Recent Advances in Evolutionary Genomics & Bioinformatics

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Biological Processes and Systems".

Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 3276

Special Issue Editors


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Guest Editor
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic
Interests: bioinformatics; functional genomics; systems biology; non-model bacterial strains; biotechnology, biorefinery, biofuels production, bioplastics production, circular economy

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Guest Editor
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic
Interests: comparative genomics; proteomics; genomic signal processing; phylogenetic; microbial diversity

Special Issue Information

Dear Colleagues,

Traditional biotechnologies suffer from the real limitation of the lack of fundamental knowledge regarding evolution of various microorganisms, including regulatory and signaling pathways hiding in their genomes, preventing the use of novel targeted genetic modifications or other interventions of metabolic engineering necessary to establish economically feasible processes. Novel methods, laboratory as well as computational, are needed to overcome these obstacles. Selection of naturally robust microorganisms, the key concept of Next Generation Industrial Biotechnology, cannot be done without comprehensive evolutionary characterization of newly discovered genomes or metagenomes of various microbial communities. Nowadays, novel technologies, especially the third generation sequencing platforms, bring new opportunities for evolutionary bioinformatics to supplement information on evolution by capturing epigenetic changes of genomes. Moreover, evolutionary genomics and bioinformatics are no longer only descriptive, but bring active tools for selection and genome engineering of microorganisms by the means of systems and synthetic biology. Such a controlled evolution is crucial for processes that could be used on an industrial scale in the future.

This Special Issue on “Recent Advances in Evolutionary Genomics & Bioinformatics” seeks high-quality work focusing on the latest approaches, methods, and algorithms for evolutionary genomics and bioinformatics or genome reports of novel organisms utilizable for bio-based chemical engineering. Topics include, but are not limited to:

  • Description and characterization of novel (meta)genomes utilizable in biotechnology
  • Evolutionary studies of genomes used for bio-based chemical engineering
  • Synthetic biology of organisms used for bio-based chemical engineering
  • Systems biology and in silico description of processes within industrially utilizable organisms
  • Third generation sequencing data mining for high-throughput multiomics analyses
  • Novel methods and computational tools for comparative and functional genomics

Dr. Karel Sedlar
Dr. Helena Skutkova
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • comparative genomics
  • evolutionary bioinformatics
  • biotechnology
  • microbiology
  • genome report
  • third generation sequencing
  • epigenetics
  • multiomics analysis

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Published Papers (1 paper)

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Research

12 pages, 1393 KiB  
Article
Identifying Shared Risk Genes between Nonalcoholic Fatty Liver Disease and Metabolic Traits by Cross-Trait Association Analysis
by Hongping Guo and Zuguo Yu
Processes 2021, 9(1), 107; https://doi.org/10.3390/pr9010107 - 7 Jan 2021
Viewed by 2205
Abstract
Nonalcoholic fatty liver disease (NAFLD) generally co-occurs with metabolic disorders, but it is unclear which genes have a pleiotripic effect on NAFLD and metabolic traits. We performed a large-scale cross-trait association analysis to identify the overlapping genes between NAFLD and nine metabolic traits. [...] Read more.
Nonalcoholic fatty liver disease (NAFLD) generally co-occurs with metabolic disorders, but it is unclear which genes have a pleiotripic effect on NAFLD and metabolic traits. We performed a large-scale cross-trait association analysis to identify the overlapping genes between NAFLD and nine metabolic traits. Among all the metabolic traits, we found that obesity and type II diabetes are associated with NAFLD. Then, a multitrait association analysis among NAFLD, obesity and type II diabetes was conducted to improve the overall statistical power. We identified 792 significant variants by a cross-trait meta-analysis involving 100 pleiotripic genes. Moreover, we detected another two common genes by a genome-wide gene test. The results from the pathway enrichment analysis show that the 102 shared risk genes are enriched in cancer, diabetes, insulin secretion, and other related pathways. This study can help us understand the molecular mechanisms underlying comorbid NAFLD and metabolic disorders. Full article
(This article belongs to the Special Issue Recent Advances in Evolutionary Genomics & Bioinformatics)
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