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Dissolved organic matter molecular composition controls potential biodegradability

2024· article· en· W4405774597 on OpenAlexafffund
Meiling Man, Myrna J. Simpson

Bibliographic record

VenueOrganic Geochemistry · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaNuclear Waste Management Organization
KeywordsBiodegradationOrganic matterEnvironmental chemistryDissolved organic carbonComposition (language)Environmental scienceChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

• Dissolved organic matter (DOM) from peat and forest soil showed high biodegradation. • Leonardite-derived DOM yielded very low microbial adaptability and degradability. • Aromatic, carboxyl-rich alicyclic molecules were less degradable and longer-lived. • Carbohydrates and peptides sustained microbial biomass and regulated biodegradation. • DOM molecular composition-controlled biodegradation dynamics. Dissolved organic matter (DOM) is a heterogenous mixture of plant- and microbial-derived compounds at various stages of decomposition. However, there is a lack of detailed information about the biodegradability of DOM from different terrestrial sources that have varying molecular compositions. To circumvent this, incubation experiments were conducted for two months using DOM isolated from three different terrestrial sources: forest soil, peat and leonardite, all with distinct extents of diagenesis. The dissolved organic carbon (DOC), total dissolved nitrogen (TDN) contents, pH, and headspace CO 2 production were measured. DOM composition was monitored using solution-state 1 H nuclear magnetic resonance (NMR) and ultraviolet–visible (UV–VIS) analyses. To further understand microbial responses, microbial biomass and community composition was analyzed with phospholipid fatty acid (PLFA). DOM isolated from forest soil and peat demonstrated high biodegradability and decreased DOC concentrations, higher CO 2 production rates and higher microbial biomass over the course of incubation. Forest soil-derived DOM composition had decreased aliphatic, and carbohydrate and peptide components in the early and late stages, respectively. Peat-derived DOM exhibited lower carbohydrate and peptide concentrations and higher carboxyl-rich alicyclic molecules (CRAM). In contrast, CRAM and aromatic enriched leonardite-derived DOM had low CO 2 production and microbial biomass, and no major changes in DOM chemical composition, suggesting limited biodegradability. Further, CO 2 production, microbial biomass, and DOM molecular weight and degradation indices were positively correlated with carbohydrates and peptides, and inversely related to CRAM and aromatic components. Overall, these results corroborated distinct biogeochemical dynamics with varied DOM molecular composition, and highlight that DOM enriched in bio-recalcitrant components limited microbial processing, and exhibited high geochemical stability.

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 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 score0.068
Threshold uncertainty score0.996

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)0.0730.005

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 head0.002
GPT teacher head0.183
Teacher spread0.181 · 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".

Quick stats

Citations14
Published2024
Admission routes2
Has abstractyes

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