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Progut Info Letter 2/2008
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Progut Info Letter 2/2008
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25.04.2008
1. Objective
The aim of the study was to investigate the effect of
hydrolysed brewery yeast Progut™ on rumen microbial fermentation and microbial community structure with different
silage-to–compound feed ratios. Different silage-to- compound feed mixtures were used to simulate the feeding
during the whole lactation period.
2. Materials and methods
The effect of Progut™ on rumen microbial fermentation
was investigated in a rumen simulation study by Alimetrics Ltd. in Finland in 2007. An in vitro model imitating
the rumen fermentation processes as closely as possible was used. Total gas production, pH, short chain fatty acid
production (SCFA) and volatile fatty acid (VFA) production were measured and the total number of microbes was
determined by flow cytometry. The microbial community structure was analysed by sequencing of the 16S rDNA gene. There
were three different basic diets in the trial.
1) 75 % compound feed and 25 %
grass silage
2) 50 % compound feed and 50 %
grass silage
3) 25 % compound feed and 75 %
grass silage
3. Results
3.1. The effect of Progut™ on rumen microbial fermentation
Addition of the hydrolysed brewery yeast (Progut™)
increased rumen fermentation rate with all three silage-to-compound feed ratios (figure 1). The highest enhancement was
seen during 2 to 8 hours of fermentation. In later stages the fermentation was slower and Progut™ had less
effect. Therefore, it can be considered that Progut™ specifically stimulates the highest metabolic activity stage
of rumen fermentation.
Similarly, Progut™ increased the production of
microbial biomass with all three diets (figure 2) during the first six hours of the simulation. At 12 hours it had an
effect on microbial biomass only with the highest silage diet. In the end of the simulation (24 h) Progut™
increased microbial biomass with all basic diets but the difference to control was statistically significant only with
the highest compound feed diet (figure 3). The results from the microbial community structure analysis presented in
3.2. show that the increase in the microbial biomass in different stages of fermentation was caused by different
microbial groups.
Figure 1. Cumulative gas production

Figure 2. The total number of microbes at 6 hours of
simulation

Figure 3. The total number of microbes at 24 hours of
simulation

First six hours of the simulation was dominated by lactic
acid production and only small amount of longer chain VFA’s were produced during that period. Later on, lactic
acid to VFA ratio decreased in a manner that closely matches with the increase in propionate production. Thus, it seems
likely that lactic acid is to large part converted to propionate. The increase in the compound feed-to-silage ratio
increased lactic acid production, like expected, and thereby also propionic acid concentration in the end of the
fermentation (results not shown here).
Progut™ significantly increased SCFA production after 6
hours of simulation with the two highest compound feed ratios (table 1). There was a non-significant tendency for
higher lactic acid production with Progut™ addition. However, it didn’t have any major effect on the rumen
pH. At 24 hours it significantly increased SCFA and VFA production with all three diets. Increase in the VFA production
at later stage of fermentation was mainly due to increased propionate production. Acetic acid and butyric acid
production were less affected by Progut™ addition. Lactic acid is the main SCFA at early stage of rumen
fermentation and it’s later converted to propionate by normal rumen microbes. Results from this study indicate
that Progut™ improved the conversion of lactic acid to propionate.
In the present study Progut™ increased both the
production of energy and protein by increasing the short chain fatty acid production and by increasing the number of
rumen microbes during the simulation process with all three basic diets (figure 4). Thus, it remarkably decreased the
amount of undegraded feed.
Table 1. The effect of Progut™ on the production of
SCFA with different basic diets
|
Silage 75 % Compound feed 25 % |
Silage 50 % Compound feed 50 % |
Silage 25 % Compound feed 75 % |
| SCFA 6 h |
|
++** |
++** |
| SCFA 24 h |
++*** |
++*** |
+** |
| VFA 6 h |
|
|
++** |
| VFA 24 h |
++** |
++** |
++**** |
| Acetic acid 6 h |
|
|
++** |
| Acetic acid 24 h |
+* |
+* |
+**** |
| Butyric acid 6 h |
|
|
++* |
| Butyric acid 24 h |
|
|
|
| Propionate 6 h |
|
|
|
| Propionate 24h |
++** |
++** |
++** |
| Lactic acid 6 h |
|
|
|
| pH 6h control |
6.62 |
6.60 |
6.58 |
| pH 6h Progut |
6.62 |
6.58 |
6.55 |
+ increase by 0-5
%
* 0.05 > p- value > 0.01
++ increase by 5-10 %
** 0.01 > p.value > 0.001
+++ increase by > 10
%
*** 0.001 > p-value > 0.0001
**** p-value < 0.0001
Figure 4. The effect of Progut™ on rumen fermentation
parameters

3.2. Progut™ stimulated metabolically active microbes in rumen
To summarize the structure and function of microbial
community at the three time points, starch degradation and consequent lactic acid production by the Streptococcus
bovis group was the dominant process during the first six hours of simulation (figure 5) which is in line with the
observed high lactic acid concentration at the 6 hour time point (3.1.). As the simulation proceeded further, also
fiber degradation started to take place and microbes with cellulolytic activity, Butyrivibrio fibrisolvens and
Prevotella spp., increased in proportion. The proportion of lactic acid degraders, Selenomonas spp.,
increased over time, in line with the concomitant decrease in lactic acid concentration and increase in propionate
concentration.
When assessing the effects of Progut™ on the microbial
community structure, one should keep in mind the highly dynamic nature of the simulation: the proportions of microbial
groups change with the feed ratio and along the simulation time. The microbial samples taken at a certain time point
integrate the history of the microbial community until that time point; however in a matter where changes in the
community structure close to the sampling time affect the results more than changes with longer temporal distance to
the sampling time. Progut™ had clearest effect on the number of lactate degrading Selenomonas spp. group
bacteria. It tended to increase the amount of this bacteria group at 12 hours with the two highest compound feed diets
and significantly increased its amount at 24 hours with the high silage diet (figure 6).
Figure 5. Relative proportions of the main microbial groups
along the simulation

Figure 6. The effect of Progut™ on lactate degrading
Selenomonas spp..
The stimulatory effect of Progut™ on the cellulolytic +
amylolytic microbes was statistically significantly detected for the high silage treatment at 24 hour time point (p =
0.004). At this time point Progut™ increased the proportion of cellulolytic + amylolytic bacteria from < 20 %
up to > 45 % with the high silage diet but didn’t have an effect with the other diets (figure 7). Overall, the
results suggest that Progut™ always stimulates those microbes that are metabolically most
active.
Figure 7. The effect of Progut™ on
cellulolytic+amylolytic microbial groups

4. Conclusions
-
Progut™ significantly increased the rumen fermentation rate and the production of microbial biomass with all
three silage-to-compound feed ratios during early stages of the simulation
- It
also significantly increased SCFA and VFA production with all three basic diets, affecting most on the production of
propionate
- By
increasing the number of rumen microbes and by increasing the production of SCFA Progut™ improved the production
of protein and energy and decreased the amount of undegraded feed. The improvement was similar with all three
silage-to-compound feed ratios indicating that its effect is equal in different lactation phases.
- In
later stages of the simulation Progut™ enhanced cellulolytic microbes and lactic acid degraders, especially with
the high silage diet which was in line with the observed improvement in propionate production. Overall it seemed to
favour those microbes that were metabolically most active.
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