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 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.
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.
A KAUST Global Ocean Genome workshop convened international scientists to discuss and evaluate the global ocean genome's progress. Participants assessed the representation of microbial communities and their gene pools, explored the functional capacities of the global ocean microbiome, and examined the distribution of key functional genes. KAUST aims to become a repository of global metagenome data, using big-data systems to explore ocean metagenome knowledge. Why it matters: This initiative highlights KAUST's commitment to advancing microbiome research and fostering international collaboration in marine genomics, positioning the university as a key player in understanding and utilizing ocean biodiversity.
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.
A KAUST Rapid Research Response Team (R3T) is collaborating with healthcare stakeholders to combat COVID-19. Xin Gao and his Structural and Functional Bioinformatics (SFB) Group are developing an AI-based diagnosis pipeline from CT scans of COVID-19 patients. The AI pipeline aims to address the high false negative rates associated with nucleic acid detection. Why it matters: This research could improve COVID-19 diagnostics and potentially inform understanding of viral pathogenesis.
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.
NYU Professor Michael Purugganan presented at KAUST's 2014 Winter Enrichment Program (WEP 2014) on the origins of crop species. He discussed how genome sequencing is improving our understanding of crop evolution, using date fruits collected in Jeddah as an example. His research on rice showed that two varieties, japonica and indica, share a single common ancestor, contrary to previous assumptions. Why it matters: Understanding crop evolution can help adapt crops to changing environments, which is crucial for food security in regions like the Middle East.