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Record W3147455012 · doi:10.5539/ijb.v13n1p1

Cloning and Sequence Analysis of 5S Ribosomal RNA Gene(s) and Associated Intergenic Spacer Regions in Carica Species

2021· article· en· W3147455012 on OpenAlexvenueno aff
Mahipal Singh, Pushpa Yadav, Anand K. Yadav

Bibliographic record

VenueInternational Journal of Biology · 2021
Typearticle
Languageen
FieldMedicine
TopicPapaya Research and Applications
Canadian institutionsnot available
FundersU.S. Department of Agriculture
KeywordsCaricaIntergenic regionBiologyRibosomal RNAGeneticsGeneSpacer DNASequence analysisInternal transcribed spacerHomology (biology)GenomeBotany

Abstract

fetched live from OpenAlex

The 5S ribosomal RNA gene(s) and their associated intergenic spacer regions were amplified from Carica papaya and Carica quercifolia by polymerase chain reaction. Both Carica species exhibited differently sized amplification products. Sequence analysis of these PCR products revealed that the 5S rRNA genes are arranged as tandem repeats in these regions. Sequence data revealed that the 5S rRNA gene from Carica quercifolia was 119 bp in length. Sequence variation was observed in various 5S rRNA gene copies cloned from Carica quercifolia. Only truncated 5S rRNA gene but with its full spacer region was recovered from Carica papaya. Interestingly, intergenic spacer sequence cloned from Carica papaya contained two specific domains, a 30bp “CT” rich domain exhibiting 95-100% homology to several human chromosomes and a domain matching with mitrocomin precursor, a photo-protein from Mitrocoma cellularia. The role of 5S rRNA gene and their spacer regions in discerning the germplasm and in adaptation of the species is discussed.

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 score0.002
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.379
Teacher spread0.325 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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