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Wróbel A, Klichowska E, Nowak A, Nobis M. Alpine Extremophytes in Evolutionary Turmoil: Complex Diversification Patterns and Demographic Responses of a Halophilic Grass in a Central Asian Biodiversity Hotspot. Syst Biol 2024; 73:263-278. [PMID: 38141222 PMCID: PMC11282368 DOI: 10.1093/sysbio/syad073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 11/23/2023] [Accepted: 12/19/2023] [Indexed: 12/25/2023] Open
Abstract
Diversification and demographic responses are key processes shaping species evolutionary history. Yet we still lack a full understanding of ecological mechanisms that shape genetic diversity at different spatial scales upon rapid environmental changes. In this study, we examined genetic differentiation in an extremophilic grass Puccinellia pamirica and factors affecting its population dynamics among the occupied hypersaline alpine wetlands on the arid Pamir Plateau in Central Asia. Using genomic data, we found evidence of fine-scale population structure and gene flow among the localities established across the high-elevation plateau as well as fingerprints of historical demographic expansion. We showed that an increase in the effective population size could coincide with the Last Glacial Period, which was followed by the species demographic decline during the Holocene. Geographic distance plays a vital role in shaping the spatial genetic structure of P. pamirica alongside with isolation-by-environment and habitat fragmentation. Our results highlight a complex history of divergence and gene flow in this species-poor alpine region during the Late Quaternary. We demonstrate that regional climate specificity and a shortage of nonclimate data largely impede predictions of future range changes of the alpine extremophile using ecological niche modeling. This study emphasizes the importance of fine-scale environmental heterogeneity for population dynamics and species distribution shifts.
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Affiliation(s)
- Anna Wróbel
- Institute of Botany, Faculty of Biology, Jagiellonian University, Gronostajowa 3, 30-387 Kraków, Poland
- Doctoral School of Exact and Natural Sciences, Jagiellonian University, Prof. St. Łojasiewicza 11, 30-348 Kraków, Poland
| | - Ewelina Klichowska
- Institute of Botany, Faculty of Biology, Jagiellonian University, Gronostajowa 3, 30-387 Kraków, Poland
| | - Arkadiusz Nowak
- Botanical Garden, Center for Biological Diversity Conservation, Polish Academy of Sciences, Prawdziwka 2, 02-973 Warszawa, Poland
- Botanical Garden of the Wrocław University, Sienkiewicza 23, 50-335 Wrocław, Poland
| | - Marcin Nobis
- Institute of Botany, Faculty of Biology, Jagiellonian University, Gronostajowa 3, 30-387 Kraków, Poland
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2
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Teixeira H, Le Corre M, Michon L, Nicoll MAC, Jaeger A, Nikolic N, Pinet P, Couzi FX, Humeau L. Past volcanic activity predisposes an endemic threatened seabird to negative anthropogenic impacts. Sci Rep 2024; 14:1960. [PMID: 38263429 PMCID: PMC10805739 DOI: 10.1038/s41598-024-52556-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/19/2024] [Indexed: 01/25/2024] Open
Abstract
Humans are regularly cited as the main driver of current biodiversity extinction, but the impact of historic volcanic activity is often overlooked. Pre-human evidence of wildlife abundance and diversity are essential for disentangling anthropogenic impacts from natural events. Réunion Island, with its intense and well-documented volcanic activity, endemic biodiversity, long history of isolation and recent human colonization, provides an opportunity to disentangle these processes. We track past demographic changes of a critically endangered seabird, the Mascarene petrel Pseudobulweria aterrima, using genome-wide SNPs. Coalescent modeling suggested that a large ancestral population underwent a substantial population decline in two distinct phases, ca. 125,000 and 37,000 years ago, coinciding with periods of major eruptions of Piton des Neiges. Subsequently, the ancestral population was fragmented into the two known colonies, ca. 1500 years ago, following eruptions of Piton de la Fournaise. In the last century, both colonies declined significantly due to anthropogenic activities, and although the species was initially considered extinct, it was rediscovered in the 1970s. Our findings suggest that the current conservation status of wildlife on volcanic islands should be firstly assessed as a legacy of historic volcanic activity, and thereafter by the increasing anthropogenic impacts, which may ultimately drive species towards extinction.
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Affiliation(s)
- Helena Teixeira
- UMR ENTROPIE (Université de La Réunion, IRD, CNRS, IFREMER, Université de Nouvelle-Calédonie), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France.
| | - Matthieu Le Corre
- UMR ENTROPIE (Université de La Réunion, IRD, CNRS, IFREMER, Université de Nouvelle-Calédonie), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France
| | - Laurent Michon
- Université de La Réunion, Laboratoire Géosciences Réunion, 97744, Saint Denis, France
- Université Paris Cité, Institut de physique du globe de Paris, CNRS, 75005, Paris, France
| | - Malcolm A C Nicoll
- Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK
| | - Audrey Jaeger
- UMR ENTROPIE (Université de La Réunion, IRD, CNRS, IFREMER, Université de Nouvelle-Calédonie), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France
| | | | - Patrick Pinet
- Parc National de La Réunion, Life+ Pétrels, 258 Rue de la République, 97431, Plaine des Palmistes, Réunion Island, France
| | - François-Xavier Couzi
- Société d'Etudes Ornithologiques de La Réunion (SEOR), 13 ruelle des Orchidées, 97440, Saint André, Réunion Island, France
| | - Laurence Humeau
- UMR PVBMT (Université de La Réunion, CIRAD), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France
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3
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Marchi N, Kapopoulou A, Excoffier L. Demogenomic inference from spatially and temporally heterogeneous samples. Mol Ecol Resour 2024; 24:e13877. [PMID: 37819677 DOI: 10.1111/1755-0998.13877] [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: 04/24/2023] [Revised: 09/15/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023]
Abstract
Modern and ancient genomes are not necessarily drawn from homogeneous populations, as they may have been collected from different places and at different times. This heterogeneous sampling can be an issue for demographic inferences and results in biased demographic parameters and incorrect model choice if not properly considered. When explicitly accounted for, it can result in very complex models and high data dimensionality that are difficult to analyse. In this paper, we formally study the impact of such spatial and temporal sampling heterogeneity on demographic inference, and we introduce a way to circumvent this problem. To deal with structured samples without increasing the dimensionality of the site frequency spectrum (SFS), we introduce a new structured approach to the existing program fastsimcoal2. We assess the efficiency and relevance of this methodological update with simulated and modern human genomic data. We particularly focus on spatial and temporal heterogeneities to evidence the interest of this new SFS-based approach, which can be especially useful when handling scattered and ancient DNA samples, as in conservation genetics or archaeogenetics.
