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Microbial Genomics and Surveillance: An
Overview Snapshot for a Layman’s
Understanding
Dr. Iwalokun, BA
Molecular Biology & Biotechnology Dept
NIMR, Lagos
Presentation Overview
• Microbial Genomics:
– Definition , Necessity and Goals
• Surveillance
– Definition, Essence and for what?
• Microbial Genomics and Surveillance
– Dynamics, Pattern of Interactions and drug resistance
Perspectives
• Nigerian Situation, Regarding Genomics
• & Way Forward
• Conclusion
• Acknowledgment
Microbial Genomics: Definitions
• Microbial Genomics can be defined as a component of Microbial
Genetics, which deals with:
– Sequencing
– Mapping &
– Functional analysis
Of genes and their genetic variants in the genomes of
microorganisms.
• Sequencing entails knowing the order of arrangement of bases
that constitute the genome (whole genetic content) of a
microorganism.
• Mapping means knowing the order of arrangement of genes in
the genome of microorganism under study.
• Functional analysis is the method of knowing the functions of the
Identified genes and their determinants (environment, genetic and
epigenetic) .
Genomics: A Universal Language
Not Phenotype, But Excellent for
Phenotype Prediction
Microbial Genomics: Why?
• For a better understanding of the biology, epidemiology, evolution
and interactions of microorganisms with the environment, animals
and humans.
• To understand the mechanism of emergence, re-emergence and
spread of pathogens of global health importance
• To infuse Information Technology into Life Science.
• To enhance the use of Computational Biology & Bioinformatics to
understand microbial life: physiology, pathogenesis, ecology,
adaptation, evolution etc better
• To drive One Health.
• To drive the development of new diagnostics.
• To improve taxonomy of microorganisms.
……
Virology
Medical Microbiology
Environmental
Microbiology
Mycology
Parasitology
Areas of Microbial Genomics.
C
O
M
P
A
R
A
T
I
V
E
G
E
N
O
M
I
C
s
FUNCTIONAL GENOMICS
Branches of Genomics.
Components of Bioinformatics.
Bioinformatics: A key player in Pathogen genomics
Bioinformatics and Application areas for Pathogen Genomics.
Databases for Pathogen Genomics: Repositories of
Computation Tools & Metadata
The Basis of Genome Evolution.
Microbial Genomics: Why?
.
• To comprehend the global problem of antibiotic resistance
• To improve surveillance, early detection of infectious
disease outbreaks, outbreak investigation and other
outbreak ending responses.
• To enable the development new treatment interventions
• To accelerate drug discovery……
• To drive new idea, workflow and data integration in the
conduct of Surveillance and Epidemiological studies
Genomics Goals.
STOP
Genomics at a glance.
The
Big Data
Output
Outcome
Surveillance
• Systematic way of monitoring pathogens for properties
associated with health risks or diseases.
– Carriage/Presence (Human, Animal, Environmental)
– Emergence
– Transmission
– Evolution
– Pathogenesis
– Drug Resistance
– Phage gene acquisition
– Horizontal Gene Transfer
– Tracking epidemics
– etc
• To be able to provide actionable public health actions
(E.g. infection control measures; drug discovery &
development, drug trial, vaccine development, vaccine
trial, Epidemiology, Mass Drug Administration, Targeted
Vaccination, Mass Vaccination Campaign etc)
Current Direction of Routine Surveillance.
Microbial Genomics for Surveillance
• Knowing the genomes of pathogens of interest
– Genome Project
• Sequencing, gene prediction, gene content &
organization.
• Gene SNP identification & Phylogeny Construction for
strains (locally, temporally & geographically/spartially)
• Metagenomics (No culture!!)
