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Proteomic discovery of H2O2 response in roots and functional characterization of PutGLP gene from alkaligrass

Overview of attention for article published in Planta, July 2018
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Title
Proteomic discovery of H2O2 response in roots and functional characterization of PutGLP gene from alkaligrass
Published in
Planta, July 2018
DOI 10.1007/s00425-018-2940-8
Pubmed ID
Authors

Juanjuan Yu, Yongxue Zhang, Junming Liu, Lin Wang, Panpan Liu, Zepeng Yin, Siyi Guo, Jun Ma, Zhuang Lu, Tai Wang, Yimin She, Yuchen Miao, Ling Ma, Sixue Chen, Ying Li, Shaojun Dai

Abstract

Hydrogen peroxide-responsive pathways in roots of alkaligrass analyzed by proteomic studies and PutGLP enhance the plant tolerance to saline-, alkali- and cadmium-induced oxidative stresses. Oxidative stress adaptation is critical for plants in response to various stress environments. The halophyte alkaligrass (Puccinellia tenuiflora) is an outstanding pasture with strong tolerance to salt and alkali stresses. In this study, iTRAQ- and 2DE-based proteomics approaches, as well as qRT-PCR and molecular genetics, were employed to investigate H2O2-responsive mechanisms in alkaligrass roots. The evaluation of membrane integrity and reactive oxygen species (ROS)-scavenging systems, as well as abundance patterns of H2O2-responsive proteins/genes indicated that Ca2+-mediated kinase signaling pathways, ROS homeostasis, osmotic modulation, and transcriptional regulation were pivotal for oxidative adaptation in alkaligrass roots. Overexpressing a P. tenuiflora germin-like protein (PutGLP) gene in Arabidopsis seedlings revealed that the apoplastic PutGLP with activities of oxalate oxidase and superoxide dismutase was predominantly expressed in roots and played important roles in ROS scavenging in response to salinity-, alkali-, and CdCl2-induced oxidative stresses. The results provide insights into the fine-tuned redox-responsive networks in halophyte roots.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Professor 1 9%
Other 1 9%
Unknown 7 64%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 18%
Chemistry 1 9%
Engineering 1 9%
Unknown 7 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 July 2018.
All research outputs
#17,985,001
of 23,096,849 outputs
Outputs from Planta
#2,064
of 2,742 outputs
Outputs of similar age
#237,229
of 329,730 outputs
Outputs of similar age from Planta
#19
of 47 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,742 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.