Evidence map›Paper›PMID 22089972›Full record

ArticlePlant molecular biology2012

Reasons for lower transformation efficiency in indica rice using Agrobacterium tumefaciens-mediated transformation: lessons from transformation assays and genome-wide expression profiling.

Weiwei Tie, Fei Zhou, Lei Wang, Weibo Xie, Hao Chen, Xianghua Li, Yongjun Lin

Abstract read
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Article in Plant molecular biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

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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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Weiwei TieNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China.
Fei Zhou
Lei Wang
Weibo Xie
Hao Chen
Xianghua Li
Yongjun Lin
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agrobacterium tumefaciens-mediated genetic transformation has been routinely used in rice for more than a decade. However, the transformation efficiency of the indica rice variety is still unsatisfactory and much lower than that of japonica cultivars. Further improvement on the transformation efficiency lies in the genetic manipulation of the plant itself, which requires a better understanding of the underlying process accounting for the susceptibility of plant cells to Agrobacterium infection as well as the identification of plant genes involved in the transformation process. In this study, transient and stable transformation assays using different japonica and indica cultivars showed that the lower transformation efficiency in indica rice was mainly due to the low efficiency in T-DNA integration into the plant genome. Analyses of the global gene expression patterns across the transformation process in different varieties revealed major differences in the expression of genes responding to Agrobacterium within the first 6 h after infection and more differentially expressed genes were observed in the indica cultivar Zhenshan 97 (ZS), with a number of genes repressed early during infection. Microarray analysis revealed an important effect of plant defense response on Agrobacterium-mediated transformation. It has been shown that some genes which may be necessary for the transformation process were down-regulated in the indica cultivar ZS. This dataset provided a versatile resource for plant genomic research to understand the regulatory network of transformation process, and showed great promise for improving indica rice transformation using genetic manipulation of the rice genome.

Indexed as

Transformation, GeneticAgrobacterium tumefaciensDNA, BacterialGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenome, PlantHost-Pathogen InteractionsOligonucleotide Array Sequence AnalysisOryzaPlants, Genetically ModifiedRecombination, GeneticReverse Transcriptase Polymerase Chain ReactionSpecies SpecificityTissue Culture TechniquesTranscriptomeDNA, BacterialT-DNA

Identifiers

PMID22089972
OpenAlexW2044090707

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.