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Affiliation(s)
- Nina Marchi
- CMPG, Institute for Ecology and Evolution, University of Berne, Berne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Adamandia Kapopoulou
- CMPG, Institute for Ecology and Evolution, University of Berne, Berne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Laurent Excoffier
- CMPG, Institute for Ecology and Evolution, University of Berne, Berne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
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4
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Lescroart J, Bonilla-Sánchez A, Napolitano C, Buitrago-Torres DL, Ramírez-Chaves HE, Pulido-Santacruz P, Murphy WJ, Svardal H, Eizirik E. Extensive Phylogenomic Discordance and the Complex Evolutionary History of the Neotropical Cat Genus Leopardus. Mol Biol Evol 2023; 40:msad255. [PMID: 37987559 PMCID: PMC10701098 DOI: 10.1093/molbev/msad255] [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: 08/31/2023] [Revised: 11/07/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023] Open
Abstract
Even in the genomics era, the phylogeny of Neotropical small felids comprised in the genus Leopardus remains contentious. We used whole-genome resequencing data to construct a time-calibrated consensus phylogeny of this group, quantify phylogenomic discordance, test for interspecies introgression, and assess patterns of genetic diversity and demographic history. We infer that the Leopardus radiation started in the Early Pliocene as an initial speciation burst, followed by another in its subgenus Oncifelis during the Early Pleistocene. Our findings challenge the long-held notion that ocelot (Leopardus pardalis) and margay (L. wiedii) are sister species and instead indicate that margay is most closely related to the enigmatic Andean cat (L. jacobita), whose whole-genome data are reported here for the first time. In addition, we found that the newly sampled Andean tiger cat (L. tigrinus pardinoides) population from Colombia associates closely with Central American tiger cats (L. tigrinus oncilla). Genealogical discordance was largely attributable to incomplete lineage sorting, yet was augmented by strong gene flow between ocelot and the ancestral branch of Oncifelis, as well as between Geoffroy's cat (L. geoffroyi) and southern tiger cat (L. guttulus). Contrasting demographic trajectories have led to disparate levels of current genomic diversity, with a nearly tenfold difference in heterozygosity between Andean cat and ocelot, spanning the entire range of variability found in extant felids. Our analyses improved our understanding of the speciation history and diversity patterns in this felid radiation, and highlight the benefits to phylogenomic inference of embracing the many heterogeneous signals scattered across the genome.
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Affiliation(s)
- Jonas Lescroart
- Department of Biology, University of Antwerp, Antwerp, Belgium
- School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Alejandra Bonilla-Sánchez
- School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Faculty of Exact and Natural Sciences, University of Antioquia, Medellín, Colombia
| | - Constanza Napolitano
- Department of Biological Sciences and Biodiversity, University of Los Lagos, Osorno, Chile
- Institute of Ecology and Biodiversity, Concepción, Chile
- Cape Horn International Center, Puerto Williams, Chile
- Andean Cat Alliance, Villa Carlos Paz, Argentina
| | - Diana L Buitrago-Torres
- School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Héctor E Ramírez-Chaves
- Department of Biological Sciences, University of Caldas, Manizales, Colombia
- Centro de Museos, Museo de Historia Natural, University of Caldas, Manizales, Colombia
| | | | - William J Murphy
- Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA
- Interdisciplinary Program in Genetics & Genomics, Texas A&M University, College Station, TX, USA
| | - Hannes Svardal
- Department of Biology, University of Antwerp, Antwerp, Belgium
- Naturalis Biodiversity Center, Leiden, Netherlands
| | - Eduardo Eizirik
- School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Instituto Pró-Carnívoros, Atibaia, Brazil
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5
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Zhong L, Zhu Y, Olsen KM. Wild progenitors provide a sound baseline model for evolutionary analysis of domesticated crop species. Heredity (Edinb) 2023; 130:111-113. [PMID: 36829043 PMCID: PMC9981727 DOI: 10.1038/s41437-023-00605-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/26/2023] Open
Affiliation(s)
- Limei Zhong
- Key Laboratory of Molecular Biology and Gene Engineering in Jiangxi, School of Life Sciences, Nanchang University, Nanchang, China.
| | - Youlin Zhu
- Key Laboratory of Molecular Biology and Gene Engineering in Jiangxi, School of Life Sciences, Nanchang University, Nanchang, China.
| | - Kenneth M Olsen
- Department of Biology, Washington University in St. Louis, St. Louis, MO, USA.
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6
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Reid BN, Pinsky ML. Simulation-Based Evaluation of Methods, Data Types, and Temporal Sampling Schemes for Detecting Recent Population Declines. Integr Comp Biol 2022; 62:1849-1863. [PMID: 36104155 PMCID: PMC9801984 DOI: 10.1093/icb/icac144] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/08/2022] [Accepted: 08/14/2022] [Indexed: 01/05/2023] Open
Abstract
Understanding recent population trends is critical to quantifying species vulnerability and implementing effective management strategies. To evaluate the accuracy of genomic methods for quantifying recent declines (beginning <120 generations ago), we simulated genomic data using forward-time methods (SLiM) coupled with coalescent simulations (msprime) under a number of demographic scenarios. We evaluated both site frequency spectrum (SFS)-based methods (momi2, Stairway Plot) and methods that employ linkage disequilibrium information (NeEstimator, GONE) with a range of sampling schemes (contemporary-only samples, sampling two time points, and serial sampling) and data types (RAD-like data and whole-genome sequencing). GONE and momi2 performed best overall, with >80% power to detect severe declines with large sample sizes. Two-sample and serial sampling schemes could accurately reconstruct changes in population size, and serial sampling was particularly valuable for making accurate inferences when genotyping errors or minor allele frequency cutoffs distort the SFS or under model mis-specification. However, sampling only contemporary individuals provided reliable inferences about contemporary size and size change using either site frequency or linkage-based methods, especially when large sample sizes or whole genomes from contemporary populations were available. These findings provide a guide for researchers designing genomics studies to evaluate recent demographic declines.
