Math and the Microbiome

Image
Image
Image of petri dishes
October 10 - October 12, 2018
8:00AM - 5:00PM
Location
MBI Auditorium, Jennings Hall 355

Date Range
Add to Calendar 2018-10-10 08:00:00 2018-10-12 17:00:00 Math and the Microbiome

Goals of this workshop include:

  1. Identify the questions, challenges, tools, and needs for microbiome studies at Ohio State University (OSU) and in the greater Columbus area.
  2. Stimulate interdisciplinary collaborations at OSU and in the greater Columbus area (e.g. Nationwide Children’s Hospital, Battelle).

The intended workshop participants are faculty / PIs who are laboratory scientists, mathematicians, statisticians, or metabolic modelers working on or interested in questions that involve the microbiome.

As such, preference will be given to OSU or local faculty applicants for this workshop.

MBI Auditorium, Jennings Hall 355 Mathematical Biosciences Institute mbi-webmaster@osu.edu America/New_York public
Description

Goals of this workshop include:

  1. Identify the questions, challenges, tools, and needs for microbiome studies at Ohio State University (OSU) and in the greater Columbus area.
  2. Stimulate interdisciplinary collaborations at OSU and in the greater Columbus area (e.g. Nationwide Children’s Hospital, Battelle).

The intended workshop participants are faculty / PIs who are laboratory scientists, mathematicians, statisticians, or metabolic modelers working on or interested in questions that involve the microbiome.

As such, preference will be given to OSU or local faculty applicants for this workshop.

Advanced
Text

From the bacteria in our guts, to microbes involved in biodegradation and crop growth, to viruses in the ocean, some of Earth’s tiniest organisms play some of the most important roles in global health, food production, and climate change. Advances in metagenomic sequencing technology including 16S, viromics, and mycobiomics - along with metabolomics, transcriptomics, and proteomics allow us to characterize these complex microbial communities and begin to understand their functions. This Big Data creates opportunities for data driven discovery and new data analytics, but Big Data also comes with challenges: Meaningful integration of multi-omic data has become increasingly critical to microbiome studies as recent work highlights the importance of community dynamics, interactions, and microbial ecology over the roles of individual microbes. For example, microbial metabolisms are now recognized to often be ‘distributed’ across consortia; viruses manipulate microbial metabolisms and population dynamics, and co-occurring fungi in most ecosystems are virtually unstudied but likely play key roles as well. Data integration techniques range from correlations to network analyses to genome-scale microbial community metabolic models that assess metabolite flux to ecosystem models that provide predictive power of which organisms drive key features of the system. Some of these techniques, like correlations, accommodate many types of –omic data but cannot account for the complex biology or ecology of a system. Other techniques, like metabolic modeling, better account for this complexity, but do not yet integrate phenotypic –omic data (i.e. metabolomics, proteomics) well. Each of these techniques has advantages and limitations and new computational tools for data integration and modeling have rapidly developed over the last 2 years. Besides data integration, Whether studying environmental, gut, or industrial microbes, the ability to accurately identify and predict the structure and function of microbial communities has far-reaching potential and paves the way for microbial engineering in bioremediation, probiotic development, and sustainable agriculture.

In this 3 day workshop, we will take a genome to phonome approach with broad perspectives provided by mathematicians, biologists, and statisticians. We will also develop interdisciplinary working subgroups to consider the questions, challenges, tools, and needs of data integration and modeling in microbiome studies. Each participant will present a short talk (5 minutes, 3 slides) highlighting his or her research, perspectives, and challenges. The goal is to help develop a broadly collaborative community of math-enabled microbiome scientists with common research goals.


This workshop is co-sponsored by the Mathematical Biosciences Institute, the National Institute of Statistical Sciences, and the Infectious Diseases Institute at Ohio State University.

Image
Logo for the National Institute of Statistical Sciences
Text

Organizers

Text

Adriana Dawes
Department of Mathematics / Department of Molecular Genetics
The Ohio State University
dawes.33@osu.edu

Text

Vanessa Hale
Department of Veterinary Preventive Medicine
The Ohio State University
hale.502@osu.edu

Text

Matthew Sullivan
Department of Microbiology
The Ohio State University
sullivan.948@osu.edu

Text

Talks and Participants

Text

Metabolic Mechanisms of Interaction in Microbial Communities
Jason Papin (Department of Biomedical Engineering, University of Virginia)
Video

Abstract not provided.


Math and the Virosphere: Needs and Opportunities
Matthew Sullivan (Department of Microbiology, The Ohio State University)
Video

Microbes are recently recognized as driving the energy and nutrient transformations that fuel Earth’s ecosystems in soils, oceans and humans. Where studied, viruses appear to modulate these microbial impacts in ways ranging from mortality and nutrient recycling to complete metabolic reprogramming during infection. As environmental virology strives to get a handle on the global virosphere (the diversity of viruses in nature) clear challenges are emerging where collaboration with mathematicians will be powerfully enabling. I will present a few ripe research avenues where we (environmental virologists) could use some help from mathematicians, statisticians, theorists and modelers to better understand the nanoscale (viruses) and microscale (microbes) entities that drive Earth’s ecosystems, and human health and disease.


