Evidence map›Paper›PMID 17429742›Full record

ArticlePlant molecular biology2007

A barley activation tagging system.

Michael A Ayliffe, Margaret Pallotta, Peter Langridge, Anthony J Pryor

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Article in Plant molecular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

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.

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

22 citing papers in PubMed, 72 citations in OpenAlex.

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  4. An Efficient System forPlant physiology · 2019
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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

4 authors at 3 institutions in 2 countries.

Michael A AyliffeCSIRO Plant Industry, Box 1600, Clunies Ross Drive, Canberra, ACT, 2601, Australia. michael.ayliffe@csiro.au
Margaret Pallotta
Peter Langridge
Anthony J Pryor
Commonwealth Scientific and Industrial Research Organisation · AUAustralian Centre for Plant Functional Genomics · AUGenomics (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activation tagging, as the result of random genomic insertion of either promoter or enhancer sequences, can produce novel, dominant mutations by over-expression of endogenous genes. This powerful genomics tool has been used extensively in dicot species such as Arabidopsis, while rice is the only cereal for which an equivalent system exists. In this study we describe an activation tagging system in barley based upon the maize Ac/Ds transposable element system. A modified Ds element (UbiDs) containing two maize polyubiquitin promoters, transposed in families derived from multiple independent UbiDs transformants and generated new Ds insertion events at frequencies ranging from 0% to 52% per family. The majority of transposed UbiDs elements activated high levels of adjacent flanking sequence transcription. Transposon-mediated expression was detected in all barley cell and tissue types analysed suggesting that this system is applicable to all aspects of plant development and biogenesis. In addition to transcriptional activation, this system is also capable of generating insertional knockout mutants and a UbiDs inactivated allele of the granule bound starch synthase I gene (waxy) was recovered that lead to reduced amylose accumulation. The recovery and analysis of dominant over-expression phenotypes generated by this system will provide a novel approach to understanding gene function in large cereal genomes where gene redundancy may mask conventional loss-of-function mutations.

Indexed as

MutagenesisDNA Transposable ElementsGenes, ReporterGenome, PlantGenomicsHordeumPlants, Genetically ModifiedPromoter Regions, GeneticRNA SplicingTranscription, GeneticDNA Transposable Elements

Identifiers

PMID17429742
OpenAlexW2001506048

What OpenQuestion holds

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Read underepoch 390

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.