De novo sequencing and comprehensive analysis of the mutant transcriptome from purple sweet potato (Ipomoea batatas L.)

Gene. 2016 Jan 10;575(2 Pt 3):641-9. doi: 10.1016/j.gene.2015.09.056. Epub 2015 Sep 26.

Abstract

Purple sweet potatoes, rich in anthocyanin, have been widely favored in light of increasing awareness of health and food safety. In this study, a mutant of purple sweet potato (white peel and flesh) was used to study anthocyanin metabolism by high-throughput RNA sequencing and comparative analysis of the mutant and wild type transcriptomes. A total of 88,509 unigenes ranging from 200nt to 14,986nt with an average length of 849nt were obtained. Unigenes were assigned to Gene Ontology (GO), Clusters of Orthologous Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Functional enrichment using GO and KEGG annotations showed that 3828 of the differently expressed genes probably influenced many important biological and metabolic pathways, including anthocyanin biosynthesis. Most importantly, the structural and transcription factor genes that contribute to anthocyanin biosynthesis were downregulated in the mutant. The unigene dataset that was used to discover the anthocyanin candidate genes can serve as a comprehensive resource for molecular research in sweet potato.

Keywords: Anthocyanin; Gene expression; Mutant; Sweet potato; Transcriptome.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anthocyanins / biosynthesis*
  • Databases, Genetic
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Plant
  • Gene Ontology
  • High-Throughput Nucleotide Sequencing
  • Ipomoea batatas / chemistry
  • Ipomoea batatas / classification
  • Ipomoea batatas / genetics*
  • Molecular Sequence Annotation
  • Mutation*
  • Plant Proteins / genetics*
  • Plant Proteins / metabolism
  • Sequence Analysis, RNA / methods*
  • Transcription Factors / genetics
  • Transcription Factors / metabolism

Substances

  • Anthocyanins
  • Plant Proteins
  • Transcription Factors