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Record W2612321966

Investigating cellular and molecular interactions between the hard clam (Mercenaria mercenaria) and its pathogen Quahog Parasite Unknown (QPX)

2016· article· en· W2612321966 on OpenAlexaboutno aff
Rachel B. Hartman

Bibliographic record

VenueAcademic Commons (Stony Brook University) · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMercenariaParasite hostingBiologyPathogenEcologyMicrobiologyComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Quahogs, or hard clams (Mercenaria mercenaria) are an economically important species of clam. They are often used for human consumption, but can also be indicators of water quality because of the bioaccumulation of contaminants within filter feeders. They are found abundantly on the east coast of the United States and Canada, and actively aquacultured from Massachusetts to Florida. The hard clam is a robust species with few naturally-occurring diseases. The most well-known disease of the hard clam is Quahog Parasite Unknown (QPX), a unicellular parasite found on the east coast of North America from Virginia up into Canada, causing well-documented mortality events. Though the presence of QPX disease has been documented since the 1960s, little information is available on cellular and molecular interactions between the parasite and clams. This research project targets the interactions between the clam immune system and QPX cells. The clam immune response to QPX consists of an inflammatory response that often involves the encapsulation of the parasite by clam immune cells, or hemocytes. This research identified the clam plasma proteins involved in the initial immune response to QPX and evaluated the role of plasma proteins in initiating the encapsulation response. The effect of exposure of clams to QPX on encapsulation rate and on the expression of plasma proteins that bind parasite cells was also determined. Results allowed the identification of proteins that recognize and bind parasite cells, providing molecular targets for future investigations of factors involved in clam resistance to the disease, and ultimately for the selection of resistant clam stocks. | 52 pages

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.806

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.237
Teacher spread0.197 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

Explore more

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