Evidence map›Paper›PMID 35190651›Full record

ArticleScientific reports2022

Physiological and transcriptome analysis reveals the differences in nitrate content between lamina and midrib of flue-cured tobacco.

Yuqing Feng, Yuanyuan Zhao, Yafei Li, Jun Zhou, Yujing Li, Hongzhi Shi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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.

Yuqing FengNational Tobacco Cultivation & Physiology & Biochemistry Research Center, Tobacco Harm Reduction Research Center of China Tobacco, Henan Agricultural University, Zhengzhou, 450002, China.
Yuanyuan ZhaoNational Tobacco Cultivation & Physiology & Biochemistry Research Center, Tobacco Harm Reduction Research Center of China Tobacco, Henan Agricultural University, Zhengzhou, 450002, China.
Yafei LiNational Tobacco Cultivation & Physiology & Biochemistry Research Center, Tobacco Harm Reduction Research Center of China Tobacco, Henan Agricultural University, Zhengzhou, 450002, China.
Jun ZhouBeijing Cigarette Factory, Shanghai Tobacco Group Co., Ltd., Beijing, 100024, China.
Yujing LiNational Tobacco Cultivation & Physiology & Biochemistry Research Center, Tobacco Harm Reduction Research Center of China Tobacco, Henan Agricultural University, Zhengzhou, 450002, China.
Hongzhi ShiNational Tobacco Cultivation & Physiology & Biochemistry Research Center, Tobacco Harm Reduction Research Center of China Tobacco, Henan Agricultural University, Zhengzhou, 450002, China. shihongzhi88@163.com.
Henan Agricultural University · CNChina Tobacco · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrate is an important precursor of tobacco-specific nitrosamines (TSNAs) and a remarkable difference in nitrate accumulation between lamina and midrib of flue-cured tobacco has long been observed. However, the physiological and molecular mechanisms underpinning this difference remain poorly understood. In this study, physiological and genetic factors impacting nitrate accumulation were identified in pot experiments using flue-cured tobacco K326 with contrasting nitrate content between lamina and midrib. The results showed that three times higher NO

Indexed as

Gene Expression ProfilingNitratesPlant LeavesTobacco ProductsTranscriptomeNitrates

Identifiers

PMID35190651
PMCPMC8861034
OpenAlexW4221130068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.