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Gao Y, Liu S, Gutang Q, Li C, Lin X, Liang B, Li P, Lin J, Liu W. Chromosome-level genome assembly of Indo-Pacific king mackerel (Scomberomorus guttatus). Sci Data 2024; 11:1224. [PMID: 39537638 PMCID: PMC11561338 DOI: 10.1038/s41597-024-04110-5] [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: 04/24/2024] [Accepted: 11/07/2024] [Indexed: 11/16/2024] Open
Abstract
The Indo-Pacific king mackerel, scientifically known as Scomberomorus guttatus, is a valued marine species that holds significant commercial importance in the Indo-Pacific region. However, the lack of genomic resources has hindered a comprehensive understanding of this species. In this study, we constructed a genome of Indo-Pacific king mackerel at the chromosome level using a combination of PacBio HiFi reads and a chromosome contact map (Hi-C). The resulting genome had high contig and scaffold N50 values of 8.84 Mb and 32.9 Mb, respectively. In the genome assembly, which is 797.66 Mb in size and consists of 24 chromosomes, we also identified 35.89% repetitive elements and predicted 25,886 protein-coding genes. Our study not only benefits to reveal the possible mechanism of adaptive evolution in this fish, but also offers insight for the future sustainable management of these valuable biological resources.
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Affiliation(s)
- Yan Gao
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Sailan Liu
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Qilin Gutang
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Chengzhang Li
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Xiaoqi Lin
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Bo Liang
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Ping Li
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
| | - Jianqing Lin
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China.
| | - Wenhua Liu
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, 515063, China
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2
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Backenstose NJC, MacGuigan DJ, Osborne CA, Bernal MA, Thomas EK, Normandeau E, Yule DL, Stott W, Ackiss AS, Albert VA, Bernatchez L, Krabbenhoft TJ. Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum. Commun Biol 2024; 7:978. [PMID: 39134631 PMCID: PMC11319351 DOI: 10.1038/s42003-024-06503-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 06/25/2024] [Indexed: 08/15/2024] Open
Abstract
The evolutionary histories of adaptive radiations can be marked by dramatic demographic fluctuations. However, the demographic histories of ecologically-linked co-diversifying lineages remain understudied. The Laurentian Great Lakes provide a unique system of two such radiations that are dispersed across depth gradients with a predator-prey relationship. We show that the North American Coregonus species complex ("ciscoes") radiated rapidly prior to the Last Glacial Maximum (80-90 kya), a globally warm period, followed by rapid expansion in population size. Similar patterns of demographic expansion were observed in the predator species, Lake Charr (Salvelinus namaycush), following a brief time lag, which we hypothesize was driven by predator-prey dynamics. Diversification of prey into deep water created ecological opportunities for the predators, facilitating their demographic expansion, which is consistent with an upward adaptive radiation cascade. This study provides a new timeline and environmental context for the origin of the Laurentian Great Lakes fish fauna, and firmly establishes this system as drivers of ecological diversification and rapid speciation through cyclical glaciation.
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Affiliation(s)
| | - Daniel J MacGuigan
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | | | - Moisés A Bernal
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
- Department of Biological Sciences, Auburn University, Auburn, AL, USA
| | | | - Eric Normandeau
- Plateforme de bio-informatique de l'IBIS (Institut de Biologie Intégrative et des Systèmes), Université Laval, Québec, G1V 0A6, Canada
| | - Daniel L Yule
- US Geological Survey, Lake Superior Biological Station, Great Lakes Science Center, Ashland, WI, USA
| | - Wendylee Stott
- Freshwater Institute, Fisheries and Oceans Canada, 501 University Crescent, Winnipeg, MB, R3T 2N6, Canada
| | - Amanda S Ackiss
- US Geological Survey, Great Lakes Science Center, Ann Arbor, MI, USA
| | - Victor A Albert
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, QC, Canada
| | - Trevor J Krabbenhoft
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA.
- RENEW Institute, University at Buffalo, Buffalo, NY, USA.
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3
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Coelho JFR, Mendes LDF, Di Dario F, Carvalho PH, Dias RM, Lima SMQ, Verba JT, Pereira RJ. Integration of genomic and ecological methods inform management of an undescribed, yet highly exploited, sardine species. Proc Biol Sci 2024; 291:20232746. [PMID: 38444338 PMCID: PMC10915539 DOI: 10.1098/rspb.2023.2746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/06/2024] [Indexed: 03/07/2024] Open
Abstract
Assessing genetic diversity within species is key for conservation strategies in the context of human-induced biotic changes. This is important in marine systems, where many species remain undescribed while being overfished, and conflicts between resource-users and conservation agencies are common. Combining niche modelling with population genomics can contribute to resolving those conflicts by identifying management units and understanding how past climatic cycles resulted in current patterns of genetic diversity. We addressed these issues on an undescribed but already overexploited species of sardine of the genus Harengula. We find that the species distribution is determined by salinity and depth, with a continuous distribution along the Brazilian mainland and two disconnected oceanic archipelagos. Genomic data indicate that such biogeographic barriers are associated with two divergent intraspecific lineages. Changes in habitat availability during the last glacial cycle led to different demographic histories among stocks. One coastal population experienced a 3.6-fold expansion, whereas an island-associated population contracted 3-fold, relative to the size of the ancestral population. Our results indicate that the island population should be managed separately from the coastal population, and that a Marine Protected Area covering part of the island population distribution can support the viability of this lineage.
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Affiliation(s)
- Jéssica Fernanda Ramos Coelho
- Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Avenida Senador Salgado Filho S/N, Campus Universitário, 59078-970, Natal/RN, Brazil
| | - Liana de Figueiredo Mendes
- Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Avenida Senador Salgado Filho S/N, Campus Universitário, 59078-970, Natal/RN, Brazil
| | - Fabio Di Dario
- Instituto de Biodiversidade e Sustentabilidade - Universidade Federal do Rio de Janeiro, Avenida São José do Barreto, 764, 27965-045, Macaé/RJ, Brazil
| | - Pedro Hollanda Carvalho
- Instituto de Biodiversidade e Sustentabilidade - Universidade Federal do Rio de Janeiro, Avenida São José do Barreto, 764, 27965-045, Macaé/RJ, Brazil
| | - Ricardo Marques Dias
- Museu Nacional, Universidade Federal do Rio de Janeiro, Quinta da Boa Vista - São Cristóvão, 20940-040, Rio de Janeiro/RJ, Brazil
| | - Sergio Maia Queiroz Lima
- Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Avenida Senador Salgado Filho S/N, Campus Universitário, 59078-970, Natal/RN, Brazil
| | - Julia Tovar Verba
- Evolutionary Biology, Ludwig Maximilian University of Munich, Grosshaderner Strasse 2, 82152, Planegg-Martinsried, Germany
| | - Ricardo J. Pereira
- Evolutionary Biology, Ludwig Maximilian University of Munich, Grosshaderner Strasse 2, 82152, Planegg-Martinsried, Germany
- Department of Zoology, State Museum of Natural History Stuttgart, Rosenstein 1–3, 70191, Stuttgart, Germany
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4
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Le MH, Morgan B, Lu MY, Moctezuma V, Burgos O, Huang JP. The genomes of Hercules beetles reveal putative adaptive loci and distinct demographic histories in pristine North American forests. Mol Ecol Resour 2024; 24:e13908. [PMID: 38063363 DOI: 10.1111/1755-0998.13908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 01/14/2023] [Accepted: 11/20/2023] [Indexed: 01/12/2024]
Abstract
Beetles, despite their remarkable biodiversity and a long history of research, remain lacking in reference genomes annotated with structural variations in loci of adaptive significance. We sequenced and assembled high-quality chromosome-level genomes of four Hercules beetles which exhibit divergence in male horn size and shape and body colouration. The four Hercules beetle genomes were assembled to 11 pseudo-chromosomes, where the three genomes assembled using Nanopore data (Dynastes grantii, D. hyllus and D. tityus) were mapped to the genome assembled using PacBio + Hi-C data (D. maya). We demonstrated a striking similarity in genome structure among the four species. This conservative genome structure may be attributed to our use of the D. maya assembly as the reference; however, it is worth noting that such a conservative genome structure is a recurring phenomenon among scarab beetles. We further identified homologues of nine and three candidate-gene families that may be associated with the evolution of horn structure and body colouration respectively. Structural variations in Scr and Ebony2 were detected and discussed for their putative impacts on generating morphological diversity in beetles. We also reconstructed the demographic histories of the four Hercules beetles using heterozygosity information from the diploid genomes. We found that the demographic histories of the beetles closely recapitulated historical changes in suitable forest habitats driven by climate shifts.
