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Wei Y, He S, Wang J, Fan P, He Y, Hu K, Chen Y, Zhou G, Zhong D, Zheng X. Genome-wide SNPs reveal novel patterns of spatial genetic structure in Aedes albopictus (Diptera Culicidae) population in China. Front Public Health 2022; 10:1028026. [PMID: 36438226 PMCID: PMC9685676 DOI: 10.3389/fpubh.2022.1028026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022] Open
Abstract
Introduction Since the second half of the 20th century, Aedes albopictus, a vector for more than 20 arboviruses, has spread worldwide. Aedes albopictus is the main vector of infectious diseases transmitted by Aedes mosquitoes in China, and it has caused concerns regarding public health. A comprehensive understanding of the spatial genetic structure of this vector species at a genomic level is essential for effective vector control and the prevention of vector-borne diseases. Methods During 2016-2018, adult female Ae. albopictus mosquitoes were collected from eight different geographical locations across China. Restriction site-associated DNA sequencing (RAD-seq) was used for high-throughput identification of single nucleotide polymorphisms (SNPs) and genotyping of the Ae. albopictus population. The spatial genetic structure was analyzed and compared to those exhibited by mitochondrial cytochrome c oxidase subunit 1 (cox1) and microsatellites in the Ae. albopictus population. Results A total of 9,103 genome-wide SNP loci in 101 specimens and 32 haplotypes of cox1 in 231 specimens were identified in the samples from eight locations in China. Principal component analysis revealed that samples from Lingshui and Zhanjiang were more genetically different than those from the other locations. The SNPs provided a better resolution and stronger signals for novel spatial population genetic structures than those from the cox1 data and a set of previously genotyped microsatellites. The fixation indexes from the SNP dataset showed shallow but significant genetic differentiation in the population. The Mantel test indicated a positive correlation between genetic distance and geographical distance. However, the asymmetric gene flow was detected among the populations, and it was higher from south to north and west to east than in the opposite directions. Conclusions The genome-wide SNPs revealed seven gene pools and fine spatial genetic structure of the Ae. albopictus population in China. The RAD-seq approach has great potential to increase our understanding of the spatial dynamics of population spread and establishment, which will help us to design new strategies for controlling vectors and mosquito-borne diseases.
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Affiliation(s)
- Yong Wei
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China,Clinical Laboratory, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Song He
- Clinical Laboratory, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Jiatian Wang
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Peiyang Fan
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yulan He
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ke Hu
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yulan Chen
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Guofa Zhou
- Program in Public Health, College of Health Sciences, University of California, Irvine, Irvine, CA, United States
| | - Daibin Zhong
- Program in Public Health, College of Health Sciences, University of California, Irvine, Irvine, CA, United States
| | - Xueli Zheng
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China,*Correspondence: Xueli Zheng
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Campbell DC, Camak DT, Piller KR. Islands in the desert: assessing fine scale population genomic variation of a group of imperiled desert fishes. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01457-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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3
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Kongsstovu SÍ, Mikalsen SO, Homrum EÍ, Jacobsen JA, Als TD, Gislason H, Flicek P, Nielsen EE, Dahl HA. Atlantic herring ( Clupea harengus) population structure in the Northeast Atlantic Ocean. FISHERIES RESEARCH 2022; 249:106231. [PMID: 36798657 PMCID: PMC7614180 DOI: 10.1016/j.fishres.2022.106231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The Atlantic herring Clupea harengus L has a vast geographical distribution and a complex population structure with a few very large migratory units and many small local populations. Each population has its own spawning ground and/or time, thereby maintaining their genetic integrity. Several herring populations migrate between common feeding grounds and over-wintering areas resulting in frequent mixing of populations. Thus, many herring fisheries are based on mixed populations of different demographic status. In order to avoid over-exploitation of weak populations and to conserve biodiversity, understanding the population structure and population mixing is important for maintaining biologically sustainable herring fisheries. The aim of this study was to investigate the genetic population structure of herring in the Faroese and surrounding waters, and to develop genetic markers for distinguishing between four herring management units (often called stocks), namely the Norwegian spring-spawning herring (NSSH), Icelandic summer-spawning herring (ISSH), North Sea autumn-spawning herring (NSAH), and Faroese autumn-spawning herring (FASH). Herring from the four stocks were sequenced at low coverage, and single nucleotide polymorphisms (SNPs) were called and used for population structure analysis and individual assignment. An ancestry-informative SNP panel with 118 SNPs was developed and tested on 240 individuals. The results showed that all four stocks appeared to be genetically differentiated populations, but at lower levels of differentiation between FASH and ISSH than the other two populations. Overall assignment rate with the SNP panel was 80.7%, and agreement between the genetic and traditional visual assignment was 75.5%. The NSAH and NSSH samples had the highest assignment rate (100% and 98.3%, respectively) and highest agreement between traditional and genetic assignment methods (96.6% and 94.9%, respectively). The FASH and ISSH samples had substantially lower assignment rates (72.9% and 51.7%, respectively) and agreement between traditional and genetic methods (39.5% and 48.4%, respectively).
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Affiliation(s)
- Sunnvør í Kongsstovu
- Amplexa Genetics A/S, Hoyvíksvegur 51, FO-100 Tórshavn, Faroe Islands
- University of the Faroe Islands, Faculty of Science and Technology, Vestara Bryggja 15, FO-100 Tórshavn, Faroe Islands
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Svein-Ole Mikalsen
- University of the Faroe Islands, Faculty of Science and Technology, Vestara Bryggja 15, FO-100 Tórshavn, Faroe Islands
| | - Eydna í Homrum
- Faroe Marine Research Institute, Nóatún 1, FO-100 Tórshavn, Faroe Islands
| | - Jan Arge Jacobsen
- Faroe Marine Research Institute, Nóatún 1, FO-100 Tórshavn, Faroe Islands
| | - Thomas D. Als
- Aarhus University, Department of Biomedicine, Høegh-Guldbergs Gade 10, 8000 Aarhus C, Denmark
| | - Hannes Gislason
- University of the Faroe Islands, Faculty of Science and Technology, Vestara Bryggja 15, FO-100 Tórshavn, Faroe Islands
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Einar Eg Nielsen
- DTU Aqua – National Institute of Aquatic Resources, Technical University of Denmark, Vejlsøvej 39, 8600 Silkeborg, Denmark
| | - Hans Atli Dahl
- Amplexa Genetics A/S, Hoyvíksvegur 51, FO-100 Tórshavn, Faroe Islands
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Koot E, Arnst E, Taane M, Goldsmith K, Thrimawithana A, Reihana K, González-Martínez SC, Goldsmith V, Houliston G, Chagné D. Genome-wide patterns of genetic diversity, population structure and demographic history in mānuka (Leptospermum scoparium) growing on indigenous Māori land. HORTICULTURE RESEARCH 2022; 9:uhab012. [PMID: 35039864 PMCID: PMC8771449 DOI: 10.1093/hr/uhab012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/09/2021] [Accepted: 09/02/2021] [Indexed: 06/14/2023]
Abstract
Leptospermum scoparium J. R. Forst et G. Forst, known as mānuka by Māori, the indigenous people of Aotearoa (New Zealand), is a culturally and economically significant shrub species, native to New Zealand and Australia. Chemical, morphological and phylogenetic studies have indicated geographical variation of mānuka across its range in New Zealand, and genetic differentiation between New Zealand and Australia. We used pooled whole genome re-sequencing of 76 L. scoparium and outgroup populations from New Zealand and Australia to compile a dataset totalling ~2.5 million SNPs. We explored the genetic structure and relatedness of L. scoparium across New Zealand, and between populations in New Zealand and Australia, as well as the complex demographic history of this species. Our population genomic investigation suggests there are five geographically distinct mānuka gene pools within New Zealand, with evidence of gene flow occurring between these pools. Demographic modelling suggests three of these gene pools have undergone expansion events, whilst the evolutionary histories of the remaining two have been subjected to contractions. Furthermore, mānuka populations in New Zealand are genetically distinct from populations in Australia, with coalescent modelling suggesting these two clades diverged ~9-12 million years ago. We discuss the evolutionary history of this species and the benefits of using pool-seq for such studies. Our research will support the management and conservation of mānuka by landowners, particularly Māori, and the development of a provenance story for the branding of mānuka based products.
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Affiliation(s)
- Emily Koot
- The New Zealand Institute for Plant and Food Research Limited (Plant & Food Research), Batchelar Rd, Palmerston North 4410, New Zealand
| | - Elise Arnst
- Manaaki Whenua Landcare Research, 54 Gerald St, Lincoln 7608, New Zealand
| | - Melissa Taane
- The New Zealand Institute for Plant and Food Research Limited (Plant & Food Research), Batchelar Rd, Palmerston North 4410, New Zealand
| | | | | | - Kiri Reihana
- Manaaki Whenua Landcare Research, 54 Gerald St, Lincoln 7608, New Zealand
| | | | | | - Gary Houliston
- Manaaki Whenua Landcare Research, 54 Gerald St, Lincoln 7608, New Zealand
| | - David Chagné
- The New Zealand Institute for Plant and Food Research Limited (Plant & Food Research), Batchelar Rd, Palmerston North 4410, New Zealand
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Iannucci A, Benazzo A, Natali C, Arida EA, Zein MSA, Jessop TS, Bertorelle G, Ciofi C. Population structure, genomic diversity and demographic history of Komodo dragons inferred from whole-genome sequencing. Mol Ecol 2021; 30:6309-6324. [PMID: 34390519 PMCID: PMC9292392 DOI: 10.1111/mec.16121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 07/28/2021] [Accepted: 08/03/2021] [Indexed: 02/07/2023]
Abstract
Population and conservation genetics studies have greatly benefited from the development of new techniques and bioinformatic tools associated with next-generation sequencing. Analysis of extensive data sets from whole-genome sequencing of even a few individuals allows the detection of patterns of fine-scale population structure and detailed reconstruction of demographic dynamics through time. In this study, we investigated the population structure, genomic diversity and demographic history of the Komodo dragon (Varanus komodoensis), the world's largest lizard, by sequencing the whole genomes of 24 individuals from the five main Indonesian islands comprising the entire range of the species. Three main genomic groups were observed. The populations of the Island of Komodo and the northern coast of Flores, in particular, were identified as two distinct conservation units. Degrees of genomic divergence among island populations were interpreted as a result of changes in sea level affecting connectivity across islands. Demographic inference suggested that Komodo dragons probably experienced a relatively steep population decline over the last million years, reaching a relatively stable Ne during the Saalian glacial cycle (400-150 thousand years ago) followed by a rapid Ne decrease. Genomic diversity of Komodo dragons was similar to that found in endangered or already extinct reptile species. Overall, this study provides an example of how whole-genome analysis of a few individuals per population can help define population structure and intraspecific demographic dynamics. This is particularly important when applying population genomics data to conservation of rare or elusive endangered species.
