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Transcriptomic Messiness in the Venom Duct of Conus miles Contributes to Conotoxin Diversity*

Overview of attention for article published in Molecular and Cellular Proteomics, September 2013
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Title
Transcriptomic Messiness in the Venom Duct of Conus miles Contributes to Conotoxin Diversity*
Published in
Molecular and Cellular Proteomics, September 2013
DOI 10.1074/mcp.m113.030353
Pubmed ID
Authors

Ai-hua Jin, Sébastien Dutertre, Quentin Kaas, Vincent Lavergne, Petra Kubala, Richard J. Lewis, Paul F. Alewood

Abstract

Marine cone snails have developed sophisticated chemical strategies to capture prey and defend themselves against predators. Among the vast array of bioactive molecules in their venom, peptide components called conotoxins or conopeptides dominate, with many binding with high affinity and selectivity to a broad range of cellular targets, including receptors and transporters of the nervous system. Whereas the conopeptide gene precursor organization has a conserved topology, the peptides in the venom duct are highly processed. Indeed, deep sequencing transcriptomics has uncovered on average fewer than 100 toxin gene precursors per species, whereas advanced proteomics has revealed >10-fold greater diversity at the peptide level. In the present study, second-generation sequencing technologies coupled to highly sensitive mass spectrometry methods were applied to rapidly uncover the conopeptide diversity in the venom of a worm-hunting species, Conus miles. A total of 662 putative conopeptide encoded sequences were retrieved from transcriptomic data, comprising 48 validated conotoxin sequences that clustered into 10 gene superfamilies, including 3 novel superfamilies and a novel cysteine framework (C-C-C-CCC-C-C) identified at both transcript and peptide levels. A surprisingly large number of conopeptide gene sequences were expressed at low levels, including a series of single amino acid variants, as well as sequences containing deletions and frame and stop codon shifts. Some of the toxin variants generate alternative cleavage sites, interrupted or elongated cysteine frameworks, and highly variable isoforms within families that could be identified at the peptide level. Together with the variable peptide processing identified previously, background genetic and phenotypic levels of biological messiness in venoms contribute to the hypervariability of venom peptides and their ability to evolve rapidly.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Spain 1 2%
Poland 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Doctoral Student 6 13%
Student > Bachelor 6 13%
Student > Master 6 13%
Student > Ph. D. Student 5 11%
Other 9 19%
Unknown 9 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 34%
Biochemistry, Genetics and Molecular Biology 8 17%
Chemistry 6 13%
Environmental Science 1 2%
Computer Science 1 2%
Other 4 9%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 February 2020.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from Molecular and Cellular Proteomics
#1,760
of 3,221 outputs
Outputs of similar age
#68,487
of 199,165 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#14
of 44 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 199,165 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.