Researchers at King Abdullah University of Science and Technology (KAUST) have developed a novel genome engineering method for precisely inserting large pieces of genetic information into plants. Published in Nature Biotechnology, this approach allows for targeted placement of large genes into plant genomes without creating DNA breaks, overcoming a long-standing challenge in the field. The method was successfully demonstrated in both tobacco and rice, opening new possibilities for agricultural biotechnology and synthetic biology. Why it matters: This advance could enable the development of more complex traits in crops for improved resilience and sustainable agriculture, and facilitate the use of plants as scalable platforms for producing therapeutics and other valuable compounds.
The Technology Innovation Institute (TII) in Abu Dhabi has launched a Biofoundry to advance R&D in synthetic biology, focusing on genetic engineering, metabolic engineering, and bioinformatics. The facility features high-throughput robotic systems, next-generation sequencing, and advanced computational tools. TII's Biofoundry is now part of the Global Biofoundry Alliance (GBA) to foster partnerships and address shared challenges. Why it matters: This initiative positions the UAE as a key player in synthetic biology, with potential breakthroughs across healthcare, agriculture, and environmental sustainability.
A KAUST-led study has revealed a unique microbial ecosystem in the Hatiba Mons hydrothermal vent fields of the Red Sea, first documented in 2023. Using genome-resolved metagenomics, the study reconstructed over 300 microbial genomes from five vent sites. The analysis showed an ecosystem dominated by microbes capable of iron, sulfur, nitrogen, and carbon cycling, unlike most hydrothermal vents that are sulfur- and methane-based. Why it matters: The discovery provides new insights into microbial processes in extreme conditions, ocean resilience, and global carbon cycling, highlighting the interplay between geology and biology in the Red Sea.
KAUST researchers have developed a green synthetic biology approach using engineered algae to replicate the complex fragrances of agarwood, also known as oudh. They catalogued the chemical diversity of sesquiterpenes (STPs) in 58 agarwood samples and reproduced some of the chemical complexity of agarwood STPs in algae using synthetic biology. The team used the green alga Chlamydomonas reinhardtii to produce nine distinct STP chemical products widely found in agarwood, offering a sustainable alternative to harvesting endangered trees. Why it matters: This research provides a sustainable route for producing sought-after fragrances, reducing pressure on endangered agarwood tree populations and promoting green chemistry in the region.
KAUST researchers have developed a new synthetic biology process using metabolically engineered algae to produce fragrant sesquiterpenoids, the core compounds in agarwood and other perfumes. The process, developed by the Lauersen and Szekely groups, achieved yields 25 times higher than previous methods and allows for the synthesis of 103 types of fragrant sesquiterpenoids. It also incorporates an energy-efficient nanofiltration step and operates at room temperature with minimal waste. Why it matters: This sustainable bioprocess offers a green alternative to environmentally damaging harvesting of natural resources for the $44 billion fragrance industry, with potential applications in drug development.
Researchers at KAUST and international collaborators have published a framework in Nature Microbiology for using microbiomes to protect wildlife. The framework outlines a path from laboratory research to large-scale applications of microbiome solutions for threatened ecosystems. It addresses ethical considerations and risk assessment for applying environmental probiotics. Why it matters: This framework provides a science-based guide for responsible research and development of microbiome solutions to combat global biodiversity loss, particularly in sensitive marine ecosystems like coral reefs.
KAUST researchers developed a new algorithm for detecting cause and effect in large datasets. The algorithm aims to find underlying models that generate data, helping uncover cause-and-effect dynamics. It could aid researchers across fields like cell biology and genetics by answering questions that typical machine learning cannot. Why it matters: This advancement could equip current machine learning methods with abilities to better deal with abstraction, inference, and concepts such as cause and effect.
Researchers from MBZUAI, Khalifa University, and Sorbonne University Abu Dhabi developed H-SURF, a system of underwater robotic fish that can swim, communicate, and gather information without human guidance. The robotic fish use bioinspired robotics with streamlined bodies, fins, and propellers to produce fluid movement. They communicate with each other using light instead of sound to reduce noise. Why it matters: This award-winning system represents a significant advancement in autonomous underwater robotics, offering a less intrusive way to monitor marine environments and gather data, with potential applications in marine biology and environmental research.