Knowing how chemotaxis works is fundamental to understanding
nutrient acquisition in bacteria. Our understanding of bacterial motility
mainly comes from research on Escherichia
coli, a gammaproteobacterium with multiple flagella. The majority of marine
bacteria have a single polar flagellum, and the typical ‘run and tumble’
motility that we usually assign to chemotactic movement is not applicable as a
result. The peritrichous arrangement of E.
coli’s flagella means that when rotated in one direction, the flagella
bundle together and propel the bacterium in a straight line. Rapid reversal of
the rotation causes the bundle to splay out which gives the ‘tumble’ and a
subsequent change in direction. Marine bacteria on the other hand, rarely
display the classic ‘tumble’ and instead alternate between forwards and
backwards runs, with 180o reversals or 90o flicks. The
flicks are caused by the deformation of the hook (a structure that connects the
flagellar filament to the rotating motor) and the likelihood of this
deformation is speed dependant. It is unknown how this speed dependant motility
affects chemotaxis, and therefore how efficiently marine bacteria can move
towards a nutrient.
Son et al investigated
how the dependence on speed effects chemotaxis, and how chemokinesis (the
ability to alter swimming speed in response to the concentration of a stimulus)
can enhance the movement towards a nutrient. The chemotaxis of over 50,000 Vibrio alginolyticus individuals was
quantified by tracking the movement of the cells along a gradient of the
amino-acid serine, via video microscopy. The swimming speeds of individual
cells was measured in order to quantify the natural variation in speed within
the population, and each cell was assigned to one of twelve ‘speed bins’. The
results very clearly demonstrate that faster cells had higher chemotactic precision
– i.e. they accumulated more tightly at the stimulus. This trend was also
backed up by the chemotactic migration coefficient (CMC) which measures
displacement of a populations centre of mass from a central point in the
gradient, where 0 is no chemotactic response, 1 is maximum attraction, and -1
is maximum repulsion. The CMC value increased from 0.44 to 1, from the slowest
speed bin to the fastest, which confirms the speed dependence of chemotaxis in
this species. The authors also conducted this experiment with E. coli (using a gradient of a-methylaspartate, and 5 speed bins due
to the smaller range of speed variation between cells) and found that chemotactic
precision was not speed dependant.
The authors used their data to create a marine bacteria chemotactic
model, which takes into account swimming speed, along with reorientation and
flick frequency. They show that at their normal swimming speeds, the motility
of V. alginolyticus is less random
than that of E. coli, and randomness
increases with speed (i.e flicks and reversals increase). This helps to explain
why chemotactic precision also increases with speed.
The speed with which a cell can move towards a nutrient has
obvious survival benefits, yet faster swimming is likely to be more energetically
costly. The huge difference in chemotactic motility and precision between V. alginolyticus and E. coli demonstrates the importance of studying more than one
species in order to understand how microbes acquire nutrients. I think this
paper is really interesting and builds upon our current understanding of marine
bacterial motility, as well as linking nicely with one of the authors earlier
papers (link
to my review) which looks at chemotaxis towards lysed phytoplankton. The
information about the speed dependant precision from this study may affect how
models of resource utilisation and microscale interaction are designed and used
to predict the wider ecological consequences this could have.
Son. K., Menolascina. F., Stocker. R. (2016) Speed-dependant
chemotactic precision in marine bacteria. PNAS.
113 (31). 8624-8629
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