Literature DB >> 24440519

Non-model organisms, a species endangered by proteogenomics.

Jean Armengaud1, Judith Trapp2, Olivier Pible3, Olivier Geffard4, Arnaud Chaumot4, Erica M Hartmann3.   

Abstract

Previously, large-scale proteomics was possible only for organisms whose genomes were sequenced, meaning the most common model organisms. The use of next-generation sequencers is now changing the deal. With "proteogenomics", the use of experimental proteomics data to refine genome annotations, a higher integration of omics data is gaining ground. By extension, combining genomic and proteomic data is becoming routine in many research projects. "Proteogenomic"-flavored approaches are currently expanding, enabling the molecular studies of non-model organisms at an unprecedented depth. Today draft genomes can be obtained using next-generation sequencers in a rather straightforward way and at a reasonable cost for any organism. Unfinished genome sequences can be used to interpret tandem mass spectrometry proteomics data without the need for time-consuming genome annotation, and the use of RNA-seq to establish nucleotide sequences that are directly translated into protein sequences appears promising. There are, however, certain drawbacks that deserve further attention for RNA-seq to become more efficient. Here, we discuss the opportunities of working with non-model organisms, the proteomic methods that have been used until now, and the dramatic improvements proffered by proteogenomics. These put the distinction between model and non-model organisms in great danger, at least in terms of proteomics! BIOLOGICAL SIGNIFICANCE: Model organisms have been crucial for in-depth analysis of cellular and molecular processes of life. Focusing the efforts of thousands of researchers on the Escherichia coli bacterium, Saccharomyces cerevisiae yeast, Arabidopsis thaliana plant, Danio rerio fish and other models for which genetic manipulation was possible was certainly worthwhile in terms of fundamental and invaluable biological insights. Until recently, proteomics of non-model organisms was limited to tedious, homology-based techniques, but today draft genomes or RNA-seq data can be straightforwardly obtained using next-generation sequencers, allowing the establishment of a draft protein database for any organism. Thus, proteogenomics opens new perspectives for molecular studies of non-model organisms, although they are still difficult experimental organisms. This article is part of a Special Issue entitled: Proteomics of non-model organisms.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Draft genome; High-throughput proteomics; Next-generation sequencing; Non-model organisms; Proteogenomics; RNA-seq

Mesh:

Substances:

Year:  2014        PMID: 24440519     DOI: 10.1016/j.jprot.2014.01.007

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  35 in total

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Journal:  Mol Cell Proteomics       Date:  2016-02-22       Impact factor: 5.911

2.  A Primer and Guidelines for Shotgun Proteomic Analysis in Non-model Organisms.

Authors:  Angel P Diz; Paula Sánchez-Marín
Journal:  Methods Mol Biol       Date:  2021

3.  A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes.

Authors:  Christoph N Schlaffner; Georg J Pirklbauer; Andreas Bender; Judith A J Steen; Jyoti S Choudhary
Journal:  J Vis Exp       Date:  2018-05-22       Impact factor: 1.355

4.  Investigating Lactococcus lactis MG1363 Response to Phage p2 Infection at the Proteome Level.

Authors:  Marie-Laurence Lemay; Andreas Otto; Sandra Maaß; Kristina Plate; Dörte Becher; Sylvain Moineau
Journal:  Mol Cell Proteomics       Date:  2019-01-24       Impact factor: 5.911

5.  Leveraging the complementary nature of RNA-Seq and shotgun proteomics data.

Authors:  Xiaojing Wang; Qi Liu; Bing Zhang
Journal:  Proteomics       Date:  2014-11-17       Impact factor: 3.984

6.  Proteogenomics of Gammarus fossarum to document the reproductive system of amphipods.

Authors:  Judith Trapp; Olivier Geffard; Gilles Imbert; Jean-Charles Gaillard; Anne-Hélène Davin; Arnaud Chaumot; Jean Armengaud
Journal:  Mol Cell Proteomics       Date:  2014-10-07       Impact factor: 5.911

Review 7.  Proteogenomics: concepts, applications and computational strategies.

Authors:  Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2014-11       Impact factor: 28.547

8.  Genomic and physiological analysis reveals versatile metabolic capacity of deep-sea Photobacterium phosphoreum ANT-2200.

Authors:  Sheng-Da Zhang; Claire-Lise Santini; Wei-Jia Zhang; Valérie Barbe; Sophie Mangenot; Charlotte Guyomar; Marc Garel; Hai-Tao Chen; Xue-Gong Li; Qun-Jian Yin; Yuan Zhao; Jean Armengaud; Jean-Charles Gaillard; Séverine Martini; Nathalie Pradel; Claude Vidaud; François Alberto; Claudine Médigue; Christian Tamburini; Long-Fei Wu
Journal:  Extremophiles       Date:  2016-04-02       Impact factor: 2.395

Review 9.  Proteogenomics from a bioinformatics angle: A growing field.

Authors:  Gerben Menschaert; David Fenyö
Journal:  Mass Spectrom Rev       Date:  2015-12-15       Impact factor: 10.946

Review 10.  Leveraging orthogonal mass spectrometry based strategies for comprehensive sequencing and characterization of ribosomal antimicrobial peptide natural products.

Authors:  Tessa B Moyer; Nicole C Parsley; Patric W Sadecki; Wyatt J Schug; Leslie M Hicks
Journal:  Nat Prod Rep       Date:  2020-09-15       Impact factor: 13.423

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