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This paper is part of a wider study about a corpus of songs, collected in the three different languages spoken in Salento (Puglia- South Italy): Italian (with regional variety), Griko and Salentino dialect. We analyze all the discography (texts and music of songs) of Avleddha , one of the most famous popular bands, founded in the early '90s in the Grecìa Salentina. This corpus is compared to other 80 songs, that includes English, Italian and popular music. We use Principal Component Analysis and techniques of sound analysis (spectrograms) we demonstrate that songs of the four bands are well separated from a point of view of complexity of the texts and music. The aim of this study is to characterize Avleddha's music with reference to the other group of songs. We show that it is closer to the tradition of Salento popular music, but is able to maintain an original fingerprint, that makes it unique in its field. In this research the description of language systems at morphosyntactic level is not present, but we present a novel quantitative approach to reveal features both generic and specific in corpora of popular music. [ABSTRACT FROM AUTHOR]

In each genome, synonymous codons are used with different frequencies; this general phenomenon is known as codon usage bias. It has been previously recognised that codon usage bias could affect the cellular fitness and might be associated with the ecology of microbial organisms. In this exploratory study, we investigated the relationship between codon usage bias, lifestyles (thermophiles vs. mesophiles; pathogenic vs. non-pathogenic; halophilic vs. non-halophilic; aerobic vs. anaerobic and facultative) and habitats (aquatic, terrestrial, host-associated, specialised, multiple) of 615 microbial organisms (544 bacteria and 71 archaea). Principal component analysis revealed that species with given phenotypic traits and living in similar environmental conditions have similar codon preferences, as represented by the relative synonymous codon usage (RSCU) index, and similar spectra of tRNA availability, as gauged by the tRNA gene copy number (tGCN). Moreover, by measuring the average tRNA adaptation index (tAI) for each genome, an index that can be associated with translational efficiency, we observed that organisms able to live in multiple habitats, including facultative organisms, mesophiles and pathogenic bacteria, are characterised by a reduced translational efficiency, consistently with their need to adapt to different environments. Our results show that synonymous codon choices might be under strong translational selection, which modulates the choice of the codons to differently match tRNA availability, depending on the organism's lifestyle needs. To our knowledge, this is the first large-scale study that examines the role of codon bias and translational efficiency in the adaptation of microbial organisms to the environment in which they live. [ABSTRACT FROM AUTHOR]