São Paulo, Brazil
| | - Jan Hackel
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Marie C. Henniges
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Rowena Hill
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Caroline E. R. Lehmann
- School of GeoSciences, University of Edinburgh, Edinburgh, UK
- Royal Botanic Garden Edinburgh, Edinburgh, UK
| | - Porter P. Lowry
- Missouri Botanical Garden, St. Louis, MO, USA
- Institut de Systématique, Évolution, et Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, Paris, France
| | - Lovanomenjanahary Marline
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Association Vahatra, Antananarivo, Madagascar
| | - Pável Matos-Maraví
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Biology Centre CAS, Institute of Entomology, České Budějovice, Czech Republic
| | - Justin Moat
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Beatriz Neves
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Matheus G. C. Nogueira
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Renske E. Onstein
- Naturalis Biodiversity Center, Leiden, Netherlands
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | | | | | - Peter B. Phillipson
- Missouri Botanical Garden, St. Louis, MO, USA
- Institut de Systématique, Évolution, et Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, Paris, France
| | - Samuel Pironon
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), Cambridge, UK
| | - Natalia A. S. Przelomska
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Department of Anthropology, Smithsonian National Museum of Natural History, Washington, DC, USA
| | | | - David Rabehevitra
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | - Fano Rajaonary
- Missouri Botanical Garden, Madagascar Program, Antananarivo, Madagascar
| | - Landy R. Rajaovelona
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Mijoro Rakotoarinivo
- Department of Plant Biology and Ecology, University of Antananarivo, Antananarivo, Madagascar
| | - Amédée A. Rakotoarisoa
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Solofo E. Rakotoarisoa
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Herizo N. Rakotomalala
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Franck Rakotonasolo
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | - Myriam Ramirez-Herranz
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Instituto de Ecología y Biodiversidad, University of La Serena, La Serena, Chile
- Programa de Doctorado en Biología y Ecología Aplicada, Universidad Católica del Norte, Universidad de La Serena, La Serena, Chile
| | | | - Vonona Randrianasolo
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | | | | | - Velosoa Razafiniary
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Henintsoa Razanajatovo
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Estelle Razanatsoa
- Plant Conservation Unit, Department of Biological Sciences, University of Cape Town, South Africa
| | - Malin Rivers
- Botanic Gardens Conservation International, Kew, Richmond, Surrey, UK
| | - Daniele Silvestro
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Weston Testo
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Field Museum of Natural History, Chicago, IL, USA
| | - Maria F. Torres Jiménez
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Institute of Biosciences, Life Sciences Centre, Vilnius University, Vilnius, Lithuania
| | - Kim Walker
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Royal Holloway, University of London, Egham, Surrey, UK
| | | | - Paul Wilkin
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | | | - Thomas Ziegler
- Cologne Zoo, Cologne, Germany
- Institute of Zoology, University of Cologne, Cologne, Germany
| | - Alexander Zizka
- Department of Biology, Philipps-University Marburg, Marburg, Germany
| | - Alexandre Antonelli
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Department of Biology, University of Oxford, Oxford, UK
| |
Collapse
|
13
|
Dedato MN, Robert C, Taillon J, Shafer ABA, Côté SD. Demographic history and conservation genomics of caribou ( Rangifer tarandus) in Québec. Evol Appl 2022; 15:2043-2053. [PMID: 36540642 PMCID: PMC9753816 DOI: 10.1111/eva.13495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/31/2022] [Accepted: 10/06/2022] [Indexed: 08/04/2023] Open
Abstract
The loss of genetic diversity is a challenge many species are facing, with genomics being a potential tool to inform and prioritize decision-making. Most caribou (Rangifer tarandus) populations have experienced significant recent declines throughout Québec, Canada, and are considered of concern, threatened or endangered. Here, we calculated the ancestral and contemporary patterns of genomic diversity of five representative caribou populations and applied a comparative population genomics framework to assess the interplay between demographic events and genomic diversity. We first calculated a caribou specific mutation rate, μ, by extracting orthologous genes from related ungulates and estimating the rate of synonymous mutations. Whole genome re-sequencing was then completed on 67 caribou: from these data we calculated nucleotide diversity, θ π and estimated the coalescent or ancestral effective population size (N e), which ranged from 12,030 to 15,513. When compared to the census size, N C, the endangered Gaspésie Mountain caribou population had the highest ancestral N e:N C ratio which is consistent with recent work suggesting high ancestral N e:N C is of conservation concern. In contrast, values of contemporary N e, estimated from linkage-disequilibrium, ranged from 11 to 162, with Gaspésie having among the highest contemporary N e:N C ratio. Importantly, classic conservation genetics theory would predict this population to be of less concern based on this ratio. Interestingly, F varied only slightly between populations, and despite evidence of bottlenecks across the province, runs of homozygosity were not abundant in the genome. Tajima's D estimates mirrored the demographic models and current conservation status. Our study highlights how genomic patterns are nuanced and potentially misleading if viewed only through a contemporary lens; we argue a holistic conservation genomics view should integrate ancestral N e and Tajima's D into management decisions.
