Bacterial Growth and Nutrition
Download
Report
Transcript Bacterial Growth and Nutrition
1
Bacterial growth defined
• Since individual cells double in size, then divide into
two, the meaningful increase is in the population
size.
• Binary fission: cell divides into two cells. No
nucleus, so no mitosis.
• Cells do not always fully detach; produce pairs,
clusters, chains, tetrads, sarcina, etc.
2
Mathematics of bacterial growth
• Because bacteria double in
number at regular intervals,
they grow exponentially:
• N = N0 x 2n where N is the
number of cells after n
number of doublings and
N0 is the starting number of
cells.
• Thus, a graph of the Log of
the number of bacteria vs.
time is a straight line.
The Bacterial Growth Curve
log (# of bacteria)
• Bacteria provided with an abundant supply of
nutrients will increase in number exponentially, but
eventually run out of nutrients or poison themselves
with waste products.
3
2
1
tim e
4
1. Lag phase
2. Exponential or
Log phase
3. Stationary
phase
4. Decline or
Death
phase.
3
4
• Lag phase: growth lags; cells
are acclimating to the medium,
creating ribosomes prior to
rapid growth.
• Log phase: cells doubling at
regular intervals; linear graph
when x-axis is logarithmic.
log (# of bacteria)
Growth curve (continued)
tim e
•Stationary phase: no net increase in cell numbers, some
divide, some die. Cells preparing for survival.
•Decline phase: highly variable, depends on type of bacteria
and conditions. Death may be slow and exponential.
5
More about Growth
• The Growth curve is true under ideal conditions; in reality,
bacteria are subject to starvation, competition, and rapidly
changing conditions.
• Generation time: the length of time it takes for the
population to double.
35
30
•Growth of bacteria is nonsynchronous,
not every bacterium is dividing at the
same time.
•Instead of stepwise curve, smooth
curve
25
20
15
10
5
0
1
2
3
4
5
6
6
Measurement of growth
• Direct methods: cells
actually counted.
– Petroff-Hausser
counting chamber
(right), 3D grid. Count
the cells, multiply by a
conversion factor.
– Dry a drop of cells of
known volume, stain,
then count.
• Coulter-counter: singlefile cells detected by
change in electric current.
7
Measurement of growth -2
• Viable plate count
– Relies on bacteria being alive,
multiplying and forming colonies.
– Spread plate: sample is spread on
surface of agar.
– Pour plate: sample is mixed with
melted agar; colonies form on
surface and within agar.
biology.clc.uc.edu/.../Meat_Milk/ Pour_Plate.htm
8
Filtration:
•Membrane filters are very thin
with a defined pore size, e.g.
0.45 µm.
•Bacteria from a dilute sample are
collected on a filter; filter placed
on agar plate, colonies counted.
http://dl.clackamas.cc.or.us/wqt111/coliform-8.jpg
http://www.who.int/docstore/water_sanitation_health/labman
ual/p25bs.jpg
9
Spectrophotometry
• Bacteria scatter light, making a turbid (cloudy) suspension.
• Turbidity is usually read on the Absorbance scale
– Not really absorbance, but Optical Density (OD)
• More bacteria, greater the turbidity (measured as OD)
Based on www.umr.edu/~gbert/ color/spec/Aspec.html
10
More about Spectrophotometry
– Does NOT provide an actual number unless a calibration
curve (# of bacteria vs. O.D.) is created.
• Indirect counting method
– Quick and convenient, shows relative change in the
number of bacteria, useful for determining growth
(increase in numbers).
– Does NOT distinguish between live and dead cells. To
create a calibration curve, best to plot OD vs. number of
cells determined with microscope (not plate count).
11
Biomass:
• Measure the total mass of cells or amount of any component
such as protein, PS, DNA, KDO.
• Especially when cells are doubling, the amounts of all the
components of a cell are increasing at the same rate, so any
could be measured.
– Not so in
stationary phase.
4.50
4.00
3.50
Note different ratios
of carbohydrate
(slime) to protein in
these cells.
C:P Ratio
3.00
2.50
2.00
1.50
1.00
0.50
0.00
Bacterial Isolates