Evidence map›Paper›PMID 34499285›Full record

ArticleJournal of plant research2021

Transcriptome analysis of North American sweet birch (Betula lenta) revealed a higher expression of genes involved in the biosynthesis of secondary metabolites than European silver birch (B. pendula).

Kiran Singewar, Birgit Kersten, Christian R Moschner, Eberhard Hartung, Matthias Fladung

Open access · hybridAbstract read
In one paragraph

Article in Journal of plant research, 2021. 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
0.1field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Kiran SingewarInstitute of Agricultural Process Engineering, Christian-Albrechts University of Kiel, Max-Eyth- Str. 6, 24118, Kiel, Germany.
Birgit KerstenThuenen-Institute of Forest Genetics, Sieker Landstraße 2, 22927, Grosshansdorf, Germany.
Christian R MoschnerInstitute of Agricultural Process Engineering, Christian-Albrechts University of Kiel, Max-Eyth- Str. 6, 24118, Kiel, Germany.
Eberhard HartungInstitute of Agricultural Process Engineering, Christian-Albrechts University of Kiel, Max-Eyth- Str. 6, 24118, Kiel, Germany.
Matthias FladungThuenen-Institute of Forest Genetics, Sieker Landstraße 2, 22927, Grosshansdorf, Germany. matthias.fladung@thuenen.de.ORCID http://orcid.org/0000-0001-9301-8581
Christian-Albrechts-Universität zu Kiel · DELungenClinic Grosshansdorf · DE

Funding

Energiewende und Umweltinnovationen: state program for the economy; Ministry for Energy Transition, Agriculture, Environment, Nature and Digitalization of Schleswig-Holstein, Germany LPW-L/1.2/24
6 · The paper itself

Abstract

The North American Betula lenta L. (sweet birch) has been used for medicinal reasons for centuries by native Americans. Although sophisticated technologies have rapidly been developed, a large information gap has been observed regarding genetic regulators of medicinally important compounds in sweet birch. Very little is known on the different genes involved in secondary metabolic biosynthesis in sweet birch. To gain a deeper insight into genetic factors, we performed a transcriptome analysis of each three biological samples from different independent trees of sweet and European silver birch (B. pendula Roth). This allowed us to precisely quantify the transcripts of about 24,000 expressed genes including 29 prominent candidate genes putatively involved in the biosynthesis of secondary metabolites like terpenoids, and aromatic benzoic acids. A total number of 597 genes were differentially expressed between B. lenta and B. pendula, while 264 and 210 genes showed upregulation in the bark and leaf of B. lenta, respectively. Moreover, we identified 39 transcriptional regulatory elements, involved in secondary metabolite biosynthesis, upregulated in B. lenta. Our study demonstrated the potential of RNA sequencing to identify candidate genes interacting in secondary metabolite biosynthesis in sweet birch. The candidate genes identified in this study could be subjected to genetic engineering to functionally characterize them in sweet birch. This knowledge can be beneficial to the increase of therapeutically important compounds.

Indexed as

Gene Expression Regulation, PlantBetulaGene Expression ProfilingNorth AmericaPlant LeavesSecondary MetabolismTreesSecondary metabolitesSilver birchSweet birchTranscription regulatorsTranscriptomics

Identifiers

PMID34499285
PMCPMC8514364
OpenAlexW3197489062

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.