Evidence map›Paper›PMID 41285720›Full record

ArticleNature communications2025

Multi-omics analyses reveal regulatory networks underpinning metabolite biosynthesis in Nicotiana tabacum.

Jiaming Li, Qinggang Liao, Huina Zhou, Risheng Hu, Yangyang Li, Zhengrong Hu, Bei Yu, Pingping Liu, Qingxia Zheng, Wenxuan Pu and 14 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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
–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

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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

24 authors.

Jiaming Li *Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Advanced Synthetic Biology Institute at Hohhot, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-5847-6031
Qinggang Liao *Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Advanced Synthetic Biology Institute at Hohhot, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Huina ZhouChina Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Risheng HuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Yangyang LiChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Zhengrong HuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Bei YuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Pingping LiuChina Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Qingxia ZhengChina Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Wenxuan PuTechnology Center, China Tobacco Hunan Industrial Co., Ltd., Changsha, China.
Song ShengCentral South University of Forestry and Technology, Changsha, China.
Yongjun LiuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Shaolong WuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Tianbo LiuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Qinzhi XiaoChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Shuhui DuanChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Junping GaoTechnology Center, China Tobacco Hunan Industrial Co., Ltd., Changsha, China.
Xiaoxu LiTechnology Center, China Tobacco Hunan Industrial Co., Ltd., Changsha, China.
Shuaibin WangTechnology Center, China Tobacco Hunan Industrial Co., Ltd., Changsha, China.
Hanqian XiaoChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Zhicheng ZhouChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Zhongshan LuChina Tobacco Central South Agricultural Experimental Station, Changsha, China.
Jiashuo YangChina Tobacco Central South Agricultural Experimental Station, Changsha, China. yangjiasuo@163.com.ORCID http://orcid.org/0000-0002-5483-2588
Jianbin YanShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Advanced Synthetic Biology Institute at Hohhot, Chinese Academy of Agricultural Sciences, Shenzhen, China. jianbinlab@caas.cn.ORCID http://orcid.org/0000-0001-7934-8808

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32425011National Natural Science Foundation of China (National Science Foundation of China) 32502746
6 · The paper itself

Abstract

Tobacco is a significant industrial crop, serving as a model for plant science and a promising specie for the production of proteins and small molecules. However, system biology studies of tobacco under natural field cultivation conditions remain scarce. Here, we construct a genome-scale metabolic regulatory network through integration of dynamic transcriptomic and metabolomic profiles from field-grown tobacco leaves across two ecologically distinct regions. We map 25,984 genes and 633 metabolites into 3.17 million regulatory pairs using multi-algorithm integration. This network reveals three pivotal transcriptional hubs, including NtMYB28 (promoting hydroxycinnamic acids synthesis by modifying Nt4CL2 and NtPAL2 expression), NtERF167 (amplifying lipid synthesis via NtLACS2 activation) and NtCYC (driving aroma production through NtLOX2 induction). These transcriptional hubs achieve substantial yield improvements of target metabolites by rewiring metabolic flux. The present work provides a systems-level atlas of tobacco metabolic regulation and may help to guide metabolic engineering.

Indexed as

Gene Regulatory NetworksNicotianaGene Expression ProfilingGene Expression Regulation, PlantMetabolic EngineeringMetabolic Networks and PathwaysMetabolomeMetabolomicsMultiomicsPlant LeavesPlant ProteinsTranscriptomePlant Proteins

Identifiers

PMID41285720
PMCPMC12644487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.