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Record W6910518800 · doi:10.48448/vqsz-ws07

The Importance of Broad Thermal Tolerance in the Sea Lamprey's Successful Invasion of the Laurentian Great Lakes of North America

2022· other· en· W6910518800 on OpenAlexaff

Bibliographic record

VenueUnderline Science Inc. · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsLampreyAcclimatizationFish migrationSTREAMSInvertebrateLarvaRange (aeronautics)Mangrove

Abstract

fetched live from OpenAlex

Sea lamprey (Petromyzon marinus) invaded the Laurentian Great Lakes in the late 1800-early1900s through man-made canals, and devastated fisheries by preying upon salmonid fishes. Native to the Atlantic Ocean, anadromous sea lamprey spend 3-7 years in freshwater streams as filter-feeding larvae before metamorphosing into parasitic juvenile lamprey which migrate to sea and feed on a variety of fishes. Depending upon movements of their hosts, sea lamprey may end up 100-1000s of km from their natal streams when they spawn. For this reason, larval lamprey would likely require physiological flexibility to cope with differences in the water quality and temperature of novel habitats. We sought to test the hypothesis that broad thermal tolerance was key to the sea lamprey’s establishment in the Great Lakes. Thermal performance studies using intermittent-flow respirometry revealed that larval sea lamprey had low standard metabolic rates (SMR; ~1.0 μmol O2 g-1 h-1 ) and were relatively robust to changes in temperature as demonstrated by Q10 values of ~1.75 between 10-20°C and ~2.0 between 21-25°C. Aerobic metabolic scope (AMS) ranged from 6.6- 10.9 μmol O2 g-1 h-1 between 6-25°C, with a thermal optima of 26.6°C where AMS averaged 15.8 μmol O2 g-1 h-1. Depending upon acclimation temperature, CTmax values were between 33.3-35.2°C. Relatively high temperatures (~24-26°C) were also required to induce greater mRNA expression of cellular stress response proteins (E.g. JUN, HSP90B1; SERPINH1A). We conclude that a broad thermal tolerance contributed to the successful invasion of the Great Lakes by sea lamprey, and that further range shifts are possible with climate change.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.005
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0060.001
Research integrity0.0000.001
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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