Literature DB >> 26150494

Optimized deep-targeted proteotranscriptomic profiling reveals unexplored Conus toxin diversity and novel cysteine frameworks.

Vincent Lavergne1, Ivon Harliwong2, Alun Jones1, David Miller2, Ryan J Taft2, Paul F Alewood3.   

Abstract

Cone snails are predatory marine gastropods characterized by a sophisticated venom apparatus responsible for the biosynthesis and delivery of complex mixtures of cysteine-rich toxin peptides. These conotoxins fold into small highly structured frameworks, allowing them to potently and selectively interact with heterologous ion channels and receptors. Approximately 2,000 toxins from an estimated number of >70,000 bioactive peptides have been identified in the genus Conus to date. Here, we describe a high-resolution interrogation of the transcriptomes (available at www.ddbj.nig.ac.jp) and proteomes of the diverse compartments of the Conus episcopatus venom apparatus. Using biochemical and bioinformatic tools, we found the highest number of conopeptides yet discovered in a single Conus specimen, with 3,305 novel precursor toxin sequences classified into 9 known superfamilies (A, I1, I2, M, O1, O2, S, T, Z), and identified 16 new superfamilies showing unique signal peptide signatures. We were also able to depict the largest population of venom peptides containing the pharmacologically active C-C-CC-C-C inhibitor cystine knot and CC-C-C motifs (168 and 44 toxins, respectively), as well as 208 new conotoxins displaying odd numbers of cysteine residues derived from known conotoxin motifs. Importantly, six novel cysteine-rich frameworks were revealed which may have novel pharmacology. Finally, analyses of codon usage bias and RNA-editing processes of the conotoxin transcripts demonstrate a specific conservation of the cysteine skeleton at the nucleic acid level and provide new insights about the origin of sequence hypervariablity in mature toxin regions.

Entities:  

Keywords:  bioinformatic; conotoxin; cysteine-rich peptides; proteomic; transcriptomic

Mesh:

Substances:

Year:  2015        PMID: 26150494      PMCID: PMC4517256          DOI: 10.1073/pnas.1501334112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  108 in total

1.  Mechanisms for evolving hypervariability: the case of conopeptides.

Authors:  S G Conticello; Y Gilad; N Avidan; E Ben-Asher; Z Levy; M Fainzilber
Journal:  Mol Biol Evol       Date:  2001-02       Impact factor: 16.240

2.  Precursors of novel Gla-containing conotoxins contain a carboxy-terminal recognition site that directs gamma-carboxylation.

Authors:  Mark A Brown; Gail S Begley; Eva Czerwiec; Leisa M Stenberg; Margaret Jacobs; Dário E Kalume; Peter Roepstorff; Johan Stenflo; Barbara C Furie; Bruce Furie
Journal:  Biochemistry       Date:  2005-06-28       Impact factor: 3.162

Review 3.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

4.  SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads.

Authors:  Yinlong Xie; Gengxiong Wu; Jingbo Tang; Ruibang Luo; Jordan Patterson; Shanlin Liu; Weihua Huang; Guangzhu He; Shengchang Gu; Shengkang Li; Xin Zhou; Tak-Wah Lam; Yingrui Li; Xun Xu; Gane Ka-Shu Wong; Jun Wang
Journal:  Bioinformatics       Date:  2014-02-13       Impact factor: 6.937

Review 5.  Enzymatic and nonenzymatic ADP-ribosylation of cysteine.

Authors:  L J McDonald; J Moss
Journal:  Mol Cell Biochem       Date:  1994-09       Impact factor: 3.396

6.  Neuropeptide amidation: cloning of a bifunctional alpha-amidating enzyme from Aplysia.

Authors:  X Fan; S Spijker; D B Akalal; G T Nagle
Journal:  Brain Res Mol Brain Res       Date:  2000-10-20

Review 7.  A-to-I and C-to-U editing within transfer RNAs.

Authors:  A A H Su; L Randau
Journal:  Biochemistry (Mosc)       Date:  2011-08       Impact factor: 2.487

8.  Purification and characterization of a novel excitatory peptide from Conus distans venom that defines a novel gene superfamily of conotoxins.

Authors:  Ping Chen; James E Garrett; Maren Watkins; Baldomero M Olivera
Journal:  Toxicon       Date:  2008-06-05       Impact factor: 3.033

9.  Evolution of ecological specialization and venom of a predatory marine gastropod.

Authors:  E A Remigio; T F Duda
Journal:  Mol Ecol       Date:  2008-01-21       Impact factor: 6.185

10.  A novel inhibitor of α9α10 nicotinic acetylcholine receptors from Conus vexillum delineates a new conotoxin superfamily.

Authors:  Sulan Luo; Sean Christensen; Dongting Zhangsun; Yong Wu; Yuanyan Hu; Xiaopeng Zhu; Sandeep Chhabra; Raymond S Norton; J Michael McIntosh
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

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  34 in total

1.  Lack of Signal for the Impact of Conotoxin Gene Diversity on Speciation Rates in Cone Snails.

Authors:  Mark A Phuong; Michael E Alfaro; Gusti N Mahardika; Ristiyanti M Marwoto; Romanus Edy Prabowo; Thomas von Rintelen; Philipp W H Vogt; Jonathan R Hendricks; Nicolas Puillandre
Journal:  Syst Biol       Date:  2019-09-01       Impact factor: 15.683

Review 2.  α-Conotoxins active at α3-containing nicotinic acetylcholine receptors and their molecular determinants for selective inhibition.

Authors:  Hartmut Cuny; Rilei Yu; Han-Shen Tae; Shiva N Kompella; David J Adams
Journal:  Br J Pharmacol       Date:  2017-06-11       Impact factor: 8.739

3.  Insertions and Deletions Play an Important Role in the Diversity of Conotoxins.

Authors:  Manyi Yang; Maojun Zhou
Journal:  Protein J       Date:  2020-04       Impact factor: 2.371

4.  Comparative transcriptomics of the venoms of continental and insular radiations of West African cones.

Authors:  Samuel Abalde; Manuel J Tenorio; Carlos M L Afonso; Rafael Zardoya
Journal:  Proc Biol Sci       Date:  2020-06-17       Impact factor: 5.349

Review 5.  Comparison of Strategies to Overcome Drug Resistance: Learning from Various Kingdoms.

Authors:  Hiroshi Ogawara
Journal:  Molecules       Date:  2018-06-18       Impact factor: 4.411

6.  αO-Conotoxin GeXIVA disulfide bond isomers exhibit differential sensitivity for various nicotinic acetylcholine receptors but retain potency and selectivity for the human α9α10 subtype.

Authors:  Dongting Zhangsun; Xiaopeng Zhu; Quentin Kaas; Yong Wu; David J Craik; J Michael McIntosh; Sulan Luo
Journal:  Neuropharmacology       Date:  2017-04-14       Impact factor: 5.250

7.  Isolation and characterization of five novel disulfide-poor conopeptides from Conus marmoreus venom.

Authors:  Ying Fu; Yu Zhang; Shuang Ju; Bokai Ma; Wenwen Huang; Sulan Luo
Journal:  J Venom Anim Toxins Incl Trop Dis       Date:  2022-05-18

8.  Oxidative Folding of Conopeptides Modified by Conus Protein Disulfide Isomerase.

Authors:  Lei Wang; Xiaomin Wang; Zhenghua Ren; Wei Tang; Qiong Zou; Jinxing Wang; Shangwu Chen; Han Zhang; Anlong Xu
Journal:  Protein J       Date:  2017-10       Impact factor: 2.371

Review 9.  From Mollusks to Medicine: A Venomics Approach for the Discovery and Characterization of Therapeutics from Terebridae Peptide Toxins.

Authors:  Aida Verdes; Prachi Anand; Juliette Gorson; Stephen Jannetti; Patrick Kelly; Abba Leffler; Danny Simpson; Girish Ramrattan; Mandë Holford
Journal:  Toxins (Basel)       Date:  2016-04-19       Impact factor: 4.546

10.  Dietary breadth is positively correlated with venom complexity in cone snails.

Authors:  Mark A Phuong; Gusti N Mahardika; Michael E Alfaro
Journal:  BMC Genomics       Date:  2016-05-26       Impact factor: 3.969

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