dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade de São Paulo (USP)
dc.date.accessioned2014-05-20T13:17:42Z
dc.date.accessioned2022-10-05T12:47:10Z
dc.date.available2014-05-20T13:17:42Z
dc.date.available2022-10-05T12:47:10Z
dc.date.created2014-05-20T13:17:42Z
dc.date.issued2009-01-01
dc.identifierGenetics and Molecular Biology. Ribeirao Pret: Soc Brasil Genetica, v. 32, n. 2, p. 340-353, 2009.
dc.identifier1415-4757
dc.identifierhttp://hdl.handle.net/11449/4066
dc.identifierS1415-47572009000200022
dc.identifierWOS:000266281300022
dc.identifierS1415-47572009000200022-en.pdf
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3881708
dc.description.abstractXylella fastidiosa genome sequencing has generated valuable data by identifying genes acting either on metabolic pathways or in associated pathogenicity and virulence. Based on available information on these genes, new strategies for studying their expression patterns, such as microarray technology, were employed. A total of 2,600 primer pairs were synthesized and then used to generate fragments using the PCR technique. The arrays were hybridized against cDNAs labeled during reverse transcription reactions and which were obtained from bacteria grown under two different conditions (liquid XDM(2) and liquid BCYE). All data were statistically analyzed to verify which genes were differentially expressed. In addition to exploring conditions for X. fastidiosa genome-wide transcriptome analysis, the present work observed the differential expression of several classes of genes (energy, protein, amino acid and nucleotide metabolism, transport, degradation of substances, toxins and hypothetical proteins, among others). The understanding of expressed genes in these two different media will be useful in comprehending the metabolic characteristics of X. fastidiosa, and in evaluating how important certain genes are for the functioning and survival of these bacteria in plants.
dc.languageeng
dc.publisherSoc Brasil Genetica
dc.relationGenetics and Molecular Biology
dc.relation1.493
dc.relation0,638
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectXylella fastidiosa
dc.subjectDNA microarray
dc.subjectGene expression
dc.titleXylella fastidiosa gene expression analysis by DNA microarrays
dc.typeArtigo


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