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Record W2749623428 · doi:10.1139/cjas-2016-0061

Germinal disc region: an appropriate source for obtaining maternal DNA from eggs

2017· article· en· W2749623428 on OpenAlexvenueno aff
Zhepeng Wang, Changliang Yan, Guoqiang Zhang, Guohua Meng, Yu Du, Ruifang Liu

Bibliographic record

VenueCanadian Journal of Animal Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsDNADNA extractionEggshellBiologyMolecular biologyRolling circle replicationDNA sequencingPolymerase chain reactionGeneticsDNA polymeraseGeneEcology

Abstract

fetched live from OpenAlex

Eggs may serve as an alternative source for DNA extraction. The quality of DNA extracted from eggshell, whole egg liquid (WEL), and germinal disc region (GDR) was compared based on the spectrophotometric, electrophoretic, PCR, and reduced-representation library sequencing (RRLS) results. Although these DNAs were all invisible on the gel and cannot be measured spectrophotometrically, the GDR DNA was superior to the eggshell and WEL DNA in PCR efficiency. After the whole genome amplification (WGA) was introduced, the yield of GDR DNA was significantly increased. The obtaining DNA had overwhelming superiority over the eggshell and WEL DNA in the ratio of captured genome and the number of called SNP. The GDR DNA extraction followed by the WGA provides a method to obtain sufficient DNA from a single egg.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.067
GPT teacher head0.295
Teacher spread0.228 · 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.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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