Evidence map›Paper›PMID 27188293›Full record

ArticleBMC plant biology2016

Genetic manipulation of putrescine biosynthesis reprograms the cellular transcriptome and the metabolome.

Andrew F Page, Leland J Cseke, Rakesh Minocha, Swathi A Turlapati, Gopi K Podila, Alexander Ulanov, Zhong Li, Subhash C Minocha

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 34 citations in OpenAlex.

  1. LeafamineInternational journal of molecular sciences · 2022
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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

8 authors at 4 institutions in 1 country.

Andrew F PageDepartment of Biological Sciences, University of New Hampshire, Durham, NH, 03824, USA.
Leland J CsekeDepartment of Biological Sciences, University of Alabama in Huntsville, Huntsville, AL, 35899, USA.
Rakesh MinochaUSDA Forest Service, Northern Research Station, Durham, NH, 03824, USA.
Swathi A TurlapatiDepartment of Biological Sciences, University of New Hampshire, Durham, NH, 03824, USA.
Gopi K PodilaDepartment of Biological Sciences, University of Alabama in Huntsville, Huntsville, AL, 35899, USA.
Alexander UlanovMetabolomics Center, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Champaign, IL, 61801, USA.
Zhong LiMetabolomics Center, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Champaign, IL, 61801, USA.
Subhash C MinochaDepartment of Biological Sciences, University of New Hampshire, Durham, NH, 03824, USA. sminocha@unh.edu.
University of New Hampshire · USUniversity of Alabama in Huntsville · USUniversity of Illinois Urbana-Champaign · USNorthern Research Station · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the increasing interest in metabolic engineering of plants using genetic manipulation and gene editing technologies to enhance growth, nutritional value and environmental adaptation, a major concern is the potential of undesirable broad and distant effects of manipulating the target gene or metabolic step in the resulting plant. A comprehensive transcriptomic and metabolomic analysis of the product may shed some useful light in this regard. The present study used these two techniques with plant cell cultures to analyze the effects of genetic manipulation of a single step in the biosynthesis of polyamines because of their well-known roles in plant growth, development and stress responses.

resultsThe transcriptomes and metabolomes of a control and a high putrescine (HP) producing cell line of poplar (Populus nigra x maximowiczii) were compared using microarrays and GC/MS. The HP cells expressed an ornithine decarboxylase transgene and accumulated several-fold higher concentrations of putrescine, with only small changes in spermidine and spermine. The results show that up-regulation of a single step in the polyamine biosynthetic pathway (i.e. ornithine → putrescine) altered the expression of a broad spectrum of genes; many of which were involved in transcription, translation, membrane transport, osmoregulation, shock/stress/wounding, and cell wall metabolism. More than half of the 200 detected metabolites were significantly altered (p ≤ 0.05) in the HP cells irrespective of sampling date. The most noteworthy differences were in organic acids, carbohydrates and nitrogen-containing metabolites.

conclusionsThe results provide valuable information about the role of polyamines in regulating nitrogen and carbon use pathways in cell cultures of high putrescine producing transgenic cells of poplar vs. their low putrescine counterparts. The results underscore the complexity of cellular responses to genetic perturbation of a single metabolic step related to nitrogen metabolism in plants. Combined with recent studies from our lab, where we showed that higher putrescine production caused an increased flux of glutamate into ornithine concurrent with enhancement in glutamate production via additional nitrogen and carbon assimilation, the results from this study provide guidance in designing transgenic plants with increased nitrogen use efficiency, especially in plants intended for non-food/feed applications (e.g. increased biomass production for biofuels).

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomeOrnithine DecarboxylasePolyaminesPopulusPutrescineSpermidineSpermineTranscriptomeOrnithine DecarboxylasePolyaminesPutrescineSpermidineSpermineGenetic manipulationMetabolomeMicroarraysOrnithine decarboxylasePolyaminesPopulusTranscriptome

Identifiers

PMID27188293
PMCPMC4870780
OpenAlexW2406117497

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LicenceCC BY
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Registered trials

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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.