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Record W4280634337 · doi:10.3389/fmars.2022.784579

Comparative Analysis of Pseudo-nitzschia Chloroplast Genomes Revealed Extensive Inverted Region Variation and Pseudo-nitzschia Speciation

2022· article· en· W4280634337 on OpenAlexaff
Ziyan He, Yang Chen, Yichao Wang, Kuiyan Liu, Qing Xu, Yang Li, Nansheng Chen

Bibliographic record

VenueFrontiers in Marine Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDomoic acidNitzschiaBiologyCladePhylogenetic treeBotanyGeneZoologyEcologyGeneticsToxinPhytoplankton

Abstract

fetched live from OpenAlex

Pseudo-nitzschia is a species-rich genus where many species can induce harmful algae blooms (HABs) associated with the toxin domoic acid (DA) production. Despite the importance of Pseudo-nitzschia species to coastal environments, their genomic information is rather limited, hindering research on biodiversity and evolutionary analysis. In this study, we report full-length chloroplast genomes (cpDNAs) of nine Pseudo‐nitzschia, among which cpDNAs of eight Pseudo-nitzschia species were reported for the first time. The sizes of these Pseudo-nitzschia cpDNAs, which showed typical quadripartite structures, varied substantially, ranging from 116,546 bp to 158,840 bp in size. Comparative analysis revealed the loss of photosynthesis-related gene psaE in cpDNAs of all Pseudo-nitzschia species except that of P. americana, and the selective loss of rpl36 in P. hainanensis. Phylogenetic analysis showed that all Pseudo-nitzschia strains were grouped into two clades, with clade 1 containing cpDNAs of P. multiseries, P. pungens, P. multistriata, and P. americana, and clade 2 containing cpDNAs of P. hainanensis, P. cuspidata, Pseudo-nitzschia sp. CNS00097, P. delicatissima, and P. micropora. The small size of the P. americana cpDNA was primarily due to its shortened inverted repeat (IR) regions. While psaA and psaB were found in the IR regions of cpDNAs of other eight species, these two genes were found outside of the IR regions of P. americana cpDNA. In contrast, P. hainanensis had the largest size because of expansion of IR regions with each IR region containing 15 protein-coding genes (PCGs). Eleven genetic regions of these Pseudo-nitzschia cpDNAs exhibited high nucleotide diversity (Pi) values, suggesting that these regions may be used as molecular markers for distinguishing different Pseudo-nitzschia species with high resolution and high specificity. Phylogenetic analysis of the divergence of nine Pseudo-nitzschia species indicated that these species appeared at approximately 41 Mya. This study provides critical cpDNA resources for future research on the biodiversity and speciation of Pseudo-nitzschia 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.014
GPT teacher head0.248
Teacher spread0.235 · 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

Citations9
Published2022
Admission routes1
Has abstractyes

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