Fermentation dynamics and benzylic derivative production were evaluated in the fermentation broth of six different Ischnoderma resinosum (P. Karst) isolates over a period of 30 days to understand their potential applications in bioreactor optimization for natural flavor compound production. d-Glucose and d-fructose levels decreased from 20.4 ± 0.4 to 7.1 ± 1.4 g/L and 1.0 ± 0.1 to <0.1 g/L, respectively, in all fermentations. Isolate I2 produced the highest concentration of ethanol (546. 4 ± 0.4 mg/L). l-Lactic acid production varied between 4.3 ± 0.6 and 3.7 ± 0.2 mg/L, whereas acetic acid concentrations decreased from 81.0 ± 3.3 to <40.0 mg/L. pH decreased from 4.9 ± 0.0 to 3.6 ± 0.4 at the end of 30 days in all fermentations. Isolate I3 was the highest producer of benzaldehyde (BA) (12.0 ± 0.2 mg/kg) and 4-methoxybenzaldehyde (4-MBA) (239.6 ± 3.9 mg/kg), while isolate I4 was the highest producer of 3,4-dimethoxybenzaldehyde (3,4-DMBA) (27.8 ± 0.2 mg/18 kg). Identification of isolate I3 as a high BA and 4-MBA producer and isolate I4 as a high 3,4-DMBA producer suggested differential benzylic derivative production among I. resinosum isolates. This study lays the foundation for future investigations evaluating additional I. resinosum isolates for benzylic derivative production as well as studies aimed at bioreactor optimization with potential commercial application.
Fermentation dynamics and benzylic derivative production were evaluated in the fermentation broth of six different Ischnoderma resinosum (P. Karst) isolates over a period of 30 days to understand their potential applications in bioreactor optimization for natural flavor compound production. d-Glucose and d-fructose levels decreased from 20.4 ± 0.4 to 7.1 ± 1.4 g/L and 1.0 ± 0.1 to <0.1 g/L, respectively, in all fermentations. Isolate I2 produced the highest concentration of ethanol (546. 4 ± 0.4 mg/L). l-Lactic acid production varied between 4.3 ± 0.6 and 3.7 ± 0.2 mg/L, whereas acetic acid concentrations decreased from 81.0 ± 3.3 to <40.0 mg/L. pH decreased from 4.9 ± 0.0 to 3.6 ± 0.4 at the end of 30 days in all fermentations. Isolate I3 was the highest producer of benzaldehyde (BA) (12.0 ± 0.2 mg/kg) and 4-methoxybenzaldehyde (4-MBA) (239.6 ± 3.9 mg/kg), while isolate I4 was the highest producer of 3,4-dimethoxybenzaldehyde (3,4-DMBA) (27.8 ± 0.2 mg/18 kg). Identification of isolate I3 as a high BA and 4-MBA producer and isolate I4 as a high 3,4-DMBA producer suggested differential benzylic derivative production among I. resinosum isolates. This study lays the foundation for future investigations evaluating additional I. resinosum isolates for benzylic derivative production as well as studies aimed at bioreactor optimization with potential commercial application.
Biotechnological production of natural
flavor ingredients has been
an area of continual research interest since its introduction over
20 years ago.[1−3] There are over 100 estimated natural flavor ingredients
produced via enzymatic or microbial
processes available for consumption.[4−7] The expanding interest in natural flavors
is driven primarily by increasing consumer demand for all-natural
products. Flavor compounds produced by employing raw materials via
microbial or enzymatic methods are labeled “natural”
under both European and US legislation.[2,8] Additionally,
natural flavor production through biotechnological routes offers a
more sustainable alternative to traditional cultivation, wild harvesting,
and chemical synthesis.[4,5]A rising consumer preference
for naturally derived flavor ingredients
has increased the use of microbial sources such as white-rot fungi,
which have become popular and more sustainable alternatives to the
use of botanical materials.[9−11] Two methods of biotechnological
flavor production include de novo synthesis and bioconversion. De novo synthesis refers to production via microbial fermentation
in cultivation media not supplemented with precursor compounds. In
contrast, bioconversion implies the biosynthesis of flavor compounds
through the introduction of precursors to the cultivation media.[4] A variety of metabolites with and without commercial
applications are produced during de novo synthesis
owing to the total enzymatic profile of the microorganism. However,
targeted metabolites with a commercial value can be produced from
specific precursors introduced to the microbial fermentations through
one or many biochemical steps during bioconversion.[4] Many microorganisms have been identified with metabolic
potential for de novo biosynthesis or bioconversion
of commercially viable flavor compounds in culture media.[12−14] However, the concentrations in these natural microbial sources are
usually too low for cost-effective applications.[15] Thus, understanding the biosynthetic pathway, fermentation
