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Molecular characterization of Spodoptera litura Nucleopolyhedrovirus (SlNPV) Labuhan Batu isolate

2022· article· en· W4210335803 on OpenAlexaboutno aff
D P Sinambela, Darma Bakti, Maryani Cyccu Tobing, YM Kusumah

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsnot available
Fundersnot available
KeywordsSpodoptera lituraBiologyAmpliconVeterinary medicinePEST analysisPolymerase chain reactionHorticultureBiotechnologyBotanyLepidoptera genitaliaMedicineGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Spodoptera litura F. is a new pest that potentially becomes a serious pest threatening palm oil industry. The control can be carried out using biological control agents S.litura Nucleopolyhedrovirus ( Sl NPV). Molecular approach using polymerase chain reaction (PCR) has been used to characterize the Sl NPV isolate. The aim of this study was to determine the molecular characteristics of Sl NPV Labuhan Batu isolate based on DNA sequence analysis. The NPV isolate was collected from oil palm plantation Negeri Lama Estate Group, PT. Hari sawit Jaya, Asian Agri, Labuhan Batu. The Sl NPV DNA extraction was conducted using the DNA gSYNC kit. The amplification of Sl NPV DNA was done by specific primers with oligonucleotide sequences forward 5′-ACGTTACGATCTAGATCC-3′ and reverse 5′-AACGTTAGACAGACATAT-3′ with ±700bp of amplicon. Homology and phylogeny characteristics were used to determine the relationship of Sl NPV isolate from Labuhan Batu to NPV from other countries were reported in the GeneBank of National Center for Biotechnology Information (NCBI). The results showed that Sl NPV isolate from Labuhan Batu had the closest related to Sl NPV from Australia, Sli NPV from Canada and Sl NPV from China, with the similarity percentage 100%, 96% and 90% respectively. They belong to the same group as the NPVs that infected the Spodoptera genus.

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 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 score0.031
Threshold uncertainty score0.474

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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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