“…We anticipated RNAs transcribed from autonomous intergenic regions (IGR) that activated or inhibited the translation of specific target mRNAs. Instead, we found an amazing complexity: sRNAs derived by processing from longer RNAs (Chao, Papenfort, Reinhardt, Sharma, & Vogel, 2012;Wadler & Vanderpool, 2007), bifunctional sRNAs that encode proteins (Gimpel, Heidrich, Mader, Krugel, & Brantl, 2010;Janzon, L€ ofdahl, & Arvidson, 1989;Novick et al, 1993;Wadler & Vanderpool, 2007), sRNAs that are decoys or act on other sRNAs (G€ opel, Papenfort, Reichenbach, Vogel, & G€ orke, 2013;Miyakoshi, Chao, & Vogel, 2015;Tree, Granneman, McAteer, Tollervey, & Gally, 2014), sRNAs that are regulatory targets of "trap" mRNAs (Figueroa-Bossi, Valentini, Malleret, Fiorini, & Bossi, 2009;Overgaard, Johansen, Moller-Jensen, & ValentinHansen, 2009), antisense-type sRNAs that moonlight as protein sequestrators (Jorgensen, Thomason, Havelund, Valentin-Hansen, & Storz, 2013), riboswitches that act as antisense-or protein-sequestrating sRNAs (DebRoy et al, 2014;Loh et al, 2009;Mellin et al, 2014), as well as protein factordependent or -independent sRNAs, antisense transcripts from many genomic locations (Lasa et al, 2011;Lybecker, Zimmermann, Bilusic, Tukhtubaeva, & Schroeder, 2014;Sharma et al, 2010), and a growing palette of mechanisms by which sRNAs affect gene expression. We will show specific examples that highlight the diversity of mechanisms, and will discuss the emerging impact of sRNAs on global regulatory circuits, where sRNAs either replace transcription factors (TFs) as regulatory nodes in network motifs, or add a second layer of posttranscriptional control with particular properties.…”