Collapse
Affiliation(s)
- Morgan N. Dedato
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughOntarioCanada
| | - Claude Robert
- Département des Sciences AnimalesUniversité LavalQuébecQuébecCanada
| | - Joëlle Taillon
- Direction de l'expertise sur la Faune Terrestre, l'herpétofaune et l'avifaune, Ministère des Forêts, de la faune et des parcsGouvernement du QuébecQuébecQuébecCanada
| | - Aaron B. A. Shafer
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughOntarioCanada
- Forensics DepartmentTrent UniversityPeterboroughOntarioCanada
| | - Steeve D. Côté
- Département de Biologie, Caribou Ungava and Centre d'Études NordiquesUniversité LavalQuébecQuébecCanada
| |
Collapse
|
14
|
Intronic primers reveal unexpectedly high major histocompatibility complex diversity in Antarctic fur seals. Sci Rep 2022; 12:17933. [PMID: 36289307 PMCID: PMC9606363 DOI: 10.1038/s41598-022-21658-7] [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: 05/10/2022] [Accepted: 09/29/2022] [Indexed: 01/20/2023] Open
Abstract
The major histocompatibility complex (MHC) is a group of genes comprising one of the most important components of the vertebrate immune system. Consequently, there has been much interest in characterising MHC variation and its relationship with fitness in a variety of species. Due to the exceptional polymorphism of MHC genes, careful PCR primer design is crucial for capturing all of the allelic variation present in a given species. We therefore developed intronic primers to amplify the full-length 267 bp protein-coding sequence of the MHC class II DQB exon 2 in the Antarctic fur seal. We then characterised patterns of MHC variation among mother-offspring pairs from two breeding colonies and detected 19 alleles among 771 clone sequences from 56 individuals. The distribution of alleles within and among individuals was consistent with a single-copy, classical DQB locus showing Mendelian inheritance. Amino acid similarity at the MHC was significantly associated with genome-wide relatedness, but no relationship was found between MHC heterozygosity and genome-wide heterozygosity. Finally, allelic diversity was several times higher than reported by a previous study based on partial exon sequences. This difference appears to be related to allele-specific amplification bias, implying that primer design can strongly impact the inference of MHC diversity.
Collapse
|
15
|
Niemi M, Nykänen M, Biard V, Kurkilahti M, Kunnasranta M. Molting phenology of a lacustrine ringed seal,
Pusa hispida saimensis. Ecol Evol 2022. [DOI: 10.1002/ece3.9248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Marja Niemi
- Department of Environmental and Biological Sciences University of Eastern Finland Joensuu Finland
| | - Milaja Nykänen
- Department of Environmental and Biological Sciences University of Eastern Finland Joensuu Finland
| | - Vincent Biard
- Department of Environmental and Biological Sciences University of Eastern Finland Joensuu Finland
| | | | - Mervi Kunnasranta
- Department of Environmental and Biological Sciences University of Eastern Finland Joensuu Finland
- Natural Resources Institute Finland Joensuu Finland
| |
Collapse
|
16
|
Virrueta Herrera S, Johnson KP, Sweet AD, Ylinen E, Kunnasranta M, Nyman T. High levels of inbreeding with spatial and host-associated structure in lice of an endangered freshwater seal. Mol Ecol 2022; 31:4593-4606. [PMID: 35726520 PMCID: PMC9544963 DOI: 10.1111/mec.16569] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 05/12/2022] [Accepted: 05/20/2022] [Indexed: 02/02/2023]
Abstract
Host-specialist parasites of endangered large vertebrates are in many cases more endangered than their hosts. In particular, low host population densities and reduced among-host transmission rates are expected to lead to inbreeding within parasite infrapopulations living on single host individuals. Furthermore, spatial population structures of directly-transmitted parasites should be concordant with those of their hosts. Using population genomic approaches, we investigated inbreeding and population structure in a host-specialist seal louse (Echinophthirius horridus) infesting the Saimaa ringed seal (Phoca hispida saimensis), which is endemic to Lake Saimaa in Finland, and is one of the most endangered pinnipeds in the world. We conducted genome resequencing of pairs of lice collected from 18 individual Saimaa ringed seals throughout the Lake Saimaa complex. Our analyses showed high genetic similarity and inbreeding between lice inhabiting the same individual seal host, indicating low among-host transmission rates. Across the lake, genetic differentiation among individual lice was correlated with their geographic distance, and assignment analyses revealed a marked break in the genetic variation of the lice in the middle of the lake, indicating substantial population structure. These findings indicate that movements of Saimaa ringed seals across the main breeding areas of the fragmented Lake Saimaa complex may in fact be more restricted than suggested by previous population-genetic analyses of the seals themselves.
Collapse
Affiliation(s)
- Stephany Virrueta Herrera
- Illinois Natural History Survey, Prairie Research Institute, University of Illinois, Champaign, Illinois, USA.,Program in Ecology, Evolution, and Conservation, University of Illinois, Urbana, Illinois, USA
| | - Kevin P Johnson
- Illinois Natural History Survey, Prairie Research Institute, University of Illinois, Champaign, Illinois, USA
| | - Andrew D Sweet
- Department of Biological Sciences, Arkansas State University, Jonesboro, Arkansas, USA
| | - Eeva Ylinen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Mervi Kunnasranta
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland.,Natural Resources Institute Finland, Joensuu, Finland
| | - Tommi Nyman
- Department of Ecosystems in the Barents Region, Svanhovd Research Station, Norwegian Institute of Bioeconomy Research, Svanvik, Norway
| |
Collapse
|
17
|
Demographic Reconstruction of Antarctic Fur Seals Supports the Krill Surplus Hypothesis. Genes (Basel) 2022; 13:genes13030541. [PMID: 35328094 PMCID: PMC8954904 DOI: 10.3390/genes13030541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/10/2022] [Indexed: 11/16/2022] Open
Abstract
Much debate surrounds the importance of top-down and bottom-up effects in the Southern Ocean, where the harvesting of over two million whales in the mid twentieth century is thought to have produced a massive surplus of Antarctic krill. This excess of krill may have allowed populations of other predators, such as seals and penguins, to increase, a top-down hypothesis known as the ‘krill surplus hypothesis’. However, a lack of pre-whaling population baselines has made it challenging to investigate historical changes in the abundance of the major krill predators in relation to whaling. Therefore, we used reduced representation sequencing and a coalescent-based maximum composite likelihood approach to reconstruct the recent demographic history of the Antarctic fur seal, a pinniped that was hunted to the brink of extinction by 18th and 19th century sealers. In line with the known history of this species, we found support for a demographic model that included a substantial reduction in population size around the time period of sealing. Furthermore, maximum likelihood estimates from this model suggest that the recovered, post-sealing population at South Georgia may have been around two times larger than the pre-sealing population. Our findings lend support to the krill surplus hypothesis and illustrate the potential of genomic approaches to shed light on long-standing questions in population biology.