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Affiliation(s)
- My-Hanh Le
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Brett Morgan
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
- Smithsonian Environmental Research Center, Edgewater, Maryland, USA
| | - Mei-Yeh Lu
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Victor Moctezuma
- Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala de Xicohténcatl, Tlaxcala, Mexico
| | - Oscar Burgos
- Centro de Investigaciones Biológicas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Mexico
| | - Jen-Pan Huang
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
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5
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Mirchandani CD, Shultz AJ, Thomas GWC, Smith SJ, Baylis M, Arnold B, Corbett-Detig R, Enbody E, Sackton TB. A Fast, Reproducible, High-throughput Variant Calling Workflow for Population Genomics. Mol Biol Evol 2024; 41:msad270. [PMID: 38069903 PMCID: PMC10764099 DOI: 10.1093/molbev/msad270] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/27/2023] [Accepted: 11/22/2023] [Indexed: 01/05/2024] Open
Abstract
The increasing availability of genomic resequencing data sets and high-quality reference genomes across the tree of life present exciting opportunities for comparative population genomic studies. However, substantial challenges prevent the simple reuse of data across different studies and species, arising from variability in variant calling pipelines, data quality, and the need for computationally intensive reanalysis. Here, we present snpArcher, a flexible and highly efficient workflow designed for the analysis of genomic resequencing data in nonmodel organisms. snpArcher provides a standardized variant calling pipeline and includes modules for variant quality control, data visualization, variant filtering, and other downstream analyses. Implemented in Snakemake, snpArcher is user-friendly, reproducible, and designed to be compatible with high-performance computing clusters and cloud environments. To demonstrate the flexibility of this pipeline, we applied snpArcher to 26 public resequencing data sets from nonmammalian vertebrates. These variant data sets are hosted publicly to enable future comparative population genomic analyses. With its extensibility and the availability of public data sets, snpArcher will contribute to a broader understanding of genetic variation across species by facilitating the rapid use and reuse of large genomic data sets.
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Affiliation(s)
- Cade D Mirchandani
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Allison J Shultz
- Ornithology Department, Natural History Museum of Los Angeles County, Los Angeles, CA 90007, USA
| | | | - Sara J Smith
- Informatics Group, Harvard University, Cambridge, MA, USA
- Biology, Mount Royal University, Calgary, AB T3E 6K6, Canada
| | - Mara Baylis
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian Arnold
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Center for Statistics and Machine Learning, Princeton University, Princeton, NJ, USA
| | - Russ Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Erik Enbody
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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6
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Díaz-Arce N, Gagnaire PA, Richardson DE, Walter JF, Arnaud-Haond S, Fromentin JM, Brophy D, Lutcavage M, Addis P, Alemany F, Allman R, Deguara S, Fraile I, Goñi N, Hanke AR, Karakulak FS, Pacicco A, Quattro JM, Rooker JR, Arrizabalaga H, Rodríguez-Ezpeleta N. Unidirectional trans-Atlantic gene flow and a mixed spawning area shape the genetic connectivity of Atlantic bluefin tuna. Mol Ecol 2024; 33:e17188. [PMID: 37921120 DOI: 10.1111/mec.17188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 10/02/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023]
Abstract
The commercially important Atlantic bluefin tuna (Thunnus thynnus), a large migratory fish, has experienced notable recovery aided by accurate resource assessment and effective fisheries management efforts. Traditionally, this species has been perceived as consisting of eastern and western populations, spawning respectively in the Mediterranean Sea and the Gulf of Mexico, with mixing occurring throughout the Atlantic. However, recent studies have challenged this assumption by revealing weak genetic differentiation and identifying a previously unknown spawning ground in the Slope Sea used by Atlantic bluefin tuna of uncertain origin. To further understand the current and past population structure and connectivity of Atlantic bluefin tuna, we have assembled a unique dataset including thousands of genome-wide single-nucleotide polymorphisms (SNPs) from 500 larvae, young of the year and spawning adult samples covering the three spawning grounds and including individuals of other Thunnus species. Our analyses support two weakly differentiated but demographically connected ancestral populations that interbreed in the Slope Sea. Moreover, we also identified signatures of introgression from albacore (Thunnus alalunga) into the Atlantic bluefin tuna genome, exhibiting varied frequencies across spawning areas, indicating strong gene flow from the Mediterranean Sea towards the Slope Sea. We hypothesize that the observed genetic differentiation may be attributed to increased gene flow caused by a recent intensification of westward migration by the eastern population, which could have implications for the genetic diversity and conservation of western populations. Future conservation efforts should consider these findings to address potential genetic homogenization in the species.
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Affiliation(s)
- Natalia Díaz-Arce
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta, Spain
| | | | - David E Richardson
- Northeast Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), Narragansett, Rhode Island, USA
| | - John F Walter
- Southeast Fisheries Sciences Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), Miami, Florida, USA
| | | | | | - Deirdre Brophy
- Marine and Freshwater Research Center, Atlantic Technological University (ATU), Galway City, Ireland
| | - Molly Lutcavage
- Large Pelagics Research Center, School for the Environment, University of Massachusetts Boston, Gloucester, Massachusetts, USA
| | - Piero Addis
- Department of Environmental and Life Science, University of Cagliari, Cagliari, Italy
| | - Francisco Alemany
- International Commission for the Conservation of Atlantic Tunas, GBYP, Madrid, Spain
| | - Robert Allman
- National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City Laboratory, Panama City, Florida, USA
| | | | - Igaratza Fraile
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
| | - Nicolas Goñi
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
| | - Alex R Hanke
- St Andrews Biological Station, Fisheries and Oceans Canada, St. Andrews, New Brunswick, Canada
| | | | - Ashley Pacicco
- Cooperative Institute for Marine and Atmospheric Studies Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, Florida, USA
| | - Joseph M Quattro
- Department of Biological Sciences, University of South Carolina, Columbia, South Carolina, USA
| | - Jay R Rooker
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, Texas, USA
| | - Haritz Arrizabalaga
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
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7
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Zhao X, Huang Y, Bian C, You X, Zhang X, Chen J, Wang M, Hu C, Xu Y, Xu J, Shi Q. Whole genome sequencing of the fast-swimming Southern bluefin tuna ( Thunnus maccoyii). Front Genet 2022; 13:1020017. [PMID: 36406129 PMCID: PMC9670116 DOI: 10.3389/fgene.2022.1020017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/21/2022] [Indexed: 09/08/2024] Open
Abstract
The economically important Southern bluefin tuna (Thunnus maccoyii) is a world-famous fast-swimming fish, but its genomic information is limited. Here, we performed whole genome sequencing and assembled a draft genome for Southern bluefin tuna, aiming to generate useful genetic data for comparative functional prediction. The final genome assembly is 806.54 Mb, with scaffold and contig N50 values of 3.31 Mb and 67.38 kb, respectively. Genome completeness was evaluated to be 95.8%. The assembled genome contained 23,403 protein-coding genes and 236.1 Mb of repeat sequences (accounting for 29.27% of the entire assembly). Comparative genomics analyses of this fast-swimming tuna revealed that it had more than twice as many hemoglobin genes (18) as other relatively slow-moving fishes (such as seahorse, sunfish, and tongue sole). These hemoglobin genes are mainly localized in two big clusters (termed as "MNˮ and "LAˮ respectively), which is consistent with other reported fishes. However, Thr39 of beta-hemoglobin in the MN cluster, conserved in other fishes, was mutated as cysteine in tunas including the Southern bluefin tuna. Since hemoglobins are reported to transport oxygen efficiently for aerobic respiration, our genomic data suggest that both high copy numbers of hemoglobin genes and an adjusted function of the beta-hemoglobin may support the fast-swimming activity of tunas. In summary, we produced a primary genome assembly and predicted hemoglobin-related roles for the fast-swimming Southern bluefin tuna.
