Evidence map›Paper›PMID 36737660›Full record

ArticleScientific reports2023

De novo transcriptome assembly from the nodal root growth zone of hydrated and water-deficit stressed maize inbred line FR697.

Sidharth Sen, Shannon K King, Tyler McCubbin, Laura A Greeley, Rachel A Mertz, Cheyenne Becker, Nicole Niehues, Shuai Zeng, Jonathan T Stemmle, Scott C Peck and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
4.0field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

15 authors at 3 institutions in 1 country.

Sidharth SenInstitute for Data Science and Informatics, University of Missouri, Columbia, USA. ssz74@mail.missouri.edu.
Shannon K KingDepartment of Biochemistry, University of Missouri, Columbia, USA.
Tyler McCubbinDivision of Plant Science and Technology, University of Missouri, Columbia, USA.
Laura A GreeleyDepartment of Biochemistry, University of Missouri, Columbia, USA.
Rachel A MertzDivision of Biological Sciences, University of Missouri, Columbia, USA.
Cheyenne BeckerDivision of Plant Science and Technology, University of Missouri, Columbia, USA.
Nicole NiehuesDivision of Plant Science and Technology, University of Missouri, Columbia, USA.
Shuai ZengDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, USA.
Jonathan T StemmleSchool of Journalism, University of Missouri, Columbia, USA.
Scott C PeckDepartment of Biochemistry, University of Missouri, Columbia, USA.
Melvin J OliverDivision of Plant Science and Technology, University of Missouri, Columbia, USA.
Felix B FritschiDivision of Plant Science and Technology, University of Missouri, Columbia, USA.
David M BraunDivision of Biological Sciences, University of Missouri, Columbia, USA.
Robert E SharpDivision of Plant Science and Technology, University of Missouri, Columbia, USA.
Trupti JoshiInstitute for Data Science and Informatics, University of Missouri, Columbia, USA. joshitr@health.missouri.edu.
Plant (United States) · USUniversity of Missouri · USUniversity of Missouri Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Certain cultivars of maize show increased tolerance to water deficit conditions by maintenance of root growth. To better understand the molecular mechanisms related to this adaptation, nodal root growth zone samples were collected from the reference inbred line B73 and inbred line FR697, which exhibits a relatively greater ability to maintain root elongation under water deficits. Plants were grown under various water stress levels in both field and controlled environment settings. FR697-specific RNA-Seq datasets were generated and used for a de novo transcriptome assembly to characterize any genotype-specific genetic features. The assembly was aided by an Iso-Seq library of transcripts generated from various FR697 plant tissue samples. The Necklace pipeline was used to combine a Trinity de novo assembly along with a reference guided assembly and the Viridiplantae proteome to generate an annotated consensus "SuperTranscriptome" assembly of 47,915 transcripts with a N50 of 3152 bp in length. The results were compared by Blastn to maize reference genes, a Benchmarking Universal Single-Copy Orthologs (BUSCO) genome completeness report and compared with three maize reference genomes. The resultant 'SuperTranscriptome' was demonstrated to be of high-quality and will serve as an important reference for analysis of the maize nodal root transcriptomic response to environmental perturbations.

Indexed as

TranscriptomeZea maysGene Expression ProfilingGenomeMolecular Sequence AnnotationPlants

Identifiers

PMID36737660
PMCPMC9898524
OpenAlexW4319081307

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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.