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Ecological Niche-Inspired Genome Mining Leads to the Discovery of Crop-Protecting Nonribosomal Lipopeptides Featuring a Transient Amino Acid Building Block

Overview of attention for article published in Journal of the American Chemical Society, January 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 67,556)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
130 news outlets
blogs
7 blogs
twitter
352 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Ecological Niche-Inspired Genome Mining Leads to the Discovery of Crop-Protecting Nonribosomal Lipopeptides Featuring a Transient Amino Acid Building Block
Published in
Journal of the American Chemical Society, January 2023
DOI 10.1021/jacs.2c11107
Pubmed ID
Authors

Sebastian Götze, Raghav Vij, Katja Burow, Nicola Thome, Lennart Urbat, Nicolas Schlosser, Sebastian Pflanze, Rita Müller, Veit G. Hänsch, Kevin Schlabach, Leila Fazlikhani, Grit Walther, Hans-Martin Dahse, Lars Regestein, Sascha Brunke, Bernhard Hube, Christian Hertweck, Philipp Franken, Pierre Stallforth

Abstract

Investigating the ecological context of microbial predator-prey interactions enables the identification of microorganisms, which produce multiple secondary metabolites to evade predation or to kill the predator. In addition, genome mining combined with molecular biology methods can be used to identify further biosynthetic gene clusters that yield new antimicrobials to fight the antimicrobial crisis. In contrast, classical screening-based approaches have limitations since they do not aim to unlock the entire biosynthetic potential of a given organism. Here, we describe the genomics-based identification of keanumycins A-C. These nonribosomal peptides enable bacteria of the genus Pseudomonas to evade amoebal predation. While being amoebicidal at a nanomolar level, these compounds also exhibit a strong antimycotic activity in particular against the devastating plant pathogen Botrytis cinerea and they drastically inhibit the infection of Hydrangea macrophylla leaves using only supernatants of Pseudomonas cultures. The structures of the keanumycins were fully elucidated through a combination of nuclear magnetic resonance, tandem mass spectrometry, and degradation experiments revealing an unprecedented terminal imine motif in keanumycin C extending the family of nonribosomal amino acids by a highly reactive building block. In addition, chemical synthesis unveiled the absolute configuration of the unusual dihydroxylated fatty acid of keanumycin A, which has not yet been reported for this lipodepsipeptide class. Finally, a detailed genome-wide microarray analysis of Candida albicans exposed to keanumycin A shed light on the mode-of-action of this potential natural product lead, which will aid the development of new pharmaceutical and agrochemical antifungals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 352 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Bachelor 6 13%
Researcher 4 8%
Student > Master 4 8%
Student > Postgraduate 3 6%
Other 3 6%
Unknown 20 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 23%
Agricultural and Biological Sciences 9 19%
Chemistry 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1246. 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 21 April 2024.
All research outputs
#11,352
of 25,942,066 outputs
Outputs from Journal of the American Chemical Society
#2
of 67,556 outputs
Outputs of similar age
#326
of 478,719 outputs
Outputs of similar age from Journal of the American Chemical Society
#1
of 740 outputs
Altmetric has tracked 25,942,066 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 67,556 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% 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 478,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 740 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.