3. Results and
Discussion
3.1 The encapsulation and cultivation
of single yeast cells in picoliter microdroplets
Similar to the standard method used to measure the average growth rate
of bulk populations, the procedure for the microfluidic droplet
technique used in this study to measure the growth of single yeast cells
includes three main steps: 1) preparation, 2) measurement and 3)
analysis (Figs. 1A and 1B). 1) Uniformly distributed microdroplets
containing single cells and a small volume of culture medium, subject to
a range of different environmental conditions, are generated; 2) the
number of cells per droplet and fluorescence intensity of GFP-tagged
cells are tracked as cells grow over time; and 3) the growth rate of
each cell within the microdroplet is obtained and single-cell growth
under varying environmental conditions (with PA, AA and K-ions at
different concentrations) is investigated and compared.
Before cell encapsulation within microdroplets, the overnight culture
and preculture protocols were successively performed to ensure yeast
cells were rapidly proliferating but this also results in an
asynchronous culture, containing single cells, single cells with small
buds, and cells with large buds. In practise, the budded cells were
counted as single cells when the buds did not exceed the one-half the
size of the mother cell. Cell density was diluted to an
OD600 of 0.1 (3 × 106 cells/mL) with
fresh medium and density-matching reagent to ensure the substantial
majority (>82%) of cell-laden droplets contained just one
cell. According to the Poisson distribution, this concentration of cells
theoretically maintains high efficiency of single-cell encapsulation
(Liu et al., 2020). It is worth noting that under these conditions the
majority (65%) of droplets do not contain any cells. The
density-matching reagent used here is 20% OptiPrepTM,
which prevents the sedimentation of yeast cells at the inlet and
guarantees the neutral buoyancy of cell suspensions for
~30 mins (Allazetta et al., 2015). The asynchronous
nature of the cell population combined with the small statistical
probability for more than one cell per droplet leads inevitably to some
experimental uncertainties in measured cell growth notionally arising
from a single cell origin.
The growth of single S. cerevisiae CEN.PK 113-7D cells in
~ 144 pL microdroplets without acid stress is
illustrated by the images of Fig. 1C. After culture of 18 hrs, the
droplets shrank from ~ 144 pL (empty droplets) to
~ 65 pL (yeast-containing droplets) driven by osmosis.
The yeast cells kept consuming the glucose from the medium in droplets
and induced water efflux to equalize the solute concentration inside and
outside the droplets (Joensson et al., 2011; Siedler et al., 2017). No
significant size differences were detected between the same types of
droplets. Apart from this, the yeast-containing droplets cells did not
experience any noticeable disruption, such as merging and burst, after
long-term storage, thus the single yeast growth can be quantitatively
and accurately tracked over 24 hours within this type of droplet.
3.2 The effect of acid stress on the
growth of single wild-type S. cerevisiae cells in picoliter
microdroplets
First, we tracked the growth of the single S. cerevisiae CEN.PK
113-7D cells in ~144 pL microdroplets without acid
stress over 24 hours. In Fig. 2A, we plotted the number of cells per
droplet at a logarithmic scale based on the first ten hours of culture,
assumed during exponential phase. The value of µ for single S.
cerevisiae cells in microdroplets was calculated to be 0.23 ± 0.03
h-1, identical to that reported for bulk populations
(0.21 ± 0.01 h-1) within experimental uncertainty.
Then we plotted the number of cells per droplet at eight selected time
points: 0 hr, 2 hrs, 4 hrs, 6 hrs, 8 hrs, 10 hrs, 18 hrs and 24 hrs.
(Fig. 2B). In general, the number of cells per droplet increases over
time: single yeast cells (at 0 hrs) grow to 3.2 ± 1.4 at 2 hrs, 5.7 ±
2.0 at 4 hrs, 8.7 ± 2.2 at 6 hrs, 11.6 ± 2.7 at 8 hrs, 14.6 ± 3.1 at 10
hrs, 42.2 ± 7.0 at 18 hrs and 50.0 ± 8.0 at 24 hrs. The number of cells
per droplet is seen to increase monotonically over time, but with an
increasing spread of cell-counts for the later time (18 hrs and 24 hrs).
