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Record W4281619941 · doi:10.3390/f13060873

Identification and Comparative Analysis of Conserved and Species-Specific microRNAs in Four Populus Sections

2022· article· en· W4281619941 on OpenAlexaff
Yong-Li Qi, Liang‐Jiao Xue, Yousry A. El‐Kassaby, Ying Guo

Bibliographic record

VenueForests · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of British Columbia
FundersNational Natural Science Foundation of China
KeywordsBiologymicroRNAGeneticsGeneNucleotide diversitySingle-nucleotide polymorphismPopulus trichocarpaAdaptation (eye)Evolutionary biologyPopulus euphraticaGenetic diversityIdentification (biology)Computational biologyGenomeHaplotypeBotanyAlleleGenotypePopulation

Abstract

fetched live from OpenAlex

The conservation and diversity of microRNA (miRNA) families provide insights into the evolution of miRNA genes. However, there are few studies to explore the miRNA genes at the genus level in plants. Here, we identified 1194 miRNA loci in four Populus species P. deltoides, P. euphratica, P. tremula, and P. trichocarpa from Aigeiros, Turanga, Populus, and Tacamahaca sections, respectively, by combining de novo and homolog-based approaches. Our results indicated that a similar number of miRNA loci exist in each species (296–301 miRNA loci). Among the identified 143 miRNA families, 68 families are shared by the studied four species, and 31 families are species-specific, which might be related to local adaptation. Additionally, multiple miRNA-related single nucleotide polymorphisms (SNPs) were found, indicating that polymorphisms in pre-miRNA hairpins were likely to affect miRNA biogenesis. This study expanded the breadth and depth of miRNA annotations and provided valuable resources for further exploring the diversity and function of poplar miRNAs.

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 score0.001

Distilled classifier scores by category (both heads)

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

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 head0.072
GPT teacher head0.278
Teacher spread0.205 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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