Probing of plant transcriptomes reveals the hidden genetic diversity of the family Secoviridae.

Secoviruses are single-stranded RNA viruses that infect plants. In the present study, we identified 61 putative novel secoviral genomes in various plant species by mining publicly available plant transcriptome data. These viral sequences represent the genomes of 13 monopartite and 48 bipartite secovirids. The genome sequences of 52 secovirids were coding-complete, and nine were partial. Except for small open reading frames (ORFs) determined in waikaviral genomes and RNA2 of torradoviruses, all of the recovered genomes/genome segments contained a large ORF encoding a polyprotein. Based on genome organization and phylogeny, all but three of the novel secoviruses were assigned to different genera. The genome organization of two identified waika-like viruses resembled that of the recently identified waika-like virus Triticum aestivum secovirus. Phylogenetic analysis revealed a pattern of host-virus co-evolution in a few waika- and waika-like viruses and increased phylogenetic diversity of nepoviruses. The study provides a basis for further investigation of the biological properties of these novel secoviruses.

Synthesis of laughter by modifying excitation characteristics.

In this paper, a method to synthesize laughter by modifying the excitation source information is presented. The excitation source information is derived by extracting epoch locations and instantaneous fundamental frequency using zero frequency filtering approach. The zero frequency filtering approach is modified to capture the rapidly varying instantaneous fundamental frequency in natural laugh signals. The nature of variation of excitation features in natural laughter is examined to determine the features to be incorporated in the synthesis of a laugh signal. Features such as pitch period and strength of excitation are modified in the utterance of vowel /a/ or /i/ to generate the laughter signal. Frication is also incorporated wherever appropriate. Laugh signal is generated by varying parameters at both call level and bout level. Experiments are conducted to determine the significance of different features in the perception of laughter. Subjective evaluation is performed to determine the level of acceptance and quality of synthesis of the synthesized laughter signal for different choices of parameter values and for different input types.