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

被引:21
作者
Das, Sunetra [1 ]
Shyamal, Sharmishtha [2 ]
Durica, David S. [2 ]
机构
[1] Colorado State Univ, Dept Biol, 1878 Campus Delivery, Ft Collins, CO 80523 USA
[2] Univ Oklahoma, Dept Biol, Norman, OK 73019 USA
基金
美国国家科学基金会;
关键词
CHINESE MITTEN CRAB; ANALYSIS PROVIDES INSIGHTS; TRANSCRIPTOME ANALYSIS; GENE-EXPRESSION; MOLECULAR-BASIS; READ ALIGNMENT; HOX GENES; SEQUENCE; GENERATION; GENOME;
D O I
10.1093/icb/icw117
中图分类号
Q95 [动物学];
学科分类号
071002 ;
摘要
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.
引用
收藏
页码:1067 / 1079
页数:13
相关论文
共 81 条
[51]   De novo Transcriptome Analysis of Portunus trituberculatus Ovary and Testis by RNA-Seq: Identification of Genes Involved in Gonadal Development [J].
Meng, Xian-liang ;
Liu, Ping ;
Jia, Fu-long ;
Li, Jian ;
Gao, Bao-quan .
PLOS ONE, 2015, 10 (06)
[52]   KAAS: an automatic genome annotation and pathway reconstruction server [J].
Moriya, Yuki ;
Itoh, Masumi ;
Okuda, Shujiro ;
Yoshizawa, Akiyasu C. ;
Kanehisa, Minoru .
NUCLEIC ACIDS RESEARCH, 2007, 35 :W182-W185
[53]   Mapping and quantifying mammalian transcriptomes by RNA-Seq [J].
Mortazavi, Ali ;
Williams, Brian A. ;
McCue, Kenneth ;
Schaeffer, Lorian ;
Wold, Barbara .
NATURE METHODS, 2008, 5 (07) :621-628
[54]   Resources and Recommendations for Using Transcriptomics to Address Grand Challenges in Comparative Biology [J].
Mykles, Donald L. ;
Burnett, Karen G. ;
Durica, David S. ;
Joyce, Blake L. ;
McCarthy, Fiona M. ;
Schmidt, Carl J. ;
Stillman, Jonathon H. .
INTEGRATIVE AND COMPARATIVE BIOLOGY, 2016, 56 (06) :1183-1191
[55]   KEGG: Kyoto Encyclopedia of Genes and Genomes [J].
Ogata, H ;
Goto, S ;
Sato, K ;
Fujibuchi, W ;
Bono, H ;
Kanehisa, M .
NUCLEIC ACIDS RESEARCH, 1999, 27 (01) :29-34
[56]   Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms [J].
Patro, Rob ;
Mount, Stephen M. ;
Kingsford, Carl .
NATURE BIOTECHNOLOGY, 2014, 32 (05) :462-U174
[57]   RNA-seq analysis of Macrobrachium rosenbergii hepatopancreas in response to Vibrio parahaemolyticus infection [J].
Rao, Rama ;
Zhu, Ya Bing ;
Alinejad, Tahereh ;
Tiruvayipati, Suma ;
Thong, Kwai Lin ;
Wang, Jun ;
Bhassu, Subha .
GUT PATHOGENS, 2015, 7
[58]   Comparison of Sequencing Platforms for Single Nucleotide Variant Calls in a Human Sample [J].
Ratan, Aakrosh ;
Miller, Webb ;
Guillory, Joseph ;
Stinson, Jeremy ;
Seshagiri, Somasekar ;
Schuster, Stephan C. .
PLOS ONE, 2013, 8 (02)
[59]   A scaling normalization method for differential expression analysis of RNA-seq data [J].
Robinson, Mark D. ;
Oshlack, Alicia .
GENOME BIOLOGY, 2010, 11 (03)
[60]   RNA-seq assembly - are we there yet? [J].
Schliesky, Simon ;
Gowik, Udo ;
Weber, Andreas P. M. ;
Braeutigam, Andrea .
FRONTIERS IN PLANT SCIENCE, 2012, 3