1. Introduction
Over the last decades, coculture strategies for different microorganisms, belonging or not to the same kingdom (e.g., bacteria–bacteria or bacteria–fungus cocultures), have drawn the attention of a lot of microbiologists. This field was basically explored for its attractive results emerging on the level of the metabolism differentiation of cocultured strains [
1]. Nonetheless, other interesting traits of the cocultures are also studied, such as their nutritional dependency and cross-feeding. Metabolic cross-feeding refers to the process by which one strain is capable of using a molecule that is produced by another strain as a nutrient source [
2]. As for nutritional dependency, the cross-feeding is crucial for the growth of the concerned strain. For instance, the rhizosphere is known to enclose a wide variety of microorganisms interacting over nutrients. This interaction applies in the case of the mycorrhizae and the fungi-associated bacteria that grow thanks to the compounds that are produced by these eukaryotes [
3]. In this regard, the uncultivability of 99% of all bacteria and archaea in laboratory conditions is partly due to the dependence of these microorganisms on nutrients or growth factors that are provided by others in their natural habitats [
4,
5]. In fact, according to a metabolic model that was established with 800 microbial communities, it was observed that all of the studied habitats enclose metabolically-dependent groups that swap sugars, amino acids and other metabolites [
6].
In order to understand and to explore their extents, these kinds of nutritional interactions can be enforced through in vitro studies either by genetic engineering whereby a gene deletion can generate an auxotroph strain [
7] or by using a culture medium that is lacking an essential nutrient for the growth of one of the cocultured species. These situations emphasize the metabolic dissimilarities which are essential for the institution of cross-feeding behavior. For example, the establishment of this type of interaction between soil bacteria belonging to the genus
Rhizobium and actinobacteria was realized by using a defined medium containing carboxymethylcellulose as the sole carbon source that can be assimilated by the actinobacteria but not by the
Rhizobium bacteria [
8].
Bacteria and fungi that are involved in the biocontrol of plant pathogens, called biocontrol agents (BCA), are relevant candidates for coculture studies for better understanding and controlling the impact of their interactions on their biocontrol efficiency when combined.
Bacillus and
Trichoderma species are among the most studied BCA. They are usually found in plants’ rhizosphere and have been isolated from the roots of cucumber [
5], tobacco [
9] and wheat [
10]. They are shown to have an antagonistic effect on plant pathogens, especially fungi such as
Fusarium,
Sclerotinia and many others [
11,
12]. Regarding
Trichoderma, its modes of action (mycoparasitism, antibiosis and the induction of plants’ systemic resistance) and advantages (abiotic stress tolerance, high growth rate compared to fungal pathogens, etc.) as a BCA are well described by Adnan et al. [
13]. On its side,
Bacillus, especially
B. velezensis, is well known for its high genetic capacity to produce antimicrobial molecules, especially cyclic lipopeptides [
14]. Among them, surfactin, fengycin and iturin are the most commonly produced families. Some isoforms of the lipopeptides, belonging to the fengycin and iturin families, have already been described as having antimicrobial activities, which can explain the biocontrol behaviors of
Bacillus strains [
15,
16].
