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Record W7134507331

The genome of black spruce : genome annotation & analyses

2023· other· en· W7134507331 on OpenAlexafffund
Theodora Lo

Bibliographic record

VenuecIRcle (University of British Columbia) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
FundersGenome British ColumbiaCanada's Michael Smith Genome Sciences CentreGenome Canada
KeywordsPhylogenetic treeGenomeGenomicsGenome sizePhylogeneticsPhylogenomicsComparative genomicsGenome evolution
DOInot available

Abstract

fetched live from OpenAlex

Abiotic and biotic stresses associated with climate change have been identified as a dominant cause of forest tree mortality in boreal forests. Some tree populations may have the capacity for rapid adaptation or migration to keep pace with changing environmental conditions. One species of interest is black spruce (Picea mariana [Mill.] B.S.P.) as adaptive variation in relation to climate change has previously been reported for this transcontinental North American conifer. As exhibited in studies of other economically important forest trees, genomic resources play a critical role in advancing our understanding of the genomic basis of adaptive variation; however, such resources are lacking for black spruce, with the few available being predominantly transcriptome-related. This thesis describes the first genome assembly of P. mariana with a reconstructed genome size of 18.3 Gbp and NG50 scaffold length of 36.0 kbp. A total of 66,332 protein-coding sequences were predicted in silico and annotated based on sequence homology. To showcase the value of this new genomic resource, phylogenetic and comparative genomics analyses were performed. Phylogenetic trees were estimated from the nuclear and organelle genome sequences of P. mariana and five other spruces. The phylogenetic tree estimated from mitochondrial genome sequences agrees with biogeography; specifically, P. mariana was strongly supported as a sister lineage to P. glauca and three other taxa found in western North America, followed by the European P. abies. In contrast, mixed topologies with weaker statistical support were obtained in phylogenetic trees estimated from nuclear and chloroplast genome sequences, indicative of ancient reticulate evolution affecting these two genomes. Clustering of protein-coding sequences from the six Picea taxa and two Pinus species resulted in 34,776 orthogroups, 560 of which appeared to be specific to P. mariana. Analysis of these specific orthogroups and dN/dS analysis of positive selection signatures for 497 single-copy orthogroups indicate gene functions mostly related to plant development and stress response. The P. mariana genome assembly and annotation provides a valuable resource for forest genetics research and applications in this broadly distributed species, especially in relation to climate adaptation.

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)0.001
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.021
GPT teacher head0.224
Teacher spread0.203 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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