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Affiliation(s)
| | - Malin L Pinsky
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ 08901, USA
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7
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Sawakuchi AO, Schultz ED, Pupim FN, Bertassoli DJ, Souza DF, Cunha DF, Mazoca CE, Ferreira MP, Grohmann CH, Wahnfried ID, Chiessi CM, Cruz FW, Almeida RP, Ribas CC. Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia. Nat Commun 2022; 13:4945. [PMID: 35999209 PMCID: PMC9399099 DOI: 10.1038/s41467-022-32561-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/05/2022] [Indexed: 01/27/2023] Open
Abstract
Spatial arrangement of distinct Amazonian environments through time and its effect on specialized biota remain poorly known, fueling long-lasting debates about drivers of biotic diversification. We address the late Quaternary sediment deposition that assembled the world's largest seasonally flooded ecosystems. Genome sequencing was used to reconstruct the demographic history of bird species specialized in either early successional vegetation or mature floodplain forests. Sediment deposition that built seasonally flooded habitats accelerated throughout the Holocene (last 11,700 years) under sea level highstand and intensification of the South American Monsoon, at the same time as global increases in atmospheric methane concentration. Bird populations adapted to seasonally flooded habitats expanded due to enlargement of Amazonian river floodplains and archipelagos. Our findings suggest that the diversification of the biota specialized in seasonally flooded habitats is coupled to sedimentary budget changes of large rivers, which rely on combined effects of sea level and rainfall variations. This study found that millennial periods of higher rainfall combined with rising sea level enhanced sediment accumulation in Amazonian rivers valleys. This fuelled synchronous expansion of vegetation adapted to seasonally flooded substrates and its specialized bird populations, showing how global climate changes can affect specific Amazonian species.
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Affiliation(s)
- A O Sawakuchi
- Institute of Geosciences, University of São Paulo, Rua do Lago 562, São Paulo, SP, Brazil.
| | - E D Schultz
- Programa de Pós-Graduação em Biologia (Ecologia), Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo 2936, Manaus, AM, Brazil.,Department of Ornithology, American Museum of Natural History, 200 Central Park West, New York, NY, USA
| | - F N Pupim
- Departamento de Ciências Ambientais, Universidade Federal de São Paulo (UNIFESP), Rua São Nicolau 210, Diadema, SP, Brazil
| | - D J Bertassoli
- School of Arts, Sciences and Humanities, University of São Paulo, Av. Arlindo Bettio 1000, São Paulo, SP, Brazil
| | - D F Souza
- Gerência de Hidrologia e Gestão Territorial, Serviço Geológico do Brasil (CPRM-SGB), Rua Costa 55, São Paulo, SP, Brazil
| | - D F Cunha
- Programa de Pós-Graduação em Geoquímica e Geotectônica, Institute of Geosciences, University of São Paulo, Rua do Lago 562, São Paulo, SP, Brazil
| | - C E Mazoca
- Institute of Geosciences, University of São Paulo, Rua do Lago 562, São Paulo, SP, Brazil
| | - M P Ferreira
- Programa de Pós-Graduação em Geoquímica e Geotectônica, Institute of Geosciences, University of São Paulo, Rua do Lago 562, São Paulo, SP, Brazil
| | - C H Grohmann
- Institute of Energy and Environment, University of São Paulo, Av. Prof. Luciano Gualberto 1289, São Paulo, SP, Brazil
| | - I D Wahnfried
- Departamento de Geociências, Universidade Federal do Amazonas, Av. Gen. Rodrigo Octávio Jordão Ramos 6200, Manaus, AM, Brazil
| | - C M Chiessi
- School of Arts, Sciences and Humanities, University of São Paulo, Av. Arlindo Bettio 1000, São Paulo, SP, Brazil
| | - F W Cruz
- Institute of Geosciences, University of São Paulo, Rua do Lago 562, São Paulo, SP, Brazil
| | - R P Almeida
- Institute of Geosciences, University of São Paulo, Rua do Lago 562, São Paulo, SP, Brazil
| | - C C Ribas
- Programa de Pós-Graduação em Biologia (Ecologia), Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo 2936, Manaus, AM, Brazil.,Coordenação de Biodiversidade, Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo 2936, Manaus, AM, Brazil
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8
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Zhong L, Zhu Y, Olsen KM. Hard versus soft selective sweeps during domestication and improvement in soybean. Mol Ecol 2022; 31:3137-3153. [PMID: 35366022 DOI: 10.1111/mec.16454] [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: 01/06/2022] [Revised: 03/16/2022] [Accepted: 03/28/2022] [Indexed: 11/28/2022]
Abstract
Genome scans for selection can provide an efficient way to dissect the genetic basis of domestication traits and understand mechanisms of adaptation during crop evolution. Selection involving soft sweeps (simultaneous selection for multiple alleles) is probably common in plant genomes but is under-studied, and few if any studies have systematically scanned for soft sweeps in the context of crop domestication. Using genome resequencing data from 302 wild and domesticated soybean accessions, we conducted selection scans using five widely employed statistics to identify selection candidates under classical (hard) and soft sweeps. Across the genome, inferred hard sweeps are predominant in domesticated soybean landraces and improved varieties, whereas soft sweeps are more prevalent in a representative subpopulation of the wild ancestor. Six domestication-related genes, representing both hard and soft sweeps and different stages of domestication, were used as positive controls to assess the detectability of domestication-associated sweeps. Performance of various test statistics suggests that differentiation-based (FST ) methods are robust for detecting complete hard sweeps, and that LD-based strategies perform well for identifying recent/ongoing sweeps; however, none of the test statistics detected a known soft sweep we previously documented at the domestication gene Dt1. Genome scans yielded a set of 66 candidate loci that were identified by both differentiation-based and LD-based (iHH) methods; notably, this shared set overlaps with many previously identified QTLs for soybean domestication/improvement traits. Collectively, our results will help to advance genetic characterizations of soybean domestication traits and shed light on selection modes involved in adaptation in domesticated plant species.
