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Allelic variation analysis in genes of economic importance among hom(oe)ologous regions of sugarcane (Saccharum spp.) genome

Grant number: 15/24346-9
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): March 01, 2016
Effective date (End): November 23, 2019
Field of knowledge:Agronomical Sciences - Agronomy - Crop Science
Principal researcher:Anete Pereira de Souza
Grantee:Carla Cristina da Silva
Home Institution: Centro de Biologia Molecular e Engenharia Genética (CBMEG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Sugarcane plantation bears a high economic importance, due to sugar and ethanol production, and Brazil is world's major producer of sugarcane. Modern sugarcane cultivars are interspecific hybrids (Saccharum officinarum x S. spontaneum), with polyploid and aneuploid genomes, making it difficult to construct genetic maps and to detect QTLs (Quantitative Trait Loci). The knowledge of the variations in the nucleotide sequences of different alleles enables information achievement of inter and intra genotypes variation within a species. An efficient technique to access allelic variation between homologous loci in a species is the sequencing of BAC (Bacterial Artificial Chromosomes) clones bearing specific genic loci of interest. Thereby, this project aims to discover and analyze allelic polymorphisms among sugarcane hom(oe)ologous chromosomic regions and compare their allelic organization, using genes that encode for a DnaJ and a Trehalose-6-phosphate synthase/phosphatase proteins. SNPs (Single Nucleotide Polymorphisms) identified will be used to evaluate the expression of specific haplotypes and can be integrated in genetic maps that are being developed. The analysis of these regions combined with FISH (Fluorescent in Situ Hybridization) technique will allow the physical localization of the genes. In sugarcane the identification of specific allelic expression may explain the expression mechanisms of each allele dose. (AU)

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Scientific publications (5)
(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)
GONZAGA PIMENTA, RICARDO JOSE; AONO, ALEXANDRE HILD; VILLAVICENCIO BURBANO, ROBERTO CARLOS; COUTINHO, ALISSON ESDRAS; DA SILVA, CARLA CRISTINA; ANTONIO DOS ANJOS, IVAN; PERECIN, DILERMANDO; DE ANDRADE LANDELL, MARCOS GUIMARAES; GONCALVES, MARCOS CESAR; PINTO, LUCIANA ROSSINI; DE SOUZA, ANETE PEREIRA. Genome-wide approaches for the identification of markers and genes associated with sugarcane yellow leaf virus resistance. SCIENTIFIC REPORTS, v. 11, n. 1 AUG 3 2021. Web of Science Citations: 1.
DE OLIVEIRA, FERNANDA A.; VIGNA, BIANCA B. Z.; DA SILVA, CARLA C.; FAVERO, ALESSANDRA P.; DE MATTA, FREDERICO P.; AZEVEDO, ANA L. S.; DE SOUZA, ANETE P. Coexpression and Transcriptome analyses identify active Apomixis-related genes in Paspalum notatum leaves. BMC Genomics, v. 21, n. 1 JAN 28 2020. Web of Science Citations: 0.
CRUZ, MARIANA VARGAS; MORI, GUSTAVO MARUYAMA; SIGNORI-MULLER, CAROLINE; DA SILVA, CARLA CRISTINA; OH, DONG-HA; DASSANAYAKE, MAHESHI; ZUCCHI, MARIA IMACULADA; OLIVEIRA, RAFAEL SILVA; DE SOUZA, ANETE PEREIRA. Local adaptation of a dominant coastal tree to freshwater availability and solar radiation suggested by genomic and ecophysiological approaches. SCIENTIFIC REPORTS, v. 9, DEC 27 2019. Web of Science Citations: 1.
MANTELLO, CAMILA CAMPOS; BOATWRIGHT, LUCAS; DA SILVA, CARLA CRISTINA; SCALOPPI, ERIVALDO JOSE; GONCALVES, PAULO DE SOUZA; BARBAZUK, W. BRAD; DE SOUZA, ANETE PEREIRA. Deep expression analysis reveals distinct cold-response strategies in rubber tree (Hevea brasiliensis). BMC Genomics, v. 20, JUN 4 2019. Web of Science Citations: 0.
CONSON, ANDRE R. O.; TANIGUTI, CRISTIANE H.; AMADEU, RODRIGO R.; ANDREOTTI, ISABELA A. A.; DE SOUZA, LIVIA M.; DOS SANTOS, LUCIANO H. B.; ROSA, JOAO R. B. F.; MANTELLO, CAMILA C.; DA SILVA, CARLA C.; SCALOPPI JUNIOR, ERIVALDO JOSE; RIBEIRO, RAFAEL V.; LE GUEN, VINCENT; GARCIA, ANTONIO A. F.; GONCALVES, PAULO DE SOUZA; DE SOUZA, ANETE P. High-Resolution Genetic Map and QTL Analysis of Growth-Related Traits of Hevea brasiliensis Cultivated Under Suboptimal Temperature and Humidity Conditions. FRONTIERS IN PLANT SCIENCE, v. 9, AUG 24 2018. Web of Science Citations: 4.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.