Evidence map›Paper›PMID 24672392›Full record

ArticleTheScientificWorldJournal2014

Genome-wide characterisation of gene expression in rice leaf blades at 25 °C and 30 °C.

Zhi-guo E, Lei Wang, Ryan Qin, Haihong Shen, Jianhua Zhou

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Zhi-guo EChina National Rice Research Institute, No. 359, Tiyuchang Road, Hangzhou 310006, China.
Lei WangChina National Rice Research Institute, No. 359, Tiyuchang Road, Hangzhou 310006, China.
Ryan QiniBioinfo Group, Lexington, MA 02421, USA.
Haihong ShenSchool of Life Science, Gwangju Institute of Science and Technology, Gwangju 500-712, Republic of Korea.
Jianhua ZhouNantong University, Nantong 226001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice growth is greatly affected by temperature. To examine how temperature influences gene expression in rice on a genome-wide basis, we utilised recently compiled next-generation sequencing datasets and characterised a number of RNA-sequence transcriptome samples in rice seedling leaf blades at 25 °C and 30 °C. Our analysis indicated that 50.4% of all genes in the rice genome (28,296/56,143) were expressed in rice samples grown at 25 °C, whereas slightly fewer genes (50.2%; 28,189/56,143) were expressed in rice leaf blades grown at 30 °C. Among the genes that were expressed, approximately 3% were highly expressed, whereas approximately 65% had low levels of expression. Further examination demonstrated that 821 genes had a twofold or higher increase in expression and that 553 genes had a twofold or greater decrease in expression at 25 °C. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that the ribosome pathway and multiple metabolic pathways were upregulated at 25 °C. Based on these results, we deduced that gene expression at both transcriptional and translational levels was stimulated at 25 °C, perhaps in response to a suboptimal temperature condition. Finally, we observed that temperature markedly regulates several super-families of transcription factors, including bZIP, MYB, and WRKY.

Indexed as

Gene Expression Regulation, PlantTemperatureComputational BiologyGene Expression ProfilingGenome-Wide Association StudyMolecular Sequence AnnotationOryzaPlant LeavesTranscription FactorsTranscriptomeTranscription Factors

Identifiers

PMID24672392
PMCPMC3929188

What OpenQuestion holds

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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.