Evidence map›Paper›PMID 36463029›Full record

ReviewCurrent opinion in plant biology2023

Leveraging yeast to characterize plant biosynthetic gene clusters.

Yinan Wu, Franklin L Gong, Sijin Li

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
  3. Cutting-edge plant natural product pathway elucidation.Current opinion in biotechnology · 2024
    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

3 authors at 1 institution in 1 country.

Yinan WuRobert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
Franklin L GongRobert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
Sijin LiRobert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA. Electronic address: sijin.li@cornell.edu.
Cornell University · US

Funding

Training future leaders at the chemistry-biology interfaceT32GM138826 · NIGMS · CORNELL UNIVERSITY · PI Jeremy Baskin · 2021 to 2026
$2.6M
Simultaneous Treatment of Viral and Bacterial Otitis Media Using Plant Natural ProductsR21DC019206 · NIDCD · CORNELL UNIVERSITY · PI LI, SIJIN · 2021 to 2023
$441k
NIDCD NIH HHS R21 DC019206NIGMS NIH HHS T32 GM138826
6 · The paper itself

Abstract

Plant biosynthetic gene clusters (BGCs) contain multiple physically clustered non-homologous genes that encode enzymes catalyzing diverse reactions in one plant natural product biosynthetic pathway. A growing number of plant BGCs have emerged as an underlying resource for understanding plant specialized metabolism and evolution, but the characterization remains challenging. Recent studies have demonstrated that baker's yeast can serve as a versatile platform for the characterization of plant BGCs, from single-gene characterization to multiple genes and hitherto unknown putative BGC validation and elucidation. In this review, we will summarize the strategies and examples of the applications of yeast in plant BGC characterization and share our perspective on the development of a systematic pipeline to fully leverage yeast to advance the understanding of plant BGCs and plant natural product biomanufacturing.

Indexed as

Biological ProductsComputational BiologyMultigene FamilySaccharomyces cerevisiaeBiological ProductsPlant biosynthetic gene clusterSynthetic biologyYeast

Identifiers

PMID36463029
PMCPMC10664738
OpenAlexW4310583294

What OpenQuestion holds

Textmetadata
LicenceTDM
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.