Iannello, Mariangela
(2018)
A comparative transcriptomic study on the evolution of
nuclear and mitochondrial genes in bivalves, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Scienze della terra, della vita e dell'ambiente, 30 Ciclo. DOI 10.6092/unibo/amsdottorato/8539.
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Abstract
With more than 100.000 extant species, Mollusca is the second Phylum for number of species after arthropods. Molluscs are abundant in most marine and terrestrial environments and some species have adapted to live in extreme conditions. Also, this taxon shows a great diversity in term of morphology, size, complexity and behavioral
repertories. All these features make mollusc species excellent candidates for studying evolution. Nevertheless, few comparative genomic or transcriptomic works are present in literature and most of the biological questions investigated so far remain unexplored in this Phylum. In addition, most of the bioinformatics tools required to analyze High Throughput Sequencing (HTS) data are optimized for model species, making the investigation of nonmodel
organisms far to be straightforward.
During my PhD, my research activity was twofold: I first developed a pipeline specifically designed for the annotation of transcriptomes in non-model animals; then I used RNA-Seq data to investigate transcriptomes from mature gonads of R. decussatus and R. philippinarum (Bivalvia, Veneridae), focusing my analyses on the evolution of sex-biased genes and on the co-evolution of mitochondrial and nuclear genomes.
Abstract
With more than 100.000 extant species, Mollusca is the second Phylum for number of species after arthropods. Molluscs are abundant in most marine and terrestrial environments and some species have adapted to live in extreme conditions. Also, this taxon shows a great diversity in term of morphology, size, complexity and behavioral
repertories. All these features make mollusc species excellent candidates for studying evolution. Nevertheless, few comparative genomic or transcriptomic works are present in literature and most of the biological questions investigated so far remain unexplored in this Phylum. In addition, most of the bioinformatics tools required to analyze High Throughput Sequencing (HTS) data are optimized for model species, making the investigation of nonmodel
organisms far to be straightforward.
During my PhD, my research activity was twofold: I first developed a pipeline specifically designed for the annotation of transcriptomes in non-model animals; then I used RNA-Seq data to investigate transcriptomes from mature gonads of R. decussatus and R. philippinarum (Bivalvia, Veneridae), focusing my analyses on the evolution of sex-biased genes and on the co-evolution of mitochondrial and nuclear genomes.
Tipologia del documento
Tesi di dottorato
Autore
Iannello, Mariangela
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
30
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Bivalvia, RNA-Seq, evolutionary rate, mito-nuclear coevolution, mitochondrial DNA
URN:NBN
DOI
10.6092/unibo/amsdottorato/8539
Data di discussione
7 Maggio 2018
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Iannello, Mariangela
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
30
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Bivalvia, RNA-Seq, evolutionary rate, mito-nuclear coevolution, mitochondrial DNA
URN:NBN
DOI
10.6092/unibo/amsdottorato/8539
Data di discussione
7 Maggio 2018
URI
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