Literature DB >> 24043424

Transcriptomic messiness in the venom duct of Conus miles contributes to conotoxin diversity.

Ai-hua Jin1, 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.

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Year:  2013        PMID: 24043424      PMCID: PMC3861727          DOI: 10.1074/mcp.M113.030353

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  46 in total

1.  Proteomics goes quantitative: measuring protein abundance.

Authors:  Hanno Steen; Akhilesh Pandey
Journal:  Trends Biotechnol       Date:  2002-09       Impact factor: 19.536

2.  A helical conotoxin from Conus imperialis has a novel cysteine framework and defines a new superfamily.

Authors:  Mingyu Ye; Keith K Khoo; Shaoqiong Xu; Mi Zhou; Nonlawat Boonyalai; Matthew A Perugini; Xiaoxia Shao; Chengwu Chi; Charles A Galea; Chunguang Wang; Raymond S Norton
Journal:  J Biol Chem       Date:  2012-03-07       Impact factor: 5.157

3.  I-conotoxin superfamily revisited.

Authors:  Sukanta Mondal; Rajasekaran Mohan Babu; Rajasekaran Bhavna; Suryanarayanarao Ramakumar
Journal:  J Pept Sci       Date:  2006-11       Impact factor: 1.905

4.  Remarkable inter- and intra-species complexity of conotoxins revealed by LC/MS.

Authors:  Jasmine Davis; Alun Jones; Richard J Lewis
Journal:  Peptides       Date:  2009-04-08       Impact factor: 3.750

5.  Conantokin-P, an unusual conantokin with a long disulfide loop.

Authors:  Konkallu Hanumae Gowd; Vernon Twede; Maren Watkins; K S Krishnan; Russell W Teichert; Grzegorz Bulaj; Baldomero M Olivera
Journal:  Toxicon       Date:  2008-06-03       Impact factor: 3.033

Review 6.  Speciation of cone snails and interspecific hyperdivergence of their venom peptides. Potential evolutionary significance of introns.

Authors:  B M Olivera; C Walker; G E Cartier; D Hooper; A D Santos; R Schoenfeld; R Shetty; M Watkins; P Bandyopadhyay; D R Hillyard
Journal:  Ann N Y Acad Sci       Date:  1999-05-18       Impact factor: 5.691

7.  In vitro and in vivo characterization of conantokin-R, a selective NMDA receptor antagonist isolated from the venom of the fish-hunting snail Conus radiatus.

Authors:  H S White; R T McCabe; H Armstrong; S D Donevan; L J Cruz; F C Abogadie; J Torres; J E Rivier; I Paarmann; M Hollmann; B M Olivera
Journal:  J Pharmacol Exp Ther       Date:  2000-01       Impact factor: 4.030

8.  Deep venomics reveals the mechanism for expanded peptide diversity in cone snail venom.

Authors:  Sébastien Dutertre; Ai-hua Jin; Quentin Kaas; Alun Jones; Paul F Alewood; Richard J Lewis
Journal:  Mol Cell Proteomics       Date:  2012-11-14       Impact factor: 5.911

9.  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

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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  29 in total

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

Authors:  Vincent Lavergne; Ivon Harliwong; Alun Jones; David Miller; Ryan J Taft; Paul F Alewood
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-06       Impact factor: 11.205

2.  Targeted Sequencing of Venom Genes from Cone Snail Genomes Improves Understanding of Conotoxin Molecular Evolution.

Authors:  Mark A Phuong; Gusti N Mahardika
Journal:  Mol Biol Evol       Date:  2018-05-01       Impact factor: 16.240

3.  Structural features of conopeptide genes inferred from partial sequences of the Conus tribblei genome.

Authors:  Neda Barghi; Gisela P Concepcion; Baldomero M Olivera; Arturo O Lluisma
Journal:  Mol Genet Genomics       Date:  2015-09-30       Impact factor: 3.291

Review 4.  Bioinformatics-Aided Venomics.

Authors:  Quentin Kaas; David J Craik
Journal:  Toxins (Basel)       Date:  2015-06-11       Impact factor: 4.546

5.  Toxin diversity revealed by a transcriptomic study of Ornithoctonus huwena.

Authors:  Yiya Zhang; Yong Huang; Quanze He; Jinyan Liu; Ji Luo; Li Zhu; Shanshan Lu; Pengfei Huang; Xinyi Chen; Xiongzhi Zeng; Songping Liang
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

Review 6.  Conotoxin gene superfamilies.

Authors:  Samuel D Robinson; Raymond S Norton
Journal:  Mar Drugs       Date:  2014-12-17       Impact factor: 5.118

7.  High-throughput identification of novel conotoxins from the Chinese tubular cone snail (Conus betulinus) by multi-transcriptome sequencing.

Authors:  Chao Peng; Ge Yao; Bing-Miao Gao; Chong-Xu Fan; Chao Bian; Jintu Wang; Ying Cao; Bo Wen; Yabing Zhu; Zhiqiang Ruan; Xiaofei Zhao; Xinxin You; Jie Bai; Jia Li; Zhilong Lin; Shijie Zou; Xinhui Zhang; Ying Qiu; Jieming Chen; Steven L Coon; Jiaan Yang; Ji-Sheng Chen; Qiong Shi
Journal:  Gigascience       Date:  2016-04-14       Impact factor: 6.524

8.  Comparison of the Venom Peptides and Their Expression in Closely Related Conus Species: Insights into Adaptive Post-speciation Evolution of Conus Exogenomes.

Authors:  Neda Barghi; Gisela P Concepcion; Baldomero M Olivera; Arturo O Lluisma
Journal:  Genome Biol Evol       Date:  2015-06-04       Impact factor: 3.416

9.  Evolution of separate predation- and defence-evoked venoms in carnivorous cone snails.

Authors:  Sébastien Dutertre; Ai-Hua Jin; Irina Vetter; Brett Hamilton; Kartik Sunagar; Vincent Lavergne; Valentin Dutertre; Bryan G Fry; Agostinho Antunes; Deon J Venter; Paul F Alewood; Richard J Lewis
Journal:  Nat Commun       Date:  2014-03-24       Impact factor: 14.919

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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