dynamics, and microbial potential for de novo synthesis
and/or bioconversion of metabolites is essential to optimizing and
increasing the yields of natural flavor ingredients with commercial
interest.[13,16]White-rot fungi contain lignin-degrading
enzyme systems involving
a variety of extracellular oxidative enzymes such as laccase, lignin
peroxidase, and manganese peroxidase.[17−20] These enzymes produce a wide
variation of commercially relevant aromatic compounds as byproducts
during lignin degradation.[21] For example,
white-rot fungi such as Bjerkundera adusta, Ischnoderma benzoinum, Dichomitus squalens, and Polyporus
tuberaster have been reported to produce benzyl alcohol
and benzaldehyde, whereas I. resinosum has been reported to produce benzaldehyde (BA), 4-methoxybenzaldehyde
(4-MBA), and 3,4-dimethoxybenzaldehyde (3,4-DMBA).[22−24]Ischnoderma resinosum belongs to
the order Polyporales and family Ischnodermataceae.[25] The shelf-like fruit bodies can be identified in early
to late fall and are widely distributed in North American hardwood
forests. The fungal basidiocarp can be found singly, in groups, or
overlapping clusters on fallen hardwood tree trunks and branches.[25] The mature basidiocarp is velvety, with a tan-to-reddish
brown resin encrusting the body, and a white interior.[25] Younger fruitbodies are pale brown in color,
fleshy, and soft to the touch. Ischnoderma resinosum is edible when young because of its high water content. However,
it becomes inedible and cork-like with age.[25]It has been reported that flavor compound production is dependent
on both the fungal growth rate and growth conditions, thus necessitating
a better understanding of the fermentation dynamics.[26,27]Ischnoderma resinosum has been reported
previously to produce benzylic derivatives with applications in the
food and flavor industry such as benzaldehyde and 4-methoxybenzaldehyde.[23,24] However, evaluation of a variety of isolates is important for understanding
the applicability of I. resinosum fermentations
in benzylic derivative production. However, to the best of our knowledge,
no studies have yet investigated the fermentation dynamics or variations
in benzylic derivative production among several I.
resinosum isolates. Therefore, the aim of this study
was to compare the fermentation dynamics as well as the de
novo production of benzylic derivatives among several I. resinosum isolates collected from the southeastern
United States over a 30 day period. Accordingly, the objectives were
to (1) collect, identify, and cultivate the fungal isolates in liquid
media, (2) evaluate fermentation dynamics of d-glucose, d-fructose, ethanol, l-lactic acid, acetic acid, and
pH for each isolate over 30 days, and (3) quantitate the de
novo production of benzaldehyde, 4-methoxybenzaldehyde, and
3,4-dimethoxybenzaldehyde using stable isotope dilution assays (SIDAs).
Results
and Discussion
Site Description and Sample Collection
Six I. resinosum isolates growing
on dead or decaying
hard wood from the surrounding areas of the Great Smoky Mountain Range
in south eastern United States were collected. Three isolates, namely, I (Sep 2017), I (Oct
2018), and I (Nov 2018), were collected from
Cumberland, Knox, and Cheatham counties in Tennessee, whereas the
remaining three isolates, namely, I (Aug
2018), I (Oct 2018), and I (Nov 2018), were collected from Durham, Wake, and Buncombe
counties in North Carolina, respectively (Figure ). Each isolate was collected, wrapped in
wax paper, sealed, and stored on ice during transportation to the
laboratory at the University of Tennessee, Knoxville. All six isolates
were typical in appearance for I. resinosum as described previously.[25] Fungal basidiocarps
were dark brown in color, thick, and fleshy, with light brown rounded
edges.
Figure 1
Ischnoderma resinosum isolates collected
from six different geographical locations surrounding the Great Smoky
Mountain range.
Ischnoderma resinosum isolates collected
from six different geographical locations surrounding the Great Smoky
Mountain range.
Fungal Culture Identification
Morphological characteristics
combined with ITS sequencing allowed for the identification of isolates I–I as I. resinosum.[23] Phylogenetic
analysis showed that all six isolates clustered together with I. resinosum isolate MH 979275.1 collected from the
United States (Figure ).[23] ITS sequences for I. benzoinum, a European relative to the North American
species, also were obtained from the NCBI database and incorporated
into the phylogenetic analysis. All I. benzoinum isolates clustered separately from the I. resinosum clade, further confirming the identity of the isolates from the
current study. All ITS sequences were deposited in the NCBI database
(Table ).