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Affiliation(s)
- Limei Zhong
- Key Laboratory of Molecular Biology and Gene Engineering in Jiangxi, School of Life Sciences, Nanchang University, Nanchang, China
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Youlin Zhu
- Key Laboratory of Molecular Biology and Gene Engineering in Jiangxi, School of Life Sciences, Nanchang University, Nanchang, China
| | - Kenneth M Olsen
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
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9
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Conservation Genomics of Two Threatened Subspecies of Northern Giraffe: The West African and the Kordofan Giraffe. Genes (Basel) 2022; 13:genes13020221. [PMID: 35205265 PMCID: PMC8872558 DOI: 10.3390/genes13020221] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 11/17/2022] Open
Abstract
Three of the four species of giraffe are threatened, particularly the northern giraffe (Giraffa camelopardalis), which collectively have the smallest known wild population estimates. Among the three subspecies of the northern giraffe, the West African giraffe (Giraffa camelopardalis peralta) had declined to 49 individuals by 1996 and only recovered due to conservation efforts undertaken in the past 25 years, while the Kordofan giraffe (Giraffa camelopardalis antiquorum) remains at <2300 individuals distributed in small, isolated populations over a large geographical range in Central Africa. These combined factors could lead to genetically depauperated populations. We analyzed 119 mitochondrial sequences and 26 whole genomes of northern giraffe individuals to investigate their population structure and assess the recent demographic history and current genomic diversity of West African and Kordofan giraffe. Phylogenetic and population structure analyses separate the three subspecies of northern giraffe and suggest genetic differentiation between populations from eastern and western areas of the Kordofan giraffe’s range. Both West African and Kordofan giraffe show a gradual decline in effective population size over the last 10 ka and have moderate genome-wide heterozygosity compared to other giraffe species. Recent inbreeding levels are higher in the West African giraffe and in Kordofan giraffe from Garamba National Park, Democratic Republic of Congo. Although numbers for both West African and some populations of Kordofan giraffe have increased in recent years, the threat of habitat loss, climate change impacts, and illegal hunting persists. Thus, future conservation actions should consider close genetic monitoring of populations to detect and, where practical, counteract negative trends that might develop.
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10
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Teixeira H, Montade V, Salmona J, Metzger J, Bremond L, Kasper T, Daut G, Rouland S, Ranarilalatiana S, Rakotondravony R, Chikhi L, Behling H, Radespiel U. Past environmental changes affected lemur population dynamics prior to human impact in Madagascar. Commun Biol 2021; 4:1084. [PMID: 34526636 PMCID: PMC8443640 DOI: 10.1038/s42003-021-02620-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 08/31/2021] [Indexed: 02/08/2023] Open
Abstract
Quaternary climatic changes have been invoked as important drivers of species diversification worldwide. However, the impact of such changes on vegetation and animal population dynamics in tropical regions remains debated. To overcome this uncertainty, we integrated high-resolution paleoenvironmental reconstructions from a sedimentary record covering the past 25,000 years with demographic inferences of a forest-dwelling primate species (Microcebus arnholdi), in northern Madagascar. Result comparisons suggest that climate changes through the African Humid Period (15.2 - 5.5 kyr) strongly affected the demographic dynamics of M. arnholdi. We further inferred a population decline in the last millennium which was likely shaped by the combination of climatic and anthropogenic impacts. Our findings demonstrate that population fluctuations in Malagasy wildlife were substantial prior to a significant human impact. This provides a critical knowledge of climatically driven, environmental and ecological changes in the past, which is essential to better understand the dynamics and resilience of current biodiversity.
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Affiliation(s)
- Helena Teixeira
- grid.412970.90000 0001 0126 6191Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559 Hannover, Germany
| | - Vincent Montade
- grid.7450.60000 0001 2364 4210University of Goettingen, Department of Palynology and Climate Dynamics, Untere Karspüle 2, 37073 Goettingen, Germany ,grid.462058.d0000 0001 2188 7059ISEM, Université Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier, France
| | - Jordi Salmona
- grid.15781.3a0000 0001 0723 035XCNRS-UPS-IRD, UMR5174, Laboratoire Évolution & Diversité Biologique, Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse, France
| | - Julia Metzger
- grid.412970.90000 0001 0126 6191Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Bünteweg 17p, 30559 Hannover, Germany ,grid.419538.20000 0000 9071 0620Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195 Berlin, Germany
| | - Laurent Bremond
- grid.462058.d0000 0001 2188 7059ISEM, Université Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier, France
| | - Thomas Kasper
- grid.9613.d0000 0001 1939 2794Friedrich-Schiller-University Jena, Department of Physical Geography, Loebdergraben 32, 07743 Jena, Germany
| | - Gerhard Daut
- grid.9613.d0000 0001 1939 2794Friedrich-Schiller-University Jena, Department of Physical Geography, Loebdergraben 32, 07743 Jena, Germany
| | - Sylvie Rouland
- grid.462058.d0000 0001 2188 7059ISEM, Université Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier, France
| | - Sandratrinirainy Ranarilalatiana
- grid.440419.c0000 0001 2165 5629Université d’Antananarivo, Faculté des Sciences, Mention Biologie et Ecologie Végétale, Laboratoire de Palynologie Appliquée, B.P 905 - 101, Antananarivo, Madagascar
| | - Romule Rakotondravony
- Ecole Doctorale Ecosystèmes Naturels (EDEN), University of Mahajanga, 5 Rue Georges V - Immeuble KAKAL, Mahajanga Be, B.P. 652, Mahajanga, 401 Madagascar ,Faculté des Sciences, de Technologies et de l’Environnement, University of Mahajanga, 5 Rue Georges V - Immeuble KAKAL, Mahajanga Be, B.P. 652, Mahajanga, 401 Madagascar
| | - Lounès Chikhi
- grid.418346.c0000 0001 2191 3202Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, P-2780-156 Oeiras, Portugal ,grid.4399.70000000122879528Laboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 route de Narbonne, Bât. 4R1, 31062 Toulouse cedex 9, France
| | - Hermann Behling
- grid.7450.60000 0001 2364 4210University of Goettingen, Department of Palynology and Climate Dynamics, Untere Karspüle 2, 37073 Goettingen, Germany
| | - Ute Radespiel
- grid.412970.90000 0001 0126 6191Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559 Hannover, Germany
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11
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Jensen EL, Gaughran SJ, Garrick RC, Russello MA, Caccone A. Demographic history and patterns of molecular evolution from whole genome sequencing in the radiation of Galapagos giant tortoises. Mol Ecol 2021; 30:6325-6339. [PMID: 34510620 DOI: 10.1111/mec.16176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 08/19/2021] [Accepted: 08/23/2021] [Indexed: 12/23/2022]
Abstract
Whole genome sequencing provides deep insights into the evolutionary history of a species, including patterns of diversity, signals of selection, and historical demography. When applied to closely related taxa with a wealth of background knowledge, population genomics provides a comparative context for interpreting population genetic summary statistics and comparing empirical results with the expectations of population genetic theory. The Galapagos giant tortoises (Chelonoidis spp.), an iconic rapid and recent radiation, offer such an opportunity. Here, we sequenced whole genomes from three individuals of the 12 extant lineages of Galapagos giant tortoise and estimate diversity measures and reconstruct changes in coalescent rate over time. We also compare the number of derived alleles in each lineage to infer how synonymous and nonsynonymous mutation accumulation rates correlate with population size and life history traits. Remarkably, we find that patterns of molecular evolution are similar within individuals of the same lineage, but can differ significantly among lineages, reinforcing the evolutionary distinctiveness of the Galapagos giant tortoise species. Notably, differences in mutation accumulation among lineages do not align with simple population genetic predictions, suggesting that the drivers of purifying selection are more complex than is currently appreciated. By integrating results from earlier population genetic and phylogeographic studies with new findings from the analysis of whole genomes, we provide the most in-depth insights to date on the evolution of Galapagos giant tortoises, and identify discrepancies between expectation from population genetic theory and empirical data that warrant further scrutiny.