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Affiliation(s)
| | - Andrea Benazzo
- Department of Life Sciences and BiotechnologyUniversity of FerraraFerraraItaly
| | - Chiara Natali
- Department of BiologyUniversity of FlorenceFirenzeItaly
| | - Evy Ayu Arida
- Research Center for BiologyThe Indonesian Institute of Sciences (LIPI)Cibinong Science CenterCibinongIndonesia
| | - Moch Samsul Arifin Zein
- Research Center for BiologyThe Indonesian Institute of Sciences (LIPI)Cibinong Science CenterCibinongIndonesia
| | - Tim S. Jessop
- School of Life and Environmental SciencesDeakin UniversityGeelongVic.Australia
| | - Giorgio Bertorelle
- Department of Life Sciences and BiotechnologyUniversity of FerraraFerraraItaly
| | - Claudio Ciofi
- Department of BiologyUniversity of FlorenceFirenzeItaly
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6
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Jin L, Liao WB, Merilä J. Genomic evidence for adaptive differentiation among
Microhyla fissipes
populations: Implications for conservation. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Long Jin
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education) China West Normal University Nanchong China
| | - Wen Bo Liao
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education) China West Normal University Nanchong China
| | - Juha Merilä
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme Faculty of Biological and Environmental Sciences FI‐00014 University of Helsinki Helsinki Finland
- Research Division for Ecology and Biodiversity School Biological Sciences The University of Hong KongHong Kong SAR
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7
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Lang AR, Boveng P, Quakenbush L, Robertson K, Lauf M, Rode KD, Ziel H, Taylor BL. Re-examination of population structure in Arctic ringed seals using DArTseq genotyping. ENDANGER SPECIES RES 2021. [DOI: 10.3354/esr01087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Although Arctic ringed seals Phoca hispida hispida are currently abundant and broadly distributed, their numbers are projected to decline substantially by the year 2100 due to climate warming. While understanding population structure could provide insight into the impact of environmental changes on this subspecies, detecting demographically important levels of exchange can be difficult in taxa with high abundance. We used a next-generation sequencing approach (DArTseq) to genotype ~5700 single nucleotide polymorphisms in 79 seals from 4 Pacific Arctic regions. Comparison of the 2 most geographically separated strata (eastern Bering vs. northeastern Chukchi-Beaufort Seas) revealed a statistically significant level of genetic differentiation (FST = 0.001, p = 0.005) that, while small, was 1 to 2 orders of magnitude greater than expected based on divergence estimated for similarly sized populations connected by low (1% yr-1) dispersal. A relatively high proportion (72 to 88%) of individuals within these strata could be genetically assigned to their stratum of origin. These results indicate that demographically important structure may be present among Arctic ringed seals breeding in different areas, increasing the risk that declines in the number of seals breeding in areas most negatively affected by environmental warming could occur.
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Affiliation(s)
- AR Lang
- Ocean Associates, Inc., Arlington, VA 22207, USA, under contract to the Southwest Fisheries Science Center, NOAA Fisheries, La Jolla, CA 92037, USA
| | - P Boveng
- Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA Fisheries, Seattle, WA 98115, USA
| | - L Quakenbush
- Arctic Marine Mammal Program, Alaska Department of Fish and Game, Fairbanks, AK 99701, USA
| | - K Robertson
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, NOAA Fisheries, La Jolla, CA 92037, USA
| | - M Lauf
- Ocean Associates, Inc., Arlington, VA 22207, USA, under contract to the Southwest Fisheries Science Center, NOAA Fisheries, La Jolla, CA 92037, USA
| | - KD Rode
- Alaska Science Center, US Geological Survey, Anchorage, AK 99508, USA
| | - H Ziel
- Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA Fisheries, Seattle, WA 98115, USA
| | - BL Taylor
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, NOAA Fisheries, La Jolla, CA 92037, USA
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8
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Cagnano G, Lenk I, Roulund N, Jensen CS, Cox MP, Asp T. Mycelial biomass and concentration of loline alkaloids driven by complex population structure in Epichloë uncinata and meadow fescue ( Schedonorus pratensis). Mycologia 2020; 112:474-490. [PMID: 32412888 DOI: 10.1080/00275514.2020.1746607] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Many efforts have been made to select and isolate naturally occurring animal-friendly Epichloë strains for later reinfection into elite cultivars. Often this process involves large-scale screening of Epichloë-infected wild grass populations where strains are characterized and alkaloids measured. Here, we describe for the first time the use of genotyping-by-sequencing (GBS) on a collection of 217 Epichloë-infected grasses (7 S. arundinaceum, 4 L. perenne, and 206 S. pratensis). This genotyping strategy is cheaper than complete genome sequencing, is suitable for a large number of individuals, and, when applied to endophyte-infected grasses, conveniently genotypes both organisms. In total, 6273 single nucleotide polymorphisms (SNPs) in the endophyte data set and 38 323 SNPs in the host data set were obtained. Our findings reveal a composite structure with three distinct endophyte clusters unrelated to the three main S. pratensis gene pools that have most likely spread from different glacial refugia in Eurasia. All three gene pools can establish symbiosis with E. uncinata. A comparison of the endophyte clusters with microsatellite-based fingerprinting of the same samples allows a quick test to discriminate between these clusters using two simple sequence repeats (SSRs). Concentrations of loline alkaloids and mycelial biomass are correlated and differ significantly among the plant and endophyte subpopulations; one endophyte strain has higher levels of lolines than others, and one specific host genotype is particularly suitable to host E. uncinata. These findings pave the way for targeted artificial inoculations of specific host-endophyte combinations to boost loline production in the symbiota and for genome association studies with the aim of isolating genes involved in the compatibility between meadow fescue and E. uncinata.
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Affiliation(s)
- G Cagnano
- DLF Seeds A/S, Højerupvej 31, 4660 Store Heddinge , Denmark
| | - I Lenk
- DLF Seeds A/S, Højerupvej 31, 4660 Store Heddinge , Denmark
| | - N Roulund
- DLF Seeds A/S, Højerupvej 31, 4660 Store Heddinge , Denmark
| | - C S Jensen
- DLF Seeds A/S, Højerupvej 31, 4660 Store Heddinge , Denmark
| | - M P Cox
- Statistics and Bioinformatics Group, School of Fundamental Sciences, Massey University , Palmerston North 4442, New Zealand
| | - T Asp
- Department of Molecular Biology and Genetics, Faculty of Science and Technology, Aarhus University , Aarhus, Denmark
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9
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Zhang Y, Zhou Y, Liu X, Yu H, Li D, Zhang Y. Genetic diversity of the Sichuan snub-nosed monkey (Rhinopithecus roxellana) in Shennongjia National Park, China using RAD-seq analyses. Genetica 2019; 147:327-335. [DOI: 10.1007/s10709-019-00073-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 07/12/2019] [Indexed: 12/30/2022]
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10
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Zhang BD, Xue DX, Li YL, Liu JX. RAD genotyping reveals fine-scale population structure and provides evidence for adaptive divergence in a commercially important fish from the northwestern Pacific Ocean. PeerJ 2019; 7:e7242. [PMID: 31309001 PMCID: PMC6612258 DOI: 10.7717/peerj.7242] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 06/02/2019] [Indexed: 01/08/2023] Open
Abstract
Exploring factors shaping genetic structure of marine fish is challenging due to fewer barriers to gene flow in the ocean. However, genome-wide sequence data can greatly enhance our ability to delineate previously unidentified population structure as well as potential adaptive divergence. The small yellow croaker (Larimichthys polyactis) is a commercially important fish species with high gene flow and its overwintering populations experience heterogeneous environment, suggesting possible population differentiation and adaptive divergence. To delineate patterns of population structure as well as test for signatures of local adaptation, a total of 68,666 quality filtered SNP markers were identified for 80 individuals from four overwintering populations by using restriction site-associated DNA sequencing (RAD-seq). Significant genetic differentiation among overwintering populations from the Central Yellow Sea, the South Yellow Sea and the North East China Sea were detected (Pair-wise FST: 0.00036–0.00390), which were consistent with population division of overwintering groups inferred from traditional ecological approaches. In addition, a total of 126 unique SNPs were detected to be significantly associated with environmental parameters (temperature, salinity and turbidity). These candidate SNPs were involved in multiple pathways such as energy metabolism and phagocytosis, suggesting they may play key roles in growth and innate immunity. Our results suggested the existence of hitherto unrecognized cryptic population structure and local adaptation in this high gene flow marine fish and thus gain new insights into the design of management strategies.
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Affiliation(s)
- Bai-Dong Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Dong-Xiu Xue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Yu-Long Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Jin-Xian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
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11
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Lawrence ER, Benavente JN, Matte JM, Marin K, Wells ZRR, Bernos TA, Krasteva N, Habrich A, Nessel GA, Koumrouyan RA, Fraser DJ. Geo-referenced population-specific microsatellite data across American continents, the MacroPopGen Database. Sci Data 2019; 6:14. [PMID: 30944329 PMCID: PMC6472428 DOI: 10.1038/s41597-019-0024-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 02/25/2019] [Indexed: 01/20/2023] Open
Abstract
Population genetic data from nuclear DNA has yet to be synthesized to allow broad scale comparisons of intraspecific diversity versus species diversity. The MacroPopGen database collates and geo-references vertebrate population genetic data across the Americas from 1,308 nuclear microsatellite DNA studies, 897 species, and 9,090 genetically distinct populations where genetic differentiation (FST) was measured. Caribbean populations were particularly distinguished from North, Central, and South American populations, in having higher differentiation (FST = 0.12 vs. 0.07-0.09) and lower mean numbers of alleles (MNA = 4.11 vs. 4.84-5.54). While mammalian populations had lower MNA (4.86) than anadromous fish, reptiles, amphibians, freshwater fish, and birds (5.34-7.81), mean heterozygosity was largely similar across groups (0.57-0.63). Mean FST was consistently lowest in anadromous fishes (0.06) and birds (0.05) relative to all other groups (0.09-0.11). Significant differences in Family/Genera variance among continental regions or taxonomic groups were also observed. MacroPopGen can be used in many future applications including latitudinal analyses, spatial analyses (e.g. central-margin), taxonomic comparisons, regional assessments of anthropogenic impacts on biodiversity, and conservation of wild populations.
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Affiliation(s)
- Elizabeth R Lawrence
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada.
| | - Javiera N Benavente
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
- School of Environment, University of Auckland, PO Box 92019, Auckland, 1142, New Zealand
| | - Jean-Michel Matte
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
| | - Kia Marin
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
- Golder Associates, 7250, rue du Mile End, 3e étage, Montréal, Québec, H2R 3A4, Canada
| | - Zachery R R Wells
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
- BT Engineering Inc., 100 Craig Henry Drive, Suite 201, Nepean, Ontario, K2G 5W3, Canada
| | - Thaïs A Bernos
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
| | - Nia Krasteva
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
| | - Andrew Habrich
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
- Department of Biology and Centre for Forest-Interdisciplinary Research, University of Winnipeg, Winnipeg, Manitoba, R3B 2E9, Canada
| | - Gabrielle A Nessel
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
| | - Ramela Arax Koumrouyan
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
| | - Dylan J Fraser
- Department of Biology, Concordia University, 7141 Sherbrooke Street W., Montreal, Quebec, H4B 1R6, Canada
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12
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De Keyzer ELR, De Corte Z, Van Steenberge M, Raeymaekers JAM, Calboli FCF, Kmentová N, N’Sibula Mulimbwa T, Virgilio M, Vangestel C, Mulungula PM, Volckaert FAM, Vanhove MPM. First genomic study on Lake Tanganyika sprat Stolothrissa tanganicae: a lack of population structure calls for integrated management of this important fisheries target species. BMC Evol Biol 2019; 19:6. [PMID: 30621593 PMCID: PMC6323704 DOI: 10.1186/s12862-018-1325-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 12/11/2018] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Clupeid fisheries in Lake Tanganyika (East Africa) provide food for millions of people in one of the world's poorest regions. Due to climate change and overfishing, the clupeid stocks of Lake Tanganyika are declining. We investigate the population structure of the Lake Tanganyika sprat Stolothrissa tanganicae, using for the first time a genomic approach on this species. This is an important step towards knowing if the species should be managed separately or as a single stock. Population structure is important for fisheries management, yet understudied for many African freshwater species. We hypothesize that distinct stocks of S. tanganicae could be present due to the large size of the lake (isolation by distance), limnological variation (adaptive evolution), or past separation of the lake (historical subdivision). On the other hand, high mobility of the species and lack of obvious migration barriers might have resulted in a homogenous population. RESULTS We performed a population genetic study on wild-caught S. tanganicae through a combination of mitochondrial genotyping (96 individuals) and RAD sequencing (83 individuals). Samples were collected at five locations along a north-south axis of Lake Tanganyika. The mtDNA data had low global FST and, visualised in a haplotype network, did not show phylogeographic structure. RAD sequencing yielded a panel of 3504 SNPs, with low genetic differentiation (FST = 0.0054; 95% CI: 0.0046-0.0066). PCoA, fineRADstructure and global FST suggest a near-panmictic population. Two distinct groups are apparent in these analyses (FST = 0.1338 95% CI: 0.1239,0.1445), which do not correspond to sampling locations. Autocorrelation analysis showed a slight increase in genetic difference with increasing distance. No outlier loci were detected in the RADseq data. CONCLUSION Our results show at most very weak geographical structuring of the stock and do not provide evidence for genetic adaptation to historical or environmental differences over a north-south axis. Based on these results, we advise to manage the stock as one population, integrating one management strategy over the four riparian countries. These results are a first comprehensive study on the population structure of these important fisheries target species, and can guide fisheries management.
