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Record W2955081636 · doi:10.5539/jas.v11n11p233

Identification and Characterization of S-RNases in Japanese Plum Genotypes

2019· article· en· W2955081636 on OpenAlexvenueno aff
Rauny O. de Souza, Marco Antônio Dalbó, Eugênia Jacira Bolacel Braga, Valmor João Bianchi

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyGenotypeAlleleGeneticsLocus (genetics)Primer (cosmetics)HaplotypeDNA sequencingDNAGene

Abstract

fetched live from OpenAlex

Many species of the genus Prunus exhibit the gametophytic self-incompatibility system, governed by the S-locus, that encode S-Ribonucleases in the pistil, and are able to degrade the RNA of the pollen tubes when the S-haplotypes of both gametophytes are the same, preventing the fertilization of the oosphere. The objective of this study was to identify and characterize the S-alleles of Japanese Plum genotypes to verify groups of reproductive compatibility. Isolation, amplification and DNA sequencing were performed to obtain an allelic profile of the genotypes. Combinations of PC1 and PC2 primers identified 95% of the genotypes. After sequencing, the ‘Sc’, ‘Si’, ‘Sa’ and ‘Sh’ alleles were obtained with an identity greater than 90%, compared to the NCBI sequences. PC2 was more extensive in identifying the S-alleles in the S-RNases coding region, generating larger fragments than PC1. In this way, it was possible to generate three groups of genotypes with S-alleles of the same size with PC2: Group 1 (Selection Embrapa A19, Selection Embrapa A28, Black Amber Black, Fortune, Roysum, SC-7 and Zafira); and Group 2: (Selection Embrapa A7, Carazinho, Sanguínea, Laroda, SC-15 and Rebelatto) and Group 3 (Selection Ameixa 86-13, Golden King, Letícia and Robusto). Each primer combination amplified only one allele per genotype, suggesting the development of specific primers to amplify the S-alleles in each genotype. The identification and characterization of the alleles allow the use of genotypes compatible with each other, considering the floral synchrony of the genotypes, besides providing information for the management of the breeding processes in Japanese Plums.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.089

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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 teacher head, 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

Citations1
Published2019
Admission routes1
Has abstractyes

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