Characterizing standard genetic parts and establishing common principles for engineering legume and cereal roots

Plant synthetic biology and cereal engineering depend on the controlled expression of transgenes of interest. Most engineering in plant species to date has relied heavily on the use of a few, well‐established constitutive promoters to achieve high levels of expression; however, the levels of transgene expression can also be influenced by the use of codon optimization, intron‐mediated enhancement and varying terminator sequences. Most of these alternative approaches for regulating transgene expression have only been tested in small‐scale experiments, typically testing a single gene of interest. It is therefore difficult to interpret the relative importance of these approaches and to design engineering strategies that are likely to succeed in different plant species, particularly if engineering multigenic traits where the expression of each transgene needs to be precisely regulated. Here, we present data on the characterization of 46 promoters and 10 terminators in Medicago truncatula, Lotus japonicus, Nicotiana benthamiana and Hordeum vulgare, as well as the effects of codon optimization and intron‐mediated enhancement on the expression of two transgenes in H. vulgare. We have identified a core set of promoters and terminators of relevance to researchers engineering novel traits in plant roots. In addition, we have shown that combining codon optimization and intron‐mediated enhancement increases transgene expression and protein levels in barley. Based on our study, we recommend a core set of promoters and terminators for broad use and also propose a general set of principles and guidelines for those engineering cereal species.     

Features for computational operon prediction in prokaryotes

Accurate prediction of operons can improve the functional annotation and application of genes within operons in prokaryotes. Here, we review several features: (i) intergenic distance, (ii) metabolic pathways, (iii) homologous genes, (iv) promoters and terminators, (v) gene order conservation, (vi) microarray, (vii) clusters of orthologous groups, (viii) gene length ratio, (ix) phylogenetic profiles, (x) operon length/size and (xi) STRING database scores, as well as some other features, which have been applied in recent operon prediction methods in prokaryotes in the literature. Based on a comparison of the prediction performances of these features, we conclude that other, as yet undiscovered features, or feature selection with a receiver operating characteristic analysis before algorithm processing can improve operon prediction in prokaryotes.     

Differential contribution to gene expression prediction of histone modifications at enhancers or promoters

The ChIP-seq signal of histone modifications at promoters is a good predictor of gene expression in different cellular contexts, but whether this is also true at enhancers is not clear. To address this issue, we develop quantitative models to characterize the relationship of gene expression with histone modifications at enhancers or promoters. We use embryonic stem cells (ESCs), which contain a full spectrum of active and repressed (poised) enhancers, to train predictive models. As many poised enhancers in ESCs switch towards an active state during differentiation, predictive models can also be trained on poised enhancers throughout differentiation and in development. Remarkably, we determine that histone modifications at enhancers, as well as promoters, are predictive of gene expression in ESCs and throughout differentiation and development. Importantly, we demonstrate that their contribution to the predictive models varies depending on their location in enhancers or promoters. Moreover, we use a local regression (LOESS) to normalize sequencing data from different sources, which allows us to apply predictive models trained in a specific cellular context to a different one. We conclude that the relationship between gene expression and histone modifications at enhancers is universal and different from promoters. Our study provides new insight into how histone modifications relate to gene expression based on their location in enhancers or promoters.     

Co-silencing of homologous transgenes in tobacco

Two transgenes inserted into different genomic positions can co-inactivate each other when they share homologous sequences while each of the two homologous transgenes is stably expressed in the absence of a second homologous copy. To evaluate the efficiency of such homology-dependent gene silencing (HDGS) effects, we have produced 19 tobacco transformants that contained a stably expressed NPTII transgene inserted into a single genomic locus, and have analysed the stability of each transgene in the presence of a second stably expressed homologous transgene. All transformants shared the coding region of the NPTII gene but individual transformants differed in transgene copy number, expression levels and in the continuity of the transgene homology due to the insertion of introns into the NPTII region as well as the use of different promoters and terminators for the design of the transgene constructs. We generated 189 progeny populations representing all possible dual combinations among the 19 lines and analysed the kanamycin resistance of 400 seedlings of each cross. Our data show (1) that gene silencing occurs at a relative low frequency when transgenic loci sharing an homology at the coding sequence level are combined, and (2) that neither the variation of this homology by insertion of introns in the coding sequence, or by changing the promoter and terminator of the construct, nor the variation in the expression level of the transgene, are decisive parameters modifying the efficiency of co-silencing between two NPTII transgenes.