Literature DB >> 27940611

Analysis of Annotation and Differential Expression Methods used in RNA-seq Studies in Crustacean Systems.

Sunetra Das1, Sharmishtha Shyamal2, David S Durica2.   

Abstract

In the field of crustacean biology, usage of RNA-seq to study gene expression is rapidly growing. Major advances in sequencing technology have contributed to the ability to examine complex patterns of genome activity in a wide range of organisms that are extensively used for comparative physiology, ecology and evolution, environmental monitoring, and commercial aquaculture. Relative to insect and vertebrate model organisms, however, information on the organization of crustacean genomes is virtually nonexistent, making de novo transcriptome assembly, annotation and quantification problematic and challenging. We present here a summary of the methodologies and software analyses employed in 23 recent publications, which describe de novo transcriptome assembly, annotation, and differential gene expression in a variety of crustacean experimental systems. We focus on establishing a series of best practices that will allow for investigators to produce datasets that are understandable, reproducible, and of general utility for related analyses and cross-study comparisons.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Mesh:

Year:  2016        PMID: 27940611     DOI: 10.1093/icb/icw117

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  7 in total

Review 1.  Here We Are, But Where Do We Go? A Systematic Review of Crustacean Transcriptomic Studies from 2014-2015.

Authors:  Justin C Havird; Scott R Santos
Journal:  Integr Comp Biol       Date:  2016-07-08       Impact factor: 3.326

2.  Disparate responses to salinity across species and organizational levels in anchialine shrimps.

Authors:  Justin C Havird; Eli Meyer; Yoshihisa Fujita; Rebecca C Vaught; Raymond P Henry; Scott R Santos
Journal:  J Exp Biol       Date:  2019-12-12       Impact factor: 3.312

Review 3.  Resources and Recommendations for Using Transcriptomics to Address Grand Challenges in Comparative Biology.

Authors:  Donald L Mykles; Karen G Burnett; David S Durica; Blake L Joyce; Fiona M McCarthy; Carl J Schmidt; Jonathon H Stillman
Journal:  Integr Comp Biol       Date:  2016-09-17       Impact factor: 3.326

4.  Transcriptional frontloading contributes to cross-tolerance between stressors.

Authors:  Michael Collins; Melody S Clark; John I Spicer; Manuela Truebano
Journal:  Evol Appl       Date:  2020-10-22       Impact factor: 5.183

5.  De Novo Transcriptome Analysis of the Venom of Latrodectus geometricus with the Discovery of an Insect-Selective Na Channel Modulator.

Authors:  Pornsawan Khamtorn; Steve Peigneur; Fernanda Gobbi Amorim; Loïc Quinton; Jan Tytgat; Sakda Daduang
Journal:  Molecules       Date:  2021-12-22       Impact factor: 4.411

6.  De novo transcriptome analyses provide insights into opsin-based photoreception in the lanternshark Etmopterus spinax.

Authors:  Jérôme Delroisse; Laurent Duchatelet; Patrick Flammang; Jérôme Mallefet
Journal:  PLoS One       Date:  2018-12-31       Impact factor: 3.240

7.  Gene Expression and Carcass Traits Are Different between Different Quality Grade Groups in Red-Faced Hereford Steers.

Authors:  Bailey Engle; Molly Masters; Jane Ann Boles; Jennifer Thomson
Journal:  Animals (Basel)       Date:  2021-06-27       Impact factor: 2.752

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.