In silico analysis of transcriptome and genome sequences in sugarcane: SNPs identification, allele specific expression analysis and, development and characterization of microsatellite markers

• Grant number: 12/11109-0
• Support type: Scholarships in Brazil - Doctorate (Direct)
• Effective date (Start): August 01, 2012
• Effective date (End): January 31, 2015
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Principal Investigator: Anete Pereira de Souza
• Grantee: Cláudio Benício Cardoso da Silva
• Home Institution: Centro de Biologia Molecular e Engenharia Genética (CBMEG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 08/52197-4 - Genomic-assisted breeding of sugarcane: using molecular markers for understanding the genetic architecture of quantitative traits and to implement marker assisted selection, AP.BIOEN.TEM

Abstract

The sugarcane to be among the species most important economically in the world, have been a major source of sugar and alcohol production. The development of genetic markers, specific PCR, as the microsatellite (SSR) and SNPs, can generate information that will help the sugarcane breeding programs. This project proposes the continuation of work that began with the development of microsatellite markers from expressed sequence ESTs (EST-SSR) and genomics markers transcripts-associated. So far, 65 have been developed and characterized EST-SSR markers, which were published (Marconi et al., 2011) along with other markers previously characterized. Besides these, 326 were further developed SSR genomic, which were identified as being associated with a gene of sugarcane. For the continuity of this project, we propose the analysis of the transcriptome, using the RNA-Seq technology to transcripts mapping into six parents of three mapping populations in our laboratory. In order to identify differentially expressed transcripts, and subsequent identification of SNPs for these sequences. Furthermore, it is proposed that a study is designed to detect allele-specific expression. To implement this project, and all the support offered by the laboratory where the research will be carried out, it still is co-supervision with Dr. Renato Vicentini, which assists in the analysis of bioinformatics (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BARRETO, M. A.; ROSA, J. R. B. F.; HOLANDA, I. S. A.; CARDOSO-SILVA, C. B.; VILDOSO, C. I. A.; AHNERT, D.; SOUZA, M. M.; CORREA, R. X.; ROYAERT, S.; MARELLI, J.; SANTOS, E. S. L.; LUZ, E. D. M. N.; GARCIA, A. A. F.; SOUZA, A. P. QTL mapping and identification of corresponding genomic regions for black pod disease resistance to three Phytophthora species in Theobroma cacao L.. EUPHYTICA, v. 214, n. 10 OCT 2018. Web of Science Citations: 1.

ALMEIDA BALSALOBRE, THIAGO WILLIAN; PEREIRA, GUILHERME DA SILVA; ALVES MARGARIDO, GABRIEL RODRIGUES; GAZAFFI, RODRIGO; BARRETO, FERNANDA ZATTI; ANONI, CARINA OLIVEIRA; CARDOSO-SILVA, CLAUDIO BENICIO; COSTA, ESTELA ARAUJO; MANCINI, MELINA CRISTINA; HOFFMANN, HERMANN PAULO; DE SOUZA, ANETE PEREIRA; FRANCO GARCIA, ANTONIO AUGUSTO; CARNEIRO, MONALISA SAMPAIO. GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics, v. 18, JAN 11 2017. Web of Science Citations: 22.

MANTELLO, CAMILA CAMPOS; CARDOSO-SILVA, CLAUDIO BENICIO; DA SILVA, CARLA CRISTINA; DE SOUZA, LIVIA MOURA; SCALOPPI JUNIOR, ERIVALDO JOSE; GONCALVES, PAULO DE SOUZA; VICENTINI, RENATO; DE SOUZA, ANETE PEREIRA. De Novo Assembly and Transcriptome Analysis of the Rubber Tree (Hevea brasiliensis) and SNP Markers Development for Rubber Biosynthesis Pathways. PLoS One, v. 9, n. 7 JUL 21 2014. Web of Science Citations: 39.