Metabolites, Germs and People: Eavesdropping on Human-Associated Microbial Communities
Katrine Whiteson (Molecular Bio and Biochem, UC Irvine)
Video

Persistent and unique microbial communities impart the majority of genetic and metabolic diversity in humans, and their composition and activity are important indicators of health and disease. The Whiteson lab uses culture-independent metagenomics, metabolomics, and ecological statistics along with hypothesis driven, reductionist microbiology to answer questions about how bacteria and viruses affect human health. We and others find that the most important source of variance in both microbiome and metabolome data is the individual the sample was taken from, making longitudinal samples where a person’s own sample can act as the baseline an important approach. Several recent research projects using metabolomics and sequencing will be presented from healthy humans and Cystic Fibrosis patients, with the hope of brainstorming analytical approaches to relate longitudinal microbiome and metabolomics data.

Text
Name Email Affiliation
Besma Abbaoui abbaoui.1@osu.edu Food Science & Technology, The Ohio State University
Khaled Altabtbaei altabtbaei.1@osu.edu Biosciences, The Ohio State University
Baha Alzalg baha2math@gmail.com Mathematics, The University of Jordan
Matt Anderson anderson.3196@osu.edu Microbiology Admin, The Ohio State University
Mike Bailey michael.bailey2@nationwidechildrens.org Pediatrics, The Ohio State University
Rick Ballweg ballwera@mail.uc.edu Systems Biology and Physiology Graduate Program, University of Cincinnati
Clifford Beall beallc@ccri.net Center for Gene Therapy, The Ohio State University
Johannes Bjork bjork.johannes@gmail.com Department of Biological Sciences, University of Notre Dame
Ben Bolduc bolduc.10@osu.edu Microbiology, The Ohio State University
Angela Chukwu unnachuks2002@yahoo.co.uk Department of Statistics, University of Ibadan
Jing Cui Jing.Cui@agri.ohio.gov Animal Disease Diagnostic Laboratory, Ohio Department of Agriculture
Karen Dannemiller dannemiller.70@osu.edu Civil, Envir & Geod Eng, The Ohio State University
Jayajit Das jayajit.das@nationwidechildrens.org Battelle Ctr. for Mathematical Medicine/ Dept. of Pediatrics, The Ohio State University
Adriana Dawes dawes.33@osu.edu Department of Mathematics / Department of Molecular Genetics, The Ohio State University
Rebecca Garabed garabed.1@osu.edu Veterinary Preventive Medicine, The Ohio State University
Mostafa Ghanem ghanem.9@osu.edu Veterinary Preventive Medicine, The Ohio State University
Ming Gong gongm1@udayton.edu Electrical Engineering, University of Dayton
Vanessa Hale hale.502@osu.edu Department of Veterinary Preventive Medicine, The Ohio State University
Jia (John) Kang jia.kang@merck.com Biostatistics, Merck Research Laboratories
Kristina Kigerl kristina.kigerl@osumc.edu Neuroscience, The Ohio State University
Chris Lauber Christian.Lauber@nationwidechildrens.org Institute for Genomic Medicine, Nationwide Children's Hospital
Amy Mackos mackos.3@osu.edu College of Nursing, The Ohio State University
Katherine Mifflin katherine.mifflin@gmail.com Neuroscience, The Ohio State University
Chiranjit Mukherjee mukherjee.55@osu.edu Biomedical Sciences, The Ohio State University
Samuel Oyamakin fm_oyamakin@yahoo.com Statistics, Centre for Environment, Renewable Natural Resources Management, Research and Development, (CENRAD)
Jason Papin papin@virginia.edu Department of Biomedical Engineering, University of Virginia
Kimberly Roth roth@juniata.edu Mathematics, Juniata College
Denise Russi Rodrigues russirodrigues.1@osu.edu OARDC Animal Sciences, The Ohio State University
Zakee Sabree sabree.8@osu.edu EEOB, The Ohio State University
Sarah Short short.343@osu.edu Entomology, The Ohio State University
Jalal Khalid Siddiqui siddiqui.13@osu.edu SBS-Biomedical Informatics, The Ohio State University
Chi Song song.1188@osu.edu COPH-Division of Biostatistics, The Ohio State University
Ivan Sudakov isudakov1@udayton.edu Physics, University of Dayton
Matthew Sullivan sullivan.948@osu.edu Department of Microbiology, The Ohio State University
Christine Sun sun.2508@osu.edu Microbiology Admin, The Ohio State University
Vasily Tokarev tokarev@juniata.edu Biomedical Sciences, Juniata College
Katrine Whiteson katrine@uci.edu Molecular Bio and Biochem, UC Irvine
Jenessa Winston jeandrze@ncsu.edu PHP, North Carolina State University - College of Veterinary Medicine
Yan Zhang yan.zhang@agri.ohio.gov Animal Disease Diagnostic Laboratory, Ohio Department of Agriculture

Events Filters: