Evidence map›Paper›PMID 22127759›Full record

ArticleBiotechnology letters2012

Overexpression of alfalfa mitochondrial HSP23 in prokaryotic and eukaryotic model systems confers enhanced tolerance to salinity and arsenic stress.

Ki-Won Lee, Joon-Yung Cha, Kyung-Hee Kim, Yong-Goo Kim, Byung-Hyun Lee, Sang-Hoon Lee

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 41 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.

Ki-Won LeeGrassland and Forages Division, National Institute of Animal Science, Rural Development Administration, Cheonan, 330-801, Korea.
Joon-Yung Cha
Kyung-Hee Kim
Yong-Goo Kim
Byung-Hyun Lee
Sang-Hoon Lee
Gyeongsang National University · KRNational Institute of Animal Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cloning and characterization of a gene (MsHSP23) coding for a heat shock protein in alfalfa in a prokaryotic and model plant system is described. MsHSP23 contains a 633 bp ORF encoding a polypeptide of 213 amino acids and exhibits greater sequence similarity to mitochondrial sHSPs from dicotyledons than to those from monocotyledons. When expressed in bacteria, recombinant MsHSP23 conferred tolerance to salinity and arsenic stress. Furthermore, MsHSP23 was cloned in a plant expressing vector and transformed into tobacco, a eukaryotic model organism. The transgenic plants exhibited enhanced tolerance to salinity and arsenic stress under ex vitro conditions. In comparison to wild type plants, the transgenic plants exhibited significantly lower electrolyte leakage. Moreover, the transgenic plants had superior germination rates when placed on medium containing arsenic. Taken together, these overexpression results imply that MsHSP23 plays an important role in salinity and arsenic stress tolerance in transgenic tobacco. This approach could be useful to develop stress tolerant crops including forage crops.

Indexed as

SalinityStress, PhysiologicalAmino Acid SequenceArsenicBacteriaBacterial Physiological PhenomenaCluster AnalysisGene ExpressionHeat-Shock ProteinsMedicago sativaMitochondrial ProteinsMolecular Sequence DataNicotianaPhylogenyPlant ProteinsRecombinant ProteinsArsenicHeat-Shock ProteinsMitochondrial ProteinsPlant ProteinsRecombinant Proteins

Identifiers

PMID22127759
PMCPMC3235403
OpenAlexW2051591214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.