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Record W3046188117 · doi:10.2179/0008-7475.85.2.285

The Complete Plastid Genome of Neottia bifolia (Raf.) Baumbach (Orchidaceae): Insights Into Chlorophyllous and Achlorophyllous Plastid Genomes

2020· article· en· W3046188117 on OpenAlexaboutno aff
Jeremy D. Rentsch, Landon J. Hardee, Caroline E. Shelley, Morghan T. Williams

Bibliographic record

VenueCastanea · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsPlastidBiologyGenomeEvolutionary biologyGenusCladeOrchidaceaeGeneBotanyPhylogenetic treeGeneticsChloroplast

Abstract

fetched live from OpenAlex

Neottia bifolia is a small, terrestrial orchid distributed across the southeastern United States and northward up the Atlantic coast into Canada. The genus is well-studied as a model for the evolution of mycoheterotrophy, having both chlorophyllous and putatively achlorophyllous taxa. Despite this, the photosynthetic species, N. bifolia is relatively understudied. We provide results from the sequencing, assembly, and annotation of the complete plastid genome of N. bifolia and examine some evolutionary trends in the genus, using the 10 additional complete Neottia plastid genomes available on GenBank. We find that the plastid genome of N. bifolia is 156,533 base pairs in length with 130 protein-coding genes, including 38 tRNA genes and eight rRNA genes. We find a similar number of rRNAs and tRNAs across the genus, but significantly fewer protein coding genes and an overall smaller plastid genome size in the mycoheterotrophic species. We find support for the monophyly of the mycoheterotrophic species. The placement of N. bifolia varies slightly between inferences, but the species is most frequently placed in a clade with Neottia cordata, Neottia japonica, and Neottia suzuki.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.035
GPT teacher head0.186
Teacher spread0.152 · 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 designObservational
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

Citations3
Published2020
Admission routes1
Has abstractyes

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