An efficient metatranscriptomic approach for capturing RNA virome and its application to SARS-CoV-2

Evaluation of rRNA depletion methods for capturing the RNA virome from environmental surfaces

OBJECTIVE

Metatranscriptomic analysis of RNA viromes on built-environment surfaces is hampered by low RNA yields and high abundance of rRNA. Therefore, we evaluated the quality of libraries, efficiency of rRNA depletion, and viral detection sensitivity using a mock community and a melamine-coated table surface RNA with levels below those required (< 5 ng) with a library preparation kit (NEBNext Ultra II Directional RNA Library Prep Kit).

RESULTS

Good-quality RNA libraries were obtained from 0.1 ng of mock community and table surface RNA by changing the adapter concentration and number of PCR cycles. Differences in the target species of the rRNA depletion method affected the community composition and sensitivity of virus detection. The percentage of viral occupancy in two replicates was 0.259 and 0.290% in both human and bacterial rRNA-depleted samples, a 3.4 and 3.8-fold increase compared with that for only bacterial rRNA-depleted samples. Comparison of SARS-CoV-2 spiked-in human rRNA and bacterial rRNA-depleted samples suggested that more SARS-CoV-2 reads were detected in bacterial rRNA-depleted samples. We demonstrated that metatranscriptome analysis of RNA viromes is possible from RNA isolated from an indoor surface (representing a built-environment surface) using a standard library preparation kit.

An imported human case with the SARS-CoV-2 Omicron subvariant BA.2.75 in Yunnan Province, China

The Omicron variants spread rapidly worldwide after being initially detected in South Africa in November 2021. It showed increased transmissibility and immune evasion with far more amino acid mutations in the spike (S) protein than the previously circulating variants of concern (VOCs). Notably, on 15 July 2022, we monitored the first VOC / Omicron subvariant BA.2.75 in China from an imported case. Moreover, nowadays, this subvariant still is predominant in India. It has nine additional mutations in the S protein compared to BA.2, three of which (W152R, G446S, and R493Q reversion) might contribute to higher transmissibility and immune escape. This subvariant could cause wider spread and pose a threat to the global situation. Our timely reporting and continuous genomic analysis are essential to fully elucidate the characteristics of the subvariant BA.2.75 in the future.