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Multifunctional warheads: Diversification of the toxin arsenal of centipedes via novel multidomain transcripts

Overview of attention for article published in Journal of Proteomics, March 2014
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Title
Multifunctional warheads: Diversification of the toxin arsenal of centipedes via novel multidomain transcripts
Published in
Journal of Proteomics, March 2014
DOI 10.1016/j.jprot.2014.02.024
Pubmed ID
Authors

Eivind A.B. Undheim, Kartik Sunagar, Brett R. Hamilton, Alun Jones, Deon J. Venter, Bryan G. Fry, Glenn F. King

Abstract

Arthropod toxins are almost invariably encoded by transcripts encoding prepropeptides that are posttranslationally processed to yield a single mature toxin. In striking contrast to this paradigm, we used a complementary transcriptomic, proteomic and MALDI-imaging approach to identify four classes of multidomain centipede-toxin transcripts that each encodes multiple mature toxins. These multifunctional warheads comprise either: (1) repeats of linear peptides; (2) linear peptides preceding cysteine-rich peptides; (3) cysteine-rich peptides preceding linear peptides; or (4) repeats of linear peptides preceding cysteine-rich peptides. MALDI imaging of centipede venom glands revealed that these peptides are posttranslationally liberated from the original gene product in the venom gland and not by proteases following venom secretion. These multidomain transcripts exhibit a remarkable conservation of coding sequences, in striking contrast to monodomain toxin transcripts from related centipede species, and we demonstrate that they represent a rare class of predatory toxins that have evolved under strong negative selection. We hypothesize that the peptide toxins liberated from multidomain precursors might have synergistic modes of action, thereby allowing negative selection to dominate as the toxins encoded by the same transcript become increasingly interdependent.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Australia 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 9 15%
Student > Master 8 13%
Student > Doctoral Student 7 11%
Student > Bachelor 4 7%
Other 13 21%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 36%
Biochemistry, Genetics and Molecular Biology 15 25%
Arts and Humanities 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Environmental Science 2 3%
Other 8 13%
Unknown 9 15%
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 20 March 2014.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Journal of Proteomics
#2,625
of 3,461 outputs
Outputs of similar age
#174,351
of 236,221 outputs
Outputs of similar age from Journal of Proteomics
#38
of 57 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,461 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.