Evidence map›Paper›PMID 24993115›Full record

ArticleMolecular biology reports2014

Identification and expression analysis of salt-responsive genes using a comparative microarray approach in Salix matsudana.

Mingying Liu, Guirong Qiao, Jing Jiang, Xiaojiao Han, Jian Sang, Renying Zhuo

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Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 11 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

6 authors at 2 institutions in 1 country.

Mingying LiuState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China.
Guirong Qiao
Jing Jiang
Xiaojiao Han
Jian Sang
Renying Zhuo
Research Institute of Forestry · CNChinese Academy of Forestry · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salt stress exerts negative effects on plant growth, development and yields, with roots being the primary site of both perception and damage. Salix matsudana (Chinese willow) is tolerant of high salinity. However, genes associated with this trait were rarely characterized. Therefore, we first performed salt-stress treatment on S. matsudana plants, then identified differentially expressed genes by comparison of salt-treated roots and untreated controls using microarray analysis. A total of 403 salt-responsive genes were identified, of which 239 were repressed and 164 were up-regulated. Functional classification analysis revealed that these genes belonged to families encoding proteins involved in metabolism, regulation of transcription, signal transduction, hormone responses, abiotic stress responses, and other processes related to growth and development. This suggested that when S. matsudana was confronted with salt stress, coordinated adjustments are made to physiological and biochemical processes, which would then allow more resources to be allocated to protective mechanisms to avoid salt injury. The expression patterns of representative genes were further validated and the diversity of the temporal profiles indicated that a combination of several genes and the initiation of diverse pathways performed functions in S. matsudana salt tolerance. This work represents the first study employing microarrays to investigate salt tolerance in S. matsudana. The data presented herein enhance our understanding of the molecular mechanisms of S. matsudana responses to salinity stress and lay the groundwork for genetic engineering strategies to improve stress tolerance of agronomically important species.

Indexed as

Gene Expression Regulation, PlantGenes, PlantCluster AnalysisComputational BiologyGene Expression ProfilingMolecular Sequence AnnotationReproducibility of ResultsSalixSalt ToleranceSodium ChlorideStress, PhysiologicalSodium Chloride

Identifiers

PMID24993115
OpenAlexW2054418484

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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.