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Genetic mapping and identification of genetic and functional molecular markers associated with agronomic characteristics of interest in sugarcane

Abstract

In Brazil, the sugarcane agribusiness turns over around R$ 36 billion each year. The mapping of QTLs relating to sugar levels and the components of production (number of profiles, diameter and height of stalks) is of great importance to sugarcane improvement. Sucest has enabled the development of functional markers for the genetic mapping. Such markers are ideal for assisted selection, given that these markers may be responsible for the characteristic in question. The present project aims to initiate a program of genetic mapping for the Cana IAC program. Molecular markers of the AFLP type, genomic and functional microsatellites (EST-SSRs) with homology to genes of interest will be used for the construction of a genetic map starting from a biparental crossing, between elite materials of the program. It is intended to detect and map QTLs associated with sugar levels and to the components of production and to verify the association of RFLPsPCRs markers developed from ESTs corresponding to genes expressed during the interaction with Puccinia melanocephala, with resistance to rust. The construction of this genetic map will assist in the validation of the genomic and functional markers associated with agronomic characteristics of interest identified in other sugarcane maps, giving support in the application of these markers for assisted selection. (AU)

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Scientific publications (7)
(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)
COSTA, E. A.; ANONI, C. O.; MANCINI, M. C.; SANTOS, F. R. C.; MARCONI, T. G.; GAZAFFI, R.; PASTINA, M. M.; PERECIN, D.; MOLLINARI, M.; XAVIER, M. A.; et al. QTL mapping including codominant SNP markers with ploidy level information in a sugarcane progeny. EUPHYTICA, v. 211, n. 1, p. 1-16, . (10/06715-3, 05/55258-6, 08/52197-4, 08/57908-6)
DOS SANTOS, FERNANDA R. C.; ZUCCHI, MARIA I.; PARK, JONG-WON; BENATTI, THIAGO R.; DA SILVA, JORGE A.; SOUZA, GLAUCIA M.; LANDELL, MARCOS G. A.; PINTO, LUCIANA R.. New Sugarcane Microsatellites and Target Region Amplification Polymorphism Primers Designed from Candidate Genes Related to Disease Resistance. SUGAR TECH, v. 19, n. 2, p. 219-224, . (05/55258-6, 08/52146-0)
MANCINI, M. C.; LEITE, D. C.; PERECIN, D.; BIDOIA, M. A. P.; XAVIER, M. A.; LANDELL, M. G. A.; PINTO, L. R.. Characterization of the Genetic Variability of a Sugarcane Commercial Cross Through Yield Components and Quality Parameters. SUGAR TECH, v. 14, n. 2, p. 119-125, . (05/55258-6)
SANTOS, FERNANDA R. C.; PINTO, LUCIANA R.; CARLINI-GARCIA, LUCIANA A.; GAZAFFI, RODRIGO; MANCINI, MELINA C.; GONCALVES, BRUNA S.; MEDEIROS, CIBELE N. F.; PERECIN, DILERMANDO; GARCIA, ANTONIO A. F.; SOUZA, ANETE P.; et al. Marker-trait association and epistasis for brown rust resistance in sugarcane. EUPHYTICA, v. 203, n. 3, p. 533-547, . (05/55258-6)
PINTO, L. R.; LEITE, D. C.; FAVERO, T. M.; PASTINA, M. M.; GARCIA, A. A. F.; PERECIN, D.; GONCALVES, B. S.; CRESTE, S.; XAVIER, M. A.; BIDOIA, M. A. P.; et al. Identification of microsatellites markers associated with yield components and quality parameters in sugarcane. INTERNATIONAL SUGAR JOURNAL, v. 113, n. 1346, p. 140-144, . (05/55258-6)
AONO, ALEXANDRE HILD; GONZAGA PIMENTA, RICARDO JOSE; BASSO GARCIA, ANA LETYCIA; CORRER, FERNANDO HENRIQUE; HOSAKA, GUILHERME KENICHI; CARRASCO, MARISHANI MARIN; CARDOSO-SILVA, CLAUDIO BENICIO; MANCINI, MELINA CRISTINA; SFORCA, DANILO AUGUSTO; DOS SANTOS, LUCAS BORGES; et al. The Wild Sugarcane and Sorghum Kinomes: Insights Into Expansion, Diversification, and Expression Patterns. FRONTIERS IN PLANT SCIENCE, v. 12, . (14/11482-9, 18/18588-8, 19/03232-6, 15/22993-7, 15/16399-5, 08/52197-4, 19/21682-9, 05/55258-6, 19/19340-2)
AONO, ALEXANDRE HILD; COSTA, ESTELA ARAUJO; SILVA RODY, HUGO VIANNA; NAGAI, JAMES SHINITI; GONZAGA PIMENTA, RICARDO JOSE; MANCINI, MELINA CRISTINA; CAMILO DOS SANTOS, FERNANDA RAQUEL; PINTO, LUCIANA ROSSINI; DE ANDRADE LANDELL, MARCOS GUIMARAES; DE SOUZA, ANETE PEREIRA; et al. Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance. SCIENTIFIC REPORTS, v. 10, n. 1, . (18/18588-8, 05/55258-6, 14/11482-9, 08/52197-4, 19/03232-6)

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