High-quality reference transcript datasets hold the key to transcript-specific RNA-sequencing analysis in plants.

525 I. 525 II. 526 III. 527 IV. 527 V. 529 VI. 529 529 References 529 SUMMARY: Re-programming of the transcriptome involves both transcription and alternative splicing (AS). Some genes are regulated only at the AS level with no change in expression at the gene level. AS data must be incorporated as an essential aspect of the regulation of gene expression. RNA-sequencing (RNA-seq) can deliver both transcriptional and AS information, but accurate methods to analyse the added complexity in RNA-seq data are needed. The construction of a comprehensive reference transcript dataset (RTD) for a specific plant species, variety or accession, from all available sequence data, will immediately allow more robust analysis of RNA-seq data. RTDs will continually evolve and improve, a process that will be more efficient if resources across a community are shared and pooled.

[1]  H. Hirt,et al.  AtRTD2: A Reference Transcript Dataset for accurate quantification of alternative splicing and expression changes in Arabidopsis thaliana RNA-seq data , 2016, bioRxiv.

[2]  Aleksandra A. Kolodziejczyk,et al.  The technology and biology of single-cell RNA sequencing. , 2015, Molecular cell.

[3]  W. Soppe,et al.  Seed Dormancy in Arabidopsis Requires Self-Binding Ability of DOG1 Protein and the Presence of Multiple Isoforms Generated by Alternative Splicing , 2015, PLoS genetics.

[4]  G. Barton,et al.  How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use? , 2015, RNA.

[5]  Lior Pachter,et al.  Differential analysis of RNA-seq incorporating quantification uncertainty , 2016, Nature Methods.

[6]  Kenneth D. Birnbaum,et al.  The potential of single-cell profiling in plants , 2016, Genome Biology.

[7]  Karsten M. Borgwardt,et al.  1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana , 2016, Cell.

[8]  Emily M. Strait,et al.  The arabidopsis information resource: Making and mining the “gold standard” annotated reference plant genome , 2015, Genesis.

[9]  Yamile Marquez,et al.  Unmasking alternative splicing inside protein-coding exons defines exitrons and their role in proteome plasticity , 2015, Genome research.

[10]  Vipin T. Sreedharan,et al.  Multiple reference genomes and transcriptomes for Arabidopsis thaliana , 2011, Nature.

[11]  D. Rio,et al.  Mechanisms and Regulation of Alternative Pre-mRNA Splicing. , 2015, Annual review of biochemistry.

[12]  Geet Duggal,et al.  Accurate, fast, and model-aware transcript expression quantification with Salmon , 2015 .

[13]  Yutaka Suzuki,et al.  Phytochrome controls alternative splicing to mediate light responses in Arabidopsis , 2014, Proceedings of the National Academy of Sciences.

[14]  Daniel J. Gaffney,et al.  A survey of best practices for RNA-seq data analysis , 2016, Genome Biology.

[15]  D. Corcoran,et al.  Paired-End Analysis of Transcription Start Sites in Arabidopsis Reveals Plant-Specific Promoter Signatures[C][W] , 2014, Plant Cell.

[16]  Yamile Marquez,et al.  Transcriptome survey reveals increased complexity of the alternative splicing landscape in Arabidopsis , 2012, Genome research.

[17]  Karsten M. Borgwardt,et al.  Whole-genome sequencing of multiple Arabidopsis thaliana populations , 2011, Nature Genetics.

[18]  Jessica K. Chang,et al.  Transcriptome dynamics of the stomatal lineage: birth, amplification, and termination of a self-renewing population. , 2015, Developmental cell.

[19]  Yongsheng Bai,et al.  Evaluation of de novo transcriptome assemblies from RNA-Seq data , 2014, Genome Biology.

[20]  Henry D. Priest,et al.  Alternative splicing in plants: directing traffic at the crossroads of adaptation and environmental stress. , 2015, Current opinion in plant biology.

[21]  C. Airoldi,et al.  MAF2 Is Regulated by Temperature-Dependent Splicing and Represses Flowering at Low Temperatures in Parallel with FLM , 2015, PloS one.

[22]  M. Kayan,et al.  Seed Dormancy , 2011, Methods in Molecular Biology.

[23]  P. De Vita,et al.  Alternative splicing: enhancing ability to cope with stress via transcriptome plasticity. , 2012, Plant science : an international journal of experimental plant biology.

[24]  B. Blencowe Alternative Splicing: New Insights from Global Analyses , 2006, Cell.

[25]  Richard Smith-Unna,et al.  TransRate: reference free quality assessment of de-novo transcriptome assemblies , 2015 .

[26]  Jing Zhang,et al.  Erratum to: The real cost of sequencing: scaling computation to keep pace with data generation , 2016, Genome Biology.

[27]  Gael P. Alamancos,et al.  Methods to study splicing from high-throughput RNA sequencing data. , 2013, Methods in molecular biology.

[28]  Lior Pachter,et al.  Near-optimal probabilistic RNA-seq quantification , 2016, Nature Biotechnology.

[29]  Hongfang Liu,et al.  Single-molecule real-time transcript sequencing facilitates common wheat genome annotation and grain transcriptome research , 2015, BMC Genomics.

[30]  W. Barbazuk,et al.  Genome-Wide Identification of Evolutionarily Conserved Alternative Splicing Events in Flowering Plants , 2015, Front. Bioeng. Biotechnol..

[31]  Gregory R. Grant,et al.  Benchmark analysis of algorithms for determining and quantifying full-length mRNA splice forms from RNA-seq data , 2015, Bioinform..

[32]  Joachim Messing,et al.  PacBio sequencing of gene families - a case study with wheat gluten genes. , 2014, Gene.

[33]  J. Harrow,et al.  Assessment of transcript reconstruction methods for RNA-seq , 2013, Nature Methods.

[34]  Gael P. Alamancos,et al.  Leveraging transcript quantification for fast computation of alternative splicing profiles , 2015, bioRxiv.

[35]  Yamile Marquez,et al.  Complexity of the Alternative Splicing Landscape in Plants[C][W][OPEN] , 2013, Plant Cell.

[36]  S. Salzberg,et al.  StringTie enables improved reconstruction of a transcriptome from RNA-seq reads , 2015, Nature Biotechnology.

[37]  F. Picó,et al.  Arabidopsis thaliana populations show clinal variation in a climatic gradient associated with altitude. , 2011, The New phytologist.

[38]  John W. S. Brown,et al.  Alternative Splicing at the Intersection of Biological Timing, Development, and Stress Responses[OPEN] , 2013, Plant Cell.

[39]  B. Graveley,et al.  Determining exon connectivity in complex mRNAs by nanopore sequencing , 2015, Genome Biology.

[40]  M. Tress,et al.  Alternative Splicing , 2019, Encyclopedia of Biophysics.

[41]  F. Thibaud-Nissen,et al.  Araport11: a complete reannotation of the Arabidopsis thaliana reference genome , 2016, bioRxiv.

[42]  G. Barton,et al.  Direct Sequencing of Arabidopsis thaliana RNA Reveals Patterns of Cleavage and Polyadenylation , 2012, Nature Structural &Molecular Biology.

[43]  E. Eyras,et al.  AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana , 2015, The New phytologist.

[44]  John W. S. Brown,et al.  Monitoring changes in alternative precursor messenger RNA splicing in multiple gene transcripts. , 2007, The Plant journal : for cell and molecular biology.