Figure 2
Phylogenetic
analysis using a maximum likelihood method and general
time reversible model comparing the sequences of the internal transcribed
spacer ribosomal DNA (rDNA) region from six I. resinosum isolates with other Ischnoderma spp. retrieved
from GenBank database.[49] This analysis
involved 17 nucleotide sequences. The numbers above the nodes are
supporting percentages obtained from 1000 bootstrap replicates. The
tree is drawn to scale, with branch lengths measured in the number
of substitutions per site. Evolutionary analyses were conducted in
MEGA X.[50]
Table 1
Isolate, Origin, and NCBI Gen Bank
Accession Numbers
code
isolate
location
Gen Bank
accession number
I1
UT-PW019
Cumberland County, TN
MN 633306
I2
UT-PW081
Durham County, NC
MN 999537
I3
UT-PW093
Knox County, TN
MN 999534
I4
UT-PW094
Wake County, NC
MN 999535
I5
UT-PW096
Buncombe County, NC
MN 999533
I6
UT-PW097
Cheatham County, TN
MN 999536
Phylogenetic
analysis using a maximum likelihood method and general
time reversible model comparing the sequences of the internal transcribed
spacer ribosomal DNA (rDNA) region from six I. resinosum isolates with other Ischnoderma spp. retrieved
from GenBank database.[49] This analysis
involved 17 nucleotide sequences. The numbers above the nodes are
supporting percentages obtained from 1000 bootstrap replicates. The
tree is drawn to scale, with branch lengths measured in the number
of substitutions per site. Evolutionary analyses were conducted in
MEGA X.[50]
Fermentation Dynamics
Fermentation dynamics for all
six fungal isolates were assessed under aerobic conditions at ambient
temperature over a 30 day time period. Utilization of d-glucose
and d-fructose as well as changes in ethanol, l-lactic
acid, acetic acid, and pH levels were investigated. Understanding
the basal levels of each fermentation parameter under normal aerobic
conditions is essential in future bioreactor optimization for production
of benzylic derivatives from I. resinosum.
d-Glucose
Although the d-glucose
utilization varied among isolates, all six isolates consumed d-glucose present in potato dextrose broth (PDB), as indicated by
the gradual reduction from 20.4 ± 0.4 g/L to an average of 5.1
± 1.3 g/L for all isolates, except for I where it remained at 13.0 ± 0.2 g/L on day 30 (Figure ).
Figure 3
Changes in (A) d-glucose and (B) d-fructose for
isolates I through I (denoted as 1 through 6) reported as mean ± standard deviation.
Changes in (A) d-glucose and (B) d-fructose for
isolates I through I (denoted as 1 through 6) reported as mean ± standard deviation.
d-Fructose
Similarly, all
six isolates consumed d-fructose in a growth-dependent manner
over the 30 day time
course. Unlike d-glucose, the concentration of d-fructose in PDB prior to fungal growth averaged at 1.0 ± 0.1
g/L and was quickly reduced to <0.1 g/L between days 21 and 23
in all fermentations but I. The d-fructose levels in I fermentations remained
at 0.1 g/L on day 30, suggesting that the isolate is a slower consumer
of both d-glucose and d-fructose (Figure ).Supplementation of
fermentations with nutrients, especially carbon sources, has been
reported to enhance the fungal growth cycle and subsequent production
of compounds of interest. A previous study evaluating the production
of BA by Rhizopus oligosporus in a
solid-state fermentation system reported that the supplementation
of carbon sources led to enhanced growth and increased BA production.[24] Among the carbon sources evaluated during the
study including d-glucose, fructose, sucrose, lactose, and
maltose, the highest BA productions at 14.84 ± 0.01 and 14.65
± 0.00 mg/g were observed when fermentations were supplemented
with d-glucose and fructose, respectively.[24] Findings from the current study suggest that both I and I, the highest
producers of BA, 4-MBA, and 3,4-DMBA, were able to efficiently utilize d-glucose and d-fructose in their fermentations. Consequently,
supplementation of optimized bioreactor systems with high levels of d-glucose and d-fructose may be advantageous in enhancing
benzylic derivative production from both I and I isolates; however, further studies
are needed to support this hypothesis.
Ethanol
The fermentation
dynamics of all six isolates
were also evaluated according to the production of ethanol over 30
days. A maximum ethanol concentration of 546.4 ± 0.4 mg/L was
reported in the I fermentations on day 18
of the time course. Furthermore, concentrations of 517.3 ± 5.9,
388.8 ± 1.8, 371.7 ± 7.0, and 297.0 ± 5.6 mg/L were
reported for I, I, I, and I respectively.
The lowest producer of ethanol was I at a
peak concentration of 14.4 ± 0.4 mg/L on day 6 (Figure ).
Figure 4
Changes in ethanol production
for isolates I through I (denoted as 1 through 6) reported
as mean ± standard deviation.
