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Blanco-Pastor JL, Barre P, Keep T, Ledauphin T, Escobar-Gutiérrez A, Roschanski AM, Willner E, Dehmer KJ, Hegarty M, Muylle H, Veeckman E, Vandepoele K, Ruttink T, Roldán-Ruiz I, Manel S, Sampoux JP. Canonical correlations reveal adaptive loci and phenotypic responses to climate in perennial ryegrass. Mol Ecol Resour 2020; 21:849-870. [PMID: 33098268 DOI: 10.1111/1755-0998.13289] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/10/2020] [Accepted: 10/12/2020] [Indexed: 11/28/2022]
Abstract
Germplasm from perennial ryegrass (Lolium perenne L.) natural populations is useful for breeding because of its adaptation to a wide range of climates. Climate-adaptive genes can be detected from associations between genotype, phenotype and climate but an integrated framework for the analysis of these three sources of information is lacking. We used two approaches to identify adaptive loci in perennial ryegrass and their effect on phenotypic traits. First, we combined Genome-Environment Association (GEA) and GWAS analyses. Then, we implemented a new test based on a Canonical Correlation Analysis (CANCOR) to detect adaptive loci. Furthermore, we improved the previous perennial ryegrass gene set by de novo gene prediction and functional annotation of 39,967 genes. GEA-GWAS revealed eight outlier loci associated with both environmental variables and phenotypic traits. CANCOR retrieved 633 outlier loci associated with two climatic gradients, characterized by cold-dry winter versus mild-wet winter and long rainy season versus long summer, and pointed out traits putatively conferring adaptation at the extremes of these gradients. Our CANCOR test also revealed the presence of both polygenic and oligogenic climatic adaptations. Our gene annotation revealed that 374 of the CANCOR outlier loci were positioned within or close to a gene. Co-association networks of outlier loci revealed a potential utility of CANCOR for investigating the interaction of genes involved in polygenic adaptations. The CANCOR test provides an integrated framework to analyse adaptive genomic diversity and phenotypic responses to environmental selection pressures that could be used to facilitate the adaptation of plant species to climate change.
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Affiliation(s)
| | - Philippe Barre
- INRAE, Centre Nouvelle-Aquitaine-Poitiers, Lusignan, France
| | - Thomas Keep
- INRAE, Centre Nouvelle-Aquitaine-Poitiers, Lusignan, France
| | | | | | - Anna Maria Roschanski
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany
| | - Evelyn Willner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany
| | - Klaus J Dehmer
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Malchow/Poel, Germany
| | - Matthew Hegarty
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, UK
| | - Hilde Muylle
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium
| | - Elisabeth Veeckman
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium.,Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Klaas Vandepoele
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium.,Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - Tom Ruttink
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium
| | - Isabel Roldán-Ruiz
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Melle, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Stéphanie Manel
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier, Montpellier, France
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2
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Utilization of Tissue Ploidy Level Variation in de Novo Transcriptome Assembly of Pinus sylvestris. G3-GENES GENOMES GENETICS 2019; 9:3409-3421. [PMID: 31427456 PMCID: PMC6778806 DOI: 10.1534/g3.119.400357] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Compared to angiosperms, gymnosperms lag behind in the availability of assembled and annotated genomes. Most genomic analyses in gymnosperms, especially conifer tree species, rely on the use of de novo assembled transcriptomes. However, the level of allelic redundancy and transcript fragmentation in these assembled transcriptomes, and their effect on downstream applications have not been fully investigated. Here, we assessed three assembly strategies for short-reads data, including the utility of haploid megagametophyte tissue during de novo assembly as single-allele guides, for six individuals and five different tissues in Pinus sylvestris. We then contrasted haploid and diploid tissue genotype calls obtained from the assembled transcriptomes to evaluate the extent of paralog mapping. The use of the haploid tissue during assembly increased its completeness without reducing the number of assembled transcripts. Our results suggest that current strategies that rely on available genomic resources as guidance to minimize allelic redundancy are less effective than the application of strategies that cluster redundant assembled transcripts. The strategy yielding the lowest levels of allelic redundancy among the assembled transcriptomes assessed here was the generation of SuperTranscripts with Lace followed by CD-HIT clustering. However, we still observed some levels of heterozygosity (multiple gene fragments per transcript reflecting allelic redundancy) in this assembled transcriptome on the haploid tissue, indicating that further filtering is required before using these assemblies for downstream applications. We discuss the influence of allelic redundancy when these reference transcriptomes are used to select regions for probe design of exome capture baits and for estimation of population genetic diversity.
