Project description:This paper *potentially* provides a useful transcriptomic and proteomic resource for the parasitic nematode Gnathostoma spinigerum. Most importantly, the paper gives not only proteomics data but also immunoblot data for antigenic responses of infected humans against G. spinigerum proteins that were probably secreted into human hosts in vivo. These data are potentially useful to biomedicine.
Project description:The Periconia genus belongs to the phylum Ascomycota, order Pleosporales, family Periconiaceae. Periconia is widespread in many habitats but little is known about its ecology. Several species produce bioactive molecules, among them, Periconia digitata extracts were shown to be deadly active against the pine wilt nematode. The strain CNCM I-4278, here identified as P. digitata was able to inhibit the plant pathogen Phytophthora parasitica. Since P. digitata has great potential as biocontrol agent and the only other genome available in the Periconiaceae family is that of Periconia macrospinosa, which is quite fragmentary, we generated long-read genomic data for P. digitata. Thanks to the PacBio Hifi sequencing technology, we obtained a high-quality genome with a total length of 38,967,494 bp, represented by 13 haploid chromosomes. The transcriptomic and proteomic data strengthen and support the genome annotation. Besides representing a new reference genome within the Periconiaceae, this work will also contribute in our understanding of the Eukaryotic tree of life. Not least, opens new possibilities to the biotechnological use of the species.
Project description:The Periconia genus belongs to the phylum Ascomycota, order Pleosporales, family Periconiaceae. Periconia is widespread in many habitats but little is known about its ecology. Several species produce bioactive molecules, among them, Periconia digitata extracts were shown to be deadly active against the pine wilt nematode. The strain CNCM I-4278, here identified as P. digitata was able to inhibit the plant pathogen Phytophthora parasitica. Since P. digitata has great potential as biocontrol agent and the only other genome available in the Periconiaceae family is that of Periconia macrospinosa, which is quite fragmentary, we generated long-read genomic data for P. digitata. Thanks to the PacBio Hifi sequencing technology, we obtained a high-quality genome with a total length of 38,967,494 bp, represented by 13 haploid chromosomes. The transcriptomic and proteomic data strengthen and support the genome annotation. Besides representing a new reference genome within the Periconiaceae, this work will also contribute in our understanding of the Eukaryotic tree of life. Not least, opens new possibilities to the biotechnological use of the species.
Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.
