Evidence map›Paper›PMID 25174417›Full record

ArticleBMC genomics2014

Transcriptomic complexity in young maize primary roots in response to low water potentials.

Nina Opitz, Anja Paschold, Caroline Marcon, Waqas Ahmed Malik, Christa Lanz, Hans-Peter Piepho, Frank Hochholdinger

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  5. Exploring the Roles of theInternational journal of molecular sciences · 2024
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  14. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
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  16. Responses ofInternational journal of molecular sciences · 2021
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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

7 authors.

Nina Opitz
Anja Paschold
Caroline Marcon
Waqas Ahmed Malik
Christa Lanz
Hans-Peter Piepho
Frank HochholdingerInstitute of Crop Science and Resource Conservation (INRES), Crop Functional Genomics, University of Bonn, 53113 Bonn, Germany. hochholdinger@uni-bonn.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWidespread and more frequently occurring drought conditions are a consequence of global warming and increase the demand for tolerant crop varieties to feed the growing world population. A better understanding of the molecular mechanisms underlying the water deficit response of crops will enable targeted breeding strategies to develop robust cultivars.

resultsIn the present study, the transcriptional response of maize (Zea mays L.) primary roots to low water potentials was monitored by RNA sequencing (RNA-Seq) experiments. After 6 h and 24 h of mild (-0.2 MPa) and severe (-0.8 MPa) water deficit conditions, the primary root transcriptomes of seedlings grown under water deficit and control conditions were compared. The number of responsive genes was dependent on and increased with intensification of water deficit treatment. After short-term mild and severe water deficit 249 and 3,000 genes were differentially expressed, respectively. After a 24 h treatment the number of affected genes increased to 7,267 and 12,838 for mild and severe water deficit, respectively, including more than 80% of the short-term responsive genes. About half of the differentially expressed genes were up-regulated and maximal fold-changes increased with treatment intensity to more than 300-fold. A consensus set of 53 genes was differentially regulated independently of the nature of deficit treatment. Characterization revealed an overrepresentation of the Gene Ontology (GO) categories "oxidoreductase activity" and "heme binding" among regulated genes connecting the water deficit response to ROS metabolism.

conclusionThis study gives a comprehensive insight in water deficit responsive genes in young maize primary roots and provides a set of candidate genes that merit further genetic analyses in the future.

Indexed as

Genes, PlantDroughtsGene Expression ProfilingGene Expression Regulation, PlantOxidoreductasesPlant RootsSequence Analysis, RNAStress, PhysiologicalZea maysOxidoreductases

Identifiers

PMID25174417
PMCPMC4174653

What OpenQuestion holds

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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.