David B. Dusenbery

David B. Dusenbery is a biophysicist with a central interest in how information influences the behavior of organisms. In later years, he also considered the physical constraints hydrodynamics imposes on microorganisms and gametes.

Academic positions

He received his Bachelor of Arts in Physics from Reed College in 1964 and his PhD in Biophysics from the University of Chicago in 1970. Dusenbery was a postdoc at the California Institute of Technology 1970-1973. He was on the faculty of the Georgia Institute of Technology from 1973 to 2002 in Biology, with a joint appointment in Physics to 1978.

Research

Most of Dusenbery’s research deals with how information controls behavior. At Caltech and the early years at Georgia Tech, Dusenbery focused on experimental studies of the nematode Caenorhabditis elegans because of its small nervous system and favorable genetics.

These experimental studies inspired the development of several innovative techniques:

  • Countercurrent separation for isolating mutant individuals altered in their tendency to swim toward a chemical.[1]
  • A method for applying controlled stimulation to an individual nematode and recording its responses.[2]
  • A method using computer analysis of live video to simultaneously track many individuals and record changes in their locomotion.[3][4]
  • The video tracking method was even used as a detector of sensory stimuli emanating from a gas chromatograph.[5]
  • Dusenbery had several students who developed a variety of techniques employing nematodes for inexpensive testing of samples (industrial or environmental) for several kinds of toxicity.[6][7][8]

Initially, Dusenbery was attempting to understand the flow of information in the nervous system of this simple animal. Later, he turned to the flow of information outside the organism, and how physics constrains how organisms behave.[9] More recently, he has also considered hydrodynamic constraints on small organisms, which can only swim at low speeds, where viscosity is far more important than inertia (low Reynolds numbers).[10]

From physical analysis, Dusenbery predicted[11] that the long-held belief that bacteria were too small to employ spatial sensing mechanisms to follow chemical gradients [12][13][14][15][16][17][18][19] was erroneous and predicted that bacteria following steep gradients of chemicals at high concentrations would benefit from using a spatial mechanism. In 2003, a new bacterial species was discovered that swim sideways and respond to differences in oxygen concentration at the two ends of the cell, allowing them to follow steep gradients of oxygen.[20]

Similar considerations have also been applied to the behaviors of gametes, leading to an explanation of why the sperm/egg (ovum) and thus the male/female distinctions exist.[21][22][23]

gollark: ```nonlocality=# EXPLAIN ANALYZE SELECT url, ts_rank(fts, query), ts_headline(fts::text, query, 'MaxWords=60') AS rank FROM pages, websearch_to_tsquery('bee') query WHERE fts @@ query ORDER BY rank LIMIT 1; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=860.92..860.92 rows=1 width=96) (actual time=8506.425..8506.427 rows=1 loops=1) -> Sort (cost=860.92..861.05 rows=52 width=96) (actual time=8506.423..8506.425 rows=1 loops=1) Sort Key: (ts_headline((pages.fts)::text, query.query, 'MaxWords=60'::text)) Sort Method: top-N heapsort Memory: 25kB -> Nested Loop (cost=688.65..860.66 rows=52 width=96) (actual time=1.362..8505.403 rows=348 loops=1) -> Function Scan on websearch_to_tsquery query (cost=0.25..0.26 rows=1 width=32) (actual time=0.023..0.025 rows=1 loops=1) -> Bitmap Heap Scan on pages (cost=688.40..846.49 rows=52 width=142) (actual time=0.353..1.502 rows=348 loops=1) Recheck Cond: (fts @@ query.query) Heap Blocks: exact=231 -> Bitmap Index Scan on page_search_index (cost=0.00..688.39 rows=52 width=0) (actual time=0.320..0.320 rows=387 loops=1) Index Cond: (fts @@ query.query) Planning Time: 0.190 ms Execution Time: 8506.463 ms(13 rows)```
gollark: It's not a condition, it's an extra row on the output, and I can see exactly what it does via `EXPLAIN ANALYZE`.
gollark: Maybe I need a better full text search backend?!
gollark: This is apioform.
gollark: So it works in about 30ms - perfectly okay - *without* the ts_headline, but takes about 30 seconds *with* it.

