Evidence map›Paper›PMID 23212618›Full record

ArticleMolecular biology reports2013

Identification of early response genes to salt stress in roots of melon (Cucumis melo L.) seedlings.

Shiwei Wei, Linmin Wang, Yidong Zhang, Danfeng Huang

Abstract read
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In one paragraph

Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-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

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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  6. Characterization, Expression Profiling, and Biochemical Analyses of theInternational journal of molecular sciences · 2022
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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

4 authors at 1 institution in 1 country.

Shiwei WeiDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, People's Republic of China.
Linmin Wang
Yidong Zhang
Danfeng Huang
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to better understand the mechanisms by which muskmelons (Cucumis melo L.) respond to salt stress, a cDNA library was constructed using suppression subtractive hybridization (SSH) from the root tissue of a salt-tolerant melon cultivar, Bingxuecui. A total of 339 clones were sequenced from the SSH library, leading to 312 high quality expressed sequence tags (ESTs), with an average size of 450 bp; representing 262 uni-ESTs comprising 29 contigs and 233 singletons. Blast analysis of the deduced protein sequences revealed that 283 ESTs had a high similarity to proteins in the non-redundant database, while 29 had low identity or no similarities. Many of the annotated sequences were homologous to genes involved in abiotic or biotic stress in plants. Functional categorization of the proteins revealed that salt tolerance could be largely determined by various proteins involved in metabolism, energy, transcription, signal transduction, protein fate, cell rescue and defense, implying a complex response to salt stress exists in melon plants. Twenty-seven ESTs were selected and analyzed by real-time PCR; the results confirmed that a high proportion of the ESTs were activated by salt stress. The complete sequences and a detailed functional analysis of these ESTs is required, in order to fully understand the broader impact of these genes in plants subjected to a high salinity environment.

Indexed as

Salt-Tolerant PlantsCucurbitaceaeExpressed Sequence TagsGene Expression Regulation, PlantGene LibraryPlant RootsSalinityStress, Physiological

Identifiers

PMID23212618
OpenAlexW1982994927

What OpenQuestion holds

Textmetadata
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.