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Affiliation(s)
- Evelyn L Jensen
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA
| | - Stephen J Gaughran
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA
| | - Ryan C Garrick
- Department of Biology, University of Mississippi, Oxford, Mississippi, USA
| | - Michael A Russello
- Department of Biology, University of British Columbia, Okanagan Campus, Kelowna, British Columbia, Canada
| | - Adalgisa Caccone
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA
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12
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Kess T, Dempson JB, Lehnert SJ, Layton KKS, Einfeldt A, Bentzen P, Salisbury SJ, Messmer AM, Duffy S, Ruzzante DE, Nugent CM, Ferguson MM, Leong JS, Koop BF, O'Connell MF, Bradbury IR. Genomic basis of deep-water adaptation in Arctic Charr (Salvelinus alpinus) morphs. Mol Ecol 2021; 30:4415-4432. [PMID: 34152667 DOI: 10.1111/mec.16033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 05/28/2021] [Accepted: 06/03/2021] [Indexed: 12/30/2022]
Abstract
The post-glacial colonization of Gander Lake in Newfoundland, Canada, by Arctic Charr (Salvelinus alpinus) provides the opportunity to study the genomic basis of adaptation to extreme deep-water environments. Colonization of deep-water (>50 m) habitats often requires extensive adaptation to cope with novel environmental challenges from high hydrostatic pressure, low temperature, and low light, but the genomic mechanisms underlying evolution in these environments are rarely known. Here, we compare genomic divergence between a deep-water morph adapted to depths of up to 288 m and a larger, piscivorous pelagic morph occupying shallower depths. Using both a SNP array and resequencing of whole nuclear and mitochondrial genomes, we find clear genetic divergence (FST = 0.11-0.15) between deep and shallow water morphs, despite an absence of morph divergence across the mitochondrial genome. Outlier analyses identified many diverged genomic regions containing genes enriched for processes such as gene expression and DNA repair, cardiac function, and membrane transport. Detection of putative copy number variants (CNVs) uncovered 385 genes with CNVs distinct to piscivorous morphs, and 275 genes with CNVs distinct to deep-water morphs, enriched for processes associated with synapse assembly. Demographic analyses identified evidence for recent and local morph divergence, and ongoing reductions in diversity consistent with postglacial colonization. Together, these results show that Arctic Charr morph divergence has occurred through genome-wide differentiation and elevated divergence of genes underlying multiple cellular and physiological processes, providing insight into the genomic basis of adaptation in a deep-water habitat following postglacial recolonization.
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Affiliation(s)
- Tony Kess
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - J Brian Dempson
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Sarah J Lehnert
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Kara K S Layton
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Anthony Einfeldt
- Department of Biology, Dalhousie University, Halifax, NS, Canada
| | - Paul Bentzen
- Department of Biology, Dalhousie University, Halifax, NS, Canada
| | | | - Amber M Messmer
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Steven Duffy
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | | | - Cameron M Nugent
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
| | - Moira M Ferguson
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
| | - Jong S Leong
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Ben F Koop
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Michael F O'Connell
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Ian R Bradbury
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
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13
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Bourgeois YXC, Warren BH. An overview of current population genomics methods for the analysis of whole-genome resequencing data in eukaryotes. Mol Ecol 2021; 30:6036-6071. [PMID: 34009688 DOI: 10.1111/mec.15989] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 04/26/2021] [Accepted: 05/11/2021] [Indexed: 01/01/2023]
Abstract
Characterizing the population history of a species and identifying loci underlying local adaptation is crucial in functional ecology, evolutionary biology, conservation and agronomy. The constant improvement of high-throughput sequencing techniques has facilitated the production of whole genome data in a wide range of species. Population genomics now provides tools to better integrate selection into a historical framework, and take into account selection when reconstructing demographic history. However, this improvement has come with a profusion of analytical tools that can confuse and discourage users. Such confusion limits the amount of information effectively retrieved from complex genomic data sets, and impairs the diffusion of the most recent analytical tools into fields such as conservation biology. It may also lead to redundancy among methods. To address these isssues, we propose an overview of more than 100 state-of-the-art methods that can deal with whole genome data. We summarize the strategies they use to infer demographic history and selection, and discuss some of their limitations. A website listing these methods is available at www.methodspopgen.com.
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Affiliation(s)
| | - Ben H Warren
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, UA, CP 51, Paris, France
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14
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Sjödin P, McKenna J, Jakobsson M. Estimating divergence times from DNA sequences. Genetics 2021; 217:iyab008. [PMID: 33769498 PMCID: PMC8049563 DOI: 10.1093/genetics/iyab008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 12/11/2020] [Indexed: 11/23/2022] Open
Abstract
The patterns of genetic variation within and among individuals and populations can be used to make inferences about the evolutionary forces that generated those patterns. Numerous population genetic approaches have been developed in order to infer evolutionary history. Here, we present the "Two-Two (TT)" and the "Two-Two-outgroup (TTo)" methods; two closely related approaches for estimating divergence time based in coalescent theory. They rely on sequence data from two haploid genomes (or a single diploid individual) from each of two populations. Under a simple population-divergence model, we derive the probabilities of the possible sample configurations. These probabilities form a set of equations that can be solved to obtain estimates of the model parameters, including population split times, directly from the sequence data. This transparent and computationally efficient approach to infer population divergence time makes it possible to estimate time scaled in generations (assuming a mutation rate), and not as a compound parameter of genetic drift. Using simulations under a range of demographic scenarios, we show that the method is relatively robust to migration and that the TTo method can alleviate biases that can appear from drastic ancestral population size changes. We illustrate the utility of the approaches with some examples, including estimating split times for pairs of human populations as well as providing further evidence for the complex relationship among Neandertals and Denisovans and their ancestors.
