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Record W2620270635 · doi:10.5539/ijb.v9n3p51

Negative phototaxis in M. incognita

2017· article· en· W2620270635 on OpenAlexvenueno aff
Morihiro Oota, Eiji Gotoh, Masaharu Endo, Takashi Ishida, Tomonao Matsushita, Shinichiro Sawa

Bibliographic record

VenueInternational Journal of Biology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceFuji Foundation for Protein Research
KeywordsPhototaxisTerra incognitaMeloidogyne incognitaBiologyBlue lightNear ultravioletUltraviolet lightBotanyWhite lightAgar plateNematodeEcologyChemistryOptoelectronicsMaterials sciencePhotochemistryBacteria

Abstract

fetched live from OpenAlex

Phototaxis is a well-known behavior in many animals. However, little is known whether nematodes living in soil recognize light. Meloidogyne incognita is one of the most important root-knot nematode pests in the world. It has a very wide host range and can infect almost all plant species. Here, we examined the phototactic response in M. incognita. Negative phototactic behavior was observed in M. incognita on an agar plate. Nematodes responded by avoiding white light and blue light more than red light on agar plates. Light avoidance behavior of the nematodes was examined by microscopic analysis, and the nematodes escaped from near ultraviolet light (365 nm) in only approximately 3.2 seconds. They also avoided blue (470 nm), blue-green (500 nm), and green (550 nm) light in approximately 4.1, 7.4, and 10.0 seconds, respectively. These results suggest that M. incognita exhibits negative phototaxis, in particular, responding efficiently to shorter wavelength of light.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.249

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 head0.031
GPT teacher head0.298
Teacher spread0.267 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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