Evidence map›Paper›PMID 31435821›Full record

ArticleTransgenic research2019

Development of a Gateway-compatible two-component expression vector system for plants.

Ning Li, Deyi Yuan, Li-Jun Huang

Abstract read
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In one paragraph

Article in Transgenic research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ning LiKey Laboratory of Cultivation and Protection for Non-Wood Forest Trees (Central South University of Forestry and Technology), Ministry of Education, Changsha, 410004, Hunan, China.
Deyi YuanKey Laboratory of Cultivation and Protection for Non-Wood Forest Trees (Central South University of Forestry and Technology), Ministry of Education, Changsha, 410004, Hunan, China.
Li-Jun HuangKey Laboratory of Cultivation and Protection for Non-Wood Forest Trees (Central South University of Forestry and Technology), Ministry of Education, Changsha, 410004, Hunan, China. nghua@126.com.ORCID 0000-0001-8072-5180

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic transformation of plants offers the possibility of functional characterization of individual genes and the improvement of plant traits. Development of novel transformation vectors is essential to improve plant genetic transformation technologies for various applications. Here, we present the development of a Gateway-compatible two-component expression vector system for Agrobacterium-mediated plant transformation. The expression system contains two independent plasmid vector sets, the activator vector and the reporter vector, based on the concept of the GAL4/UAS trans-activation system. The activator vector expresses a modified GAL4 protein (GAL4-VP16) under the control of specific promoter. The GAL4-VP16 protein targets the UAS in the reporter vector and subsequently activates reporter gene expression. Both the activator and reporter vectors contain the Gateway recombination cassette, which can be rapidly and efficiently replaced by any specific promoter and reporter gene of interest, to facilitate gene cloning procedures. The efficiency of the activator-reporter expression system has been assessed using agroinfiltration mediated transient expression assay in Nicotiana benthamiana and stable transgenic expression in Arabidopsis thaliana. The reporter genes were highly expressed with precise tissue-specific and subcellular localization. This Gateway-compatible two-component expression vector system will be a useful tool for advancing plant gene engineering.

Indexed as

AgrobacteriumArabidopsisGene Expression Regulation, PlantGenetic VectorsNicotianaPlants, Genetically ModifiedPlasmidsPromoter Regions, GeneticTrans-ActivatorsTransformation, GeneticGal-VP16Trans-ActivatorsAgro-infiltrationBinary vectorGAL4-VP16/UASTissue-specific expressionTransgenic plant

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.