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Affiliation(s)
- Els L. R. De Keyzer
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles Deberiotstraat 32, B-3000 Leuven, Belgium
- Capacities for Biodiversity and Sustainable Development (CEBioS), Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, B-1000, Brussels, Belgium
| | - Zoë De Corte
- Joint Experimental Molecular Unit & Biology Department, Royal Museum for Central Africa, Leuvensesteenweg 13, B-3080 Tervuren, Belgium
- Joint Experimental Molecular Unit & Operational Directorate Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, B-1000 Brussels, Belgium
| | - Maarten Van Steenberge
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles Deberiotstraat 32, B-3000 Leuven, Belgium
- Joint Experimental Molecular Unit & Biology Department, Royal Museum for Central Africa, Leuvensesteenweg 13, B-3080 Tervuren, Belgium
- Joint Experimental Molecular Unit & Operational Directorate Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, B-1000 Brussels, Belgium
| | - Joost A. M. Raeymaekers
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles Deberiotstraat 32, B-3000 Leuven, Belgium
- Faculty of Bioscience and Aquaculture, Nord University, Universitetsalléen 11, N-8026 Bodø, Norway
| | - Federico C. F. Calboli
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles Deberiotstraat 32, B-3000 Leuven, Belgium
| | - Nikol Kmentová
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlářská 2, CZ-611 37 Brno, Czech Republic
| | | | - Massimiliano Virgilio
- Joint Experimental Molecular Unit & Biology Department, Royal Museum for Central Africa, Leuvensesteenweg 13, B-3080 Tervuren, Belgium
| | - Carl Vangestel
- Joint Experimental Molecular Unit & Operational Directorate Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, B-1000 Brussels, Belgium
| | - Pascal Masilya Mulungula
- Département de Biologie, Centre de Recherche en Hydrobiologie, B.P. 73, Uvira, Democratic Republic of Congo
| | - Filip A. M. Volckaert
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles Deberiotstraat 32, B-3000 Leuven, Belgium
| | - Maarten P. M. Vanhove
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Charles Deberiotstraat 32, B-3000 Leuven, Belgium
- Capacities for Biodiversity and Sustainable Development (CEBioS), Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, B-1000, Brussels, Belgium
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlářská 2, CZ-611 37 Brno, Czech Republic
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, P.O.Box 17, FI-00014 Helsinki, Finland
- Hasselt University, Centre for Environmental Sciences, Research Group Zoology: Biodiversity & Toxicology, Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium
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Bohling J, Small M, Von Bargen J, Louden A, DeHaan P. Comparing inferences derived from microsatellite and RADseq datasets: a case study involving threatened bull trout. CONSERV GENET 2019. [DOI: 10.1007/s10592-018-1134-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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14
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Verwimp C, Ruttink T, Muylle H, Van Glabeke S, Cnops G, Quataert P, Honnay O, Roldán-Ruiz I. Temporal changes in genetic diversity and forage yield of perennial ryegrass in monoculture and in combination with red clover in swards. PLoS One 2018; 13:e0206571. [PMID: 30408053 PMCID: PMC6224058 DOI: 10.1371/journal.pone.0206571] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 10/16/2018] [Indexed: 11/30/2022] Open
Abstract
Agricultural grasslands are often cultivated as mixtures of grasses and legumes, and an extensive body of literature is available regarding interspecific interactions, and how these relate to yield and agronomic performance. However, knowledge of the impact of intraspecific diversity on grassland functioning is scarce. We investigated these effects during a 4-year field trial established with perennial ryegrass (Lolium perenne) and red clover (Trifolium pratense). We simulated different levels of intraspecific functional diversity by sowing single cultivars or by combining cultivars with contrasting growth habits, in monospecific or bispecific settings (i.e. perennial ryegrass whether or not in combination with red clover). Replicate field plots were established for seven seed compositions. We determined yield parameters and monitored differences in genetic diversity in the ryegrass component among seed compositions, and temporal changes in the genetic composition and genetic diversity at the within plot level. The composition of cultivars of both species affected the yield and species abundance. In general, the presence of clover had a positive effect on the yield. The cultivar composition of the ryegrass component had a significant effect on the yield, both in monoculture, and in combination with clover. For the genetic analyses, we validated empirically that genotyping-by-sequencing of pooled samples (pool-GBS) is a suitable method for accurate measurement of population allele frequencies, and obtained a dataset of 22,324 SNPs with complete data. We present a method to investigate the temporal dynamics of cultivars in seed mixtures grown under field conditions, and show how cultivar abundances vary during subsequent years. We screened the SNP panel for outlier loci, putatively under selection during the cultivation period, but none were detected.
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Affiliation(s)
- Christophe Verwimp
- Plant Sciences Unit, Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
- Department of Biology, Plant Conservation and Population Biology, University of Leuven, Heverlee, Belgium
| | - Tom Ruttink
- Plant Sciences Unit, Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | - Hilde Muylle
- Plant Sciences Unit, Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | - Sabine Van Glabeke
- Plant Sciences Unit, Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | - Gerda Cnops
- Plant Sciences Unit, Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | - Paul Quataert
- Research Institute for Nature and Forest, Brussels, Belgium
| | - Olivier Honnay
- Department of Biology, Plant Conservation and Population Biology, University of Leuven, Heverlee, Belgium
| | - Isabel Roldán-Ruiz
- Plant Sciences Unit, Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Zwijnaarde, Belgium
- * E-mail:
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15
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Development of genome-wide SNPs for population genetics and population assignment of Sebastiscus marmoratus. CONSERV GENET RESOUR 2018. [DOI: 10.1007/s12686-017-0868-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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16
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Fietz K, Rye Hintze CO, Skovrind M, Kjærgaard Nielsen T, Limborg MT, Krag MA, Palsbøll PJ, Hestbjerg Hansen L, Rask Møller P, Gilbert MTP. Mind the gut: genomic insights to population divergence and gut microbial composition of two marine keystone species. MICROBIOME 2018; 6:82. [PMID: 29720271 PMCID: PMC5932900 DOI: 10.1186/s40168-018-0467-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 03/26/2018] [Indexed: 05/19/2023]
Abstract
BACKGROUND Deciphering the mechanisms governing population genetic divergence and local adaptation across heterogeneous environments is a central theme in marine ecology and conservation. While population divergence and ecological adaptive potential are classically viewed at the genetic level, it has recently been argued that their microbiomes may also contribute to population genetic divergence. We explored whether this might be plausible along the well-described environmental gradient of the Baltic Sea in two species of sand lance (Ammodytes tobianus and Hyperoplus lanceolatus). Specifically, we assessed both their population genetic and gut microbial composition variation and investigated not only which environmental parameters correlate with the observed variation, but whether host genome also correlates with microbiome variation. RESULTS We found a clear genetic structure separating the high-salinity North Sea from the low-salinity Baltic Sea sand lances. The observed genetic divergence was not simply a function of isolation by distance, but correlated with environmental parameters, such as salinity, sea surface temperature, and, in the case of A. tobianus, possibly water microbiota. Furthermore, we detected two distinct genetic groups in Baltic A. tobianus that might represent sympatric spawning types. Investigation of possible drivers of gut microbiome composition variation revealed that host species identity was significantly correlated with the microbial community composition of the gut. A potential influence of host genetic factors on gut microbiome composition was further confirmed by the results of a constrained analysis of principal coordinates. The host genetic component was among the parameters that best explain observed variation in gut microbiome composition. CONCLUSIONS Our findings have relevance for the population structure of two commercial species but also provide insights into potentially relevant genomic and microbial factors with regards to sand lance adaptation across the North Sea-Baltic Sea environmental gradient. Furthermore, our findings support the hypothesis that host genetics may play a role in regulating the gut microbiome at both the interspecific and intraspecific levels. As sequencing costs continue to drop, we anticipate that future studies that include full genome and microbiome sequencing will be able to explore the full relationship and its potential adaptive implications for these species.
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Affiliation(s)
- Katharina Fietz
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
- Marine Evolution and Conservation, Faculty of Science and Engineering, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.
| | - Christian Olaf Rye Hintze
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Mikkel Skovrind
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Tue Kjærgaard Nielsen
- Department of Environmental Science, Environmental Microbial Genomics Group, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Morten T Limborg
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Marcus A Krag
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Per J Palsbøll
- Marine Evolution and Conservation, Faculty of Science and Engineering, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Lars Hestbjerg Hansen
- Department of Environmental Science, Environmental Microbial Genomics Group, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Peter Rask Møller
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Natural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
- NTNU University Museum, 7491, Trondheim, Norway.
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17
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Liu J, You X, Xu P, Zhuang P, Zheng Y, Zhang K, Wang M, Lv Y, Xu G, Zhao F, Wu J, Fan H, Xu J, Ruan Z, Bian C, Liu K, Xu D, Chen J, Xu J, Shi Q. Assessing the genetic diversity of the critically endangered Chinese sturgeon Acipenser sinensis using mitochondrial markers and genome-wide single-nucleotide polymorphisms from RAD-seq. SCIENCE CHINA-LIFE SCIENCES 2018; 61:1090-1098. [PMID: 29948902 DOI: 10.1007/s11427-017-9254-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 11/28/2017] [Indexed: 11/30/2022]
Abstract
As a living fossil, the endangered Chinese sturgeon (Acipenser sinensis) has been considered a national treasure in China. Here, the famous Gezhouba Dam and Three Gorges Dam on the Yangtze River were built in 1988 and 2006, for economic purposes. The natural population of Chinese sturgeon has declined since then, as these dams block its migratory route to the original spawning grounds in the middle reaches of the Yangtze River. In 2013 and 2014, there was an absence of spawning where it typically happened near the Gezhouba Dam. Nevertheless, from April to June in 2015, over 1,000 larvae with different body lengths (10-35 cm) were detected along the Shanghai Yangtze Estuary; but only little is currently known about the population genetic structure of the Chinese sturgeon. Herein, we inferred population genetic parameters from 462 available Chinese sturgeon specimens based on a 421-bp fragment of the mitochondrial DNA (mtDNA) D-loop region and 1,481,620 SNPs (single-nucleotide polymorphisms) generated by restriction site-associated DNA sequencing (RAD-seq). For the D-loop dataset, 15 haplotypes were determined. Randomly picked 23 individuals, representing the 15 D-loop haplotype groups, were subsequently used for further RAD-seq validation. The average nucleotide diversity calculated from the mtDNA and RAD datasets was 0.0086 and 0.000478, respectively. The overall effective female population size was calculated to be 1,255 to 2,607, and the long-term effective population size was estimated to range from 11,950 to 119,500. We observed that the genetic variability and the effective female population size of the current population in the Yangtze River are severely low, which are similar to the data reported over 10 years ago. The deduced relatively small effective population of female fish, limiting the genetic connectivity among Chinese sturgeon, should be considered a serious threat to this endangered species.
