Keywords
Agaricus bisporus ; Mycoparasites, Casing material; Biocontrol; Secondary 21
metabolites, Specialised metabolites, Lipopeptides. 22
Abbreviations: NGS, next generation sequencing ; CD, cobweb disease; DBD, dry bubble 23
disease; WBD, wet bubble disease; PLFA, phospholipid fatty acid. 24
Repositories: Sequence data for this study are deposited in NCBI BioProject collection under 25
BioProject ID PRJNA1142391. 26
Abstract
27
The cultivation of b utton mushroom ( Agaricus bisporus) requires the design of tailor -made 28
substrates that nourish the crop and promote morphology changes from mycelium to 29
basidiome. The agronomic stages of mushroom development are also influenced by the 30
microbiota present in the mushroom crop microcosm, which may have a beneficial impact on 31
mushroom growth, development and quality, or a detrimental impact through reduction of yield 32
or quality as pathogens, competitors or disease vectors in mushroom crops. Bacillus velezensis 33
strains isolated from commercial mushroom casing material have been demonstrated to have 34
antifungal activity against fungal mycoparasites of mushroom crops. In this report we describe 35
the isolation of multiple strains of B. velezensis from mushroom casing material and basidiomes 36
that show antifungal activity towards major mushroom mycoparasites, along with further 37
characterization of their mode of action. Full genomes of B. velezensis CM5, CM19, CM35, 38
EM5 and EM39 were sequenced and annotated , which together with metabolic profiling of 39
specialised metabolites produced by CM5, CM19 and CM35 suggested that antifungal activity 40
of these strains is linked to the production of the lipopeptide fengycin. However, in crop trials, 41
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these strains did not increase mushroom yield or provide significant control of the mushroom 42
pathogen Lecanicillum fungicola. Genomic and analytical tools were designed and used to 43
evaluate B. velezensis persistence in casing when the selected strains were artificially applied. 44
B. velenzensis population levels decrease d significantly after application , potentially 45
contributing to the lack of biocontrol activity observed in crop trials. 46
Introduction
47
The commercial cultivation of the secondary decomposer white button mushroom (Agaricus 48
bisporus) is based on the transformation of agricultural and farming by-products into selective 49
nutritional substrates by means of a 3-phase composting strategy: i) maturation of raw materials 50
through subsequent mesophilic and thermophilic stages; ii) production of a parasite-free 51
substrate through a pasteurization and stabilization stage; iii) induction of A. bisporus 52
mycelium growth in the selective compost (Wang et al., 2021). When the selective substrate is 53
fully colonized by the mycelium it is placed in environmentally controlled growing units and 54
topped with bio-based casing material to provide the physical, chemical and microbiological 55
requirements to induce basidiome fructification(Dias et al., 2021). 56
Microbial parasites are a major issue for crop loss es in the food industry (Fones et al., 2020). 57
The fungal parasites associated with green mould (Trichoderma spp.), wet bubble (Mycogone 58
perniciosa), dry bubble ( Lecanicillium fungicola ), and c obweb ( Cladobotryum spp. ) are 59
responsible for the majority of reported losses caused by pathogenic or competing fungi within 60
the mushroom industry (Gea et al., 2021). It is worth mentioning the difficulty of breeding for 61
resistance in Agaricus bisporus , which lies in the typical life cycle of this fungus , which 62
hampers the introduction of traits without considerable linkage drag (Sonnenberg et al., 2017). 63
Therefore, to fight such harmful fungal mycoparasites, selective a gricultural fungicides have 64
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historically been used in mushroom farms, including chlorothalonil, carbendazim, metrafenone 65
or prochloraz-Mn (Kosanović et al., 2013; Commission E., 2019). However, these fungicides 66
are now either prohibited, or are no longer effective due to resistance outbreaks, necessitating 67
the development of alternative approaches for disease control. Together with efficient hygiene, 68
biocontrol is a potential strategy to replace chemical pesticides as part of integrated disease 69
management programmes (Gea et al., 2021). 70
There are multiple mechanisms of biocontrol described depending on the agent employed , 71
including: antagonism though production of lytic enzymes, antimicrobial peptides , 72
antimicrobial volatile organic compounds (VOCs) or other antibiotics ; spatial and nutritional 73
