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Record W2978635777 · doi:10.1242/jeb.193086

Fungused frogs fail to fix fast fluid flux

2019· article· en· W2978635777 on OpenAlexaff
Andy J. Turko

Bibliographic record

VenueJournal of Experimental Biology · 2019
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsMcMaster UniversityUniversity of Windsor
Fundersnot available
KeywordsSloughingAmphibianChytridiomycosisBiologyFungusChytridiomycotaWater flowEcologyZoologyBotanyEnvironmental sciencePathology

Abstract

fetched live from OpenAlex

Amphibian populations are facing a crisis – the chytrid fungus Batrachochytrium dendrobatidis is responsible for the decline of more than 500 species around the world. This fungal infection targets the skin of amphibians, making it leaky and susceptible to water loss. To fight back, amphibians shed their outer layer of skin – called sloughing – hopefully removing the fungus in the process. However, skin sloughing itself can also interfere with water balance, as water moves easily through the highly permeable fresh skin. In healthy amphibians, a compensatory mechanism seems to exist, but chytrid-infected amphibians are not so lucky, and perhaps skin sloughing is to blame.A new study, led by Nicholas Wu at the University of Queensland, Australia, aimed to discover the molecular mechanisms used to regulate water balance during amphibian skin sloughing and asked whether chytrid interfered with this process. First, the authors compared how fast thirsty green tree frogs absorbed water through their skin, and found that the rate depended on the degree of chytrid infection. The more infected the frog, the slower the rate of water absorption, suggesting that the skin was impaired in some way.Next, the authors collected samples of frog skin and used radioactive water to measure the flow rate across the skin in each direction. Chytrid infection had no effect on inward water flow, but almost doubled the flow of water out of the frogs. To understand why outward water flow in infected frogs was so much faster, Wu and colleagues zeroed in on a group of protein water channels known as aquaporins. Salts constantly leak out of frogs across the skin into the environment, and this movement of salt tends to pull water along with it; aquaporins are thought to fight back against this process to help maintain water balance in the frogs. The team used mercury chloride to disrupt the aquaporin proteins in the skins of infected frogs and found that the rate of water loss across the skin increased, consistent with the idea that aquaporins are key to reducing outward water flow. Intrigued, the authors next measured the expression levels of genes that encode aquaporin proteins in healthy and infected frogs before and immediately after skin sloughing. In healthy frogs, the aquaporin gene expression levels increased as much as 45-fold after sloughing, suggesting that this is a key mechanism that maintains water balance during the sensitive period. However, the increase in aquaporin gene expression was completely absent in the infected frogs, which may explain why they lose water so much faster.The team also knew that water can move through the tiny gaps between skin cells and animals can slow this movement by tightening those inter-cellular gaps using junction proteins. To examine whether frogs use this tightening to conserve water after skin sloughing, the authors again measured gene expression levels. In healthy frogs, the junction protein gene expression levels increased after sloughing, suggesting that it usually works alongside increased aquaporin levels to protect the animals’ water balance. However, the junction protein gene expression levels were even higher in chytrid-infected frogs, even when they were not sloughing their skin. This is likely an attempt to compensate for the high rates of water loss after infection, but, unfortunately for the frogs, it is only a partial solution.This is the first evidence of chytrid infection directly interfering with the molecular machinery responsible for water balance in amphibian skin, but we need to examine more species to be certain. However, it appears that in green tree frogs at least, infection poses a ‘damned-if-you-do, damned-if-you-don't’ scenario. If frogs try to clear the fungus by sloughing their skins, impaired water uptake across the aquaporin-deficient fresh skin makes water balance problematic, but without sloughing, the frogs succumb to direct damage from the fungus.

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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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.153
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)0.0050.001

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 head0.018
GPT teacher head0.301
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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