• Knowing the databases/Workflow./Data Analysis Plan
– Genome Applications
• Epidemiology
• Functional Genomics
• Comparative Genomics
• Structural Genomics
• Diagnostics
• Drug prediction, design and development
• Vaccine discovery & development
Know the database
Know the database
Know the database
Know the database
Growth of Neisseria meningitidis Genome Library in
England & Wales (2010 -2015)
Growth of Genomics & Functional Genomics
Quality Checkpoints from Sample Prep through
Sequencing to Bioinformatics
Velvet: A read assembly tool
Mauve for contigs ordering and multiple genome comparison
Artemis and ACT : for genome viewing and mapping to
reference genomes.
BRIG (BLAST Ring Image Generator) for multiple genome comparison
NCBI Platform for submission of
pathogen genome sequences:
environmental, food/animal,
humans (One Health)
Data Analysis Plan: An Essential component of Pathogen Genomics
Antibiotics: the mainstay of Prevention, Treatment &
Cure in Medicine
Antibiotic use by countries.
Antibiotic Resistance Timeline.
BRICS
MINT
Global trade and travels are drivers of superbug
transmission across the globe.
Four Key strategies of reducing the burden
of Antibiotic Resistance.
Anti-TB Drugs Development Pipeline
Nigerian Situation regarding
Genomics
• Preparatory Phase
– Laboratory strengthening for
• Surveillance
• Pathogen detection
• Resistance gene detection (e.g ESBL genes)
– Collaboration
• Research institute vs University
• North-south
• Multidisciplinary (One Health Approach)
– Build Bioinformatics Capacity
• Algorithms + Databases (Learning to use and building)
– Develop a robust Surveillance System
– Publish in peer reviewed journals
– Grant writing capacity
Conclusion
• Pathogens Genomics offers of new way of getting actionable
public health information from pathogens beyond the reach of
culture and identification, other phenotypic tests and few gene
based molecular typing methods.
• The currency of genomics are the reads derived from whole
genome sequencing and assembled for genome annotation and
functional genomics
• Genomics is now the best tool for pathogen surveillance and
Outbreak response.
• The level of research in microbial genomics in Nigeria is at the
preparatory phase
• Way forward include STEM education integration into Biology
education, laboratory strengthening and human capacity
building for grantmanship, high level scientific publication,
surveillance, rapid outbreak detection and effective outbreak
response, drug discovery and vaccine discovery,
• THANK YOU ALL!!

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Microbial Genomics and Surveillance: An Overview Snapshot for a Layman’s Understanding

  • 1. Microbial Genomics and Surveillance: An Overview Snapshot for a Layman’s Understanding Dr. Iwalokun, BA Molecular Biology & Biotechnology Dept NIMR, Lagos
  • 2. Presentation Overview • Microbial Genomics: – Definition , Necessity and Goals • Surveillance – Definition, Essence and for what? • Microbial Genomics and Surveillance – Dynamics, Pattern of Interactions and drug resistance Perspectives • Nigerian Situation, Regarding Genomics • & Way Forward • Conclusion • Acknowledgment
  • 3. Microbial Genomics: Definitions • Microbial Genomics can be defined as a component of Microbial Genetics, which deals with: – Sequencing – Mapping & – Functional analysis Of genes and their genetic variants in the genomes of microorganisms. • Sequencing entails knowing the order of arrangement of bases that constitute the genome (whole genetic content) of a microorganism. • Mapping means knowing the order of arrangement of genes in the genome of microorganism under study. • Functional analysis is the method of knowing the functions of the Identified genes and their determinants (environment, genetic and epigenetic) .
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  • 5. Genomics: A Universal Language Not Phenotype, But Excellent for Phenotype Prediction
  • 6. Microbial Genomics: Why? • For a better understanding of the biology, epidemiology, evolution and interactions of microorganisms with the environment, animals and humans. • To understand the mechanism of emergence, re-emergence and spread of pathogens of global health importance • To infuse Information Technology into Life Science. • To enhance the use of Computational Biology & Bioinformatics to understand microbial life: physiology, pathogenesis, ecology, adaptation, evolution etc better • To drive One Health. • To drive the development of new diagnostics. • To improve taxonomy of microorganisms. ……
  • 9. Components of Bioinformatics. Bioinformatics: A key player in Pathogen genomics
  • 10. Bioinformatics and Application areas for Pathogen Genomics.
