Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments

How do bacteria grow and replicate rapidly? How do viruses and phages adapt to their host environments? Bacteria require efficient translation to grow and replicate rapidly, and translation is often rate-limited by initiation. A feature that is conserved across bacterial lineages is the Shine-Dalgar...

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Main Author: Wei, Yulong
Other Authors: Xia, Xuhua
Format: Others
Language:en
Published: Université d'Ottawa / University of Ottawa 2021
Subjects:
Online Access:http://hdl.handle.net/10393/42422
http://dx.doi.org/10.20381/ruor-26642
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spelling ndltd-uottawa.ca-oai-ruor.uottawa.ca-10393-424222021-07-21T05:29:36Z Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments Wei, Yulong Xia, Xuhua Bioinformatics Evolutionary genomics Bacteria SARS-CoV-2 Microbial genome Computational biology How do bacteria grow and replicate rapidly? How do viruses and phages adapt to their host environments? Bacteria require efficient translation to grow and replicate rapidly, and translation is often rate-limited by initiation. A feature that is conserved across bacterial lineages is the Shine-Dalgarno (SD) sequence at the mRNA 5’ UTR, which pairs with the anti-SD sequence located at the 3’ end of mature 16S rRNA. Nonetheless, much about this interaction remains unclear. Chapter 2 reveals evolutionary differences between Cyanobacteria and chloroplast translation initiation using a new model (DtoStart) that better define optimal SD sequence and an RNA-Seq-based approach that reliably characterize the 3’ end of mature 16S rRNAs. Efficacy of translation elongation depends much on tRNA-mediated codon adaptation. In Escherichia coli, selection favours major codons because they are rapidly decoded by abundantly available cognate tRNAs. Nonetheless, the degree codon bias correlates with tRNA availability is unclear in many bacterial species because tRNA abundance is often inadequately approximated by gene copy numbers. To better understand tRNA-mediated codon bias, Chapter 3 describes an RNA-Seq-based approach to robustly quantify tRNA abundance. Finally, Chapter 4 evaluates the degree optimal translation initiation and elongation signals affect ribosome dynamics. The emergence of COVID-19 pandemic poses a serious global health emergency. To establish infection during cell entry, the coronavirus Spike protein binds to the host ACE2 receptor, and a high binding potential between these two players is key to infectivity. While SARS-CoV-2 transmits efficiently in humans, it is less clear which other mammals are at risk of being infected. Chapter 5 investigates the host range of SARS-CoV-2 through comparative sequence analyses at the ACE2 receptors and the Spike proteins. As obligate parasites, coronaviruses regularly infect host tissues that express antiviral proteins (AVPs) in abundance and must evade or adapt to the host cellular environments post-entry. Two AVPs that shape viral genomes are ZAP that binds to CpG dinucleotides to facilitate viral transcript degradation, and APOBEC3 which deaminates C into U leading to dysfunctional transcripts. Chapter 6 shows that coronavirus genomes are CpG deficient to evade ZAP and are subjected to constant C to U deamination by APOBEC3. This thesis examines two key concepts of microbial genome evolution: 1) coevolution between gene features and the translation machinery in bacteria, and 2) adaptation of viruses to the hosts they infect. Chapters 2, 3, and 4 are aimed at improving our understanding in bacterial gene expression in the applications of transgenic biosynthesis and phage therapy. Chapters 5 and 6 are aimed at improving our understanding in the origin and evolution of SARS-CoV-2 and our ability to control the spread of infection. 2021-07-19T18:30:02Z 2021-07-19T18:30:02Z 2021-07-19 Thesis http://hdl.handle.net/10393/42422 http://dx.doi.org/10.20381/ruor-26642 en application/pdf Université d'Ottawa / University of Ottawa
collection NDLTD
language en
format Others
sources NDLTD
topic Bioinformatics
Evolutionary genomics
Bacteria
SARS-CoV-2
Microbial genome
Computational biology
spellingShingle Bioinformatics
Evolutionary genomics
Bacteria
SARS-CoV-2
Microbial genome
Computational biology
Wei, Yulong
Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments
description How do bacteria grow and replicate rapidly? How do viruses and phages adapt to their host environments? Bacteria require efficient translation to grow and replicate rapidly, and translation is often rate-limited by initiation. A feature that is conserved across bacterial lineages is the Shine-Dalgarno (SD) sequence at the mRNA 5’ UTR, which pairs with the anti-SD sequence located at the 3’ end of mature 16S rRNA. Nonetheless, much about this interaction remains unclear. Chapter 2 reveals evolutionary differences between Cyanobacteria and chloroplast translation initiation using a new model (DtoStart) that better define optimal SD sequence and an RNA-Seq-based approach that reliably characterize the 3’ end of mature 16S rRNAs. Efficacy of translation elongation depends much on tRNA-mediated codon adaptation. In Escherichia coli, selection favours major codons because they are rapidly decoded by abundantly available cognate tRNAs. Nonetheless, the degree codon bias correlates with tRNA availability is unclear in many bacterial species because tRNA abundance is often inadequately approximated by gene copy numbers. To better understand tRNA-mediated codon bias, Chapter 3 describes an RNA-Seq-based approach to robustly quantify tRNA abundance. Finally, Chapter 4 evaluates the degree optimal translation initiation and elongation signals affect ribosome dynamics. The emergence of COVID-19 pandemic poses a serious global health emergency. To establish infection during cell entry, the coronavirus Spike protein binds to the host ACE2 receptor, and a high binding potential between these two players is key to infectivity. While SARS-CoV-2 transmits efficiently in humans, it is less clear which other mammals are at risk of being infected. Chapter 5 investigates the host range of SARS-CoV-2 through comparative sequence analyses at the ACE2 receptors and the Spike proteins. As obligate parasites, coronaviruses regularly infect host tissues that express antiviral proteins (AVPs) in abundance and must evade or adapt to the host cellular environments post-entry. Two AVPs that shape viral genomes are ZAP that binds to CpG dinucleotides to facilitate viral transcript degradation, and APOBEC3 which deaminates C into U leading to dysfunctional transcripts. Chapter 6 shows that coronavirus genomes are CpG deficient to evade ZAP and are subjected to constant C to U deamination by APOBEC3. This thesis examines two key concepts of microbial genome evolution: 1) coevolution between gene features and the translation machinery in bacteria, and 2) adaptation of viruses to the hosts they infect. Chapters 2, 3, and 4 are aimed at improving our understanding in bacterial gene expression in the applications of transgenic biosynthesis and phage therapy. Chapters 5 and 6 are aimed at improving our understanding in the origin and evolution of SARS-CoV-2 and our ability to control the spread of infection.
author2 Xia, Xuhua
author_facet Xia, Xuhua
Wei, Yulong
author Wei, Yulong
author_sort Wei, Yulong
title Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments
title_short Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments
title_full Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments
title_fullStr Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments
title_full_unstemmed Microbes Carry Distinct Genomic Signatures in Adaptation to Their Translation Machinery and Host Environments
title_sort microbes carry distinct genomic signatures in adaptation to their translation machinery and host environments
publisher Université d'Ottawa / University of Ottawa
publishDate 2021
url http://hdl.handle.net/10393/42422
http://dx.doi.org/10.20381/ruor-26642
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