Collapse
|
18
|
Çilingir FG, Hansen D, Bunbury N, Postma E, Baxter R, Turnbull L, Ozgul A, Grossen C. Low‐coverage reduced representation sequencing reveals subtle within‐island genetic structure in Aldabra giant tortoises. Ecol Evol 2022; 12:e8739. [PMID: 35342600 PMCID: PMC8931707 DOI: 10.1002/ece3.8739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 02/01/2023] Open
Affiliation(s)
- F. Gözde Çilingir
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| | - Dennis Hansen
- Zoological Museum University of Zurich Zurich Switzerland
- Indian Ocean Tortoise Alliance Victoria Seychelles
| | - Nancy Bunbury
- Seychelles Islands Foundation Victoria Seychelles
- Centre for Ecology and Conservation College of Life and Environmental Sciences University of Exeter Penryn UK
| | - Erik Postma
- Centre for Ecology and Conservation College of Life and Environmental Sciences University of Exeter Penryn UK
| | | | | | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| | - Christine Grossen
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| |
Collapse
|
19
|
Searching for genetic evidence of demographic decline in an arctic seabird: beware of overlapping generations. Heredity (Edinb) 2022; 128:364-376. [PMID: 35246618 PMCID: PMC9076905 DOI: 10.1038/s41437-022-00515-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 02/12/2022] [Accepted: 02/14/2022] [Indexed: 11/09/2022] Open
Abstract
Genetic data are useful for detecting sudden population declines in species that are difficult to study in the field. Yet this indirect approach has its own drawbacks, including population structure, mutation patterns, and generation overlap. The ivory gull (Pagophila eburnea), a long-lived Arctic seabird, is currently suffering from rapid alteration of its primary habitat (i.e., sea ice), and dramatic climatic events affecting reproduction and recruitment. However, ivory gulls live in remote areas, and it is difficult to assess the population trend of the species across its distribution. Here we present complementary microsatellite- and SNP-based genetic analyses to test a recent bottleneck genetic signal in ivory gulls over a large portion of their distribution. With attention to the potential effects of population structure, mutation patterns, and sample size, we found no significant signatures of population decline worldwide. At a finer scale, we found a significant bottleneck signal at one location in Canada. These results were compared with predictions from simulations showing how generation time and generation overlap can delay and reduce the bottleneck microsatellite heterozygosity excess signal. The consistency of the results obtained with independent methods strongly indicates that the species shows no genetic evidence of an overall decline in population size. However, drawing conclusions related to the species' population trends will require a better understanding of the effect of age structure in long-lived species. In addition, estimates of the effective global population size of ivory gulls were surprisingly low (~1000 ind.), suggesting that the evolutionary potential of the species is not assured.
Collapse
|
20
|
Barry P, Broquet T, Gagnaire P. Age-specific survivorship and fecundity shape genetic diversity in marine fishes. Evol Lett 2022; 6:46-62. [PMID: 35127137 PMCID: PMC8802244 DOI: 10.1002/evl3.265] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 11/09/2021] [Indexed: 12/02/2022] Open
Abstract
Genetic diversity varies among species due to a range of eco-evolutionary processes that are not fully understood. The neutral theory predicts that the amount of variation in the genome sequence between different individuals of the same species should increase with its effective population size (N e ). In real populations, multiple factors that modulate the variance in reproductive success among individuals causeN e to differ from the total number of individuals ( N ). Among these, age-specific mortality and fecundity rates are known to have a direct impact on theN e / N ratio. However, the extent to which vital rates account for differences in genetic diversity among species remains unknown. Here, we addressed this question by comparing genome-wide genetic diversity across 16 marine fish species with similar geographic distributions but contrasted lifespan and age-specific survivorship and fecundity curves. We sequenced the whole genome of 300 individuals to high coverage and assessed their genome-wide heterozygosity with a reference-free approach. Genetic diversity varied from 0.2% to 1.4% among species, and showed a negative correlation with adult lifespan, with a large negative effect (s l o p e = - 0.089 per additional year of lifespan) that was further increased when brooding species providing intense parental care were removed from the dataset (s l o p e = - 0.129 per additional year of lifespan). Using published vital rates for each species, we showed that theN e / N ratio resulting simply from life tables parameters can predict the observed differences in genetic diversity among species. Using simulations, we further found that the extent of reduction inN e / N with increasing adult lifespan is particularly strong under Type III survivorship curves (high juvenile and low adult mortality) and increasing fecundity with age, a typical characteristic of marine fishes. Our study highlights the importance of vital rates as key determinants of species genetic diversity levels in nature.