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Affiliation(s)
- Jian Liu
- Superintendency Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai, 200092, China
| | - Xinxin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China
| | - Pao Xu
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Ping Zhuang
- Key and Open Laboratory of Marine and Estuarine Fisheries Resources and Ecology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
| | - Yueping Zheng
- Superintendency Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai, 200092, China.,Key and Open Laboratory of Marine and Estuarine Fisheries Resources and Ecology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China.,College of Fisheries and Life Sciences, Shanghai Ocean University, Shanghai, 201306, China
| | - Kai Zhang
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China
| | - Min Wang
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China.,BGI-Zhenjiang Institute of Hydrobiology, Zhenjiang, 212000, China
| | - Yunyun Lv
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China
| | - Gangchun Xu
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Feng Zhao
- Key and Open Laboratory of Marine and Estuarine Fisheries Resources and Ecology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
| | - Jianhui Wu
- Superintendency Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai, 200092, China.,College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China
| | - Houyong Fan
- Superintendency Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai, 200092, China
| | - Jianan Xu
- Superintendency Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai, 200092, China
| | - Zhiqiang Ruan
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China
| | - Chao Bian
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China.,BGI-Zhenjiang Institute of Hydrobiology, Zhenjiang, 212000, China
| | - Kai Liu
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Dongpo Xu
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Jinhui Chen
- Superintendency Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai, 200092, China.
| | - Junmin Xu
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China. .,BGI-Zhenjiang Institute of Hydrobiology, Zhenjiang, 212000, China. .,BGI Research Center for Aquatic Genomics, Chinese Academy of Fishery Sciences, Shenzhen, 518083, China.
| | - Qiong Shi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Marine, BGI, Shenzhen, 518083, China. .,BGI-Zhenjiang Institute of Hydrobiology, Zhenjiang, 212000, China. .,BGI Research Center for Aquatic Genomics, Chinese Academy of Fishery Sciences, Shenzhen, 518083, China. .,Laboratory of Aquatic Genomics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
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Van Wyngaarden M, Snelgrove PVR, DiBacco C, Hamilton LC, Rodríguez‐Ezpeleta N, Zhan L, Beiko RG, Bradbury IR. Oceanographic variation influences spatial genomic structure in the sea scallop, Placopecten magellanicus. Ecol Evol 2018; 8:2824-2841. [PMID: 29531698 PMCID: PMC5838053 DOI: 10.1002/ece3.3846] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 12/05/2017] [Accepted: 12/06/2017] [Indexed: 01/03/2023] Open
Abstract
Environmental factors can influence diversity and population structure in marine species and accurate understanding of this influence can both improve fisheries management and help predict responses to environmental change. We used 7163 SNPs derived from restriction site-associated DNA sequencing genotyped in 245 individuals of the economically important sea scallop, Placopecten magellanicus, to evaluate the correlations between oceanographic variation and a previously identified latitudinal genomic cline. Sea scallops span a broad latitudinal area (>10 degrees), and we hypothesized that climatic variation significantly drives clinal trends in allele frequency. Using a large environmental dataset, including temperature, salinity, chlorophyll a, and nutrient concentrations, we identified a suite of SNPs (285-621, depending on analysis and environmental dataset) potentially under selection through correlations with environmental variation. Principal components analysis of different outlier SNPs and environmental datasets revealed similar northern and southern clusters, with significant associations between the first axes of each (R2adj = .66-.79). Multivariate redundancy analysis of outlier SNPs and the environmental principal components indicated that environmental factors explained more than 32% of the variance. Similarly, multiple linear regressions and random-forest analysis identified winter average and minimum ocean temperatures as significant parameters in the link between genetic and environmental variation. This work indicates that oceanographic variation is associated with the observed genomic cline in this species and that seasonal periods of extreme cold may restrict gene flow along a latitudinal gradient in this marine benthic bivalve. Incorporating this finding into management may improve accuracy of management strategies and future predictions.
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Affiliation(s)
| | - Paul V. R. Snelgrove
- Department of BiologyMemorial University of NewfoundlandSt. John'sNLCanada
- Department of Ocean SciencesMemorial University of NewfoundlandSt. John'sNLCanada
| | | | | | | | - Luyao Zhan
- Faculty of Computer ScienceDalhousie UniversityHalifaxNSCanada
| | - Robert G. Beiko
- Faculty of Computer ScienceDalhousie UniversityHalifaxNSCanada
| | - Ian R. Bradbury
- Faculty of Computer ScienceDalhousie UniversityHalifaxNSCanada
- Fisheries and Oceans CanadaNorthwest Atlantic Fisheries CentreSt. John'sNLCanada
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Armstrong C, Richardson DS, Hipperson H, Horsburgh GJ, Küpper C, Percival‐Alwyn L, Clark M, Burke T, Spurgin LG. Genomic associations with bill length and disease reveal drift and selection across island bird populations. Evol Lett 2018; 2:22-36. [PMID: 30283662 PMCID: PMC6121843 DOI: 10.1002/evl3.38] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 12/19/2017] [Accepted: 12/21/2017] [Indexed: 12/15/2022] Open
Abstract
Island species provide excellent models for investigating how selection and drift operate in wild populations, and for determining how these processes act to influence local adaptation and speciation. Here, we examine the role of selection and drift in shaping genomic and phenotypic variation across recently separated populations of Berthelot's pipit (Anthus berthelotii), a passerine bird endemic to three archipelagos in the Atlantic. We first characterized genetic diversity and population structuring that supported previous inferences of a history of recent colonizations and bottlenecks. We then tested for regions of the genome associated with the ecologically important traits of bill length and malaria infection, both of which vary substantially across populations in this species. We identified a SNP associated with variation in bill length among individuals, islands, and archipelagos; patterns of variation at this SNP suggest that both phenotypic and genotypic variation in bill length is largely shaped by founder effects. Malaria was associated with SNPs near/within genes involved in the immune response, but this relationship was not consistent among archipelagos, supporting the view that disease resistance is complex and rapidly evolving. Although we found little evidence for divergent selection at candidate loci for bill length and malaria resistance, genome scan analyses pointed to several genes related to immunity and metabolism as having important roles in divergence and adaptation. Our findings highlight the utility and challenges involved with combining association mapping and population genetic analysis in nonequilibrium populations, to disentangle the effects of drift and selection on shaping genotypes and phenotypes.
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Affiliation(s)
- Claire Armstrong
- School of Biological Sciences, University of East AngliaNorwich Research ParkNorwich NR4 7TJUnited Kingdom
| | - David S. Richardson
- School of Biological Sciences, University of East AngliaNorwich Research ParkNorwich NR4 7TJUnited Kingdom
| | - Helen Hipperson
- NERC Biomolecular Analysis Facility, Department of Animal and Plant SciencesUniversity of SheffieldSheffield S10 2TNUnited Kingdom
| | - Gavin J. Horsburgh
- NERC Biomolecular Analysis Facility, Department of Animal and Plant SciencesUniversity of SheffieldSheffield S10 2TNUnited Kingdom
| | - Clemens Küpper
- Max Planck Institute for Ornithology82319 SeewiesenGermany
| | | | - Matt Clark
- Earlham InstituteNorwich Research ParkNorwich NR4 7UZUnited Kingdom
| | - Terry Burke
- NERC Biomolecular Analysis Facility, Department of Animal and Plant SciencesUniversity of SheffieldSheffield S10 2TNUnited Kingdom
| | - Lewis G. Spurgin
- School of Biological Sciences, University of East AngliaNorwich Research ParkNorwich NR4 7TJUnited Kingdom
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Hohenlohe PA, Hand BK, Andrews KR, Luikart G. Population Genomics Provides Key Insights in Ecology and Evolution. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2018_20] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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21
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Rodriguez-Ezpeleta N, Álvarez P, Irigoien X. Genetic Diversity and Connectivity in Maurolicus muelleri in the Bay of Biscay Inferred from Thousands of SNP Markers. Front Genet 2017; 8:195. [PMID: 29234350 PMCID: PMC5712365 DOI: 10.3389/fgene.2017.00195] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 11/16/2017] [Indexed: 12/30/2022] Open
Abstract
Mesopelagic fish are largely abundant poorly studied fish that are still intact, but which, due to their potentially great added value, will be imminently exploited by humans. Therefore, studies that provide information to anticipate the anthropogenic impact on this important resource are urgently needed. In particular, knowledge about their connectivity, potential adaptation and resilience are needed. This information can be obtained through the analysis of genome-wide markers which are now relatively easily and cost-efficiently discovered thanks to high-throughput sequencing technologies. Here, we have generated thousands of SNP markers in Maurolicus muelleri, based on the restriction-site associated DNA sequencing method, and preformed population connectivity and genetic diversity analyses in a subset of samples collected from the Bay of Biscay. Our study proves the method valid for obtaining genome-wide markers in this species and provides the first insights into the population genomics of M. muelleri. Importantly, the genomic resources developed here are made available for future studies and set the basics for additional endeavors on this issue.
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23
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Benestan L, Moore JS, Sutherland BJG, Le Luyer J, Maaroufi H, Rougeux C, Normandeau E, Rycroft N, Atema J, Harris LN, Tallman RF, Greenwood SJ, Clark FK, Bernatchez L. Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems. Mol Ecol 2017; 26:6767-6783. [DOI: 10.1111/mec.14217] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 03/23/2017] [Accepted: 03/29/2017] [Indexed: 12/26/2022]
Affiliation(s)
- Laura Benestan
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | - Jean-Sébastien Moore
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | - Ben J. G. Sutherland
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | - Jérémy Le Luyer
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | - Halim Maaroufi
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | - Clément Rougeux
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | - Eric Normandeau
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
| | | | - Jelle Atema
- Department of Biology; Boston University; Boston MA USA
| | - Les N. Harris
- Fisheries and Oceans Canada; Freshwater Institute; Winnipeg MB Canada
| | - Ross F. Tallman
- Fisheries and Oceans Canada; Freshwater Institute; Winnipeg MB Canada
| | - Spencer J. Greenwood
- Department of Biomedical Sciences & AVC Lobster Science Centre; Atlantic Veterinary College; University of Prince Edward Island; Charlottetown PE Canada
| | - Fraser K. Clark
- Department of Biomedical Sciences & AVC Lobster Science Centre; Atlantic Veterinary College; University of Prince Edward Island; Charlottetown PE Canada
| | - Louis Bernatchez
- Département de Biologie; Université Laval; Québec QC Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada
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24
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Kang J, Ma X, He S. Population genetics analysis of the Nujiang catfish Creteuchiloglanis macropterus through a genome-wide single nucleotide polymorphisms resource generated by RAD-seq. Sci Rep 2017; 7:2813. [PMID: 28588195 PMCID: PMC5460224 DOI: 10.1038/s41598-017-02853-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 04/20/2017] [Indexed: 01/03/2023] Open
Abstract
Advances in genome scanning using high-throughput sequencing technologies has led to a revolution in studies of non-model organisms. The glyptosternoid fish Creteuchiloglanis macropterus, is widely distributed in the main stem and tributaries of the Nujiang River basin. Here, we analyzed IIB restriction-site-associated DNA (2b-RAD) sequences and mitochondrial DNA sequences, to assess the genomic signature of adaptation by detecting and estimating the degree of genetic differentiation among ten Creteuchiloglanis macropterus populations from the Nujiang River. The analyses revealed significant population differentiation among the up-tributaries, main stem, mid-tributary and low-tributary. Annotation of contigs containing outlier SNPs revealed that the candidate genes showed significant enrichment in several important biological process terms between up-tributaries and low-tributary, and exhibited prominent enrichment in the term macromolecular metabolic process between all tributaries and the main stem. Population dynamics analyses indicated that the Late Pleistocene glaciations strongly influenced the demographic history of C. macropterus. Our results provide strong evidence for the utility of RAD-seq in population genetics studies, and our generated SNP resource should provide a valuable tool for population genomics studies of C. macropterus in the future.
