Next-generation sequencing technology for genetics and genomics of sorghum

Hong Luo, Anne Raymonde Joelle Mocoeur, Hai-Chun Jing

1 Citation (Scopus)

Abstract

The invention and application of Next-Generation Sequencing (NGS) technolgies have revolutionized the study of genetics and genomics. Much research which would not even be considered are nowdays being excuted in many laboratories as routine. In this chapter, we introduce the curretly available NGS platforms, comparing their working theories and reveiwing their advantages and disadvatages. We also discuss the future of NGS development and point out that single molecular sequencing would push the technology to the next level for biological sciences. Much of the chapter focuses on the use of NGS technologies in sorghum. Although the acqusition of the first whole-genome sequence in sorghum was carried out primarily using Sanger sequencing, the use of NGS for examining the genome-wide variation was almost synchronized with other work. Interesting genomic variation was found between sweet and grain sorghum. NGS has also been used to examine the transcriptomes of sorghum under various stress conditions. Besides identifying interesting transcriptonal adptation to stress conditions, these studies show that sugar could potentially act as an osmitc adjusting factor via transcriptional regulation. Furthermore, miRNAs are found to be important for transcriptional adaptation to both biotic and abiotic stresses in sorghum. We discuss the use of NGS for further genetic improvement and breeding of sorghum.

Original languageEnglish
Title of host publicationGenetics, genomics and breeding of sorghum
EditorsYi-Hong Wang, Hari D. Upadhyaya, Chittaranjan Kole
Number of pages25
PublisherCRC Press
Publication date1 Jan 2014
Pages226-250
Chapter10
ISBN (Print)978-1-4822-1008-8
ISBN (Electronic)978-1-4822-1009-5
Publication statusPublished - 1 Jan 2014

Keywords

  • Former LIFE faculty
  • Sorghum bicolour L.; Quality Declared Seed System
  • Next generation sequencing
  • Genetic
  • genomic variation
  • molecular breeding
  • biofuel-associated traits
  • Association analysis

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