Fluorescent pseudomonads pursue media-dependent strategies to inhibit growth of pathogenic Verticillium fungi.

Verticillium species represent economically important phytopathogenic fungi with bacteria as natural rhizosphere antagonists. Growth inhibition patterns of Verticillium in different media were compared to saprophytic Aspergillus strains and were significantly more pronounced in various co-cultivations with different Pseudomonas strains. The Brassica napus rhizosphere bacterium Pseudomonas fluorescens DSM8569 is able to inhibit growth of rapeseed (Verticillium longisporum) or tomato (Verticillium dahliae) pathogens without the potential for phenazine or 2,4-diacetylphloroglucinol (DAPG) mycotoxin biosynthesis. Bacterial inhibition of Verticillium growth remained even after the removal of pseudomonads from co-cultures. Fungal growth response in the presence of the bacterium is independent of the fungal control genes of secondary metabolism LAE1 and CSN5. The phenazine producer P. fluorescens 2-79 (P_phen) inhibits Verticillium growth especially on high glucose solid agar surfaces. Additional phenazine-independent mechanisms in the same strain are able to reduce fungal surface growth in the presence of pectin and amino acids. The DAPG-producing Pseudomonas protegens CHA0 (P_DAPG), which can also produce hydrogen cyanide or pyoluteorin, has an additional inhibitory potential on fungal growth, which is independent of these antifungal compounds, but which requires the bacterial GacA/GacS control system. This translational two-component system is present in many Gram-negative bacteria and coordinates the production of multiple secondary metabolites. Our data suggest that pseudomonads pursue different media-dependent strategies that inhibit fungal growth. Metabolites such as phenazines are able to completely inhibit fungal surface growth in the presence of glucose, whereas GacA/GacS controlled inhibitors provide the same fungal growth effect on pectin/amino acid agar.

Global analyses of Ceratocystis cacaofunesta mitochondria: from genome to proteome.

BACKGROUND: The ascomycete fungus Ceratocystis cacaofunesta is the causal agent of wilt disease in cacao, which results in significant economic losses in the affected producing areas. Despite the economic importance of the Ceratocystis complex of species, no genomic data are available for any of its members. Given that mitochondria play important roles in fungal virulence and the susceptibility/resistance of fungi to fungicides, we performed the first functional analysis of this organelle in Ceratocystis using integrated "omics" approaches. RESULTS: The C. cacaofunesta mitochondrial genome (mtDNA) consists of a single, 103,147-bp circular molecule, making this the second largest mtDNA among the Sordariomycetes. Bioinformatics analysis revealed the presence of 15 conserved genes and 37 intronic open reading frames in C. cacaofunesta mtDNA. Here, we predicted the mitochondrial proteome (mtProt) of C. cacaofunesta, which is comprised of 1,124 polypeptides - 52 proteins that are mitochondrially encoded and 1,072 that are nuclearly encoded. Transcriptome analysis revealed 33 probable novel genes. Comparisons among the Gene Ontology results of the predicted mtProt of C. cacaofunesta, Neurospora crassa and Saccharomyces cerevisiae revealed no significant differences. Moreover, C. cacaofunesta mitochondria were isolated, and the mtProt was subjected to mass spectrometric analysis. The experimental proteome validated 27% of the predicted mtProt. Our results confirmed the existence of 110 hypothetical proteins and 7 novel proteins of which 83 and 1, respectively, had putative mitochondrial localization. CONCLUSIONS: The present study provides the first partial genomic analysis of a species of the Ceratocystis genus and the first predicted mitochondrial protein inventory of a phytopathogenic fungus. In addition to the known mitochondrial role in pathogenicity, our results demonstrated that the global function analysis of this organelle is similar in pathogenic and non-pathogenic fungi, suggesting that its relevance in the lifestyle of these organisms should be based on a small number of specific proteins and/or with respect to differential gene regulation. In this regard, particular interest should be directed towards mitochondrial proteins with unknown function and the novel protein that might be specific to this species. Further functional characterization of these proteins could enhance our understanding of the role of mitochondria in phytopathogenicity.

A high-throughput data mining of single nucleotide polymorphisms in Coffea species expressed sequence tags suggests differential homeologous gene expression in the allotetraploid Coffea arabica.

Polyploidization constitutes a common mode of evolution in flowering plants. This event provides the raw material for the divergence of function in homeologous genes, leading to phenotypic novelty that can contribute to the success of polyploids in nature or their selection for use in agriculture. Mounting evidence underlined the existence of homeologous expression biases in polyploid genomes; however, strategies to analyze such transcriptome regulation remained scarce. Important factors regarding homeologous expression biases remain to be explored, such as whether this phenomenon influences specific genes, how paralogs are affected by genome doubling, and what is the importance of the variability of homeologous expression bias to genotype differences. This study reports the expressed sequence tag assembly of the allopolyploid Coffea arabica and one of its direct ancestors, Coffea canephora. The assembly was used for the discovery of single nucleotide polymorphisms through the identification of high-quality discrepancies in overlapped expressed sequence tags and for gene expression information indirectly estimated by the transcript redundancy. Sequence diversity profiles were evaluated within C. arabica (Ca) and C. canephora (Cc) and used to deduce the transcript contribution of the Coffea eugenioides (Ce) ancestor. The assignment of the C. arabica haplotypes to the C. canephora (CaCc) or C. eugenioides (CaCe) ancestral genomes allowed us to analyze gene expression contributions of each subgenome in C. arabica. In silico data were validated by the quantitative polymerase chain reaction and allele-specific combination TaqMAMA-based method. The presence of differential expression of C. arabica homeologous genes and its implications in coffee gene expression, ontology, and physiology are discussed.