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3
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Veeckman E, Van Glabeke S, Haegeman A, Muylle H, van Parijs FRD, Byrne SL, Asp T, Studer B, Rohde A, Roldán-Ruiz I, Vandepoele K, Ruttink T. Overcoming challenges in variant calling: exploring sequence diversity in candidate genes for plant development in perennial ryegrass (Lolium perenne). DNA Res 2019; 26:1-12. [PMID: 30325414 PMCID: PMC6379033 DOI: 10.1093/dnares/dsy033] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 09/06/2018] [Indexed: 11/13/2022] Open
Abstract
Revealing DNA sequence variation within the Lolium perenne genepool is important for genetic analysis and development of breeding applications. We reviewed current literature on plant development to select candidate genes in pathways that control agronomic traits, and identified 503 orthologues in L. perenne. Using targeted resequencing, we constructed a comprehensive catalogue of genomic variation for a L. perenne germplasm collection of 736 genotypes derived from current cultivars, breeding material and wild accessions. To overcome challenges of variant calling in heterogeneous outbreeding species, we used two complementary strategies to explore sequence diversity. First, four variant calling pipelines were integrated with the VariantMetaCaller to reach maximal sensitivity. Additional multiplex amplicon sequencing was used to empirically estimate an appropriate precision threshold. Second, a de novo assembly strategy was used to reconstruct divergent alleles for each gene. The advantage of this approach was illustrated by discovery of 28 novel alleles of LpSDUF247, a polymorphic gene co-segregating with the S-locus of the grass self-incompatibility system. Our approach is applicable to other genetically diverse outbreeding species. The resulting collection of functionally annotated variants can be mined for variants causing phenotypic variation, either through genetic association studies, or by selecting carriers of rare defective alleles for physiological analyses.
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Affiliation(s)
- Elisabeth Veeckman
- ILVO, Plant Sciences Unit, B Melle, Belgium.,Bioinformatics Institute Ghent, Ghent University, B Ghent, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, B Ghent, Belgium
| | | | | | | | | | | | - Torben Asp
- Department of Molecular Biology and Genetics, Faculty of Science and Technology, Research Center Flakkebjerg Aarhus University, DK Slagelse, Denmark
| | - Bruno Studer
- Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, CH Zurich, Switzerland
| | | | - Isabel Roldán-Ruiz
- ILVO, Plant Sciences Unit, B Melle, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, B Ghent, Belgium
| | - Klaas Vandepoele
- Bioinformatics Institute Ghent, Ghent University, B Ghent, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, B Ghent, Belgium.,Center for Plant Systems Biology, VIB, B Ghent, Belgium
| | - Tom Ruttink
- ILVO, Plant Sciences Unit, B Melle, Belgium.,Bioinformatics Institute Ghent, Ghent University, B Ghent, Belgium
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4
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Ouyang L, Leus L, De Keyser E, Van Labeke MC. Seasonal changes in cold hardiness and carbohydrate metabolism in four garden rose cultivars. JOURNAL OF PLANT PHYSIOLOGY 2019; 232:188-199. [PMID: 30537606 DOI: 10.1016/j.jplph.2018.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 11/30/2018] [Accepted: 12/03/2018] [Indexed: 05/28/2023]
Abstract
We studied metabolic adaptations to cold stress in roses and identified genes in the carbohydrate pathway during acclimation and deacclimation. A field experiment with four rose cultivars belonging to different USDA plant hardiness zones was set up in Melle, Belgium (51° 0' N, 3° 48' E). The more cold-hardy cultivars ('Dagmar Hastrup' and 'John Cabot') reached their lowest LT50 value in December, indicating a rapid acclimation after the first occurrence of frost. Less cold-hardy cultivars ('Abraham Darby' and 'Chandos Beauty') reached their lowest LT50 in January/February when exposed to prolonged freezing temperatures. A cell dehydration pattern was found in the less cold-hardy cultivars 'Abraham Darby' and 'Chandos Beauty'. The expression of dehydrins (RhDHN5 and RhDNH6) was up-regulated during November-January. Carbohydrate metabolism is highly involved in cold acclimation in roses. Starch decreased from November towards January in all four cultivars and the hydrolysis of starch by the β-amylolytic pathway (BAM, DPE2) was identified in 'Dagmar Hastrup' from November to January. Oligosaccharides correlated with cold hardiness in three cultivars although no significant upregulation in RhMIPS and RhRS6, key genes in their biosynthesis, was found. Higher sucrose levels were found during acclimation in hardy cultivars, although transcript levels of RhINV2 was more prominent in 'Chandos Beauty'.
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Affiliation(s)
- Lin Ouyang
- Department of Plants and Crops, Ghent University, Coupure links 653, 9000 Gent, Belgium
| | - Leen Leus
- ILVO, Plant Sciences Unit, Caritasstraat 39, 9090 Melle, Belgium
| | - Ellen De Keyser
- ILVO, Plant Sciences Unit, Caritasstraat 39, 9090 Melle, Belgium
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5
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Li Z, De La Torre AR, Sterck L, Cánovas FM, Avila C, Merino I, Cabezas JA, Cervera MT, Ingvarsson PK, Van de Peer Y. Single-Copy Genes as Molecular Markers for Phylogenomic Studies in Seed Plants. Genome Biol Evol 2017; 9:1130-1147. [PMID: 28460034 PMCID: PMC5414570 DOI: 10.1093/gbe/evx070] [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] [Accepted: 04/26/2017] [Indexed: 01/02/2023] Open
Abstract
Phylogenetic relationships among seed plant taxa, especially within the gymnosperms, remain contested. In contrast to angiosperms, for which several genomic, transcriptomic and phylogenetic resources are available, there are few, if any, molecular markers that allow broad comparisons among gymnosperm species. With few gymnosperm genomes available, recently obtained transcriptomes in gymnosperms are a great addition to identifying single-copy gene families as molecular markers for phylogenomic analysis in seed plants. Taking advantage of an increasing number of available genomes and transcriptomes, we identified single-copy genes in a broad collection of seed plants and used these to infer phylogenetic relationships between major seed plant taxa. This study aims at extending the current phylogenetic toolkit for seed plants, assessing its ability for resolving seed plant phylogeny, and discussing potential factors affecting phylogenetic reconstruction. In total, we identified 3,072 single-copy genes in 31 gymnosperms and 2,156 single-copy genes in 34 angiosperms. All studied seed plants shared 1,469 single-copy genes, which are generally involved in functions like DNA metabolism, cell cycle, and photosynthesis. A selected set of 106 single-copy genes provided good resolution for the seed plant phylogeny except for gnetophytes. Although some of our analyses support a sister relationship between gnetophytes and other gymnosperms, phylogenetic trees from concatenated alignments without 3rd codon positions and amino acid alignments under the CAT + GTR model, support gnetophytes as a sister group to Pinaceae. Our phylogenomic analyses demonstrate that, in general, single-copy genes can uncover both recent and deep divergences of seed plant phylogeny.
