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Record W2295824619 · doi:10.12651/jsr.2015.4.2.152

Chloroplast genome of white wild chrysanthemum, Dendranthema sp. K247003, as genetic barcode

2015· article· en· W2295824619 on OpenAlexfundno aff
Sang Kun Park, Soo-Jin Kwon, Jihye Park, Minjee Lee, So Youn Won, Young Chul Kim, Yoon-Jung Hwang, Seong‐Han Sohn, Jung-Ho Lee

Bibliographic record

VenueJournal of Species Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
FundersRural Development AdministrationEgg Farmers of Canada
KeywordsBiologyGenomeIndelGeneticsGeneIntronDNA barcodingGenome sizeSingle-nucleotide polymorphismEvolutionary biologyGenotype

Abstract

fetched live from OpenAlex

Dendranthema boreale and D. indicum are easily distinguished from other Korean Dendranthema spp. by having yellow flowers. We have found a putative new taxon of Dendranthema having white flowers, except for sharing most characters with Dendranthema boreale. The chloroplast (cp) genome of the putative new taxon of Dendranthema, Dendranthema sp. K247003, registered in National Agro-Biodiversity Center (ABC), was completely characterized as a genetic barcode. The cp-genome of Dendranthema sp. K247003 was 151,175-bp in size: LSC was 82,886-bp, IR 24,971-bp, SSC 18,347-bp. The cp-genome of Dendranthema sp. K247003 contains 113 genes and 21 introns consisted of 79 protein coding genes, 4 RNA genes, and 30 tRNA genes, with 20 group II introns and one group I intron. Some of the genes and there introns were duplicated in IR. The cp-DNA of Dendranthema sp. K247003 is distinguished from that of D. boreale IT121002 by 67 SNPs in genic regions of 24 protein coding genes and by a 9-bp INDEL in ycf1. Further cp-DNA study will give us better information on genetic markers of Dendranthema species.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.064
GPT teacher head0.325
Teacher spread0.261 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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