Collapse
Affiliation(s)
- Pierre Barry
- ISEM, Univ Montpellier, CNRS, EPHE, IRDMontpellierFrance
| | - Thomas Broquet
- UMR 7144, Station Biologique de Roscoff, CNRS & Sorbonne UniversitéRoscoffFrance
| | | |
Collapse
|
21
|
Schielzeth H, Wolf JBW. Community genomics: a community-wide perspective on within-species genetic diversity. AMERICAN JOURNAL OF BOTANY 2021; 108:2108-2111. [PMID: 34767249 DOI: 10.1002/ajb2.1796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 09/07/2021] [Indexed: 06/13/2023]
Affiliation(s)
- Holger Schielzeth
- Institute of Ecology and Evolution, Friedrich Schiller University Jena, Germany
| | - Jochen B W Wolf
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Germany
| |
Collapse
|
22
|
Nadachowska‐Brzyska K, Konczal M, Babik W. Navigating the temporal continuum of effective population size. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13740] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
| | | | - Wieslaw Babik
- Jagiellonian University in Kraków Faculty of Biology Institute of Environmental Sciences Kraków Poland
| |
Collapse
|
23
|
Peart CR, Williams C, Pophaly SD, Neely BA, Gulland FMD, Adams DJ, Ng BL, Cheng W, Goebel ME, Fedrigo O, Haase B, Mountcastle J, Fungtammasan A, Formenti G, Collins J, Wood J, Sims Y, Torrance J, Tracey A, Howe K, Rhie A, Hoffman JI, Johnson J, Jarvis ED, Breen M, Wolf JBW. Hi-C scaffolded short- and long-read genome assemblies of the California sea lion are broadly consistent for syntenic inference across 45 million years of evolution. Mol Ecol Resour 2021; 21:2455-2470. [PMID: 34097816 PMCID: PMC9732816 DOI: 10.1111/1755-0998.13443] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/06/2021] [Accepted: 05/26/2021] [Indexed: 12/13/2022]
Abstract
With the advent of chromatin-interaction maps, chromosome-level genome assemblies have become a reality for a wide range of organisms. Scaffolding quality is, however, difficult to judge. To explore this gap, we generated multiple chromosome-scale genome assemblies of an emerging wild animal model for carcinogenesis, the California sea lion (Zalophus californianus). Short-read assemblies were scaffolded with two independent chromatin interaction mapping data sets (Hi-C and Chicago), and long-read assemblies with three data types (Hi-C, optical maps and 10X linked reads) following the "Vertebrate Genomes Project (VGP)" pipeline. In both approaches, 18 major scaffolds recovered the karyotype (2n = 36), with scaffold N50s of 138 and 147 Mb, respectively. Synteny relationships at the chromosome level with other pinniped genomes (2n = 32-36), ferret (2n = 34), red panda (2n = 36) and domestic dog (2n = 78) were consistent across approaches and recovered known fissions and fusions. Comparative chromosome painting and multicolour chromosome tiling with a panel of 264 genome-integrated single-locus canine bacterial artificial chromosome probes provided independent evaluation of genome organization. Broad-scale discrepancies between the approaches were observed within chromosomes, most commonly in translocations centred around centromeres and telomeres, which were better resolved in the VGP assembly. Genomic and cytological approaches agreed on near-perfect synteny of the X chromosome, and in combination allowed detailed investigation of autosomal rearrangements between dog and sea lion. This study presents high-quality genomes of an emerging cancer model and highlights that even highly fragmented short-read assemblies scaffolded with Hi-C can yield reliable chromosome-level scaffolds suitable for comparative genomic analyses.
Collapse
Affiliation(s)
- Claire R. Peart
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Munchen, Germany
| | - Christina Williams
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Saurabh D. Pophaly
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Munchen, Germany,Max Planck institute for Plant Breeding Research, Cologne, Germany
| | - Benjamin A. Neely
- National Institute of Standards and Technology, NIST Charleston, Charleston, South Carolina, USA
| | - Frances M. D. Gulland
- Karen Dryer Wildlife Health Center, University of California Davis, Davis, California, USA
| | - David J. Adams
- Cytometry Core Facility, Wellcome Sanger Institute, Cambridge, UK
| | - Bee Ling Ng
- Cytometry Core Facility, Wellcome Sanger Institute, Cambridge, UK
| | - William Cheng
- Cytometry Core Facility, Wellcome Sanger Institute, Cambridge, UK
| | - Michael E. Goebel
- Institute of Marine Science, University of California Santa Cruz, Santa Cruz, California, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA
| | - Bettina Haase
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA
| | | | | | - Giulio Formenti
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA,Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, New York, USA
| | - Joanna Collins
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Jonathan Wood
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Ying Sims
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - James Torrance
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Alan Tracey
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Kerstin Howe
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland, USA
| | - Joseph I. Hoffman
- Department of Animal Behaviour, Bielefeld University, Bielefeld, Germany,British Antarctic Survey, Cambridge, UK
| | - Jeremy Johnson
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
| | - Erich D. Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA,Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Matthew Breen
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA,Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina, USA
| | - Jochen B. W. Wolf
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Munchen, Germany
| |
Collapse
|
24
|
Bilgmann K, Armansin N, Ferchaud A, Normandeau E, Bernatchez L, Harcourt R, Ahonen H, Lowther A, Goldsworthy S, Stow A. Low effective population size in the genetically bottlenecked Australian sea lion is insufficient to maintain genetic variation. Anim Conserv 2021. [DOI: 10.1111/acv.12688] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- K. Bilgmann
- Department of Biological Sciences Macquarie University Sydney Australia
| | - N. Armansin
- Department of Biological Sciences Macquarie University Sydney Australia
| | - A.L. Ferchaud
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec QC Canada
| | - E. Normandeau
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec QC Canada
| | - L. Bernatchez
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec QC Canada
| | - R. Harcourt
- Department of Biological Sciences Macquarie University Sydney Australia
| | - H. Ahonen
- Department of Biological Sciences Macquarie University Sydney Australia
- Norwegian Polar Institute Tromsø Norway
| | | | - S.D. Goldsworthy
- South Australian Research and Development Institute Adelaide South Australia
| | - A. Stow
- Department of Biological Sciences Macquarie University Sydney Australia
| |
Collapse
|
25
|
Neves JMM, Nolen ZJ, Fabré NN, Mott T, Pereira RJ. Genomic methods reveal independent demographic histories despite strong morphological conservatism in fish species. Heredity (Edinb) 2021; 127:323-333. [PMID: 34226671 PMCID: PMC8405619 DOI: 10.1038/s41437-021-00455-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 06/18/2021] [Accepted: 06/18/2021] [Indexed: 02/06/2023] Open
Abstract
Human overexploitation of natural resources has placed conservation and management as one of the most pressing challenges in modern societies, especially in regards to highly vulnerable marine ecosystems. In this context, cryptic species are particularly challenging to conserve because they are hard to distinguish based on morphology alone, and thus it is often unclear how many species coexist in sympatry, what are their phylogenetic relationships and their demographic history. We answer these questions using morphologically similar species of the genus Mugil that are sympatric in the largest coastal Marine Protected Area in the Tropical Southwestern Atlantic marine province. Using a sub-representation of the genome, we show that individuals are assigned to five highly differentiated genetic clusters that are coincident with five mitochondrial lineages, but discordant with morphological information, supporting the existence of five species with conserved morphology in this region. A lack of admixed individuals is consistent with strong genetic isolation between sympatric species, but the most likely species tree suggests that in one case speciation has occurred in the presence of interspecific gene flow. Patterns of genetic diversity within species suggest that effective population sizes differ up to two-fold, probably reflecting differences in the magnitude of population expansions since species formation. Together, our results show that strong morphologic conservatism in marine environments can lead to species that are difficult to distinguish morphologically but that are characterized by an independent evolutionary history, and thus that deserve species-specific management strategies.
