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Record W1818799575 · doi:10.4141/cjps2013-141

A novel nitrous oxide mitigation strategy: expressing nitrous oxide reductase from<i>Pseudomonas stutzeri</i>in transgenic plants

2014· article· en· W1818799575 on OpenAlexafffundvenue
Shen Wan, Trevor Greenham, Kagami Goto, Yaseen Mottiar, Amanda M. Johnson, Julianne M. Staebler, Mohsin Abbas Zaidi, Qingyao Shu, Illimar Altosaar

Bibliographic record

VenueCanadian Journal of Plant Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsUniversity of Ottawa
FundersUniversity of New South WalesNatural Sciences and Engineering Research Council of CanadaRockefeller Foundation
KeywordsNitrous-oxide reductaseNitrous oxidePseudomonas stutzeriDenitrificationNitrite reductaseReductaseGenetically modified cropsChemistryEnzymeNitrate reductaseBiologyBiochemistryTransgeneGeneNitrogenBacteriaEcologyGenetics

Abstract

fetched live from OpenAlex

Wan, S., Greenham, T., Goto, K., Mottiar, Y., Johnson, A. M., Staebler, J. M., Zaidi, M. A., Shu, Q. and Altosaar, I. 2014. A novel nitrous oxide mitigation strategy: expressing nitrous oxide reductase from Pseudomonas stutzeri in transgenic plants. Can. J. Plant Sci. 94: 1013–1025. As a stable greenhouse gas, nitrous oxide (N2O) plays a significant role in stratospheric ozone destruction. The primary anthropogenic N2O source is the use of nitrogen in agriculture. Currently, the annual N2O emissions from this soil–plant–microbial system is more than 2.6 Tg (1 Tg=1 million metric tonnes) of N2O-N globally. So it is important to explore some innovative and effective biology-based strategies for N2O mitigation. If shown to be effective in field trails as well as laboratory-scale experiments, such GMO plants could help guide international policies on adaptation to climate change. The bacterial enzyme nitrous oxide reductase (N2OR) is the only known enzyme capable of catalyzing the final step of the denitrification pathway, conversion of N2O to N2. To “scrub” the N2O emissions, bacterial N2OR was heterologously expressed in plants. Structurally, the enzyme N2OR is encoded by nosZ, but its biosynthesis and assembly in prokaryotes require the products of several nos genes, including a putative ABC-type transporter encoded by nosDFY, and the copper chaperone NosL for biogenesis of the metal centre. We have generated transgenic tobacco plants expressing the nosZ gene, as well as tobacco plants in which the other nos genes were co-expressed under the control of a root-specific promoter (rolD) and a constitutive promoter (d35S). The nosZ gene from Pseudomonas stutzeri heterologously expressed in tobacco produced active recombinant N2OR. The positive results in the preliminary proof-of-principle experiments indicated that plants heterologously expressing N2OR could mitigate emissions at the source before N2O reaches the stratosphere or troposphere.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.018
GPT teacher head0.205
Teacher spread0.188 · 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

Citations3
Published2014
Admission routes3
Has abstractyes

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