Changes in ethanol production
for isolates I through I (denoted as 1 through 6) reported
as mean ± standard deviation.All six isolates from the current study utilized simple sugars
such as d-glucose and d-fructose from PDB to produce
ethanol as a byproduct. Other white-rot fungi have also been reported
to produce ethanol directly from various sugars as well as lignocellulosic
materials such as lignin, cellulose, and hemicellulose.[25−27] For example, the white-rot fungi Lenzites betulinus have previously been evaluated for potential applications in bioethanol
production from monosaccharide, disaccharides, and lignocellulosic
biomass.[28] Glucose was reported as the
most efficient hexose sugar assimilated by L. betulinus to produce ethanol in comparison to mannose, galactose, and cellobiose. L. betulinus produced 7.68 g/L ethanol from 20 g/L
glucose at a 75.1% theoretical yield.[28] In addition to L. betulinus, other
filamentous fungi such as Aspergillus sojae, Rhizopus oryzae, Aspergillus oryzae, and Roseovarius
indicus are capable of assimilating glucose to produce
ethanol. I. resinosum isolates from
the current study produced significantly less ethanol concentrations
to be considered in applications in bioethanol production.[29,30]
l-Lactic Acid
l-Lactic acid concentrations
gradually began to increase on day 3 prior to peak concentrations
followed by a gradual decrease in all fermentations. Both I and I were responsible for
the highest concentrations of l-lactic acid produced on day
21 at 4.3 ± 0.4 and 4.3 ± 0.6 mg/L, respectively. Fermentations I and I both peaked at
4.0 ± 0.3 and 4.0 ± 0.1 mg/L on days 21 and 6, respectively,
whereas I and I produced
the least concentrations of the organic acid at 3.7 ± 0.2 and
3.7 ± 0.6 mg/L on days 21 and 18, respectively (Figure ).
Figure 5
Changes in (A) l-lactic acid and (B) acetic acid concentrations
for isolates I through I (denoted as 1 through 6) reported as mean ± standard
deviation.
Changes in (A) l-lactic acid and (B) acetic acid concentrations
for isolates I through I (denoted as 1 through 6) reported as mean ± standard
deviation.
Acetic Acid
An
average concentration of 81.0 ±
3.3 mg/L acetic acid was detected in PDB on day 0. The levels of acetic
acid gradually decreased to <40.0 mg/L between days 12–21
in all fermentations (Figure ).
pH
pH measurements of the fermentations
were monitored
also throughout the 30 days. Potato dextrose broth had an initial
pH of 4.9 ± 0.0 and decreased to an average pH of 3.6 ±
0.4 by the end of the 30 day time course (Figure ).
Figure 6
Changes in pH for isolates I through I (denoted as 1 through
6) reported as mean ±
standard deviation.
Changes in pH for isolates I through I (denoted as 1 through
6) reported as mean ±
standard deviation.Fungal production of
organic acids has been reported to play key
roles including pH acidification and direct environmental interactions
depending on the type of fungus producing them.[31,32] Previous studies have reported that fermentation of water-soluble
carbohydrates such as d-glucose to l-lactic acid
and/or acetic acid provided a conducive low pH environment for colonization
and growth in Pleurotus spp.[33] In the current study, l-lactic acid production was inversely
related to the levels of d-glucose and d-fructose
in fermentations in agreement with literature.[33] However, acetic acid concentrations decreased throughout
the time course in all fermentations and did not indicate inverse
correlations with use of simple sugars. These observations suggested
that the decreasing pH in fermentations may be partially driven by l-lactic acid, thereby allowing for favorable conditions for
fungal growth and subsequent benzylic derivative production.Interestingly, both acetic acid and l-lactic acid concentrations
reached levels below detection by the end of the 30 day time course.
Therefore, the decrease in pH throughout the 30 days could only be
partially explained by the production of l-lactic acid. Saprobes
such as white-rot fungi have previously been reported to secrete oxalic
acid important in acid-catalyzed hydrolysis of holocellulose into
their fermentation media.[34,35] In addition, white-rot
fungi including Pycnoporus coccineus have also been reported to produce formic acid, resulting in oxalate
decarboxylation as well as pH acidification.[34] Therefore, the pH acidification in the I. resinosum fermentations observed during the current study could potentially
be due to the secretion of other organic acids such as oxalic and/or
formic acid to the fermentation media; however, additional fermentation
studies are needed to explore these possibilities.Bioreactors
are important in many industries, including those involving
fermentation, food, pharmaceuticals, and wastewater treatment. The
main functions of a bioreactor include controlling the environmental
conditions such as pH, temperature, and pressure as well as the nutrient/product
concentrations during the bioprocess. An efficient bioreactor can
maintain the desired biological activity by controlling the temperature,
pH, fluid velocity, shear stress, O2, CO2, nutrient
supply, reaction rate, and cell growth rate. Therefore, a well-optimized
bioreactor system is important in manufacturing end products that
meet government regulations and criteria regarding efficacy, safety,
and quality, in addition to being cost-effective. The current study
is the first investigation to evaluate the basal fermentation dynamics
of several I. resinosum isolates in
liquid cultures. Assessment of changes in d-glucose, d-fructose, ethanol, l-lactic acid, acetic acid, and
pH at ambient temperature under aerobic conditions establishes a foundation
for strain selection and future bioreactor optimization studies for
production of benzylic derivatives from I. resinosum.
