Evidence map›Paper›PMID 28228535›Full record

ArticlePlant physiology2017

Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants.

Pascal Schläpfer, Peifen Zhang, Chuan Wang, Taehyong Kim, Michael Banf, Lee Chae, Kate Dreher, Arvind K Chavali, Ricardo Nilo-Poyanco, Thomas Bernard and 2 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 178 papers.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed
16.3field-weighted citation impact, top 1% 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

178 citing papers in PubMed, 379 citations in OpenAlex.

  1. Review
  2. Article
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  4. Review
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  6. Article
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  8. Article
  9. Identification of Stress-Induced Biosynthetic Gene Clusters in Plants.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. C11orf54 catalyzes L-xylulose formation in human metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The ins and outs of plant specialized metabolite gene organization.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Genome mining of metabolic gene clusters in the Rubiaceae family.Computational and structural biotechnology journal · 2024
    Article

118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 3 countries.

Pascal SchläpferCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.ORCID 0000-0002-0828-8681
Peifen ZhangCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.
Chuan WangCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.ORCID 0000-0001-5143-1714
Taehyong KimCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.
Michael BanfCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.
Lee ChaeCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.ORCID 0000-0001-8183-2674
Kate DreherCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.ORCID 0000-0003-4652-4398
Arvind K ChavaliCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.
Ricardo Nilo-PoyancoCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.
Thomas BernardCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.
Daniel KahnCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and.ORCID 0000-0001-8093-0854
Seung Y RheeCarnegie Institution for Science, Plant Biology Department, Stanford, California 94305 (P.S., P.Z., C.W., T.K., M.B., L.C., K.D., A.K.C., R.N.-P., S.Y.R.); and srhee@carnegiescience.edu.ORCID 0000-0002-7572-4762
Université Claude Bernard Lyon 1 · FRCarnegie Institution for Science · US

Funding

An integrated pipeline for accelerated plant natural product discoveryU01GM110699 · NIGMS · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2015 to 2019
$4.5M
NIGMS NIH HHS U01 GM110699
6 · The paper itself

Abstract

Plant metabolism underpins many traits of ecological and agronomic importance. Plants produce numerous compounds to cope with their environments but the biosynthetic pathways for most of these compounds have not yet been elucidated. To engineer and improve metabolic traits, we need comprehensive and accurate knowledge of the organization and regulation of plant metabolism at the genome scale. Here, we present a computational pipeline to identify metabolic enzymes, pathways, and gene clusters from a sequenced genome. Using this pipeline, we generated metabolic pathway databases for 22 species and identified metabolic gene clusters from 18 species. This unified resource can be used to conduct a wide array of comparative studies of plant metabolism. Using the resource, we discovered a widespread occurrence of metabolic gene clusters in plants: 11,969 clusters from 18 species. The prevalence of metabolic gene clusters offers an intriguing possibility of an untapped source for uncovering new metabolite biosynthesis pathways. For example, more than 1,700 clusters contain enzymes that could generate a specialized metabolite scaffold (signature enzymes) and enzymes that modify the scaffold (tailoring enzymes). In four species with sufficient gene expression data, we identified 43 highly coexpressed clusters that contain signature and tailoring enzymes, of which eight were characterized previously to be functional pathways. Finally, we identified patterns of genome organization that implicate local gene duplication and, to a lesser extent, single gene transposition as having played roles in the evolution of plant metabolic gene clusters.

Indexed as

Biosynthetic PathwaysComputational BiologyEvolution, MolecularGene DuplicationGene Expression Regulation, PlantGenome, PlantMetabolic Networks and PathwaysModels, GeneticMultigene FamilyPlant ProteinsPlantsSpecies SpecificityPlant Proteins

Identifiers

PMID28228535
PMCPMC5373064
OpenAlexW2589515024

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.