The KAUST Pathogen Genomics Laboratory (PGL), led by Professor Arnab Pain, is using DNA and RNA sequencing to study the SARS-CoV-2 virus. The lab is part of KAUST's Rapid Research Response Team (R3T), supporting Saudi healthcare stakeholders in combating COVID-19. Pain and his Ph.D. student Sharif Hala are partnering with the Saudi-CDC and Ministry of Health hospitals to sequence Saudi SARS-CoV-2 samples. Why it matters: This effort provides crucial data for understanding and monitoring the virus's spread and evolution within the Kingdom, informing public health strategies.
KAUST, Tufts, and JIHS researchers created pangenome graphs using Saudi and Japanese samples, named JaSaPaGe. These graphs address the underrepresentation of these populations in existing pangenome databases, which are used as references for understanding individual DNA. The population-specific pangenomes are expected to improve variant calling and diagnostic accuracy for genetic disorders in these groups. Why it matters: This work promotes precision medicine and reduces diagnostic gaps for underrepresented populations by providing more relevant genetic baselines.
The Russian Immune Diversity Atlas project aims to profile immune cells from people of different ancestries at a multiomics level. The goal is to reconstruct a reference atlas of the healthy immune system and investigate its perturbations in Type II Diabetes (T2D). The project seeks to identify novel mechanisms and genetic/epigenetic markers for early T2D diagnostics, prognosis, and therapy as part of the international Human Cell Atlas. Why it matters: Addressing genetic diversity in biomedical research, particularly in the context of the Human Cell Atlas, is crucial for personalized medicine and ensuring that treatments are effective across diverse populations in the Middle East and globally.
KAUST researchers are analyzing the SARS-CoV-2 genome to identify potential targets for treatment and vaccine development. They are using the KAUST Metagenome Analysis Platform (KMAP) and the university's supercomputer to compare and analyze genomic data. The research focuses on identifying key genes for detection and treatment of COVID-19. Why it matters: This research contributes to the global effort to combat the pandemic and highlights KAUST's capabilities in genomic data analysis and computational bioscience.
A KAUST-led research team sequenced the first high-quality quinoa genome. This achievement may enhance our ability to feed the world's growing population. The research was conducted at King Abdullah University of Science and Technology. Why it matters: This breakthrough in genomics could lead to more resilient and nutritious crops, contributing to global food security efforts.
A KAUST-led team mapped the genome of the orange clownfish using the university's Supercomputing and Bioscience Core Labs. The genome contains 26,597 protein-coding genes and is available via the Nemo Genome DB database. The clownfish genome is one of the most complete fish genomes ever produced, comprising approximately 939 million nucleotides. Why it matters: This genomic map provides a crucial resource for understanding reef fish biology and responses to environmental changes like climate change.
KAUST researchers analyzed the genome of strain RS24, a bacterium isolated from the Red Sea. The bacterium, named Candidatus Micropelagos thuwalensis RS24, belongs to the PS1 clade within Alphaproteobacteria. Genome sequencing revealed that RS24 and IMCC14465, while similar, are distinct species of the PS1 clade, containing genomic islands. Why it matters: This study advances understanding of microbial adaptation to extreme marine environments like the Red Sea, providing insights into the structure-function relationships within microbial communities.
KAUST researchers have developed a genomic resource for Tausch’s goatgrass (Aegilops tauschii), a wild relative of wheat, by creating 46 high-quality genome assemblies. They compiled 493 genetically distinct accessions from an initial 900, collaborating with the Open Wild Wheat Consortium to select accessions with traits of interest, such as disease resistance and stress tolerance. Screening these assemblies helped identify rust resistance genes, including mapping a stem rust resistance gene to the Sr33 locus. Why it matters: This genomic resource will accelerate gene discovery in wheat, potentially improving modern wheat varieties and enhancing global food security.