Response of Populus deltoides Bartr. ex Marsh genes under elevated CO2 through Next-Generation Sequencing (NGS)
Bibliographic record
Abstract
The impact of climate change has attracted considerable attention globally. Atmospheric Carbon Dioxide (CO2) is expected to increase to 900 μmol mol-1 from present level of 400 μmol mol-1 by the end of 21st century. CO2 is a greenhouse gas that leads climate change have significantly affected structure and function of the terrestrial ecosystem, global carbon, water balance, and also crop productivity. These responses of the plant appear by altering gene expression pattern of different genes involved in anabolic and catabolic processes. We have conducted a study to see the response of genes to elevated CO2 inside open top chambers on Populus deltoides. Onemonth- old ramets were exposed for 180 days to treatment (CO2 800 μmol mol-1) and control (CO2 ~400 μmol mol-1). After completion of treatment, leaf tissues were outsourced to Sci-genome for transcriptome sequencing. This study demonstrated, higher (1754) number of transcript expression in treatment (119,306) compared to control (121,060). Differential gene expression analysis shown 1951 transcripts were down regulated while 2603 transcripts up regulated and 159,982 transcripts have no significance in treatment. Our results show that plants growing in an environment where atmospheric CO2 is higher may alter plant adaptation, productivity, vegetation and ecosystem health by changing; the first, number of genes and second, altering gene expression patterns. Such behavior may be a good indicator of developing adaptation strategies of the plant.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".