Person

Bode Adebowale Olukolu

Assistant Professor | Entomology and Plant Pathology

Specialization: Genetics/Genomics of Plant & Plant-Pathogen Interactions

Overview

I obtained a BS degree in botany at Obafemi Awolowo University, a MS degree in genetics at University of Ibadan, and a PhD in genetics at Clemson University. Following postdoctoral positions at Clemson University and NC State University, and an appointment as a Research Assistant Professor, I joined the Department of Entomology and Plant Pathology at the University of Tennessee, Knoxville.

By integrating quantitative genetics and the more recent genomic technologies, my goal is to understand the genetic and molecular mechanisms underlying important agronomic traits, particularly complex diseases in plants. My research interest focuses on understanding how multi-way plant-pathogen-microbe interactions modulate plant diseases and defense response pathways. To achieve this at the systems level, I am developing new methods and bioinformatic tools to aid integration of multi-omic datasets.

Research Focus

My research centers on plat-pathogen-microbe interactions in agriculture. Specifically, I’m exploring Fusarium rot, identifying biocontrol agents, and examining how host-associated metagenome on agronomic traits.

Teaching Focus

At the core of my teaching philosophy is an enthusiasm to not only perpetuate knowledge and inspire eagerness for learning but to also teach independent critical listening and thinking. I hope to nurture an atmosphere of ownership and involvement.

Research Questions
  • How does the host-associated metagenome modulate pathogenesis, plant defense response and immunity?
  • Can host-associated metagenomes within the context of the holobiont improve statistical power for GWAS/QTL analysis and genomic prediction?
  • Can selection during breeding, identify individuals to efficiently recruit beneficial microbes (from environment and probiotics) in an environmental-independent manner?
  • What are the major factors driving rapid crop adaptation?
Courses
Below are courses taught during the current or past three academic years. Consult Timetable for the most current listing of courses and instructor(s).
EPP 633 - Statistical Genetics and Genomics
3 credit hour(s)

Statistical concepts for analysis of genetic and genomics data using classical and state-of-the-art analytical methods. Basic UNIX scripting and R programming, as well as fundamental genetic and -omics principles will be taught. Class activities will include a combination of lectures, review of literature, and hands-on experience with real data sets. The goal is to understand basic analytical concepts to equip students for independent learning.

Contact Hour Distribution: 3 hours lecture. Registration Restriction: Minimal student level – graduate.

EPP 634 - Statistical Genetics and Genomics Laboratory
1 credit hour(s)

Experiential learning of Basic UNIX scripting and R programming and analysis of real data sets to equip students for independent learning. Laboratory topics include data wrangling and visualization, Quality filtering NGS data, haplotype-based variant calling/filtering, metagenomic profiling, genetic linkage map construction, QTL analysis, genome-wide association analysis (GWAS), genomic prediction, and meta-analysis (phenotypic, genomic, and metagenomic data).

Picture of Bode Adebowale Olukolu
352 Plant Biotechnology Building
2505 E J Chapman Drive
Knoxville, TN 37996-4500
Education and Training
  • Doctorate, Genetics, Clemson University, 2010
Lab Members

Bode Adebowale Olukolu

Assistant Professor | Entomology and Plant Pathology
Picture of Bode Adebowale Olukolu image
352 Plant Biotechnology Building
2505 E J Chapman Drive
Knoxville, TN 37996-4500
Education and Training
  • Doctorate, Genetics, Clemson University, 2010
Overview

I obtained a BS degree in botany at Obafemi Awolowo University, a MS degree in genetics at University of Ibadan, and a PhD in genetics at Clemson University. Following postdoctoral positions at Clemson University and NC State University, and an appointment as a Research Assistant Professor, I joined the Department of Entomology and Plant Pathology at the University of Tennessee, Knoxville.

By integrating quantitative genetics and the more recent genomic technologies, my goal is to understand the genetic and molecular mechanisms underlying important agronomic traits, particularly complex diseases in plants. My research interest focuses on understanding how multi-way plant-pathogen-microbe interactions modulate plant diseases and defense response pathways. To achieve this at the systems level, I am developing new methods and bioinformatic tools to aid integration of multi-omic datasets.

Research Focus

My research centers on plat-pathogen-microbe interactions in agriculture. Specifically, I’m exploring Fusarium rot, identifying biocontrol agents, and examining how host-associated metagenome on agronomic traits.

Teaching Focus

At the core of my teaching philosophy is an enthusiasm to not only perpetuate knowledge and inspire eagerness for learning but to also teach independent critical listening and thinking. I hope to nurture an atmosphere of ownership and involvement.

Research Questions
  • How does the host-associated metagenome modulate pathogenesis, plant defense response and immunity?
  • Can host-associated metagenomes within the context of the holobiont improve statistical power for GWAS/QTL analysis and genomic prediction?
  • Can selection during breeding, identify individuals to efficiently recruit beneficial microbes (from environment and probiotics) in an environmental-independent manner?
  • What are the major factors driving rapid crop adaptation?
Courses
Below are courses taught during the current or past three academic years. Consult Timetable for the most current listing of courses and instructor(s).
EPP 633 - Statistical Genetics and Genomics
3 credit hour(s)

Statistical concepts for analysis of genetic and genomics data using classical and state-of-the-art analytical methods. Basic UNIX scripting and R programming, as well as fundamental genetic and -omics principles will be taught. Class activities will include a combination of lectures, review of literature, and hands-on experience with real data sets. The goal is to understand basic analytical concepts to equip students for independent learning.

Contact Hour Distribution: 3 hours lecture. Registration Restriction: Minimal student level – graduate.

EPP 634 - Statistical Genetics and Genomics Laboratory
1 credit hour(s)

Experiential learning of Basic UNIX scripting and R programming and analysis of real data sets to equip students for independent learning. Laboratory topics include data wrangling and visualization, Quality filtering NGS data, haplotype-based variant calling/filtering, metagenomic profiling, genetic linkage map construction, QTL analysis, genome-wide association analysis (GWAS), genomic prediction, and meta-analysis (phenotypic, genomic, and metagenomic data).

Lab Members