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Record W3203762183 · doi:10.5376/mpb.2021.12.0030

Development of Polymorphic SSR Markers in <i>Vallisneria</i> Based on RAD seq

2021· article· en· W3203762183 on OpenAlexvenueno aff
Meng How Tan, Yuxin Shi, Haisu Zheng, Liu Shao, Peimin He

Bibliographic record

VenueMolecular Plant Breeding · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Species Descriptions
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyInbreedingGeneticsMicrosatelliteLoss of heterozygosityAlleleGenePopulation

Abstract

fetched live from OpenAlex

Vallisneria  belongs to Hydrocharitaceae, which is a pioneer species of ecological restoration in waters. In order to carry out a more comprehensive SSR analysis of Vallisneria , we used the restriction-site associated DNA sequencing (RAD-seq) technology to analyze Simple Sequence Repeats (SSR) information of  Vallisneria , SSR markers and primer of  Vallisneria  were developed based on RAD-seq data.Among which ,366 simple sequence repeats (SSR) loci were detected. Primers of 355 loci were designed successfully, and the two base repeat type SSR loci were the largest (59.56%). Finally, we confirmed 23 pairs of polymorphic SSR primers after the screening and validation. The analysis results by Genepop software showed that the mean number of alleles of the 23 loci is 3.26, and these loci do not link to each other (P<0.01). Four loci deviate from HWE (P<0.01) and the number of heterozygous roughly the same as that of homozygotes (observed heterozygosity mean of 0.460), inbreeding coefficient is high (mean of 0.880). Which could be caused by take sample too closely in the same sampling, and Vallisneria  have a combination of generative propagation and clone.

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 categoriesMeta-epidemiology (narrow)
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 score0.091
Threshold uncertainty score1.000

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 head0.016
GPT teacher head0.206
Teacher spread0.189 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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