Evidence map›Paper›PMID 34129077›Full record

ArticlePlant cell reports2021

Comparative transcriptome analysis provides insights into steviol glycoside synthesis in stevia (Stevia rebaudiana Bertoni) leaves under nitrogen deficiency.

Yuming Sun, Xiaoyang Xu, Ting Zhang, Yongheng Yang, Haiying Tong, Haiyan Yuan

Abstract read
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In one paragraph

Article in Plant cell reports, 2021. 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
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 21 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

6 authors at 2 institutions in 1 country.

Yuming SunJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, No. 1 Qianhuhoucun Village, Zhongshan Gate, Nanjing, 210014, China.ORCID http://orcid.org/0000-0001-9240-4632
Xiaoyang XuJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, No. 1 Qianhuhoucun Village, Zhongshan Gate, Nanjing, 210014, China.
Ting ZhangJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, No. 1 Qianhuhoucun Village, Zhongshan Gate, Nanjing, 210014, China.
Yongheng YangJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, No. 1 Qianhuhoucun Village, Zhongshan Gate, Nanjing, 210014, China.
Haiying TongJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, No. 1 Qianhuhoucun Village, Zhongshan Gate, Nanjing, 210014, China.
Haiyan YuanJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, No. 1 Qianhuhoucun Village, Zhongshan Gate, Nanjing, 210014, China. yuanhaiyan@cnbg.net.
Chinese Academy of Sciences · CNNanjing Agricultural University · CN

Funding

Jiangsu Key Laboratory for the Research and Utilization of Plant Resources JSPKLB201810National Natural Science Foundation of China 31901597Natural Science Foundation of Jiangsu Province BK20180312
6 · The paper itself

Abstract

key messageTranscriptome analysis revealed the potential mechanism of nitrogen regulating steviol glycosides synthesis via shifting of leaf carbon metabolic flux or inducing certain transcription factors. Nitrogen (N) plays key regulatory roles in both stevia (Stevia rebaudiana) growth and the synthesis of its functional metabolite steviol glycosides (SGs), but the mechanism by which this nutrient regulates SGs synthesis remains to be elucidated. To address this question, a pot experiment was performed in a greenhouse where stevia plants fertilized with N (the control as CK plants) and compared with plants without the supply of N. Physiological and biochemical analyses were conducted to test the growth and metabolic responses of plants to N regimes. Our results showed that N deficiency significantly inhibited plant growth and leaf photosynthesis, while increased leaf SGs contents in stevia (49.97, 46.64 and 84.80% respectively for rebaudioside A, stevioside, and rebaudioside C), which may be partly due to "concentration effect". Then, transcriptome analysis was conducted to understand the underlying mechanisms. A total of 535 differentially expressed genes were identified, and carbon metabolism-related events were highlighted by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Many of these genes were significantly upregulated by N-deficiency, including those involved in "phenylpropanoid biosynthesis", "flavonoid biosynthesis" and "starch and sucrose metabolism". Our study also analyzed the expression patterns of SGs synthesis-related genes under two N regimes and the potential transcription factors linking N nutrition and SG metabolism. N-deficiency may promote SGs synthesis by changing the carbon metabolism flux or inducing certain transcription factors. Our results provide deeper insight into the relationship between N nutrition and SGs synthesis in stevia plants.

Indexed as

CarbonDiterpenes, KauraneGene Expression ProfilingGene Expression Regulation, PlantGlucosidesGlycosidesNitrogenOligosaccharidesPlant LeavesPlant ProteinsReproducibility of ResultsSteviaTranscription FactorsCarbonDiterpenes, KauraneGlucosidesGlycosidesNitrogenOligosaccharidesPlant Proteinsrebaudioside CsteviolsteviosideTranscription FactorsCarbon metabolismNitrogenStevia rebaudianaTranscription factorsTranscriptome

Identifiers

PMID34129077
OpenAlexW3169009266

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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.