Evidence map›Paper›PMID 22648613›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012

Characterization, fine mapping and expression profiling of Ragged leaves1 in maize.

Haiying Guan, Chaoxian Liu, Yuanzeng Zhao, Biao Zeng, Hainan Zhao, Yi Jiang, Weibin Song, Jinsheng Lai

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Haiying GuanDepartment of Plant Genetics and Breeding, State Key Laboratory of Agrobiotechnology and National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China.
Chaoxian Liu
Yuanzeng Zhao
Biao Zeng
Hainan Zhao
Yi Jiang
Weibin Song
Jinsheng Lai
China Agricultural University · CNHenan Institute of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ragged leaves1 (Rg1) maize mutant frequently develops lesions on leaves, leaf sheaths, and ear bracts. Lesion formation is independent of biotic stress. High-level accumulation of H(2)O(2) revealed by staining Rg1 leaves, with 3',3'-diaminobenzidine and trypan blue, suggested that lesion formation appeared to be due to cell death. Rg1 was initially mapped to an interval around 70.5 Mb in bin 3.04 on the short arm of chromosome 3. Utilizing 15 newly developed markers, Rg1 was delimitated to an interval around 17 kb using 16,356 individuals of a BC1 segregating population. There was only one gene, rp3, predicted in this region according to the B73 genome. Analysis of transcriptome data revealed that 441 genes significantly up-regulated in Rg1 leaves were functionally over-represented. Among those genes, several were involved in the production of reactive oxygen species (ROS). Our results suggested that lesions of Rg1 maize arose probably due to an aberrant rust resistance allele of Rp3, which elicited the accumulation of ROS independent of biotic stress.

Indexed as

Chromosome MappingGenes, PlantAllelesBasidiomycotaDNA, PlantGene Expression ProfilingGenetic MarkersHydrogen PeroxideMicroscopy, Electron, ScanningPhenotypePlant DiseasesPlant LeavesReactive Oxygen SpeciesSequence AnalysisTranscriptomeUp-RegulationDNA, PlantGenetic MarkersHydrogen PeroxideReactive Oxygen Species

Identifiers

PMID22648613
OpenAlexW2005918771

What OpenQuestion holds

Textmetadata
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.