Literature DB >> 34448155

RNA Sequencing Analyses for Deciphering Potato Molecular Responses.

Živa Ramšak1, Marko Petek2, Špela Baebler2.   

Abstract

Understanding the molecular mechanisms of potato development and responses to environmental stressors is of utmost importance for achieving stable crop yields. RNA sequencing (RNA-Seq) provides an insight into responses of all of the organism genes to the environmental and developmental cues and thus provides insights into underlying modes of action. In this chapter, we guide a researcher through some of the most important steps in the analysis of transcriptomics data. The initial topic of experimental design is followed by a more wet-lab-oriented section on RNA-Seq sample preparation. Next, we present intermediate steps of data retrieval, quality control, mapping, and differential expression of the dataset and a section on how to expose your data to the public (i.e., public repositories) and make it findable, accessible, interoperable, and reusable (FAIR). In the last four sections, we describe specific tools or Web applications, which ease the exploration of generated results in the context of their gene function and network-based visualizations, specifically GoMapMan, GSEA, DiNAR, and Biomine Explorer. All sections are accompanied by potato dataset examples and include general hints and tricks, as well as potato specificities that one should be aware of.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bioinformatics; Enrichment analysis; Gene mapping; Networks; Potato; RNA; RNA-Seq; Transcriptomics; Visualization

Mesh:

Substances:

Year:  2021        PMID: 34448155     DOI: 10.1007/978-1-0716-1609-3_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  33 in total

1.  Genome sequence of M6, a diploid inbred clone of the high-glycoalkaloid-producing tuber-bearing potato species Solanum chacoense, reveals residual heterozygosity.

Authors:  Courtney P Leisner; John P Hamilton; Emily Crisovan; Norma C Manrique-Carpintero; Alexandre P Marand; Linsey Newton; Gina M Pham; Jiming Jiang; David S Douches; Shelley H Jansky; C Robin Buell
Journal:  Plant J       Date:  2018-03-22       Impact factor: 6.417

2.  Base-calling of automated sequencer traces using phred. I. Accuracy assessment.

Authors:  B Ewing; L Hillier; M C Wendl; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

3.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

4.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

Review 5.  The Spring of Systems Biology-Driven Breeding.

Authors:  Jérémy Lavarenne; Soazig Guyomarc'h; Christophe Sallaud; Pascal Gantet; Mikaël Lucas
Journal:  Trends Plant Sci       Date:  2018-05-12       Impact factor: 18.313

6.  Simulation-based comprehensive benchmarking of RNA-seq aligners.

Authors:  Giacomo Baruzzo; Katharina E Hayer; Eun Ji Kim; Barbara Di Camillo; Garret A FitzGerald; Gregory R Grant
Journal:  Nat Methods       Date:  2016-12-12       Impact factor: 28.547

Review 7.  The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants.

Authors:  Peter J A Cock; Christopher J Fields; Naohisa Goto; Michael L Heuer; Peter M Rice
Journal:  Nucleic Acids Res       Date:  2009-12-16       Impact factor: 16.971

8.  Network Modeling Unravels Mechanisms of Crosstalk between Ethylene and Salicylate Signaling in Potato.

Authors:  Živa Ramšak; Anna Coll; Tjaša Stare; Oren Tzfadia; Špela Baebler; Yves Van de Peer; Kristina Gruden
Journal:  Plant Physiol       Date:  2018-06-22       Impact factor: 8.340

9.  Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.

Authors:  Helga Thorvaldsdóttir; James T Robinson; Jill P Mesirov
Journal:  Brief Bioinform       Date:  2012-04-19       Impact factor: 11.622

10.  Enabling reusability of plant phenomic datasets with MIAPPE 1.1.

Authors:  Evangelia A Papoutsoglou; Daniel Faria; Daniel Arend; Elizabeth Arnaud; Ioannis N Athanasiadis; Inês Chaves; Frederik Coppens; Guillaume Cornut; Bruno V Costa; Hanna Ćwiek-Kupczyńska; Bert Droesbeke; Richard Finkers; Kristina Gruden; Astrid Junker; Graham J King; Paweł Krajewski; Matthias Lange; Marie-Angélique Laporte; Célia Michotey; Markus Oppermann; Richard Ostler; Hendrik Poorter; Ricardo Ramı Rez-Gonzalez; Živa Ramšak; Jochen C Reif; Philippe Rocca-Serra; Susanna-Assunta Sansone; Uwe Scholz; François Tardieu; Cristobal Uauy; Björn Usadel; Richard G F Visser; Stephan Weise; Paul J Kersey; Célia M Miguel; Anne-Françoise Adam-Blondon; Cyril Pommier
Journal:  New Phytol       Date:  2020-04-25       Impact factor: 10.323

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