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Record W2021043724 · doi:10.1139/g07-066

Identification of a sex-specific SCAR marker in dioecious <i>Pandanus fascicularis</i> L. (Pandanaceae)

2007· article· en· W2021043724 on OpenAlexfundvenueno aff
Manjula Vinod, Prashanth S. Raghavan, Suja George, Ajay Parida

Bibliographic record

VenueGenome · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsnot available
FundersMultiple Sclerosis Scientific Research Foundation
KeywordsBiologyIdentification (biology)BotanyGeneticsEvolutionary biology

Abstract

fetched live from OpenAlex

Pandanus fascicularis L. is a dioecious plant native to South Asia with significant numbers in coastal areas. With the aim of distinguishing male genotypes from female genotypes early in the vegetative growth phase, the current study was initiated using molecular markers. Based on the principle of bulked segregant analysis, the sampled plants were separated into 2 bulks depending on their sex. Of the 89 random amplified polymorphic DNA and inter-simple sequence repeat markers used, one decamer (OPO-08) consistently amplified a 1263 bp band in the males that was absent in the females. Its DNA sequence did not exhibit significant similarity to previously characterized sequences, but the presence of mononucleotide and dinucleotide repeats suggested that it was a repeat-rich region. A sequence-characterized amplified region marker (MSSRF-01) designed for this fragment continued to amplify the specific allele in all the male plants. Southern hybridization performed using the sex-specific fragment as a probe yielded results consistent with those previously obtained by polymerase chain reaction. These results strongly suggest that MSSRF-01 is a male-specific molecular marker. With no information available on the presence of sex chromosomes in Pandanus, this marker can be used to differentiate the sexes.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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

Citations22
Published2007
Admission routes2
Has abstractyes

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