Collapse
Affiliation(s)
- Jessika M M Neves
- Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, Alagoas, Brazil.
| | - Zachary J Nolen
- Division of Evolutionary Biology, Faculty of Biology II, Ludwig-Maximilians-Universität München, Grosshaderner Strasse 2, Planegg-Martinsried, Germany
- Department of Biology, Lund University, Lund, Sweden
| | - Nidia N Fabré
- Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, Alagoas, Brazil
| | - Tamí Mott
- Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, Alagoas, Brazil
| | - Ricardo J Pereira
- Division of Evolutionary Biology, Faculty of Biology II, Ludwig-Maximilians-Universität München, Grosshaderner Strasse 2, Planegg-Martinsried, Germany.
| |
Collapse
|
26
|
Edwards SV, Robin V, Ferrand N, Moritz C. The evolution of comparative phylogeography: putting the geography (and more) into comparative population genomics. Genome Biol Evol 2021; 14:6339579. [PMID: 34347070 PMCID: PMC8743039 DOI: 10.1093/gbe/evab176] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/28/2021] [Indexed: 11/13/2022] Open
Abstract
Comparative population genomics is an ascendant field using genomic comparisons between species to draw inferences about forces regulating genetic variation. Comparative phylogeography, by contrast, focuses on the shared lineage histories of species codistributed geographically and is decidedly organismal in perspective. Comparative phylogeography is approximately 35 years old, and, by some metrics, is showing signs of reduced growth. Here, we contrast the goals and methods of comparative population genomics and comparative phylogeography and argue that comparative phylogeography offers an important perspective on evolutionary history that succeeds in integrating genomics with landscape evolution in ways that complement the suprageographic perspective of comparative population genomics. Focusing primarily on terrestrial vertebrates, we review the history of comparative phylogeography, its milestones and ongoing conceptual innovations, its increasingly global focus, and its status as a bridge between landscape genomics and the process of speciation. We also argue that, as a science with a strong “sense of place,” comparative phylogeography offers abundant “place-based” educational opportunities with its focus on geography and natural history, as well as opportunities for collaboration with local communities and indigenous peoples. Although comparative phylogeography does not yet require whole-genome sequencing for many of its goals, we conclude that it nonetheless plays an important role in grounding our interpretation of genetic variation in the fundamentals of geography and Earth history.
Collapse
Affiliation(s)
- Scott V Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.,Museum of Comparative Zoology, Harvard University, Cambridge, MA, 02138, USA
| | - Vv Robin
- Indian Institute of Science Education and Research (IISER) Tirupati, Karakambadi Road, Tirupati, Andhra Pradesh, 517507, India
| | - Nuno Ferrand
- CIBIO/InBIO, Laboratório Associado, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, Universidade do Porto, Portugal
| | - Craig Moritz
- Research School of Biology, The Australian National University, Canberra, ACT, 0200, Australia
| |
Collapse
|
27
|
DeWoody JA, Harder AM, Mathur S, Willoughby JR. The long-standing significance of genetic diversity in conservation. Mol Ecol 2021; 30:4147-4154. [PMID: 34191374 DOI: 10.1111/mec.16051] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/20/2021] [Accepted: 06/28/2021] [Indexed: 12/12/2022]
Abstract
Since allozymes were first used to assess genetic diversity in the 1960s and 1970s, biologists have attempted to characterize gene pools and conserve the diversity observed in domestic crops, livestock, zoos and (more recently) natural populations. Recently, some authors have claimed that the importance of genetic diversity in conservation biology has been greatly overstated. Here, we argue that a voluminous literature indicates otherwise. We address four main points made by detractors of genetic diversity's role in conservation by using published literature to firmly establish that genetic diversity is intimately tied to evolutionary fitness, and that the associated demographic consequences are of paramount importance to many conservation efforts. We think that responsible management in the Anthropocene should, whenever possible, include the conservation of ecosystems, communities, populations and individuals, and their underlying genetic diversity.
