An inability to reliably predict quantitative behaviors for novel combinations of genetic elements limits the rational engineering of biological systems. We developed an expression cassette architecture for genetic elements controlling transcription and translation initiation in Escherichia coli: transcription elements encode a common mRNA start, and translation elements use an overlapping genetic motif found in many natural systems. We engineered libraries of constitutive and repressor-regulated promoters along with translation initiation elements following these definitions. We measured activity distributions for each library and selected elements that collectively resulted in expression across a 1,000-fold observed dynamic range. We studied all combinations of curated elements, demonstrating that arbitrary genes are reliably expressed to within twofold relative target expression windows with ∼93% reliability. We expect the genetic element definitions validated here can be collectively expanded to create collections of public-domain standard biological parts that support reliable forward engineering of gene expression at genome scales.

The reliable forward engineering of genetic systems remains limited by the ad hoc reuse of many types of basic genetic elements. Although a few intrinsic prokaryotic transcription terminators are used routinely, termination efficiencies have not been studied systematically. Here, we developed and validated a genetic architecture that enables reliable measurement of termination efficiencies. We then assembled a collection of 61 natural and synthetic terminators that collectively encode termination efficiencies across an ∼800-fold dynamic range within Escherichia coli. We simulated co-transcriptional RNA folding dynamics to identify competing secondary structures that might interfere with terminator folding kinetics or impact termination activity. We found that structures extending beyond the core terminator stem are likely to increase terminator activity. By excluding terminators encoding such context-confounding elements, we were able to develop a linear sequence-function model that can be used to estimate termination efficiencies (r = 0.9, n = 31) better than models trained on all terminators (r = 0.67, n = 54). The resulting systematically measured collection of terminators should improve the engineering of synthetic genetic systems and also advance quantitative modeling of transcription termination.

Growth is a major factor in plant organ morphogenesis and is influenced by exogenous and endogenous signals including hormones. Although recent studies have identified regulatory pathways for the control of growth during vegetative development, there is little mechanistic understanding of how growth is controlled during the reproductive phase. Using Arabidopsis fruit morphogenesis as a platform for our studies, we show that the microRNA miR172 is critical for fruit growth, as the growth of fruit is blocked when miR172 activity is compromised. Furthermore, our data are consistent with the FRUITFULL (FUL) MADS-domain protein and Auxin Response Factors (ARFs) directly activating the expression of a miR172-encoding gene to promote fruit valve growth. We have also revealed that MADS-domain (such as FUL) and ARF proteins directly associate in planta. This study defines a novel and conserved microRNA-dependent regulatory module integrating developmental and hormone signalling pathways in the control of plant growth.