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Affiliation(s)
- Per Sjödin
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18 A, Uppsala 752 36, Sweden
| | - James McKenna
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18 A, Uppsala 752 36, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18 A, Uppsala 752 36, Sweden
- Science for Life Laboratory, Uppsala University, Norbyvägen 18 A, Uppsala 752 36, Sweden
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15
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Johri P, Riall K, Becher H, Excoffier L, Charlesworth B, Jensen JD. The Impact of Purifying and Background Selection on the Inference of Population History: Problems and Prospects. Mol Biol Evol 2021; 38:2986-3003. [PMID: 33591322 PMCID: PMC8233493 DOI: 10.1093/molbev/msab050] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Current procedures for inferring population history generally assume complete neutrality—that is, they neglect both direct selection and the effects of selection on linked sites. We here examine how the presence of direct purifying selection and background selection may bias demographic inference by evaluating two commonly-used methods (MSMC and fastsimcoal2), specifically studying how the underlying shape of the distribution of fitness effects and the fraction of directly selected sites interact with demographic parameter estimation. The results show that, even after masking functional genomic regions, background selection may cause the mis-inference of population growth under models of both constant population size and decline. This effect is amplified as the strength of purifying selection and the density of directly selected sites increases, as indicated by the distortion of the site frequency spectrum and levels of nucleotide diversity at linked neutral sites. We also show how simulated changes in background selection effects caused by population size changes can be predicted analytically. We propose a potential method for correcting for the mis-inference of population growth caused by selection. By treating the distribution of fitness effect as a nuisance parameter and averaging across all potential realizations, we demonstrate that even directly selected sites can be used to infer demographic histories with reasonable accuracy.
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Affiliation(s)
- Parul Johri
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Kellen Riall
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Hannes Becher
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Berne, Berne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Brian Charlesworth
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Jeffrey D Jensen
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
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16
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Johri P, Riall K, Becher H, Excoffier L, Charlesworth B, Jensen JD. The impact of purifying and background selection on the inference of population history: problems and prospects. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 33501439 PMCID: PMC7836109 DOI: 10.1101/2020.04.28.066365] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Current procedures for inferring population history generally assume complete neutrality - that is, they neglect both direct selection and the effects of selection on linked sites. We here examine how the presence of direct purifying selection and background selection may bias demographic inference by evaluating two commonly-used methods (MSMC and fastsimcoal2), specifically studying how the underlying shape of the distribution of fitness effects (DFE) and the fraction of directly selected sites interact with demographic parameter estimation. The results show that, even after masking functional genomic regions, background selection may cause the mis-inference of population growth under models of both constant population size and decline. This effect is amplified as the strength of purifying selection and the density of directly selected sites increases, as indicated by the distortion of the site frequency spectrum and levels of nucleotide diversity at linked neutral sites. We also show how simulated changes in background selection effects caused by population size changes can be predicted analytically. We propose a potential method for correcting for the mis-inference of population growth caused by selection. By treating the DFE as a nuisance parameter and averaging across all potential realizations, we demonstrate that even directly selected sites can be used to infer demographic histories with reasonable accuracy.
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Affiliation(s)
- Parul Johri
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Kellen Riall
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Hannes Becher
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, EH9 3FL, United Kingdom
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Berne, Berne 3012, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Brian Charlesworth
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, EH9 3FL, United Kingdom
| | - Jeffrey D Jensen
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
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17
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Morin PA, Archer FI, Avila CD, Balacco JR, Bukhman YV, Chow W, Fedrigo O, Formenti G, Fronczek JA, Fungtammasan A, Gulland FMD, Haase B, Peter Heide-Jorgensen M, Houck ML, Howe K, Misuraca AC, Mountcastle J, Musser W, Paez S, Pelan S, Phillippy A, Rhie A, Robinson J, Rojas-Bracho L, Rowles TK, Ryder OA, Smith CR, Stevenson S, Taylor BL, Teilmann J, Torrance J, Wells RS, Westgate AJ, Jarvis ED. Reference genome and demographic history of the most endangered marine mammal, the vaquita. Mol Ecol Resour 2020; 21:1008-1020. [PMID: 33089966 PMCID: PMC8247363 DOI: 10.1111/1755-0998.13284] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/08/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
The vaquita is the most critically endangered marine mammal, with fewer than 19 remaining in the wild. First described in 1958, the vaquita has been in rapid decline for more than 20 years resulting from inadvertent deaths due to the increasing use of large-mesh gillnets. To understand the evolutionary and demographic history of the vaquita, we used combined long-read sequencing and long-range scaffolding methods with long- and short-read RNA sequencing to generate a near error-free annotated reference genome assembly from cell lines derived from a female individual. The genome assembly consists of 99.92% of the assembled sequence contained in 21 nearly gapless chromosome-length autosome scaffolds and the X-chromosome scaffold, with a scaffold N50 of 115 Mb. Genome-wide heterozygosity is the lowest (0.01%) of any mammalian species analysed to date, but heterozygosity is evenly distributed across the chromosomes, consistent with long-term small population size at genetic equilibrium, rather than low diversity resulting from a recent population bottleneck or inbreeding. Historical demography of the vaquita indicates long-term population stability at less than 5,000 (Ne) for over 200,000 years. Together, these analyses indicate that the vaquita genome has had ample opportunity to purge highly deleterious alleles and potentially maintain diversity necessary for population health.