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Affiliation(s)
- Xiaomeng Zhao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
| | - Yu Huang
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
| | - Chao Bian
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
| | - Xinxin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
- Aquatic Breeding Center, BGI Marine, Shenzhen, China
| | - Xinhui Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
- Aquatic Breeding Center, BGI Marine, Shenzhen, China
| | - Jieming Chen
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
| | - Min Wang
- BGI Zhenjiang Institute of Hydrobiology, Zhenjiang, China
| | - Cancan Hu
- Aquatic Breeding Center, BGI Marine, Shenzhen, China
| | - Yun Xu
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
- Aquatic Breeding Center, BGI Marine, Shenzhen, China
- BGI Zhenjiang Institute of Hydrobiology, Zhenjiang, China
| | - Junmin Xu
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
- Aquatic Breeding Center, BGI Marine, Shenzhen, China
- BGI Zhenjiang Institute of Hydrobiology, Zhenjiang, China
| | - Qiong Shi
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, Shenzhen, China
- Aquatic Breeding Center, BGI Marine, Shenzhen, China
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8
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Muñoz-Abril L, Torres MDL, Valle CA, Rubianes-Landázuri F, Galván-Magaña F, Canty SWJ, Terán MA, Brandt M, Chaves JA, Grewe PM. Lack of genetic differentiation in yellowfin tuna has conservation implications in the Eastern Pacific Ocean. PLoS One 2022; 17:e0272713. [PMID: 36040879 PMCID: PMC9426925 DOI: 10.1371/journal.pone.0272713] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 07/25/2022] [Indexed: 11/19/2022] Open
Abstract
Yellowfin tuna, Thunnus albacares, is an important global fishery and of particular importance in the Eastern Pacific Ocean (EPO). According to the 2019 Inter-American Tropical Tuna Commission (IATTC) assessment, yellowfin tuna within the EPO is a single stock, and is being managed as one stock. However, previous studies indicate site fidelity, or limited home ranges, of yellowfin tuna which suggests the potential for multiple yellowfin tuna stocks within the EPO, which was supported by a population genetic study using microsatellites. If numerous stocks are present, management at the wrong spatial scales could cause the loss of minor yellowfin tuna populations in the EPO. In this study we used double digestion RADseq to assess the genetic structure of yellowfin tuna in the EPO. A total of 164 yellowfin tuna from Cabo San Lucas, México, and the Galápagos Islands and Santa Elena, Ecuador, were analysed using 18,011 single nucleotide polymorphisms. Limited genetic differentiation (FST = 0.00058–0.00328) observed among the sampling locations (México, Ecuador, Peru, and within Ecuador) is consistent with presence of a single yellowfin tuna population within the EPO. Our findings are consistent with the IATTC assessment and provide further evidence of the need for transboundary cooperation for the successful management of this important fishery throughout the EPO.
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Affiliation(s)
- Laia Muñoz-Abril
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
- Department of Marine Sciences, University of South Alabama, USA Drive North, Mobile, Alabama, United States of America
- * E-mail:
| | - Maria de Lourdes Torres
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
| | - Carlos A. Valle
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
| | - Francisco Rubianes-Landázuri
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
| | - Felipe Galván-Magaña
- Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, La Paz, México
| | - Steven W. J. Canty
- Smithsonian Marine Station Fort Pierce, Fort Pierce, Florida, United States of America
- Working Land and Seascapes, Smithsonian Institution, Washington, DC, United States of America
| | - Martin A. Terán
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
| | - Margarita Brandt
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
| | - Jaime A. Chaves
- Colegio de Ciencias Biológicas y Ambientales COCIBA, Universidad San Francisco de Quito USFQ, Diego de Robles y Pampite, Quito, Ecuador
- Department of Biology, San Francisco State University, San Francisco, CA, United States of America
| | - Peter M. Grewe
- CSIRO Oceans & Atmosphere, Castray Esplanade, Hobart, Tasmania, Australia
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The First Genome Survey and De Novo Assembly of the Short Mackerel (Rastrelliger brachysoma) and Indian Mackerel (Rastrelliger kanagurta). Animals (Basel) 2022; 12:ani12141769. [PMID: 35883316 PMCID: PMC9312166 DOI: 10.3390/ani12141769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/29/2022] [Accepted: 07/08/2022] [Indexed: 12/03/2022] Open
Abstract
Simple Summary Mackerel species are commercially important marine species in Southeast Asia, especially short mackerel and Indian mackerel. However, genomic information about them is still limited. Genome survey of these two mackerel species was reported in this study. Next-generation sequencing and comprehensive bioinformatics were performed to obtain the genetic information. The estimated genome size of both species is around 680 Mbp. The heterozygosity of these species was very similar, while the repeat content for Indian mackerel was slightly higher than for short mackerel. Functional annotation also was reported in this study. This is the first reported genome survey and assembly of species in the genus Rastrelliger and could be useful for future comparative genomic studies. Abstract Rastrelliger brachysoma (short mackerel) and Rastrelliger kanagurta (Indian mackerel) are commercially important marine species in Southeast Asia. In recent years, numbers of these two species have been decreasing in the wild, and genomic information about them is still limited. We conducted a genome survey of these two mackerel species to acquire essential genomic information using next-generation sequencing data. To obtain this genetic information, comprehensive bioinformatics analyses were performed, including de novo assembly, gene prediction, functional annotation, and phylogenetic analysis. The estimated genome sizes were around 680.14 Mbp (R. brachysoma) and 688.82 Mbp (R. kanagurta). The heterozygosity of these species was very similar (≈0.81), while the repeat content for R. kanagurta (9.30%) was slightly higher than for R. brachysoma (8.30%). Functional annotation indicated that most of the genes predicted in these two species shared very close average amino acid identities (94.06%). The phylogenetic analysis revealed close phylogenetic relationships between these two species and other scombrids. This is the first reported genome survey and assembly of species in the genus Rastrelliger and could be useful for future comparative genomic studies.
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Akita T. Estimating contemporary migration numbers of adults based on kinship relationships in iteroparous species. Mol Ecol Resour 2022; 22:3006-3017. [PMID: 35789097 DOI: 10.1111/1755-0998.13682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022]
Abstract
This paper describes the development of estimators for the contemporary migration number and rate of adults between two populations in iteroparous species. The proposed estimators are based on known half-sibling (HS) and/or parent-offspring (PO) relationships observed between populations across breeding seasons. The rationale is that HS and PO pairs exhibit information about the occurrence frequency of parental movements during the breeding interval. The proposed method allows for variance in the average number of offspring per parent within and between populations. In addition, coupled with the PO pairs found within the population, the estimators can be obtained using only genetic data. Generally, a sample size representing the square root of the population size is required to obtain meaningful migration information. We describe a detailed evaluation of the performance of the proposed estimators by running an individual-based model, and the results provide guidance regarding sample sizes to ensure the required accuracy and precision. In addition, given that there are few effective methods to estimate adult movement (especially when populations cannot be genetically distinct), we discuss the usefulness of the proposed kinship assignment method in terms of conservation biology and wildlife management.
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Affiliation(s)
- Tetsuya Akita
- Fisheries Resources Institute, Japan Fisheries Research and Education Agency, Kanagawa, Japan
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11
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Bertram A, Fairclough D, Sandoval‐Castillo J, Brauer C, Fowler A, Wellenreuther M, Beheregaray LB. Fisheries genomics of snapper ( Chrysophrys auratus) along the west Australian coast. Evol Appl 2022; 15:1099-1114. [PMID: 35899251 PMCID: PMC9309437 DOI: 10.1111/eva.13439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 11/28/2022] Open
Abstract
The efficacy of fisheries management strategies depends on stock assessment and management actions being carried out at appropriate spatial scales. This requires understanding of spatial and temporal population structure and connectivity, which is challenging in weakly structured and highly connected marine populations. We carried out a population genomics study of the heavily exploited snapper (Chrysophrys auratus) along ~2600 km of the Australian coastline, with a focus on Western Australia (WA). We used 10,903 filtered SNPs in 341 individuals from eight sampling locations to characterize population structure and connectivity in snapper across WA and to assess if current spatial scales of stock assessment and management agree with evidence from population genomics. Our dataset also enabled us to investigate temporal stability in population structure as well as connectivity between WA and its nearest, eastern jurisdictional neighbour. As expected for a species influenced by the extensive ocean boundary current in the region, low genetic differentiation and high connectivity were uncovered across WA. However, we did detect strong isolation by distance and genetic discontinuities in the mid-west and south-east. The discontinuities correlate with boundaries between biogeographic regions, influenced by on-shelf oceanography, and the sites of important spawning aggregations. We also detected temporal instability in genetic structure at one of our sites, possibly due to interannual variability in recruitment in adjacent regions. Our results partly contrast with the current spatial management of snapper in WA, indicating the likely benefits of a review. This study supports the value of population genomic surveys in informing the management of weakly structured and wide-ranging marine fishery resources.