Collapse
Affiliation(s)
- J Andrew DeWoody
- Department of Forestry and Natural Resources, Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Avril M Harder
- School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, USA
| | - Samarth Mathur
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, Ohio, USA
| | - Janna R Willoughby
- School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, USA
| |
Collapse
|
28
|
Nyman T, Papadopoulou E, Ylinen E, Wutke S, Michell CT, Sromek L, Sinisalo T, Andrievskaya E, Alexeev V, Kunnasranta M. DNA barcoding reveals different cestode helminth species in northern European marine and freshwater ringed seals. INTERNATIONAL JOURNAL FOR PARASITOLOGY-PARASITES AND WILDLIFE 2021; 15:255-261. [PMID: 34277335 PMCID: PMC8261468 DOI: 10.1016/j.ijppaw.2021.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/14/2021] [Accepted: 06/21/2021] [Indexed: 02/08/2023]
Abstract
Three subspecies of the ringed seal (Pusa hispida) are found in northeastern Europe: P. h. botnica in the Baltic Sea, P. h saimensis in Lake Saimaa in Finland, and P. h. ladogensis in Lake Ladoga in Russia. We investigated the poorly-known cestode helminth communities of these closely related but ecologically divergent subspecies using COI barcode data. Our results show that, while cestodes from the Baltic Sea represent Schistocephalus solidus, all worms from the two lakes are identified as Ligula intestinalis, a species that has previously not been reported from seals. The observed shift in cestode communities appears to be driven by differential availability of intermediate fish host species in marine vs. freshwater environments. Both observed cestode species normally infect fish-eating birds, so further work is required to elucidate the health and conservation implications of cestode infections in European ringed seals, whether L. intestinalis occurs also in marine ringed seals, and whether the species is able to reproduce in seal hosts. In addition, a deep barcode divergence found within S. solidus suggests the presence of cryptic diversity under this species name. COI barcoding reveals different cestodes in marine and freshwater ringed seals. Ligula intestinalis is reported for the first time from seals. A deep barcode divergence is found within Schistocephalus solidus in the Baltic Sea.
Collapse
Affiliation(s)
- Tommi Nyman
- Department of Ecosystems in the Barents Region, Norwegian Institute of Bioeconomy Research, Svanvik, Norway
| | - Elena Papadopoulou
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Eeva Ylinen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Saskia Wutke
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Craig T Michell
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Ludmila Sromek
- Department of Marine Ecosystems Functioning, Institute of Oceanography, University of Gdansk, Gdynia, Poland
| | - Tuula Sinisalo
- Department of Biological and Environmental Sciences, University of Jyväskylä, Jyväskylä, Finland
| | | | | | - Mervi Kunnasranta
- Natural Resources Institute Finland, Joensuu, Finland.,Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| |
Collapse
|
29
|
Wang P, Burley JT, Liu Y, Chang J, Chen D, Lu Q, Li SH, Zhou X, Edwards S, Zhang Z. Genomic Consequences of Long-Term Population Decline in Brown Eared Pheasant. Mol Biol Evol 2021; 38:263-273. [PMID: 32853368 PMCID: PMC7783171 DOI: 10.1093/molbev/msaa213] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Population genetic theory and empirical evidence indicate that deleterious alleles can be purged in small populations. However, this viewpoint remains controversial. It is unclear whether natural selection is powerful enough to purge deleterious mutations when wild populations continue to decline. Pheasants are terrestrial birds facing a long-term risk of extinction as a result of anthropogenic perturbations and exploitation. Nevertheless, there are scant genomics resources available for conservation management and planning. Here, we analyzed comparative population genomic data for the three extant isolated populations of Brown eared pheasant (Crossoptilon mantchuricum) in China. We showed that C. mantchuricum has low genome-wide diversity and a contracting effective population size because of persistent declines over the past 100,000 years. We compared genome-wide variation in C. mantchuricum with that of its closely related sister species, the Blue eared pheasant (C. auritum) for which the conservation concern is low. There were detrimental genetic consequences across all C. mantchuricum genomes including extended runs of homozygous sequences, slow rates of linkage disequilibrium decay, excessive loss-of-function mutations, and loss of adaptive genetic diversity at the major histocompatibility complex region. To the best of our knowledge, this study is the first to perform a comprehensive conservation genomic analysis on this threatened pheasant species. Moreover, we demonstrated that natural selection may not suffice to purge deleterious mutations in wild populations undergoing long-term decline. The findings of this study could facilitate conservation planning for threatened species and help recover their population size.
Collapse
Affiliation(s)
- Pengcheng Wang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China.,Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,Department of Organismic and Evolutionary Biology/Museum of Comparative Zoology, Harvard University, Cambridge, MA
| | - John T Burley
- Department of Ecology and Evolutionary Biology/Institute at Brown for Environment and Society, Brown University, Providence, RI
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-Sen University, Guangzhou, China
| | - Jiang Chang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - De Chen
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Qi Lu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Shou-Hsien Li
- School of Life Science, National Taiwan Normal University, Taipei, Taiwan, China
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Scott Edwards
- Department of Organismic and Evolutionary Biology/Museum of Comparative Zoology, Harvard University, Cambridge, MA
| | - Zhengwang Zhang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| |
Collapse
|
30
|
Haworth SE, Nituch L, Northrup JM, Shafer ABA. Characterizing the demographic history and prion protein variation to infer susceptibility to chronic wasting disease in a naïve population of white-tailed deer ( Odocoileus virginianus). Evol Appl 2021; 14:1528-1539. [PMID: 34178102 PMCID: PMC8210793 DOI: 10.1111/eva.13214] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/12/2021] [Accepted: 03/02/2021] [Indexed: 12/17/2022] Open
Abstract
Assessments of the adaptive potential in natural populations are essential for understanding and predicting responses to environmental stressors like climate change and infectious disease. Species face a range of stressors in human-dominated landscapes, often with contrasting effects. White-tailed deer (Odocoileus virginianus; deer) are expanding in the northern part of their range following decreasing winter severity and increasing forage availability. Chronic wasting disease (CWD), a prion disease affecting deer, is likewise expanding and represents a major threat to deer and other cervids. We obtained tissue samples from free-ranging deer across their native range in Ontario, Canada, which has yet to detect CWD in wild populations. We used high-throughput sequencing to assess neutral genomic variation and variation in the prion protein gene (PRNP) that is partly responsible for the protein misfolding when deer contract CWD. Neutral variation revealed a high number of rare alleles and no population structure, and demographic models suggested a rapid historical population expansion. Allele frequencies of PRNP variants associated with CWD susceptibility and disease progression were evenly distributed across the landscape and consistent with deer populations not infected with CWD. We estimated the selection coefficient of CWD, with simulations showing an observable and rapid shift in PRNP allele frequencies that coincides with the start of a novel CWD outbreak. Sustained surveillance of genomic and PRNP variation can be a useful tool for guiding management practices, which is especially important for CWD-free regions where deer are managed for ecological and economic benefits.
