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Record W4392575595 · doi:10.5194/egusphere-2024-497

The 16S rDNA microbiome of the Arctic foraminifera Neogloboquadrina pachyderma is comprised of hydrocarbon-degrading bacteria and a diatom chloroplast store

2024· preprint· en· W4392575595 on OpenAlexafffund
Clare Bird, Kate F. Darling, Rabecca Thiessen, Anna J. Pieńkowski

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsMacEwan University
FundersNatural Sciences and Engineering Research Council of CanadaCarnegie Trust for the Universities of Scotland
KeywordsDiatomArcticBiologyOceanographyMicrobiomeForaminiferaPlanktonIce corePhytoplanktonEcologyGeologyBenthic zone

Abstract

fetched live from OpenAlex

Abstract. Neogloboquadrina pachyderma is the only true polar species of planktonic foraminifera. It therefore plays a crucial role in the calcite flux, and in reconstructions and modelling of seasonality and environmental change within the high latitudes. The rapidly changing environment of the polar regions of the North Atlantic and Arctic Oceans poses challenging conditions for this (sub)polar species in terms of temperature, sea-ice melt, calcite saturation, ocean pH and contraction of the polar ecosystem. To model the potential future for this important high latitude species, it is vital to investigate the modern ocean community structure throughout the annual cycle of the Arctic to understand the inter-dependencies of N. pachyderma. We use 16S rDNA metabarcoding and TEM to identify the microbial interactions of N. pachyderma during the summer ice-free conditions in Baffin Bay. We demonstrate that the N. pachyderma diet consists of diatoms and bacteria. The core microbiome is defined as the 16S rDNA amplicon sequencing variants (ASVs) found in 80 % of individuals investigated. This core microbiome consists of two diatom chloroplast ASVs and seven bacterial ASVs and accounts for, on average, 50 % of the total ASVs in any individual. The bacterial ASVs represent hydrocarbon-degrading bacteria, including those found routinely in the diatom phycosphere. On average the two chloroplast ASVs compose 40 % of the core microbiome. Significantly, an average of 55.7 % of all ASVs in any individual are of chloroplast origin. TEM highlights the importance of diatoms to this species, conclusively revealing that chloroplasts remain undigested in the foraminiferal cytoplasm in very high numbers, comparable to those observed in kleptoplastic benthic foraminifera. Diatoms are the major source of kleptoplasts in benthic foraminifera and other kleptoplastic groups, but this adaptation has never been observed in a planktonic foraminifer. Further work is required to understand the association between N. pachyderma, diatoms and their chloroplasts in the pelagic Arctic realm. It may confer an advantage to this species for survival in this extreme habitat, but it could also become compromised by the rapidly changing climate.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes2
Has abstractyes

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