title: Polyribosomal RNA-Seq reveals the decreased complexity and diversity of the Arabidopsis translatome.
abstract: Recent RNA-seq studies reveal that the transcriptomes in animals and plants are more complex than previously thought, leading to the inclusion of many more splice isoforms in annotated genomes. However, it is possible that a significant proportion of the transcripts are spurious isoforms that do not contribute to functional proteins. One of the current hypotheses is that commonly used mRNA extraction methods isolate both pre-mature (nuclear) mRNA and mature (cytoplasmic) mRNA, and these incompletely spliced pre-mature mRNAs may contribute to a large proportion of these spurious transcripts. To investigate this, we compared a traditional RNA-seq dataset (total RNA-seq) and a ribosome-bound RNA-seq dataset (polyribosomal RNA-seq) from Arabidopsis thaliana. An integrative framework that combined de novo assembly and genome-guided assembly was applied to reconstruct transcriptomes for the two datasets. Up to 44.8% of the de novo assembled transcripts in total RNA-seq sample were of low abundance, whereas only 0.09% in polyribosomal RNA-seq de novo assembly were of low abundance. The final round of assembly using PASA (Program to Assemble Spliced Alignments) resulted in more transcript assemblies in the total RNA-seq than those in polyribosomal sample. Comparison of alternative splicing (AS) patterns between total and polyribosomal RNA-seq showed a significant difference (G-test, p-value<0.01) in intron retention events: 46.4% of AS events in the total sample were intron retention, whereas only 23.5% showed evidence of intron retention in the polyribosomal sample. It is likely that a large proportion of retained introns in total RNA-seq result from incompletely spliced pre-mature mRNA. Overall, this study demonstrated that polyribosomal RNA-seq technology decreased the complexity and diversity of the coding transcriptome by eliminating pre-mature mRNAs, especially those of low abundance.
authors.affiliation: J. Craig Venter Institute, Rockville, Maryland, United States of America; School of Life Sciences, Chongqing University, Chongqing, China.
authors.forename: Xingtan
authors.initials: X
authors.lastname: Zhang
authors.affiliation: J. Craig Venter Institute, Rockville, Maryland, United States of America.
authors.forename: Benjamin D
authors.initials: BD
authors.lastname: Rosen
authors.affiliation: J. Craig Venter Institute, Rockville, Maryland, United States of America.
authors.forename: Haibao
authors.initials: H
authors.lastname: Tang
authors.affiliation: J. Craig Venter Institute, Rockville, Maryland, United States of America.
authors.forename: Vivek
authors.initials: V
authors.lastname: Krishnakumar
authors.affiliation: J. Craig Venter Institute, Rockville, Maryland, United States of America.
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Town
mesh_terms: D017398:Alternative Splicing / Q000235:genetics; D017360:Arabidopsis / Q000235:genetics*; D029681:Arabidopsis Proteins / Q000235:genetics; D014644:Genetic Variation / Q000235:genetics*; D007438:Introns / Q000235:genetics; D011132:Polyribosomes / Q000235:genetics*; D012333:RNA, Messenger / Q000235:genetics*; D018749:RNA, Plant / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods; D059467:Transcriptome / Q000235:genetics*
chemical_list: D029681:Arabidopsis Proteins; D012333:RNA, Messenger; D018749:RNA, Plant