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Record W4417184626 · doi:10.1186/s40793-025-00810-6

Soil microbial adaptation to carbon deprivation: shifts in lignocellulolytic gene profiles following long-term plant exclusion

2025· article· en· W4417184626 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Microbiome · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsUniversité Laval
FundersNatural Environment Research Council
KeywordsAdaptation (eye)Carbon fibersLigninExtracellularEnzymeGeneMetabolic pathway

Abstract

fetched live from OpenAlex

BACKGROUND: Lignocellulose represents a primary input of organic carbon (C) into soils, yet the identity of specific microorganisms and genes which drive lignocellulose turnover in soils remains poorly understood. To address this knowledge gap, we used a 10-year grassland plant-exclusion experiment to investigate how reduced plant C inputs affect microbial communities and their lignocellulolytic potential using a combination of metagenomic sequencing and untargeted metabolomics. We specifically tested the hypothesis that microbial community function in bare fallow plots would transition towards microbiota with genes for recalcitrant biomass degradation (i.e., lignocellulose), when compared to grassland plots with high labile C inputs. RESULTS: Long-term plant exclusion lowered soil C and nitrogen (N) and reduced cellulose content, whilst hemicellulose and lignin were unchanged. Similarly soil microbiomes were highly distinct in long-term bare soils, along with soil extracellular enzyme profiles, though short-term plant-removal effects were less apparent. Plant exclusion resulted in a general enrichment of Firmicutes, Thaumarchaeota, Acidobacteria, Fusobacteria, and Ascomycota, with a general reduction in Actinobacteria. However, changes in bare soil lignocellulose degradation genes were more associated with discrete taxa from diverse lineages, particularly the Proteobacteria. Grouping of lignocellulose-degrading genes into broad substrate classes (cellulases, hemicellulases and lignases) revealed a possible increase in lignin degradation genes under plant exclusion confirming our hypothesis, although all other changes were at the level of the carbohydrate-active enzyme (CAZy) family. Intriguingly, untargeted metabolome profiles were highly responsive to plant exclusion, even after only one year. Bare soils were depleted in oligosaccharides and enriched in monosaccharides, fatty and carboxylic acids, supporting emerging evidence of long-term persistent C being within simple compounds. CONCLUSIONS: Together our data show that extracellular lignin degrading enzymes increase under long-term plant exclusion. There is now a need for increased focus on the microbial metabolic mechanisms which regulate the processing and persistence of enzymatically released compounds, particularly in energy limited soils.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.459

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)0.0000.000

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 head0.192
Teacher spread0.183 · 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