1
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Tóth EG, Cseke K, Benke A, Lados BB, Tomov VT, Zhelev P, Kámpel JD, Borovics A, Köbölkuti ZA. Key triggers of adaptive genetic variability of sessile oak [Q. petraea (Matt.) Liebl.] from the Balkan refugia: outlier detection and association of SNP loci from ddRAD-seq data. Heredity (Edinb) 2023:10.1038/s41437-023-00629-2. [PMID: 37316726 PMCID: PMC10382515 DOI: 10.1038/s41437-023-00629-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 06/16/2023] Open
Abstract
Knowledge on the genetic composition of Quercus petraea in south-eastern Europe is limited despite the species' significant role in the re-colonisation of Europe during the Holocene, and the diverse climate and physical geography of the region. Therefore, it is imperative to conduct research on adaptation in sessile oak to better understand its ecological significance in the region. While large sets of SNPs have been developed for the species, there is a continued need for smaller sets of SNPs that are highly informative about the possible adaptation to this varied landscape. By using double digest restriction site associated DNA sequencing data from our previous study, we mapped RAD-seq loci to the Quercus robur reference genome and identified a set of SNPs putatively related to drought stress-response. A total of 179 individuals from eighteen natural populations at sites covering heterogeneous climatic conditions in the southeastern natural distribution range of Q. petraea were genotyped. The detected highly polymorphic variant sites revealed three genetic clusters with a generally low level of genetic differentiation and balanced diversity among them but showed a north-southeast gradient. Selection tests showed nine outlier SNPs positioned in different functional regions. Genotype-environment association analysis of these markers yielded a total of 53 significant associations, explaining 2.4-16.6% of the total genetic variation. Our work exemplifies that adaptation to drought may be under natural selection in the examined Q. petraea populations.
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Affiliation(s)
- Endre Gy Tóth
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary.
| | - Klára Cseke
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Attila Benke
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Botond B Lados
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Vladimir T Tomov
- Department of Landscape Architecture, Faculty of Ecology and Landscape Architecture, University of Forestry (UF), Kliment Ohridsky 10, Sofia, 1797, Bulgaria
| | - Petar Zhelev
- Department of Dendrology, Faculty of Forestry, University of Forestry (UF), Kliment Ohridsky 10, Sofia, 1797, Bulgaria
| | - József D Kámpel
- Ottó Herman Environmental and Agricultural Technical School, Vocational School and College (Agricultural Vocational Centre of the Kisalföld Region), Ernuszt Kelemen 1, Szombathely, 9700, Hungary
| | - Attila Borovics
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Zoltán A Köbölkuti
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
- Departement of Applied Forest Genetics Research, Bavarian Office for Forest Genetics (AWG), Forstamtsplatz 1, Teisendorf, 83317, Germany
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2
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Sork VL, Cokus SJ, Fitz-Gibbon ST, Zimin AV, Puiu D, Garcia JA, Gugger PF, Henriquez CL, Zhen Y, Lohmueller KE, Pellegrini M, Salzberg SL. High-quality genome and methylomes illustrate features underlying evolutionary success of oaks. Nat Commun 2022; 13:2047. [PMID: 35440538 PMCID: PMC9018854 DOI: 10.1038/s41467-022-29584-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 03/11/2022] [Indexed: 02/01/2023] Open
Abstract
The genus Quercus, which emerged ∼55 million years ago during globally warm temperatures, diversified into ∼450 extant species. We present a high-quality de novo genome assembly of a California endemic oak, Quercus lobata, revealing features consistent with oak evolutionary success. Effective population size remained large throughout history despite declining since early Miocene. Analysis of 39,373 mapped protein-coding genes outlined copious duplications consistent with genetic and phenotypic diversity, both by retention of genes created during the ancient γ whole genome hexaploid duplication event and by tandem duplication within families, including numerous resistance genes and a very large block of duplicated DUF247 genes, which have been found to be associated with self-incompatibility in grasses. An additional surprising finding is that subcontext-specific patterns of DNA methylation associated with transposable elements reveal broadly-distributed heterochromatin in intergenic regions, similar to grasses. Collectively, these features promote genetic and phenotypic variation that would facilitate adaptability to changing environments.
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Affiliation(s)
- Victoria L Sork
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-1438, USA.
- Institute of the Environment and Sustainability, University of California, Los Angeles, CA, 90095, USA.
| | - Shawn J Cokus
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA, 90095-7239, USA
| | - Sorel T Fitz-Gibbon
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-1438, USA
| | - Aleksey V Zimin
- Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Daniela Puiu
- Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Jesse A Garcia
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-1438, USA
| | - Paul F Gugger
- Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA
| | - Claudia L Henriquez
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-1438, USA
| | - Ying Zhen
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-1438, USA
| | - Kirk E Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-1438, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA, 90095-7239, USA
| | - Steven L Salzberg
- Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD, 21218, USA
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3
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Ahmar S, Ballesta P, Ali M, Mora-Poblete F. Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing. Int J Mol Sci 2021; 22:10583. [PMID: 34638922 PMCID: PMC8508745 DOI: 10.3390/ijms221910583] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/23/2022] Open
Abstract
Forest tree breeding efforts have focused mainly on improving traits of economic importance, selecting trees suited to new environments or generating trees that are more resilient to biotic and abiotic stressors. This review describes various methods of forest tree selection assisted by genomics and the main technological challenges and achievements in research at the genomic level. Due to the long rotation time of a forest plantation and the resulting long generation times necessary to complete a breeding cycle, the use of advanced techniques with traditional breeding have been necessary, allowing the use of more precise methods for determining the genetic architecture of traits of interest, such as genome-wide association studies (GWASs) and genomic selection (GS). In this sense, main factors that determine the accuracy of genomic prediction models are also addressed. In turn, the introduction of genome editing opens the door to new possibilities in forest trees and especially clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9). It is a highly efficient and effective genome editing technique that has been used to effectively implement targetable changes at specific places in the genome of a forest tree. In this sense, forest trees still lack a transformation method and an inefficient number of genotypes for CRISPR/Cas9. This challenge could be addressed with the use of the newly developing technique GRF-GIF with speed breeding.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
| | - Paulina Ballesta
- The National Fund for Scientific and Technological Development, Av. del Agua 3895, Talca 3460000, Chile
| | - Mohsin Ali
- Department of Forestry and Range Management, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan;
| | - Freddy Mora-Poblete
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
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4
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Klápště J, Kremer A, Burg K, Garnier-Géré P, El-Dien OG, Ratcliffe B, El-Kassaby YA, Porth I. Quercus species divergence is driven by natural selection on evolutionarily less integrated traits. Heredity (Edinb) 2021; 126:366-382. [PMID: 33110229 PMCID: PMC8027598 DOI: 10.1038/s41437-020-00378-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 11/09/2022] Open
Abstract
Functional traits are organismal attributes that can respond to environmental cues, thereby providing important ecological functions. In addition, an organism's potential for adaptation is defined by the patterns of covariation among groups of functionally related traits. Whether an organism is evolutionarily constrained or has the potential for adaptation is based on the phenotypic integration or modularity of these traits. Here, we revisited leaf morphology in two European sympatric white oaks (Quercus petraea (Matt.) Liebl. and Quercus robur L.), sampling 2098 individuals, across much of their geographical distribution ranges. At the phenotypic level, leaf morphology traditionally encompasses discriminant attributes among different oak species. Here, we estimated in situ heritability, genetic correlation, and integration across such attributes. Also, we performed Selection Response Decomposition to test these traits for potential differences in oak species' evolutionary responses. Based on the uncovered functional units of traits (modules) in our study, the morphological module "leaf size gradient" was highlighted among functionally integrated traits. Equally, this module was defined in both oaks as being under "global regulation" in vegetative bud establishment and development. Lamina basal shape and intercalary veins' number were not, or, less integrated within the initially defined leaf functional unit, suggesting more than one module within the leaf traits' ensemble. Since these traits generally show the greatest species discriminatory power, they potentially underwent effective differential response to selection among oaks. Indeed, the selection of these traits could have driven the ecological preferences between the two sympatric oaks growing under different microclimates.
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Affiliation(s)
- Jaroslav Klápště
- Department of Genetics and Physiology of Forest Trees, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences in Prague, Kamýcká 129, 165 21, Prague 6, Czechia.