Production of Benzaldehyde
Benzaldehyde concentrations
among the six isolates were quantitated using SIDAs over a 30 day
time course. Fermentations from isolate I produced the highest concentration of BA at 12.0 ± 0.2 mg/kg
on day 18, whereas I produced the lowest
concentration of 3.7 ± 0.04 mg/kg on day 15 of the time course.
Concentrations increased over the first 14 days, peaked on day 15,
and decreased throughout the rest of the 30 days in all I (5.6 ± 0.4 mg/kg), I (4.5 ± 0.2 mg/kg), and I (4.2 ±
0.6 mg/kg) fermentations. Benzaldehyde concentration in I fermentations peaked at 5.9 ± 0.5 mg/kg on day
18 and decreased over the next 12 days (Figure ).
Figure 7
Quantitation of benzaldehyde for isolates I through I (denoted
as 1 through 6) over
30 days reported as mean ± standard deviation.
Quantitation of benzaldehyde for isolates I through I (denoted
as 1 through 6) over
30 days reported as mean ± standard deviation.Studies showed that white-rot fungi, including Agaricus
bisporus, A. subrefecens, and D. squalens, produced <1
mg/L BA de novo.[36−39] It was also reported that the
addition of precursors such as l-phenylalanine or tyrosine
to Poria xantha, I.
benzoinum, D. squalens, and B. adusta fermentations significantly
increased the BA production from <1 mg/L to 71–587 mg/L via bioconversion.[22,40] Also, both benzyl alcohol
and benzoic acid have been reported as precursors that can enhance
the production of BA (Figure ).[41] Interestingly, de
novo BA production in I fermentations
was higher at 12.0 ± 0.2 mg/kg than those reported earlier in A. bisporus, A. subrefecens, and D. squalens at <1 mg/L.[36,37] The above findings suggest that the addition of precursors such
as benzyl alcohol, benzoic acid, or l-phenylalanine to I fermentations may further increase BA production,
which would support future bioreactor optimization studies for benzylic
derivative production from I. resinosum.
Figure 8
Proposed biosynthetic pathway of benzaldehyde, 4-methoxybenzaldehyde,
and 3,4-dimethoxybenzaldehyde production in I. resinosum fermentations. Aryl-alcohol oxidases (AAO), aryl-alcohol dehydrogenase
(AAD), aryl-aldehyde dehydrogenase (AADD), lignin peroxidase (LiP),
3-O-methyltransferase (3OM), and
4-O-methyltransferase (4OM) are
all postulated to be involved in the biosynthetic pathway.
Proposed biosynthetic pathway of benzaldehyde, 4-methoxybenzaldehyde,
and 3,4-dimethoxybenzaldehyde production in I. resinosum fermentations. Aryl-alcohol oxidases (AAO), aryl-alcohol dehydrogenase
(AAD), aryl-aldehyde dehydrogenase (AADD), lignin peroxidase (LiP),
3-O-methyltransferase (3OM), and
4-O-methyltransferase (4OM) are
all postulated to be involved in the biosynthetic pathway.
Production of 4-Methoxybenzaldehyde
Isolate I was also identified as the highest producer of 4-MBA.
Concentrations in I fermentations increased
over the first 23 days, peaked on day 24 at 239.6 ± 3.9 mg/kg,
and decreased over the remaining 6 days. Production continued to increase
and then peaked on day 30 at 180 ± 1.6 mg/kg in I fermentations, whereas concentrations peaked on day 27 for
both I and I at
77.9 ± 5.8 and 197.2 ± 7.3 mg/kg, respectively. Isolate I produced the lowest concentration of 4-MBA.
Concentration in I fermentations peaked on
day 24 at 111.9 ± 5.1 mg/kg, whereas that in I peaked on day 21 at 152.6 ± 10.8 mg/kg followed by subsequent
decrease over the time course (Figure ).
Figure 9
Quantitation of 4-methoxybenzaldehyde for isolates I through I (denoted
as 1 through
6) over 30 days reported as mean ± standard deviation.
