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master's thesis
Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca
Zagreb: University of Zagreb, Faculty of Agriculture, 2021. urn:nbn:hr:204:179823
Shihabi, Mario
University of Zagreb
Faculty of Agriculture
Animal Science

Institutional repository: Repository Faculty of Agriculture University of Zagreb

Cite this document

Shihabi, M. (2021). Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca (Master's thesis). Zagreb: University of Zagreb, Faculty of Agriculture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:204:179823

Shihabi, Mario. "Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca." Master's thesis, University of Zagreb, Faculty of Agriculture, 2021. https://urn.nsk.hr/urn:nbn:hr:204:179823

Shihabi, Mario. "Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca." Master's thesis, University of Zagreb, Faculty of Agriculture, 2021. https://urn.nsk.hr/urn:nbn:hr:204:179823

Shihabi, M. (2021). 'Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca', Master's thesis, University of Zagreb, Faculty of Agriculture, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:204:179823

Shihabi M. Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca [Master's thesis]. Zagreb: University of Zagreb, Faculty of Agriculture; 2021 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:204:179823

M. Shihabi, "Identifikacija signala pozitivne selekcije u genomu hrvatskih ovaca", Master's thesis, University of Zagreb, Faculty of Agriculture, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:204:179823

Metadata
TitleIdentifikacija signala pozitivne selekcije u genomu hrvatskih ovaca
Title (english)Detection of positive selection signatures in the genome of Croatian sheep
AuthorMario Shihabi
MentorIno Čurik (mentor)
Committee memberIno Čurik (predsjednik povjerenstva)
Committee memberVlatka Čubrić Čurik (član povjerenstva)
Committee memberMaja Ferenčaković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Agriculture
(Animal Science)
Zagreb
Defense date and country2021-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Abstract
Ovčarstvo je jedan od najvažnijih stočarskih sektora u mediteranskom području Hrvatske odakle potječe većina hrvatskih autohtonih pasmina. Prisutni signali pozitivne selekcije posljedica su adaptacije na oskudne okolišne čimbenike, ali i odabira (selekcije) ljudi. U ovom istraživanju je uz autosome bio uključen i spolni kromosom X (kod ženskih jedinki), zbog utjecaja spolno vezanog nasljeđivanja na ekonomski i evolucijski važna svojstva. Cilj rada bio je identificirati signale pozitivne selekcije putem dvije metode, iHS i eROHi, koristeći uzorak veličine 102 jedinke iz 4 autohtone pasmine ovaca Hrvatske i 606 006 SNP-ova (Infinium® HD SNP BeadChip), na kojem je prije analize obavljena kontrola kvalitete. Obje metode temelje se na analizi genomskih varijacija unutar jedne velike metapopulacije, koja ovdje predstavlja hrvatske autohtone pasmine ovaca. Uočeni su mnogi ekonomski i evolucijski važni geni te je tako razjašnjena prisutnost pojedinih signala u populaciji. Za precizniju i pouzdaniju analizu potrebno je povećati uzorak te uključiti još metoda identifikacije.
Abstract (english)
Sheep farming is one of the most important livestock sectors in the Mediterranean region of Croatia, where most of the Croatian autochthonous breeds originate from. The present positive selection signatures are a consequence of adaptation to scarce environmental factors, but also of artificial selection. In addition to autosomes, sex chromosome X (in females) was included in this study because of the known influence of sex-linked inheritance on many economically and evolutionarily important traits. The aim of this study was to identify positive selection signatures by two methods, iHS and eROHi, using a sample size of 102 individuals from 4 Croatian autochthonous breeds and 606 006 SNPs (Infinium® HD SNP BeadChip) on which quality control was performed before analysis. Both methods are based on the analysis of genomic variation within a large metapopulation, which here represents Croatian autochthonous sheep breeds. Many economically and evolutionarily relevant genes were identified, highlighting the presence of multiple signatures in the population. For a more accurate and reliable analysis, it is necessary to increase the sample size and include additional identification methods.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:204:179823
Study programmeTitle: Animal Genetics and Breeding
Study programme type: university
Study level: graduate
Academic / professional title: magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja (magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2021-10-07 11:27:29