Advanced search
Start date
Betweenand

System biology techniques applied to the agriculture: transcriptomes and interactomes analyses

Abstract

This project intends to implement high-throughput Computational Biology techniques into the Plant Molecular Biology Laboratory at ESALQ/USP to transcriptome and interactome analysis. The first approach will attempt to deal with all the Bioinformatics involved in the transcriptome analyses, with data derived from microarray or cDNA fragments sequencing. Other will encompass graph analyses to identify protein-protein interactions clusters using AtPIN - Arabidopsis thaliana Protein Interactions Network - and the expression profile from the proposed transcriptomes. The aim of this work is to combine this two research lines to produce a solid dataset of information regarding the metabolic mechanisms of insects with agriculture interest. Especially, identify genes related to the insect capacity to dodge the plant herbivory chemical defense. Besides the academic relevance, the results should subsidize and increase the available data on expression, protein interactions, phylogeny and possible targets of study to explain the intricate mechanisms involved in the relationships between insects and plants as well as strengthen and advance the line of research in Bioinformatics Computational Biology and applied studies in Systems Biology at the host institution. (AU)

Articles published in Pesquisa FAPESP Magazine about the research grant:
La estructura matemática del ADN 
The mathematical structure of DNA 

Scientific publications (13)
(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)
SILVA-BRANDAO, KARINA LUCAS; MURAD, NATALIA FARAJ; PERUCHI, ALINE; MARTINS, CARLOS HENRIQUE ZANINI; OMOTO, CELSO; FIGUEIRA, ANTONIO; BRANDAO, MARCELO MENDES; TRIGO, JOSE ROBERTO. Transcriptome differential co-expression reveals distinct molecular response of fall-armyworm strains toDIMBOA. Pest Management Science, v. 77, n. 1 SEP 2020. Web of Science Citations: 0.
MASSARDO, DARLI; VANKUREN, NICHOLAS W.; NALLU, SUMITHA; RAMOS, RENATO R.; RIBEIRO, PEDRO G.; SILVA-BRANDAO, KARINA L.; BRANDAO, MARCELO M.; LION, MARILIA B.; FREITAS, ANDRE V. L.; CARDOSO, MARCIO Z.; KRONFORST, MARCUS R. The roles of hybridization and habitat fragmentation in the evolution of Brazil's enigmatic longwing butterflies, Heliconius nattereri and H. hermathena. BMC Biology, v. 18, n. 1 JUL 3 2020. Web of Science Citations: 0.
BAJAY, STEPHANIE K.; CRUZ, MARIANA V.; DA SILVA, CARLA C.; MURAD, NATALIA F.; BRANDAO, MARCELO M.; DE SOUZA, ANETE P. Extremophiles as a Model of a Natural Ecosystem: Transcriptional Coordination of Genes Reveals Distinct Selective Responses of Plants Under Climate Change Scenarios. FRONTIERS IN PLANT SCIENCE, v. 9, SEP 19 2018. Web of Science Citations: 0.
SILVA-BRANDAO, KARINA LUCAS; PERUCHI, ALINE; SERAPHIM, NOEMY; MURAD, NATALIA FARAJ; CARVALHO, RENATO ASSIS; FARIAS, JULIANO RICARDO; OMOTO, CELSO; CONSOLI, FERNANDO LUIS; FIGUEIRA, ANTONIO; BRANDAO, MARCELO MENDES. Loci under selection and markers associated with host plant and host-related strains shape the genetic structure of Brazilian populations of Spodoptera frugiperda (Lepidoptera, Noctuidae). PLoS One, v. 13, n. 5 MAY 22 2018. Web of Science Citations: 0.
