Evidence map›Paper›PMID 37947941›Full record

ArticleJournal, genetic engineering & biotechnology2023

Comparative analysis of physiological traits and gene expression patterns in nitrogen deficiency among barley cultivars.

Zohreh Hajibarat, Abbas Saidi, Habibollah Ghazvini, Zahra Hajibarat

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

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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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Zohreh HajibaratDepartment of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Abbas SaidiDepartment of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran. abbas.saidi@gmail.com.
Habibollah GhazviniDepartment of Cearal Research, Seed and Plant Improvement Institute (SPII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Zahra HajibaratDepartment of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Shahid Beheshti University · IRAgricultural Research & Education Organization · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNitrogen is one of the most important mineral nutrients for plants and is absorbed by the root system mainly in the inorganic form (NH

methodsIn the present study, morphological and physiological traits (chlorophyll a/b, total chlorophyll, and carotenoid, antioxidant enzymes, and protein content), correlation between traits and gene expression, and principle component analysis of traits among five barley cultivars were measured in response to nitrogen deficiency (ND). The starved plants were transferred to a nutrient solution containing 0.2 mM and 2 mM NO

resultsGene expression analysis revealed that the 10 HvNRT2 genes were induced in the leaf and root tissues at 7 and 14 days after ND treatments in five barley cultivars. Expression of NRT2 genes by relative quantitative qRT-PCR analysis for 10 HvNRT2 genes were determined. Based on the gene expression, HvNRT2.1, HvNRT2.2, and HvNRT2.4 were strongly induced by NO

conclusionThe expression of HvNRT2.4 is increased during long-term nitrogen starvation, while the expression of HvNRT2.1 and HvNRT2.2 are transiently increased by ND. Based on physiological and morphological traits and molecular mechanisms, the Reyhan is considered a tolerant cultivar under ND condition.

Indexed as

BarleyNitrate transporter genesNitrogen deficiencyPhysiological traits

Identifiers

PMID37947941
PMCPMC10638351
OpenAlexW4388573933

What OpenQuestion holds

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LicenceCC BY
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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.