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Affiliation(s)
- Zhen Li
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium.,Bioinformatics Institute Ghent, Ghent, Belgium
| | - Amanda R De La Torre
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden.,Department of Plant Sciences, University of California-Davis, Davis, CA
| | - Lieven Sterck
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium.,Bioinformatics Institute Ghent, Ghent, Belgium
| | - Francisco M Cánovas
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Campus Universitario de Teatinos s/n, Málaga, Spain
| | - Concepción Avila
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Campus Universitario de Teatinos s/n, Málaga, Spain
| | - Irene Merino
- Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | | | | | - Pär K Ingvarsson
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden.,Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Center for Plant Systems Biology, VIB, Ghent, Belgium.,Bioinformatics Institute Ghent, Ghent, Belgium.,Genomics Research Institute, University of Pretoria, Hatfield Campus, Pretoria, South Africa
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6
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Armero A, Baudouin L, Bocs S, This D. Improving transcriptome de novo assembly by using a reference genome of a related species: Translational genomics from oil palm to coconut. PLoS One 2017; 12:e0173300. [PMID: 28334050 PMCID: PMC5363918 DOI: 10.1371/journal.pone.0173300] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 02/17/2017] [Indexed: 01/20/2023] Open
Abstract
The palms are a family of tropical origin and one of the main constituents of the ecosystems of these regions around the world. The two main species of palm represent different challenges: coconut (Cocos nucifera L.) is a source of multiple goods and services in tropical communities, while oil palm (Elaeis guineensis Jacq) is the main protagonist of the oil market. In this study, we present a workflow that exploits the comparative genomics between a target species (coconut) and a reference species (oil palm) to improve the transcriptomic data, providing a proteome useful to answer functional or evolutionary questions. This workflow reduces redundancy and fragmentation, two inherent problems of transcriptomic data, while preserving the functional representation of the target species. Our approach was validated in Arabidopsis thaliana using Arabidopsis lyrata and Capsella rubella as references species. This analysis showed the high sensitivity and specificity of our strategy, relatively independent of the reference proteome. The workflow increased the length of proteins products in A. thaliana by 13%, allowing, often, to recover 100% of the protein sequence length. In addition redundancy was reduced by a factor greater than 3. In coconut, the approach generated 29,366 proteins, 1,246 of these proteins deriving from new contigs obtained with the BRANCH software. The coconut proteome presented a functional profile similar to that observed in rice and an important number of metabolic pathways related to secondary metabolism. The new sequences found with BRANCH software were enriched in functions related to biotic stress. Our strategy can be used as a complementary step to de novo transcriptome assembly to get a representative proteome of a target species. The results of the current analysis are available on the website PalmComparomics (http://palm-comparomics.southgreen.fr/).
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Affiliation(s)
- Alix Armero
- Montpellier SupAgro, UMR AGAP, Montpellier, France
| | | | - Stéphanie Bocs
- CIRAD, UMR AGAP, Montpellier, France
- South Green Bioinformatics Platform, Montpellier, France
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7
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Sykes T, Yates S, Nagy I, Asp T, Small I, Studer B. In Silico Identification of Candidate Genes for Fertility Restoration in Cytoplasmic Male Sterile Perennial Ryegrass (Lolium perenne L.). Genome Biol Evol 2017; 9:351-362. [PMID: 26951780 PMCID: PMC5499803 DOI: 10.1093/gbe/evw047] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2016] [Indexed: 12/24/2022] Open
Abstract
Perennial ryegrass (Lolium perenne L.) is widely used for forage production in both permanent and temporary grassland systems. To increase yields in perennial ryegrass, recent breeding efforts have been focused on strategies to more efficiently exploit heterosis by hybrid breeding. Cytoplasmic male sterility (CMS) is a widely applied mechanism to control pollination for commercial hybrid seed production and although CMS systems have been identified in perennial ryegrass, they are yet to be fully characterized. Here, we present a bioinformatics pipeline for efficient identification of candidate restorer of fertility (Rf) genes for CMS. From a high-quality draft of the perennial ryegrass genome, 373 pentatricopeptide repeat (PPR) genes were identified and classified, further identifying 25 restorer of fertility-like PPR (RFL) genes through a combination of DNA sequence clustering and comparison to known Rf genes. This extensive gene family was targeted as the majority of Rf genes in higher plants are RFL genes. These RFL genes were further investigated by phylogenetic analyses, identifying three groups of perennial ryegrass RFLs. These three groups likely represent genomic regions of active RFL generation and identify the probable location of perennial ryegrass PPR-Rf genes. This pipeline allows for the identification of candidate PPR-Rf genes from genomic sequence data and can be used in any plant species. Functional markers for PPR-Rf genes will facilitate map-based cloning of Rf genes and enable the use of CMS as an efficient tool to control pollination for hybrid crop production.
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Affiliation(s)
- Timothy Sykes
- Institute of Agricultural Sciences, Forage Crop Genetics, ETH Zurich, Zurich, Switzerland
| | - Steven Yates
- Institute of Agricultural Sciences, Forage Crop Genetics, ETH Zurich, Zurich, Switzerland
| | - Istvan Nagy
- Department of Molecular Biology and Genetics, Research Centre Flakkebjerg, Aarhus University, Slagelse, Denmark
| | - Torben Asp
- Department of Molecular Biology and Genetics, Research Centre Flakkebjerg, Aarhus University, Slagelse, Denmark
| | - Ian Small
- Plant Energy Biology, ARC Centre of Excellence, the University of Western Australia, Crawley, Western Australia, Australia
| | - Bruno Studer
- Institute of Agricultural Sciences, Forage Crop Genetics, ETH Zurich, Zurich, Switzerland
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8
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Bogaert KA, Beeckman T, De Clerck O. Two-step cell polarization in algal zygotes. NATURE PLANTS 2017; 3:16221. [PMID: 28112726 DOI: 10.1038/nplants.2016.221] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 12/19/2016] [Indexed: 06/06/2023]
Abstract
In most complex eukaryotes, development starts with the establishment of cell polarity determining the first axis of the body plan. This polarity axis is established by the asymmetrical distribution of intrinsic factors1-3, which breaks the symmetry in a single step. Zygotes of the brown alga Fucus, which unlike land plant and animal zygotes4,5 do not possess a maternally predetermined polarity axis, serve as models to study polarity establishment6,7. Here, we studied this process in Dictyota, and concluded that sense and direction of the cell polarization vector are established in two mechanistically and temporally distinct phases that are under control of different life cycle stages. On egg activation, the zygote elongates rapidly according to a maternally predetermined direction expressing the first phase of cell polarization. Which of the two poles of the resulting prolate spheroidal zygote will acquire the basal cell fate is subsequently environmentally determined. The second phase is accompanied by and dependent on zygotic transcription instead of relying uniquely on maternal factors8. Cell polarization, whereby determination of direction and sense of the polarization vector are temporally and mechanistically uncoupled, is unique and represents a favourable system to gain insight into the processes underlying cell polarity establishment in general.
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Affiliation(s)
- Kenny A Bogaert
- Department of Biology, Ghent University, Krijgslaan 281 S8, 9000 Ghent, Belgium
| | - Tom Beeckman
- VIB-UGent Center for Plant Systems Biology, Technologiepark 927, B-9052 Ghent, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 927, B-9052 Ghent, Belgium
| | - Olivier De Clerck
- Department of Biology, Ghent University, Krijgslaan 281 S8, 9000 Ghent, Belgium
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9
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Stočes Š, Ruttink T, Bartoš J, Studer B, Yates S, Zwierzykowski Z, Abrouk M, Roldán-Ruiz I, Książczyk T, Rey E, Doležel J, Kopecký D. Orthology Guided Transcriptome Assembly of Italian Ryegrass and Meadow Fescue for Single-Nucleotide Polymorphism Discovery. THE PLANT GENOME 2016; 9. [PMID: 27902806 DOI: 10.3835/plantgenome2016.02.0017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Single-nucleotide polymorphisms (SNPs) represent natural DNA sequence variation. They can be used for various applications including the construction of high-density genetic maps, analysis of genetic variability, genome-wide association studies, and map-based cloning. Here we report on transcriptome sequencing in the two forage grasses, meadow fescue ( Huds.) and Italian ryegrass ( Lam.), and identification of various classes of SNPs. Using the Orthology Guided Assembly (OGA) strategy, we assembled and annotated a total of 18,952 and 19,036 transcripts for Italian ryegrass and meadow fescue, respectively. In addition, we used transcriptome sequence data of perennial ryegrass ( L.) from a previous study to identify 16,613 transcripts shared across all three species. Large numbers of intraspecific SNPs were identified in all three species: 248,000 in meadow fescue, 715,000 in Italian ryegrass, and 529,000 in perennial ryegrass. Moreover, we identified almost 25,000 interspecific SNPs located in 5343 genes that can distinguish meadow fescue from Italian ryegrass and 15,000 SNPs located in 3976 genes that discriminate meadow fescue from both species. All identified SNPs were positioned in silico on the seven linkage groups (LGs) of using the GenomeZipper approach. With the identification and positioning of interspecific SNPs, our study provides a valuable resource for the grass research and breeding community and will enable detailed characterization of genomic composition and gene expression analysis in prospective × hybrids.
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10
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Velmurugan J, Mollison E, Barth S, Marshall D, Milne L, Creevey CJ, Lynch B, Meally H, McCabe M, Milbourne D. An ultra-high density genetic linkage map of perennial ryegrass (Lolium perenne) using genotyping by sequencing (GBS) based on a reference shotgun genome assembly. ANNALS OF BOTANY 2016; 118:71-87. [PMID: 27268483 PMCID: PMC4934400 DOI: 10.1093/aob/mcw081] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 10/28/2015] [Accepted: 02/17/2016] [Indexed: 05/26/2023]
Abstract
BACKGROUND AND AIMS High density genetic linkage maps that are extensively anchored to assembled genome sequences of the organism in question are extremely useful in gene discovery. To facilitate this process in perennial ryegrass (Lolium perenne L.), a high density single nucleotide polymorphism (SNP)- and presence/absence variant (PAV)-based genetic linkage map has been developed in an F2 mapping population that has been used as a reference population in numerous studies. To provide a reference sequence to which to align genotyping by sequencing (GBS) reads, a shotgun assembly of one of the grandparents of the population, a tenth-generation inbred line, was created using Illumina-based sequencing. METHODS The assembly was based on paired-end Illumina reads, scaffolded by mate pair and long jumping distance reads in the range of 3-40 kb, with >200-fold initial genome coverage. A total of 169 individuals from an F2 mapping population were used to construct PstI-based GBS libraries tagged with unique 4-9 nucleotide barcodes, resulting in 284 million reads, with approx. 1·6 million reads per individual. A bioinformatics pipeline was employed to identify both SNPs and PAVs. A core genetic map was generated using high confidence SNPs, to which lower confidence SNPs and PAVs were subsequently fitted in a straightforward binning approach. KEY RESULTS The assembly comprises 424 750 scaffolds, covering 1·11 Gbp of the 2·5 Gbp perennial ryegrass genome, with a scaffold N50 of 25 212 bp and a contig N50 of 3790 bp. It is available for download, and access to a genome browser has been provided. Comparison of the assembly with available transcript and gene model data sets for perennial ryegrass indicates that approx. 570 Mbp of the gene-rich portion of the genome has been captured. An ultra-high density genetic linkage map with 3092 SNPs and 7260 PAVs was developed, anchoring just over 200 Mb of the reference assembly. CONCLUSIONS The combined genetic map and assembly, combined with another recently released genome assembly, represent a significant resource for the perennial ryegrass genetics community.
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Affiliation(s)
- Janaki Velmurugan
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland University College Dublin, School of Agriculture and Food Science, Dublin, Ireland
| | - Ewan Mollison
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland Information and Computational Sciences Group, James Hutton Institute, Errol Road, Invergowrie, Dundee, UK Division of Plant Sciences, University of Dundee at the James Hutton Institute, Errol Road, Invergowrie, Dundee, UK
| | - Susanne Barth
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland
| | - David Marshall
- Information and Computational Sciences Group, James Hutton Institute, Errol Road, Invergowrie, Dundee, UK
| | - Linda Milne
- Information and Computational Sciences Group, James Hutton Institute, Errol Road, Invergowrie, Dundee, UK
| | | | - Bridget Lynch
- University College Dublin, School of Agriculture and Food Science, Dublin, Ireland
| | - Helena Meally
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland
| | - Matthew McCabe
- Teagasc, Animal and Grassland Research and Innovation Centre, Grange, Ireland
| | - Dan Milbourne
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland
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11
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Blackmore T, Thomas I, McMahon R, Powell W, Hegarty M. Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2015; 128:1917-1932. [PMID: 26093611 PMCID: PMC4572065 DOI: 10.1007/s00122-015-2556-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Accepted: 06/05/2015] [Indexed: 05/29/2023]
Abstract
Publically available SNP array increases the marker density for genotyping of forage crop, Lolium perenne. Applied to 90 European ecotypes composed of 716 individuals identifies a significant genetic-geographic correlation. Grassland ecosystems are ubiquitous across temperate and tropical regions, totalling 37% of the terrestrial land cover of the planet, and thus represent a global resource for understanding local adaptations to environment. However, genomic resources for grass species (outside cereals) are relatively poor. The advent of next-generation DNA sequencing and high-density SNP genotyping platforms enables the development of dense marker assays for population genetics analyses and genome-wide association studies. A high-density SNP marker resource (Illumina Infinium assay) for perennial ryegrass (Lolium perenne) was created and validated in a broad ecotype collection of 716 individuals sampled from 90 sites across Europe. Genetic diversity within and between populations was assessed. A strong correlation of geographic origin to genetic structure was found using principal component analysis, with significant correlation to longitude and latitude (P < 0.001). The potential of this array as a resource for studies of germplasm diversity and identifying traits underpinning adaptive variation is highlighted.
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Affiliation(s)
- T Blackmore
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, Wales, UK.
| | - I Thomas
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, Wales, UK
| | - R McMahon
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, Wales, UK
| | - W Powell
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, Wales, UK
| | - M Hegarty
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, Wales, UK.
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12
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van Parijs FRD, Ruttink T, Boerjan W, Haesaert G, Byrne SL, Asp T, Roldán-Ruiz I, Muylle H. Clade classification of monolignol biosynthesis gene family members reveals target genes to decrease lignin in Lolium perenne. PLANT BIOLOGY (STUTTGART, GERMANY) 2015; 17:877-92. [PMID: 25683375 DOI: 10.1111/plb.12316] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 01/19/2015] [Indexed: 05/08/2023]
Abstract
In monocots, lignin content has a strong impact on the digestibility of the cell wall fraction. Engineering lignin biosynthesis requires a profound knowledge of the role of paralogues in the multigene families that constitute the monolignol biosynthesis pathway. We applied a bioinformatics approach for genome-wide identification of candidate genes in Lolium perenne that are likely to be involved in the biosynthesis of monolignols. More specifically, we performed functional subtyping of phylogenetic clades in four multigene families: 4CL, COMT, CAD and CCR. Essential residues were considered for functional clade delineation within these families. This classification was complemented with previously published experimental evidence on gene expression, gene function and enzymatic activity in closely related crops and model species. This allowed us to assign functions to novel identified L. perenne genes, and to assess functional redundancy among paralogues. We found that two 4CL paralogues, two COMT paralogues, three CCR paralogues and one CAD gene are prime targets for genetic studies to engineer developmentally regulated lignin in this species. Based on the delineation of sequence conservation between paralogues and a first analysis of allelic diversity, we discuss possibilities to further study the roles of these paralogues in lignin biosynthesis, including expression analysis, reverse genetics and forward genetics, such as association mapping. We propose criteria to prioritise paralogues within multigene families and certain SNPs within these genes for developing genotyping assays or increasing power in association mapping studies. Although L. perenne was the target of the analyses presented here, this functional subtyping of phylogenetic clades represents a valuable tool for studies investigating monolignol biosynthesis genes in other monocot species.
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Affiliation(s)
- F R D van Parijs
- Plant Sciences Unit - Growth and Development, Institute for Agricultural and Fisheries Research (ILVO), Melle, Belgium
| | - T Ruttink
- Plant Sciences Unit - Growth and Development, Institute for Agricultural and Fisheries Research (ILVO), Melle, Belgium
| | - W Boerjan
- Department of Plant Systems Biology, VIB, Gent, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Gent, Belgium
| | - G Haesaert
- Faculty Bioscience Engineering, Department of Applied Biosciences, Ghent University, Gent, Belgium
| | - S L Byrne
- Department of Molecular Biology and Genetics, Research Centre Flakkebjerg, Aarhus University, Slagelse, Denmark
| | - T Asp
- Department of Molecular Biology and Genetics, Research Centre Flakkebjerg, Aarhus University, Slagelse, Denmark
| | - I Roldán-Ruiz
- Plant Sciences Unit - Growth and Development, Institute for Agricultural and Fisheries Research (ILVO), Melle, Belgium
| | - H Muylle
- Plant Sciences Unit - Growth and Development, Institute for Agricultural and Fisheries Research (ILVO), Melle, Belgium
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13
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Czaban A, Sharma S, Byrne SL, Spannagl M, Mayer KFX, Asp T. Comparative transcriptome analysis within the Lolium/Festuca species complex reveals high sequence conservation. BMC Genomics 2015; 16:249. [PMID: 25886302 PMCID: PMC4389671 DOI: 10.1186/s12864-015-1447-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 03/06/2015] [Indexed: 01/18/2023] Open
Abstract
Background The Lolium-Festuca complex incorporates species from the Lolium genera and the broad leaf fescues, both belonging to the subfamily Pooideae. This subfamily also includes wheat, barley, oat and rye, making it extremely important to world agriculture. Species within the Lolium-Festuca complex show very diverse phenotypes, and many of them are related to agronomically important traits. Analysis of sequenced transcriptomes of these non-model species may shed light on the molecular mechanisms underlying this phenotypic diversity. Results We have generated de novo transcriptome assemblies for four species from the Lolium-Festuca complex, ranging from 52,166 to 72,133 transcripts per assembly. We have also predicted a set of proteins and validated it with a high-confidence protein database from three closely related species (H. vulgare, B. distachyon and O. sativa). We have obtained gene family clusters for the four species using OrthoMCL and analyzed their inferred phylogenetic relationships. Our results indicate that VRN2 is a candidate gene for differentiating vernalization and non-vernalization types in the Lolium-Festuca complex. Grouping of the gene families based on their BLAST identity enabled us to divide ortholog groups into those that are very conserved and those that are more evolutionarily relaxed. The ratio of the non-synonumous to synonymous substitutions enabled us to pinpoint protein sequences evolving in response to positive selection. These proteins may explain some of the differences between the more stress tolerant Festuca, and the less stress tolerant Lolium species. Conclusions Our data presents a comprehensive transcriptome sequence comparison between species from the Lolium-Festuca complex, with the identification of potential candidate genes underlying some important phenotypical differences within the complex (such as VRN2). The orthologous genes between the species have a very high %id (91,61%) and the majority of gene families were shared for all of them. It is likely that the knowledge of the genomes will be largely transferable between species within the complex. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1447-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Adrian Czaban
- Department of Molecular Biology and Genetics, Aarhus University, Forsøgsvej 1, Slagelse, 4200, Denmark.
| | - Sapna Sharma
- Plant Genome and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, Neuherberg, 85764, Germany.
| | - Stephen L Byrne
- Department of Molecular Biology and Genetics, Aarhus University, Forsøgsvej 1, Slagelse, 4200, Denmark.
| | - Manuel Spannagl
- Plant Genome and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, Neuherberg, 85764, Germany.
| | - Klaus F X Mayer
- Plant Genome and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, Neuherberg, 85764, Germany.
| | - Torben Asp
- Department of Molecular Biology and Genetics, Aarhus University, Forsøgsvej 1, Slagelse, 4200, Denmark.
