Evidence map›Paper›PMID 36266299›Full record

ArticleScientific reports2022

De novo transcriptome assembly of Conium maculatum L. to identify candidate genes for coniine biosynthesis.

Gopal Peddinti, Hannu Hotti, Teemu H Teeri, Heiko Rischer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Gopal Peddinti *VTT Technical Research Centre of Finland Ltd, Tietotie 2, VTT, P.O. Box 1000, 02044, Espoo, Finland.
Hannu Hotti *VTT Technical Research Centre of Finland Ltd, Tietotie 2, VTT, P.O. Box 1000, 02044, Espoo, Finland.
Teemu H TeeriViikki Plant Science Centre, Department of Agricultural Sciences, University of Helsinki, PO Box 27, 00014, Helsinki, Finland.
Heiko RischerVTT Technical Research Centre of Finland Ltd, Tietotie 2, VTT, P.O. Box 1000, 02044, Espoo, Finland. heiko.rischer@vtt.fi.
Tieto (Finland) · FIUniversity of Helsinki · FIVTT Technical Research Centre of Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poison hemlock (Conium maculatum L.) is a notorious weed containing the potent alkaloid coniine. Only some of the enzymes in the coniine biosynthesis have so far been characterized. Here, we utilize the next-generation RNA sequencing approach to report the first-ever transcriptome sequencing of five organs of poison hemlock: developing fruit, flower, root, leaf, and stem. Using a de novo assembly approach, we derived a transcriptome assembly containing 123,240 transcripts. The assembly is deemed high quality, representing over 88% of the near-universal ortholog genes of the Eudicots clade. Nearly 80% of the transcripts were functionally annotated using a combination of three approaches. The current study focuses on describing the coniine pathway by identifying in silico transcript candidates for polyketide reductase, L-alanine:5-keto-octanal aminotransferase, γ-coniceine reductase, and S-adenosyl-L-methionine:coniine methyltransferase. In vitro testing will be needed to confirm the assigned functions of the selected candidates.

Indexed as

AlkaloidsConiumAlanineMethyltransferasesOxidoreductasesPiperidinesS-AdenosylmethionineTransaminasesTranscriptomeAlanineAlkaloidsconiineMethyltransferasesOxidoreductasesPiperidinesS-AdenosylmethionineTransaminases

Identifiers

PMID36266299
PMCPMC9584964
OpenAlexW4306882863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.