Evidence map›Paper›PMID 29502299›Full record

ArticlePlant molecular biology2018

Comprehensive transcriptome analyses correlated with untargeted metabolome reveal differentially expressed pathways in response to cell wall alterations.

Nathan T Reem, Han-Yi Chen, Manhoi Hur, Xuefeng Zhao, Eve Syrkin Wurtele, Xu Li, Ling Li, Olga Zabotina

Abstract read
PubMed Publisher
In one paragraph

Article in Plant molecular biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Transcriptome Analysis ofPlants (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Review
  7. 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

8 authors at 2 institutions in 1 country.

Nathan T ReemDepartment of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, USA.
Han-Yi ChenPlants for Human Health Institute, North Carolina State University, Kannapolis, USA.
Manhoi HurDepartment of Genetics, Developmental and Cell Biology, Iowa State University, Ames, USA.
Xuefeng ZhaoLaurence H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, USA.
Eve Syrkin WurteleDepartment of Genetics, Developmental and Cell Biology, Iowa State University, Ames, USA.
Xu LiPlants for Human Health Institute, North Carolina State University, Kannapolis, USA.
Ling LiDepartment of Genetics, Developmental and Cell Biology, Iowa State University, Ames, USA.
Olga ZabotinaDepartment of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, USA. zabotina@iastate.edu.ORCID http://orcid.org/0000-0001-6938-6923
Iowa State University · USNorth Carolina State University · US

Funding

National Institute of Food and Agriculture 015227-00005National Science Foundation 1121163
6 · The paper itself

Abstract

key messageThis research provides new insights into plant response to cell wall perturbations through correlation of transcriptome and metabolome datasets obtained from transgenic plants expressing cell wall-modifying enzymes. Plants respond to changes in their cell walls in order to protect themselves from pathogens and other stresses. Cell wall modifications in Arabidopsis thaliana have profound effects on gene expression and defense response, but the cell signaling mechanisms underlying these responses are not well understood. Three transgenic Arabidopsis lines, two with reduced cell wall acetylation (AnAXE and AnRAE) and one with reduced feruloylation (AnFAE), were used in this study to investigate the plant responses to cell wall modifications. RNA-Seq in combination with untargeted metabolome was employed to assess differential gene expression and metabolite abundance. RNA-Seq results were correlated with metabolite abundances to determine the pathways involved in response to cell wall modifications introduced in each line. The resulting pathway enrichments revealed the deacetylation events in AnAXE and AnRAE plants induced similar responses, notably, upregulation of aromatic amino acid biosynthesis and changes in regulation of primary metabolic pathways that supply substrates to specialized metabolism, particularly those related to defense responses. In contrast, genes and metabolites of lipid biosynthetic pathways and peroxidases involved in lignin polymerization were downregulated in AnFAE plants. These results elucidate how primary metabolism responds to extracellular stimuli. Combining the transcriptomics and metabolomics datasets increased the power of pathway prediction, and demonstrated the complexity of pathways involved in cell wall-mediated signaling.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantArabidopsisCell WallHydrolasesMetabolomePlants, Genetically ModifiedReproducibility of ResultsStress, PhysiologicalTranscription FactorsTranscriptomeHydrolasesTranscription FactorsArabidopsis thalianaCell wall signalingMetabolomicsSystems biologyTranscriptomics

Identifiers

PMID29502299
OpenAlexW2792287430

What OpenQuestion holds

Textmetadata
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.