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Whakarewarewa, Rotorua, 3010, New Zealand.
| | - Antoine Kremer
- INRA, UMR Biodiversité Gènes et Communautés, 69 route d'Arcachon, 33612, Cestas Cedex, France
- University of Bordeaux, UMR 1202, Biodiversité Gènes et Communautés, F-33400, Talence, France
| | - Kornel Burg
- Department of Health and Environment (Bioresources), AIT Austrian Institute of Technology, Konrad-Lorenz-Straβe 24, 3430, Tulln, Austria
| | - Pauline Garnier-Géré
- INRA, UMR Biodiversité Gènes et Communautés, 69 route d'Arcachon, 33612, Cestas Cedex, France
- University of Bordeaux, UMR 1202, Biodiversité Gènes et Communautés, F-33400, Talence, France
| | - Omnia Gamal El-Dien
- Pharmacognosy Department, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
| | - Blaise Ratcliffe
- Department of Forest and Conservation Sciences, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
| | - Yousry A El-Kassaby
- Department of Forest and Conservation Sciences, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
| | - Ilga Porth
- Département des sciences du bois et de la forêt, Université Laval, 1030, Avenue de la Médecine, Québec, QC, G1V 0A6, Canada
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5
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Piredda R, Grimm GW, Schulze ED, Denk T, Simeone MC. High-throughput sequencing of 5S-IGS in oaks: Exploring intragenomic variation and algorithms to recognize target species in pure and mixed samples. Mol Ecol Resour 2020; 21:495-510. [PMID: 32997899 DOI: 10.1111/1755-0998.13264] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 08/28/2020] [Accepted: 09/01/2020] [Indexed: 11/30/2022]
Abstract
Measuring biological diversity is a crucial but difficult undertaking, as exemplified in oaks where complex patterns of morphological, ecological, biogeographical and genetic differentiation collide with traditional taxonomy, which measures biodiversity in number of species (or higher taxa). In this pilot study, we generated high-throughput sequencing amplicon data of the intergenic spacer of the 5S nuclear ribosomal DNA cistron (5S-IGS) in oaks, using six mock samples that differ in geographical origin, species composition and pool complexity. The potential of the marker for automated genotaxonomy applications was assessed using a reference data set of 1,770 5S-IGS cloned sequences, covering the entire taxonomic breadth and distribution range of western Eurasian Quercus, and applying similarity (blast) and evolutionary approaches (maximum-likelihood trees and Evolutionary Placement Algorithm). Both methods performed equally well, allowing correct identification of species in sections Ilex and Cerris in the pure and mixed samples, and main lineages shared by species of sect. Quercus. Application of different cut-off thresholds revealed that medium- to high-abundance (>10 or 25) sequences suffice for a net species identification of samples containing one or a few individuals. Lower thresholds identify phylogenetic correspondence with all target species in highly mixed samples (analogous to environmental bulk samples) and include rare variants pointing towards reticulation, incomplete lineage sorting, pseudogenic 5S units and in situ (natural) contamination. Our pipeline is highly promising for future assessments of intraspecific and interpopulation diversity, and of the genetic resources of natural ecosystems, which are fundamental to empower fast and solid biodiversity conservation programmes worldwide.
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Affiliation(s)
| | - Guido W Grimm
- Orléans, France.,Department of Palaeontology, University of Vienna, Vienna, Austria
| | | | - Thomas Denk
- Swedish Museum of Natural History, Stockholm, Sweden
| | - Marco Cosimo Simeone
- Dipartimento di Scienze Agrarie e Forestali (DAFNE), Università degli studi della Tuscia, Viterbo, Italy
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6
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Perry A, Wachowiak W, Downing A, Talbot R, Cavers S. Development of a single nucleotide polymorphism array for population genomic studies in four European pine species. Mol Ecol Resour 2020; 20:1697-1705. [PMID: 32633888 DOI: 10.1111/1755-0998.13223] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 06/03/2020] [Accepted: 06/25/2020] [Indexed: 02/06/2023]
Abstract
Pines are some of the most ecologically and economically important tree species in the world, and many have enormous natural distributions or have been extensively planted. However, a lack of rapid genotyping capability is hampering progress in understanding the molecular basis of genetic variation in these species. Here, we deliver an efficient tool for genotyping thousands of single nucleotide polymorphism (SNP) markers across the genome that can be applied to genetic studies in pines. Polymorphisms from resequenced candidate genes and transcriptome sequences of P. sylvestris, P. mugo, P. uncinata, P. uliginosa and P. radiata were used to design a 49,829 SNP array (Axiom_PineGAP, Thermo Fisher). Over a third (34.68%) of the unigenes identified from the P. sylvestris transcriptome were represented on the array, which was used to screen samples of four pine species. The conversion rate for the array on all samples was 42% (N = 20,795 SNPs) and was similar for SNPs sourced from resequenced candidate gene and transcriptome sequences. The broad representation of gene ontology terms by unigenes containing converted SNPs reflected their coverage across the full transcriptome. Over a quarter of successfully converted SNPs were polymorphic among all species, and the data were successful in discriminating among the species and some individual populations. The SNP array provides a valuable new tool to advance genetic studies in these species and demonstrates the effectiveness of the technology for rapid genotyping in species with large and complex genomes.
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Affiliation(s)
- Annika Perry
- UK Centre for Ecology & Hydrology Edinburgh, Penicuik, UK
| | - Witold Wachowiak
- Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Alison Downing
- Edinburgh Genomics, Ashworth Laboratories, University of Edinburgh, Edinburgh, UK
| | - Richard Talbot
- Edinburgh Genomics, Ashworth Laboratories, University of Edinburgh, Edinburgh, UK
| | - Stephen Cavers
- UK Centre for Ecology & Hydrology Edinburgh, Penicuik, UK
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7
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Temunović M, Garnier-Géré P, Morić M, Franjić J, Ivanković M, Bogdan S, Hampe A. Candidate gene SNP variation in floodplain populations of pedunculate oak (Quercus robur L.) near the species' southern range margin: Weak differentiation yet distinct associations with water availability. Mol Ecol 2020; 29:2359-2378. [PMID: 32567080 DOI: 10.1111/mec.15492] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 05/03/2020] [Accepted: 05/18/2020] [Indexed: 01/03/2023]
Abstract
Populations residing near species' low-latitude range margins (LLMs) often occur in warmer and drier environments than those in the core range. Thus, their genetic composition could be shaped by climatic drivers that differ from those occurring at higher latitudes, resulting in potentially adaptive variants of conservation value. Such variants could facilitate the adaptation of populations from other portions of the geographical range to similar future conditions anticipated under ongoing climate change. However, very few studies have assessed standing genetic variation at potentially adaptive loci in natural LLM populations. We investigated standing genetic variation at single nucleotide polymorphisms (SNPs) located within 117 candidate genes and its links to putative climatic selection pressures across 19 pedunculate oak (Quercus robur L.) populations distributed along a regional climatic gradient near the species' southern range margin in southeastern Europe. These populations are restricted to floodplain forests along large lowland rivers, whose hydric regime is undergoing significant shifts under modern rapid climate change. The populations showed very weak geographical structure, suggesting extensive genetic connectivity and gene flow or shared ancestry. We identified eight (6.2%) positive FST -outlier loci, and genotype-environment association analyses revealed consistent associations between SNP allele frequencies and several climatic variables linked to water availability. A total of 61 associations involving 37 SNPs (28.5%) from 35 annotated genes provided important insights into putative functional mechanisms in our system. Our findings provide empirical support for the role of LLM populations as sources of potentially adaptive variation that could enhance species' resilience to climate change-related pressures.
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Affiliation(s)
- Martina Temunović
- Department of Forest Genetics, Dendrology and Botany, Faculty of Forestry, University of Zagreb, Zagreb, Croatia
| | | | - Maja Morić
- Department of Forest Genetics, Dendrology and Botany, Faculty of Forestry, University of Zagreb, Zagreb, Croatia
| | - Jozo Franjić
- Department of Forest Genetics, Dendrology and Botany, Faculty of Forestry, University of Zagreb, Zagreb, Croatia
| | | | - Saša Bogdan
- Department of Forest Genetics, Dendrology and Botany, Faculty of Forestry, University of Zagreb, Zagreb, Croatia
| | - Arndt Hampe
- INRAE, Univ. Bordeaux, BIOGECO, Cestas, France
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8
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von Thaden A, Nowak C, Tiesmeyer A, Reiners TE, Alves PC, Lyons LA, Mattucci F, Randi E, Cragnolini M, Galián J, Hegyeli Z, Kitchener AC, Lambinet C, Lucas JM, Mölich T, Ramos L, Schockert V, Cocchiararo B. Applying genomic data in wildlife monitoring: Development guidelines for genotyping degraded samples with reduced single nucleotide polymorphism panels. Mol Ecol Resour 2020. [PMID: 31925943 DOI: 10.1111/1755-0998.13136.applying] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The genomic era has led to an unprecedented increase in the availability of genome-wide data for a broad range of taxa. Wildlife management strives to make use of these vast resources to enable refined genetic assessments that enhance biodiversity conservation. However, as new genomic platforms emerge, problems remain in adapting the usually complex approaches for genotyping of noninvasively collected wildlife samples. Here, we provide practical guidelines for the standardized development of reduced single nucleotide polymorphism (SNP) panels applicable for microfluidic genotyping of degraded DNA samples, such as faeces or hairs. We demonstrate how microfluidic SNP panels can be optimized to efficiently monitor European wildcat (Felis silvestris S.) populations. We show how panels can be set up in a modular fashion to accommodate informative markers for relevant population genetics questions, such as individual identification, hybridization assessment and the detection of population structure. We discuss various aspects regarding the implementation of reduced SNP panels and provide a framework that will allow both molecular ecologists and practitioners to help bridge the gap between genomics and applied wildlife conservation.
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Affiliation(s)
- Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Annika Tiesmeyer
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Tobias E Reiners
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Paulo C Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal.,Wildlife Biology Program, University of Montana, Missoula, MT, USA
| | - Leslie A Lyons
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - Federica Mattucci
- Area per la Genetica della Conservazione, ISPRA, Ozzano dell'Emilia, Bologna, Italy
| | - Ettore Randi
- Department BIGEA, University of Bologna, Bologna, Italy.,Department 18/Section of Environmental Engineering, Aalborg University, Aalborg, Denmark
| | - Margherita Cragnolini
- Institut für Spezielle Zoologie und Evolutionsbiologie, Biologisch-Pharmazeutische Fakultät, Friedrich-Schiller-Universität Jena, Jena, Germany
| | - José Galián
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Zsolt Hegyeli
- "Milvus Group" Bird and Nature Protection Association, Tîrgu Mureş, Romania
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh, UK.,Institute of Geography, School of Geosciences, University of Edinburgh, Edinburgh, UK
| | - Clotilde Lambinet
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - José M Lucas
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Thomas Mölich
- Landesverband Thüringen e.V., BUND für Umwelt und Naturschutz Deutschland (BUND), Erfurt, Germany
| | - Luana Ramos
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
| | - Vinciane Schockert
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - Berardino Cocchiararo
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
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9
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Blanc-Jolivet C, Bakhtina S, Yanbaev R, Yanbaev Y, Mader M, Guichoux E, Degen B. Development of new SNPs loci on Quercus robur and Quercus petraea for genetic studies covering the whole species’ distribution range. CONSERV GENET RESOUR 2020. [DOI: 10.1007/s12686-020-01141-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
AbstractWe used double digest restriction site associated DNA sequencing (ddRAD) to develop new geographically informative nuclear SNP loci in Quercus robur and Quercus petraea. Genotypes derived from sequence data of 95 individuals covering the distribution range of the species were analysed to select geographically informative and polymorphic loci within Russia and Germany. We successfully screened a selected set of 119 loci on a MassARRAY® iPLEX™ platform on 190 individuals from 19 locations in Russia. The newly developed loci will be useful for genetic studies over the whole distribution range of both species.
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10
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von Thaden A, Nowak C, Tiesmeyer A, Reiners TE, Alves PC, Lyons LA, Mattucci F, Randi E, Cragnolini M, Galián J, Hegyeli Z, Kitchener AC, Lambinet C, Lucas JM, Mölich T, Ramos L, Schockert V, Cocchiararo B. Applying genomic data in wildlife monitoring: Development guidelines for genotyping degraded samples with reduced single nucleotide polymorphism panels. Mol Ecol Resour 2020; 20. [PMID: 31925943 DOI: 10.1111/1755-0998.13136] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 12/24/2019] [Accepted: 01/05/2020] [Indexed: 01/16/2023]
Abstract
The genomic era has led to an unprecedented increase in the availability of genome-wide data for a broad range of taxa. Wildlife management strives to make use of these vast resources to enable refined genetic assessments that enhance biodiversity conservation. However, as new genomic platforms emerge, problems remain in adapting the usually complex approaches for genotyping of noninvasively collected wildlife samples. Here, we provide practical guidelines for the standardized development of reduced single nucleotide polymorphism (SNP) panels applicable for microfluidic genotyping of degraded DNA samples, such as faeces or hairs. We demonstrate how microfluidic SNP panels can be optimized to efficiently monitor European wildcat (Felis silvestris S.) populations. We show how panels can be set up in a modular fashion to accommodate informative markers for relevant population genetics questions, such as individual identification, hybridization assessment and the detection of population structure. We discuss various aspects regarding the implementation of reduced SNP panels and provide a framework that will allow both molecular ecologists and practitioners to help bridge the gap between genomics and applied wildlife conservation.
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Affiliation(s)
- Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Annika Tiesmeyer
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Tobias E Reiners
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Paulo C Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal.,Wildlife Biology Program, University of Montana, Missoula, MT, USA
| | - Leslie A Lyons
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - Federica Mattucci
- Area per la Genetica della Conservazione, ISPRA, Ozzano dell'Emilia, Bologna, Italy
| | - Ettore Randi
- Department BIGEA, University of Bologna, Bologna, Italy.,Department 18/Section of Environmental Engineering, Aalborg University, Aalborg, Denmark
| | - Margherita Cragnolini
- Institut für Spezielle Zoologie und Evolutionsbiologie, Biologisch-Pharmazeutische Fakultät, Friedrich-Schiller-Universität Jena, Jena, Germany
| | - José Galián
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Zsolt Hegyeli
- "Milvus Group" Bird and Nature Protection Association, Tîrgu Mureş, Romania
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh, UK.,Institute of Geography, School of Geosciences, University of Edinburgh, Edinburgh, UK
| | - Clotilde Lambinet
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - José M Lucas
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Thomas Mölich
- Landesverband Thüringen e.V., BUND für Umwelt und Naturschutz Deutschland (BUND), Erfurt, Germany
| | - Luana Ramos
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
| | - Vinciane Schockert
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - Berardino Cocchiararo
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
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11
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López de Heredia U, Mora-Márquez F, Goicoechea PG, Guillardín-Calvo L, Simeone MC, Soto Á. ddRAD Sequencing-Based Identification of Genomic Boundaries and Permeability in Quercus ilex and Q. suber Hybrids. FRONTIERS IN PLANT SCIENCE 2020; 11:564414. [PMID: 33013984 PMCID: PMC7498617 DOI: 10.3389/fpls.2020.564414] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/13/2020] [Indexed: 05/03/2023]
Abstract
Hybridization and its relevance is a hot topic in ecology and evolutionary biology. Interspecific gene flow may play a key role in species adaptation to environmental change, as well as in the survival of endangered populations. Despite the fact that hybridization is quite common in plants, many hybridizing species, such as Quercus spp., maintain their integrity, while precise determination of genomic boundaries between species remains elusive. Novel high throughput sequencing techniques have opened up new perspectives in the comparative analysis of genomes and in the study of historical and current interspecific gene flow. In this work, we applied ddRADseq technique and developed an ad hoc bioinformatics pipeline for the study of ongoing hybridization between two relevant Mediterranean oaks, Q. ilex and Q. suber. We adopted a local scale approach, analyzing adult hybrids (sensu lato) identified in a mixed stand and their open-pollinated progenies. We have identified up to 9,435 markers across the genome and have estimated individual introgression levels in adults and seedlings. Estimated contribution of Q. suber to the genome is higher, on average, in hybrid progenies than in hybrid adults, suggesting preferential backcrossing with this parental species, maybe followed by selection during juvenile stages against individuals with higher Q. suber genomic contribution. Most discriminating markers seem to be scattered throughout the genome, suggesting that a large number of small genomic regions underlie boundaries between these species. A noticeable proportion of the markers (26%) showed allelic frequencies in adult hybrids very similar to one of the parental species, and very different from the other; a finding that seems relevant for understanding the hybridization process and the occurrence of adaptive introgression. Candidate marker databases developed in this study constitute a valuable resource to design large scale re-sequencing experiments in Mediterranean sclerophyllous oak species and could provide insight in species boundaries and on adaptive introgression between Q. suber and Q. ilex.
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Affiliation(s)
- Unai López de Heredia
- G.I. Genética, Fisiología e Historia Forestal, Dpto. Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain
| | - Fernando Mora-Márquez
- G.I. Genética, Fisiología e Historia Forestal, Dpto. Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain
| | | | - Laura Guillardín-Calvo
- G.I. Genética, Fisiología e Historia Forestal, Dpto. Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain
| | - Marco C. Simeone
- Dipartimento di Scienze Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
| | - Álvaro Soto
- G.I. Genética, Fisiología e Historia Forestal, Dpto. Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid, Spain
- *Correspondence: Álvaro Soto,
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12
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Delord C, Lassalle G, Oger A, Barloy D, Coutellec M, Delcamp A, Evanno G, Genthon C, Guichoux E, Le Bail P, Le Quilliec P, Longin G, Lorvelec O, Massot M, Reveillac E, Rinaldo R, Roussel J, Vigouroux R, Launey S, Petit EJ. A cost‐and‐time effective procedure to develop
SNP
markers for multiple species: A support for community genetics. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.13034] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Chrystelle Delord
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
- HYDRECO Guyane SARLLaboratoire‐Environnement de Petit Saut Kourou France
| | - Gilles Lassalle
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | - Adrien Oger
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | - Dominique Barloy
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | | | | | - Guillaume Evanno
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | | | | | | | | | | | - Olivier Lorvelec
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | | | - Elodie Reveillac
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | | | | | - Regis Vigouroux
- HYDRECO Guyane SARLLaboratoire‐Environnement de Petit Saut Kourou France
| | - Sophie Launey
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
| | - Eric J. Petit
- ESE, Ecology and Ecosystem HealthAgrocampus OuestINRA Rennes France
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13
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Genotyping and Sequencing Technologies in Population Genetics and Genomics. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2017_5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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14
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Lesur I, Alexandre H, Boury C, Chancerel E, Plomion C, Kremer A. Development of Target Sequence Capture and Estimation of Genomic Relatedness in a Mixed Oak Stand. FRONTIERS IN PLANT SCIENCE 2018; 9:996. [PMID: 30057586 PMCID: PMC6053538 DOI: 10.3389/fpls.2018.00996] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 06/19/2018] [Indexed: 05/19/2023]
Abstract
Anticipating the evolutionary responses of long-lived organisms, such as trees, to environmental changes, requires the assessment of genetic variation of adaptive traits in natural populations. To this end, high-density markers are needed to calculate genomic relatedness between individuals allowing to estimate the genetic variance of traits in wild populations. We designed a targeted capture-based, next-generation sequencing assay based on the highly heterozygous pedunculate oak (Quercus robur) reference genome, for the sequencing of 3 Mb of genic and intergenic regions. Using a mixed stand of 293 Q. robur and Q. petraea genotypes we successfully captured over 97% of the target sequences, corresponding to 0.39% of the oak genome, with sufficient depth (97×) for the detection of about 190,000 SNPs evenly spread over the targeted regions. We validated the technique by evaluating its reproducibility, and comparing the genomic relatedness of trees with their known pedigree relationship. We explored the use of the technique on other related species and highlighted the advantages and limitations of this approach. We found that 92.07% of target sequences in Q. suber and 70.36% of sequences in Fagus sylvatica were captured. We used this SNP resource to estimate genetic relatedness in the mixed oak stand. Mean pairwise genetic relatedness was low within each species with a few values exceeding 0.25 (half-sibs) or 0.5 (full-sibs). Finally, we applied the technique to a long-standing issue in population genetics of trees regarding the relationship between inbreeding and components of fitness. We found very weak signals for inbreeding depression for reproductive success and no signal for growth within both species.
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Affiliation(s)
- Isabelle Lesur
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
- HelixVenture, Mérignac, France
- *Correspondence: Isabelle Lesur,
| | - Hermine Alexandre
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Christophe Boury
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Emilie Chancerel
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Christophe Plomion
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Antoine Kremer
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
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15
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Truffaut L, Chancerel E, Ducousso A, Dupouey JL, Badeau V, Ehrenmann F, Kremer A. Fine-scale species distribution changes in a mixed oak stand over two successive generations. THE NEW PHYTOLOGIST 2017; 215:126-139. [PMID: 28444962 PMCID: PMC5624485 DOI: 10.1111/nph.14561] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/01/2017] [Indexed: 05/12/2023]
Abstract
Large-scale tree distribution changes have received considerable attention but underlying demo-genetic mechanisms are less well documented. We used a diachronic approach to track species shifts in a mixed oak stand (Quercus petraea-Quercus robur) at a fine spatiotemporal scale. Species assignment was made using single nucleotide polymorphism (SNP) fingerprints employing clustering and parentage analysis. Mating patterns and reproductive success were assessed by parentage analysis. Plot-based inventories of soil parameters and sapling densities provided ecological and demographic information, respectively. Sapling density and reproductive success was higher in Q. petraea than in Q. robur, and were correlated with a spatial expansion of Q. petraea (50% to 67% of the area). Admixed trees resulting from hybridization and backcrossing between the two species were more frequent under the Q. robur canopy. We suspect that species' differential responses to ongoing environmental changes and interspecific competition are the predominant factors accounting for the recruitment success of Q. petraea, while human interference, differential reproduction and hybridization (and backcrossings) are probably of more limited importance. We anticipate in mixed Q. petraea-Q. robur stands, under current ongoing environmental change, that these processes will be enhanced, at least in the western part of the distribution of the two species.
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Affiliation(s)
- Laura Truffaut
- INRA, UMR 1202 BIOGECO, F-33610 Cestas, France
- Université de Bordeaux, UMR 1202 BIOGECO, F-33615 Pessac,
France
| | - Emilie Chancerel
- INRA, UMR 1202 BIOGECO, F-33610 Cestas, France
- Université de Bordeaux, UMR 1202 BIOGECO, F-33615 Pessac,
France
| | - Alexis Ducousso
- INRA, UMR 1202 BIOGECO, F-33610 Cestas, France
- Université de Bordeaux, UMR 1202 BIOGECO, F-33615 Pessac,
France
| | - Jean Luc Dupouey
- INRA Université de Lorraine UMR 1137 ‘Ecologie et
Ecophysiologie Forestières’, route d’Amance, F-54280
Champenoux, France
| | - Vincent Badeau
- INRA Université de Lorraine UMR 1137 ‘Ecologie et
Ecophysiologie Forestières’, route d’Amance, F-54280
Champenoux, France
| | - François Ehrenmann
- INRA, UMR 1202 BIOGECO, F-33610 Cestas, France
- Université de Bordeaux, UMR 1202 BIOGECO, F-33615 Pessac,
France
| | - Antoine Kremer
- INRA, UMR 1202 BIOGECO, F-33610 Cestas, France
- Université de Bordeaux, UMR 1202 BIOGECO, F-33615 Pessac,
France
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16
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Leroy T, Roux C, Villate L, Bodénès C, Romiguier J, Paiva JAP, Dossat C, Aury JM, Plomion C, Kremer A. Extensive recent secondary contacts between four European white oak species. THE NEW PHYTOLOGIST 2017; 214:865-878. [PMID: 28085203 PMCID: PMC5624484 DOI: 10.1111/nph.14413] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 11/21/2016] [Indexed: 05/04/2023]
Abstract
Historical trajectories of tree species during the late Quaternary have been well reconstructed through genetic and palaeobotanical studies. However, many congeneric tree species are interfertile, and the timing and contribution of introgression to species divergence during their evolutionary history remains largely unknown. We quantified past and current gene flow events between four morphologically divergent oak species (Quercus petraea, Q. robur, Q. pyrenaica, Q. pubescens), by two independent inference methods: diffusion approximation to the joint frequency spectrum (∂a∂i) and approximate Bayesian computation (ABC). For each pair of species, alternative scenarios of speciation allowing gene flow over different timescales were evaluated. Analyses of 3524 single nucleotide polymorphisms (SNPs) randomly distributed in the genome, showed that these species evolved in complete isolation for most of their history, but recently came into secondary contact, probably facilitated by the most recent period of postglacial warming. We demonstrated that: there was sufficient genetic differentiation before secondary contact for the accumulation of barriers to gene flow; and current European white oak genomes are a mosaic of genes that have crossed species boundaries and genes impermeable to gene flow.
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Affiliation(s)
- Thibault Leroy
- BIOGECO, INRA, Université de Bordeaux, Cestas, 33610, France
| | - Camille Roux
- Department of Ecology and Evolution, University of Lausanne, Lausanne, 1015, Switzerland
| | - Laure Villate
- BIOGECO, INRA, Université de Bordeaux, Cestas, 33610, France
| | | | - Jonathan Romiguier
- Department of Ecology and Evolution, University of Lausanne, Lausanne, 1015, Switzerland
| | - Jorge A P Paiva
- Instituto de Biologia Experimental e Tecnológica, iBET, Apartado 12, Oeiras, 2780-901, Portugal
- Institute of Plant Genetics, Polish Academy of Sciences, 34 Strzeszynska street, Poznań, PL-60-479, Poland
| | - Carole Dossat
- Institut de Genomique (IG), Commissariat à l'Energie Atomique (CEA), Genoscope, Evry, 91057, France
| | - Jean-Marc Aury
- Institut de Genomique (IG), Commissariat à l'Energie Atomique (CEA), Genoscope, Evry, 91057, France
| | | | - Antoine Kremer
- BIOGECO, INRA, Université de Bordeaux, Cestas, 33610, France
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17
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Verde I, Jenkins J, Dondini L, Micali S, Pagliarani G, Vendramin E, Paris R, Aramini V, Gazza L, Rossini L, Bassi D, Troggio M, Shu S, Grimwood J, Tartarini S, Dettori MT, Schmutz J. The Peach v2.0 release: high-resolution linkage mapping and deep resequencing improve chromosome-scale assembly and contiguity. BMC Genomics 2017. [PMID: 28284188 DOI: 10.1186/s12864-017-3606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND The availability of the peach genome sequence has fostered relevant research in peach and related Prunus species enabling the identification of genes underlying important horticultural traits as well as the development of advanced tools for genetic and genomic analyses. The first release of the peach genome (Peach v1.0) represented a high-quality WGS (Whole Genome Shotgun) chromosome-scale assembly with high contiguity (contig L50 214.2 kb), large portions of mapped sequences (96%) and high base accuracy (99.96%). The aim of this work was to improve the quality of the first assembly by increasing the portion of mapped and oriented sequences, correcting misassemblies and improving the contiguity and base accuracy using high-throughput linkage mapping and deep resequencing approaches. RESULTS Four linkage maps with 3,576 molecular markers were used to improve the portion of mapped and oriented sequences (from 96.0% and 85.6% of Peach v1.0 to 99.2% and 98.2% of v2.0, respectively) and enabled a more detailed identification of discernible misassemblies (10.4 Mb in total). The deep resequencing approach fixed 859 homozygous SNPs (Single Nucleotide Polymorphisms) and 1347 homozygous indels. Moreover, the assembled NGS contigs enabled the closing of 212 gaps with an improvement in the contig L50 of 19.2%. CONCLUSIONS The improved high quality peach genome assembly (Peach v2.0) represents a valuable tool for the analysis of the genetic diversity, domestication, and as a vehicle for genetic improvement of peach and related Prunus species. Moreover, the important phylogenetic position of peach and the absence of recent whole genome duplication (WGD) events make peach a pivotal species for comparative genomics studies aiming at elucidating plant speciation and diversification processes.
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Affiliation(s)
- Ignazio Verde
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy.
| | - Jerry Jenkins
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
| | - Luca Dondini
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
| | - Sabrina Micali
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Giulia Pagliarani
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
| | - Elisa Vendramin
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Roberta Paris
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
- Present address: Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centre of Research for Industrial Crops, 40128, Bologna, Italy
| | - Valeria Aramini
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Laura Gazza
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
- Present address: Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Unit for Cereal Quality, Rome, Italy
| | - Laura Rossini
- Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Milan, Italy
- Parco Tecnologico Padano, Via Einstein, 26900, Lodi, Italy
| | - Daniele Bassi
- Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Milan, Italy
| | - Michela Troggio
- Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010, San Michele all'Adige, TN, Italy
| | - Shengqiang Shu
- U.S. Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Jane Grimwood
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
| | - Stefano Tartarini
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
| | - Maria Teresa Dettori
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Jeremy Schmutz
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
- U.S. Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
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18
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Verde I, Jenkins J, Dondini L, Micali S, Pagliarani G, Vendramin E, Paris R, Aramini V, Gazza L, Rossini L, Bassi D, Troggio M, Shu S, Grimwood J, Tartarini S, Dettori MT, Schmutz J. The Peach v2.0 release: high-resolution linkage mapping and deep resequencing improve chromosome-scale assembly and contiguity. BMC Genomics 2017; 18:225. [PMID: 28284188 PMCID: PMC5346207 DOI: 10.1186/s12864-017-3606-9] [Citation(s) in RCA: 199] [Impact Index Per Article: 28.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 03/03/2017] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The availability of the peach genome sequence has fostered relevant research in peach and related Prunus species enabling the identification of genes underlying important horticultural traits as well as the development of advanced tools for genetic and genomic analyses. The first release of the peach genome (Peach v1.0) represented a high-quality WGS (Whole Genome Shotgun) chromosome-scale assembly with high contiguity (contig L50 214.2 kb), large portions of mapped sequences (96%) and high base accuracy (99.96%). The aim of this work was to improve the quality of the first assembly by increasing the portion of mapped and oriented sequences, correcting misassemblies and improving the contiguity and base accuracy using high-throughput linkage mapping and deep resequencing approaches. RESULTS Four linkage maps with 3,576 molecular markers were used to improve the portion of mapped and oriented sequences (from 96.0% and 85.6% of Peach v1.0 to 99.2% and 98.2% of v2.0, respectively) and enabled a more detailed identification of discernible misassemblies (10.4 Mb in total). The deep resequencing approach fixed 859 homozygous SNPs (Single Nucleotide Polymorphisms) and 1347 homozygous indels. Moreover, the assembled NGS contigs enabled the closing of 212 gaps with an improvement in the contig L50 of 19.2%. CONCLUSIONS The improved high quality peach genome assembly (Peach v2.0) represents a valuable tool for the analysis of the genetic diversity, domestication, and as a vehicle for genetic improvement of peach and related Prunus species. Moreover, the important phylogenetic position of peach and the absence of recent whole genome duplication (WGD) events make peach a pivotal species for comparative genomics studies aiming at elucidating plant speciation and diversification processes.
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Affiliation(s)
- Ignazio Verde
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy.
| | - Jerry Jenkins
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
| | - Luca Dondini
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
| | - Sabrina Micali
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Giulia Pagliarani
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
| | - Elisa Vendramin
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Roberta Paris
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy.,Present address: Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centre of Research for Industrial Crops, 40128, Bologna, Italy
| | - Valeria Aramini
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Laura Gazza
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy.,Present address: Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Unit for Cereal Quality, Rome, Italy
| | - Laura Rossini
- Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Milan, Italy.,Parco Tecnologico Padano, Via Einstein, 26900, Lodi, Italy
| | - Daniele Bassi
- Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Milan, Italy
| | - Michela Troggio
- Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010, San Michele all'Adige, TN, Italy
| | - Shengqiang Shu
- U.S. Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Jane Grimwood
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
| | - Stefano Tartarini
- Department of Agricultural Sciences (DipSA), University of Bologna, Bologna, Italy
| | - Maria Teresa Dettori
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Frutticoltura, 00134, Rome, Italy
| | - Jeremy Schmutz
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA.,U.S. Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
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19
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Landscape Genomics of Angiosperm Trees: From Historic Roots to Discovering New Branches of Adaptive Evolution. COMPARATIVE AND EVOLUTIONARY GENOMICS OF ANGIOSPERM TREES 2017. [DOI: 10.1007/7397_2016_19] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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20
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Rellstab C, Zoller S, Walthert L, Lesur I, Pluess AR, Graf R, Bodénès C, Sperisen C, Kremer A, Gugerli F. Signatures of local adaptation in candidate genes of oaks (Quercusspp.) with respect to present and future climatic conditions. Mol Ecol 2016; 25:5907-5924. [DOI: 10.1111/mec.13889] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 08/22/2016] [Accepted: 10/03/2016] [Indexed: 01/08/2023]
Affiliation(s)
- Christian Rellstab
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
| | - Stefan Zoller
- Genetic Diversity Centre; ETH Zürich; Universitätstrasse 16 8092 Zürich Switzerland
| | - Lorenz Walthert
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
| | - Isabelle Lesur
- UMR1202 BIOGECO; INRA; 33610 Cestas France
- UMR1202 BIOGECO; Université de Bordeaux; 33610 Talence France
- Helix Venture; 26 rue Eugène Scribe 33700 Mérignac France
| | - Andrea R. Pluess
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
- Institute of Terrestrial Ecosystems; ETH Zürich; Universitätstrasse 16 8092 Zürich Switzerland
| | - René Graf
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
| | - Catherine Bodénès
- UMR1202 BIOGECO; INRA; 33610 Cestas France
- UMR1202 BIOGECO; Université de Bordeaux; 33610 Talence France
| | - Christoph Sperisen
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
| | - Antoine Kremer
- UMR1202 BIOGECO; INRA; 33610 Cestas France
- UMR1202 BIOGECO; Université de Bordeaux; 33610 Talence France
| | - Felix Gugerli
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
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21
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Faivre-Rampant P, Zaina G, Jorge V, Giacomello S, Segura V, Scalabrin S, Guérin V, De Paoli E, Aluome C, Viger M, Cattonaro F, Payne A, PaulStephenRaj P, Le Paslier MC, Berard A, Allwright MR, Villar M, Taylor G, Bastien C, Morgante M. New resources for genetic studies in Populus nigra: genome-wide SNP discovery and development of a 12k Infinium array. Mol Ecol Resour 2016; 16:1023-36. [PMID: 26929265 DOI: 10.1111/1755-0998.12513] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Revised: 12/17/2015] [Accepted: 12/22/2015] [Indexed: 11/30/2022]
Abstract
Whole genome resequencing of 51 Populus nigra (L.) individuals from across Western Europe was performed using Illumina platforms. A total number of 1 878 727 SNPs distributed along the P. nigra reference sequence were identified. The SNP calling accuracy was validated with Sanger sequencing. SNPs were selected within 14 previously identified QTL regions, 2916 expressional candidate genes related to rust resistance, wood properties, water-use efficiency and bud phenology and 1732 genes randomly spread across the genome. Over 10 000 SNPs were selected for the construction of a 12k Infinium Bead-Chip array dedicated to association mapping. The SNP genotyping assay was performed with 888 P. nigra individuals. The genotyping success rate was 91%. Our high success rate was due to the discovery panel design and the stringent parameters applied for SNP calling and selection. In the same set of P. nigra genotypes, linkage disequilibrium throughout the genome decayed on average within 5-7 kb to half of its maximum value. As an application test, ADMIXTURE analysis was performed with a selection of 600 SNPs spread throughout the genome and 706 individuals collected along 12 river basins. The admixture pattern was consistent with genetic diversity revealed by neutral markers and the geographical distribution of the populations. These newly developed SNP resources and genotyping array provide a valuable tool for population genetic studies and identification of QTLs through natural-population based genetic association studies in P. nigra.
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Affiliation(s)
| | - G Zaina
- DI4A, University of Udine, via delle Scienze 206, 33100, Udine, Italy
| | - V Jorge
- INRA, UR 0588 AGPF, Centre INRA Val de Loire, 2163 avenue de la Pomme de Pin, CS 40001 - Ardon, 45075, Orléans, France
| | - S Giacomello
- IGA, Parco Scientifico e Tecnologico Luigi Danieli, via Jacopo Linussio 51, 33100, Udine, Italy
| | - V Segura
- INRA, UR 0588 AGPF, Centre INRA Val de Loire, 2163 avenue de la Pomme de Pin, CS 40001 - Ardon, 45075, Orléans, France
| | - S Scalabrin
- IGA, Parco Scientifico e Tecnologico Luigi Danieli, via Jacopo Linussio 51, 33100, Udine, Italy
| | - V Guérin
- INRA, UR 0588 AGPF, Centre INRA Val de Loire, 2163 avenue de la Pomme de Pin, CS 40001 - Ardon, 45075, Orléans, France
| | - E De Paoli
- IGA, Parco Scientifico e Tecnologico Luigi Danieli, via Jacopo Linussio 51, 33100, Udine, Italy
| | - C Aluome
- INRA, US1279 EPGV, CEA-IG/CNG, F-91057, Evry, France.,INRA, UR 0588 AGPF, Centre INRA Val de Loire, 2163 avenue de la Pomme de Pin, CS 40001 - Ardon, 45075, Orléans, France
| | - M Viger
- Centre For Biological Sciences, University of Southampton, Life Sciences, SO17 1BJ, Southampton, UK
| | - F Cattonaro
- IGA, Parco Scientifico e Tecnologico Luigi Danieli, via Jacopo Linussio 51, 33100, Udine, Italy
| | - A Payne
- Centre For Biological Sciences, University of Southampton, Life Sciences, SO17 1BJ, Southampton, UK
| | | | | | - A Berard
- INRA, US1279 EPGV, CEA-IG/CNG, F-91057, Evry, France
| | - M R Allwright
- Centre For Biological Sciences, University of Southampton, Life Sciences, SO17 1BJ, Southampton, UK
| | - M Villar
- INRA, UR 0588 AGPF, Centre INRA Val de Loire, 2163 avenue de la Pomme de Pin, CS 40001 - Ardon, 45075, Orléans, France
| | - G Taylor
- Centre For Biological Sciences, University of Southampton, Life Sciences, SO17 1BJ, Southampton, UK
| | - C Bastien
- INRA, UR 0588 AGPF, Centre INRA Val de Loire, 2163 avenue de la Pomme de Pin, CS 40001 - Ardon, 45075, Orléans, France
| | - M Morgante
- DI4A, University of Udine, via delle Scienze 206, 33100, Udine, Italy.,IGA, Parco Scientifico e Tecnologico Luigi Danieli, via Jacopo Linussio 51, 33100, Udine, Italy
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22
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Bodénès C, Chancerel E, Ehrenmann F, Kremer A, Plomion C. High-density linkage mapping and distribution of segregation distortion regions in the oak genome. DNA Res 2016; 23:115-24. [PMID: 27013549 PMCID: PMC4833419 DOI: 10.1093/dnares/dsw001] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 01/05/2016] [Indexed: 11/14/2022] Open
Abstract
We developed the densest single-nucleotide polymorphism (SNP)-based linkage genetic map to date for the genus Quercus An 8k gene-based SNP array was used to genotype more than 1,000 full-sibs from two intraspecific and two interspecific full-sib families of Quercus petraea and Quercus robur A high degree of collinearity was observed between the eight parental maps of the two species. A composite map was then established with 4,261 SNP markers spanning 742 cM over the 12 linkage groups (LGs) of the oak genome. Nine genomic regions from six LGs displayed highly significant distortions of segregation. Two main hypotheses concerning the mechanisms underlying segregation distortion are discussed: genetic load vs. reproductive barriers. Our findings suggest a predominance of pre-zygotic to post-zygotic barriers.
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Affiliation(s)
- Catherine Bodénès
- INRA, UMR1202 BIOGECO, F-33610 Cestas, France Université de Bordeaux, UMR1202 BIOGECO, F-33610 Talence, France
| | - Emilie Chancerel
- INRA, UMR1202 BIOGECO, F-33610 Cestas, France Université de Bordeaux, UMR1202 BIOGECO, F-33610 Talence, France
| | - François Ehrenmann
- INRA, UMR1202 BIOGECO, F-33610 Cestas, France Université de Bordeaux, UMR1202 BIOGECO, F-33610 Talence, France
| | - Antoine Kremer
- INRA, UMR1202 BIOGECO, F-33610 Cestas, France Université de Bordeaux, UMR1202 BIOGECO, F-33610 Talence, France
| | - Christophe Plomion
- INRA, UMR1202 BIOGECO, F-33610 Cestas, France Université de Bordeaux, UMR1202 BIOGECO, F-33610 Talence, France
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23
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Pavy N, Gagnon F, Deschênes A, Boyle B, Beaulieu J, Bousquet J. Development of highly reliable in silico SNP resource and genotyping assay from exome capture and sequencing: an example from black spruce (Picea mariana). Mol Ecol Resour 2015; 16:588-98. [PMID: 26391535 DOI: 10.1111/1755-0998.12468] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Revised: 06/30/2015] [Accepted: 08/21/2015] [Indexed: 11/29/2022]
Abstract
Picea mariana is a widely distributed boreal conifer across Canada and the subject of advanced breeding programmes for which population genomics and genomic selection approaches are being developed. Targeted sequencing was achieved after capturing P. mariana exome with probes designed from the sequenced transcriptome of Picea glauca, a distant relative. A high capture efficiency of 75.9% was reached although spruce has a complex and large genome including gene sequences interspersed by some long introns. The results confirmed the relevance of using probes from congeneric species to perform successfully interspecific exome capture in the genus Picea. A bioinformatics pipeline was developed including stringent criteria that helped detect a set of 97,075 highly reliable in silico SNPs. These SNPs were distributed across 14,909 genes. Part of an Infinium iSelect array was used to estimate the rate of true positives by validating 4267 of the predicted in silico SNPs by genotyping trees from P. mariana populations. The true positive rate was 96.2% for in silico SNPs, compared to a genotyping success rate of 96.7% for a set 1115 P. mariana control SNPs recycled from previous genotyping arrays. These results indicate the high success rate of the genotyping array and the relevance of the selection criteria used to delineate the new P. mariana in silico SNP resource. Furthermore, in silico SNPs were generally of medium to high frequency in natural populations, thus providing high informative value for future population genomics applications.
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Affiliation(s)
- Nathalie Pavy
- Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research, Université Laval, Québec, QC, G1V 0A6, Canada.,Institute of Systems and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada
| | - France Gagnon
- Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research, Université Laval, Québec, QC, G1V 0A6, Canada.,Institute of Systems and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Astrid Deschênes
- Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research, Université Laval, Québec, QC, G1V 0A6, Canada.,Institute of Systems and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Brian Boyle
- Institute of Systems and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Jean Beaulieu
- Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research, Université Laval, Québec, QC, G1V 0A6, Canada.,Natural Resources Canada, Canadian Wood Fibre Centre, 1055 Rue du P.E.P.S., PO Box 10380, Station Sainte-Foy, Québec, QC, G1V 4C7, Canada
| | - Jean Bousquet
- Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research, Université Laval, Québec, QC, G1V 0A6, Canada.,Institute of Systems and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada
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24
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Plomion C, Bartholomé J, Lesur I, Boury C, Rodríguez-Quilón I, Lagraulet H, Ehrenmann F, Bouffier L, Gion JM, Grivet D, de Miguel M, de María N, Cervera MT, Bagnoli F, Isik F, Vendramin GG, González-Martínez SC. High-density SNP assay development for genetic analysis in maritime pine (Pinus pinaster). Mol Ecol Resour 2015; 16:574-87. [PMID: 26358548 DOI: 10.1111/1755-0998.12464] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Revised: 08/28/2015] [Accepted: 09/03/2015] [Indexed: 12/18/2022]
Abstract
Maritime pine provides essential ecosystem services in the south-western Mediterranean basin, where it covers around 4 million ha. Its scattered distribution over a range of environmental conditions makes it an ideal forest tree species for studies of local adaptation and evolutionary responses to climatic change. Highly multiplexed single nucleotide polymorphism (SNP) genotyping arrays are increasingly used to study genetic variation in living organisms and for practical applications in plant and animal breeding and genetic resource conservation. We developed a 9k Illumina Infinium SNP array and genotyped maritime pine trees from (i) a three-generation inbred (F2) pedigree, (ii) the French breeding population and (iii) natural populations from Portugal and the French Atlantic coast. A large proportion of the exploitable SNPs (2052/8410, i.e. 24.4%) segregated in the mapping population and could be mapped, providing the densest ever gene-based linkage map for this species. Based on 5016 SNPs, natural and breeding populations from the French gene pool exhibited similar level of genetic diversity. Population genetics and structure analyses based on 3981 SNP markers common to the Portuguese and French gene pools revealed high levels of differentiation, leading to the identification of a set of highly differentiated SNPs that could be used for seed provenance certification. Finally, we discuss how the validated SNPs could facilitate the identification of ecologically and economically relevant genes in this species, improving our understanding of the demography and selective forces shaping its natural genetic diversity, and providing support for new breeding strategies.
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Affiliation(s)
- C Plomion
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | - J Bartholomé
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | - I Lesur
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,HelixVenture, F-33700, Mérignac, France
| | - C Boury
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | | | - H Lagraulet
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | - F Ehrenmann
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | - L Bouffier
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | - J M Gion
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,UMR AGAP, CIRAD, F-33612, Cestas, France
| | - D Grivet
- Forest Research Centre, INIA, E-28040, Madrid, Spain
| | - M de Miguel
- BIOGECO, UMR 1202, INRA, F-33610, Cestas, France.,BIOGECO, UMR 1202, University of Bordeaux, F-33400, Talence, France
| | - N de María
- Forest Research Centre, INIA, E-28040, Madrid, Spain
| | - M T Cervera
- Forest Research Centre, INIA, E-28040, Madrid, Spain
| | - F Bagnoli
- Institute of Biosciences and Bioresources, National Research Council, Sesto Fiorentino (FI), Italy
| | - F Isik
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
| | - G G Vendramin
- Institute of Biosciences and Bioresources, National Research Council, Sesto Fiorentino (FI), Italy
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25
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Plomion C, Aury JM, Amselem J, Alaeitabar T, Barbe V, Belser C, Bergès H, Bodénès C, Boudet N, Boury C, Canaguier A, Couloux A, Da Silva C, Duplessis S, Ehrenmann F, Estrada-Mairey B, Fouteau S, Francillonne N, Gaspin C, Guichard C, Klopp C, Labadie K, Lalanne C, Le Clainche I, Leplé JC, Le Provost G, Leroy T, Lesur I, Martin F, Mercier J, Michotey C, Murat F, Salin F, Steinbach D, Faivre-Rampant P, Wincker P, Salse J, Quesneville H, Kremer A. Decoding the oak genome: public release of sequence data, assembly, annotation and publication strategies. Mol Ecol Resour 2015; 16:254-65. [PMID: 25944057 DOI: 10.1111/1755-0998.12425] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 04/27/2015] [Accepted: 04/30/2015] [Indexed: 12/31/2022]
Abstract
The 1.5 Gbp/2C genome of pedunculate oak (Quercus robur) has been sequenced. A strategy was established for dealing with the challenges imposed by the sequencing of such a large, complex and highly heterozygous genome by a whole-genome shotgun (WGS) approach, without the use of costly and time-consuming methods, such as fosmid or BAC clone-based hierarchical sequencing methods. The sequencing strategy combined short and long reads. Over 49 million reads provided by Roche 454 GS-FLX technology were assembled into contigs and combined with shorter Illumina sequence reads from paired-end and mate-pair libraries of different insert sizes, to build scaffolds. Errors were corrected and gaps filled with Illumina paired-end reads and contaminants detected, resulting in a total of 17,910 scaffolds (>2 kb) corresponding to 1.34 Gb. Fifty per cent of the assembly was accounted for by 1468 scaffolds (N50 of 260 kb). Initial comparison with the phylogenetically related Prunus persica gene model indicated that genes for 84.6% of the proteins present in peach (mean protein coverage of 90.5%) were present in our assembly. The second and third steps in this project are genome annotation and the assignment of scaffolds to the oak genetic linkage map. In accordance with the Bermuda and Fort Lauderdale agreements and the more recent Toronto Statement, the oak genome data have been released into public sequence repositories in advance of publication. In this presubmission paper, the oak genome consortium describes its principal lines of work and future directions for analyses of the nature, function and evolution of the oak genome.
