Animal microRNA (miRNA) target prediction is still a challenge, although many prediction programs have been exploited. MiRNAs exert their function through partially binding the messenger RNAs (mRNAs; likely at 3′ untranslated regions [3′UTRs]), which makes it possible to detect the miRNA-mRNA interactions in vitro by co-transfection of miRNA and a luciferase reporter gene containing the target mRNA fragment into mammalian cells under a dual-luciferase assay system. Here, we constructed a human miRNA expression library and used a dual-luciferase assay system to perform large-scale screens of interactions between miRNAs and the 3′UTRs of seven genes, which included more than 3,000 interactions with triplicate experiments for each interaction. The screening results showed that the 3′UTR of one gene can be targeted by multiple miRNAs. Among the prediction algorithms, a Bayesian phylogenetic miRNA target identification algorithm and a support vector machine (SVM) presented a relatively better performance (27% for EIMMo and 24.7% for miRDB) against the average precision (17.3%) of the nine prediction programs used here. Additionally, we noticed that a relatively high conservation level was shown at the miRNA 3′ end targeted regions, as well as the 5′ end (seed region) binding sites.

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Drug use disorders (DUDs) not only cause serious harm to users but also cause huge economic, security, and public health burdens to families and society. Recently, several studies have shown that gut microbiota (GM) can affect the central nervous system and brain functions. In this review, we focus on the potential role of the GM in the different stages of DUDs. First, the GM may induce individuals to seek novel substances. Second, the gut microbiota is involved in the decomposition and absorption of drugs. Symptoms of individuals who suffer from DUDs are also related to intestinal microorganisms. Third, the effects of the GM and its metabolites on drug relapse are mainly reflected in the reward effect and drug memory. In conclusion, recent studies have preliminarily explored the relationship between GM and DUDs. This review deepens our understanding of the mechanisms of DUDs and provides important information for the future development of clinical treatment for DUDs.

OsRac5 belongs to the rice Rho of plants family, and acts as the molecular switch in the signal pathway which is pivotally involved in the rice fertility control. One of its putative partners, OsMY1, was isolated by yeast two-hybrid screening from rice panicle cDNA library. Bioinformatics analysis shows that OsMY1 contains a coiled-coil domain which generally appeared in the partners of Rho GTPases. By yeast two-hybrid assay, it is confirmed that OsMY1 binds both the wild type (WT) and constitutively active (CA) OsRac5, but does not interact with dominantly negative OsRac5. In addition, the interactions between OsMY1 and WT-OsRac5 or CA-OsRac5 in vivo are demonstrated by bimolecular fluorescence complementation assay. Using PCR-mediated sequence deletion and point mutation of OsMY1, the interaction between OsMY1 and OsRac5 was identified to be mediated by the coiled-coil domain in OsMY1, and their binding was quantified by O-nitro-phenyl-β-D-galactopyranoside assay. Real-time PCR shows that OsMY1 and OsRac5 are coordinately expressed in rice leaves and panicles with similar expression patterns. Our results suggest that OsMY1 is an important target of OsRac5 and that these two genes are involved in the same biological processes in rice growth and development.