In the past few years, only a few studies involving
Bacillus and
Trichoderma’s coculture have been published [
17,
18,
19,
20]. Authors have mainly focused on the influence of the coculture on the production of metabolites of interest. Thereof, they have described a boost to the production of molecules that are involved in conferring the biocontrol properties to the corresponding species. This was recently shown in terms of a
Trichoderma–
Bacillus interaction wherein the coculture of
Bacillus amyloliquefaciens ACCC11060 and
Trichoderma asperellum GDFS1009 improved the effect of the fermentation of liquor by the production of additional antimicrobial substances and amino acids [
19]. The antifungal activity of this
Bacillus strain against the fungus was not described, nor was its potential to produce lipopeptides. Furthermore, the protection of wheat alongside different
Fusarium strains and
Botrytis cinerea was enhanced thanks to the interaction of
T. asperellum GDFS1009 and
B. amyloliquefaciens 1841 [
17]. The latter bacterium was suggested to produce an iturin-like compound but the effect of these potential antifungal molecules on the growth of the cocultured
Trichoderma was not demonstrated. Moreover, a very recent case study of two other strains of
Bacillus and
Trichoderma brought additional evidence on the positive effect of microbial interaction on biocontrol efficacy. The coculture of these microorganisms led to the production of more antifungal molecules than in the respective monocultures [
18]. Thereby, interaction between microorganisms may ensure a better biocontrol effect and growth promotion in plants. The competition between
Bacillus and
Trichoderma in different culture media was reported in almost all of the previous studies, without an accurate assessment of the reason behind this type of interaction. However, a more exhaustive study has highlighted the effect of the inoculation strategy on the latter species’ growth and production. The competition between
Bacillus and
Trichoderma was mitigated by a sequential inoculation. This led to a differential gene expression profile and, subsequently, to a higher protection capacity [
21]. Even though this coculture approach impacted the expression of difficin and macrolactin by
Bacillus, their potential activity against
Trichoderma was not identified. In summary, all of these aforementioned studies have focused on the effect of the interaction between the different strains of
Bacillus and
Trichoderma on the production of secondary metabolites, using cocultures. They did not address any attention to the mechanism that is behind the observed competition between the cocultured microorganisms.
Therefore, the uniqueness of this present study is in it reporting a T. harzianum IHEM5437–B. velezensis GA1 coculture approach that is based on nutritional dependency, from which emerges a positive microbial interaction. First, the main parameter that is involved in the competition between them was determined in a coculture in a rich medium. Thus, a strategy of coculture was developed in a different nutritional condition. This condition was selected based on the nitrogen metabolism analysis of Trichoderma and Bacillus, aiming to favor the cooperation between them. The development of the microorganisms is described, as well as the effects of Trichoderma and its supernatant on Bacillus’ growth and its biosynthesis of lipopeptides through the follow-up of its lipopeptide synthetase genes’ expression.
2. Materials and Methods
2.1. Microbial Strains
Bacillus velezensis GA1, formerly named
Bacillus amyloliquefaciens GA1, was isolated from Italian strawberry fruits by the Laboratorio Vitrocoop Cesana [
22], as identified by Arguelles-Arias et al. (2009) [
23] and fully sequenced by Hoff et al. (2021) [
24]. The strain was stored in 40% of glycerol at −80 °C. An overnight preculture in a tryptone–yeast extract medium (TY) containing 1% (
w/
v) tryptone, 0.5% yeast extract and 0.5% NaCl was used to inoculate the cultures. Bacteria were recovered and washed 3 times with a saline solution (0.9% (
w/
v) NaCl) by centrifugation and then added to the cultures so as to reach a final concentration of 2 × 10
4 cells mL
−1.
Six
B. velezensis GA1 lipopeptides mutants, Δ
srfA, Δ
fenA, Δ
ituA, Δ
srfAΔ
fenA, Δ
srfAΔ
ituA and Δ
ituAΔ
fenA, were kindly provided by the team of Prof. Marc Ongena at the University of Liege—Gembloux AgroBiotech [
25]. They were stored and cultivated in the same conditions as the wild type. The recovered bacteria were washed and their concentration was adjusted to 2 × 10
4 cells mL
−1 in a saline solution.
Trichoderma harzianum IHEM5437 spores were generated on potato dextrose agar plates (PDA, Merck KGaA, Darmstadt, Germany) after 10 days of incubation at 30 °C and later kept at 4 °C. The spores were recovered with a saline solution, to which 0.01% (v/v) of Tween20 was added and they were then counted using a Bürker chamber. The spores were inoculated into the cultures so as to attain a 2 × 105 spores.mL−1 final concentration.
2.2. Media and Culture Conditions
The experiments were conducted in flasks of 500 mL that were filled with 100 mL of TY medium supplemented with 0.1 mM MnCl
2 [
26] of a minimum medium (MM), the composition of which was as follows: 70 mM NaNO
3, 7 mM KCl, 11 mM KH
2PO
4, 2 mM MgSO
4 and 1% (
w/
v) glucose and trace elements (500× stock; 38 mM ZnSO
4, 89 mM H
3BO
3, 12.5 mM MnCl
2, 9 mM FeSO
4, 3.55 mM CoCl
2, 3.2 mM CuSO
4, 3.1 mM Na
2MoO
4 and 87 mM EDTA) [
27]. Three different cultures were performed in triplicate with the inoculation conditions that were described above: a monoculture of
Bacillus, a monoculture of
Trichoderma and a coculture of
Bacillus and
Trichoderma added simultaneously. The cultures were incubated for 1 and 6 days, respectively, in TY and MM at 30 °C and shacked at a rate of 120 rpm. The media’s pH was 6.5 and was not controlled during the culturing process.