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Affiliation(s)
- Jingliang Kang
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiuhui Ma
- College of Animal Science, Guizhou University, Guizhou, 550025, China
| | - Shunping He
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China.
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25
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Xu S, Song N, Zhao L, Cai S, Han Z, Gao T. Genomic evidence for local adaptation in the ovoviviparous marine fish Sebastiscus marmoratus with a background of population homogeneity. Sci Rep 2017; 7:1562. [PMID: 28484228 PMCID: PMC5431535 DOI: 10.1038/s41598-017-01742-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 04/07/2017] [Indexed: 11/09/2022] Open
Abstract
Advances in next-generation sequencing techniques have allowed for the generation of genome-wide sequence data, to gain insight into the dynamics influencing genetic structure and the local adaptation of marine fish. Here, using genotyping-by-sequencing (GBS) technique, we identified 31,119 single nucleotide polymorphisms (SNPs) for Sebastiscus marmoratus in 59 individuals from three populations in Chinese coastal waters. Based on all SNPs, there was little evidence of genetic differentiation among populations. However, outlier tests revealed 329 SNPs putatively under divergent selection across populations. Structural and phylogenetic topology analyses based on the outliers showed clear genetic differentiation among populations. Gene Ontology (GO) annotation results revealed that most of these outliers are known or hypothesized to be involved in metabolic process. Together with previous work using mitochondrial cytochrome b sequences, the present results further suggest that the population structure is strongly influenced by locally adaptive pressure. Overall, adaptive evolution in a heterogeneous environment plays an important role in inducing genetic differentiation among local populations. This study increases understanding of the factors (including gene flow and local adaptation) promoting and constraining population genetic differentiation in marine organisms.
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Affiliation(s)
- Shengyong Xu
- Institute of Evolution & Marine Biodiversity, Ocean University of China, 5th Yushan Road, Qingdao, 266003, P.R. China
| | - Na Song
- Institute of Evolution & Marine Biodiversity, Ocean University of China, 5th Yushan Road, Qingdao, 266003, P.R. China
| | - Linlin Zhao
- The First Institute of Oceanography, State Oceanic Administration, 6th Xianxialing Road, Qingdao, 266061, P.R. China
| | - Shanshan Cai
- Fishery College, Zhejiang Ocean University, 1st Haidanan Road, Zhoushan, 316022, P.R. China
| | - Zhiqiang Han
- Fishery College, Zhejiang Ocean University, 1st Haidanan Road, Zhoushan, 316022, P.R. China.
| | - Tianxiang Gao
- Fishery College, Zhejiang Ocean University, 1st Haidanan Road, Zhoushan, 316022, P.R. China.
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26
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DiBattista JD, Saenz-Agudelo P, Piatek MJ, Wang X, Aranda M, Berumen ML. Using a butterflyfish genome as a general tool for RAD-Seq studies in specialized reef fish. Mol Ecol Resour 2017; 17:1330-1341. [PMID: 28236665 DOI: 10.1111/1755-0998.12662] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 02/11/2017] [Accepted: 02/16/2017] [Indexed: 01/07/2023]
Abstract
Data from a large-scale restriction site-associated DNA sequencing (RAD-Seq) study of nine butterflyfish species in the Red Sea and Arabian Sea provided a means to test the utility of a recently published draft genome (Chaetodon austriacus) and assess apparent bias in this method of isolating nuclear loci. We here processed double-digest restriction site-associated DNA (ddRAD) sequencing data to identify single nucleotide polymorphism (SNP) markers and their associated function with and without our reference genome to see whether it improves the quality of RAD-Seq. Our analyses indicate (i) a modest gap between the number of nonannotated versus annotated SNPs across all species, (ii) an advantage of using genomic resources for closely related but not distantly related butterflyfish species based on the ability to assign putative gene function to SNPs and (iii) an enrichment of genes among sister butterflyfish taxa related to calcium transmembrane transport and binding. The latter result highlights the potential for this approach to reveal insights into adaptive mechanisms in populations inhabiting challenging coral reef environments such as the Red Sea, Arabian Sea and Arabian Gulf with further study.
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Affiliation(s)
- Joseph D DiBattista
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia.,Department of Environment and Agriculture, Curtin University, PO Box U1987, Perth, WA, 6845, Australia
| | - Pablo Saenz-Agudelo
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia.,Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, 5090000, Chile
| | - Marek J Piatek
- Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Xin Wang
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
| | - Manuel Aranda
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
| | - Michael L Berumen
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
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27
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Fine-scale genetic structure due to adaptive divergence among microhabitats. Heredity (Edinb) 2017; 118:594-604. [PMID: 28295034 DOI: 10.1038/hdy.2017.6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 01/20/2016] [Accepted: 01/22/2017] [Indexed: 02/03/2023] Open
Abstract
It has been suggested that adaptive evolution on ecological timescales shapes communities. However, adaptation among environments relies on isolation or large selection coefficients that exceed migration effects. This reliance is tempered if adaptation is polygenic-does not depend on one allele completely replacing another but instead requires small allele frequency changes at many loci. Thus, whether individuals can evolve adaptation to fine-scale habitat variation (for example, microhabitats) is not resolved. Here we analyze the genetic divergence of the teleost fish, Fundulus heteroclitus, among microhabitats that are <200 m apart in three separate saltmarshes using 4741 single-nucleotide polymorphisms (SNPs). Among these SNPs, 1.3-2.3% have large and highly significant differences among microhabitats (mean FST=0.15; false discovery rate ⩽1%). The divergence among microhabitats for these outlier SNPs is larger than that among populations, exceeds neutral expectation and indicates surprising population structure among microhabitats. Thus, we suggest that polygenic selection is surprisingly effective in altering allele frequencies among many different SNPs that share similar biological functions in response to environmental and ecological differences over very small geographic distances. We acknowledge the evolutionary difficulty of large genetic divergence among well-connected habitats. Therefore, these studies are only the first step to discern whether natural selection is responsible and capable of effecting genetic divergence on such a fine scale.
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28
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Branch CL, Jahner JP, Kozlovsky DY, Parchman TL, Pravosudov VV. Absence of population structure across elevational gradients despite large phenotypic variation in mountain chickadees ( Poecile gambeli). ROYAL SOCIETY OPEN SCIENCE 2017; 4:170057. [PMID: 28405402 PMCID: PMC5383859 DOI: 10.1098/rsos.170057] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 02/16/2017] [Indexed: 06/07/2023]
Abstract
Montane habitats are characterized by predictably rapid heterogeneity along elevational gradients and are useful for investigating the consequences of environmental heterogeneity for local adaptation and population genetic structure. Food-caching mountain chickadees inhabit a continuous elevation gradient in the Sierra Nevada, and birds living at harsher, high elevations have better spatial memory ability and exhibit differences in male song structure and female mate preference compared to birds inhabiting milder, low elevations. While high elevation birds breed, on average, two weeks later than low elevation birds, the extent of gene flow between elevations is unknown. Despite phenotypic variation and indirect evidence for local adaptation, population genetic analyses based on 18 073 single nucleotide polymorphisms across three transects of high and low elevation populations provided no evidence for genetic differentiation. Analyses based on individual genotypes revealed no patterns of clustering, pairwise estimates of genetic differentiation (FST, Nei's D) were very low, and AMOVA revealed no evidence for genetic variation structured by transect or by low and high elevation sites within transects. In addition, we found no consistent evidence for strong parallel allele frequency divergence between low and high elevation sites within the three transects. Large elevation-related phenotypic variation may be maintained by strong selection despite gene flow and future work should focus on the mechanisms underlying such variation.
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29
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Van Wyngaarden M, Snelgrove PVR, DiBacco C, Hamilton LC, Rodríguez‐Ezpeleta N, Jeffery NW, Stanley RRE, Bradbury IR. Identifying patterns of dispersal, connectivity and selection in the sea scallop, Placopecten magellanicus, using RADseq-derived SNPs. Evol Appl 2017; 10:102-117. [PMID: 28035239 PMCID: PMC5192885 DOI: 10.1111/eva.12432] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 08/23/2016] [Indexed: 12/29/2022] Open
Abstract
Understanding patterns of dispersal and connectivity among marine populations can directly inform fisheries conservation and management. Advances in high-throughput sequencing offer new opportunities for estimating marine connectivity. We used restriction-site-associated DNA sequencing to examine dispersal and realized connectivity in the sea scallop Placopecten magellanicus, an economically important marine bivalve. Based on 245 individuals sampled rangewide at 12 locations from Newfoundland to the Mid-Atlantic Bight, we identified and genotyped 7163 single nucleotide polymorphisms; 112 (1.6%) were identified as outliers potentially under directional selection. Bayesian clustering revealed a discontinuity between northern and southern samples, and latitudinal clines in allele frequencies were observed in 42.9% of the outlier loci and in 24.6% of neutral loci. Dispersal estimates derived using these clines and estimates of linkage disequilibrium imply limited dispersal; 373.1 ± 407.0 km (mean ± SD) for outlier loci and 641.0 ± 544.6 km (mean ± SD) for neutral loci. Our analysis suggests restricted dispersal compared to the species range (>2000 km) and that dispersal and effective connectivity differ. These observations support the hypothesis that limited effective dispersal structures scallop populations along eastern North America. These findings can help refine the appropriate scale of management and conservation in this commercially valuable species.
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Affiliation(s)
| | - Paul V. R. Snelgrove
- Department of BiologyMemorial University of NewfoundlandSt. John'sNLCanada
- Department of Ocean SciencesMemorial University of NewfoundlandSt. John'sNLCanada
| | | | | | | | - Nicholas W. Jeffery
- Fisheries and Oceans CanadaNorthwest Atlantic Fisheries CentreSt. John'sNLCanada
| | - Ryan R. E. Stanley
- Bedford Institute of OceanographyDartmouthNSCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNSCanada
| | - Ian R. Bradbury
- Department of Ocean SciencesMemorial University of NewfoundlandSt. John'sNLCanada
- Fisheries and Oceans CanadaNorthwest Atlantic Fisheries CentreSt. John'sNLCanada
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30
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Torres-Martínez L, Weldy P, Levy M, Emery NC. Spatiotemporal heterogeneity in precipitation patterns explain population-level germination strategies in an edaphic specialist. ANNALS OF BOTANY 2017; 119:253-265. [PMID: 27551027 PMCID: PMC5321057 DOI: 10.1093/aob/mcw161] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Revised: 04/24/2016] [Accepted: 06/10/2016] [Indexed: 05/06/2023]
Abstract
BACKGROUND AND AIMS Many locally endemic species in biodiversity hotspots are restricted to edaphic conditions that are fixed in the landscape, limiting their potential to track climate change through dispersal. Instead, such species experience strong selection for germination strategies that can track suitable conditions through time. Germination strategies were compared among populations across the geographic range of a California vernal pool annual, Lasthenia fremontii Local germination strategies were tested to determine the associations with geographic variation in precipitation patterns. METHODS This study evaluated patterns of seed germination, dormancy and mortality in response to simulated variation in the timing, amount and duration of the first autumn precipitation event using seeds from six populations that span a geographic gradient in precipitation. Next, it was tested whether the germination strategies of different populations can be predicted by historical precipitation patterns that characterize each site. KEY RESULTS A significant positive relationship was observed between the historical variability in autumn precipitation and the extent of dormancy in a population. Marginal populations, with histories of the most extreme but constant autumn precipitation levels, expressed the lowest dormancy levels. Populations from sites with historically higher levels of autumn precipitation tended to germinate faster, but this tendency was not statistically significant. CONCLUSIONS Germination in L. fremontii is cued by the onset of the first rains that characterize the beginning of winter in California's Great Central Valley. However, populations differ in how fast they germinate and the fraction of seeds that remain dormant when germination cues occur. The results suggest that seed dormancy may be a key trait for populations to track increasingly drier climates predicted by climate change models. However, the low dormancy and high mortality levels observed among seeds of the southernmost, driest populations make them most vulnerable to local extinction.
