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Record W7048243772

Isolation, Characterization & Identification of Cultivable Field Pea Seed Bacteria in South Dakota

2025· article· en· W7048243772 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOpen PRAIRIE (South Dakota State University) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsEpiphyteField peaMicrobial inoculantSeedlingPantoeaGammaproteobacteria16S ribosomal RNAMethylobacteriumPantoea agglomeransBacteria
DOInot available

Abstract

fetched live from OpenAlex

Pea (Pisum sativum L.) is a legume, cultivated on over 25 million acres, particularly in Canada, France, China, Russia, and the United States. Its seeds harbor microbiota including bacteria and fungi, either on the surface (epiphytes) or within seed tissues (endophytes). These microbes can be pathogenic or beneficial, enhancing seedling metabolism and protection from environmental stresses. Characterizing beneficial seed microbiota enables development of microbial inoculants for seed treatment. Seeds from 12 varieties (green or yellow seed coats) were harvested from Sturgis and Dakota Lakes in 2021. Epiphytes were extracted using sonication followed by grinding the seeds to obtain endophytes. Isolates were grown on TSA and R2A media, yielding 221 epiphytes and 129 endophytes, distinguished by colony characteristics. Epiphytes were typically slimy, endophytes, sticky or brittle. Student t-test indicated that field pea variety significantly influenced (p < 0.05) the diversity of both epiphytes and endophytes across the two sites. Factorial ANOVA revealed green-seeded varieties had more endophytes, while yellow-seeded ones had more epiphytes. R2A yielded significantly more isolates than TSA (p < 0.05), emphasizing the influence of plant variety, site, and media on microbiota structure. Isolates were evaluated for IAA production; Of those, 43 isolates (31 epiphytes and 12 endophytes) exhibiting high IAA production (≥ 10 µg/mL/hr) were screened for plant growth-promoting traits. These included 22 Gram-positive and 21 Gram-negative bacteria. DNA extraction and 16S rRNA sequencing identified the 43 isolates with Bacillus (42%), Pantoea (14%), and Acinetobacter (9%) as predominant genera. Key findings included high auxin production by isolates Ep 218 (Stenotrophomonas, ~24 µg/mL/hr) and En 1067 (Bacillus, ~26.09 µg/mL/hr); phosphate solubilization indices of 4.2 (Ep 120, Pseudomonas) and 4.3 (En 1063, Acinetobacter); siderophore units of 71% (En 1066, Acinetobacter) and 69% (Ep 130, Bacillus); and notable colony size growth in nitrogen-free media by Ep 173 (Pantoea, 1.66 mm diameter) and En 1025 (Acinetobacter, 1.5 mm). Out of the 43, fifteen isolates (11 epiphytes and 4 endophytes) identified in this study, representatives from Acinetobacter, Bacillus, Paenibacillus, Stenotrophomonas, and Pantoea demonstrated positive results across all four assays, highlighting their potential as bio-stimulants and biofertilizers to enhance seed germination and seedling health.

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 categoriesInsufficient 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 score0.191
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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