A novel sRNA srvg17985 identified in Vibrio alginolyticus involving into metabolism and stress response

Potential dsRNAs can be delivered to aquatic for defense pathogens

The use of antibiotics to facilitate resistance to pathogens in aquatic animals is a traditional method of pathogen control that is harmful to the environment and human health. RNAi is an emerging technology in which homologous small RNA molecules target specific genes for degradation, and it has already shown success in laboratory experiments. However, further research is needed before it can be applied in aquafarms. Many laboratories inject the dsRNA into aquatic animals for RNAi, which is obviously impractical and very time consuming in aquafarms. Therefore, to enable the use of RNAi on a large scale, the methods used to prepare dsRNA need to be continuously in order to be fast and efficient. At the same time, it is necessary to consider the issue of biological safety. This review summarizes the key harmful genes associated with aquatic pathogens (viruses, bacteria, and parasites) and provides potential targets for the preparation of dsRNA; it also lists some current examples where RNAi technology is used to control aquatic species, as well as how to deliver dsRNA to the target hydrobiont.

Screening and functional identification of antioxidant microRNA-size sRNAs from Spirulina platensis using high-throughput sequencing

MiRNA-size small RNAs, abbreviated as sRNAs, are increasingly being discovered as research progresses and omics technologies development in prokaryotes. However, there is a paucity of data concerning whether or not sRNAs exist in cyanobacteria and regulate the resistance to oxidative stress. In this investigation, small RNA libraries were constructed from the control, 50-nM and 100-nM H2O2 treatments of Spirulina platensis. By high-throughput sequencing, 23 candidate sRNAs showed significantly differential expression under oxidative stress, among which eight sRNAs were identified with the similar expression patterns as the sequencing results by real-time qPCR. By nucleic acid hybridisation, the corresponding expression changes also demonstrated that sequencing results of sRNAs were feasible and credible. By bioinformatics prediction and structure identification, 43 target genes were predicted for 8 sRNAs in plant miRNA database, among which 29 were annotated into the genome and related metabolic pathways of S. platensis. By COG functional classification and KEGG pathway analysis, 31 target genes were predicted to be directly or indirectly involved in the defence mechanism of H2O2 stress. Thirteen target genes displayed reversely changing patterns compared with those of their sRNAs under H2O2 treatment. These findings provide compelling evidence that these sRNAs in S. platensis play a crucial role in oxidative stress responses, and thus provide a theoretical reference for improving the stress-triggering physiological regulation.