Macromolecular networks and intelligence in microorganisms

Hans V. Westerhoff, Aaron N. Brooks, Evangelos Simeonidis, Rodolfo García-Contreras, Fei He, Fred C. Boogerd, Victoria J. Jackson, Valeri Goncharuk, Alexey Kolodkin

Research output: Contribution to journalArticle

18 Citations (Scopus)
1 Downloads (Pure)

Abstract

Living organisms persist by virtue of complex interactions among many components organized into dynamic, environment-responsive networks that span multiple scales and dimensions. Biological networks constitute a type of information and communication technology (ICT): they receive information from the outside and inside of cells, integrate and interpret this information, and then activate a response. Biological networks enable molecules within cells, and even cells themselves, to communicate with each other and their environment. We have become accustomed to associating brain activity - particularly activity of the human brain - with a phenomenon we call "intelligence." Yet, four billion years of evolution could have selected networks with topologies and dynamics that confer traits analogous to this intelligence, even though they were outside the intercellular networks of the brain. Here, we explore how macromolecular networks in microbes confer intelligent characteristics, such as memory, anticipation, adaptation and reflection and we review current understanding of how network organization reflects the type of intelligence required for the environments in which they were selected. We propose that, if we were to leave terms such as "human" and "brain" out of the defining features of "intelligence," all forms of life - from microbes to humans - exhibit some or all characteristics consistent with "intelligence." We then review advances in genome-wide data production and analysis, especially in microbes, that provide a lens into microbial intelligence and propose how the insights derived from quantitatively characterizing biomolecular networks may enable synthetic biologists to create intelligent molecular networks for biotechnology, possibly generating new forms of intelligence, first in silico and then in vivo.

Original languageEnglish
Article number379
JournalFrontiers in Microbiology
Volume5
Issue numberJULY
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

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Intelligence
Brain
Biotechnology
Human Activities
Computer Simulation
Lenses
Communication
Genome
Technology

Keywords

  • Anticipation
  • Association
  • Decision-making
  • Emergence
  • Microbial intelligence
  • Problem solving
  • Robust adaptation
  • Self-awareness

ASJC Scopus subject areas

  • Microbiology
  • Microbiology (medical)

Cite this

Westerhoff, H. V., Brooks, A. N., Simeonidis, E., García-Contreras, R., He, F., Boogerd, F. C., ... Kolodkin, A. (2014). Macromolecular networks and intelligence in microorganisms. Frontiers in Microbiology, 5(JULY), [379]. https://doi.org/10.3389/fmicb.2014.00379

Macromolecular networks and intelligence in microorganisms. / Westerhoff, Hans V.; Brooks, Aaron N.; Simeonidis, Evangelos; García-Contreras, Rodolfo; He, Fei; Boogerd, Fred C.; Jackson, Victoria J.; Goncharuk, Valeri; Kolodkin, Alexey.

In: Frontiers in Microbiology, Vol. 5, No. JULY, 379, 01.01.2014.

Research output: Contribution to journalArticle

Westerhoff, HV, Brooks, AN, Simeonidis, E, García-Contreras, R, He, F, Boogerd, FC, Jackson, VJ, Goncharuk, V & Kolodkin, A 2014, 'Macromolecular networks and intelligence in microorganisms' Frontiers in Microbiology, vol. 5, no. JULY, 379. https://doi.org/10.3389/fmicb.2014.00379
Westerhoff HV, Brooks AN, Simeonidis E, García-Contreras R, He F, Boogerd FC et al. Macromolecular networks and intelligence in microorganisms. Frontiers in Microbiology. 2014 Jan 1;5(JULY). 379. https://doi.org/10.3389/fmicb.2014.00379
Westerhoff, Hans V. ; Brooks, Aaron N. ; Simeonidis, Evangelos ; García-Contreras, Rodolfo ; He, Fei ; Boogerd, Fred C. ; Jackson, Victoria J. ; Goncharuk, Valeri ; Kolodkin, Alexey. / Macromolecular networks and intelligence in microorganisms. In: Frontiers in Microbiology. 2014 ; Vol. 5, No. JULY.
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