Evidence map›Paper›PMID 31414203›Full record

ArticlePlanta2019

Characterization and evolution of gene clusters for terpenoid phytoalexin biosynthesis in tobacco.

Xi Chen, Fangjie Liu, Lu Liu, Jie Qiu, Dunhuang Fang, Weidi Wang, Xingcheng Zhang, Chuyu Ye, Michael Paul Timko, Qian-Hao Zhu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Genome mining of metabolic gene clusters in the Rubiaceae family.Computational and structural biotechnology journal · 2024
    Article
  4. Review
  5. Article
  6. Differential gene expression in leaves and roots ofFrontiers in plant science · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
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

12 authors at 5 institutions in 3 countries.

Xi Chen *Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.ORCID http://orcid.org/0000-0001-5947-3046
Fangjie Liu *Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.ORCID http://orcid.org/0000-0001-5117-3786
Lu LiuInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Jie QiuInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Dunhuang FangKey Laboratory of Tobacco Biotechnological Breeding, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, 650021, China.
Weidi WangInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Xingcheng ZhangInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Chuyu YeInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Michael Paul TimkoDepartment of Biology, University of Virginia, Charlottesville, VA, 22904, USA.
Qian-Hao ZhuCSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT, 2601, Australia.
Longjiang FanInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Bingguang XiaoKey Laboratory of Tobacco Biotechnological Breeding, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, 650021, China. xiaobgsubmission@126.com.ORCID http://orcid.org/0000-0003-4823-727X
Zhejiang University · CNCommonwealth Scientific and Industrial Research Organisation · AUTobacco Research Institute · CNUniversity of Virginia · USYunnan Academy of Agricultural Sciences · CN

Funding

111 Project B17039Fundamental Research Funds for the Central Universities of China 2017QNA6013National Natural Science Foundation of China 31860411
6 · The paper itself

Abstract

MAIN

conclusionThe study performed genome-wide identification, characterization and evolution analysis of gene clusters for phytoalexin terpenoid biosynthesis in tobacco, and specifically illustrated ones for capsidiol, an efficient defensive specialized metabolite. Terpenoid phytoalexins play an important role in plant self-defense against pest and pathogen attack. Terpenoid biosynthesis involves terpene synthase and cytochrome P450, which always locate and function as cluster(s). In this study, we performed genome-wide investigation of metabolic gene clusters involved in terpenoid production in tobacco (Nicotiana tabacum). Due to the complexity of the tobacco genome, we modified a published prediction pipeline to reduce the influence of the large number of repeats and to improve the annotation of tobacco genes with respect to their metabolic functions. We identified 1181 metabolic gene clusters with 34 of them potentially being involved in terpenoid biosynthesis. Through integration with transcriptome and metabolic pathway annotation analyses, 3 of the 34 terpenoid biosynthesis-related gene clusters were determined to be high-confidence ones, with 2 involved in biosynthesis of capsidiol, a terpenoid recognized as 1 of the effective resistance compounds in the Nicotiana species. The capsidiol-related gene cluster was conserved in N. sylvestris, N. tomentosiformis and N. attenuate. Our findings demonstrate that phytoalexins in tobacco can arise from operon-like gene clusters, a genomic pattern characterized as being beneficial for rapid stress response, gene co-regulation, co-function and co-heredity.

Indexed as

Gene Expression Regulation, PlantTranscriptomeAlkyl and Aryl TransferasesMultigene FamilyNicotianaPhytoalexinsPlant ProteinsSesquiterpenesTerpenesAlkyl and Aryl TransferasescapsidiolPhytoalexinsPlant ProteinsSesquiterpenesTerpenesterpene synthaseCapsidiolCytochrome P450Genome-wide identificationNicotiana tabacumTerpene synthaseTranscriptome

Identifiers

PMID31414203
OpenAlexW2968999563

What OpenQuestion holds

Textmetadata
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.