<?xml version="1.0" encoding="UTF-8"?><item href="/people/mauricio-antunes.html" dsn="people"><first_name>Mauricio</first_name><last_name>Antunes</last_name><prefixes/><pronouns/><post_nominals/><title-1>Associate Professor- Plant Molecular Biology</title-1><title-2/><title-3/><title-4/><department>Biochemistry and Molecular Biology,Biotechnology,Faculty,Genetics,Plant Biology</department><type/><email>mauricio.antunes@unt.edu</email><phone>940-369-5457</phone><image><img src="/images/biology.unt.edu/files/images/faculty/photos/mauricio20antunes202.jpg" alt="Mauricio Antunes"/></image><office>126 Science Research Building</office><address/><office-hours/><types/><departments><department>Biochemistry and Molecular Biology</department><department>Biotechnology</department><department>Faculty</department><department>Genetics</department><department>Plant Biology</department></departments><main-content>http://bdi.unt.edu/mauricio-antunes 
Highlights: 

Dr. Antunes’ research interests include plant molecular biology, synthetic biology and biotechnology.

Antunes Lab Page
Google Scholar
Dr. Mauricio Antunes teaches classes in the following subjects: general biology, biochemistry &amp; molecular biology, and a molecular microbiology research laboratory.
Degrees:
Doctor of Philosophy in Plant Molecular Biology, Purdue University
Master of Science in Crop Production, Universidade Federal de Viçosa, Brazil
Bachelor of Science in Agronomy, Universidade Federal de Viçosa, Brazil
Experience:
Antunes' specific research projects are in the following topics:

Synthetic transcriptional and post-transcriptional control systems modulated by inputs.
Small RNAs as mobile signaling molecules in plants.
Engineering complex synthetic genetic circuits to improve plant production and biosynthesis.
Re-wiring metabolic pathways in plants using gene regulatory controls.

Selected Publications:

Strader, L.C.; Chen, T.; Dong, X.; Edwards, D.; Sureshkumar, S.; Balasubramanian, S.; Antunes, M.S.; Zebluim, L.; Chaisupa, P.; Wright, R.C. (2025) Core biological principles and tools stemming from basic Arabidopsis research. The Plant Cell 37(7): koaf141. https://doi.org/10.1093/plcell/koaf141
Kassaw, T.K.; Xu, W.; Zalewski, C.S.; Kiwimagi, K.; Weiss, R.; Antunes, M.S.; Prasad, A.; Medford, J.I. (2025) Genetic Toggle Switch in Plants. ACS Synthetic Biology, 14(6):1988-2001. https://doi.org/10.1021/acssynbio.4c00777
Ferreira, S.S; Pandey, S.; Hemminger, J.; Bozdag, S.; Antunes, M.S. (2025) Early changes in microRNA expression in Arabidopsis plants infected with the fungal pathogen Fusarium graminearum. PLoS ONE 20(2): e0318532. https://doi.org/10.1371/journal.pone.0318532
Ferreira, S.S.; Antunes, M.S. (2024) Genetically encoded Boolean logic operators to sense and integrate phenylpropanoid metabolite levels in plants. New Phytologist, 243(2): 674-687. https://doi.org/10.1111/nph.19823
Anderson, C.E.; Ferreira, S.S.; Antunes, M.S. (2023) Integration of multiple stress signals in plants using synthetic Boolean logic gates. Plant Physiology, 192(4): 3189-3202. https://doi.org/10.1093/plphys/kiad254
Ferreira, S.S.; Anderson, C.E.; Antunes, M.S. (2023) A logical way to reprogram plants. Biochemical and Biophysical Research Communications, 654: 80-86. https://doi.org/10.1016/j.bbrc.2023.02.080
Amack, S.C.; Ferreira, S.S.; Antunes, M.S. (2023) Tuning the Transcriptional Activity of the CaMV 35S Promoter in Plants by Single-Nucleotide Changes in the TATA Box. ACS Synthetic Biology 12(1): 178-185. https://doi.org/10.1021/acssynbio.2c00457
Ferreira, S.S.; Antunes, M.S. (2021) Re-engineering plant phenylpropanoid metabolism with the aid of synthetic biosensors. Frontiers in Plant Science 12:701385. https://doi.org/10.3389/fpls.2021.701385
Amack, S.C.; Antunes, M.S. (2020) CaMV35S promoter - A plant biology and biotechnology workhorse in the era of synthetic biology. Current Plant Biology 24: 100179. https://doi.org/10.1016/j.cpb.2020.100179
Kassaw, T.K.; Donayre-Torres, A.J.; Antunes, M.S.; Morey, K.J.; Medford, J.I. (2018) Engineering Synthetic Regulatory Circuits in Plants. Plant Science 273: 13-22. https://doi.org/10.1016/j.plantsci.2018.04.005
Bick, M.J.; Greisen, P.J.; Morey, K.J.; Antunes, M.S.; La, D.; Sankaran, B.; Reymond, L.; Johnsson, K.; Medford, J.I.; Baker, D. (2017) Computational design of environmental sensors for the potent opioid fentanyl. eLife 6: e28909. https://doi.org/10.7554/eLife.28909
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