Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing

Zea mays is an important genetic model for elucidating transcriptional networks. Uncertainties about the complete structure of mRNA transcripts limit the progress of research in this system. Here, using single-molecule sequencing technology, we produce 111,151 transcripts from 6 tissues capturing ∼70% of the genes annotated in maize RefGen_v3 genome. A large proportion of transcripts (57%) represent novel, sometimes tissue-specific, isoforms of known genes and 3% correspond to novel gene loci. In other cases, the identified transcripts have improved existing gene models. Averaging across all six tissues, 90% of the splice junctions are supported by short reads from matched tissues. In addition, we identified a…

• NS
  National Science Foundation

  Awards: 1238014, 1032105
• UD
  U.S. Department of Agriculture

  Awards: 1907-21000-030-00D, USDA ARS CRIS 1907-21000-030-00D
• AR
  Agricultural Research Service