A Materials Genome Approach to Understanding Biofilm Mechanics

Abstract

A Materials Genome Approach to Understanding Biofilm Mechanics Biofilms are highly evolved, efficient bacterial colonies that exhibit outstanding adhesive strength once formed on surfaces. The tenacity of biofilms to bind indifferently to substrates is attributed to the extracellular matrix proteins called functional amyloids, most notably, the curli nanofibers found in E. coli biofilms. Curli nanofibers regulate matrix elasticity, intercellular cohesion within the biofilm, and most remarkably, nonspecific adhesion to surfaces. With recent breakthroughs in genetic engineering of E. coli, it is possible to synthesize biofilms with diverse functions that are attained by conjugating small peptides onto curli nanofibers. Both natural and genetically modified curli nanofibers achieve outstanding adhesive and cohesive strength, but the fundamental mechanism governing this phenomenon is still unknown. Biofilms are an exciting new frontier in synthetic biology because control of the curli nanofiber features through genetic engineering serves as an enabling tool to synthesize a new class of self-assembling protein materials. The bacterial genome is well-characterized and can now be manipulated to achieve unprecedented adhesive and cohesive properties through rational design of the extracellular protein networks. However, a number of obstacles exist that hinder our capability to predict biofilm mechanics in relation to their genetics. First, the molecular mechanisms through which curli nanofibers achieve outstanding intercellular and interfacial adhesion are still not well understood. Second, the role of different constituents on the structural and mechanical properties of biofilms has yet to be determined through a holistic multi-scale viewpoint. Third, a predictive modeling approach to linking the cellular genome (genetic makeup), mechanome (mechanics of curli nanofibers) and biofilm materiome (material performance) remains elusive. A closed loop linking the bacterial genome to the mechanome of the cells, and ultimately the materiome of biofilms will allow us to understand and improve upon biological design principles. To address this issue, the objective of the proposed research is to establish a materials genome approach to understanding the mechanics of biofilms. The two aims that will be pursued in light of this overarching objective are: • Aim 1 - Elucidate the adhesive and cohesive properties of curli nanofibers • Aim 2 - Establish a mesoscopic model for biofilm adhesion and detachment Through computational approaches validated by experimental characterizations, we will be able to predict biofilm adhesion and cohesion characteristics from the shape, size, architecture and surface chemistry of curli nanofibers. In the spirit of a materials genome approach, a database for adhesive functional amyloids will be built to tailor biofilm performance through theory-driven approaches.This is a first effort at building a materials genome capability for natural and engineered biofilms, and the niche expertise of the PI addresses the critical need to understand nano and meso-scale mechanisms in these biosystems. The proposed research will reveal new strategies for making — and also eradicating — biofilms by deciphering the inner working mechanisms of curli nanofibers. On one hand, our research will identify strategies to alleviate biofilm-associated issues related to the tribology of vessels, pipelines, medical devices and other engineered interfaces. On the other hand, the materials genome viewpoint will accelerate efforts towards making biofilms with unparalleled capabilities such as underwater adhesion, molecular recognition, and multifunctional biomaterials synthesis.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512701

Entities

People

  • Sinan Keten

Organizations

  • Northwestern University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Microbial Pathology
  • Nanocomposite Materials Science
  • Systems Analysis and Design

Technology Areas

  • Biotechnology