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1.
BMC Genomics ; 20(1): 554, 2019 Jul 05.
Article in English | MEDLINE | ID: mdl-31277573

ABSTRACT

BACKGROUND: Citrus are among the most important crops in the world. However, there are many diseases that affect Citrus caused by different pathogens. Citrus also hosts many symbiotic microorganisms in a relationship that may be advantageous for both organisms. The fungi Phyllosticta citricarpa, responsible for citrus black spot, and Phyllosticta capitalensis, an endophytic species, are examples of closely related species with different behavior in citrus. Both species are always biologically associated and are morphologically very similar, and comparing their genomes could help understanding the different lifestyles. In this study, a comparison was carried to identify genetic differences that could help us to understand the biology of P. citricarpa and P. capitalensis. RESULTS: Drafts genomes were assembled with sizes close to 33 Mb for both fungi, carrying 15,206 and 14,797 coding sequences for P. citricarpa and P. capitalensis, respectively. Even though the functional categories of these coding sequences is similar, enrichment analysis showed that the pathogenic species presents growth and development genes that may be necessary for the pathogenicity of P. citricarpa. On the other hand, family expansion analyses showed the plasticity of the genome of these species. Particular families are expanded in the genome of an ancestor of P. capitalensis and a recent expansion can also be detected among this species. Additionally, evolution could be driven by environmental cues in P. citricarpa. CONCLUSIONS: This work demonstrated genomic differences between P. citricarpa and P. capitalensis. Although the idea that these differences could explain the different lifestyles of these fungi, we were not able to confirm this hypothesis. Genome evolution seems to be of real importance among the Phyllosticta isolates and it is leading to different biological characteristics of these species.


Subject(s)
Ascomycota/genetics , Ascomycota/pathogenicity , Citrus/microbiology , Genome, Plant , Phylogeny , Endophytes/genetics , Enzymes/genetics , Enzymes/metabolism , Fungal Proteins/genetics , Fungal Proteins/metabolism , Genomics , Host-Pathogen Interactions/genetics , Plant Diseases/microbiology
2.
BMC Genomics ; 16: 288, 2015 Apr 12.
Article in English | MEDLINE | ID: mdl-25887907

ABSTRACT

BACKGROUND: Resistance inducers have been used in annual crops as an alternative for disease control. Wood perennial fruit trees, such as those of the citrus species, are candidates for treatment with resistance inducers, such as salicylic acid (SA) and chitosan (CHI). However, the involved mechanisms in resistance induced by elicitors in citrus are currently few known. RESULTS: In the present manuscript, we report information regarding the transcriptional changes observed in sweet orange in response to exogenous applications of SA and CHI using RNA-seq technology. More genes were induced by SA treatment than by CHI treatment. In total, 1,425 differentially expressed genes (DEGs) were identified following treatment with SA, including the important genes WRKY50, PR2, and PR9, which are known to participate in the salicylic acid signaling pathway, and genes involved in ethylene/Jasmonic acid biosynthesis (ACS12, AP2 domain-containing transcription factor, and OPR3). In addition, SA treatment promoted the induction of a subset of genes involved in several metabolic processes, such as redox states and secondary metabolism, which are associated with biotic stress. For CHI treatment, there were 640 DEGs, many of them involved in secondary metabolism. For both SA and CHI treatments, the auxin pathway genes were repressed, but SA treatment promoted induction in the ethylene and jasmonate acid pathway genes, in addition to repressing the abscisic acid pathway genes. Chitosan treatment altered some hormone metabolism pathways. The DEGs were validated by quantitative Real-Time PCR (qRT-PCR), and the results were consistent with the RNA-seq data, with a high correlation between the two analyses. CONCLUSIONS: We expanded the available information regarding induced defense by elicitors in a species of Citrus that is susceptible to various diseases and identified the molecular mechanisms by which this defense might be mediated.


Subject(s)
Chitosan/pharmacology , Citrus sinensis/genetics , Down-Regulation/drug effects , Genes, Plant , Salicylic Acid/pharmacology , Up-Regulation/drug effects , Citrus sinensis/drug effects , Citrus sinensis/metabolism , Gene Expression Profiling , Oxidation-Reduction , Plant Growth Regulators/metabolism , Plant Leaves/drug effects , Plant Leaves/genetics , Plant Leaves/metabolism , RNA/analysis , RNA/isolation & purification , RNA/metabolism , Sequence Analysis, RNA , Signal Transduction/drug effects , Transcription Factors/metabolism
3.
Genet. mol. biol ; 30(3,suppl): 1019-1023, 2007. tab
Article in English | LILACS | ID: lil-467280

ABSTRACT

In order to obtain a better understanding of what is citrus, 33 cDNA libraries were constructed from different citrus species and genera. Total RNA was extracted from fruits, leaves, flowers, bark, seeds and roots, and subjected or not to different biotic and abiotic stresses (pathogens and drought) and at several developmental stages. To identify putative promoter sequences, as well as molecular markers that could be useful for breeding programs, one shotgun library was prepared from sweet orange (Citrus sinensis var. Olimpia). In addition, EST libraries were also constructed for a citrus pathogen, the oomycete Phythophthora parasitica in either virulent or avirulent form. A total of 286,559 cDNA clones from citrus were sequenced from their 5’ end, generating 242,790 valid reads of citrus. A total of 9,504 sequences were produced in the shotgun library and the valid reads were assembled using CAP3. In this procedure, we obtained 1,131 contigs and 4,083 singletons. A total of 19,200 cDNA clones from P. parasitica were sequenced, resulting in 16,400 valid reads. The number of ESTs generated in this project is, to our knowledge, the largest citrus sequence database in the world.

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