Microbial Evolutionary Genomics and Bioinformatics

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Microbiomes".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 614

Special Issue Editor


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Guest Editor
1. CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixoes, Av. General Norton de Matos, s/n, 4450-208 Porto, Portugal
2. Department of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
Interests: genomics (from animals to microorganisms); evolution, molecular ecology; conservation; biotechnology; bioinformatics
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Special Issue Information

Dear Colleagues,

This Special Issue is a curated collection that brings together the latest research at the intersection of microbial evolution, genomics, and bioinformatics. This issue aims to provide a comprehensive overview of how advanced computational methods and genomic data are revolutionizing our understanding of microbial life and its evolutionary history. The key themes and topics covered in this Special Issue include, but are not limited to:

  1. Microbiomes genomics;
  2. Bacteria genomics diversity and evolution;
  3. Virus genomics and evolution;
  4. Microbial pathogenicity genomics;
  5. Bioinformatics advances in microbial research;
  6. Microbial-genome-encoded bioactive molecules. 

Research articles and comprehensive reviews are also welcome.

You may choose our Joint Special Issue in Applied Microbiology.

Prof. Dr. Agostinho Antunes
Guest Editor

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Keywords

  • microbiomes genomics
  • bacteria genomics diversity and evolution
  • irus genomics and evolution
  • microbial pathogenicity genomics
  • bioinformatics advances in microbial research
  • microbial-genome-encoded bioactive molecules

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Published Papers (1 paper)

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Research

19 pages, 11266 KiB  
Article
Molecular Evolutionary Analyses of the RNA-Dependent RNA Polymerase (RdRp) Region and VP1 Gene in Sapovirus GI.1 and GI.2
by Fuminori Mizukoshi, Ryusuke Kimura, Tatsuya Shirai, Asumi Hirata-Saito, Eri Hiraishi, Kosuke Murakami, Yen Hai Doan, Hiroyuki Tsukagoshi, Nobuhiro Saruki, Takeshi Tsugawa, Kana Kidera, Yoshiyuki Suzuki, Naomi Sakon, Kazuhiko Katayama, Tsutomu Kageyama, Akihide Ryo and Hirokazu Kimura
Microorganisms 2025, 13(2), 322; https://doi.org/10.3390/microorganisms13020322 - 1 Feb 2025
Viewed by 338
Abstract
Human sapovirus (HuSaV) is a significant cause of gastroenteritis. This study aims to analyze the evolutionary dynamics of the RNA-dependent RNA polymerase (RdRp) and capsid (VP1) genes of the HuSaV GI.1 and GI.2 genotypes between 1976 and 2020. Using [...] Read more.
Human sapovirus (HuSaV) is a significant cause of gastroenteritis. This study aims to analyze the evolutionary dynamics of the RNA-dependent RNA polymerase (RdRp) and capsid (VP1) genes of the HuSaV GI.1 and GI.2 genotypes between 1976 and 2020. Using bioinformatics tools such as the Bayesian phylogenetics software BEAST 2 package (v.2.7.6), we constructed time-scale evolutionary trees based on the gene sequences. Most of the recent common ancestors (MRCAs) of the RdRp region and VP1 gene in the present HuSaV GI.1 diverged around 1930 and 1933, respectively. The trees of the HuSaV GI.1 RdRp region and VP1 gene were divided into two clusters. Further, the MRCAs of the RdRp region and VP1 gene in HuSaV GI.2 diverged in 1960 and 1943, respectively. The evolutionary rates were higher for VP1 gene in HuSaV GI.1 than that in HuSaV GI.2, furthermore, were higher in GI.1 Cluster B than GI.1 Cluster A. In addition, a steep increase was observed in the time-scaled genome population size of the HuSaV GI.1 Cluster B. These results indicate that the HuSaV GI.1 Cluster B may be evolving more actively than other genotypes. The conformational B-cell epitopes were predicted with a higher probability in RdRp for GI.1 and in VP1 for GI.2, respectively. These results suggest that the RdRp region and VP1 gene in HuSaV GI.1 and GI.2 evolved uniquely. These findings suggest unique evolutionary patterns in the RdRp region and VP1 gene of HuSaV GI.1 and GI.2, emphasizing the need for a ‘One Health’ approach to better understand and combat this pathogen. Full article
(This article belongs to the Special Issue Microbial Evolutionary Genomics and Bioinformatics)
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