Also, the heterogeneity in the proliferation of single yeast cells is
demonstrated. At 24 hrs, a small portion (i.e., 5%) of microdroplets
contain more than 60 cells, whereas another small proportion (i.e.,
6.7%) of microdroplets has less than 40 cells. This is evidence of
subpopulations exhibiting diverse traits that are obscured in bulk
assays at the population level. It is noteworthy that after the culture
of 18 hrs, the amount of yeast in droplets altered slightly compared to
the previous growth, indicating that the yeast cells had reached the
stationary phase due to the scarce nutrient and limited space. Droplet
size can be tuned to enable different scales of cell culture and has
been observed in other studies (Pan et al., 2011; Siedler et al., 2017).
Secondly, we investigated the effect of acid stress on cell growth by
tracking and comparing the growth of single S. cerevisiae cells
with the addition of PA (at 7.5 mM and 35 mM, Fig. 2C) and AA (at 50 mM
and 67 mM, Fig. 2D). The study of yeast growth and responses to PA and
AA is of great importance, because PA is a valuable organic acid
produced by yeast during fermentation, and AA is a main growth inhibitor
found in lignocellulose hydrolysate for lignocellulose-based biofuel
production. Experimental results show that microdroplets enable cell
growth in all conditions. In more detail, at 7.5 mM PA, single cells in
microdroplets grow to 31.0 ± 5.5 and 40.0 ± 4.8, respectively, at 18 hrs
and 24 hrs; while at 35 mM PA, single cells grow to 3.1 ± 1.4 at 18 hrs
and 3.8 ± 1.4 at 24 hrs (Fig. 2C). At 50 mM AA, single cells in
microdroplets grow to 13.9 ± 2.6 and 22.0 ± 5.84, respectively, at 18
hrs and 24 hrs; while at 67 mM AA, single cells grow to 8.6 ± 2.7 at 18
hrs and 12.4 ± 3.1 at 24 hrs (Fig. 2D). Moreover, we found that growth
of single S. cerevisiae cells responds sensitively to both acids
and decreases as the concentration of acids increases. At 24 hrs, the
number of yeast cells per microdroplet under 7.5 mM PA (40.0 ± 4.8) and
35 mM PA (3.8 ± 1.4) declined, respectively, to 80.0% and 7.6% of that
for no acid control (50.0 ± 8.0) (Fig. 2C). Additionally, at 24 hrs, the
number of yeast cells per microdroplet decreased to 44.0% (22.0 ± 5.84)
and 24.8% (12.4 ± 3.1) of cell number of the control group (no AA),
respectively, when the concentration of AA increased to 50 mM and 67 mM
(Fig. 2D). It is noteworthy that only the cell counts per droplet with
the addition of 7.5 mM PA can be well fitted to sigmoid growth curve,
indicating the small volume of PA, like 7.5 mM, did not affect yeast
growth much but the large volume of that and AA will impose negative
effect since the beginning of cell growth. These results indicate that
the growth and physiology of single cells in microdroplet are the same
as those of yeast populations grown in bulk, although microdroplet
culture reveals subpopulation phenomena that are obscured by population
average measurements.
3.3 The effect of K+on the growth of single GFP-tagged S. cerevisiae cells in picoliter
microdroplets
Since biochemical assays are typically measured using fluorescence
detection techniques, we investigated the growth of fluorescent
GFP-tagged S. cerevisiae strain (CEN.PK2-1C) to demonstrate the
capability of our platform for fluorescence-based quantification and
detection of single-cell features. Both bright-field and fluorescence
images show that the number of fluorescent cells per droplet increases
over time (Figs. 3A and 3B). We counted the number of cells per droplet
at five selected time points: 2 hrs, 6 hrs, 10 hrs, 18 hrs and 24 hrs
(Fig. 3C). The data shows that growth from single cells has a high
degree of variability: although the average cell number per droplet is
14.4 ± 3.3 at 24 hrs, a few microdroplets (i.e., 3.3%) contain more
than 20 cells, whereas some microdroplets (i.e., 15%) contain less or
equal to 10 cells. This is further evidence of cellular subpopulation
with different growth growth rates which are obscured in bulk assays.
