Sex-specific transcripts are RNA molecules expressed predominantly or exclusively in one sex, providing insights into molecular and physiological differences between males and females. This knowledge underpins the development of precise and efficient genetic sexing methods applicable in various contexts. In agriculture and livestock management, early sex determination could enhance resource management and productivity. In ecology and conservation, genetic sexing informs population monitoring and species management. In applied entomology, it could improve biological control strategies, such as the sterile insect technique. Here, we describe a bioinformatic framework to identify sex-specific transcripts using RNA-seq sequencing data in eukaryotic species with or without a sequenced reference genome.
Identification of Sex-Specific and Sex-Biased Transcripts for Genetic Sexing / Aceto, Serena; Perrini, Stefano; Varone, Marianna; Lucibelli, Francesca; Volpe, Gennaro; Di Lillo, Paola; Carfora, Angela; Mazzucchiello, Sarah Maria; Saccone, Giuseppe; Salvemini, Marco. - 2935:(2025), pp. 273-298. [10.1007/978-1-0716-4583-3_12]
Identification of Sex-Specific and Sex-Biased Transcripts for Genetic Sexing
Aceto SerenaPrimo
Conceptualization
;Varone Marianna;Lucibelli Francesca;Volpe Gennaro;Di Lillo Paola;Carfora Angela;Mazzucchiello Sarah Maria;Saccone Giuseppe;Salvemini Marco
Ultimo
Conceptualization
2025
Abstract
Sex-specific transcripts are RNA molecules expressed predominantly or exclusively in one sex, providing insights into molecular and physiological differences between males and females. This knowledge underpins the development of precise and efficient genetic sexing methods applicable in various contexts. In agriculture and livestock management, early sex determination could enhance resource management and productivity. In ecology and conservation, genetic sexing informs population monitoring and species management. In applied entomology, it could improve biological control strategies, such as the sterile insect technique. Here, we describe a bioinformatic framework to identify sex-specific transcripts using RNA-seq sequencing data in eukaryotic species with or without a sequenced reference genome.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