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Affiliation(s)
- Lorena Torres-Martínez
- Department of Biological Sciences, Purdue University, 915 W. State Street, West Lafayette, IN 47907-2054, USA
| | - Phillip Weldy
- Department of Biological Sciences, Purdue University, 915 W. State Street, West Lafayette, IN 47907-2054, USA
| | - Morris Levy
- Department of Biological Sciences, Purdue University, 915 W. State Street, West Lafayette, IN 47907-2054, USA
| | - Nancy C Emery
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Campus Box 334, University of Colorado, Boulder, CO 80309-0334, USA
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31
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Bernatchez L. On the maintenance of genetic variation and adaptation to environmental change: considerations from population genomics in fishes. JOURNAL OF FISH BIOLOGY 2016; 89:2519-2556. [PMID: 27687146 DOI: 10.1111/jfb.13145] [Citation(s) in RCA: 114] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2016] [Accepted: 08/23/2016] [Indexed: 05/18/2023]
Abstract
The first goal of this paper was to overview modern approaches to local adaptation, with a focus on the use of population genomics data to detect signals of natural selection in fishes. Several mechanisms are discussed that may enhance the maintenance of genetic variation and evolutionary potential, which have been overlooked and should be considered in future theoretical development and predictive models: the prevalence of soft sweeps, polygenic basis of adaptation, balancing selection and transient polymorphisms, parallel evolution, as well as epigenetic variation. Research on fish population genomics has provided ample evidence for local adaptation at the genome level. Pervasive adaptive evolution, however, seems to almost never involve the fixation of beneficial alleles. Instead, adaptation apparently proceeds most commonly by soft sweeps entailing shifts in frequencies of alleles being shared between differentially adapted populations. One obvious factor contributing to the maintenance of standing genetic variation in the face of selective pressures is that adaptive phenotypic traits are most often highly polygenic, and consequently the response to selection should derive mostly from allelic co-variances among causative loci rather than pronounced allele frequency changes. Balancing selection in its various forms may also play an important role in maintaining adaptive genetic variation and the evolutionary potential of species to cope with environmental change. A large body of literature on fishes also shows that repeated evolution of adaptive phenotypes is a ubiquitous evolutionary phenomenon that seems to occur most often via different genetic solutions, further adding to the potential options of species to cope with a changing environment. Moreover, a paradox is emerging from recent fish studies whereby populations of highly reduced effective population sizes and impoverished genetic diversity can apparently retain their adaptive potential in some circumstances. Although more empirical support is needed, several recent studies suggest that epigenetic variation could account for this apparent paradox. Therefore, epigenetic variation should be fully integrated with considerations pertaining to role of soft sweeps, polygenic and balancing selection, as well as repeated adaptation involving different genetic basis towards improving models predicting the evolutionary potential of species to cope with a changing world.
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Affiliation(s)
- L Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, G1Y 2T8, Canada
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32
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Everett MV, Park LK, Berntson EA, Elz AE, Whitmire CE, Keller AA, Clarke ME. Large-Scale Genotyping-by-Sequencing Indicates High Levels of Gene Flow in the Deep-Sea Octocoral Swiftia simplex (Nutting 1909) on the West Coast of the United States. PLoS One 2016; 11:e0165279. [PMID: 27798660 PMCID: PMC5087884 DOI: 10.1371/journal.pone.0165279] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 10/10/2016] [Indexed: 11/26/2022] Open
Abstract
Deep-sea corals are a critical component of habitat in the deep-sea, existing as regional hotspots for biodiversity, and are associated with increased assemblages of fish, including commercially important species. Because sampling these species is so difficult, little is known about the connectivity and life history of deep-sea octocoral populations. This study evaluates the genetic connectivity among 23 individuals of the deep-sea octocoral Swiftia simplex collected from Eastern Pacific waters along the west coast of the United States. We utilized high-throughput restriction-site associated DNA (RAD)-tag sequencing to develop the first molecular genetic resource for the deep-sea octocoral, Swiftia simplex. Using this technique we discovered thousands of putative genome-wide SNPs in this species, and after quality control, successfully genotyped 1,145 SNPs across individuals sampled from California to Washington. These SNPs were used to assess putative population structure across the region. A STRUCTURE analysis as well as a principal coordinates analysis both failed to detect any population differentiation across all geographic areas in these collections. Additionally, after assigning individuals to putative population groups geographically, no significant FST values could be detected (FST for the full data set 0.0056), and no significant isolation by distance could be detected (p = 0.999). Taken together, these results indicate a high degree of connectivity and potential panmixia in S. simplex along this portion of the continental shelf.
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Affiliation(s)
- Meredith V Everett
- National Research Council, under contract to Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
| | - Linda K Park
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
| | - Ewann A Berntson
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
| | - Anna E Elz
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
| | - Curt E Whitmire
- Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
| | - Aimee A Keller
- Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
| | - M Elizabeth Clarke
- Office of the Science Director, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States of America
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33
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Cammen KM, Andrews KR, Carroll EL, Foote AD, Humble E, Khudyakov JI, Louis M, McGowen MR, Olsen MT, Van Cise AM. Genomic Methods Take the Plunge: Recent Advances in High-Throughput Sequencing of Marine Mammals. J Hered 2016; 107:481-95. [PMID: 27511190 DOI: 10.1093/jhered/esw044] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 07/12/2016] [Indexed: 12/18/2022] Open
Abstract
The dramatic increase in the application of genomic techniques to non-model organisms (NMOs) over the past decade has yielded numerous valuable contributions to evolutionary biology and ecology, many of which would not have been possible with traditional genetic markers. We review this recent progression with a particular focus on genomic studies of marine mammals, a group of taxa that represent key macroevolutionary transitions from terrestrial to marine environments and for which available genomic resources have recently undergone notable rapid growth. Genomic studies of NMOs utilize an expanding range of approaches, including whole genome sequencing, restriction site-associated DNA sequencing, array-based sequencing of single nucleotide polymorphisms and target sequence probes (e.g., exomes), and transcriptome sequencing. These approaches generate different types and quantities of data, and many can be applied with limited or no prior genomic resources, thus overcoming one traditional limitation of research on NMOs. Within marine mammals, such studies have thus far yielded significant contributions to the fields of phylogenomics and comparative genomics, as well as enabled investigations of fitness, demography, and population structure. Here we review the primary options for generating genomic data, introduce several emerging techniques, and discuss the suitability of each approach for different applications in the study of NMOs.
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Affiliation(s)
- Kristina M Cammen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise).
| | - Kimberly R Andrews
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Emma L Carroll
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Andrew D Foote
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Emily Humble
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Jane I Khudyakov
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Marie Louis
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Michael R McGowen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Morten Tange Olsen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Amy M Van Cise
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
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Jahner JP, Gibson D, Weitzman CL, Blomberg EJ, Sedinger JS, Parchman TL. Fine-scale genetic structure among greater sage-grouse leks in central Nevada. BMC Evol Biol 2016; 16:127. [PMID: 27301494 PMCID: PMC4908695 DOI: 10.1186/s12862-016-0702-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 06/07/2016] [Indexed: 01/07/2023] Open
Abstract
Background Mating systems that reduce dispersal and lead to non-random mating might increase the potential for genetic structure to arise at fine geographic scales. Greater sage-grouse (Centrocercus urophasianus) have a lek-based mating system and exhibit high site fidelity and skewed mating ratios. We quantified population structure by analyzing variation at 27,866 single-nucleotide polymorphisms in 140 males from ten leks (within five lek complexes) occurring in a small geographic region in central Nevada. Results Lek complexes, and to a lesser extent individual leks, formed statistically identifiable clusters in ordination analyses, providing evidence for fine-scale geographic genetic differentiation. Lek geography predicted genetic differentiation even at a small geographic scale, which could be sharpened by strong site fidelity. Relatedness was also higher among individuals within lek complexes (and leks), suggesting that reproductive skew, where few males participate in most of the successful matings, could also potentially contribute to genetic differentiation. Models incorporating a habitat resistance surface as a proxy for potentially reduced movement due to landscape features indicated that both geographic distance and habitat suitability (i.e. preferred habitat) predicted genetic structure, with no significant effect of man-made barriers to movement (i.e. power lines and roads). Finally, we illustrate how data sets containing fewer loci (<4000) had less statistical precision and failed to detect the full degree of genetic structure. Conclusion Our results suggest that habitat features and lek site geography of sage-grouse shape fine scale genetic structure, and highlight how larger data sets can have increased precision and accuracy for quantifying ecologically relevant genetic structure over small geographic scales. Electronic supplementary material The online version of this article (doi:10.1186/s12862-016-0702-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joshua P Jahner
- Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA. .,Department of Biology, University of Nevada, Reno, NV, 89557, USA.
| | - Daniel Gibson
- Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA.,Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, 89557, USA
| | - Chava L Weitzman
- Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA.,Department of Biology, University of Nevada, Reno, NV, 89557, USA
| | - Erik J Blomberg
- Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA.,Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, 89557, USA.,Department of Wildlife, Fisheries, and Conservation Biology, University of Maine, Orono, ME, 04469, USA
| | - James S Sedinger
- Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA.,Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, 89557, USA
| | - Thomas L Parchman
- Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno, NV, 89557, USA.,Department of Biology, University of Nevada, Reno, NV, 89557, USA
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35
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Guo B, Li Z, Merilä J. Population genomic evidence for adaptive differentiation in the Baltic Sea herring. Mol Ecol 2016; 25:2833-52. [DOI: 10.1111/mec.13657] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 03/31/2016] [Accepted: 04/14/2016] [Indexed: 01/30/2023]
Affiliation(s)
- Baocheng Guo
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 Helsinki FI-00014 Finland
| | - Zitong Li
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 Helsinki FI-00014 Finland
| | - Juha Merilä
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 Helsinki FI-00014 Finland
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36
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Bekkevold D, Gross R, Arula T, Helyar SJ, Ojaveer H. Outlier Loci Detect Intraspecific Biodiversity amongst Spring and Autumn Spawning Herring across Local Scales. PLoS One 2016; 11:e0148499. [PMID: 27050440 PMCID: PMC4822851 DOI: 10.1371/journal.pone.0148499] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Accepted: 01/19/2016] [Indexed: 11/18/2022] Open
Abstract
Herring, Clupea harengus, is one of the ecologically and commercially most important species in European northern seas, where two distinct ecotypes have been described based on spawning time; spring and autumn. To date, it is unknown if these spring and autumn spawning herring constitute genetically distinct units. We assessed levels of genetic divergence between spring and autumn spawning herring in the Baltic Sea using two types of DNA markers, microsatellites and Single Nucleotide Polymorphisms, and compared the results with data for autumn spawning North Sea herring. Temporally replicated analyses reveal clear genetic differences between ecotypes and hence support reproductive isolation. Loci showing non-neutral behaviour, so-called outlier loci, show convergence between autumn spawning herring from demographically disjoint populations, potentially reflecting selective processes associated with autumn spawning ecotypes. The abundance and exploitation of the two ecotypes have varied strongly over space and time in the Baltic Sea, where autumn spawners have faced strong depression for decades. The results therefore have practical implications by highlighting the need for specific management of these co-occurring ecotypes to meet requirements for sustainable exploitation and ensure optimal livelihood for coastal communities.
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Affiliation(s)
- Dorte Bekkevold
- Technical University of Denmark, National Institute of Aquatic Resources, Charlottenlund, Denmark
- * E-mail:
| | - Riho Gross
- Estonian University of Life Sciences, Institute of Veterinary Medicine and Animal Sciences, Department of Aquaculture, Tartu, Estonia
| | - Timo Arula
- University of Tartu, Estonian Marine Institute, Pärnu, Estonia
| | - Sarah J. Helyar
- Institute for Global Food Security, Queen’s University Belfast, Belfast, United Kingdom
| | - Henn Ojaveer
- University of Tartu, Estonian Marine Institute, Pärnu, Estonia
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37
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Crawford DL, Oleksiak MF. Ecological population genomics in the marine environment. Brief Funct Genomics 2016; 15:342-51. [DOI: 10.1093/bfgp/elw008] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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38
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Rodríguez-Ezpeleta N, Bradbury IR, Mendibil I, Álvarez P, Cotano U, Irigoien X. Population structure of Atlantic mackerel inferred from RAD-seq-derived SNP markers: effects of sequence clustering parameters and hierarchical SNP selection. Mol Ecol Resour 2016; 16:991-1001. [DOI: 10.1111/1755-0998.12518] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2015] [Revised: 01/31/2016] [Accepted: 02/26/2016] [Indexed: 12/20/2022]
Affiliation(s)
| | - Ian R. Bradbury
- Department of Fisheries and Oceans; St. John's NF A1C 5X1 Canada
| | - Iñaki Mendibil
- Marine Research Division; AZTI; Txatxarramend ugartea z/g Sukarrieta 48395 Bizkaia Spain
| | - Paula Álvarez
- Marine Research Division; AZTI; Txatxarramend ugartea z/g Sukarrieta 48395 Bizkaia Spain
| | - Unai Cotano
- Marine Research Division; AZTI; Txatxarramend ugartea z/g Sukarrieta 48395 Bizkaia Spain
| | - Xabier Irigoien
- Red Sea Research Center; King Abdullah University of Technology; Thuwal 23955 Saudi Arabia
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Berg PR, Star B, Pampoulie C, Sodeland M, Barth JMI, Knutsen H, Jakobsen KS, Jentoft S. Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod. Sci Rep 2016; 6:23246. [PMID: 26983361 PMCID: PMC4794648 DOI: 10.1038/srep23246] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 03/02/2016] [Indexed: 12/15/2022] Open
Abstract
Identification of genome-wide patterns of divergence provides insight on how genomes are influenced by selection and can reveal the potential for local adaptation in spatially structured populations. In Atlantic cod – historically a major marine resource – Northeast-Arctic- and Norwegian coastal cod are recognized by fundamental differences in migratory and non-migratory behavior, respectively. However, the genomic architecture underlying such behavioral ecotypes is unclear. Here, we have analyzed more than 8.000 polymorphic SNPs distributed throughout all 23 linkage groups and show that loci putatively under selection are localized within three distinct genomic regions, each of several megabases long, covering approximately 4% of the Atlantic cod genome. These regions likely represent genomic inversions. The frequency of these distinct regions differ markedly between the ecotypes, spawning in the vicinity of each other, which contrasts with the low level of divergence in the rest of the genome. The observed patterns strongly suggest that these chromosomal rearrangements are instrumental in local adaptation and separation of Atlantic cod populations, leaving footprints of large genomic regions under selection. Our findings demonstrate the power of using genomic information in further understanding the population dynamics and defining management units in one of the world’s most economically important marine resources.
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Affiliation(s)
- Paul R Berg
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
| | - Bastiaan Star
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
| | | | - Marte Sodeland
- Institute of Marine Research, Flødevigen, N-4817 His, Norway.,Department of Natural Sciences, University of Agder, N-4604 Kristiansand, Norway
| | - Julia M I Barth
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
| | - Halvor Knutsen
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway.,Institute of Marine Research, Flødevigen, N-4817 His, Norway.,Department of Natural Sciences, University of Agder, N-4604 Kristiansand, Norway
| | - Kjetill S Jakobsen
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, N-0316 Oslo, Norway.,Department of Natural Sciences, University of Agder, N-4604 Kristiansand, Norway
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40
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Torres-Martínez L, Emery NC. Genome-wide SNP discovery in the annual herb, Lasthenia fremontii (Asteraceae): genetic resources for the conservation and restoration of a California vernal pool endemic. CONSERV GENET RESOUR 2016. [DOI: 10.1007/s12686-016-0524-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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41
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Zhang BD, Xue DX, Wang J, Li YL, Liu BJ, Liu JX. Development and preliminary evaluation of a genomewide single nucleotide polymorphisms resource generated by RAD-seq for the small yellow croaker (Larimichthys polyactis). Mol Ecol Resour 2015; 16:755-68. [PMID: 26439680 DOI: 10.1111/1755-0998.12476] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 09/28/2015] [Accepted: 09/30/2015] [Indexed: 01/30/2023]
Abstract
Recent advances in high-throughput sequencing technologies have offered the possibility to generate genomewide sequence data to delineate previously unidentified genetic structure, obtain more accurate estimates of demographic parameters and to evaluate potential adaptive divergence. Here, we identified 27 556 single nucleotide polymorphisms for the small yellow croaker (Larimichthys polyactis) using restriction-site-associated DNA (RAD) sequencing of 24 individuals from two populations. Significant sources of genetic variation were identified, with an average nucleotide diversity (π) of 0.00105 ± 0.000425 across individuals, and long-term effective population size was thus estimated to range between 26 172 and 261 716. According to the results, no differentiation between the two populations was detected based on the SNP data set of top quality score per contig or neutral loci. However, the two analysed populations were highly differentiated based on SNP data set of both top FST value per contig and the outlier SNPs. Moreover, local adaptation was highlighted by an FST -based outlier tests implemented in LOSITAN and a total of 538 potentially locally selected SNPs were identified. blast2go annotation of contigs containing the outlier SNPs yielded hits for 37 (66%) of 56 significant blastx matches. Candidate genes for local adaptation constituted a wide array of biological functions, including cellular response to oxidative stress, actin filament binding, ion transmembrane transport and synapse assembly. The generated SNP resources in this study provided a valuable tool for future population genetics and genomics studies of L. polyactis.
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Affiliation(s)
- Bai-Dong Zhang
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Dong-Xiu Xue
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Juan Wang
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Yu-Long Li
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Bing-Jian Liu
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jin-Xian Liu
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
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42
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Fracassetti M, Griffin PC, Willi Y. Validation of Pooled Whole-Genome Re-Sequencing in Arabidopsis lyrata. PLoS One 2015; 10:e0140462. [PMID: 26461136 PMCID: PMC4604096 DOI: 10.1371/journal.pone.0140462] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 09/25/2015] [Indexed: 12/21/2022] Open
Abstract
Sequencing pooled DNA of multiple individuals from a population instead of sequencing individuals separately has become popular due to its cost-effectiveness and simple wet-lab protocol, although some criticism of this approach remains. Here we validated a protocol for pooled whole-genome re-sequencing (Pool-seq) of Arabidopsis lyrata libraries prepared with low amounts of DNA (1.6 ng per individual). The validation was based on comparing single nucleotide polymorphism (SNP) frequencies obtained by pooling with those obtained by individual-based Genotyping By Sequencing (GBS). Furthermore, we investigated the effect of sample number, sequencing depth per individual and variant caller on population SNP frequency estimates. For Pool-seq data, we compared frequency estimates from two SNP callers, VarScan and Snape; the former employs a frequentist SNP calling approach while the latter uses a Bayesian approach. Results revealed concordance correlation coefficients well above 0.8, confirming that Pool-seq is a valid method for acquiring population-level SNP frequency data. Higher accuracy was achieved by pooling more samples (25 compared to 14) and working with higher sequencing depth (4.1× per individual compared to 1.4× per individual), which increased the concordance correlation coefficient to 0.955. The Bayesian-based SNP caller produced somewhat higher concordance correlation coefficients, particularly at low sequencing depth. We recommend pooling at least 25 individuals combined with sequencing at a depth of 100× to produce satisfactory frequency estimates for common SNPs (minor allele frequency above 0.05).
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Affiliation(s)
- Marco Fracassetti
- Institute of Biology, Evolutionary Botany, University of Neuchâtel, Neuchâtel, Switzerland
- * E-mail:
| | - Philippa C. Griffin
- Institute of Biology, Evolutionary Botany, University of Neuchâtel, Neuchâtel, Switzerland
- School of BioSciences, University of Melbourne, Parkville, Victoria, Australia
| | - Yvonne Willi
- Institute of Biology, Evolutionary Botany, University of Neuchâtel, Neuchâtel, Switzerland
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43
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Gonen S, Bishop SC, Houston RD. Exploring the utility of cross-laboratory RAD-sequencing datasets for phylogenetic analysis. BMC Res Notes 2015; 8:299. [PMID: 26152111 PMCID: PMC4495686 DOI: 10.1186/s13104-015-1261-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Accepted: 06/25/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Restriction site-Associated DNA sequencing (RAD-Seq) is widely applied to generate genome-wide sequence and genetic marker datasets. RAD-Seq has been extensively utilised, both at the population level and across species, for example in the construction of phylogenetic trees. However, the consistency of RAD-Seq data generated in different laboratories, and the potential use of cross-species orthologous RAD loci in the estimation of genetic relationships, have not been widely investigated. This study describes the use of SbfI RAD-Seq data for the estimation of evolutionary relationships amongst ten teleost fish species, using previously established phylogeny as a benchmark. RESULTS The number of orthologous SbfI RAD loci identified decreased with increasing evolutionary distance between the species, with several thousand loci conserved across five salmonid species (divergence ~50 MY), and several hundred conserved across the more distantly related teleost species (divergence ~100-360 MY). The majority (>70%) of loci identified between the more distantly related species were genic in origin, suggesting that the bias of SbfI towards genic regions is useful for identifying distant orthologs. Interspecific single nucleotide variants at each orthologous RAD locus were identified. Evolutionary relationships estimated using concatenated sequences of interspecific variants were congruent with previously published phylogenies, even for distantly (divergence up to ~360 MY) related species. CONCLUSION Overall, this study has demonstrated that orthologous SbfI RAD loci can be identified across closely and distantly related species. This has positive implications for the repeatability of SbfI RAD-Seq and its potential to address research questions beyond the scope of the original studies. Furthermore, the concordance in tree topologies and relationships estimated in this study with published teleost phylogenies suggests that similar meta-datasets could be utilised in the prediction of evolutionary relationships across populations and species with readily available RAD-Seq datasets, but for which relationships remain uncharacterised.
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Affiliation(s)
- Serap Gonen
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
| | - Stephen C Bishop
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
| | - Ross D Houston
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
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Libungan LA, Slotte A, Husebø Å, Godiksen JA, Pálsson S. Latitudinal Gradient in Otolith Shape among Local Populations of Atlantic Herring (Clupea harengus L.) in Norway. PLoS One 2015; 10:e0130847. [PMID: 26101885 PMCID: PMC4478005 DOI: 10.1371/journal.pone.0130847] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Accepted: 05/25/2015] [Indexed: 11/19/2022] Open
Abstract
Otolith shape analysis of Atlantic herring (Clupea harengus) in Norwegian waters shows significant differentiation among fjords and a latitudinal gradient along the coast where neighbouring populations are more similar to each other than to those sampled at larger distances. The otolith shape was obtained using quantitative shape analysis, the outlines were transformed with Wavelet and analysed with multivariate methods. The observed morphological differences are likely to reflect environmental differences but indicate low dispersal among the local herring populations. Otolith shape variation suggests also limited exchange between the local populations and their oceanic counterparts, which could be due to differences in spawning behaviour. Herring from the most northerly location (69°N) in Balsfjord, which is genetically more similar to Pacific herring (Clupea pallasii), differed in otolith shape from all the other populations. Our results suggest that the semi-enclosed systems, where the local populations live and breed, are efficient barriers for dispersal. Otolith shape can thus serve as a marker to identify the origin of herring along the coast of Norway.
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Affiliation(s)
- Lísa Anne Libungan
- Department of Life and Environmental Sciences, University of Iceland, Reykjavík, Iceland
| | - Aril Slotte
- Institute of Marine Research, Bergen, Norway
- Hjort Centre for Marine Ecosystem Dynamics, Bergen, Norway
| | - Åse Husebø
- Institute of Marine Research, Bergen, Norway
| | - Jane A. Godiksen
- Institute of Marine Research, Bergen, Norway
- Hjort Centre for Marine Ecosystem Dynamics, Bergen, Norway
| | - Snæbjörn Pálsson
- Department of Life and Environmental Sciences, University of Iceland, Reykjavík, Iceland
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Souche EL, Hellemans B, Babbucci M, MacAoidh E, Guinand B, Bargelloni L, Chistiakov DA, Patarnello T, Bonhomme F, Martinsohn JT, Volckaert FAM. Range-wide population structure of European sea bassDicentrarchus labrax. Biol J Linn Soc Lond 2015. [DOI: 10.1111/bij.12572] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Affiliation(s)
- Erika L. Souche
- Laboratory of Biodiversity and Evolutionary Genomics; University of Leuven; Ch. Deberiotstraat 32 - PO Box 2439 B-3000 Leuven Belgium
- Center of Human Genetics; University of Leuven; O&N I Herestraat 49 - PO Box 602 B-3000 Leuven Belgium
| | - Bart Hellemans
- Laboratory of Biodiversity and Evolutionary Genomics; University of Leuven; Ch. Deberiotstraat 32 - PO Box 2439 B-3000 Leuven Belgium
| | - Massimiliano Babbucci
- Dipartimento di Biomedicina Comparata e Alimentazione; Università di Padova; I-35124 Padova Italy
| | - Eoin MacAoidh
- Joint Research Centre; Institute for the Protection and Security of the Citizen; European Commission; Maritime Affairs Unit (G.03) - TP051 (Bldg. 51), Via Enrico Fermi nr. 2749 I-21027 Ispra Italy
| | - Bruno Guinand
- Institut des Sciences de l'Evolution de Montpellier; Université de Montpellier; UMR CNRS 5554, Place Eugène Bataillon - cc63 F-34095 Montpellier Cedex 5 France
| | - Luca Bargelloni
- Dipartimento di Biomedicina Comparata e Alimentazione; Università di Padova; I-35124 Padova Italy
| | - Dimitry A. Chistiakov
- Laboratory of Biodiversity and Evolutionary Genomics; University of Leuven; Ch. Deberiotstraat 32 - PO Box 2439 B-3000 Leuven Belgium
- Department of Medical Nanobiotechnology; Pirogov Russian State Medical University Research Center; Ulitsa Ostrovityanova 1 117997 Moscow Russia
| | - Tomaso Patarnello
- Dipartimento di Biomedicina Comparata e Alimentazione; Università di Padova; I-35124 Padova Italy
| | - François Bonhomme
- Institut des Sciences de l'Evolution de Montpellier; Université de Montpellier; UMR CNRS 5554, Place Eugène Bataillon - cc63 F-34095 Montpellier Cedex 5 France
| | - Jann T. Martinsohn
- Joint Research Centre; Institute for the Protection and Security of the Citizen; European Commission; Maritime Affairs Unit (G.03) - TP051 (Bldg. 51), Via Enrico Fermi nr. 2749 I-21027 Ispra Italy
| | - Filip A. M. Volckaert
- Laboratory of Biodiversity and Evolutionary Genomics; University of Leuven; Ch. Deberiotstraat 32 - PO Box 2439 B-3000 Leuven Belgium
- Department of Biological and Environmental Sciences; CeMEB; University of Gothenburg; Box 463 SE-405 30 Gothenburg Sweden
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Berg PR, Jentoft S, Star B, Ring KH, Knutsen H, Lien S, Jakobsen KS, André C. Adaptation to Low Salinity Promotes Genomic Divergence in Atlantic Cod (Gadus morhua L.). Genome Biol Evol 2015; 7:1644-63. [PMID: 25994933 PMCID: PMC4494048 DOI: 10.1093/gbe/evv093] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
How genomic selection enables species to adapt to divergent environments is a fundamental question in ecology and evolution. We investigated the genomic signatures of local adaptation in Atlantic cod (Gadus morhua L.) along a natural salinity gradient, ranging from 35‰ in the North Sea to 7‰ within the Baltic Sea. By utilizing a 12 K SNPchip, we simultaneously assessed neutral and adaptive genetic divergence across the Atlantic cod genome. Combining outlier analyses with a landscape genomic approach, we identified a set of directionally selected loci that are strongly correlated with habitat differences in salinity, oxygen, and temperature. Our results show that discrete regions within the Atlantic cod genome are subject to directional selection and associated with adaptation to the local environmental conditions in the Baltic- and the North Sea, indicating divergence hitchhiking and the presence of genomic islands of divergence. We report a suite of outlier single nucleotide polymorphisms within or closely located to genes associated with osmoregulation, as well as genes known to play important roles in the hydration and development of oocytes. These genes are likely to have key functions within a general osmoregulatory framework and are important for the survival of eggs and larvae, contributing to the buildup of reproductive isolation between the low-salinity adapted Baltic cod and the adjacent cod populations. Hence, our data suggest that adaptive responses to the environmental conditions in the Baltic Sea may contribute to a strong and effective reproductive barrier, and that Baltic cod can be viewed as an example of ongoing speciation.
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Affiliation(s)
- Paul R Berg
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Norway
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Norway
| | - Bastiaan Star
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Norway
| | - Kristoffer H Ring
- Centre for Development and the Environment (SUM), University of Oslo, Norway
| | - Halvor Knutsen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Norway Institute of Marine Research (IMR), Flødevigen, His, Norway University of Agder, Kristiansand, Norway
| | - Sigbjørn Lien
- Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Aas, Norway
| | - Kjetill S Jakobsen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Norway
| | - Carl André
- Department of Biology and Environmental Sciences-Tjärnö, University of Gothenburg, Strömstad, Sweden
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Libungan LA, Óskarsson GJ, Slotte A, Jacobsen JA, Pálsson S. Otolith shape: a population marker for Atlantic herring Clupea harengus. JOURNAL OF FISH BIOLOGY 2015; 86:1377-1395. [PMID: 25846860 DOI: 10.1111/jfb.12647] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 01/26/2015] [Indexed: 06/04/2023]
Abstract
Otolith shape variation of seven Atlantic herring Clupea harengus populations from Canada, the Faroe Islands, Iceland, Ireland, Norway and Scotland, U.K., covering a large area of the species' distribution, was studied in order to see if otolith shape can be used to discriminate between populations. The otolith shape was obtained using quantitative shape analysis, transformed with Wavelet and analysed with multivariate methods. Significant differences were detected among the seven populations, which could be traced to three morphological structures in the otoliths. The differentiation in otolith shape between populations was not only correlated with their spawning time, indicating a strong environmental effect, but could also be due to differing life-history strategies. A model based on the shape differences discriminates with 94% accuracy between Icelandic summer spawners and Norwegian spring spawners, which are known to mix at feeding grounds. This study shows that otolith shape could become an accurate marker for C. harengus population discrimination.
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Affiliation(s)
- L A Libungan
- Department of Life and Environmental Sciences, University of Iceland, Sturlugata 7, 101 Reykjavík, Iceland
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Kenchington EL, Nakashima BS, Taggart CT, Hamilton LC. Genetic structure of capelin (Mallotus villosus) in the northwest Atlantic Ocean. PLoS One 2015; 10:e0122315. [PMID: 25822621 PMCID: PMC4378951 DOI: 10.1371/journal.pone.0122315] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 02/19/2015] [Indexed: 11/19/2022] Open
Abstract
Capelin (Mallotus villosus) is a commercially exploited, key forage-fish species found in the boreal waters of the North Pacific and North Atlantic Oceans. We examined the population structure of capelin throughout their range in the Canadian northwest Atlantic Ocean using genetic-based methods. Capelin collected at ten beach and five demersal spawning locations over the period 2002 through 2008 (N = 3,433 fish) were genotyped using six polymorphic microsatellite loci. Temporally distinct samples were identified at three beach spawning locations: Chance Cove, Little Lawn and Straitsview, Newfoundland. Four capelin stocks are assumed for fisheries management in the northwest Atlantic Ocean based on meristics, morphometrics, tag returns, and seasonal distribution patterns. Our results suggested groupings that were somewhat different than the assumed structure, and indicate at least seven genetically defined populations arising from two ancestral populations. The spatial mosaic of capelin from each of the two basal cluster groups explains much of the observed geographic variability amongst neighbouring samples. The genetic-defined populations were resolved at Jost’s Dest ≥ 0.01 and were composed of fish collected 1) in the Gulf of St. Lawrence, 2) along the south and east coasts of Newfoundland, 3) along coastal northern Newfoundland and southern Labrador, 4) along coastal northern Labrador, 5) near the Saguenay River, and at two nearshore demersal spawning sites, 6) one at Grebes Nest off Bellevue Beach on the east coast of Newfoundland, and 7) one off the coast of Labrador at Domino Run. Moreover, the offshore demersal spawners on the Scotian Shelf and Southeast Shoal appeared to be related to the inshore demersal spawners at Grebes Nest and in Domino Run and to beach spawners from the Gulf of St. Lawrence.
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Affiliation(s)
- Ellen L. Kenchington
- Department of Fisheries and Oceans, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada
- * E-mail:
| | - Brian S. Nakashima
- Department of Fisheries and Oceans, Northwest Atlantic Fisheries Centre, St. John’s, Newfoundland and Labrador, Canada
| | | | - Lorraine C. Hamilton
- Department of Fisheries and Oceans, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada
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Guo B, DeFaveri J, Sotelo G, Nair A, Merilä J. Population genomic evidence for adaptive differentiation in Baltic Sea three-spined sticklebacks. BMC Biol 2015; 13:19. [PMID: 25857931 PMCID: PMC4410466 DOI: 10.1186/s12915-015-0130-8] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 03/12/2015] [Indexed: 11/30/2022] Open
Abstract
Background The degree of genetic differentiation among populations experiencing high levels of gene flow is expected to be low for neutral genomic sites, but substantial divergence can occur in sites subject to directional selection. Studies of highly mobile marine fish populations provide an opportunity to investigate this kind of heterogeneous genomic differentiation, but most studies to this effect have focused on a relatively low number of genetic markers and/or few populations. Hence, the patterns and extent of genomic divergence in high-gene-flow marine fish populations remain poorly understood. Results We here investigated genome-wide patterns of genetic variability and differentiation in ten marine populations of three-spined stickleback (Gasterosteus aculeatus) distributed across a steep salinity and temperature gradient in the Baltic Sea, by utilizing >30,000 single nucleotide polymorphisms obtained with a pooled RAD-seq approach. We found that genetic diversity and differentiation varied widely across the genome, and identified numerous fairly narrow genomic regions exhibiting signatures of both divergent and balancing selection. Evidence was uncovered for substantial genetic differentiation associated with both salinity and temperature gradients, and many candidate genes associated with local adaptation in the Baltic Sea were identified. Conclusions The patterns of genetic diversity and differentiation, as well as candidate genes associated with adaptation, in Baltic Sea sticklebacks were similar to those observed in earlier comparisons between marine and freshwater populations, suggesting that similar processes may be driving adaptation to brackish and freshwater environments. Taken together, our results provide strong evidence for heterogenic genomic divergence driven by local adaptation in the face of gene flow along an environmental gradient in the post-glacially formed Baltic Sea. Electronic supplementary material The online version of this article (doi:10.1186/s12915-015-0130-8) contains supplementary material, which is available to authorized users.
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Hoffmann A, Griffin P, Dillon S, Catullo R, Rane R, Byrne M, Jordan R, Oakeshott J, Weeks A, Joseph L, Lockhart P, Borevitz J, Sgrò C. A framework for incorporating evolutionary genomics into biodiversity conservation and management. ACTA ACUST UNITED AC 2015. [DOI: 10.1186/s40665-014-0009-x] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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