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Affiliation(s)
- Andrea Bertram
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
| | - David Fairclough
- Aquatic Sciences and AssessmentDepartment of Primary Industries and Regional DevelopmentPerthWAAustralia
| | | | - Chris Brauer
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
| | - Anthony Fowler
- Aquatic SciencesSouth Australian Research and Development InstituteAdelaideSAAustralia
| | - Maren Wellenreuther
- The New Zealand Institute for Plant and Food Research LimitedNelsonNew Zealand
- The School of Biological SciencesUniversity of AucklandAucklandNew Zealand
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
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Lombardo G, Migliore NR, Colombo G, Capodiferro MR, Formenti G, Caprioli M, Moroni E, Caporali L, Lancioni H, Secomandi S, Gallo GR, Costanzo A, Romano A, Garofalo M, Cereda C, Carelli V, Gillespie L, Liu Y, Kiat Y, Marzal A, López-Calderón C, Balbontín J, Mousseau TA, Matyjasiak P, Møller AP, Semino O, Ambrosini R, Alquati AB, Rubolini D, Ferretti L, Achilli A, Gianfranceschi L, Olivieri A, Torroni A. The Mitogenome Relationships and Phylogeography of Barn Swallows (Hirundo rustica). Mol Biol Evol 2022; 39:6591937. [PMID: 35617136 PMCID: PMC9174979 DOI: 10.1093/molbev/msac113] [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] [Indexed: 11/13/2022] Open
Abstract
The barn swallow (Hirundo rustica) poses a number of fascinating scientific questions, including the taxonomic status of postulated subspecies. Here we obtained and assessed the sequence variation of 411 complete mitogenomes, mainly from the European H. r. rustica, but other subspecies as well. In almost every case, we observed subspecies-specific haplogroups, which we employed together with estimated radiation times to postulate a model for the geographical and temporal worldwide spread of the species. The female barn swallow carrying the Hirundo rustica ancestral mitogenome left Africa (or its vicinity) around 280 thousand years ago (kya), and her descendants expanded first into Eurasia and then, at least 51 kya, into the Americas, from where a relatively recent (< 20 kya) back migration to Asia took place. The exception to the haplogroup subspecies specificity is represented by the sedentary Levantine H. r. transitiva that extensively shares haplogroup A with the migratory European H. r. rustica and, to a lesser extent, haplogroup B with the Egyptian H. r. savignii. Our data indicate that rustica and transitiva most likely derive from a sedentary Levantine population source that split at the end of the Younger Dryas (11.7 kya). Since then, however, transitiva received genetic inputs from and admixed with both the closely related rustica and the adjacent savignii. Demographic analyses confirm this species' strong link with climate fluctuations and human activities making it an excellent indicator for monitoring and assessing the impact of current global changes on wildlife.
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Affiliation(s)
- Gianluca Lombardo
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Nicola Rambaldi Migliore
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Giulia Colombo
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Marco Rosario Capodiferro
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA
| | - Manuela Caprioli
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, 20133 Milan, Italy
| | - Elisabetta Moroni
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Leonardo Caporali
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, 40139 Bologna, Italy
| | - Hovirag Lancioni
- Dipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, 06123 Perugia, Italy
| | - Simona Secomandi
- Dipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milan, Italy
| | - Guido Roberto Gallo
- Dipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milan, Italy
| | - Alessandra Costanzo
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, 20133 Milan, Italy
| | - Andrea Romano
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, 20133 Milan, Italy
| | - Maria Garofalo
- Genomic and Post-Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Cristina Cereda
- Genomic and Post-Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Valerio Carelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, 40139 Bologna, Italy.,Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, 40139 Bologna, Italy
| | - Lauren Gillespie
- Department of Academic Education, Central Community College, Columbus, NE 68601, USA
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Guangzhou 510275, China
| | - Yosef Kiat
- Israeli Bird Ringing Center (IBRC), Israel Ornithological Center, Tel Aviv, Israel
| | - Alfonso Marzal
- Department of Zoology, University of Extremadura, 06071 Badajoz, Spain
| | - Cosme López-Calderón
- Department of Wetland Ecology, Estación Biológica de Doñana CSIC, 41092 Seville, Spain
| | - Javier Balbontín
- Department of Zoology, University of Seville, 41012 Seville, Spain
| | - Timothy A Mousseau
- Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA
| | - Piotr Matyjasiak
- Institute of Biological Sciences, Cardinal Stefan Wyszyński University in Warsaw, 01-938 Warsaw, Poland
| | - Anders Pape Møller
- Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91405, Orsay Cedex, France
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Roberto Ambrosini
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, 20133 Milan, Italy
| | - Andrea Bonisoli Alquati
- Department of Biological Sciences, California State Polytechnic University - Pomona, Pomona, CA 91767, USA
| | - Diego Rubolini
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, 20133 Milan, Italy
| | - Luca Ferretti
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Alessandro Achilli
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Luca Gianfranceschi
- Dipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milan, Italy
| | - Anna Olivieri
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
| | - Antonio Torroni
- Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", Università di Pavia, 27100 Pavia, Italy
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Machado AM, Gomes-dos-Santos A, Fonseca MM, da Fonseca RR, Veríssimo A, Felício M, Capela R, Alves N, Santos M, Salvador-Caramelo F, Domingues M, Ruivo R, Froufe E, Castro LFC. A genome assembly of the Atlantic chub mackerel ( Scomber colias): a valuable teleost fishing resource. GIGABYTE 2022; 2022:gigabyte40. [PMID: 36824513 PMCID: PMC9650269 DOI: 10.46471/gigabyte.40] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/09/2022] [Indexed: 11/09/2022] Open
Abstract
The Atlantic chub mackerel, Scomber colias (Gmelin, 1789), is a medium-sized pelagic fish with substantial importance in the fisheries of the Atlantic Ocean and the Mediterranean Sea. Over the past decade, this species has gained special relevance, being one of the main targets of pelagic fisheries in the NE Atlantic. Here, we sequenced and annotated the first high-quality draft genome assembly of S. colias, produced with PacBio HiFi long reads and Illumina paired-end short reads. The estimated genome size is 814 Mbp, distributed into 2,028 scaffolds and 2,093 contigs with an N50 length of 4.19 and 3.34 Mbp, respectively. We annotated 27,675 protein-coding genes and the BUSCO analyses indicated high completeness, with 97.3% of the single-copy orthologs in the Actinopterygii library profile. The present genome assembly represents a valuable resource to address the biology and management of this relevant fishery. Finally, this genome assembly ranks fourth in high-quality genome assemblies within the order Scombriformes and first in the genus Scomber.
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Affiliation(s)
- André M. Machado
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
| | - André Gomes-dos-Santos
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
| | - Miguel M. Fonseca
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
| | - Rute R. da Fonseca
- Center for Global Mountain Biodiversity, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Denmark
| | - Ana Veríssimo
- CIBIO - Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- BIOPOLIS - Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Mónica Felício
- Portuguese Institute for the Sea and Atmosphere, I.P. (IPMA), Portugal
| | - Ricardo Capela
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
| | - Nélson Alves
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
| | - Miguel Santos
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
| | - Filipe Salvador-Caramelo
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
| | - Marcos Domingues
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
| | - Raquel Ruivo
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
| | - Elsa Froufe
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
| | - L. Filipe C. Castro
- CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, U. Porto – University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, U. Porto - University of Porto, Portugal
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14
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Exploring the legacy of Central European historical winter wheat landraces. Sci Rep 2021; 11:23915. [PMID: 34903761 PMCID: PMC8668957 DOI: 10.1038/s41598-021-03261-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 11/29/2021] [Indexed: 11/14/2022] Open
Abstract
Historical wheat landraces are rich sources of genetic diversity offering untapped reservoirs for broadening the genetic base of modern varieties. Using a 20K SNP array, we investigated the accessible genetic diversity in a Central European bread wheat landrace collection with great drought, heat stress tolerance and higher tillering capacity. We discovered distinct differences in the number of average polymorphisms between landraces and modern wheat cultivars, and identified a set of novel rare alleles present at low frequencies in the landrace collection. The detected polymorphisms were unevenly distributed along the wheat genome, and polymorphic markers co-localized with genes of great agronomic importance. The geographical distribution of the inferred Bayesian clustering revealed six genetically homogenous ancestral groups among the collection, where the Central European core bared an admixed background originating from four ancestral groups. We evaluated the effective population sizes (Ne) of the Central European collection and assessed changes in diversity over time, which revealed a dramatic ~ 97% genetic erosion between 1955 and 2015.
