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Record W2038842038 · doi:10.1139/g10-045

Construction of a <i>Coix</i> BAC library and isolation of the 22 kDa α-coixin gene cluster

2010· article· en· W2038842038 on OpenAlexvenueno aff
Xiangzong Meng, Binbin Huang, Liangliang Zhou, Yunxia He, Qi Chen, Yiwei Yuan, Zhengkai Xu, Rentao Song

Bibliographic record

VenueGenome · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsBiologyCoixGenomic libraryGeneticsBacterial artificial chromosomeSouthern blotContigGeneGenomeInsert (composites)Molecular biology

Abstract

fetched live from OpenAlex

Coix lacryma-jobi L. (Coix) is a close relative of maize and is considered a valuable genetic resource for crop improvement. Here we report the construction of the first Coix bacterial artificial chromosome (BAC) library using accession PI 324059. This BAC library contains about 230 400 clones with an average insert size of 113 kb, has low organellar DNA contamination, and provides 16.3-fold coverage of the genome. The library was stored in 12 × 96 pools that could be screened with a PCR protocol. Library screening was performed for the 22 kDa α-coixin gene family. A total of 57 positive pools were identified, and single clones were isolated from 19 of these pools. Based on DNA fingerprinting and Southern blot analysis, these 19 BAC clones form a single contig of about 340 kb in length, indicating that the 22 kDa α-coixin genes occur in a cluster. These results demonstrated the suitability of this BAC library for gene isolation and comparative genomics studies of the Coix genome.

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.003
GPT teacher head0.173
Teacher spread0.170 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

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