While bats are increasingly recognized as a source of coronavirus epidemics, the diversity and emergence potential of bat coronaviruses remains to be fully understood. Among 1779 bat samples collected in China, diverse coronaviruses were detected in 32 samples from five different bat species by RT-PCR. Two novel alphacoronaviruses, Rhinolophus sinicus bat coronavirus HKU32 (Rs-BatCoV HKU32) and Tylonycteris robustula bat coronavirus HKU33 (Tr-BatCoV HKU33), were discovered from Chinese horseshoe bats in Hong Kong and greater bamboo bats in Guizhou Province, respectively. Genome analyses showed that Rs-BatCoV HKU32 is closely related to BatCoV HKU10 and related viruses from diverse bat families, whereas Tr-BatCoV HKU33 is closely related to BtNv-AlphaCoV and similar viruses exclusively from bats of Vespertilionidae family. The close relatedness of Rs-BatCoV HKU32 to BatCoV HKU10 which was also detected in Pomona roundleaf bats from the same country park suggests that these viruses may have the tendency of infecting genetically distant bat populations of close geographical proximity with subsequent genetic divergence. Moreover, the presence of SARSr-CoV ORF7a-like protein in Rs-BatCoV HKU32 suggests a common evolutionary origin of this accessory protein with SARS-CoV, also from Chinese horseshoe bats, an apparent reservoir for coronavirus epidemics. The emergence potential of Rs-BatCoV HKU32 should be explored.

RNA transcripts circulating in peripheral blood represent an important source of non-invasive biomarkers. To accurately quantify the levels of circulating transcripts, one needs to normalize the data with internal control reference genes, which are detected at relatively constant levels across blood samples. A few reference gene candidates have to be selected from transcriptome data before the validation of their stable expression by reverse-transcription quantitative polymerase chain reaction. However, there is a lack of transcriptome, let alone whole-transcriptome, data from maternal blood. To overcome this shortfall, we performed RNA-sequencing on blood samples from women presenting with preterm labor. The coefficient of variation (CV) of expression levels was calculated. Of 11,215 exons detected in the maternal blood whole-transcriptome, a panel of 395 genes, including PPP1R15B, EXOC8, ACTB, and TPT1, were identified to comprise exons with considerably less variable expression level (CV, 7.75–17.7%) than any GAPDH exon (minimum CV, 27.3%). Upon validation, the selected genes from this panel remained more stably expressed than GAPDH in maternal blood. This panel is over-represented with genes involved with the actin cytoskeleton, macromolecular complex, and integrin signaling. This groundwork provides a starting point for systematically selecting reference gene candidates for normalizing the levels of circulating RNA transcripts in maternal blood.

RNA transcripts circulating in peripheral blood represent an important source of non-invasive biomarkers. To accurately quantify the levels of a circulating transcript, one needs to normalize the data with internal control reference genes, which are detected at relatively constant levels across different blood samples. A few stably-expressed reference gene candidates have to be selected from transcriptome data before validation of their stable expression by reverse-transcription quantitative polymerase chain reaction. However, there is a lack of transcriptome, let alone whole-transcriptome, data from maternal blood. To overcome this shortfall, we performed RNA-seq on blood samples from women presented with preterm labor. Of 11215 exons detected in the maternal blood whole-transcriptome, we systematically identified a panel of 395 genes comprising exons that were detected at a coefficient of variation ( CV ) ranging from 7.75%-17.7%. Their levels were considerably less variable than any GAPDH exon (minimum CV , 27.3%). Upon validation, selected genes from this panel remained as more stably expressed than GAPDH in maternal blood. This panel is over-represented with genes involved with actin cytoskeleton, macromolecular complex and the integrin signaling pathway. This groundwork provides a starting point for systematically selecting reference gene candidates for normalizing the levels of circulating RNA transcripts in maternal blood.

The Hong Kong Genome Project (HKGP) aims to build a foundational resource for precision medicine in the Chinese population through large-scale genome sequencing and integrated analyses. Here we report findings from over 20,000 HKGP participants across two cohorts: a rare disease cohort including 2,227 patients with suspected genetic diseases and a population cohort including 18,261 participants undergoing genomic screening for medically actionable findings. The rare disease cohort achieved a diagnostic rate of 25%. When benchmarked against panels designed for European ancestries, the analysis revealed that 3.7% of the individuals in the population cohort had pathogenic or likely pathogenic variants associated with dominant disorders. While 48% of individuals were found to carry recessive disorder genes in the gene list based upon European ancestries, our analysis revealed that 38 additional clinically important genes would have been overlooked in the Chinese population. Pharmacogenomic analysis demonstrated that nearly all participants harbored at least one actionable phenotype, potentially informing nearly one million annual prescriptions in Hong Kong. The ongoing HKGP establishes a curated Hong Kong Chinese reference for clinically relevant genetic variation and serves as a blueprint for the implementation of precision medicine in underrepresented populations.

We report the draft genome sequence of an extensively drug-resistant strain of Acinetobacter baumannii, CUAB1, isolated from a patient in a local Hong Kong hospital. MIC testing was performed, and genes previously associated with drug resistance were located.