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Affiliation(s)
- Phillip A Morin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Frederick I Archer
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Catherine D Avila
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | - Jennifer R Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI, USA
| | | | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Julie A Fronczek
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Marlys L Houck
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | - Ann C Misuraca
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Sadye Paez
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | | | - Adam Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, CA, USA
| | | | - Teri K Rowles
- Office of Protected Resources, National Marine Fisheries Service, NOAA, Silver Spring, MD, USA
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Barbara L Taylor
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Jonas Teilmann
- Marine Mammal Research, Department of Bioscience, Aarhus University, Roskilde, Denmark
| | | | - Randall S Wells
- Chicago Zoological Society's Sarasota Dolphin Research Program, c/o Mote Marine Laboratory, Sarasota, FL, USA
| | | | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
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18
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Bourgeois Y, Boissinot S. On the Population Dynamics of Junk: A Review on the Population Genomics of Transposable Elements. Genes (Basel) 2019; 10:genes10060419. [PMID: 31151307 PMCID: PMC6627506 DOI: 10.3390/genes10060419] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/05/2019] [Accepted: 05/21/2019] [Indexed: 01/18/2023] Open
Abstract
Transposable elements (TEs) play an important role in shaping genomic organization and structure, and may cause dramatic changes in phenotypes. Despite the genetic load they may impose on their host and their importance in microevolutionary processes such as adaptation and speciation, the number of population genetics studies focused on TEs has been rather limited so far compared to single nucleotide polymorphisms (SNPs). Here, we review the current knowledge about the dynamics of transposable elements at recent evolutionary time scales, and discuss the mechanisms that condition their abundance and frequency. We first discuss non-adaptive mechanisms such as purifying selection and the variable rates of transposition and elimination, and then focus on positive and balancing selection, to finally conclude on the potential role of TEs in causing genomic incompatibilities and eventually speciation. We also suggest possible ways to better model TEs dynamics in a population genomics context by incorporating recent advances in TEs into the rich information provided by SNPs about the demography, selection, and intrinsic properties of genomes.
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Affiliation(s)
- Yann Bourgeois
- New York University Abu Dhabi, P.O. 129188, Saadiyat Island, Abu Dhabi, United Arab Emirates.
| | - Stéphane Boissinot
- New York University Abu Dhabi, P.O. 129188, Saadiyat Island, Abu Dhabi, United Arab Emirates.
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19
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Smith O, Nicholson WV, Kistler L, Mace E, Clapham A, Rose P, Stevens C, Ware R, Samavedam S, Barker G, Jordan D, Fuller DQ, Allaby RG. A domestication history of dynamic adaptation and genomic deterioration in Sorghum. NATURE PLANTS 2019; 5:369-379. [PMID: 30962527 DOI: 10.1038/s41477-019-0397-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Accepted: 02/28/2019] [Indexed: 05/20/2023]
Abstract
The evolution of domesticated cereals was a complex interaction of shifting selection pressures and repeated episodes of introgression. Genomes of archaeological crops have the potential to reveal these dynamics without being obscured by recent breeding or introgression. We report a temporal series of archaeogenomes of the crop sorghum (Sorghum bicolor) from a single locality in Egyptian Nubia. These data indicate no evidence for the effects of a domestication bottleneck, but instead reveal a steady decline in genetic diversity over time coupled with an accumulating mutation load. Dynamic selection pressures acted sequentially to shape architectural and nutritional domestication traits and to facilitate adaptation to the local environment. Later introgression between sorghum races allowed the exchange of adaptive traits and achieved mutual genomic rescue through an ameliorated mutation load. These results reveal a model of domestication in which genomic adaptation and deterioration were not focused on the initial stages of domestication but occurred throughout the history of cultivation.
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Affiliation(s)
- Oliver Smith
- School of Life Sciences, University of Warwick, Coventry, UK
- Natural History Museum of Denmark, Copenhagen, Denmark
| | - William V Nicholson
- School of Life Sciences, University of Warwick, Coventry, UK
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Logan Kistler
- School of Life Sciences, University of Warwick, Coventry, UK
- Department of Anthropology, Smithsonian Institution, National Museum of Natural History, Washington, D.C., USA
| | - Emma Mace
- Department of Agriculture, Fisheries and Forestry Queensland (DAFFQ), Warwick, Queensland, Australia
| | - Alan Clapham
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Pamela Rose
- The Austrian Archaeological Institute, Cairo Branch, Zamalek, Cairo, Egypt
| | | | - Roselyn Ware
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Siva Samavedam
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Guy Barker
- School of Life Sciences, University of Warwick, Coventry, UK
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, Queensland, Australia
| | | | - Robin G Allaby
- School of Life Sciences, University of Warwick, Coventry, UK.
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20
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Armstrong EE, Taylor RW, Prost S, Blinston P, van der Meer E, Madzikanda H, Mufute O, Mandisodza-Chikerema R, Stuelpnagel J, Sillero-Zubiri C, Petrov D. Cost-effective assembly of the African wild dog (Lycaon pictus) genome using linked reads. Gigascience 2019; 8:5140148. [PMID: 30346553 PMCID: PMC6350039 DOI: 10.1093/gigascience/giy124] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 10/07/2018] [Indexed: 01/07/2023] Open
Abstract
Background A high-quality reference genome assembly is a valuable tool for the study of non-model organisms. Genomic techniques can provide important insights about past population sizes and local adaptation and can aid in the development of breeding management plans. This information is important for fields such as conservation genetics, where endangered species require critical and immediate attention. However, funding for genomic-based methods can be sparse for conservation projects, as costs for general species management can consume budgets. Findings Here, we report the generation of high-quality reference genomes for the African wild dog (Lycaon pictus) at a low cost (<$3000), thereby facilitating future studies of this endangered canid. We generated assemblies for three individuals using the linked-read 10x Genomics Chromium system. The most continuous assembly had a scaffold and contig N50 of 21 Mb and 83 Kb, respectively, and completely reconstructed 95% of a set of conserved mammalian genes. Additionally, we estimate the heterozygosity and demographic history of African wild dogs, revealing that although they have historically low effective population sizes, heterozygosity remains high. Conclusions We show that 10x Genomics Chromium data can be used to effectively generate high-quality genomes from Illumina short-read data of intermediate coverage (∼25x–50x). Interestingly, the wild dog shows higher heterozygosity than other species of conservation concern, possibly due to its behavioral ecology. The availability of reference genomes for non-model organisms will facilitate better genetic monitoring of threatened species such as the African wild dog and help conservationists to better understand the ecology and adaptability of those species in a changing environment.