  • 11. Databases for Pathogen Genomics: Repositories of Computation Tools & Metadata
  • 12. The Basis of Genome Evolution.
  • 13. Microbial Genomics: Why? . • To comprehend the global problem of antibiotic resistance • To improve surveillance, early detection of infectious disease outbreaks, outbreak investigation and other outbreak ending responses. • To enable the development new treatment interventions • To accelerate drug discovery…… • To drive new idea, workflow and data integration in the conduct of Surveillance and Epidemiological studies
  • 15. STOP
  • 16. Genomics at a glance. The Big Data Output Outcome
  • 17. Surveillance • Systematic way of monitoring pathogens for properties associated with health risks or diseases. – Carriage/Presence (Human, Animal, Environmental) – Emergence – Transmission – Evolution – Pathogenesis – Drug Resistance – Phage gene acquisition – Horizontal Gene Transfer – Tracking epidemics – etc • To be able to provide actionable public health actions (E.g. infection control measures; drug discovery & development, drug trial, vaccine development, vaccine trial, Epidemiology, Mass Drug Administration, Targeted Vaccination, Mass Vaccination Campaign etc)
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  • 19. Current Direction of Routine Surveillance.
  • 20. Microbial Genomics for Surveillance • Knowing the genomes of pathogens of interest – Genome Project • Sequencing, gene prediction, gene content & organization. • Gene SNP identification & Phylogeny Construction for strains (locally, temporally & geographically/spartially) • Metagenomics (No culture!!) • Knowing the databases/Workflow./Data Analysis Plan – Genome Applications • Epidemiology • Functional Genomics • Comparative Genomics • Structural Genomics • Diagnostics • Drug prediction, design and development • Vaccine discovery & development
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  • 29. Growth of Neisseria meningitidis Genome Library in England & Wales (2010 -2015)
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  • 31. Growth of Genomics & Functional Genomics
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  • 43. Quality Checkpoints from Sample Prep through Sequencing to Bioinformatics
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  • 48. Velvet: A read assembly tool
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  • 51. Mauve for contigs ordering and multiple genome comparison
  • 52. Artemis and ACT : for genome viewing and mapping to reference genomes.
  • 53. BRIG (BLAST Ring Image Generator) for multiple genome comparison
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  • 55. NCBI Platform for submission of pathogen genome sequences: environmental, food/animal, humans (One Health)
  • 56. Data Analysis Plan: An Essential component of Pathogen Genomics
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  • 61. Antibiotics: the mainstay of Prevention, Treatment & Cure in Medicine
  • 62. Antibiotic use by countries.
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  • 90. Global trade and travels are drivers of superbug transmission across the globe.
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  • 93. Four Key strategies of reducing the burden of Antibiotic Resistance.
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  • 99. Nigerian Situation regarding Genomics • Preparatory Phase – Laboratory strengthening for • Surveillance • Pathogen detection • Resistance gene detection (e.g ESBL genes) – Collaboration • Research institute vs University • North-south • Multidisciplinary (One Health Approach) – Build Bioinformatics Capacity • Algorithms + Databases (Learning to use and building) – Develop a robust Surveillance System – Publish in peer reviewed journals – Grant writing capacity
  • 100. Conclusion • Pathogens Genomics offers of new way of getting actionable public health information from pathogens beyond the reach of culture and identification, other phenotypic tests and few gene based molecular typing methods. • The currency of genomics are the reads derived from whole genome sequencing and assembled for genome annotation and functional genomics • Genomics is now the best tool for pathogen surveillance and Outbreak response. • The level of research in microbial genomics in Nigeria is at the preparatory phase • Way forward include STEM education integration into Biology education, laboratory strengthening and human capacity building for grantmanship, high level scientific publication, surveillance, rapid outbreak detection and effective outbreak response, drug discovery and vaccine discovery,
  • 101. • THANK YOU ALL!!