Collapse
Affiliation(s)
- Sarah E. Haworth
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughONCanada
| | - Larissa Nituch
- Wildlife Research and Monitoring SectionOntario Ministry of Natural Resources and ForestryTrent UniversityPeterboroughONCanada
| | - Joseph M. Northrup
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughONCanada
- Wildlife Research and Monitoring SectionOntario Ministry of Natural Resources and ForestryTrent UniversityPeterboroughONCanada
| | - Aaron B. A. Shafer
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughONCanada
- Department of ForensicsTrent UniversityPeterboroughONCanada
| |
Collapse
|
31
|
Sellinger TPP, Abu-Awad D, Tellier A. Limits and convergence properties of the sequentially Markovian coalescent. Mol Ecol Resour 2021; 21:2231-2248. [PMID: 33978324 DOI: 10.1111/1755-0998.13416] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 04/19/2021] [Accepted: 04/29/2021] [Indexed: 02/07/2023]
Abstract
Several methods based on the sequentially Markovian coalescent (SMC) make use of full genome sequence data from samples to infer population demographic history including past changes in population size, admixture, migration events and population structure. More recently, the original theoretical framework has been extended to allow the simultaneous estimation of population size changes along with other life history traits such as selfing or seed banking. The latter developments enhance the applicability of SMC methods to nonmodel species. Although convergence proofs have been given using simulated data in a few specific cases, an in-depth investigation of the limitations of SMC methods is lacking. In order to explore such limits, we first develop a tool inferring the best case convergence of SMC methods assuming the true underlying coalescent genealogies are known. This tool can be used to quantify the amount and type of information that can be confidently retrieved from given data sets prior to the analysis of the real data. Second, we assess the inference accuracy when the assumptions of SMC approaches are violated due to departures from the model, namely the presence of transposable elements, variable recombination and mutation rates along the sequence, and SNP calling errors. Third, we deliver a new interpretation of SMC methods by highlighting the importance of the transition matrix, which we argue can be used as a set of summary statistics in other statistical inference methods, uncoupling the SMC from hidden Markov models (HMMs). We finally offer recommendations to better apply SMC methods and build adequate data sets under budget constraints.
Collapse
Affiliation(s)
| | - Diala Abu-Awad
- Department of Life Science Systems, Technical University of Munich, Munchen, Germany
| | - Aurélien Tellier
- Department of Life Science Systems, Technical University of Munich, Munchen, Germany
| |
Collapse
|
32
|
Dong F, Kuo HC, Chen GL, Wu F, Shan PF, Wang J, Chen D, Lei FM, Hung CM, Liu Y, Yang XJ. Population genomic, climatic and anthropogenic evidence suggest the role of human forces in endangerment of green peafowl ( Pavo muticus). Proc Biol Sci 2021; 288:20210073. [PMID: 33823666 DOI: 10.1098/rspb.2021.0073] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Both anthropogenic impacts and historical climate change could contribute to population decline and species extinction, but their relative importance is still unclear. Emerging approaches based on genomic, climatic and anthropogenic data provide a promising analytical framework to address this question. This study applied such an integrative approach to examine potential drivers for the endangerment of the green peafowl (Pavo muticus). Several demographic reconstructions based on population genomes congruently retrieved a drastic population declination since the mid-Holocene. Furthermore, a comparison between historical and modern genomes suggested genetic diversity decrease during the last 50 years. However, climate-based ecological niche models predicted stationary general range during these periods and imply the little impact of climate change. Further analyses suggested that human disturbance intensities were negatively correlated with the green peafowl's effective population sizes and significantly associated with its survival status (extirpation or persistence). Archaeological and historical records corroborate the critical role of humans, leaving the footprint of low genomic diversity and high inbreeding in the survival populations. This study sheds light on the potential deep-time effects of human disturbance on species endangerment and offers a multi-evidential approach in examining underlying forces for population declines.
Collapse
Affiliation(s)
- Feng Dong
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, People's Republic of China
| | - Hao-Chih Kuo
- Biodiversity Research Center, Academia Sinica, Taipei 115, Taiwan
| | - Guo-Ling Chen
- State Key Laboratory of Biocontrol, School of Ecology and School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, People's Republic of China
| | - Fei Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, People's Republic of China
| | - Peng-Fei Shan
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, People's Republic of China
| | - Jie Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, People's Republic of China
| | - De Chen
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Fu-Min Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
| | - Chih-Ming Hung
- Biodiversity Research Center, Academia Sinica, Taipei 115, Taiwan
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology and School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, People's Republic of China
| | - Xiao-Jun Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, People's Republic of China
| |
Collapse
|
33
|
Island songbirds as windows into evolution in small populations. Curr Biol 2021; 31:1303-1310.e4. [PMID: 33476557 DOI: 10.1016/j.cub.2020.12.040] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 10/12/2020] [Accepted: 12/23/2020] [Indexed: 11/20/2022]
Abstract
Due to their limited ranges and inherent isolation, island species have long been recognized as crucial systems for tackling a range of evolutionary questions, including in the early study of speciation.1,2 Such species have been less studied in the understanding of the evolutionary forces driving DNA sequence evolution. Island species usually have lower census population sizes (N) than continental species and, supposedly, lower effective population sizes (Ne). Given that both the rates of change caused by genetic drift and by selection are dependent upon Ne, island species are theoretically expected to exhibit (1) lower genetic diversity, (2) less effective natural selection against slightly deleterious mutations,3,4 and (3) a lower rate of adaptive evolution.5-8 Here, we have used a large set of newly sequenced and published whole-genome sequences of Passerida species (14 insular and 11 continental) to test these predictions. We confirm that island species exhibit lower census size and Ne, supporting the hypothesis that the smaller area available on islands constrains the upper bound of Ne. In the insular species, we find lower nucleotide diversity in coding regions, higher ratios of non-synonymous to synonymous polymorphisms, and lower adaptive substitution rates. Our results provide robust evidence that the lower Ne experienced by island species has affected both the ability of natural selection to efficiently remove weakly deleterious mutations and also the adaptive potential of island species, therefore providing considerable empirical support for the nearly neutral theory. We discuss the implications for both evolutionary and conservation biology.
