Bacterial-fungal interactions play a fundamental role in many processes including crop biofuel development and biosystem design. In this work, we focus on the interactions between the fungi Laccaria bicolor and the bacterium Psuedomonas fluorescens and their integral role in the fitness of the roots of the Populus tree. L. bicolor synthesizes trehalose which stimulates growth and chemotaxis of P. flourescens. Furthermore, P. flourescens provides L. bicolor with thiamine thereby increasing fungal mass. We developed a multiscale computational model to investigate these interdependent interactions. The growth and branching of the fungal mycelia are modeled using an off-lattice spatial discrete submodel which is dependent on both diffusive and active translocation of internal nutrients and uptake of external nutrients. The fungal growth model is coupled with a thermodynamic-kinetic maximum entropy ODE model for metabolism, containing over 200 reactions including protein and nucleic acid synthesis, from which the costs of growth and maintenance can be calculated. Trehalose secretion, especially at the tips of the hyphae, acts as a source of diffusive chemoattractant for P. fluorescens colony. Numerical simulations of these coupled models under various conditions aid in characterizing the energetic costs of growth and maintenance of L. bicolor in the presence of P. fluorescens.

# Contributed Talk Session - CT01

#### Monday, June 14 at 03:15pm (PDT)

Monday, June 14 at 11:15pm (BST)

Tuesday, June 15 07:15am (KST)

# Contributed Talk Session - CT01

##### CT01-CBBS:

CBBS Subgroup Contributed Talks

**Jolene Britton***University of California, Riverside*

"A Metabolism-Based Multiscale Model of Fungal Development and Growth"**Brenda Lyn A. Gavina***University of the Philippines*

"Optimization of dosing strategy for anovulation"**Daniel Plaugher***University of Kentucky*

"Modeling the Pancreatic Cancer Microenvironment in Search of Control Targets"**Furkan Kurtoglu***Indiana University*

"Integration of Intracellular Kinetic Models to Multiscale Agent-Based Models"

##### CT01-CDEV:

CDEV Subgroup Contributed Talks

**Denis Patterson***Princeton University*

"A Mathematical Model of Neuronal Identity with Ectopic Domains"**Yoshito Hirata***University of Tsukuba*

"Reconstructing 3D chromosome structures from single diploid cell Hi-C data via recurrence plots"**Dan Tudor***University of Edinburgh*

"Inferring chemoattractant properties from cell tracking data using mathematical modelling and Bayesian inference"**Philipp Thomas***Imperial College London*

"Exact solutions for stochastic gene expression in growing cell populations"

##### CT01-ECOP:

ECOP Subgroup Contributed Talks

**Abdennasser Chekroun***University of Tlemcen*

"Traveling waves of a differential-difference diffusive Kermack-McKendrick epidemic model with age-structured protection phase"**Laura Wadkin***Newcastle University*

"Mathematical modelling of the spread of tree disease through forests"**Laura Jimenez***University of Hawaii*

"Statistical models to estimate the fundamental niche of a species using occurrence data"**Lee Altenberg***University of Hawai`i at Mānoa*

"Going Against the Flow: Selection for Counter-Current Dispersal in Gyres"

##### CT01-EVOP:

EVOP Subgroup Contributed Talks

**Hannah Götsch***Faculty of Mathematics - University of Vienna, Vienna Graduate School of Population Genetics*

"A mathematical model for the adaptation of a quantitative trait in a panmictic population"**Alexander B. Brummer***Department of Computational and Quantitative Medicine, Division of Mathematical Oncology, Beckman Research Institute, City of Hope National Medical Center*

"Cancer as a model system for testing metabolic scaling theory"**Bo Zhang***Oklahoma State University*

"How to integrate mechanical treatment and biological control to improve field treatment efficiency on invasions"

##### CT01-IMMU:

IMMU Subgroup Contributed Talks

**Aaron Meyer***University of California, Los Angeles*

"Developing a mechanistic view of mixed IgG antibody immune effector responses"**Yafei Wang***Indiana University Bloomington*

"Multiscale modeling of SARS-CoV-2 infectious dynamics and antiviral drugs intervention"**Wenjing Zhang***Texas Tech University*

"Deterministic and Stochastic in-host Tuberculosis Models for Bacterium-directed and Host-directed Therapy Combination"**Aniruddha Deka***Pennsylvania State University*

"Pathogen competition and mutant invasion in face of human choice in vaccination:"

##### CT01-MEPI:

MEPI Subgroup Contributed Talks

**Michael Irvine***Simon Fraser University*

"Quantifying transmissibility of COVID-19 and the impact of intervention in long-term care facilities"**Carlo Davila-Payan***Centers for Disease Control and Prevention*

"Analysis of the yearly transition function in measles disease modeling"**Luis Manuel Munoz-Nava***Center for Research and Advanced Studies*

"‘Learning Bubbles’ are an effective and safe alternative to schools reopening during the COVID-19 pandemic"**Glenn Ledder***University of Nebraska-Lincoln*

"A Model for COVID-19 with Limited Vaccination"

##### CT01-MFBM:

MFBM Subgroup Contributed Talks

**Wayne Hayes***UC Irvine*

"The One True Way to use GO terms to evaluate Network Alignments"**Giulia Palermo***UCR*

"Harnessing graph theory to decrypt the allosteric mecahnism in CRISPR-Cas9"**Dennis Manjaly Joshy***UC Santa Barbara*

"A Koopman Operator Approach for Genetic Circuit Design"**Ying Zhang***Brandeis University*

"Immersed Boundary Simulations of Red Blood Cells Near Vessel Walls"

##### CT01-MMPB:

MMPB Subgroup Contributed Talks

**Brendan Fry***Metropolitan State University of Denver*

"A hybrid model for metabolic signaling in the human retinal microcirculation"**Thomas Bury***McGill University*

"Long ECGs reveal rich and robust dynamical regimes in patients with frequent premature ventricular complexes."**Jeungeun Park***University of Cincinnati*

"A swimming strategy of polarly-flagellated bacteria"**Dongheon Lee***Department of Biomedical Engineering, Duke University*

"Hybrid Data-driven Mechanistic Modeling Approach to Describe Uncertain Intracellular Signaling Pathways"

##### CT01-ONCO:

ONCO Subgroup Contributed Talks

**Andrei S Rodin***City of Hope*

"Dissecting Response to Cancer Immunotherapy by Applying Bayesian Network Analysis to Flow Cytometry Data"**Tatiana Miti***Moffitt Cancer Center & Research Institute*

"Integrating Spatial Point Pattern Analysis and Agent Based Modeling for Studies of Stroma Sheltering Effects on Tumor"**Robert Noble***City, University of London*

"Explaining modes of tumour evolution"**Erdi Kara***Texas Tech University Mathematics and Statistics*

"Diffusion Tensor Imaging (DTI) Based Drug Diffusion - Population Model for Solid Tumors"