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14
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Koning-Boucoiran CFS, Esselink GD, Vukosavljev M, van 't Westende WPC, Gitonga VW, Krens FA, Voorrips RE, van de Weg WE, Schulz D, Debener T, Maliepaard C, Arens P, Smulders MJM. Using RNA-Seq to assemble a rose transcriptome with more than 13,000 full-length expressed genes and to develop the WagRhSNP 68k Axiom SNP array for rose (Rosa L.). FRONTIERS IN PLANT SCIENCE 2015; 6:249. [PMID: 25954285 PMCID: PMC4404716 DOI: 10.3389/fpls.2015.00249] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 03/27/2015] [Indexed: 05/18/2023]
Abstract
In order to develop a versatile and large SNP array for rose, we set out to mine ESTs from diverse sets of rose germplasm. For this RNA-Seq libraries containing about 700 million reads were generated from tetraploid cut and garden roses using Illumina paired-end sequencing, and from diploid Rosa multiflora using 454 sequencing. Separate de novo assemblies were performed in order to identify single nucleotide polymorphisms (SNPs) within and between rose varieties. SNPs among tetraploid roses were selected for constructing a genotyping array that can be employed for genetic mapping and marker-trait association discovery in breeding programs based on tetraploid germplasm, both from cut roses and from garden roses. In total 68,893 SNPs were included on the WagRhSNP Axiom array. Next, an orthology-guided assembly was performed for the construction of a non-redundant rose transcriptome database. A total of 21,740 transcripts had significant hits with orthologous genes in the strawberry (Fragaria vesca L.) genome. Of these 13,390 appeared to contain the full-length coding regions. This newly established transcriptome resource adds considerably to the currently available sequence resources for the Rosaceae family in general and the genus Rosa in particular.
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Affiliation(s)
| | - G. Danny Esselink
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - Mirjana Vukosavljev
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | | | - Virginia W. Gitonga
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - Frans A. Krens
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - Roeland E. Voorrips
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - W. Eric van de Weg
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - Dietmar Schulz
- Abteilung Molekulare Pflanzenzüchtung, Institute for Plant Genetics, Leibnitz University HannoverHannover, Germany
| | - Thomas Debener
- Abteilung Molekulare Pflanzenzüchtung, Institute for Plant Genetics, Leibnitz University HannoverHannover, Germany
| | - Chris Maliepaard
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - Paul Arens
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
| | - Marinus J. M. Smulders
- Wageningen UR Plant Breeding, Wageningen University and Research CentreWageningen, Netherlands
- *Correspondence: Marinus J. M. Smulders, Wageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, NL-6708 PB Wageningen, Netherlands
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15
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Agarwal P, Parida SK, Mahto A, Das S, Mathew IE, Malik N, Tyagi AK. Expanding frontiers in plant transcriptomics in aid of functional genomics and molecular breeding. Biotechnol J 2014; 9:1480-92. [PMID: 25349922 DOI: 10.1002/biot.201400063] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 09/02/2014] [Accepted: 10/01/2014] [Indexed: 12/30/2022]
Abstract
The transcript pool of a plant part, under any given condition, is a collection of mRNAs that will pave the way for a biochemical reaction of the plant to stimuli. Over the past decades, transcriptome study has advanced from Northern blotting to RNA sequencing (RNA-seq), through other techniques, of which real-time quantitative polymerase chain reaction (PCR) and microarray are the most significant ones. The questions being addressed by such studies have also matured from a solitary process to expression atlas and marker-assisted genetic enhancement. Not only genes and their networks involved in various developmental processes of plant parts have been elucidated, but also stress tolerant genes have been highlighted. The transcriptome of a plant with altered expression of a target gene has given information about the downstream genes. Marker information has been used for breeding improved varieties. Fortunately, the data generated by transcriptome analysis has been made freely available for ample utilization and comparison. The review discusses this wide variety of transcriptome data being generated in plants, which includes developmental stages, abiotic and biotic stress, effect of altered gene expression, as well as comparative transcriptomics, with a special emphasis on microarray and RNA-seq. Such data can be used to determine the regulatory gene networks, which can subsequently be utilized for generating improved plant varieties.
