@article{fernandez-moreno_yaschenko_neubauer_marchi_zhao_ascencio-ibanez_alonso_stepanova_2024, title={A rapid and scalable approach to build synthetic repetitive hormone-responsive promoters}, volume={2}, ISSN={["1467-7652"]}, url={https://doi.org/10.1111/pbi.14313}, DOI={10.1111/pbi.14313}, abstractNote={Advancement of DNA-synthesis technologies has greatly facilitated the development of synthetic biology tools. However, high-complexity DNA sequences containing tandems of short repeats are still notoriously difficult to produce synthetically, with commercial DNA synthesis companies usually rejecting orders that exceed specific sequence complexity thresholds. To overcome this limitation, we developed a simple, single-tube reaction method that enables the generation of DNA sequences containing multiple repetitive elements. Our strategy involves commercial synthesis and PCR amplification of padded sequences that contain the repeats of interest, along with random intervening sequence stuffers that include type IIS restriction enzyme sites. GoldenBraid molecular cloning technology is then employed to remove the stuffers, rejoin the repeats together in a predefined order, and subclone the tandem(s) in a vector using a single-tube digestion-ligation reaction. In our hands, this new approach is much simpler, more versatile and efficient than previously developed solutions to this problem. As a proof of concept, two different phytohormone-responsive, synthetic, repetitive proximal promoters were generated and tested in planta in the context of transcriptional reporters. Analysis of transgenic lines carrying the synthetic ethylene-responsive promoter 10x2EBS-S10 fused to the GUS reporter gene uncovered several developmentally regulated ethylene response maxima, indicating the utility of this reporter for monitoring the involvement of ethylene in a variety of physiologically relevant processes. These encouraging results suggest that this reporter system can be leveraged to investigate the ethylene response to biotic and abiotic factors with high spatial and temporal resolution.}, journal={PLANT BIOTECHNOLOGY JOURNAL}, author={Fernandez-Moreno, Josefina-Patricia and Yaschenko, Anna E. and Neubauer, Matthew and Marchi, Alex J. and Zhao, Chengsong and Ascencio-Ibanez, Jose T. and Alonso, Jose M. and Stepanova, Anna N.}, year={2024}, month={Feb} }
 @article{yaschenko_alonso_stepanova_2024, title={Arabidopsis as a model for translational research}, ISSN={["1532-298X"]}, url={https://doi.org/10.1093/plcell/koae065}, DOI={10.1093/plcell/koae065}, abstractNote={Arabidopsis thaliana is currently the most-studied plant species on earth, with an unprecedented number of genetic, genomic, and molecular resources having been generated in this plant model. In the era of translating foundational discoveries to crops and beyond, we aimed to highlight the utility and challenges of using Arabidopsis as a reference for applied plant biology research, agricultural innovation, biotechnology, and medicine. We hope that this review will inspire the next generation of plant biologists to continue leveraging Arabidopsis as a robust and convenient experimental system to address fundamental and applied questions in biology. We aim to encourage lab and field scientists alike to take advantage of the vast Arabidopsis datasets, annotations, germplasm, constructs, methods, molecular and computational tools in our pursuit to advance understanding of plant biology and help feed the world's growing population. We envision that the power of Arabidopsis-inspired biotechnologies and foundational discoveries will continue to fuel the development of resilient, high-yielding, nutritious plants for the betterment of plant and animal health and greater environmental sustainability.}, journal={PLANT CELL}, author={Yaschenko, Anna E. and Alonso, Jose M. and Stepanova, Anna N.}, year={2024}, month={Feb} }
 @misc{yaschenko_fenech_mazzoni-putman_alonso_stepanova_2022, title={Deciphering the molecular basis of tissue-specific gene expression in plants: Can synthetic biology help?}, volume={68}, ISSN={["1879-0356"]}, url={https://doi.org/10.1016/j.pbi.2022.102241}, DOI={10.1016/j.pbi.2022.102241}, abstractNote={Gene expression differences between distinct cell types are orchestrated by specific sets of transcription factors and epigenetic regulators acting upon the genome. In plants, the mechanisms underlying tissue-specific gene activity remain largely unexplored. Although transcriptional and epigenetic profiling of individual organs, tissues, and more recently, of single cells can easily detect the molecular signatures of different biological samples, how these unique cell identities are established at the mechanistic level is only beginning to be decoded. Computational methods, including machine learning, used in combination with experimental approaches, enable the identification and validation of candidate cis-regulatory elements driving cell-specific expression. Synthetic biology shows great promise not only as a means of testing candidate DNA motifs but also for establishing the general rules of nature driving promoter architecture and for the rational design of genetic circuits in research and agriculture to confer tissue-specific expression to genes or molecular pathways of interest.}, journal={CURRENT OPINION IN PLANT BIOLOGY}, publisher={Elsevier BV}, author={Yaschenko, Anna E. and Fenech, Mario and Mazzoni-Putman, Serina and Alonso, Jose M. and Stepanova, Anna N.}, year={2022}, month={Aug} }