Quantitation of 4-methoxybenzaldehyde for isolates I through I (denoted
as 1 through
6) over 30 days reported as mean ± standard deviation.Concentration of 4-MBA in I fermentations
peaked on day 24, with a spike in production on day 21. A similar
pattern was also evident in I fermentations,
the second highest producer of 4-MBA, with a spike in production on
day 18. Benzaldehyde concentrations in both I and I fermentations declined from days
21 and 18, respectively. Previous investigations reported BA as a
precursor of 4-MBA in I. resinosum fermentations,
suggesting that BA produced in both I and I fermentations was subsequently converted to
the corresponding high 4-MBA concentrations (Figure ).[41] In addition,
when grown in liquid media, Pleurotus spp. produced
approximately 10–30 mg/L 4-MBA via bioconversion, whereas isolates I and I from the current
study produced 239.6 ± 3.9 and 197.2 ± 7.3 mg/kg, respectively,
with no additional precursors.[36] As a result,
these findings successfully lay the groundwork for future bioreactor
optimizations in the production of natural 4-MBA using I and I fermentations.
Production
of 3,4-Dimethoxybenzaldehyde
Isolate I was identified as the highest producer of 3,4-DMBA
at 27.8 ± 0.2 mg/kg on day 30. Concentrations in I, I, and I fermentations peaked on day 27 at 10.1 ± 0.1, 5.1 ±
0.1, and 5.8 ± 0.1 mg/kg, respectively, whereas the concentration
in I peaked on day 18 at 9.9 ± 2.1 mg/kg.
Isolate I was reported as the lowest producer
of 3,4-DMBA at 3.6 ± 0.2 mg/kg on day 21 (Figure ).
Figure 10
Quantitation of 3,4-dimethoxybenzaldehyde for
isolates I through I (denoted as 1 through
6) over 30 days reported as mean ± standard deviation.
Quantitation of 3,4-dimethoxybenzaldehyde for
isolates I through I (denoted as 1 through
6) over 30 days reported as mean ± standard deviation.Isolate I, responsible
for the lowest
concentrations of BA and 4-MBA, was identified as the highest producer
of 3,4-DMBA. Concentrations of BA and 4-MBA in I fermentations decreased on day 18, whereas 3,4-DMBA concentrations
continued to increase from day 18, suggesting the conversion of BA
and 4-MBA to 3,4-DMBA in I fermentations.
These findings are consistent with the literature reporting BA and
4-MBA as precursors for 3,4-DMBA production (Figure ).[41] Other white-rot
fungi that included B. adusta, Bjerkandera sp., and D. squalens also produced 3,4-DMBA via bioconversion of metabolites such as
4-MBA from lignin degradation processes.[42] Outcomes from the current study allow for the applicability of I isolate to optimization of natural 3,4-DMBA
production from I. resinosum.
Comparison
of Benzylic Derivative Production
Mean comparisons
of BA, 4-MBA, and 3,4-DMBA concentrations in all six isolates on days
18, 24, and 30 were evaluated using one-way ANOVA and Tukey–Kramer
HSD at a significance level of p < 0.05. Days
18, 24, and 30 were chosen based on the highest concentrations recorded
for BA, 4-MBA, and 3,4-DMBA, respectively, during this study. All
six isolates were significantly distinct from each other in their
production of all three compounds (Figure ). Isolate I was
the highest producer of BA and 4-MBA on days 18 and 24, respectively,
whereas I was the highest producer of 3,4-DMBA
on day 30. This comparison among the six isolates highlights and evaluates
their possible use in future optimization studies for increased benzylic
derivative production from I. resinosum fermentations.
Figure 11
Production of (A) benzaldehyde on day 18, (B) 4-methoxybenzaldehyde
on day 24, and (C) 3,4-dimethoxybenzaldehyde on day 30 among isolates I through I (denoted
as 1 through 6). Significant differences were evaluated using one-way
ANOVA and Tukey–Kramer HSD (p < 0.05).
Production of (A) benzaldehyde on day 18, (B) 4-methoxybenzaldehyde
on day 24, and (C) 3,4-dimethoxybenzaldehyde on day 30 among isolates I through I (denoted
as 1 through 6). Significant differences were evaluated using one-way
ANOVA and Tukey–Kramer HSD (p < 0.05).All fermentations were prepared and maintained under the same conditions.
