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Record W1990247496 · doi:10.3354/meps08413

Relating RNA:DNA ratio in Eurytemora affinis to seston fatty acids in a highly dynamic environment

2009· article· en· W1990247496 on OpenAlexafffundabout
J. Pommier, J.-J. Frenette, Hélène Glémet

Bibliographic record

VenueMarine Ecology Progress Series · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of CanadaGroupe de recherche interuniversitaire en limnologieFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsSestonBiologyPopulationEcologyRNAZoologyNutrientGeneticsGenePhytoplankton

Abstract

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MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 400:143-154 (2010) - DOI: https://doi.org/10.3354/meps08413 Relating RNA:DNA ratio in Eurytemora affinis to seston fatty acids in a highly dynamic environment Julien Pommier, Jean-Jacques Frenette*, Hélène Glémet Groupe de Recherche sur les Écosystèmes Aquatiques (GREA), Université du Québec à Trois-Rivières (UQTR), Département de Chimie-Biologie, 3351, boul. des Forges, Trois-Rivières (QC) G9A 5H7, Canada *Corresponding author. Email: jean-jacques.frenette@uqtr.ca ABSTRACT: Nine stations were sampled across the St. Lawrence estuarine transition zone (ETZ) in summer 2006 in order to investigate the variability in Eurytemora affinis growth condition, as revealed by RNA:DNA ratios, and its relationship to the nutritional quality of seston, expressed in terms of fatty acid (FA) composition. The population of E. affinis in the St. Lawrence ETZ was under the influence of brackish waters, as well as fresh and saline waters landwards and seawards of the frontal mixing zone, respectively. The RNA:DNA ratio for E. affinis throughout the ETZ ranged from 2.14 to 23.01, with an average value of 10.30 ± 4.35. When compared with the previously reported RNA:DNA ratio for copepods under optimal growth conditions, our values suggest that the summertime population of E. affinis in the St. Lawrence ETZ was in good growth condition. The hydrodynamic imprint within the St. Lawrence ETZ translated into the distribution pattern of seston having various FA compositions. Freshwater seston was of better nutritional quality (i.e. richer in essential fatty acids) than that from brackish and more saline waters. However, this did not translate into a significantly different E. affinis RNA:DNA ratio between the 3 types of waters. Yet, the growth condition of E. affinis under the influence of fairly stable fresh waters was associated with the relative abundance of 20:5n3-rich seston advected from upstream despite the low contribution of chl a to total suspended particulate matter. Moreover, a comparison between seston and zooplankton FA composition revealed the potential trophic transfer of diatom-related FA from producers to consumers within fresh waters. No such correlations were evidenced within the most dynamic parts of the ETZ (brackish and more saline waters) where the relationship between E. affinis growth condition and seston quality was likely constrained by a spatial-temporal decoupling between seston and zooplankton. KEY WORDS: Eurytemora affinis · RNA:DNA ratio · Fatty acids · Estuarine transition zone · St. Lawrence River Full text in pdf format PreviousNextCite this article as: Pommier J, Frenette JJ, Glémet H (2010) Relating RNA:DNA ratio in Eurytemora affinis to seston fatty acids in a highly dynamic environment. Mar Ecol Prog Ser 400:143-154. https://doi.org/10.3354/meps08413 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 400. Online publication date: February 11, 2010 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2010 Inter-Research.

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 categoriesMeta-epidemiology (narrow), 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 score0.066
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.239
Teacher spread0.232 · 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

Citations17
Published2009
Admission routes3
Has abstractyes

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