References
  1. Dusenbery, David B. (1973). Countercurrent separation: A new method for studying behavior of small aquatic organisms. Proceedings of the National Academy of Sciences USA, Vol. 70, pp. 1349-1352.
  2. Dusenbery, D.B. (1980). Responses of nematode C. elegans to controlled chemical stimulation. Journal of Comparative Physiology, Vol. 136, pp. 327-331.
  3. Dusenbery, D.B. (1985). Using a microcomputer and video camera to simultaneously track 25 animals. Computers in Biology & Medicine, Vol. 15, pp. 169-175.
  4. Dusenbery, D.B. (1985). Using a microcomputer and video camera to simultaneously track 25 animals. Journal of Chemical Ecology, Vol. 11, pp. 1239-1247.
  5. M.E. Mccallum and D.B. Dusenbery. (1992). Responses of nematode C. elegans to controlled chemical stimulation. Journal of Chemical Ecology, Vol. 18, pp. 585-592.
  6. P.L. Williams & D.B. Dusenbery (1988). Using the nematode C. elegans to predict mammalian acute lethality to metallic salts. Toxicology and Industrial Health, Vol. 4, pp. 469-478.
  7. S.G. Donkin & D.B. Dusenbery (1993).A soil toxicity test using the nematode Caenorhabditis elegans and an effective method of recovery. Archives of Environmental Contamination and Toxicology, Vol. 25, pp. 145-151.
  8. P.J. Middendorf & D.B. Dusenbery (1993). Fluoroacetic acid is a potent and specific inhibitor of reproduction in the nematode Caenorhabditis elegans. Journal of Nematology, Vol. 25, pp. 573-577.
  9. Dusenbery, David B. (1992). Sensory Ecology. W.H. Freeman., New York. ISBN 0-7167-2333-6.
  10. Dusenbery, David B. (2009). Living at Micro Scale. Harvard U. Press. ISBN 978-0-674-03116-6.
  11. David B. Dusenbery (1998). Spatial Sensing of Stimulus Gradients Can Be Superior to Temporal Sensing for Free-Swimming Bacteria. Biophysical Journal, Vol. pp. 2272–2277.
  12. Macnab, R. M., and D. E. Koshland, Jr. 1972. The gradient-sensing mechanism in bacterial chemotaxis. Proc. Natl. Acad. Sci. U.S.A. 69: 2509 –2512.
  13. Adler, J. 1975. Chemotaxis in bacteria. Annu. Rev. Biochem. 44:341–356.
  14. Macnab, R. M. 1978. Motility and chemotaxis. In Escherichia coli and Salmonella typhimurium: Cellular and Molecular Biology. F. C. Neid- hardt, editor. Am. Soc. Microbiol., Washington, D.C. 732–759.
  15. Carlile, M. J. 1980. Positioning mechanisms: the role of motility, taxis and tropism in the life of microorganisms. In Contemporary Microbial Ecol- ogy. D. C. Ellwood, M. J. Latham, J. N. Hedger, J. M. Lynch, and J. H. Slater, editors. Academic Press, London. 55–74.
  16. Jackson, G. A. 1987. Simulating chemosensory responses of marine mi- croorganism. Limnol. Oceanogr. 32:1253–1266.
  17. Jackson, G. A. 1989. Simulation of bacterial attraction and adhesion to falling particles in an aquatic environment. Limnol. Oceanogr. 34: 514–530.
  18. Ford, R. M. 1992. Mathematical modeling and quantitative characterization of bacterial motility and chemotaxis. In Modeling the Metabolic and Physiology Activities of Microorganisms. Wiley, New York. 177–215.
  19. Mitchell, J. G., L. Pearson, S. Dillon, and K. Kantalis. 1995. Natural assemblages of marine bacteria exhibiting high-speed motility and large accelerations. Appl. Environ. Microbiol. 61:4436–4440.
  20. Roland Thar and Michael Kühl (2003). Bacteria are not too small for spatial sensing of chemical gradients: An experimental evidence. Proc. Natl. Acad. Sci. USA, Vol. 100, pp. 5748–5753.
  21. Dusenbery, D.B. (2000). Selection for high gamete encounter rates explains the success of male and female mating types. J. Theoret. Biol. 202:1-10.
  22. Dusenbery, D.B. (2002). Ecological Models Explaining the Success of Distinctive Sperm and Eggs (Oogamy). J. Theoretical Biol. 219:1-7.
  23. Dusenbery, D.B. (2006). Selection for high gamete encounter rates explains the evolution of anisogamy using plausible assumptions about size relationships of swimming speed and duration. J. Theoretical Biol. 241:33-8.

Notable Publications

Books
  • Dusenbery, David B. (1992). Sensory Ecology: How Organisms Acquire and Respond to Information. W.H. Freeman, New York. ISBN 0-7167-2333-6.
  • Dusenbery, David B. (1996). “Life at Small Scale: The Behavior of Microbes”. Scientific American Library. ISBN 0-7167-5060-0.
  • Dusenbery, David B. (2009). “Living at Micro Scale: The Unexpected Physics of Being Small”. Harvard University Press. ISBN 978-0-674-03116-6.

Research Papers
  • Dusenbery, D.B. (1996). Information is where you find it. Biol. Bull. 191:124-128.
  • Dusenbery, D.B. (1997). Minimum size limit for useful locomotion by free-swimming microbes. Proc. Natl. Acad. Sci. USA 94:10949-10954.
  • Dusenbery, D.B. (1998). Fitness landscapes for effects of shape on chemotaxis and other behaviors of bacteria. J. Bacteriol. 180 (22):5978-5983.
  • Dusenbery, D.B. (2000). Selection for high gamete encounter rates explains the success of male and female mating types. J. Theoret. Biol. 202:1-10.
  • Dusenbery, D.B. (2002). Ecological Models Explaining the Success of Distinctive Sperm and Eggs (Oogamy). J. Theoretical Biol. 219:1-7.
  • Dusenbery, D.B. (2006). Selection for high gamete encounter rates explains the evolution of anisogamy using plausible assumptions about size relationships of swimming speed and duration. J. Theoretical Biol. 241:33-8.
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