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Record W2156170162 · doi:10.4141/p02-106

Animal anti-apoptotic genes ameliorate the loss of turgor in water-stressed transgenic tobacco

2003· article· en· W2156170162 on OpenAlexvenueno aff
Tala Awada, David D. Dunigan, Martin B. Dickman

Bibliographic record

VenueCanadian Journal of Plant Science · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
Fundersnot available
KeywordsNicotiana tabacumBiologyWater contentDrought toleranceGenetically modified cropsStomatal conductanceHorticulturePhotosynthesisGeneAgronomyBotanyTransgeneGenetics

Abstract

fetched live from OpenAlex

Nicotiana tabacum L. ‘Glurk’ plants were transformed with antiapoptotic animal genes [chicken Bcl-xl; nematode CED-9; chicken Bcl-xl(GA) a mutant of Bcl-xl ; and a 3’ non-coding region of human Bcl-2, referred to as 161-1]. Our objectives were to determine whether plant transformation with anti-apoptotic genes ameliorates drought tolerance in tobacco plants by subjecting the plants to a dry-down period. The non-transformed Glurk and the transgenic Glurk harboring G115, which expresses β-glucuronidase, served as controls. Transformation of tobacco plants with animal anti-apoptotic genes significantly impacted the rates of photosynthesis (A) and stomatal conductance (gs), but not to the same extent in every line. Controls generally exhibited higher A and gs than the transformed plants under well-watered conditions. Photosynthesis and stomatal conductance declined significantly on the 3rd day, and approached zero on the 11th day of water deprivation. Differences among controls and transformed tobacco plants disappeared as soil moisture deficit increased. Relative water content (RWC) and leaf water potential (ψw) remained relatively high in the first 3 d of water deprivation, while a dramatic reduction occurred in all plants on the 6th day. Relative water content did not differ between controls and transformed plants. Water potential declined significantly (became more negative) with the increase in soil moisture deficit. Evident differences among transformed and control plants appeared on the 6th day of water deprivation. The controls, Glurk and G115 generally maintained a higher water potential between days 6 and 11 compared to the transformed tobacco plants. Osmotic adjustment occurred in transformed plants but not in the controls, in response to drought. Relative water content at turgor loss point (RWCtlp) and osmotic potential at turgor loss point (ψπtlp) provided a measure of drought tolerance in plants. G115, Glurk and Bcl-xl plants lost turgor at a higher relative water content than Bcl-xl(GA), CED-9 and 161-1. ψπtlp in the controls G115 and Glurk were relatively higher compared to the transformed plants. We concluded that transgenic plants with anti-apoptotic genes resulted in moderate amelioration of drought tolerance in tobacco plants. Key words: Anti-apoptotic genes, programmed cell death, genetic engineering, Nicotiana tabaccum, drought tolerance, gas exchange, photosynthesis, turgor, osmotic adjustment

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.215
Teacher spread0.203 · 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 designBench or experimental
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

Citations17
Published2003
Admission routes1
Has abstractyes

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