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Record W4226436895 · doi:10.25633/etn.2021.12.06

GENERATION OF TRANSGENIC WHEAT PLANTS RESISTANT TO SALINITY

2021· article· ru· W4226436895 on OpenAlexaboutno aff
А.А. Вербицкая, А.С. Иванова, О.А. Щуклина, А.К. Гапоненко

Bibliographic record

VenueЕстественные и технические науки · 2021
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyGenetically modified cropsTransgeneSalinitySoil salinityGeneTransformation (genetics)Ectopic expressionAgronomyBiotechnologyBotanyHorticultureGenetics

Abstract

fetched live from OpenAlex

Почвенное засоление – один из основных процессов деградации сельскохозяйственных земель. В суровых климатических условиях произрастания многих продовольственных культур необходимо внедрять сорта нового поколения, сорта, созданные методами биотехнологии. Такие сорта уже возделываются в таких биотехнологических странах, как Австралия, США, Канада и с недавнего времени в Аргентине. В настоящее время доказано, что генетические механизмы солеустойчивости определяются десятками генов и факторами транскрипции, работа которых важна для реакций растений на солевой стресс. В своей работе мы использовали ген транскрипционного фактора osgata риса, эктопическая экспрессия которого инициируется избыточным засолением и дефицитом воды. Мы показали, что ген транскрипционного фактора osgata в трансгенной пшенице обеспечивает улучшенную устойчивость к соленому стрессу и показатели роста. Трансгенные растения пшеницы получали путем биобаллистической генетической трансформации конструкцией, несущей полноразмерную копию гена osgata под злакоспецифичным Act1 промотором и селективный ген bar. ПЦР-анализ трансгенных растений Т0 и Т1 подтвердил интеграцию osgata в геном пшеницы. Стабильную экспрессию osgata в геноме пшеницы дополнительно подтверждали полуколичественным анализом ОТ-ПЦР. По сравнению с нетрансформированными растениями, трансгенные растения, экспрессирующие osgata, продемонстрировали лучшие показатели роста и улучшенную защиту от повреждения клеток при солевом стрессе. Soil salinization is one of the main processes of agricultural land degradation. In the harsh climatic conditions of the growth of many food crops, it is necessary to introduce new generation varieties, varieties created by biotechnology methods. Such varieties are already being cultivated in biotech countries such as Australia, the USA, Canada, and more recently in Argentina. It has now been proven that the genetic mechanisms of salt tolerance are determined by dozens of genes and transcription factors, essential for plant responses to salt stress. In our work, we used the rice osgata transcription factor gene, the ectopic expression initiated by excessive salinity and water deficit. We have shown that the osgata transcription factor gene in transgenic wheat provides improved salt stress tolerance and growth performance. Transgenic wheat plants were obtained by bioballistic genetic transformation with a construct carrying a full-length copy of the osgata gene under the cereal-specific Act1 promoter and a selective bar gene. PCR analysis of transgenic T0 and T1 plants confirmed the integration of osgata into the wheat genome. Stable osgata expression in the wheat genome was additionally confirmed by semi-quantitative RT-PCR analysis. Transgenic plants expressing osgata showed better growth performance and improved protection against cell damage under salt stress compared to nontransformed plants.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.083
GPT teacher head0.255
Teacher spread0.172 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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