Evidence map›Paper›PMID 32059640›Full record

ArticleBMC genomics2020

Transcriptome profiles of Quercus rubra responding to increased O

Nourolah Soltani, Teo Best, Dantria Grace, Christen Nelms, Ketia Shumaker, Jeanne Romero-Severson, Daniela Moses, Stephan Schuster, Margaret Staton, John Carlson and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Differential expression of microRNAs in response toFrontiers in plant science · 2024
    Article
  3. Article
  4. Article
  5. Multiomics Molecular Research into the Recalcitrant and OrphanInternational journal of molecular sciences · 2022
    Review
  6. 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

11 authors.

Nourolah SoltaniThe Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, 37996, USA.
Teo BestThe Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA, 16802, USA.
Dantria GraceDepartment of Biological & Environmental Sciences, University of West Alabama, Livingston, AL, 35470, USA.
Christen NelmsDepartment of Biological & Environmental Sciences, University of West Alabama, Livingston, AL, 35470, USA.
Ketia ShumakerDepartment of Biological & Environmental Sciences, University of West Alabama, Livingston, AL, 35470, USA.
Jeanne Romero-SeversonDepartment of Biological Sciences, Notre Dame University, 46556, Notre Dame, IN, France.
Daniela MosesSingapore Centre for Environmental Life Sciences Engineering (SCELSE) Nanyang Technological University, Nanyang Avenue, 637551, Singapore.
Stephan SchusterSingapore Centre for Environmental Life Sciences Engineering (SCELSE) Nanyang Technological University, Nanyang Avenue, 637551, Singapore.
Margaret StatonThe Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, 37996, USA. mstaton1@utk.edu.ORCID http://orcid.org/0000-0003-2971-9353
John CarlsonThe Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA, 16802, USA. jec16@psu.edu.
Kimberly GwinnThe Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, 37996, USA. kgwinn@utk.edu.

Funding

National Institute of Food and Agriculture PEN04532 1000326National Science Foundation PGRP-OIS-1025974
6 · The paper itself

Abstract

backgroundClimate plays an essential role in forest health, and climate change may increase forest productivity losses due to abiotic and biotic stress. Increased temperature leads to the increased formation of ozone (O

resultsRNA sequencing yielded more than 323 million high-quality raw sequence reads. De novo assembly generated 52,662 unigenes, of which more than 42,000 sequences could be annotated through homology-based searches. A total of 4140 differential expressed genes (DEGs) were detected in response to O

conclusionThis study provides the first reference transcriptome for NRO and initial insights into the genomic responses of NRO to O

Indexed as

Gene Expression ProfilingStress, PhysiologicalTranscriptomeBiosynthetic PathwaysComputational BiologyGene Expression Regulation, PlantGene OntologyHost-Pathogen InteractionsMolecular Sequence AnnotationOzoneQuercusSignal TransductionOzoneMethylerythritol phosphateMevalonic acidNorthern red oakPlant-pathogen interactionsTerpenoidTranscriptome

Identifiers

PMID32059640
PMCPMC7023784

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.