Teleosts are unique among vertebrates, with a wide range of haploid genome sizes in very close lineages, varying from less than 400 mega base pairs (Mb) for pufferfish to over 3000 Mb for salmon. The cause of the difference in genome size remains largely unexplained. In this study, we reveal that the differential success of transposable elements (TEs) correlates with the variation of genome size across four representative teleost species (zebrafish, medaka, stickleback, and tetraodon). The larger genomes represent a higher diversity within each clade (superfamily) and family and a greater abundance of TEs compared with the smaller genomes; zebrafish, representing the largest genome, shows the highest diversity and abundance of TEs in its genome, followed by medaka and stickleback; while the tetraodon, representing the most compact genome, displays the lowest diversity and density of TEs in its genome. Both of Class I (retrotransposons) and Class II TEs (DNA transposons) contribute to the difference of TE accumulation of teleost genomes, however, Class II TEs are the major component of the larger teleost genomes analyzed and the most important contributors to genome size variation across teleost lineages. The hAT and Tc1/Mariner superfamilies are the major DNA transposons of all four investigated teleosts. Divergence distribution revealed contrasting proliferation dynamics both between clades of retrotransposons and between species. The TEs within the larger genomes of the zebrafish and medaka represent relatively stronger activity with an extended time period during the evolution history, in contrast with the very young activity in the smaller stickleback genome, or the very low level of activity in the tetraodon genome. Overall, our data shows that teleosts represent contrasting profiles of mobilomes with a differential density, diversity and activity of TEs. The differences in TE accumulation, dominated by DNA transposons, explain the main size variations of genomes across the investigated teleost species, and the species differences in both diversity and activity of TEs contributed to the variations of TE accumulations across the four teleost species. TEs play major roles in teleost genome evolution.

Biotic and abiotic stresses negatively affect the yield and overall plant developmental process, thus causing substantial losses in global sweet potato production. To cope with stresses, sweet potato has evolved numerous strategies to tackle ever-changing surroundings and biological and environmental conditions. The invention of modern sequencing technology and the latest data processing and analysis instruments has paved the way to integrate biological information from different approaches and helps to understand plant system biology more precisely. The advancement in omics technologies has accumulated and provided a great source of information at all levels (genome, transcript, protein, and metabolite) under stressful conditions. These latest molecular tools facilitate us to understand better the plant’s responses to stress signaling and help to process/integrate the biological information encoded within the biological system of plants. This review briefly addresses utilizing the latest omics strategies for deciphering the adaptive mechanisms for sweet potatoes’ biotic and abiotic stress tolerance via functional genomics, transcriptomics, proteomics, and metabolomics. This information also provides a powerful reference to understand the complex, well-coordinated stress signaling genetic regulatory networks and better comprehend the plant phenotypic responses at the cellular/molecular level under various environmental stimuli, thus accelerating the design of stress-resilient sweet potato via the latest genetic engineering approaches.

Metformin is a widely used antidiabetic drug for the treatment of type 2 diabetes and has been recently demonstrated to possess anti-inflammatory properties via AMPK-mediated modulation of M2 macrophage activation. However, the anti-inflammatory mechanisms of metformin on inflammatory macrophages are still not fully elucidated. In this study, we found that metformin induced apoptosis in macrophages. In particular, metformin induced apoptosis of M1 macrophages, based on M1 marker genes in apoptotic macrophages. Next, we comprehensively screened metformin-responsive genes in macrophages by RNA-seq and focused on the extrinsic apoptotic signaling pathway. The G0/G1 switch 2 gene (G0S2) was robustly up-regulated by metformin in macrophages. Overexpression of G0S2 significantly induced apoptosis of macrophages in a dose-dependent manner and blunted the function of the crucial anti-apoptotic gene Bcl-2, which was significantly reduced by metformin. These findings show that metformin promoted apoptosis of macrophages, especially M1 macrophages, via G0S2 induction and provides a novel anti-inflammatory mechanism of metformin through induction of macrophage apoptosis.

Although transposon-mediated enhancer trapping (ET) is successfully applied in diverse models, the efficiency of various transposon systems varies significantly, and little information is available regarding efficiency of enhancer trapping by various transposons in zebrafish. Most potential enhancers (Ens) still lack evidence of actual En activity. Here, we compared the differences in ET efficiency between sleeping beauty (SB), piggyBac (PB) and Tol2 transposons. Tol2 represented the highest germline transfer efficiencies at 55.56% (N_F0 = 165), followed by SB (38.36%, N_F0 = 151) and PB (32.65%, N_F0 = 149). ET lines generated by the Tol2 transposon tended to produce offspring with a single expression pattern per line, while PB and SB tended to generate embryos with multiple expression patterns. In our tests, 10 putative Ens (En1–10) were identified by splinkerette PCR and comparative genomic analysis. Combining the GFP expression profiles and mRNA expression patterns revealed that En1 and En2 may be involved in regulation of the expression of dlx1a and dlx2a, while En6 may be involved in regulation of the expression of line TK4 transgene and rps26, and En7 may be involved in the regulation of the expression of wnt1 and wnt10b. Most identified Ens were found to be transcribed in zebrafish embryos, and their regulatory function may involve eRNAs.