↓ Skip to main content

Plant-bacterium interactions analyzed by proteomics

Overview of attention for article published in Frontiers in Plant Science, January 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
114 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Plant-bacterium interactions analyzed by proteomics
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00021
Pubmed ID
Authors

Amber Afroz, Muzna Zahur, Nadia Zeeshan, Setsuko Komatsu

Abstract

The evolution of the plant immune response has resulted in a highly effective defense system that is able to resist potential attack by microbial pathogens. The primary immune response is referred to as pathogen associated molecular pattern (PAMP) triggered immunity and has evolved to recognize common features of microbial pathogens. In response to the delivery of pathogen effector proteins, plants acquired R proteins to fight against pathogen attack. R-dependent defense response is important in understanding the biochemical and cellular mechanisms and underlying these interactions will enable molecular and transgenic approaches for crops with increased biotic resistance. Proteomic analyses are particularly useful for understanding the mechanisms of host plant against the pathogen attack. Recent advances in the field of proteome analyses have initiated a new research area, i.e., the analysis of more complex microbial communities and their interaction with plant. Such areas hold great potential to elucidate, not only the interactions between bacteria and their host plants, but also of bacteria-bacteria interactions between different bacterial taxa, symbiotic, pathogenic bacteria, and commensal bacteria. During biotic stress, plant hormonal signaling pathways prioritizes defense over other cellular functions. Some plant pathogens take advantage of hormone dependent regulatory system by mimicking hormones that interfere with host immune responses to promote virulence (vir). In this review, it is discussed the cross talk that plays important role in response to pathogens attack with different infection strategies using proteomic approaches.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Croatia 1 <1%
Poland 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Researcher 24 21%
Student > Doctoral Student 11 10%
Student > Master 11 10%
Professor > Associate Professor 8 7%
Other 15 13%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 58%
Biochemistry, Genetics and Molecular Biology 14 12%
Medicine and Dentistry 3 3%
Environmental Science 2 2%
Immunology and Microbiology 2 2%
Other 7 6%
Unknown 20 18%
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 15 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from Frontiers in Plant Science
#15,808
of 19,910 outputs
Outputs of similar age
#248,706
of 280,682 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,910 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 280,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.