Transcriptome and genomic sequences analysis of commercial sugarcane varieties

Author(s)

Cláudio Benício Cardoso Silva

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Instituto de Biologia
• Defense date: 2015-02-25

Examining board members

Anete Pereira de Souza; Maurício Egídio Cantão; Reginaldo Massanobu Kuroshu; Gabriel Rodrigues Alves Margarido; Claudia Barros Monteiro Vitorello

• Advisor: Anete Pereira de Souza

Abstract

The sugarcane is one of the most economically important species in the world, due to their energy potential. However, high level of genetic complexity has been a major challenge for the use of molecular tools applied to improvement of this crop. Recent advances in sequencing and genotyping technologies indicate the potential to increase our understanding of the genetics and molecular biology of this specie. The genomic and transcriptomic are valuable sources of information for the molecular tools development that allow identification of regions in the genome that are related to characteristics of interest for the improvement. The high-throughput sequencing technologies have great impact of this research. This thesis aimed to analyze the transcriptome of six commercial varieties and genomic sequencing from R570 variety, in order to identify genes potentially useful for the molecular markers development. From RNA-Seq method were generated over 400 million sequences, which allowed obtain a total of 72,268 transcripts representing a single isoform assembled by Trinity. These transcripts were aligned against Viridiplantae, grasses, and exclusively against sorghum, rice and maize proteins, and sugarcane transcriptome available in the public database. This analysis allowed identifying a set of shared genes with other grasses, new transcripts that had not yet been cataloged for sugarcane and long non-coding RNAs. The transcripts were also annotated using the COG (Cluster of Orthologous Groups) and GO (Gene Ontology) database, followed by enrichment analysis for GO terms, from which it was possible to identify genes that play roles, possibly related to traits of agronomic importance. In the transcriptome were identified over 700 thousands SNPs and five thousands microsatellites regions. In the genomic sequences from R570 variety, in a total of 32 Mbp were identified 4,342 microsatellites, with an average frequency of seven SSR / Kb. The sequences generated and explored in this work is a valuable source to understand the genetic architecture of the sugarcane, mainly for molecular markers development, which can be used in genetic mapping (AU)

• FAPESP's process: 12/11109-0 - In silico analysis of transcriptome and genome sequences in sugarcane: SNPs identification, allele specific expression analysis and, development and characterization of microsatellite markers
• Grantee: Cláudio Benício Cardoso da Silva
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)