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Nitrogen-fixing Rhizobium-legume symbiosis: are polyploidy and host peptide-governed symbiont differentiation general principles of endosymbiosis?

Overview of attention for article published in Frontiers in Microbiology, June 2014
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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2 X users
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1 Wikipedia page

Citations

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107 Dimensions

Readers on

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322 Mendeley
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Title
Nitrogen-fixing Rhizobium-legume symbiosis: are polyploidy and host peptide-governed symbiont differentiation general principles of endosymbiosis?
Published in
Frontiers in Microbiology, June 2014
DOI 10.3389/fmicb.2014.00326
Pubmed ID
Authors

Gergely Maróti, Éva Kondorosi

Abstract

The symbiosis between rhizobia soil bacteria and legumes is facultative and initiated by nitrogen starvation of the host plant. Exchange of signal molecules between the partners leads to the formation of root nodules where bacteria are converted to nitrogen-fixing bacteroids. In this mutualistic symbiosis, the bacteria provide nitrogen sources for plant growth in return for photosynthates from the host. Depending on the host plant the symbiotic fate of bacteria can either be reversible or irreversible. In Medicago plants the bacteria undergo a host-directed multistep differentiation process culminating in the formation of elongated and branched polyploid bacteria with definitive loss of cell division ability. The plant factors are nodule-specific symbiotic peptides. About 500 of them are cysteine-rich NCR peptides produced in the infected plant cells. NCRs are targeted to the endosymbionts and the concerted action of different sets of peptides governs different stages of endosymbiont maturation. This review focuses on symbiotic plant cell development and terminal bacteroid differentiation and demonstrates the crucial roles of symbiotic peptides by showing an example of multi-target mechanism exerted by one of these symbiotic peptides.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
United States 2 <1%
Uruguay 1 <1%
United Kingdom 1 <1%
Austria 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 313 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 21%
Student > Master 50 16%
Student > Bachelor 48 15%
Researcher 36 11%
Student > Doctoral Student 10 3%
Other 32 10%
Unknown 79 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 146 45%
Biochemistry, Genetics and Molecular Biology 50 16%
Environmental Science 11 3%
Immunology and Microbiology 9 3%
Computer Science 4 1%
Other 13 4%
Unknown 89 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 April 2020.
All research outputs
#6,922,371
of 24,579,513 outputs
Outputs from Frontiers in Microbiology
#6,832
of 27,929 outputs
Outputs of similar age
#61,810
of 232,119 outputs
Outputs of similar age from Frontiers in Microbiology
#53
of 189 outputs
Altmetric has tracked 24,579,513 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 27,929 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 232,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.