As a result, the observed differences in BA, 4-MBA, and 3,4-DMBA production
could potentially be the result of variations in gene expression leading
to secretome modifications in the biosynthetic pathway for benzylic
derivatives (Figure ). A previous study reported that both aryl-alcohol oxidase (AAO-1,
AAO-4, and AAO-6) and aryl-alcohol dehydrogenase (AAD-1) gene expression
in P. ostreatus were induced in the
presence of secondary metabolites such as benzyl alcohol, 4-methoxybenzyl
alcohol, and 3,4-dimethoxybenzyl alcohol.[41,43] Furthermore, 9 out of 16 transcripts of ligninolytic peroxidase
are encoding genes including six lignin peroxidases (LiPs). Also,
three manganese peroxidases were elevated in Phanerochaete
chrysosporium, whereas in P. ostreatus, only four LiPs were elevated.[44−46] Differential expressions
of Mtrase#1 and Mtrase#2 genes responsible for 4-O-methyltransferase and 3-O-methyltransferase involved
in acceleration of lignin degradation have also been reported in B. adusta, Ceriporiopsis subvermispora B, and Trametes versicolor.[47] However, no transcriptome or secretome analyses
in I. resinosum have been reported
in the literature. Identification of specific isolates such as I and I responsible for
the high production of BA, 4-MBA, and 3,4-DMBA, respectively, in combination
with transcriptomics and functional analysis of enzymes involved in
the biosynthetic pathway may prove useful in future bioreactor optimization
studies.[48]In summary, all six isolates
could assimilate d-glucose
and d-fructose and produce ethanol as a byproduct. l-Lactic acid production was also observed to be inversely related
to the use of d-glucose and d-fructose in fermentations.
Interestingly, also contrary to the available literature, acetic acid
concentrations decreased throughout the time course in all fermentations
and did not indicate any inverse correlation with the use of simple
sugars. In addition, pH also decreased in all fermentations, creating
a conducive environment for fungal growth. Additionally, all six I. resinosum isolates produced BA, 4-MBA, and 3,4-DMBA
in their fermentations at varying concentrations. Isolate I was identified as the highest BA and 4-MBA producer,
whereas I was the highest 3,4-DMBA producer.In conclusion, the fermentation dynamics suggested that supplementation
with d-glucose and/or d-sucrose as well as the reduction
of pH to levels conducive for optimum fungal growth can be utilized
as bioreactor optimization processes to enhance the production of
BA, 4-MBA, and 3,4-DMBA from the selected high producers of benzylic
derivatives. This is the first report to evaluate the fermentation
dynamics and production of benzylic derivatives among several I. resinosum isolates. While additional investigation
into the fungal transcriptome and secretome are underway in our laboratory,
the current study provides a basis for establishment and optimization
of bioreactor systems to produce benzylic derivatives from I. resinosum fermentations.
Materials and
Methods
Microorganism
Six isolates including UT-PW019 (I), UT-PW093 (I), and
UT-PW097 (I) from Tennessee and UT-PW081
(I), UT-PW094 (I), and UT-PW096 (I) from North Carolina
were collected from mature basidiocarps. All specimens were decontaminated
with 10% bleach solution prepared in water for 10 min, washed with
sterile deionized water for 15 min, and then cultured on petri dishes
containing potato dextrose agar (PDA) (Himedia, India). Cultures were
incubated at 25 °C in a Panasonic MIR-254 Cooled Incubator (Panasonic
Healthcare Co., Ltd., Japan). Internal transcribed spacer (ITS) sequencing
with primers, ITS 4 (5′-TCCTCCGCTTATTGATATGC), and ITS 5 (5′-GGAAGTAAAAGTCGTAACAAGG)
was used in species confirmation, as described previously.[23] All six isolates were cryo-preserved at −80
°C in PDB (Himedia, India) supplemented with glycerol (10%, v/v)
as agar plugs by means of a Mr. Frosty Freezing Container (Thermo
Fisher Scientific, Fair Lawn, NJ).
Medium and Culture Conditions
Three 250 mL Erlenmeyer
flasks containing PDB (85 mL) were inoculated with homogenized 7 day-old
mycelia grown on PDA plates (1 mL) for all isolates. Fermentations
were maintained aerobically at 25 °C and agitated at 120 rpm
on an advanced digital shaker (VWR, Radnor, PA).
Reference Standards
BA, 4-MBA, and 3,4-DMBA from Sigma-Aldrich
(St. Louis, MO) were used as authentic reference standards.
Isotopically
Labeled Internal Standards
Both (2H5)-BA and (2H3)-4-MBA were
purchased from C/D/N Isotopes (Quebec, Canada), whereas (2H6)-3,4-DMBA was purchased from aromaLAB (Planegg, Germany).
All isotopically labeled compounds were dissolved in 5 mL volumetric
flasks containing freshly distilled pentane. (2H5)-BA was dissolved at a known concentration, whereas both (2H3)-4-MBA and (2H6)-3,4-DMBA were
quantitated using isotopically unmodified reference standards.
