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Record W3107855858 · doi:10.5376/ijh.2020.10.0006

Genotyping and Genetic Diversity Analysis of 47 Flowering Cherry (<I>Cerasus</i>) Germplasms

2020· article· en· W3107855858 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Horticulture · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSilkworms and Sericulture Research
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic diversityGermplasmBiologyGenotypingGenotypeGeneticsSingle-nucleotide polymorphismPhylogenetic treePopulationBotanyMedicineGene

Abstract

fetched live from OpenAlex

In order to provide a theoretical basis for conservation and utilization of excellent flowering cherry germplasms, genetic diversity and genotype were analyzed based on single nucleotide polymorphism (SNP) molecular markers. A total of 47 germplasms were sequenced using restriction site-associated DNA sequencing (RAD-Seq) method, and highly consistent SNP sites have been identified for genetic diversity analysis and genotyping. The RAxML program was used for phylogenetic tree construction, based on the maximum likelihood (ML) method. The ADMIXTURE software was used to analyze genetic structure. The GCTA software was used for principal component analysis. Genetic diversity parameters, includes nucleotide diversity (π value), expected heterozygosity (exp  He ) and genetic differentiation index ( F ST ), were carried out using the PopGenome and Arlequin 3.0 software. A total of 79 667 highly consistent SNPs were obtained, after genotype integrity filtering and closely linked sites screening. According to the phylogenetic, principal components and population structure analysis results, the 47 germplasms could be divided into eight genetic clusters. The π and exp  He  value of each cluster was as follows: I: 0.128 19, 0.119 94; II: 0.139 64, 0.130 55; III: 0.21 55, 0.164 73; IV: 0.086 82, 0.061 22; V: 0.095 49, 0.069 73; VI: 0.191 22, 0.10 61; VII: 0.16 85, 0.158 78; VIII: 0.290 98, 0.183 43. The cluster IV and V presented the largest genetic differentiation, with an  F ST value of 0.4612 89, followed by IV and VI, with an  F ST  value of 0.456 958; the lowest genetic differentiation existed between the cluster VII and VIII, with an  F ST  value of 0.0976 13. Except for cluster VII and VIII, the genetic differentiation among the other clusters was at or above the medium level. The results of genotyping showed that there were 29 individuals (61.70 %) with single genetic component, and 18 individuals (38.30 %) with two or three genetic components. Based on the results of genetic components analysis, there were four potential interspecific hybridizations. There was a high genetic diversity among 47 flowering cherry germplasms, obvious genetic differentiation among the eight clusters. The genetic components of natural hybrid individuals and artificial hybrid cultivars were revealed, and their parents were inferred, based on the genotyping results. 

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

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

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 head0.021
GPT teacher head0.241
Teacher spread0.220 · 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