Collapse
|
34
|
Lopes F, Oliveira LR, Kessler A, Beux Y, Crespo E, Cárdenas-Alayza S, Majluf P, Sepúlveda M, Brownell RL, Franco-Trecu V, Páez-Rosas D, Chaves J, Loch C, Robertson BC, Acevedo-Whitehouse K, Elorriaga-Verplancken FR, Kirkman SP, Peart CR, Wolf JBW, Bonatto SL. Phylogenomic Discordance in the Eared Seals is best explained by Incomplete Lineage Sorting following Explosive Radiation in the Southern Hemisphere. Syst Biol 2020; 70:786-802. [PMID: 33367817 DOI: 10.1093/sysbio/syaa099] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 12/02/2020] [Accepted: 12/08/2020] [Indexed: 12/25/2022] Open
Abstract
The phylogeny and systematics of fur seals and sea lions (Otariidae) have long been studied with diverse data types, including an increasing amount of molecular data. However, only a few phylogenetic relationships have reached acceptance because of strong gene-tree species tree discordance. Divergence times estimates in the group also vary largely between studies. These uncertainties impeded the understanding of the biogeographical history of the group, such as when and how trans-equatorial dispersal and subsequent speciation events occurred. Here, we used high-coverage genome-wide sequencing for 14 of the 15 species of Otariidae to elucidate the phylogeny of the family and its bearing on the taxonomy and biogeographical history. Despite extreme topological discordance among gene trees, we found a fully supported species tree that agrees with the few well-accepted relationships and establishes monophyly of the genus Arctocephalus. Our data support a relatively recent trans-hemispheric dispersal at the base of a southern clade, which rapidly diversified into six major lineages between 3 and 2.5 Ma. Otaria diverged first, followed by Phocarctos and then four major lineages within Arctocephalus. However, we found Zalophus to be nonmonophyletic, with California (Zalophus californianus) and Steller sea lions (Eumetopias jubatus) grouping closer than the Galapagos sea lion (Zalophus wollebaeki) with evidence for introgression between the two genera. Overall, the high degree of genealogical discordance was best explained by incomplete lineage sorting resulting from quasi-simultaneous speciation within the southern clade with introgresssion playing a subordinate role in explaining the incongruence among and within prior phylogenetic studies of the family. [Hybridization; ILS; phylogenomics; Pleistocene; Pliocene; monophyly.].
Collapse
Affiliation(s)
- Fernando Lopes
- Escola de Ciências da Saúde e da Vida, Pontifícia Universidade Católica do Rio Grande do Sul, 90619-900 Porto Alegre, RS, Brazil.,Laboratório de Ecologia de Mamíferos, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil
| | - Larissa R Oliveira
- Laboratório de Ecologia de Mamíferos, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil.,GEMARS, Grupo de Estudos de Mamíferos Aquáticos do Rio Grande do Sul, 95560-000 Torres, RS, Brazil
| | - Amanda Kessler
- Escola de Ciências da Saúde e da Vida, Pontifícia Universidade Católica do Rio Grande do Sul, 90619-900 Porto Alegre, RS, Brazil
| | - Yago Beux
- Escola de Ciências da Saúde e da Vida, Pontifícia Universidade Católica do Rio Grande do Sul, 90619-900 Porto Alegre, RS, Brazil
| | - Enrique Crespo
- Centro Nacional Patagónico - CENPAT, CONICET, Puerto Madryn, Argentina
| | - Susana Cárdenas-Alayza
- Centro para la Sostenibilidad Ambiental, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Patricia Majluf
- Centro para la Sostenibilidad Ambiental, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Maritza Sepúlveda
- Centro de Investigación y Gestión de Recursos Naturales (CIGREN), Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
| | - Robert L Brownell
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration, NOAA, La Jolla, USA
| | - Valentina Franco-Trecu
- Departamento de Ecología y Evolución, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Diego Páez-Rosas
- Colegio de Ciencias Biológicas y Ambientales, COCIBA, Universidad San Francisco de Quito, Quito, Ecuador
| | - Jaime Chaves
- Colegio de Ciencias Biológicas y Ambientales, COCIBA, Universidad San Francisco de Quito, Quito, Ecuador.,Department of Biology, San Francisco State University, 1800 Holloway Ave, San Francisco, CA, USA
| | - Carolina Loch
- Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | | | - Karina Acevedo-Whitehouse
- Unit for Basic and Applied Microbiology, School of Natural Sciences, Universidad Autónoma de Querétaro, Querétaro, Mexico
| | | | - Stephen P Kirkman
- Department of Environmental Affairs, Oceans and Coasts, Cape Town, South Africa
| | - Claire R Peart
- Department Biologie II, Division of Evolutionary Biology, Ludwig-Maximilians-Universität München, Münich, Germany
| | - Jochen B W Wolf
- Department Biologie II, Division of Evolutionary Biology, Ludwig-Maximilians-Universität München, Münich, Germany
| | - Sandro L Bonatto
- Escola de Ciências da Saúde e da Vida, Pontifícia Universidade Católica do Rio Grande do Sul, 90619-900 Porto Alegre, RS, Brazil
| |
Collapse
|