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Scaling laws predict global microbial diversity.

Kenneth J Locey1, Jay T Lennon1

  • 1Department of Biology, Indiana University, Bloomington, IN 47405 ken@weecology.org lennonj@indiana.edu.

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|May 4, 2016
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Summary
This summary is machine-generated.

Biodiversity scaling laws apply to microbes, plants, and animals, revealing universal patterns in species abundance. This research predicts over a trillion microbial species on Earth, demonstrating predictable microbial biodiversity across all scales.

Keywords:
biodiversitymacroecologymicrobiologymicrobiomerare biosphere

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Area of Science:

  • Ecology
  • Microbiology
  • Biodiversity Science

Background:

  • Scaling laws are fundamental to biodiversity theory but are often untested for microorganisms.
  • Existing scaling laws for plants and animals may not apply to evolutionarily distant microbial life.
  • Understanding microbial biodiversity is crucial due to their diverse metabolisms and abundance scales.

Purpose of the Study:

  • To test the universality of biodiversity scaling laws across microorganisms, plants, and animals.
  • To investigate if scaling laws hold for all domains of life, encompassing diverse metabolisms and abundances.
  • To predict the total number of microbial species on Earth.

Main Methods:

  • Utilized a global dataset of approximately 35,000 sites and 5.6 million species.
  • Incorporated extensive high-throughput molecular data for microorganisms and community data for plants and animals.
  • Applied statistical analysis to identify and validate universal dominance scaling laws.

Main Results:

  • Demonstrated similar scaling rates for common and rare species across microorganisms, plants, and animals.
  • Documented a universal dominance scaling law effective across 30 orders of magnitude.
  • This law accurately predicts the abundance of dominant marine bacteria.

Conclusions:

  • Biodiversity scaling laws are universal, applying consistently from microbes to macroscopic organisms.
  • The identified scaling law, combined with the lognormal biodiversity model, predicts approximately 1 trillion microbial species.
  • Microbial biodiversity is vast yet predictable across all scales, from the smallest to the largest microbiomes.