348
25
Phenomics
it has long been recognized that the determination of PON1 status requires more than
genotyping: 3 both the catalytic activity of individual molecules and their abundance
in serum are important. 4 Within a given population, serum PON1 activity can vary
by one to two orders of magnitude; it is modulated by numerous transgenic factors,
including environmental chemicals, drugs, diet and age.
25.2
Phenotype Microarrays
Microbes, with their relatively limited phenotypic repertoire, and even individual
cells from multicellular organisms, are amenable to high throughput array-based
assays analogous to gene microarrays (Sect. 18.1). Systems in current use are based on
arrays of microwells, each well containing the cells and other necessary components.
One approach is based on cell respiration as a universal monitor of cellular activity;
it is monitored colorimetrically via the reaction of NADH with a reporter dye. 5
Another approach is based on OWLS (Sect. 23.8.2) in an array format. 6 The latter is
potentially much more powerful because a much more detailed view of phenotype
can be obtained, including the kinetics of shape changes and of the redistribution of
material within the cell. 7
25.3
Ethomics
The phenotype of multicellular organisms needs more sophisticated approaches than
what can be achieved using a microarray (Sect. 25.2). 8
The enormous growth in computing power has rendered feasible camera-based
methods for automatically quantifying the individual and social behaviours of crea-
tures as sophisticated as flies. 9 Such methods rely on machine-vision algorithms
capable of accurately tracking many individual flies, and classification algorithms
for the diverse behaviours displayed by the flies. Once the trajectories have been
captured, one needs to reduce the data in order to allow, for example, classification
into behaviours. This can be achieved by classifying segments of trajectories into
discrete behavioural states. 10
3 Richter and Furlong (1999).
4 Furlong (2008).
5 Bochner et al. (2001).
6 E.g., Orgovan et al. (2014).
7 Ramsden and Horvath (2009).
8 See Zumpe and Michael (2001) for an excellent introduction to the behavioural science of higher
organisms.
9 E.g., Branson et al. (2009).
10 Branson et al. (loc. cit.).