Assessing the Gene Content of the Megagenome: Sugar Pine (Pinus lambertiana). 2016

Daniel Gonzalez-Ibeas, and Pedro J Martinez-Garcia, and Randi A Famula, and Annette Delfino-Mix, and Kristian A Stevens, and Carol A Loopstra, and Charles H Langley, and David B Neale, and Jill L Wegrzyn
Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut 06269.

Sugar pine (Pinus lambertiana Douglas) is within the subgenus Strobus with an estimated genome size of 31 Gbp. Transcriptomic resources are of particular interest in conifers due to the challenges presented in their megagenomes for gene identification. In this study, we present the first comprehensive survey of the P. lambertiana transcriptome through deep sequencing of a variety of tissue types to generate more than 2.5 billion short reads. Third generation, long reads generated through PacBio Iso-Seq have been included for the first time in conifers to combat the challenges associated with de novo transcriptome assembly. A technology comparison is provided here to contribute to the otherwise scarce comparisons of second and third generation transcriptome sequencing approaches in plant species. In addition, the transcriptome reference was essential for gene model identification and quality assessment in the parallel project responsible for sequencing and assembly of the entire genome. In this study, the transcriptomic data were also used to address questions surrounding lineage-specific Dicer-like proteins in conifers. These proteins play a role in the control of transposable element proliferation and the related genome expansion in conifers.

UI MeSH Term Description Entries
D005810 Multigene Family A set of genes descended by duplication and variation from some ancestral gene. Such genes may be clustered together on the same chromosome or dispersed on different chromosomes. Examples of multigene families include those that encode the hemoglobins, immunoglobulins, histocompatibility antigens, actins, tubulins, keratins, collagens, heat shock proteins, salivary glue proteins, chorion proteins, cuticle proteins, yolk proteins, and phaseolins, as well as histones, ribosomal RNA, and transfer RNA genes. The latter three are examples of reiterated genes, where hundreds of identical genes are present in a tandem array. (King & Stanfield, A Dictionary of Genetics, 4th ed) Gene Clusters,Genes, Reiterated,Cluster, Gene,Clusters, Gene,Families, Multigene,Family, Multigene,Gene Cluster,Gene, Reiterated,Multigene Families,Reiterated Gene,Reiterated Genes
D014644 Genetic Variation Genotypic differences observed among individuals in a population. Genetic Diversity,Variation, Genetic,Diversity, Genetic,Diversities, Genetic,Genetic Diversities,Genetic Variations,Variations, Genetic
D017343 Genes, Plant The functional hereditary units of PLANTS. Plant Genes,Gene, Plant,Plant Gene
D043244 Ribonuclease III An endoribonuclease that is specific for double-stranded RNA. It plays a role in POST-TRANSCRIPTIONAL RNA PROCESSING of pre-RIBOSOMAL RNA and a variety of other RNA structures that contain double-stranded regions. Dicer Enzyme,RNase D,RNase III,Ribonuclease D,Enzyme, Dicer
D058977 Molecular Sequence Annotation The addition of descriptive information about the function or structure of a molecular sequence to its MOLECULAR SEQUENCE DATA record. Gene Annotation,Protein Annotation,Annotation, Gene,Annotation, Molecular Sequence,Annotation, Protein,Annotations, Gene,Annotations, Molecular Sequence,Annotations, Protein,Gene Annotations,Molecular Sequence Annotations,Protein Annotations,Sequence Annotation, Molecular,Sequence Annotations, Molecular
D059014 High-Throughput Nucleotide Sequencing Techniques of nucleotide sequence analysis that increase the range, complexity, sensitivity, and accuracy of results by greatly increasing the scale of operations and thus the number of nucleotides, and the number of copies of each nucleotide sequenced. The sequencing may be done by analysis of the synthesis or ligation products, hybridization to preexisting sequences, etc. High-Throughput Sequencing,Illumina Sequencing,Ion Proton Sequencing,Ion Torrent Sequencing,Next-Generation Sequencing,Deep Sequencing,High-Throughput DNA Sequencing,High-Throughput RNA Sequencing,Massively-Parallel Sequencing,Pyrosequencing,DNA Sequencing, High-Throughput,High Throughput DNA Sequencing,High Throughput Nucleotide Sequencing,High Throughput RNA Sequencing,High Throughput Sequencing,Massively Parallel Sequencing,Next Generation Sequencing,Nucleotide Sequencing, High-Throughput,RNA Sequencing, High-Throughput,Sequencing, Deep,Sequencing, High-Throughput,Sequencing, High-Throughput DNA,Sequencing, High-Throughput Nucleotide,Sequencing, High-Throughput RNA,Sequencing, Illumina,Sequencing, Ion Proton,Sequencing, Ion Torrent,Sequencing, Massively-Parallel,Sequencing, Next-Generation
D059467 Transcriptome The pattern of GENE EXPRESSION at the level of genetic transcription in a specific organism or under specific circumstances in specific cells. Transcriptomes,Gene Expression Profiles,Gene Expression Signatures,Transcriptome Profiles,Expression Profile, Gene,Expression Profiles, Gene,Expression Signature, Gene,Expression Signatures, Gene,Gene Expression Profile,Gene Expression Signature,Profile, Gene Expression,Profile, Transcriptome,Profiles, Gene Expression,Profiles, Transcriptome,Signature, Gene Expression,Signatures, Gene Expression,Transcriptome Profile
D018506 Gene Expression Regulation, Plant Any of the processes by which nuclear, cytoplasmic, or intercellular factors influence the differential control of gene action in plants. Plant Gene Expression Regulation,Regulation of Gene Expression, Plant,Regulation, Gene Expression, Plant
D018745 Genome, Plant The genetic complement of a plant (PLANTS) as represented in its DNA. Plant Genome,Genomes, Plant,Plant Genomes
D019295 Computational Biology A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets. Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational

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