The Bacillus cultures were also conducted in supplemented MM. On one hand, the cultures were amended with 10 mM of ammonium sulfate (MMammonium). On the other hand, the Bacillus was grown in MM in the presence of 10% (v/v) or 90% of the supernatant of Trichoderma or 100 g of the latter’s autoclaved mycelium. The supernatant and the mycelium came from a 6 day old culture of Trichoderma in MM. This supernatant was filtered through sterile CA 0.22 µm membrane filters (Sartorius Stedim Biotech GmbH, Goettingen, Germany). The mycelium was washed twice with a saline solution and autoclaved before being added to the Bacillus culture. The supernatant of Trichoderma was also fractionated through different membranes with molecular weight cut-offs of 50, 30, 10 and 3 kDa (Amicon® Ultra—15, Merck Millipore Ltd., Cork, Ireland). The different fractions were later added separately to the bacterial cultures in MM at a final concentration of 10%. The addition of 90% of the Trichoderma supernatant to the Bacillus culture required the use of a 10× MM in order to maintain the same nutrient concentration in the final culture. All of the cultures were incubated for 48 h at 30 °C and shacked at a rate of 120 rpm.
The
Trichoderma was also cultivated for 24 h in 100 mL of TY in the presence of 50 mg of surfactin, fengycin or iturin. These lipopeptides were kindly provided the team of Prof François Coutte at the University of Lille. They were produced according to the protocol that is described in Desmyttere et al. [
28].
The Trichoderma–Bacillus mutants’ cultures were performed on TY agar plates. A measure of 5 µL of a 2 × 10 5 spores.mL−1 Trichoderma’s solution was precultured on the plate at 30 °C. After 24 h, 2 µL of a 2 × 10 4 cells mL−1 Bacillus solution (either the wild type or the mutants) was dropped from 1 cm away from the center of Trichoderma’s colony. The plates were incubated for 48 h at 30 °C.
2.3. Quantification of Bacillus Growth
The growth rate of the Bacillus bacteria was measured by following the optical density of the culture at 600 nm with a V-1200 spectrophotometer or a microplate reader (SpectraMax M2e, Molecular Devices, Sigma-Aldrich, Saint−Louis, MO, USA). In microplate reader, 96-well plates were used and incubated for 48 h at 30 °C with medium shaking. The cells were also counted by an Accuri C6 flow cytometer (BD Accuri, San Jose, CA, USA) for more accuracy. For all measurements, the coculture samples were filtered through a CA 5 µm membrane (Sartorius Stedim Biotech GmbH, Goettingen, Germany) in order to eliminate fungal mycelia and spores of any diameter up to 5 µm.
2.4. Scanning Electron Microscopy
Samples from the 3 culture conditions (monocultures and coculture) in MM were filtered by vacuum through a Miracloth (Millipore) filter. The filters were washed separately with gradually increasing ethanol concentrations: an overnight bath in 70% ethanol (the ethanol was changed 3 times), followed by two 30 min baths in 90% ethanol and a final bath in 100% ethanol. The samples were later dried by the use of the critical point method wherein ethanol is replaced by carbon dioxide using an Agar Scientific chamber, then sputtered with gold with a JEOL device; JFC-1100E ion sputter, fine coat. Microscopic observations were made using a SEM JEOL at a voltage of 2 kV.
