Evidence map›Paper›PMID 35075650›Full record

ArticleThe New phytologist2022

Single-cell RNA-sequencing of Nicotiana attenuata corolla cells reveals the biosynthetic pathway of a floral scent.

Moonyoung Kang, Yuri Choi, Hyeonjin Kim, Sang-Gyu Kim

Abstract read
In one paragraph

Article in The New phytologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  6. Single-cell metabolome and RNA-seq multiplexing on single plant cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. Opportunities and challenges in the application of single-cell transcriptomics in plant tissue research.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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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

4 authors.

Moonyoung KangDepartment of Biological Sciences, Korea Advanced Institute for Science and Technology, Daejeon, 34141, Korea.ORCID 0000-0002-4630-4312
Yuri ChoiDepartment of Biological Sciences, Korea Advanced Institute for Science and Technology, Daejeon, 34141, Korea.ORCID 0000-0002-7704-4269
Hyeonjin KimDepartment of Biological Sciences, Korea Advanced Institute for Science and Technology, Daejeon, 34141, Korea.ORCID 0000-0001-9054-3874
Sang-Gyu KimDepartment of Biological Sciences, Korea Advanced Institute for Science and Technology, Daejeon, 34141, Korea.ORCID 0000-0003-2574-3233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput single-cell RNA sequencing (scRNA-Seq) identifies distinct cell populations based on cell-to-cell heterogeneity in gene expression. By examining the distribution of the density of gene expression profiles, we can observe the metabolic features of each cell population. Here, we employ the scRNA-Seq technique to reveal the entire biosynthetic pathway of a flower volatile. The corolla of the wild tobacco Nicotiana attenuata emits a bouquet of scents that are composed mainly of benzylacetone (BA). Protoplasts from the N. attenuata corolla limbs and throat cups were isolated at three different time points, and the transcript levels of > 16 000 genes were analyzed in 3756 single cells. We performed unsupervised clustering analysis to determine which cell clusters were involved in BA biosynthesis. The biosynthetic pathway of BA was uncovered by analyzing gene co-expression in scRNA-Seq datasets and by silencing candidate genes in the corolla. In conclusion, the high-resolution spatiotemporal atlas of gene expression provided by scRNA-Seq reveals the molecular features underlying cell-type-specific metabolism in a plant.

Indexed as

NicotianaOdorantsBiosynthetic PathwaysFlowersGene Expression ProfilingRNASequence Analysis, RNARNA10x genomicsbenzylacetonecorollafloral scentsNicotiana attenuatascRNA-Seq

Identifiers

PMID35075650
PMCPMC9305527

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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.