In S. cerevisiae , potassium uptake has been shown to stabilize
membrane potential, and mediate intracellular pH, protein synthesis and
function (Arino et al., 2010; Kahm et al., 2012; Yenush et al., 2002).
In previous studies, potassium supplementation was also demonstrated to
be beneficial to PA-tolerance behaviours of S. cerevisiae (Xu et
al., 2019). We firstly tracked the growth of single CEN.PK2-1C cells in
microdroplets under a fixed potassium defined condition (10 mM
K+) with or without 25 mM PA (Fig. 3D). The results
show that yeast growth in microdroplets was inhibited under PA stress
condition when the medium contains 10 mM K+.
We then applied another two concentrations of K+,
excessive supply of 50 mM and a scanty supply of 1 mM, when the
concentration of PA is fixed at 25 mM (Fig. 3E). Compared to the µ under
10 mM K+ at 24 hrs, there is a 38.9% increase when 50
mM K+ was used, and no significant decrease when the
concentration of K+ reduces to 1 mM. These results
agree with the previous findings that extracellular supplementation of
K+ can increase PA tolerance in yeast, and potassium
influx is important to increase organic acid tolerance in S.
cerevisiae By using the GFP-labelled strain and supplementing
K+ under PA stress conditions, we have shown that
single-cell culture in microdroplets demonstrate the same phenotype and
the similar growth profiles as bulk cultures, although cell-to-cell
variations in proliferation are observed. We conclude therefore that the
microdroplet platform can reliably quantify the effects of external
factors on cell growth and complex physiology under varying conditions.
3.4 The growth of wild-type and PA
evolved mutant S. cerevisiae strains in picoliter
microdroplets
ALE has previously been employed to improve PA tolerance in yeast, and
PA-3 is one of the isolated strains with increased PA tolerance after
performing ALE. The non-synonymous mutation in potassium transporter
encoding gene TRK1 , has been confirmed to be the cause of the
increased PA tolerance (Xu et al., 2019). To demonstrate that
microdroplets could be used to track the growth of yeast mutant strains,
we monitored and compared the growth of PA evolved mutant strain (PA-3)
and its parental strain (CEN.PK 113-7D) when 15 mM PA was applied
(Fig.4). The experimental data confirms that PA-3 grows faster and
reaches a significantly higher average number of cells per droplet,
i.e., 18.0 ± 3.0 at 24 hrs, whereas the average number of cells per
droplet for wild-type strain is 5.2 ± 1.3 at 24 hrs (Fig. 4). This
result demonstrates that the microdroplet reactor approach is effective
for both normal and mutant strains of S. cerevisiae and holds
their difference in cell growth and physiology at the population level
when single cells are tracked in microdroplets.
3.5 The growth of single P. pastoris
cells in picoliter microdroplets
In order to demonstrate that this platform can be applied to species
other than S. cerevisiae , we tracked the growth of GFP-taggedP. pastoris strain (CBS7435-GFP) at a single-cell level in
~144 pL microdroplets. P. pastoris has a similar
cell size to S. cerevisiae , but the proliferation behaviour is
different. The CBS7435-GFP used here tended to aggregate in the center
of the microdroplets due to the lack of motility. The bright-field and
fluorescence images (stacks of eight slices) show that single P.
pastoris cells are able to grow in microdroplets over time (Fig. 5A).
