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Organellar genomes of white spruce (<i>Picea glauca</i>): assembly and annotation

2016· article· en· W2585214847 on OpenAlexaff
Shaun D. Jackman, René L. Warren, Ewan A. Gibb, Benjamin P. Vandervalk, Hamid Mohamadi, Justin Chu, Anthony Raymond, Stephen Pleasance, Robin Coope, Mark R. Wildung, Carol Ritland, Jean Bousquet, Steven J.M. Jones, Jöerg Bohlmann, İnanç Birol

Bibliographic record

VenueFaculty of 1000 Research Ltd · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversité LavalUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsGenomeBiologyPlastidGeneMitochondrial DNAGeneticsSequence assemblyShotgun sequencingNuclear geneRibosomal RNAShotgunRNA editingRNAComputational biologyTranscriptomeGene expressionChloroplast

Abstract

fetched live from OpenAlex

The genome sequences of the plastid and mitochondrion of white spruce ( Picea glauca ) were assembled from whole-genome shotgun sequencing data using ABySS. The sequencing data contained reads from both the nuclear and organellar genomes, and reads of the organellar genomes were abundant in the data as each cell harbors hundreds of mitochondria and plastids. Hence, assembly of the 123-kb plastid and 5.9-Mb mitochondrial genomes were accomplished by analyzing data sets primarily representing low coverage of the nuclear genome. The assembled organellar genomes were annotated for their coding genes, ribosomal RNA, and transfer RNA. Transcript abundances of the mitochondrial genes were quantified in three developmental tissues and five mature tissues using data from RNA-seq experiments. C-to-U RNA editing was observed in the majority of mitochondrial genes, and in four genes, editing events were noted to modify ACG codons to create cryptic AUG start codons. The informatics methodology presented in this study should prove useful to assemble organellar genomes of other plant species using whole-genome shotgun sequencing data. Chloroplast genomes of gymnosperms, including conifers, are well studied, but little is known about the mitochondria of gymnosperms. In fact, only a single gymnosperm mitochondrion is found in NCBI GenBank. This nearest related mitochondrial sequence is of the Prince Sago palm ( Cycas taitungensis ) native to Taiwan, which diverged from the white spruce over a hundred million years ago. No conifer mitochondrion genomes are to be found in GenBank at all, until now. Roughly one percent of the whole genome sequencing reads of white spruce are from its two organellar genomes: the chloroplast and mitochondrion. We assembled these reads using ABySS and found the mitochondrion genome to be nearly six megabases, which is unusually large for a mitochondrial genome. Although many genes typical of mitochondria were found in the genome, most open reading frames had no similarity to any known gene. White spruce is an economically important species to the forestry industry of Canada. Insights into the conifer mitochondrial genome will provide relevant new information to reconstruct the evolution of this organelle genome relative to other plant lineages, and to identify which genes of a conifer are uniquely inherited through the mitochondria. As the mitochondrial genome is inherited maternally, and the plastid genome is inherited paternally, having a complete genome sequence for both organelles would enable classifying the maternal and paternal species of hybrid seed lots and determining the maternal and paternal lineage of saplings in breeding experiments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.316
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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