Developing mutants of negative regulator of immune response gene (CPL-3) in tomato using CRISPR/Cas9
Bu tez size mi ait?
Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.
Özet (EN)
Bacterial infections pose a substantial threat to tomato production, impacting the biochemical and molecular attributes of the crop. This study elucidates the identification and characterization of RNA Polymerase II (RNAP) C-Terminal Domain Phosphatase-like 3 (SlCPL-3) genes in prominent commercial tomato cultivars (Rio-grande, Sazlica, and Falcon). Comprising 11 exons, the SlCPL-3 gene encodes two protein domains, CPDCs, and BRCT. Employing various bioinformatic tools, a predictive 3-D structure and an exploration of phosphorylation potential were conducted. Mutant development in tomatoes allowed an exploration of CPL-3 gene expression under biotic stress, utilizing Pst DC-3000 as the infectious pathogen. Results unveiled the activation of the SlCPL-3 gene during bacterial stress, with upregulated expression observed across various time intervals. Mutant plants exhibited diminished CPL-3 expression compared to wild-type plants, complemented by a subsequent reduction in PR-1 gene expression a marker linked with biotic stress. These findings support the hypothesis that targeting the CPL-3 gene through CRISPR/Cas9 holds promise for enhancing crop resilience against bacterial pathogens.
Yazar
Faısal Saeed
Kurum
Bu Yayına Nasıl Atıf Yapılır
Faısal Saeed (Doctorate thesis). Developing mutants of negative regulator of immune response gene (CPL-3) in tomato using CRISPR/Cas9, 2024, Niğde Ömer Halisdemir Üniversity.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Niğde Ömer Halisdemir Üniversity tezlerinden daha fazlası
- A comparative analyzing language sufficeiancy test in Kazakhstan and Türkiye(2024)
- Wine production process and its economic cantribution in the Ottoman Empire: Economy ministry industry angricultural winery(2024)
- VIII. term Kırşehir deputies and their political activities(2024)
- Using cartoons in social studies course books(2024)
- The effect of traffic fines on traffic accidents in Türkiye(2024)
- Use of machine learning methods in automatic building extraction from UAV images(2024)