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Affiliation(s)
- Ellie E Armstrong
- Program for Conservation Genomics, Department of Biology, 385 Serra Mall, Stanford University, Stanford, CA, 94305, USA
| | - Ryan W Taylor
- Program for Conservation Genomics, Department of Biology, 385 Serra Mall, Stanford University, Stanford, CA, 94305, USA
| | - Stefan Prost
- Program for Conservation Genomics, Department of Biology, 385 Serra Mall, Stanford University, Stanford, CA, 94305, USA.,Department of Integrative Biology, 3040 Valley Life Science Building, University of California, Berkeley, CA, 94720-3140, USA
| | - Peter Blinston
- Painted Dog Conservation, PO Box 72, Dete, 00263, Zimbabwe
| | | | | | - Olivia Mufute
- The Zimbabwe Parks & Wildlife Management Authority, Corner Sandringham & Borrowdale Roads, Botanical Gardens. Causeway, Harare, 00263, Zimbabwe
| | - Roseline Mandisodza-Chikerema
- The Zimbabwe Parks & Wildlife Management Authority, Corner Sandringham & Borrowdale Roads, Botanical Gardens. Causeway, Harare, 00263, Zimbabwe
| | - John Stuelpnagel
- 10x Genomics, Inc., 7068 Koll Center Pkwy #401, Pleasanton, CA, 94566, USA
| | - Claudio Sillero-Zubiri
- Wildlife Conservation Research Unit, Zoology, University of Oxford, The Recanati-Kaplan Centre, Abingdon Road, Tubney House, Tubney, UK014
| | - Dmitri Petrov
- Program for Conservation Genomics, Department of Biology, 385 Serra Mall, Stanford University, Stanford, CA, 94305, USA
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21
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Beichman AC, Huerta-Sanchez E, Lohmueller KE. Using Genomic Data to Infer Historic Population Dynamics of Nonmodel Organisms. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2018. [DOI: 10.1146/annurev-ecolsys-110617-062431] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Genome sequence data are now being routinely obtained from many nonmodel organisms. These data contain a wealth of information about the demographic history of the populations from which they originate. Many sophisticated statistical inference procedures have been developed to infer the demographic history of populations from this type of genomic data. In this review, we discuss the different statistical methods available for inference of demography, providing an overview of the underlying theory and logic behind each approach. We also discuss the types of data required and the pros and cons of each method. We then discuss how these methods have been applied to a variety of nonmodel organisms. We conclude by presenting some recommendations for researchers looking to use genomic data to infer demographic history.
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Affiliation(s)
- Annabel C. Beichman
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA
| | - Emilia Huerta-Sanchez
- Department of Molecular and Cell Biology, University of California, Merced, California 95343, USA
- Current affiliation: Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912, USA
| | - Kirk E. Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA
- Interdepartmental Program in Bioinformatics and Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
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22
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Pasquesi GIM, Adams RH, Card DC, Schield DR, Corbin AB, Perry BW, Reyes-Velasco J, Ruggiero RP, Vandewege MW, Shortt JA, Castoe TA. Squamate reptiles challenge paradigms of genomic repeat element evolution set by birds and mammals. Nat Commun 2018; 9:2774. [PMID: 30018307 PMCID: PMC6050309 DOI: 10.1038/s41467-018-05279-1] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 06/25/2018] [Indexed: 12/14/2022] Open
Abstract
Broad paradigms of vertebrate genomic repeat element evolution have been largely shaped by analyses of mammalian and avian genomes. Here, based on analyses of genomes sequenced from over 60 squamate reptiles (lizards and snakes), we show that patterns of genomic repeat landscape evolution in squamates challenge such paradigms. Despite low variance in genome size, squamate genomes exhibit surprisingly high variation among species in abundance (ca. 25–73% of the genome) and composition of identifiable repeat elements. We also demonstrate that snake genomes have experienced microsatellite seeding by transposable elements at a scale unparalleled among eukaryotes, leading to some snake genomes containing the highest microsatellite content of any known eukaryote. Our analyses of transposable element evolution across squamates also suggest that lineage-specific variation in mechanisms of transposable element activity and silencing, rather than variation in species-specific demography, may play a dominant role in driving variation in repeat element landscapes across squamate phylogeny. Large-scale patterns of genomic repeat element evolution have been studied mainly in birds and mammals. Here, the authors analyze the genomes of over 60 squamate reptiles and show high variation in repeat elements compared to mammals and birds, and particularly high microsatellite seeding in snakes.
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Affiliation(s)
- Giulia I M Pasquesi
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA
| | - Richard H Adams
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA
| | - Daren C Card
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA
| | - Drew R Schield
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA
| | - Andrew B Corbin
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA
| | - Blair W Perry
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA
| | - Jacobo Reyes-Velasco
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA.,Department of Biology, New York University Abu Dhabi, Saadiyat Island, United Arab Emirates
| | - Robert P Ruggiero
- Department of Biology, New York University Abu Dhabi, Saadiyat Island, United Arab Emirates
| | - Michael W Vandewege
- Department of Biology, Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, 19122, USA
| | - Jonathan A Shortt
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Todd A Castoe
- Department of Biology, University of Texas at Arlington, 501S. Nedderman Drive, Arlington, TX, 76019, USA.
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Comparison of Single Genome and Allele Frequency Data Reveals Discordant Demographic Histories. G3-GENES GENOMES GENETICS 2017; 7:3605-3620. [PMID: 28893846 PMCID: PMC5677151 DOI: 10.1534/g3.117.300259] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Inference of demographic history from genetic data is a primary goal of population genetics of model and nonmodel organisms. Whole genome-based approaches such as the pairwise/multiple sequentially Markovian coalescent methods use genomic data from one to four individuals to infer the demographic history of an entire population, while site frequency spectrum (SFS)-based methods use the distribution of allele frequencies in a sample to reconstruct the same historical events. Although both methods are extensively used in empirical studies and perform well on data simulated under simple models, there have been only limited comparisons of them in more complex and realistic settings. Here we use published demographic models based on data from three human populations (Yoruba, descendants of northwest-Europeans, and Han Chinese) as an empirical test case to study the behavior of both inference procedures. We find that several of the demographic histories inferred by the whole genome-based methods do not predict the genome-wide distribution of heterozygosity, nor do they predict the empirical SFS. However, using simulated data, we also find that the whole genome methods can reconstruct the complex demographic models inferred by SFS-based methods, suggesting that the discordant patterns of genetic variation are not attributable to a lack of statistical power, but may reflect unmodeled complexities in the underlying demography. More generally, our findings indicate that demographic inference from a small number of genomes, routine in genomic studies of nonmodel organisms, should be interpreted cautiously, as these models cannot recapitulate other summaries of the data.
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