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Affiliation(s)
- Christophe Plomion
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Joëlle Amselem
- INRA, Unité de Recherche Génomique Info (URGI), Versailles, F78026, France
| | - Tina Alaeitabar
- INRA, Unité de Recherche Génomique Info (URGI), Versailles, F78026, France
| | - Valérie Barbe
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Caroline Belser
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | | | - Catherine Bodénès
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | | | - Christophe Boury
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | | | - Arnaud Couloux
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Corinne Da Silva
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Sébastien Duplessis
- INRA, UMR1136 INRA-Université de Lorraine, Interactions Arbres/Micro-organismes, Laboratoire d'Excellence ARBRE, Champenoux, F-54280, France
| | - François Ehrenmann
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | - Barbara Estrada-Mairey
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Stéphanie Fouteau
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | | | - Christine Gaspin
- Plateforme bioinformatique Toulouse Midi-Pyrénées, UBIA, INRA, Castanet-Tolosan, F-31326, France
| | | | - Christophe Klopp
- Plateforme bioinformatique Toulouse Midi-Pyrénées, UBIA, INRA, Castanet-Tolosan, F-31326, France
| | - Karine Labadie
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Céline Lalanne
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | | | - Jean-Charles Leplé
- INRA, UR0588 Amélioration Génétique et Physiologie Forestières, Orléans, F-45075, France
| | - Grégoire Le Provost
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | - Thibault Leroy
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | - Isabelle Lesur
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | - Francis Martin
- INRA, UMR1136 INRA-Université de Lorraine, Interactions Arbres/Micro-organismes, Laboratoire d'Excellence ARBRE, Champenoux, F-54280, France
| | - Jonathan Mercier
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France
| | - Célia Michotey
- INRA, Unité de Recherche Génomique Info (URGI), Versailles, F78026, France
| | - Florent Murat
- INRA/UBP UMR 1095, Laboratoire Génétique, Diversité et Ecophysiologie des Céréales, Clermont-Ferrand, F-63039, France
| | - Franck Salin
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
| | - Delphine Steinbach
- INRA, Unité de Recherche Génomique Info (URGI), Versailles, F78026, France
| | | | - Patrick Wincker
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, Evry, 91057, France.,Université d'Evry Val d'Essone, UMR 8030, Evry, CP5706, France.,Centre National de Recherche Scientifique (CNRS), UMR 8030, Evry, CP5706, France
| | - Jérôme Salse
- INRA/UBP UMR 1095, Laboratoire Génétique, Diversité et Ecophysiologie des Céréales, Clermont-Ferrand, F-63039, France
| | - Hadi Quesneville
- INRA, Unité de Recherche Génomique Info (URGI), Versailles, F78026, France
| | - Antoine Kremer
- INRA, UMR1202, BIOGECO, Cestas, F-33610, France.,University of Bordeaux, BIOGECO, UMR1202, Talence, F-33170, France
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26
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Lesur I, Le Provost G, Bento P, Da Silva C, Leplé JC, Murat F, Ueno S, Bartholomé J, Lalanne C, Ehrenmann F, Noirot C, Burban C, Léger V, Amselem J, Belser C, Quesneville H, Stierschneider M, Fluch S, Feldhahn L, Tarkka M, Herrmann S, Buscot F, Klopp C, Kremer A, Salse J, Aury JM, Plomion C. The oak gene expression atlas: insights into Fagaceae genome evolution and the discovery of genes regulated during bud dormancy release. BMC Genomics 2015; 16:112. [PMID: 25765701 PMCID: PMC4350297 DOI: 10.1186/s12864-015-1331-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2014] [Accepted: 02/09/2015] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Many northern-hemisphere forests are dominated by oaks. These species extend over diverse environmental conditions and are thus interesting models for studies of plant adaptation and speciation. The genomic toolbox is an important asset for exploring the functional variation associated with natural selection. RESULTS The assembly of previously available and newly developed long and short sequence reads for two sympatric oak species, Quercus robur and Quercus petraea, generated a comprehensive catalog of transcripts for oak. The functional annotation of 91 k contigs demonstrated the presence of a large proportion of plant genes in this unigene set. Comparisons with SwissProt accessions and five plant gene models revealed orthologous relationships, making it possible to decipher the evolution of the oak genome. In particular, it was possible to align 9.5 thousand oak coding sequences with the equivalent sequences on peach chromosomes. Finally, RNA-seq data shed new light on the gene networks underlying vegetative bud dormancy release, a key stage in development allowing plants to adapt their phenology to the environment. CONCLUSION In addition to providing a vast array of expressed genes, this study generated essential information about oak genome evolution and the regulation of genes associated with vegetative bud phenology, an important adaptive traits in trees. This resource contributes to the annotation of the oak genome sequence and will provide support for forward genetics approaches aiming to link genotypes with adaptive phenotypes.
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Affiliation(s)
- Isabelle Lesur
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- HelixVenture, F-33700, Mérignac, France.
| | - Grégoire Le Provost
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
| | - Pascal Bento
- CEA-Institut de Génomique, GENOSCOPE, Centre National de Séquençage, 2 rue Gaston Crémieux, CP5706, F-91057, Evry Cedex, France.
| | - Corinne Da Silva
- CEA-Institut de Génomique, GENOSCOPE, Centre National de Séquençage, 2 rue Gaston Crémieux, CP5706, F-91057, Evry Cedex, France.
| | - Jean-Charles Leplé
- INRA, UR0588 Amélioration Génétique et Physiologie Forestières, F-45075, Orléans, France.
| | - Florent Murat
- INRA/UBP UMR 1095, Laboratoire Génétique, Diversité et Ecophysiologie des Céréales, F-63039, Clermont-Ferrand, France.
| | - Saneyoshi Ueno
- Forestry and Forest Products Research Institute, Department of Forest Genetics, Tree Genetics Laboratory, 1 Matsunosato, Tsukuba, Ibaraki, 305-8687, Japan.
| | - Jerôme Bartholomé
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- CIRAD, UMR AGAP, F-34398, Montpellier, France.
| | - Céline Lalanne
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
| | - François Ehrenmann
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
| | - Céline Noirot
- Plateforme bioinformatique Toulouse Midi-Pyrénées, UBIA, INRA, F-31326, Auzeville Castanet-Tolosan, France.
| | - Christian Burban
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
| | - Valérie Léger
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
| | - Joelle Amselem
- INRA, Unité de Recherche Génomique Info (URGI), F78026, Versailles, France.
| | - Caroline Belser
- CEA-Institut de Génomique, GENOSCOPE, Centre National de Séquençage, 2 rue Gaston Crémieux, CP5706, F-91057, Evry Cedex, France.
| | - Hadi Quesneville
- INRA, Unité de Recherche Génomique Info (URGI), F78026, Versailles, France.
| | | | - Silvia Fluch
- AIT Austrian Institute of Technology GmbH, Konrad-Lorenz Str 24, 3430, Tulln, Austria.
| | - Lasse Feldhahn
- Department of Soil Ecology, UFZ - Helmholtz Centre for Environmental Research, DE-06120, Halle/Saale, Germany.
| | - Mika Tarkka
- Department of Soil Ecology, UFZ - Helmholtz Centre for Environmental Research, DE-06120, Halle/Saale, Germany.
- iDiv - German Centre for Integrative Biodiversity Research, Halle Jena Leipzig, DE-04103, Leipzig, Germany.
| | - Sylvie Herrmann
- iDiv - German Centre for Integrative Biodiversity Research, Halle Jena Leipzig, DE-04103, Leipzig, Germany.
- Department of Community Ecology, UFZ - Helmholtz Centre for Environmental Research, 06120, Halle/Saale, Germany.
| | - François Buscot
- Department of Soil Ecology, UFZ - Helmholtz Centre for Environmental Research, DE-06120, Halle/Saale, Germany.
- iDiv - German Centre for Integrative Biodiversity Research, Halle Jena Leipzig, DE-04103, Leipzig, Germany.
| | - Christophe Klopp
- Plateforme bioinformatique Toulouse Midi-Pyrénées, UBIA, INRA, F-31326, Auzeville Castanet-Tolosan, France.
| | - Antoine Kremer
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
| | - Jérôme Salse
- INRA/UBP UMR 1095, Laboratoire Génétique, Diversité et Ecophysiologie des Céréales, F-63039, Clermont-Ferrand, France.
| | - Jean-Marc Aury
- CEA-Institut de Génomique, GENOSCOPE, Centre National de Séquençage, 2 rue Gaston Crémieux, CP5706, F-91057, Evry Cedex, France.
| | - Christophe Plomion
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.
- University Bordeaux, BIOGECO, UMR1202, F-33170, Talence, France.
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