2.5. Analytical Methods
The metabolic state of the bacteria in the MM, in both monoculture and coculture conditions, was monitored by flow cytometry using fluorescent dye. Every 24 h during the course of 6 days, samples were taken and diluted with a phosphate-buffered saline solution (PBS, 137 mM sodium chloride, 10 mM phosphate, 2.7 mM potassium chloride; pH 7.4) so as to reach a concentration that was lower than 2500 events. µL−1 in a 1 mL final volume. Then, 1 µL of RedoxSensor Green reagent (RSG) was added to the sample. The mix was incubated for 10 min in the dark. The measurements were conducted using an Accuri C6 flow cytometer triggering on green fluorescence (FL1 channel) which was set at a threshold FSC-H of 30,000. The flow rate was medium (35 µL.min−1). For each sample, 40,000 cells were assayed in order to generate statistically valid results that were expressed in terms of side scatter (SSC), forward scatter (FSC) and green fluorescence.
A sample of 1.5 mL of the supernatant fraction containing molecules with a molecular mass of less than 3 kDa was dried in a vacuum concentrator (Speedvac, ThermoScientific, Rochester, NY, USA). The pellet was taken up in 100 µL of water/0.1% trifluoroacetic acid and centrifuged for 10 min at 8000× g. Ten microliters of this solution was analyzed by HPLC (ACQUITY UPLC system, Waters Corporation) using a C18-AQ column (150 × 3 mm, 2.6 μm particles, Interchim, Montluçon, France). The elution was carried out with a flow rate of 0.5 mL.min−1 with a gradient that was established with solvents A and B (water + 0.1% (v/v) formic acid and acetonitrile + 0.1% (v/v) formic acid, respectively) as follows: from 1 to 30% of solvent B for 45 min, from 30 to 95% for 5 min and stabilization at 95% for 4 min. Further, the eluate was analyzed by the qTOF Synapt G2-Si™ (Waters Corporation). The molecules were, thus, ionized by electrospray at 150 °C with the capillary and cone voltages set to 3000 and 60 V, respectively, followed by the separation and detection of the m/z ratios of the ionized molecules in a coupled quadrupole analyzer to a time of flight (qTOF). The MS analysis was carried out in positive mode and in a data dependent analysis (DDA) for molecules with an m/z value between 50 Da and 2000 Da, with a scan time of 0.2 s. A maximum of 10 precursor ions were chosen for the MS/MS analysis with an intensity threshold of 10,000. The MS/MS data were collected with a CID fragmentation mode and a scan time of 0.1 s and with specified voltages ranging from 8 to 9 V and from 40 to 90 V for the lower molecular mass ions and for those with a higher molecular mass, respectively. The leucin + enkephalin ([M + H] of 556.632) was injected in the system every 2 min for 0.5 s in order to follow and to correct the measurement error during the analysis. Database searches were performed in the UniProtKB Swiss-Prot/TrEMBL database enclosing 40,820,158 proteins, via PEAKS Studio 10.6 Pro (Bioinformatics Solutions). A mass tolerance of 35 ppm and 3 missing cleavage sites were allowed. Variable methionine oxidations were also considered. The relevance of the protein and peptide identities was judged according to their scores in the research software (p value of 0.05 (p < 0.05), False Discovery Rate < 0.1%).
Lipopeptides were assessed in the cultures’ supernatant and in the mixed biofilm in the case of the coculture. Samples were taken at the end of the cultivation and were filtrated through CA 0.22 µm membrane filters. Biofilms were recovered by centrifugation and they were then soaked in methanol for one hour for metabolite extraction. This methanol was then filtered through PES 0.22 µm membrane filters (Sartorius Stedim Biotech GmbH, Goettingen, Germany). The supernatants were further concentrated 50 times by a vacuum concentrator (Speedvac, ThermoScientific, Rochester, NY, USA).
Ultra performance liquid chromatography was conducted using an Acquity UPLC® BEH C18 column 2.1 × 50 mm with a particle diameter of 1.7 µm (Waters, Milford, MA, USA) at 40 °C. The injection volume was 10 µL and the flow rate was fixed at 0.6 mL.min−1. The elution was performed with an initial 2.4 min gradient from 30 to 95% of solvent B (solvent A: water + 0.1% formic acid, solvent B: acetonitrile + 0.1% formic acid) followed by 2.8 min at 95% of solvent B and a final 1.8 min at 30% of solvent B. The mass of the molecules (ranging from m/z 300.00 to 2048.00) was determined by the use of an Acquity UPLC® Class H SQD mass spectrometer (Waters, Milford, MA, USA) that was set in negative (ESI−) and positive modes (ES+) at a cone voltage of 60 V.