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15
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Lu CW, Yao CT, Hung CM. Domestication obscures genomic estimates of population history. Mol Ecol 2021; 31:752-766. [PMID: 34779057 DOI: 10.1111/mec.16277] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 11/28/2022]
Abstract
Domesticated species are valuable models to examine phenotypic evolution, and knowledge on domestication history is critical for understanding the trajectories of evolutionary changes. Sequentially Markov Coalescent models are often used to infer domestication history. However, domestication practices may obscure the signal left by population history, affecting demographic inference. Here we assembled the genomes of a recently domesticated species-the society finch-and its parent species-the white-rumped munia-to examine its domestication history. We applied genomic analyses to two society finch breeds and white-rumped munias to test whether domestication of the former resulted from inbreeding or hybridization. The society finch showed longer and more runs of homozygosity and lower genomic heterozygosity than the white-rumped munia, supporting an inbreeding origin in the former. Blocks of white-rumped munia and other ancestry in society finch genomes showed similar genetic distance between the two taxa, inconsistent with the hybridization origin hypothesis. We then applied two Sequentially Markov Coalescent models-psmc and smc++-to infer the demographic histories of both. Surprisingly, the two models did not reveal a recent population bottleneck, but instead the psmc model showed a specious, dramatic population increase in the society finch. Subsequently, we used simulated genomes based on an array of demographic scenarios to demonstrate that recent inbreeding, not hybridization, caused the distorted psmc population trajectory. Such analyses could have misled our understanding of the domestication process. Our findings stress caution when interpreting the histories of recently domesticated species inferred by psmc, arguing that these histories require multiple analyses to validate.
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Affiliation(s)
- Chia-Wei Lu
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Cheng-Te Yao
- Division of Zoology, Endemic Species Research Institute, Nantou, Taiwan
| | - Chih-Ming Hung
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
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16
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Bernard AM, Finnegan KA, Pavinski Bitar P, Stanhope MJ, Shivji MS. Genomic assessment of global population structure in a highly migratory and habitat versatile apex predator, the tiger shark (Galeocerdo cuvier). J Hered 2021; 112:497-507. [PMID: 34374783 DOI: 10.1093/jhered/esab046] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 08/09/2021] [Indexed: 11/12/2022] Open
Abstract
Understanding the population dynamics of highly mobile, widely distributed, oceanic sharks, many of which are overexploited, is necessary to aid their conservation management. We investigated the global population genomics of tiger sharks (Galeocerdo cuvier), a circumglobally distributed, apex predator displaying remarkable behavioral versatility in its diet, habitat use (near coastal, coral reef, pelagic), and individual movement patterns (spatially resident to long-distance migrations). We genotyped 242 tiger sharks from 10 globally distributed locations at more than 2000 single nucleotide polymorphisms. Although this species often conducts massive distance migrations, the data show strong genetic differentiation at both neutral (FST=0.125-0.144) and candidate outlier loci (FST=0.570-0.761) between western Atlantic and Indo-Pacific sharks, suggesting the potential for adaptation to the environments specific to these oceanic regions. Within these regions, there was mixed support for population differentiation between northern and southern hemispheres in the western Atlantic, and none for structure within the Indian Ocean. Notably, the results demonstrate a low level of population differentiation of tiger sharks from the remote Hawaiian archipelago compared to sharks from the Indian Ocean (FST=0.003-0.005, P<0.01). Given concerns about biodiversity loss and marine ecosystem impacts caused by overfishing of oceanic sharks in the midst of rapid environmental change, our results suggest it imperative that international fishery management prioritize conservation of the evolutionary potential of the highly genetically differentiated Atlantic and Indo-Pacific populations of this unique apex predator. Furthermore, we suggest targeted management attention to tiger sharks in the Hawaiian archipelago based on a precautionary biodiversity conservation perspective.
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Affiliation(s)
- Andrea M Bernard
- Save Our Seas Foundation Shark Research Center, Nova Southeastern University, 8000 North Ocean Drive, Dania Beach, Florida, USA
| | - Kimberly A Finnegan
- Save Our Seas Foundation Shark Research Center, Nova Southeastern University, 8000 North Ocean Drive, Dania Beach, Florida, USA.,Guy Harvey Research Institute, Nova Southeastern University, 8000 North Ocean Drive, Dania Beach, Florida, USA
| | - Paulina Pavinski Bitar
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Michael J Stanhope
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Mahmood S Shivji
- Save Our Seas Foundation Shark Research Center, Nova Southeastern University, 8000 North Ocean Drive, Dania Beach, Florida, USA.,Guy Harvey Research Institute, Nova Southeastern University, 8000 North Ocean Drive, Dania Beach, Florida, USA
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17
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Li J, Bian C, Yi Y, Yu H, You X, Shi Q. Temporal dynamics of teleost populations during the Pleistocene: a report from publicly available genome data. BMC Genomics 2021; 22:490. [PMID: 34193045 PMCID: PMC8247217 DOI: 10.1186/s12864-021-07816-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 06/14/2021] [Indexed: 12/04/2022] Open
Abstract
Background Global climate oscillation, as a selection dynamic, is an ecologically important element resulting in global biodiversity. During the glacial geological periods, most organisms suffered detrimental selection pressures (such as food shortage and habitat loss) and went through population declines. However, during the mild interglacial periods, many species re-flourished. These temporal dynamics of effective population sizes (Ne) provide essential information for understanding and predicting evolutionary outcomes during historical and ongoing global climate changes. Results Using high-quality genome assemblies and corresponding sequencing data, we applied the Pairwise Sequentially Markovian Coalescent (PSMC) method to quantify Ne changes of twelve representative teleost species from approximately 10 million years ago (mya) to 10 thousand years ago (kya). These results revealed multiple rounds of population contraction and expansion in most of the examined teleost species during the Neogene and the Quaternary periods. We observed that 83% (10/12) of the examined teleosts had experienced a drastic decline in Ne before the last glacial period (LGP, 110–12 kya), slightly earlier than the reported pattern of Ne changes in 38 avian species. In comparison with the peaks, almost all of the examined teleosts maintained long-term lower Ne values during the last few million years. This is consistent with increasingly dramatic glaciation during this period. Conclusion In summary, these findings provide a more comprehensive understanding of the historical Ne changes in teleosts. Results presented here could lead to the development of appropriate strategies to protect species in light of ongoing global climate changes. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07816-7.
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Affiliation(s)
- Jia Li
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.
| | - Chao Bian
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.,Center of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Macau, China
| | - Yunhai Yi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Hui Yu
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China
| | - Xinxin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Qiong Shi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China. .,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China. .,Laboratory of Aquatic Genomics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
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18
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Artetxe-Arrate I, Fraile I, Marsac F, Farley JH, Rodriguez-Ezpeleta N, Davies CR, Clear NP, Grewe P, Murua H. A review of the fisheries, life history and stock structure of tropical tuna (skipjack Katsuwonus pelamis, yellowfin Thunnus albacares and bigeye Thunnus obesus) in the Indian Ocean. ADVANCES IN MARINE BIOLOGY 2020; 88:39-89. [PMID: 34119046 DOI: 10.1016/bs.amb.2020.09.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Skipjack (Katsuwonus pelamis), yellowfin (Thunnus albacares) and bigeye (Thunnus obesus) tuna are the target species of tropical tuna fisheries in the Indian Ocean, with high commercial value in the international market. High fishing pressure over the past three decades has raised concerns about their sustainability. Understanding life history strategies and stock structure is essential to determine species resilience and how they might respond to exploitation. Here we provide a comprehensive review of available knowledge on the biology, ecology, and stock structure of tropical tuna species in the Indian Ocean. We describe the characteristics of Indian Ocean tropical tuna fisheries and synthesize skipjack, yellowfin, and bigeye tuna key life history attributes such as biogeography, trophic ecology, growth, and reproductive biology. In addition, we evaluate the available literature about their stock structure using different approaches such as analysis of fisheries data, genetic markers, otolith microchemistry and tagging, among others. Based on this review, we conclude that there is a clear lack of ocean basin-scale studies on skipjack, yellowfin and bigeye tuna life history, and that regional stock structure studies indicate that the panmictic population assumption of these stocks should be investigated further. Finally, we identify specific knowledge gaps that should be addressed with priority to ensure a sustainable and effective management of these species.
