UNCOVERING STRUCTURAL GENOMIC CONTENTS OF WHEAT
Halise Büşra Çağırıcı
Molecular Biology, Genetics and Bioengineering, PhD Dissertation, 2019
Assoc. Prof. Levent Öztürk (Thesis Advisor), Prof. Dr. Hikmet Budak (Thesis Co-advisor), Prof. Dr. Ali Koşar, Assoc. Prof. Meral Yüce, Asst. Prof. Bahar Soğutmaz Özdemir, Asst. Prof. Hasan Kurt
Date & Time: July 12th, 2019 – 14:30
Place: FMAN G060
Keywords : wheat, lncRNAs, miRNAs, SNPs, machine learning
Production rate of wheat, an important food source worldwide, is significantly limited by both biotic and abiotic stress factors. Development of stress resistant cultivars are highly dependent on the understanding of the molecular mechanisms and structural elements in wheat and/or wheat interacting species. The huge and complex genome of bread wheat (BBAADD genome) has stood as a vital obstruction for understanding the molecular mechanisms until the recent availability of wheat reference genome.In this study, we provided improved and/or novel methodologies to reveal structural elements in plants. These methodologies include miRNA identification, manual curation of lncRNAs, identification of lncRNAs using wheat specific prediction models and a comparative analysis of WES data analysis tools. Using these techniques, we here focused on the uncovering of structural genomic contents of wheat.