CRIVELENTE HORTA, MARIA AUGUSTA; FERREIRA FILHO, JAIRE ALVES; MURAD, NATALIA FARAJ; SANTOS, EIDY DE OLIVEIRA; DOS SANTOS, CLELTON APARECIDO; MENDES, JULIANO SALES; BRANDAO, MARCELO MENDES; AZZONI, SINDELIA FREITAS; DE SOUZA, ANETE PEREIRA. Network of proteins, enzymes and genes linked to biomass degradation shared by Trichoderma species. SCIENTIFIC REPORTS, v. 8, JAN 22 2018. Web of Science Citations: 5.
SILVA-BRANDAO, KARINA LUCAS; HORIKOSHI, RENATO JUN; BERNARDI, DANIEL; OMOTO, CELSO; FIGUEIRA, ANTONIO; BRANDAO, MARCELO MENDES. Transcript expression plasticity as a response to alternative larval host plants in the speciation process of corn and rice strains of Spodoptera frugiperda. BMC Genomics, v. 18, OCT 16 2017. Web of Science Citations: 4.
SPERLING, JANET L.; SILVA-BRANDAO, K. L.; BRANDAO, M. M.; LLOYD, V. K.; DANG, S.; DAVIS, C. S.; SPERLING, F. A. H.; MAGOR, K. E. Comparison of bacterial 16S rRNA variable regions for microbiome surveys of ticks. TICKS AND TICK-BORNE DISEASES, v. 8, n. 4, p. 453-461, 2017. Web of Science Citations: 12.
SOUZA, THAIS P.; DIAS, RENATA O.; CASTELHANO, ELAINE C.; BRANDAO, MARCELO M.; MOURA, DANIEL S.; SILVA-FILHO, MARCIO C. Comparative analysis of expression profiling of the trypsin and chymotrypsin genes from Lepidoptera species with different levels of sensitivity to soybean peptidase inhibitors. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY B-BIOCHEMISTRY & MOLECULAR BIOLOGY, v. 196, p. 67-73, JUN-JUL 2016. Web of Science Citations: 4.
BRANDAO, MARCELO M.; SPOLADORE, LARISSA; FARIA, LUZINETE C. B.; ROCHA, ANDREA S. L.; SILVA-FILHO, MARCIO C.; PALAZZO, JR., REGINALDO. Ancient DNA sequence revealed by error-correcting codes. SCIENTIFIC REPORTS, v. 5, JUL 10 2015. Web of Science Citations: 2.
SILVA-BRANDAO, KARINA LUCAS; BATISTA NETO E SILVA, OSCAR ARNALDO; BRANDAO, MARCELO MENDES; OMOTO, CELSO; SPERLING, FELIX A. H. Genotyping-by-sequencing approach indicates geographic distance as the main factor affecting genetic structure and gene flow in Brazilian populations of Grapholita molesta (Lepidoptera, Tortricidae). EVOLUTIONARY APPLICATIONS, v. 8, n. 5, p. 476-485, JUN 2015. Web of Science Citations: 13.
DIAS, RENATA O.; VIA, ALLEGRA; BRANDAO, MARCELO M.; TRAMONTANO, ANNA; SILVA-FILHO, MARCIO C. Digestive peptidase evolution in holometabolous insects led to a divergent group of enzymes in Lepidoptera. Insect Biochemistry and Molecular Biology, v. 58, p. 1-11, MAR 2015. Web of Science Citations: 5.
PICCIN-SANTOS, VIVIANE; BRANDAO, MARCELO MENDES; BITTENCOURT-OLIVEIRA, MARIA DO CARMO. PHYLOGENETIC STUDY OF GEITLERINEMA AND MICROCYSTIS ( CYANOBACTERIA) USING PC-IGS AND 16S-23S ITS AS MARKERS: INVESTIGATION OF HORIZONTAL GENE TRANSFER. JOURNAL OF PHYCOLOGY, v. 50, n. 4, p. 736-743, AUG 2014. Web of Science Citations: 3.
BROWER, ANDREW V. Z.; WILLMOTT, KEITH R.; SILVA-BRANDAO, KARINA L.; GARZON-ORDUNA, IVONNE J.; FREITAS, ANDRE V. L. Phylogenetic relationships of ithomiine butterflies (Lepidoptera: Nymphalidae: Danainae) as implied by combined morphological and molecular data. SYSTEMATICS AND BIODIVERSITY, v. 12, n. 2, p. 133-147, 2014. Web of Science Citations: 10.

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