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Affiliation(s)
- Iraide Artetxe-Arrate
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrea Kaia, Pasaia, Gipuzkoa, Spain.
| | - Igaratza Fraile
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrea Kaia, Pasaia, Gipuzkoa, Spain
| | - Francis Marsac
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France; Institut de Recherche pour le Développement (IRD), Sète, France
| | - Jessica H Farley
- CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, Australia
| | - Naiara Rodriguez-Ezpeleta
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrea Kaia, Pasaia, Gipuzkoa, Spain
| | - Campbell R Davies
- CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, Australia
| | - Naomi P Clear
- CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, Australia
| | - Peter Grewe
- CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, Australia
| | - Hilario Murua
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrea Kaia, Pasaia, Gipuzkoa, Spain; International Seafood Sustainability Foundation, Washington, DC, United States
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19
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Connectivity and population structure of albacore tuna across southeast Atlantic and southwest Indian Oceans inferred from multidisciplinary methodology. Sci Rep 2020; 10:15657. [PMID: 32973260 PMCID: PMC7519111 DOI: 10.1038/s41598-020-72369-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 07/09/2020] [Indexed: 11/17/2022] Open
Abstract
Albacore tuna (Thunnus alalunga) is an important target of tuna fisheries in the Atlantic and Indian Oceans. The commercial catch of albacore is the highest globally among all temperate tuna species, contributing around 6% in weight to global tuna catches over the last decade. The accurate assessment and management of this heavily exploited resource requires a robust understanding of the species’ biology and of the pattern of connectivity among oceanic regions, yet Indian Ocean albacore population dynamics remain poorly understood and its level of connectivity with the Atlantic Ocean population is uncertain. We analysed morphometrics and genetics of albacore (n = 1,874) in the southwest Indian (SWIO) and southeast Atlantic (SEAO) Oceans to investigate the connectivity and population structure. Furthermore, we examined the species’ dispersal potential by modelling particle drift through major oceanographic features. Males appear larger than females, except in South African waters, yet the length–weight relationship only showed significant male–female difference in one region (east of Madagascar and Reunion waters). The present study produced a genetic differentiation between the southeast Atlantic and southwest Indian Oceans, supporting their demographic independence. The particle drift models suggested dispersal potential of early life stages from SWIO to SEAO and adult or sub-adult migration from SEAO to SWIO.
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20
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Mendoza-Portillo V, Galván-Tirado C, Portnoy DS, Valenzuela-Quiñonez F, Domínguez-Domínguez O, Durand JD, Pérez-Urbiola JC, García-De León FJ. Genetic diversity and structure of circumtropical almaco jack, Seriola rivoliana: tool for conservation and management. JOURNAL OF FISH BIOLOGY 2020; 97:882-894. [PMID: 32598029 DOI: 10.1111/jfb.14450] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/13/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
The almaco jack, Seriola rivoliana, is a circumtropical pelagic fish of importance both in commercial fisheries and in aquaculture. To understand levels of genetic diversity within and among populations in the wild, population genetic structure and the relative magnitude of migration were assessed using mtDNA sequence data and single nucleotide polymorphisms (SNPs) from individuals sampled from locations in the Pacific and Atlantic Oceans. A total of 25 variable sites of cytochrome c oxidase subunit 1 and 3678 neutral SNPs were recovered. Three genetic groups were identified, with both marker types distributed in different oceanic regions: Pacific-1 in central Pacific, Pacific-2 in eastern Pacific and Atlantic in western Atlantic. Nonetheless, the analysis of SNP identified a fourth population in the Pacific coast of Baja California Sur, Mexico (Pacific-3), whereas that of mtDNA did not. This mito-nuclear discordance is likely explained by a recently diverged Pacific-3 population. In addition, two mtDNA haplogroups were found within the western Atlantic, likely indicating that the species came into the Atlantic from the Indian Ocean with historical gene flow from the eastern Pacific. Relative gene flow among ocean basins was low with r m < 0.2, whereas in the eastern Pacific it was asymmetric and higher from south to north (r m > 0.79). The results reflect the importance of assessing genetic structure and gene flow of natural populations for the purposes of sustainable management.
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Affiliation(s)
- Verónica Mendoza-Portillo
- Laboratorio de Genética para la Conservación, Centro de Investigaciones Biológicas del Noroeste, La Paz, Mexico
| | | | - David S Portnoy
- Marine Genomics Laboratory, Department of Life Sciences, Texas A&M University-Corpus Christi, USA
| | | | - Omar Domínguez-Domínguez
- Laboratorio de Biología Acuática, Facultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico
- Instituto Nacional de Biodiversidad, Quito, Ecuador
| | | | | | - Francisco J García-De León
- Laboratorio de Genética para la Conservación, Centro de Investigaciones Biológicas del Noroeste, La Paz, Mexico
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21
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Jacobs A, Therkildsen NO. Excavating ghost footprints and tangled trees from modern genomes. Mol Ecol 2020; 28:3287-3290. [PMID: 31379095 DOI: 10.1111/mec.15141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 06/04/2019] [Accepted: 06/05/2019] [Indexed: 11/29/2022]
Abstract
Due to pervasive gene flow and admixture, simple bifurcating trees often do not provide an accurate representation of relationships among diverging lineages, but limited resolution in the available genomic data and the spatial distribution of samples has hindered detailed insights regarding the evolutionary and demographic history of many species and populations. In this issue of Molecular Ecology, Foote et al. (2019) combine a powerful sampling design with novel analytical methods adopted from human genetics to describe previously unrecognized patterns of recurrent vicariance and admixture among lineages in the globally distributed killer whale (Orcinus orca). Based on sequence data from modern samples alone, they discover clear signatures of ancient admixture with a now extinct "ghost" lineage, providing one of the first accounts of archaic introgression in a nonhominid species. Coupling a cost-effective sequencing strategy with novel analytical approaches, their paper provides a roadmap for advancing inference of evolutionary history in other nonmodel species, promising exciting times ahead for our field.
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Affiliation(s)
- Arne Jacobs
- Department of Natural Resources, Cornell University, Ithaca, NY, USA
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22
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Mamoozadeh NR, Graves JE, McDowell JR. Genome-wide SNPs resolve spatiotemporal patterns of connectivity within striped marlin ( Kajikia audax), a broadly distributed and highly migratory pelagic species. Evol Appl 2020; 13:677-698. [PMID: 32211060 PMCID: PMC7086058 DOI: 10.1111/eva.12892] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 09/23/2019] [Accepted: 10/16/2019] [Indexed: 01/04/2023] Open
Abstract
Genomic methodologies offer unprecedented opportunities for statistically robust studies of species broadly distributed in environments conducive to high gene flow, providing valuable information for wildlife conservation and management. Here, we sequence restriction site-associated DNA to characterize genome-wide single nucleotide polymorphisms (SNPs) in a broadly distributed and highly migratory large pelagic fish, striped marlin (Kajikia audax). Assessment of over 4,000 SNPs resolved spatiotemporal patterns of genetic connectivity throughout the species range in the Pacific and, for the first time, Indian oceans. Individual-based cluster analyses identified six genetically distinct populations corresponding with the western Indian, eastern Indian, western South Pacific, and eastern central Pacific oceans, as well as two populations in the North Pacific Ocean (F ST = 0.0137-0.0819). F ST outlier analyses identified a subset of SNPs (n = 59) putatively under the influence of natural selection and capable of resolving populations separated by comparatively high degrees of genetic differentiation. Temporal collections available for some regions demonstrated the stability of allele frequencies over three to five generations of striped marlin. Relative migration rates reflected lower levels of genetic connectivity between Indian Ocean populations (m R ≤ 0.37) compared with most populations in the Pacific Ocean (m R ≥ 0.57) and highlight the importance of the western South Pacific in facilitating gene flow between ocean basins. Collectively, our results provide novel insights into rangewide population structure for striped marlin and highlight substantial inconsistencies between genetically distinct populations and stocks currently recognized for fisheries management. More broadly, we demonstrate that species capable of long-distance dispersal in environments lacking obvious physical barriers to movement can display substantial population subdivision that persists over multiple generations and that may be facilitated by both neutral and adaptive processes. Importantly, surveys of genome-wide markers enable inference of population-level relationships using sample sizes practical for large pelagic fishes of conservation concern.