Solvents
Unstabilized diethyl ether from Honeywell,
Burdick & Jackson (Muskegon, MI) and pentane from Millipore Sigma
(St. Louis, MO) were freshly distilled in-house using a 250 mL CG-1233
series distillation head from Chemglass Life Sciences (Vineland, NJ)
prior to general use. Anhydrous Na2SO4 was purchased
from Thermo Fisher Scientific.
Fermentation Culture Dynamics
A Thermo Scientific Gallery
discrete photometric analyzer was used to evaluate fermentation dynamics.
Reagent systems including d-glucose (ref 984304), d-fructose (ref 984302), ethanol (ref 984300), l-lactic acid
(ref 984308), and acetic acid (ref 984318) were purchased from Thermo
Fisher Scientific. Undiluted fermentation broth samples, excluding
the biomass (2 mL), were evaluated every 3 days for 30 days for each
isolate. All tests were performed at 37 °C using a 340 nm filter.
Findings were reported by means of triplicate measurements and standard
deviations using Microsoft Excel for Office 365 MSO version 1811.Photometric determination of d-glucose concentrations was conducted with an enzymatic test
system with hexokinase (HK) and glucose-6-phosphate dehydrogenase
(G6P-DH).Enzymatic test consisting of HK,
phosphoglucose isomerase (PGI), and G6P-DH was employed to evaluate
samples photometrically.Photometric evaluation of
ethanol concentrations
was performed by an enzymatic test with alcohol dehydrogenase (ADH).An enzymatic test with l-lactate dehydrogenase (L-LDH) was used to measure the l-lactic acid concentrations.Acetic
acid concentrations were measured
using an enzymatic test with acetate kinase (AK), coenzyme A (CoA),
phosphotransacetylase (PTA), ADP-dependent hexokinase (ADP-HK), and
G6P-DH.Undiluted fermentation samples were evaluated for
changes in pH with a pH meter from Denver Instruments (UltraBasic,
Arvada, CO) operated at ambient temperature.
Stable Isotope Dilution
Assay (SIDA)
Fungal fermentation
broth, excluding the biomass (2 g), was combined with freshly distilled
diethyl ether (3 mL). Next, a mixture of (2H5)-BA, (2H3)-4-MBA, and (2H6)-3,4-DMBA at 1:1:1 (v/v) ratio was incorporated as an internal standard.
The resulting mixtures were extracted for 10 min at ambient temperature.
The organic fractions were then dried over 1.5 g of anhydrous Na2SO4 prior to gas chromatography–mass spectrometry
(GC–MS) analysis. Concentrations of BA, 4-MBA, and 3,4-DMBA
in each fermentation were calculated in μg/kg using the integrated
area of the analyte peak, isotope labeled standard peak, mass of initial
culture sample, volume of isotopically labeled standard added, and
response factors (RF). Response factor (RF) and m/z (analyte/standard) for each analyte were as follows: benzaldehyde, m/z 105/110, RF 0.90; 4-methoxybenzaldehyde, m/z 135/138, RF 1.90; and 3,4-dimethoxybenzaldehyde, m/z 166/172, RF 0.90. Concentrations of BA, 4-MBA, and 3,4-DMBA in each
isolate were evaluated every 3 days for a 30 day period. Values were
reported as means of triplicate measurements and standard deviations
using Microsoft Excel for Office 365 MSO version 1811. Statistical
analysis was performed with JMP Pro 14.2 software (SAS Institute,
Cary, NC).
Gas Chromatography–Mass Spectrometry
(GC–MS)
Volatile isolates were analyzed using a 78204
GC system coupled
with a 5977B mass spectrometry detector (Agilent Technologies, Santa
Clara, CA). Using an autosampler, samples (1 μL) were on-column
injected cold into a Zebron ZB-FFAP GC capillary column (30 m ×
0.32 mm o.d. × 0.25 μm), purchased from Phenomenex (Torrance,
CA). Helium was the carrier gas at 1 mL/min flow rate. An initial
oven temperature of 35 °C was held for 1 min. Temperature was
then ramped to 60 °C at 60 °C/min followed by a second ramp
at 6 °C/min to reach 250 °C and held for 5 min. The MS source
and quadrupole were maintained at 230 and 150 °C, respectively,
whereas the MS was operated in electron impact (EI) ionization mode
at 70 eV with a scan range of m/z 50–350.
Authors: Amber Vanden Wymelenberg; Jill Gaskell; Mike Mozuch; Phil Kersten; Grzegorz Sabat; Diego Martinez; Dan Cullen Journal: Appl Environ Microbiol Date: 2009-04-17 Impact factor: 4.792