Evidence map›Paper›PMID 23079704›Full record

ArticleMolecular biology reports2013

Comparative transcriptome analysis of tobacco (Nicotiana tabacum) leaves to identify aroma compound-related genes expressed in different cultivated regions.

Bo Lei, Xue-Hua Zhao, Kai Zhang, Jie Zhang, Wei Ren, Zhu Ren, Yi Chen, Hui-Na Zhao, Wen-Jie Pan, Wei Chen and 4 more

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Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Bo LeiGuizhou Tobacco Research Institute, North Yuntan Road, Jinyang New District, Guiyang 550081, People's Republic of China.
Xue-Hua Zhao
Kai Zhang
Jie Zhang
Wei Ren
Zhu Ren
Yi Chen
Hui-Na Zhao
Wen-Jie Pan
Wei Chen
Hong-Xun Li
Wen-Ya Deng
Fu-Zhang Ding
Kun Lu
Tobacco Research Institute · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify genes that are differentially expressed in tobacco in response to environmental changes and to decipher the mechanisms by which aromatic carotenoids are formed in tobacco, an Agilent Tobacco Gene Expression microarray was adapted for transcriptome comparison of tobacco leaves derived from three cultivated regions of China, Kaiyang (KY), Weining (WN) and Tianzhu (TZ). A total of 1,005 genes were differentially expressed between leaves derived from KY and TZ, 733 between KY and WN, and 517 between TZ and WN. Genes that were upregulated in leaves from WN and TZ tended to be involved in secondary metabolism pathways, and included several carotenoid pathway genes, e.g., NtPYS, NtPDS, and NtLCYE, whereas those that were down-regulated tended to be involved in the response to temperature and light. The expression of 10 differentially expressed genes (DEGs) was evaluated by real-time quantitative polymerase chain reaction (qRT-PCR) and found to be consistent with the microarray data. Gene Ontology and MapMan analyses indicate that the genes that were differentially expressed among the three cultivated regions were associated with the light reaction of photosystem II, response to stimuli, and secondary metabolism. High-performance liquid chromatography (HPLC) analysis showed that leaves derived from KY had the lowest levels of lutein, β-carotene, and neoxanthin, whereas the total carotenoid content in leaves from TZ was greatest, a finding that could well be explained by the expression patterns of DEGs in the carotenoid pathway. These results may help elucidate the molecular mechanisms underlying environmental adaptation and accumulation of aroma compounds in tobacco.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantCarotenoidsCluster AnalysisLuteinMetabolic Networks and PathwaysMolecular Sequence AnnotationNicotianaPlant LeavesReproducibility of ResultsStress, PhysiologicalTranscriptomeXanthophyllsCarotenoidsLuteinneoxanthinXanthophylls

Identifiers

PMID23079704
OpenAlexW2020128128

What OpenQuestion holds

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Read underepoch 390

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.