Literature DB >> 26021714

The use of -omic tools in the study of disease processes in marine bivalve mollusks.

Marta Gómez-Chiarri1, Ximing Guo2, Arnaud Tanguy3, Yan He4, Dina Proestou5.   

Abstract

Our understanding of disease processes and host-pathogen interactions in model species has benefited greatly from the application of medium and high-throughput genomic, metagenomic, epigenomic, transcriptomic, and proteomic analyses. The rate at which new, low-cost, high-throughput -omic technologies are being developed has also led to an expansion in the number of studies aimed at gaining a better understanding of disease processes in bivalves. This review provides a catalogue of the genetic and -omic tools available for bivalve species and examples of how -omics has contributed to the advancement of marine bivalve disease research, with a special focus in the areas of immunity, bivalve-pathogen interactions, mechanisms of disease resistance and pathogen virulence, and disease diagnosis. The analysis of bivalve genomes and transcriptomes has revealed that many immune and stress-related gene families are expanded in the bivalve taxa examined thus far. In addition, the analysis of proteomes confirms that responses to infection are influenced by epigenetic, post-transcriptional, and post-translational modifications. The few studies performed in bivalves show that epigenetic modifications are non-random, suggesting a role for epigenetics in regulating the interactions between bivalves and their environments. Despite the progress -omic tools have enabled in the field of marine bivalve disease processes, there is much more work to be done. To date, only three bivalve genomes have been sequenced completely, with assembly status at different levels of completion. Transcriptome datasets are relatively easy and inexpensive to generate, but their interpretation will benefit greatly from high quality genome assemblies and improved data analysis pipelines. Finally, metagenomic, epigenomic, proteomic, and metabolomic studies focused on bivalve disease processes are currently limited but their expansion should be facilitated as more transcriptome datasets and complete genome sequences become available for marine bivalve species.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bivalve mollusk; Epigenomics; Genomics; Host–pathogen; Metagenomics; Proteomics

Mesh:

Year:  2015        PMID: 26021714     DOI: 10.1016/j.jip.2015.05.007

Source DB:  PubMed          Journal:  J Invertebr Pathol        ISSN: 0022-2011            Impact factor:   2.841


  12 in total

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Authors:  José A Fernández Robledo; Raghavendra Yadavalli; Bassem Allam; Emmanuelle Pales Espinosa; Marco Gerdol; Samuele Greco; Rebecca J Stevick; Marta Gómez-Chiarri; Ying Zhang; Cynthia A Heil; Adrienne N Tracy; David Bishop-Bailey; Michael J Metzger
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4.  Metabolomics Study of Immune Responses of New Zealand Greenshell™ Mussels (Perna canaliculus) Infected with Pathogenic Vibrio sp.

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Review 8.  Immunological Responses of Marine Bivalves to Contaminant Exposure: Contribution of the -Omics Approach.

Authors:  Teresa Balbi; Manon Auguste; Caterina Ciacci; Laura Canesi
Journal:  Front Immunol       Date:  2021-02-18       Impact factor: 7.561

9.  Short-Term and Long-Term Biological Effects of Chronic Chemical Contamination on Natural Populations of a Marine Bivalve.

Authors:  Marine Breitwieser; Amélia Viricel; Marianne Graber; Laurence Murillo; Vanessa Becquet; Carine Churlaud; Ingrid Fruitier-Arnaudin; Valérie Huet; Camille Lacroix; Eric Pante; Stéphane Le Floch; Hélène Thomas-Guyon
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

10.  A novel and stress adaptive alternative oxidase derived from alternative splicing of duplicated exon in oyster Crassostrea virginica.

Authors:  Ming Liu; Ximing Guo
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

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