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Implications of endophyte-plant crosstalk in light of quorum responses for plant biotechnology

Overview of attention for article published in Applied Microbiology and Biotechnology, May 2015
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Title
Implications of endophyte-plant crosstalk in light of quorum responses for plant biotechnology
Published in
Applied Microbiology and Biotechnology, May 2015
DOI 10.1007/s00253-015-6660-8
Pubmed ID
Authors

Parijat Kusari, Souvik Kusari, Michael Spiteller, Oliver Kayser

Abstract

Quorum sensing, the cell-to-cell communication system mediated by autoinducers, is responsible for regulation of virulence factors, infections, invasion, colonization, biofilm formation, and antibiotic resistance within bacterial populations. Concomitantly, quorum quenching is a process that involves attenuation of virulence factors by inhibiting or degrading quorum signaling autoinducers. Survival of endophytic microorganisms, commonly known as endophytes, in planta is a continuous mêlée with invading pathogens and pests. In order to survive in their microhabitats inside plants, endophytes have co-evolved to not only utilize an arsenal of biologically active defense compounds but also impede communication between invading pathogens. Such antivirulence strategies prevent pathogens from communicating with or recognizing each other and thus, colonizing plants. The quenching phenomena often involves microbial crosstalk within single or mixed population(s) vis-à-vis gene expression, and production/modulation of quenching enzymes coupled to various antagonistic and synergistic interactions. This concept is particularly interesting because it can be biotechnologically translated in the future to quorum inhibiting antivirulence therapies without triggering resistance in bacteria, which is currently a major problem worldwide that cannot be tackled only with antimicrobial therapies. In this mini-review, we highlight the quorum quenching capacity of endophytes with respect to attenuation of virulence factors and aiding in plant defense response. Further, benefits and potential challenges of using such systems in biotechnology are discussed.

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The data shown below were collected from the profiles of 3 X users 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Ireland 1 <1%
Slovakia 1 <1%
Unknown 100 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 17%
Student > Master 13 13%
Researcher 12 12%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 19 18%
Unknown 25 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 37%
Biochemistry, Genetics and Molecular Biology 11 11%
Immunology and Microbiology 6 6%
Chemistry 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 13 13%
Unknown 30 29%
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 19 May 2015.
All research outputs
#18,922,529
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,246
of 8,034 outputs
Outputs of similar age
#183,977
of 268,604 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#77
of 133 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 19th percentile – i.e., 19% 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 268,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.