The distribution of fluorescence intensity of cells within the
microdroplets at five selected time points demonstrated the variations
between individual cells (Fig. 5B). Although some outliers exist, the
growth curve of P. pastoris shows a similar profile over 24 hours
to that of S. cerevisiae under normal conditions. This indicates
that the fluorescence measurement can quantitively indicate the growth
of single cells in microdroplets and demonstrates that the microdroplet
bioreactors used in this study can maintain and screen of growth of
single yeast cells of different species.
3.6 Viability assays of S. cerevisiae
and P. pastoris grown in microdroplets
We used the cell staining live/dead kit to investigate whether 24 hours
or a prolonged period of culture will affect the viability of S.
cerevisiae and P. pastoris . This is to ensure that encapsulation
and cultivation of cells in microdroplets is a feasible and stable
method for long-time single-cell assays.
The viability tests were performed and compared at three time points:
before encapsulation, after 24 hrs and 48 hrs of encapsulation. The
bright-field and fluorescence images show that both S. cerevisiaeand P. pastoris cells maintain a high level of viability after 24
hours of culture (Fig. 6A). For S. cerevisiae , 94.4 ± 1.3% cells
remain alive after 24 hours of culture, and cell viability slightly
decreases to 93.6% ± 1.7% after 48 hours of culture; while forP. pastoris , 97.8 ± 0.8% and 95.5% ± 1.1% cells remain alive
after 24 hours and 48 hours of culture, respectively (Fig. 6B).
Considering that the oil-removing reagent,
pico-breakTM, contains PFOH
(1H,1H,2H,2H-Perfluoro-1-octanol) which is a potential chemical hazard
for yeast cells, the measured viability of encapsulated cells may
represent an underestimate of the true viability. Moreover, the result
of one-way repeated measures ANOVA (P <0.005) shows that there
is no significant difference in cell viability among that before
encapsulation, that for 24 hours and 48 hours of culture. This
demonstrates that the viability of yeasts cultured in microdroplets is
not significantly affected and the method is capable of prolonged assays
of live yeast cells.
In this study, we explored the feasibility of using microdroplets as
bioreactors to screen cell-to-cell variations in growth. Cell
encapsulation in microdroplets is a random process limited by the
Poisson distribution but affected by cell sedimentation, leading to a
majority of droplets that are empty. To maximize the proportion of
single cell-encapsulated microdroplets without any noticeable damage, we
used a non-ionic solution of 60% iodixanol, OptiPrep™, which has proved
to be biocompatible, has low osmotic pressure and low intrinsic
viscosity suitable for the culture of cells in microdroplets (Allazetta
et al., 2015; Ma et al., 2017). Here, we used the addition of 20%
OptiPrep™ to reduce the effect of cell sedimentation (the density of
yeast cells is 1.1g/mL, which is higher than that of culture medium),
and to temporarily create neutrally buoyant cell suspensions without
noticeable adverse effects. This concentration of OptiPrep™ (i.e., 20%)
enables the generation of a total of 830,000 microdroplets
(~ 28.0% containing single yeast cells) in 30 mins. We
note, however, that for studies that require a continuous generation of
large amounts of cell-laden microdroplets, a higher concentration of
OptiPrep™ or an alternative density-matching reagent of higher density
may be necessary.
Moreover, we demonstrated the capability of droplet microfluidic
platform for quantitatively tracking of single yeast cell growth of
different species, genotypes and phenotypes, and also under different
environmental conditions. When single cells are contained in isolated
environments, not only can the growth rate of cells be screened, but
also the phenotypes to secrete multiple high-value bioproducts (e.g.,
organic acids, antibodies and cellulases), since all the secreted
products are confined within the microdroplet compartments. We can also
obtain further understanding of genetic and molecular mechanisms
underpinning beneficial phenotypes due to the genotype-phenotype
linkages provided by the microdroplets. By combining with
high-throughput screening and sorting technologies, e.g.,
fluorescence-activated cell sorting (FACS) and image-activated cell
sorting (IACS) (Nitta et al., 2018), this platform can accelerate the
progress of development of yeast strains with desirable properties
(e.g., high yield of valuable products, high environmental tolerance and
high growth rate) for industrial applications.