The expression yield of the genes encoding the surfactin synthetase, fengycin synthetase and iturin synthetase was followed by real time quantitative polymerase chain reaction (RT-qPCR). RNA extractions from Bacillus cells in TY monoculture, MM supplemented with 90% of Trichoderma’s supernatant monoculture and coculture in MM were conducted using NucleoSpin® RNA Midi (Macherey-Nagel, Düren, Germany). The samples were collected by a 1 min centrifugation at 10,000× g, following which the cells were kept in 400 µL of RNAlater (Invitrogen, Carlsbad, CA, USA). Throughout sampling, the OD600nm was measured in order to determine the growth phase in the different culture conditions.
Luna® Universal qPCR Master Mix (NEB, Beverly, MA, USA) was used to prepare the reactional mix according to the manufacturer’s instructions. The primers that were used are SrfA forward ‘attgtttacggtggctctgg’ and SrfA reverse ‘cgctgcgatagtcaaaatca’ for the surfactin synthetase gene amplification, ItuC froward ‘caagaagctctcgttacggc’ and ItuC reverse ‘gattgccggtgagatttccc’ for the iturin synthetase gene amplification and FenC forward ‘ctgaatctcttgcgccatgt’ and FenC reverse ‘tgatctgctgtgctccttca’ for the fengycin synthetase gene amplification. The expression yield was standardized according to the reference gene of gyrase for which the forward and reverse primers that were used are, respectively, ‘gagacgcactgaaatcgtga’ and ‘gccgggagacgtttaacata’. The amplification was performed using a StepOnePlusTM Real-Time PCR System thermocycler (Applied Biosystems, Foster City, CA, USA) over 5 cycles: 10 min of reverse transcription at 55 °C, 1 min of initial denaturation at 95 °C, 40 cycles of denaturation (10 s at 95 °C) and extension (30 s at 60 °C) and a final step of 1 min for melting curve generation through a gradient from 60 to 95 °C. The expression yield of the 3 synthetases gens in TY at 24 h was selected as a reference for the data comparison.
2.6. Metabolic Pathway Analysis
The nitrogen metabolism pathway was analyzed by Kyoto Encyclopedia of Genes and Genomes database (KEGG,
https://www.genome.jp/kegg/ accessed on 10 September 2019).
B. velezensis FZB42 and
T. reesei QM6a were selected as the model organisms since the strains that were used in the present study are not present in the database.
2.7. Statistical Analysis
The statistical analyses were performed using RStudio 1.1.423 software (R language version 4.03) (Joseph Allaire, USA). A Student’s paired t test was adopted for comparing 2 values. The groups were considered to be significantly different at a p-value less than 0.05. For multiple comparisons, one-way analysis of variance (ANOVA) and Tukey’s honestly significant difference tests were performed. The groups with different letters were considered significantly different at an α-value that is less than 0.05.
4. Discussion
The coculture of microorganisms has been widely used for its interesting outcomes on different levels, in particular regarding the growth of uncultivable microorganisms in vitro, the expression of silent genes and the stimulation of the production of molecules of interest. Coculture refers to the cultivation of two or more microorganisms in the same medium, solid or liquid. When microorganisms belonging to different species and especially to different taxonomic domains are cocultured, the major challenge is to find culture conditions wherein they are able to grow together. As a matter of fact, it is imperative to ensure the growth of the cocultured microorganisms in order to draw interesting conclusions about the coculture’s outcome, especially on the level of the production of molecules of interest. By far, the growth and coexistence of taxonomically different microorganisms are not systematic, due to their different growth rates, competition for nutrients and the production of antimicrobial metabolites. In these cases, the faster growing or antimicrobial-producer strain suppresses the growth of the other [
31].
