Assessing differential expression of genes associated with nickel resistance in jack pine (Pinus banksiana) and eastern white pine (Pinus strobus): effects of nickel toxicity
Bibliographic record
Abstract
Eastern white pine (Pinus strobus) and jack pine (P. banksiana) represent two of the \nmajor coniferous species planted in the metal contaminated region of Northern Ontario. Studies \non coping mechanisms of these two species to soil metal contamination are limited. The main \nobjectives of the present project were to 1) determine how these two species respond to soil \nnickel (Ni) contamination and 2) assess the effects of different doses of nickel on the expression \nof six genes associated with Ni resistance. These genes include high affinity Ni transporter \nfamily (AT2G16800), 1-aminocyclopropane-1-carboxylic acid deaminase (ACC deaminase), \nNatural resistance-associated macrophage proteins (NRAMP3), and serine acetyltransferase \n(SAT), Nicotianamine synthase (NAS) and Glutathione reductase (GR). Seedlings were grown in \nsoils treated with increasing concentrations of Ni(NO3)2. Potassium nitrate (KNO3) was used to \ncontrol for potential toxicity of nitrate ions. Gene expression was assessed using RT-qPCR. \nDamage ratings reveal that P. banksiana is sensitive to Ni(NO3)2 doses of 1,600 and 3,200 mg/kg \nas well as 3,200 mg/kg KNO3. However, P. strobus was tolerant to all treatment. Soil Ni \ntreatments induced a downregulation of NAS in P. strobus as well as AT2G16800 and NRAMP3 \nin both species with the severity increasing at high doses of Ni. An upregulation of ACC in both \nspecies consistent with an inverted-U hormetic effect was observed. Ni also triggered a hormetic \nU-effect downregulation of SAT in P. strobus with the lowest dose showing the highest \nrepression. An opposite trend was observed in P. banksiana where Ni induced an upregulation of \nSAT. Moreover, GR induced an inverted-U hormetic upregulation in P. banksiana. Knowing the \ncoping mechanisms of these conifers to metal contamination is essential for ensuring their longterm sustainability.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".