image: Getty / byakkaya
Bacterial infections cause millions of deaths each year, with the global threat made worse by the increasing resistance of the microbes to antibiotic treatments. This is due in part to the ability of bacteria to switch genes on and off as they sense environmental changes, such as the presence of drugs. Such switching is accomplished through transcription, which converts the DNA in genes into its chemical cousin in mRNA, which guides the building of proteins that make up the microbes鈥 structure.
For this reason, understanding how mRNA production is regulated for each bacterial gene is central to efforts to counter resistance, but approaches used to study this regulation to date have been laborious. In a new study, scientists revealed a trick that may speed such efforts.
Researchers from NYU Grossman School of Medicine and the University of Illinois Urbana-Champaign showed that the way in which genes are turned on and off as bacteria grow provides clues to their regulation.
According to the study authors, organisms from bacteria to humans grow as their cells multiply by dividing, with each cell becoming two. Before cells divide, they must copy their DNA so that each of the two 鈥渄aughter鈥 cells has a copy. To do so, a molecular machine called DNA polymerase ticks down the DNA chain, reading and making a copy of each gene, one by one.
, the study adds to explanations of how gene expression throughout the genome is shaped by DNA replication during bacterial growth. Specifically, the research team found that when DNA polymerase arrives at any specific gene, it disrupts the transcription in a way that reveals the state of that gene鈥檚 regulatory status.
鈥淥ur study results show that the constant replication of genes during the cell cycle as the bacterial cells reproduce and grow can be exploited to learn about many aspects of how genes are regulated,鈥 said study lead investigator Andrew Pountain, PhD, a postdoctoral research fellow at 嘿嘿视频 Health and its .
鈥淲e like the analogy of the electrocardiogram in medicine,鈥 said , the senior investigator of the study, a member of the institute, and a professor in the . By monitoring patterns of electrical activity in the heart, the ECG reveals a series of waves that provide a detailed, graphical view into a patient鈥檚 cardiac health. Similarly, waves of changes in abundance of mRNA in response to a gene鈥檚 replication produce a signature on a graph, which the authors termed the transcription鈥搑eplication interaction profile, or TRIP.
The researchers showed how specific waves can be linked to certain features. For example, whether a gene is under a specific form of control, known as repression, where a protein blocks that gene鈥檚 mRNA from being made. These repressed genes were found to have characteristic, spiked TRIP patterns.
鈥淥ur aim is to understand how gene regulation shapes these TRIPs, with a goal of using them to diagnose gene regulation across the entire set of thousands of genes in the bacterium,鈥 added Dr. Yanai. 鈥淲e hope that our further investigations of gene expression profiles will offer insight into how groups of genes respond to disruptions or changes in their environment.鈥
The team plans to next investigate the specific TRIPs of genes known to be involved in the ability of bacteria to cause disease for clues in how to interrupt or stall it. Ultimately, they believe that improvements in technology will enable them to dive ever deeper into gene behaviors in different bacterial species.
The new study was made possible because of technological advances in tracking gene activity in individual cells in real time through scRNA-seq, or single-cell sequencing, and smFISH, short for single-molecule fluorescence in situ hybridization.
Funding support for this study was provided by National Institutes of Health grants R21AI169350, R01AI143290, R01AI137336, and R36GM140709. Additional funding support came from the Alfred P. Sloan Foundation and the Ralph O. Simmons Undergraduate Research Scholarship.
Besides Dr. Pountain and Dr. Yanai, other 嘿嘿视频 researchers involved in this study are Peien Jiang; Magdalena Podkowik, DVM, PhD; Bo Shopsin, MD, PhD; and . Study co-investigators also include Tianyou Yao, Ehsan Homaee, Yichao Guan, Kevin McDonald, and Ido Golding, at the University of Illinois Urbana-Champaign.
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