A few studies have been carried out on the cocultures of different species of
Bacillus and
Trichoderma. These studies describe the technical aspect of the coculture, its effect on certain traits of the strains by a transcriptional approach, the production of molecules of interest and their biocontrol activity. Competition between the two strains has also been observed, even when a sequential inoculation strategy was adopted in order to guarantee the growth of both of the microorganisms [
21]. It was also proven that the interaction between
T. virens GI006 and
B. velezensis BS006 on solid media varies depending on the composition of the culture medium [
20]. Even though the effect of the supernatant of each microorganism on different growth parameters of the other was studied, the compatibility between these strains in a liquid coculture was not shown.
In this work, we demonstrated that the compatibility between
B. velezensis and
T. harzianum is highly dependent on the nutritional conditions of the culture medium. In fact, the growth of
Trichoderma is inhibited by
B. velezensis in coculture in a medium wherein all of the required nutrients for the development of both of the strains are available. In this condition, these microorganisms are not compatible. We assigned this inhibition to the antifungal lipopeptides that are produced by
B. velezensis GA1, notably those belonging to the family of iturins and, to a lesser extent, to those from the family of fengycins. The greatest inhibition of
T. harzianum was recorded with a
B. velezensis GA1 mutant producing both fengycin and iturin simultaneously, followed by the mutants producing only iturins and fengycins, respectively. The inhibition by these double mutants remained lower compared to that which was caused by the single mutant strains. This indicates the additional activity of fengycin and iturin. Similarly, these two lipopeptides, which are produced by
B. velezensis Y6 and F7, were also selected as the metabolites with the most important antifungal activity against
R. solanacearum and
F. oxysporum [
32]. Fengycins and iturins are known in particular for their antifungal activity related to their amphiphilic structure. This allows them to interact with sterols and phospholipids in the fungal membrane. This action damages the cell membrane by creating pores and makes the cells more permeable and sensitive to other antifungal molecules [
33,
34]. To conclude, the coculture of
T. harzianum and
B. velezensis strains in a rich medium led to a competitive interspecific interaction that did not allow their coexistence, nor affected the lipopeptides’ production.
Hereby, we implemented a different approach in order to fill the gap that was remaining in the
Trichoderma–
Bacillus research field. The compatibility between
T. harzianum and
B. velezensis was studied using a coculture strategy that was based on the creation of a nutritional dependency. The term “nutritional dependency” means that only one species is able to consume an essential substrate. Consequently, the metabolites that are produced by this species will be used by the second species in order to ensure its growth. The latter is then unable to develop in monoculture under the same conditions [
35]. In fact, the acquisition of nutrients is the major reason for the establishment of competition between microorganisms. Especially in growing media wherein resources are limited, microorganisms struggle to acquire their nutritional needs and the one that is more efficient will succeed in invading the other [
36]. In coculture, under conditions where one of the two competitive microorganisms does not have a given element that is essential to its growth and the other microorganism must provide it, the competitive relationship may evolve towards commensalism [
37]. Mutualism can also be observed if the nutritional dependency is bidirectional [
38]. Thereby, the nutrient interdependency can help to reshape the type of microbial interaction [
37]. In other words, two incompatible microorganisms can coexist without competition if the growth of one is dependent on the other for nutritional reasons.
For the purpose of creating a nutritional dependency between
B. velezensis and
T. harzianum, their different metabolic pathways were analyzed by KEGG. A complementary metabolic relationship between them was noticed at the nitrogen metabolism level. Indeed,
B. velezensis seems to be unable to use nitrate or nitrite as its sole source of nitrogen due to the absence of the nitrite reductase encoding gene, unlike
Trichoderma. This enzyme is essential for the conversion of nitrate or nitrite to ammonium for the biosynthesis of nucleic acids and amino acids [
39]. Therefore, the absence of the biosynthetic function enabling
Bacillus to exploit nitrate as nitrogen source, thus preventing its growth in monoculture, would be compensated by its coculture with
Trichoderma.
