Ribosomal RNA Transcription Machineries in Intestinal Protozoan Parasites: A Bioinformatic Analysis

Author:

Lagunas-Rangel Francisco AlejandroORCID

Abstract

Abstract Purpose Ribosome biogenesis is a key process in all living organisms, energetically expensive and tightly regulated. Currently, little is known about the components of the ribosomal RNA (rRNA) transcription machinery that are present in intestinal parasites, such as Giardia duodenalis, Cryptosporidium parvum, and Entamoeba histolytica. Thus, in the present work, an analysis was carried out looking for the components of the rRNA transcription machinery that are conserved in intestinal parasites and if these could be used to design new treatment strategies. Methods The different components of the rRNA transcription machinery were searched in the studied parasites with the NCBI BLAST tool in the EuPathDB Bioinformatics Resource Center database. The sequences of the RRN3 and POLR1F orthologs were aligned and important regions identified. Subsequently, three-dimensional models were built with different bioinformatic tools and a structural analysis was performed. Results Among the protozoa examined, C. parvum is the parasite with the fewest identifiable components of the rRNA transcription machinery. TBP, RRN3, POLR1A, POLR1B, POLR1C, POLR1D, POLR1F, POLR1H, POLR2E, POLR2F and POLR2H subunits were identified in all species studied. Furthermore, the interaction regions between RRN3 and POLR1F were found to be conserved and could be used to design drugs that inhibit rRNA transcription in the parasites studied. Conclusion The inhibition of the rRNA transcription machinery in parasites might be a new therapeutic strategy against these microorganisms.

Funder

Uppsala University

Publisher

Springer Science and Business Media LLC

Subject

Parasitology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Giardia lamblia Nucleolus as Drug Target: A Review;Pharmaceuticals;2023-08-16

2. The nucleolus of Giardia and its ribosomal biogenesis;Parasitology Research;2023-07-04

3. Prediction of resveratrol target proteins: a bioinformatics analysis;Journal of Biomolecular Structure and Dynamics;2023-04-03

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