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Affiliation(s)
- Nadya R. Mamoozadeh
- Department of Fisheries ScienceVirginia Institute of Marine ScienceWilliam & MaryGloucester PointVirginia
| | - John E. Graves
- Department of Fisheries ScienceVirginia Institute of Marine ScienceWilliam & MaryGloucester PointVirginia
| | - Jan R. McDowell
- Department of Fisheries ScienceVirginia Institute of Marine ScienceWilliam & MaryGloucester PointVirginia
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23
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D’Urban Jackson J, Bruford MW, Székely T, DaCosta JM, Sorenson MD, Russo IRM, Maher KH, Cruz-López M, Galindo-Espinosa D, Palacios E, De Sucre-Medrano AE, Cavitt J, Pruner R, Morales AL, Gonzalez O, Burke T, Küpper C. Population differentiation and historical demography of the threatened snowy plover Charadrius nivosus (Cassin, 1858). CONSERV GENET 2020. [DOI: 10.1007/s10592-020-01256-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AbstractDelineating conservation units is a complex and often controversial process that is particularly challenging for highly vagile species. Here, we reassess population genetic structure and identify those populations of highest conservation value in the threatened snowy plover (Charadrius nivosus, Cassin, 1858), a partial migrant shorebird endemic to the Americas. We use four categories of genetic data—mitochondrial DNA (mtDNA), microsatellites, Z-linked and autosomal single nucleotide polymorphisms (SNPs)—to: (1) assess subspecies delineation and examine population structure (2) compare the sensitivity of the different types of genetic data to detect spatial genetic patterns, and (3) reconstruct demographic history of the populations analysed. Delineation of two traditionally recognised subspecies was broadly supported by all data. In addition, microsatellite and SNPs but not mtDNA supported the recognition of Caribbean snowy plovers (C. n. tenuirostris) and Floridian populations (eastern C. n. nivosus) as distinct genetic lineage and deme, respectively. Low migration rates estimated from autosomal SNPs (m < 0.03) reflect a general paucity of exchange between genetic lineages. In contrast, we detected strong unidirectional migration (m = 0.26) from the western into the eastern nivosus deme. Within western nivosus, we found no genetic differentiation between coastal Pacific and inland populations. The correlation between geographic and genetic distances was weak but significant for all genetic data sets. All demes showed signatures of bottlenecks occurring during the past 1000 years. We conclude that at least four snowy plover conservation units are warranted: in addition to subspecies nivosus and occidentalis, a third unit comprises the Caribbean tenuirostris lineage and a fourth unit the distinct eastern nivosus deme.
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24
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Patton AH, Margres MJ, Stahlke AR, Hendricks S, Lewallen K, Hamede RK, Ruiz-Aravena M, Ryder O, McCallum HI, Jones ME, Hohenlohe PA, Storfer A. Contemporary Demographic Reconstruction Methods Are Robust to Genome Assembly Quality: A Case Study in Tasmanian Devils. Mol Biol Evol 2020; 36:2906-2921. [PMID: 31424552 PMCID: PMC6878949 DOI: 10.1093/molbev/msz191] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Reconstructing species’ demographic histories is a central focus of molecular ecology and evolution. Recently, an expanding suite of methods leveraging either the sequentially Markovian coalescent (SMC) or the site-frequency spectrum has been developed to reconstruct population size histories from genomic sequence data. However, few studies have investigated the robustness of these methods to genome assemblies of varying quality. In this study, we first present an improved genome assembly for the Tasmanian devil using the Chicago library method. Compared with the original reference genome, our new assembly reduces the number of scaffolds (from 35,975 to 10,010) and increases the scaffold N90 (from 0.101 to 2.164 Mb). Second, we assess the performance of four contemporary genomic methods for inferring population size history (PSMC, MSMC, SMC++, Stairway Plot), using the two devil genome assemblies as well as simulated, artificially fragmented genomes that approximate the hypothesized demographic history of Tasmanian devils. We demonstrate that each method is robust to assembly quality, producing similar estimates of Ne when simulated genomes were fragmented into up to 5,000 scaffolds. Overall, methods reliant on the SMC are most reliable between ∼300 generations before present (gbp) and 100 kgbp, whereas methods exclusively reliant on the site-frequency spectrum are most reliable between the present and 30 gbp. Our results suggest that when used in concert, genomic methods for reconstructing species’ effective population size histories 1) can be applied to nonmodel organisms without highly contiguous reference genomes, and 2) are capable of detecting independently documented effects of historical geological events.
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Affiliation(s)
- Austin H Patton
- School of Biological Sciences, Washington State University, Pullman, WA
| | - Mark J Margres
- School of Biological Sciences, Washington State University, Pullman, WA.,Department of Organismic and Evolutionary Biology, Harvard University, MA
| | - Amanda R Stahlke
- Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID
| | - Sarah Hendricks
- Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID
| | - Kevin Lewallen
- Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID
| | - Rodrigo K Hamede
- School of Natural Sciences, University of Tasmania, Hobart, Australia
| | | | - Oliver Ryder
- Institute for Conservation Research, San Diego, CA
| | | | - Menna E Jones
- School of Natural Sciences, University of Tasmania, Hobart, Australia
| | - Paul A Hohenlohe
- Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, WA
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25
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Asaduzzaman M, Igarashi Y, Wahab MA, Nahiduzzaman M, Rahman MJ, Phillips MJ, Huang S, Asakawa S, Rahman MM, Wong LL. Population Genomics of an Anadromous Hilsa Shad Tenualosa ilisha Species across Its Diverse Migratory Habitats: Discrimination by Fine-Scale Local Adaptation. Genes (Basel) 2019; 11:46. [PMID: 31905942 PMCID: PMC7017241 DOI: 10.3390/genes11010046] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 11/23/2022] Open
Abstract
The migration of anadromous fish in heterogenic environments unceasingly imposes a selective pressure that results in genetic variation for local adaptation. However, discrimination of anadromous fish populations by fine-scale local adaptation is challenging because of their high rate of gene flow, highly connected divergent population, and large population size. Recent advances in next-generation sequencing (NGS) have expanded the prospects of defining the weakly structured population of anadromous fish. Therefore, we used NGS-based restriction site-associated DNA (NextRAD) techniques on 300 individuals of an anadromous Hilsa shad (Tenualosa ilisha) species, collected from nine strategic habitats, across their diverse migratory habitats, which include sea, estuary, and different freshwater rivers. The NextRAD technique successfully identified 15,453 single nucleotide polymorphism (SNP) loci. Outlier tests using the FST OutFLANK and pcadapt approaches identified 74 and 449 SNPs (49 SNPs being common), respectively, as putative adaptive loci under a divergent selection process. Our results, based on the different cluster analyses of these putatively adaptive loci, suggested that local adaptation has divided the Hilsa shad population into two genetically structured clusters, in which marine and estuarine collection sites were dominated by individuals of one genetic cluster and different riverine collection sites were dominated by individuals of another genetic cluster. The phylogenetic analysis revealed that all the riverine populations of Hilsa shad were further subdivided into the north-western riverine (turbid freshwater) and the north-eastern riverine (clear freshwater) ecotypes. Among all of the putatively adaptive loci, only 36 loci were observed to be in the coding region, and the encoded genes might be associated with important biological functions related to the local adaptation of Hilsa shad. In summary, our study provides both neutral and adaptive contexts for the observed genetic divergence of Hilsa shad and, consequently, resolves the previous inconclusive findings on their population genetic structure across their diverse migratory habitats. Moreover, the study has clearly demonstrated that NextRAD sequencing is an innovative approach to explore how dispersal and local adaptation can shape genetic divergence of non-model anadromous fish that intersect diverse migratory habitats during their life-history stages.
