Metagenomic analysis of oomycete communities from the rhizosphere of field pea on the Canadian prairies
Bibliographic record
Abstract
Oomycetes are a diverse group of microorganisms; however, little is known about their composition and biodiversity in agroecosystems. Illumina MiSeq was used to determine the type and abundance of oomycetes associated with pea root rot in the Canadian prairies. Additional objectives of the study were to identify differences in oomycete communities associated with pea root health and compare oomycete communities among the 3 prairie provinces, where field peas are commonly cultivated. Samples of soil from the rhizosphere of field pea (Pisum sativum L.) were collected from patches of asymptomatic or diseased plants from 26 commercial fields in 2013 and 2014. Oomycete communities were characterized using metagenomic analysis of the ITS1 region on Illumina MiSeq. From 105 identified operational taxonomic units (OTUs), 45 and 16 oomycete OTUs were identified at species and genus levels, respectively. Pythium was the most prevalent genus and Pythium heterothallicum the most prevalent species in all 3 provinces in both 2013 and 2014. Aphanomyces euteiches, a very important pea root rot pathogen in regions of the prairies, was detected in 57% of sites but at very low abundance (<0.2%). Multivariate analysis revealed differences in the relative abundance of species in oomycete communities between asymptomatic and diseased sites, and among years and provinces. This study demonstrated that deep amplicon sequencing can provide information on the composition and diversity of oomycete communities in agricultural 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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".