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Record W3155759387 · doi:10.1080/23802359.2021.1911715

Complete mitochondrial genome of the harmful algal bloom species <i>Thalassiosira nordenskioeldii</i> (Mediophyceae, Bacillariophyta) from the east China sea

2021· article· en· W3155759387 on OpenAlexaff
Kuiyan Liu, Shuya Liu, Yang Chen, Feng Liu, Nansheng Chen

Bibliographic record

VenueMitochondrial DNA Part B · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsSimon Fraser University
FundersMajor Scientific and Technological Innovation Project of Shandong ProvinceNational Natural Science Foundation of China
KeywordsDiatomBiologyChina seaMitochondrial DNABloomAlgal bloomGenomeEcologyPhytoplanktonGeneOceanographyGeneticsNutrient

Abstract

fetched live from OpenAlex

Thalassiosira nordenskioeldii is a common harmful algal bloom (HAB) species with worldwide distribution. Although barcode sequences of this ecologically important species have been published, no genome data have been published for T. nordenskioeldii. In this study, we constructed the complete mitochondrial genome (mtDNA) of a T. nordenskioeldii strain isolated from the East China Sea. The T. nordenskioeldii mtDNA is circular and has a length of 47,038 bp and a GC content of 30.84%. The mtDNA encodes 69 genes, including 40 protein-coding (PCGs), 27 tRNA and two rRNA genes. Phylogenetic analysis using concatenated amino acid sequences of 31 shared PCGs from 37 diatom mtDNAs revealed that the mtDNA of T. nordenskioeldii was fully resolved in a clade with that of Thalassiosira profunda. The mtDNA of T. nordenskioeldii showed high collinearity with those of T. profunda and Skeletonema marinoi with only minor rearrangements. The completion of Thalassiosira mtDNAs will facilitate evolutionary studies on species of the order Thalassiosirales and the class Mediophyceae.

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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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Same venueMitochondrial DNA Part BSame topicMarine Toxins and Detection MethodsFrench-language works237,207