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Record W3047227403 · doi:10.14288/1.0391878

Characterizing the beneficial ecological association of endophytic bacteria with lodgepole pine trees naturally-regenerating at unreclaimed gravel mining pits

2020· article· en· W3047227403 on OpenAlexaboutno aff
Kiran Preet Padda

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsEcologyBiologyGeographyEnvironmental science

Abstract

fetched live from OpenAlex

Forest landscapes are commonly affected by human disturbances giving rise to degraded edaphic conditions such as poor soil structure, inadequate plant-nutrients, and in some cases like gravel mining, a complete loss of topsoil. Gravel mining has led to the prevalence of highly-disturbed sites in the central interior region of British Columbia, Canada that have very limited soil nitrogen-levels due to the presence of gravelly-substrates, lack of forest floor, and low atmospheric nitrogen-deposition. Despite such severe conditions, lodgepole pine trees are thriving at these unreclaimed gravel pits, with tissue nitrogen-contents and growth-rates seemingly unaffected by low soil nitrogen-levels, indicating that pine trees could be accessing an unknown nitrogen-source. One possibility could be biological nitrogen-fixation (BNF) by endophytic diazotrophs (nitrogen-fixing bacteria living asymptomatically within plants). Testing this possibility, 77 potential endophytic diazotrophs were isolated from internal tissues of pine trees growing at two gravel pits in this region. Of these, 32 strains showed positive nitrogenase activity in the acetylene reduction assay. Fourteen strains that consistently showed high nitrogenase activity were selected for a year-long greenhouse study to evaluate their ability to sustain pine growth under nitrogen-poor conditions. After one year, all strains colonized the internal tissues of pine and accumulated 23%-53% of the host’s foliar nitrogen via BNF as estimated through a 15N isotope-dilution assay. Furthermore, bacterial inoculation significantly enhanced pine seedling length (31%-64%) and biomass (100%-311%). The presence of the nifH gene was also confirmed in all 14 strains. In addition to BNF, most strains demonstrated considerable potential to promote plant growth via several other mechanisms including phosphate solubilization, siderophore production, ACC deaminase activity, IAA production and lytic enzyme activity. Notably, three Pseudomonas strains (AN1r, AR1r, SN1r) contributed >50% of the host’s foliar nitrogen, showed the highest activity in multiple growth-promoting assays and enhanced seedling biomass by 4-fold. These results suggest that lodgepole pine trees may be dependent on endophytic bacteria for their survival and growth, indicating a unique ecological association that may explain natural pine-regeneration on bare gravel. However, this beneficial association must be validated under field conditions to determine their future value in restoring ecosystem productivity at disturbed sites.

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 score0.996
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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 head0.160
Teacher spread0.151 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

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