Aug 2026· Journal of Cotton Research· Vol 9· 0 citations· 122 references
Abstract
Egyptian cotton, derived primarily from Gossypium barbadense L., has shaped the country’s agricultural economy and international reputation for nearly two centuries. Among these, the Giza varieties—renowned for their exceptional fiber length, fineness, and strength—have garnered global recognition and made substantial contributions to export revenues and rural livelihoods. This review systematically analyzes more than 120 scientific publications from the past 30 years. It synthesizes research advances in Egypt, focusing on germplasm resources, fiber anatomical characteristics, variety improvement, and the integration of molecular and biotechnological tools. Progress in molecular markers, quantitative trait locus (QTL) mapping, and genome-wide association studies (GWAS) is highlighted for its role in dissecting traits related to fiber quality and stress tolerance. Experimental transformation studies and functional genomics have provided proof-of-concept for genes involved in insect resistance and fiber development. At the same time, genome editing—particularly clustered regularly interspaced short palindromic repeats/CRISPR-associated protein (CRISPR/Cas) systems—represents an emerging frontier for precise trait improvement in G. barbadense. Molecular markers have been used to assess genetic diversity within Egyptian cotton germplasm, enabling the development of unique varietal fingerprints and guiding breeding programs to improve yield, quality, and stress resilience. Techniques such as QTL mapping and GWAS facilitate the identification of genomic regions underlying key traits, thereby establishing a foundation for marker-assisted selection. Specific Egyptian varieties—including Giza 94 (a heat-tolerant variety), Giza 95 (a drought-tolerant variety), and Giza 90/Giza 97 (salinity-tolerant varieties)—have demonstrated measurable stress resilience in controlled and field trials. However, formal release designations for these traits remain lacking. Concurrently, functional genomics approaches have enabled the characterization of genes involved in fiber development in Egyptian cotton. Furthermore, biotechnological innovations—including experimental Bt-transformation and the emerging precision of CRISPR/Cas genome editing—offer promising pathways to introduce adaptive traits more efficiently.
It is argued that formation of a tumour-intrinsic niche is a prerequisite for BRAF-mutant CRC seeding to distant organs and that interference with niche formation may help avoid metastatic relapse.
J. Bugter, L. El Bouazzaoui, E. Küçükköse et al.· bioRxiv· 2 citations
It is concluded that bridging the gap between foundational CRISPR research and its real-world applications is imperative and future efforts should focus on democratizing tools via open-source platforms, advancing delivery systems, and fostering sustainable innovation through synthetic biology integration to fully realize the transformative potential of genome editing in organisms beyond model organisms.
S. Sarsaiya, Archana Jain, Jishuang Chen et al.· Biotechnology Advances· 2 citations
A virus-like particle (VLP)-based toolkit that delivers diverse CRISPR editing modalities to human monocytes, macrophages and dendritic cells with high efficiency while preserving viability and innate immune responsiveness is presented.
Hyuncheol Jung, Pascal Devant, Carter Ching et al.· Nature Biotechnology· 0 citations
The exogenous addition of xylose as a signal to initiate genetic editing achieved the spatiotemporal regulation of the target gene-activating gene editing that restricts growth only after the completion of the strain's growth phase, and raised the total pigment yield.
Jiawen Du, Long-Xiang Liu, Jiawen Gao et al.· Bioresource Technology· 0 citations
This review summarizes the trajectory of iPSC reprogramming technologies and identifies the core “translational triltrilas”, namely, the inherent tradeoffs between security, homogeneity, and scalability, and proposes a comprehensive strategy to overcome these bottlenecks.
Mengmeng Chen, Ning Zuo, Qi Wang et al.· Frontiers in Cell and Develo...· 0 citations
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
MIT News · Artificial Intelligence· news.mit.eduAug 17, 2026