Hence, a defined medium (MM) comprising nitrate as the sole nitrogen source was selected in order to better tailor the interaction between the microorganisms. The use of this key substrate created a nutritional dependency between the cocultured microorganisms. This was confirmed by analyzing the growth of
B. velezensis GA1 and
T. harzianum IHEM5437 in monocultures and coculture in MM. Compared to the rich medium, the fungus grew at lower levels in this medium. This decrease is explained by the form of the available nitrogen source. Although
Trichoderma can assimilate nitrate, this form is not optimal for its growth [
40]. As for
B. velezensis, the maximal level of biomass that was reached in monoculture in MM was 10
6 times lower than the level that it reached in the TY medium. Its growth was not significant compared to that of the bacterial inoculum. The incapacity of
Bacillus to grow in this medium was compensated by adding another nitrogen source, ammonium, that seems to be easily assimilated by the bacterium. Also,
B. velezensis GA1 successively developed in the MM in the presence of
T. harzianum. In this condition, the bacterial cells remained metabolically active which reflects their viability and their ability to produce metabolites. The
Bacillus cells also showed an ability to attach to the fungal mycelia. This behavior is reported in several studies and seems to depend on several factors such as the viability of the fungus, its stage of growth and the region to be colonized. For instance, the attachment of
B. cereus VA1 was favored on degraded hyphae whereas
B. subtilis grows on the mycelial areas of
Aspergillus niger which are producing more protein [
26,
41]. Thus, the presence of
Trichoderma positively influenced the bacterium in the MM in coculture, compared to in a monoculture. To summarize, this work reports for the first time a
Bacillus–Trichoderma coculture strategy in a liquid medium wherein the microorganisms are compatible in terms of their growth.
This strategy implements a delay between the development of the microorganisms, which is essential for their co-development. Once the
Trichoderma had grown, it produced metabolites that allowed, subsequently, for the growth of the
Bacillus. Furthermore, the development of this bacterium is dependent on the quantity of the supernatant that is added to its monoculture and, subsequently, to the quantity of the molecules of interest that are provided. Interestingly, it was observed that among these molecules of a molecular weight less than 3 kDa one was identified as a peptide which resulted from the hydrolysis of proteins containing amino-oxidase domains. These are believed to be nitrogen sources for the bacterium. In fact,
Trichoderma strains are widely explored for their high potential to produce amino acids and proteins [
42]. These molecules, considered as organic forms of nitrogen, may serve as nutriments for
Bacillus allowing its growth in the presence of nitrate as the sole nitrogen source.
Nevertheless, the coculture of
B. velezensis GA1 with
T. harzianum IHEM5437 in MM engendered an inhibition of the production of the bacterial lipopeptides through the repression of the expression of the respective synthetase genes. Examples in the literature have shown different production profiles of lipopeptides by
Bacillus strains in the presence of other microorganisms with which they have or have not established direct contact. The production was increased in the presence of the molecules that were produced by the pathogenic fungus
Rhizomucor and in coculture with
Pythium and
Fusarium [
43]. On the other hand, the reduction in the synthesis of molecules with antibiotic activity in a coculture is also common and promotes the coexistence of the cocultured microorganisms [
44]. This reduction is generally based on the regulation of the expression of the corresponding genes by the exchanged molecules. For instance, within the framework of the interaction between
B. subtilis and
Aspergillus niger, the expression of the surfactin synthetase operon, as well as the production of this metabolite, were strongly reduced in coculture [
26]. An analogous regulation loop was discerned in
T. atroviride and
B. amyloliquefaciens’ interaction wherein the fungus
Vel1 gene was overexpressed in the presence of
Bacillus, leading to the down-regulation of the expression of the polyketides synthases genes (difficidin and macrolactin) in the bacterium [
45]. Likewise, it is possible that a similar regulation loop is set in the interaction between
T. harzianum IHEM5437 and
B. velezensis GA1. Additionally, this regulation requires the simultaneous presence of both species because adding the fungal supernatant induced the production of lipopeptides in a
Bacillus monoculture in MM. It can be suggested that the inhibition of the production of
B. velezensis’ lipopeptides by
T. harzianum is due to the signals that are exchanged between the microorganisms. These exchanges comprise, from one side, the perception of
Bacillus’ signals by
Trichoderma and, from another side, the production of signals by
Trichoderma regulating the expression of lipopeptide synthetase genes in
Bacillus. Such an interpretation was also observed in the interaction between
B. velezensis S499 and the pathogen
R. variabilis, wherein the perception of some pathogens’ molecules by
Bacillus induced the production of fengycins [
43].