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Affiliation(s)
- Pinky Agarwal
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, India
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16
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Farrell JD, Byrne S, Paina C, Asp T. De novo assembly of the perennial ryegrass transcriptome using an RNA-Seq strategy. PLoS One 2014; 9:e103567. [PMID: 25126744 PMCID: PMC4134189 DOI: 10.1371/journal.pone.0103567] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2013] [Accepted: 07/02/2014] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Perennial ryegrass is a highly heterozygous outbreeding grass species used for turf and forage production. Heterozygosity can affect de-Bruijn graph assembly making de novo transcriptome assembly of species such as perennial ryegrass challenging. Creating a reference transcriptome from a homozygous perennial ryegrass genotype can circumvent the challenge of heterozygosity. The goals of this study were to perform RNA-sequencing on multiple tissues from a highly inbred genotype to develop a reference transcriptome. This was complemented with RNA-sequencing of a highly heterozygous genotype for SNP calling. RESULT De novo transcriptome assembly of the inbred genotype created 185,833 transcripts with an average length of 830 base pairs. Within the inbred reference transcriptome 78,560 predicted open reading frames were found of which 24,434 were predicted as complete. Functional annotation found 50,890 transcripts with a BLASTp hit from the Swiss-Prot non-redundant database, 58,941 transcripts with a Pfam protein domain and 1,151 transcripts encoding putative secreted peptides. To evaluate the reference transcriptome we targeted the high-affinity K+ transporter gene family and found multiple orthologs. Using the longest unique open reading frames as the reference sequence, 64,242 single nucleotide polymorphisms were found. One thousand sixty one open reading frames from the inbred genotype contained heterozygous sites, confirming the high degree of homozygosity. CONCLUSION Our study has developed an annotated, comprehensive transcriptome reference for perennial ryegrass that can aid in determining genetic variation, expression analysis, genome annotation, and gene mapping.
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Affiliation(s)
- Jacqueline D. Farrell
- Department of Molecular Biology and Genetics, Aarhus University, Research Centre Flakkebjerg, Slagelse, Denmark
| | - Stephen Byrne
- Department of Molecular Biology and Genetics, Aarhus University, Research Centre Flakkebjerg, Slagelse, Denmark
| | - Cristiana Paina
- Department of Molecular Biology and Genetics, Aarhus University, Research Centre Flakkebjerg, Slagelse, Denmark
| | - Torben Asp
- Department of Molecular Biology and Genetics, Aarhus University, Research Centre Flakkebjerg, Slagelse, Denmark
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17
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Bai Y, Dougherty L, Xu K. Towards an improved apple reference transcriptome using RNA-seq. Mol Genet Genomics 2014; 289:427-38. [PMID: 24532088 DOI: 10.1007/s00438-014-0819-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Accepted: 01/25/2014] [Indexed: 11/25/2022]
Abstract
The reference genome of apple (Malus × domestica) has been available since 2010. Despite being a milestone in apple genomics, the reference genome is difficult to be used as a reference in RNA-seq (RNA sequencing) analysis, a widespread technology in transcriptomic studies. One of the major limitations appears to be the low coverage of the reference transcriptome in RNA-seq mapping of reads. To improve the reference transcriptome, we obtained 14 sets of strand-specific RNA-seq data of 168.5 million reads in total from fruit of Golden Delicious (GD, the source of the reference genome) in varying growth and developmental stages. Using a combination of genome-guided assembly and de novo assembly, the apple reference transcriptome was improved to a collection of 71,178 genes or transcripts, which includes 53,654 genes predicted originally (with MDP prefixed in their IDs) and 17,524 novel transcripts. Of these novel transcripts, 8,144 were identified from reads directly mapped to the reference genome while the remaining 9,380 were extracted from de novo assemblies of reads that could not be initially mapped to the reference genome. Evaluating the improved apple reference transcriptome with reads from Golden Delicious and other genotypes used in this and other studies showed that it allowed 62.5 ± 9.3-82.3 ± 2.7 % of reads to be mapped, a marked increase from the low rates of 37.4 ± 7.7-46.6 ± 7.1 % offered by the original reference transcriptome. The improved reference transcriptome therefore represents a step forward towards a complete reference transcriptome in apple.
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Affiliation(s)
- Yang Bai
- Department of Horticulture, Cornell University, New York State Agricultural Experiment Station, Geneva, NY, 14456, USA
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18
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Kopecký D, Studer B. Emerging technologies advancing forage and turf grass genomics. Biotechnol Adv 2013; 32:190-9. [PMID: 24309540 DOI: 10.1016/j.biotechadv.2013.11.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 11/18/2013] [Accepted: 11/20/2013] [Indexed: 11/20/2022]
Abstract
Grassland is of major importance for agricultural production and provides valuable ecosystem services. Its impact is likely to rise in changing socio-economic and climatic environments. High yielding forage grass species are major components of sustainable grassland production. Understanding the genome structure and function of grassland species provides opportunities to accelerate crop improvement and thus to mitigate the future challenges of increased feed and food demand, scarcity of natural resources such as water and nutrients, and high product qualities. In this review, we will discuss a selection of technological developments that served as main drivers to generate new insights into the structure and function of nuclear genomes. Many of these technologies were originally developed in human or animal science and are now increasingly applied in plant genomics. Our main goal is to highlight the benefits of using these technologies for forage and turf grass genome research, to discuss their potentials and limitations as well as their relevance for future applications.
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Affiliation(s)
- David Kopecký
- Centre of the Region Haná for Biotechnological and Agricultural Research, Institute of Experimental Botany, Šlechtitelů 31, CZ-78371, Olomouc-Holice, Czech Republic
| | - Bruno Studer
- Forage Crop Genetics, Institute of Agricultural Sciences, ETH Zurich, Universitaetsstrasse 2, 8092 Zurich, Switzerland.
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