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Affiliation(s)
- Md Asaduzzaman
- Department of Marine Bioresource Science, Faculty of Fisheries, Chattogram Veterinary and Animal Sciences University, Khulsi, Chattogram 4225, Bangladesh
- Department of Aquatic Bioscience, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan; (Y.I.); (S.H.); (S.A.)
| | - Yoji Igarashi
- Department of Aquatic Bioscience, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan; (Y.I.); (S.H.); (S.A.)
| | - Md Abdul Wahab
- WorldFish, Bangladesh and South Asia Office, Banani, Dhaka 1213, Bangladesh; (M.A.W.); (M.N.); (M.J.R.)
| | - Md Nahiduzzaman
- WorldFish, Bangladesh and South Asia Office, Banani, Dhaka 1213, Bangladesh; (M.A.W.); (M.N.); (M.J.R.)
| | - Md Jalilur Rahman
- WorldFish, Bangladesh and South Asia Office, Banani, Dhaka 1213, Bangladesh; (M.A.W.); (M.N.); (M.J.R.)
| | - Michael J. Phillips
- WorldFish Headquarters, Jalan Batu Maung, Batu Muang, Penang 11960, Malaysia;
| | - Songqian Huang
- Department of Aquatic Bioscience, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan; (Y.I.); (S.H.); (S.A.)
| | - Shuichi Asakawa
- Department of Aquatic Bioscience, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan; (Y.I.); (S.H.); (S.A.)
| | - Md Moshiur Rahman
- Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna 9208, Bangladesh;
| | - Li Lian Wong
- Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala-Terengganu, Terengganu 21030, Malaysia
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26
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Mattingsdal M, Jorde PE, Knutsen H, Jentoft S, Stenseth NC, Sodeland M, Robalo JI, Hansen MM, André C, Blanco Gonzalez E. Demographic history has shaped the strongly differentiated corkwing wrasse populations in Northern Europe. Mol Ecol 2019; 29:160-171. [DOI: 10.1111/mec.15310] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 11/06/2019] [Accepted: 11/13/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Morten Mattingsdal
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
| | | | - Halvor Knutsen
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
- Institute of Marine Research Flødevigen Norway
| | - Sissel Jentoft
- Department of Biosciences Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
| | - Nils Christian Stenseth
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
- Department of Biosciences Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
| | - Marte Sodeland
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
| | - Joana I. Robalo
- Marine and Environmental Sciences Centre ISPA Instituto Universitário de Ciências Psicológicas, Sociais e da Vida Lisboa Portugal
| | | | - Carl André
- Department of Marine Sciences‐Tjärnö Göteborg University Strömstad Sweden
| | - Enrique Blanco Gonzalez
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
- Norwegian College of Fishery Science UiT The Arctic University of Norway Tromsø Norway
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27
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Barth JMI, Villegas-Ríos D, Freitas C, Moland E, Star B, André C, Knutsen H, Bradbury I, Dierking J, Petereit C, Righton D, Metcalfe J, Jakobsen KS, Olsen EM, Jentoft S. Disentangling structural genomic and behavioural barriers in a sea of connectivity. Mol Ecol 2019; 28:1394-1411. [PMID: 30633410 PMCID: PMC6518941 DOI: 10.1111/mec.15010] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 12/21/2018] [Accepted: 12/27/2018] [Indexed: 12/17/2022]
Abstract
Genetic divergence among populations arises through natural selection or drift and is counteracted by connectivity and gene flow. In sympatric populations, isolating mechanisms are thus needed to limit the homogenizing effects of gene flow to allow for adaptation and speciation. Chromosomal inversions act as an important mechanism maintaining isolating barriers, yet their role in sympatric populations and divergence with gene flow is not entirely understood. Here, we revisit the question of whether inversions play a role in the divergence of connected populations of the marine fish Atlantic cod (Gadus morhua), by exploring a unique data set combining whole‐genome sequencing data and behavioural data obtained with acoustic telemetry. Within a confined fjord environment, we find three genetically differentiated Atlantic cod types belonging to the oceanic North Sea population, the western Baltic population and a local fjord‐type cod. Continuous behavioural tracking over 4 year revealed temporally stable sympatry of these types within the fjord. Despite overall weak genetic differentiation consistent with high levels of gene flow, we detected significant frequency shifts of three previously identified inversions, indicating an adaptive barrier to gene flow. In addition, behavioural data indicated that North Sea cod and individuals homozygous for the LG12 inversion had lower fitness in the fjord environment. However, North Sea and fjord‐type cod also occupy different depths, possibly contributing to prezygotic reproductive isolation and representing a behavioural barrier to gene flow. Our results provide the first insights into a complex interplay of genomic and behavioural isolating barriers in Atlantic cod and establish a new model system towards an understanding of the role of genomic structural variants in adaptation and diversification.
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Affiliation(s)
- Julia M I Barth
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway.,Zoological Institute, University of Basel, Basel, Switzerland
| | - David Villegas-Ríos
- Department of Ecology and Marine Resources, Mediterranean Institute for Advanced Studies, IMEDEA CSIC-UIB, Esporles, Spain.,Department of Ecology and Marine Resources, Institute of Marine Research, (IIM CSIC), Vigo, Spain
| | - Carla Freitas
- Institute for Marine Research, Flødevigen, Norway.,Centre for Coastal Research, University of Agder, Agder, Norway.,Oceanic Observatory of Madeira, Funchal, Portugal
| | - Even Moland
- Institute for Marine Research, Flødevigen, Norway.,Centre for Coastal Research, University of Agder, Agder, Norway
| | - Bastiaan Star
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Carl André
- Department of Marine Sciences - Tjärnö, University of Gothenburg, Gothenburg, Sweden
| | - Halvor Knutsen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway.,Institute for Marine Research, Flødevigen, Norway.,Centre for Coastal Research, University of Agder, Agder, Norway
| | - Ian Bradbury
- Science Branch, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
| | - Jan Dierking
- GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany
| | | | - David Righton
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Lowestoft, UK
| | - Julian Metcalfe
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Lowestoft, UK
| | - Kjetill S Jakobsen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Esben M Olsen
- Institute for Marine Research, Flødevigen, Norway.,Centre for Coastal Research, University of Agder, Agder, Norway
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
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28
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Pecoraro C, Babbucci M, Franch R, Rico C, Papetti C, Chassot E, Bodin N, Cariani A, Bargelloni L, Tinti F. The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation. Sci Rep 2018; 8:13890. [PMID: 30224658 PMCID: PMC6141456 DOI: 10.1038/s41598-018-32331-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 08/31/2018] [Indexed: 12/03/2022] Open
Abstract
Yellowfin tuna, Thunnus albacares, is one of the most important seafood commodities in the world. Despite its great biological and economic importance, conflicting evidence arises from classical genetic and tagging studies concerning the yellowfin tuna population structure at local and global oceanic scales. Access to more powerful and cost effective genetic tools would represent the first step towards resolving the population structure of yellowfin tuna across its distribution range. Using a panel of 939 neutral Single Nucleotide Polymorphisms (SNPs), and the most comprehensive data set of yellowfin samples available so far, we found genetic differentiation among the Atlantic, Indian and Pacific oceans. The genetic stock structure analysis carried out with 33 outlier SNPs, putatively under selection, identified discrete populations within the Pacific Ocean and, for the first time, also within the Atlantic Ocean. Stock assessment approaches that consider genetic differences at neutral and adaptive genomic loci should be routinely implemented to check the status of the yellowfin tuna, prevent illegal trade, and develop more sustainable management measures.
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Affiliation(s)
- Carlo Pecoraro
- Department Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Via Selmi 3, 40126, Bologna, Italy. .,Institut de Recherche pour le Développement (IRD), UMR MARBEC (IRD/Ifremer/UM2/CNRS) SFA, Fishing Port, BP570, Victoria, Seychelles. .,Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany.
| | - Massimiliano Babbucci
- Comparative Biomedicine and Food Science, University of Padova, viale dell'Università 16, 35020, Legnaro, PD, Italy
| | - Rafaella Franch
- Comparative Biomedicine and Food Science, University of Padova, viale dell'Università 16, 35020, Legnaro, PD, Italy
| | - Ciro Rico
- School of Marine Studies, Molecular Analytics Laboratory (MOANA-LAB), Faculty of Science Technology and Environment, The University of the South Pacific, Laucala Campus, Suva, Fiji.,Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (EBD, CSIC), c/Américo Vespucio s/n, Sevilla, 41092, Spain
| | - Chiara Papetti
- Department of Biology, University of Padova, 35121, Padova, Italy
| | - Emmanuel Chassot
- Institut de Recherche pour le Développement (IRD), UMR MARBEC (IRD/Ifremer/UM2/CNRS) SFA, Fishing Port, BP570, Victoria, Seychelles
| | - Nathalie Bodin
- Institut de Recherche pour le Développement (IRD), UMR MARBEC (IRD/Ifremer/UM2/CNRS) SFA, Fishing Port, BP570, Victoria, Seychelles
| | - Alessia Cariani
- Department Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Via Selmi 3, 40126, Bologna, Italy
| | - Luca Bargelloni
- Comparative Biomedicine and Food Science, University of Padova, viale dell'Università 16, 35020, Legnaro, PD, Italy
| | - Fausto Tinti
- Department Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Via Selmi 3, 40126, Bologna, Italy
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