Galise, Teresa Rosa (2024) Bioinformatic approaches to the genomics of flowering plants. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Bioinformatic approaches to the genomics of flowering plants
Creators:
Creators
Email
Galise, Teresa Rosa
teresarosa.galise@unina.it
Date: 19 March 2024
Number of Pages: 149
Institution: Università degli Studi di Napoli Federico II
Department: Biologia
Dottorato: Biologia
Ciclo di dottorato: 36
Coordinatore del Corso di dottorato:
nome
email
Esposito, Sergio
sergio.esposito@unina.it
Tutor:
nome
email
Cozzolino, Salvatore
UNSPECIFIED
Date: 19 March 2024
Number of Pages: 149
Keywords: population, species, plant
Settori scientifico-disciplinari del MIUR: Area 05 - Scienze biologiche > BIO/01 - Botanica generale
Additional information: Email: teresargalise@gmail.com teresarosa.galise@unina.it ORCID iD: https://orcid.org/0000-0002-6922-9669
Date Deposited: 15 Mar 2024 10:23
Last Modified: 13 Mar 2026 08:51
URI: http://www.fedoa.unina.it/id/eprint/15403

Collection description

This study analyses genetic diversification, demographic history, and evolution of various plant species by analyzing genetic markers. For Eokochia saxicola, a rare Mediterranean coastal halophyte, chloroplast and nuclear SNPs were employed. Results indicate low haplotype variation in plastid genomes, with evidence of admixture among populations and multiple colonizations. Nuclear SNPs reveal distinct genetic clusters corresponding to sampling localities, with genetic solid isolation. Additionally, a phylogenetic analysis was conducted on E. saxicola and Spirobassia hirsuta, providing new insights into genetic complexities within the Camphorosmeae, with implications for genome size evolution and phylogenetic relationships. Similarly, genomic analysis of Ophrys sphegodes identified genomic regions as candidates for pollinator- mediated evolution. Lastly, genome analysis of Phaseolus vulgaris supports a specific geographic origin for this crop, rejecting recent hypotheses and emphasizing the importance of genetic variability analysis in understanding crop evolution. Custom-designed orchid bait sets exhibit high performance in phylogenetic analysis and species identification, providing valuable tools for Orchidaceae research. This study provides a comprehensive framework of evolutionary dynamics in various plant species using advanced genetic approaches.

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