competition; stimulation of mushroom growth through mycohormone production ; and 74
enhanced nutrient uptake to improve the fungal immune system (Zhang and Sun, 2018 ; 75
Carrasco and Preston, 2020). 76
B. velezensis is a bacterial species that includes several relatively well -studied strains with 77
biocontrol activity. These are reported to produce antimicrobial metabolites that are able to 78
control both bacteria and fungi (Rabbee et al. , 2023; Kenfaoui et al. , 2024 ). Examples of 79
antimicrobial metabolites produced by B. velezensis include bacillaene, bacillibactin, bacilysin, 80
difficidin, fengycin, macrol actin H and subtilin (Pandin et al., 2018). Of these, fengycin - a 81
lipopeptide with strong antifungal activity - is of particular interest in attaining control over 82
fungal parasites of mushrooms. Fengycin (also known as plipastatin) is synthesized by a non-83
ribosomal peptide synthetase (NRPS) complex encoded by a large gene cluster known as the 84
fen operon (pps in B. subtilis ). This operon encodes five enzymes, each responsible for 85
recognizing and incorporating specific amino acids during the process of building the final 86
fengycin peptide (Zihalirwa Kulimushi et al., 2017; Desmyttere et al., 2019; Gao et al., 2019). 87
Fengycin is known to disrupt fungal cell membranes by interacting with sterols, leading to 88
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increased membrane permeability and cell death (Mantil et al., 2019). Fengycin, and biocontrol 89
agents which produce fengycin, have been shown to be active against many fungal parasites of 90
mushroom crops including Trichoderma aggressivum (Pandin et al., 2019; Kosanović et al., 91
2021), Cladobotryum mycophilum (Clarke et al., 2022a; Clarke et al., 2024), Lecanicillium 92
fungicola (Clarke et al., 2022) and Mycogone perniciosa (Novikova and Titova, 2023). 93
There are multiple classes of f engycin broadly classified into two main classes. These are 94
categorised using the amino acid present at the sixth position of the protein chain, with fengycin 95
A containing alanine, and fengycin B containing valine (Steller et al., 1999). Further classes of 96
fengycins produced by Bacillus strains have also been described (Yin et al., 2024), including 97
for instance fengycin S and fengycin C produced by Bacillus amyloliquefaciens LSC04 and 98
Bacillus subtilis EA-CB0015, respectively (Lee et al., 2010; Villegas-Escobar et al., 2013). In 99
B. amyloliquefaciens the production of these lipopeptide analogues has been shown to be 100
subject to positive regulation by the quorum sensing system encoded by the comQXPA gene 101
cluster (Yin et al., 2024). The ComQXPA system is not unique to B. amyloliquefaciens or B. 102
subtilis (Kalamara et al., 2018), since it has also been described to regulate protease activity of 103
B. velezensis DMB05 (Na et al., 2023). 104
In this study, we isolated several novel B. velezensis strains from casing materials and 105
basidiomes that displayed antifungal activity to multiple mycoparasitic fungi. We characterise 106
these novel strains using phylogenetics and comparative genomics . We test three novel B. 107
velezensis strains for antimicrobial activity in crop via artificial inoculation on the casing 108
medium. In addition, both the survival rate of supplemented B. velezensis, and the equilibrium 109
of the endemic microbiota in this crop trial are assessed. Finally, we use LC -HRMS analysis 110
to identify and evaluate the secreted specialised metabolites of these B. velezensis strains that 111
correlate with their antifungal activity. 112
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Methods
113
Isolation of the cultivable bacterial microbiome 114
Cultivable bacteria were obtained from three casing materials used by the mushroom industry 115
in commercial crops (commercially available casing materials cquired from local providers : 116
black peat, based on peat moss (Euroveen B.V., BVB Substrates, Grubbenvorst, Limburg, The 117
Netherlands); blonde peat, based on Spaghnum peat moss (Valimex KF, Valimex SL, Valencia, 118
Spain); and a mixture of both casing materials (50 % each) (Euroveen B.V. and Valimex KF), 119
the physical and chemical characteristics of which have been previously reported (Carrasco et 120
al., 2019). The methodology described by Aslani et al. (Aslani et al., 2018) was implemented 121
to isolate bacteria from basidiomes of Agaricus bisporus. 122
Microbiome c ultivation: i) for isolation of casing -colonising bacteria, 10 g of casing was 123
suspended in 100 mL of 0.1% sterile bacteriological peptone broth (Thermo Scientific 124
#LP0037B); ii) for isolation of basidiome-colonising bacteria, fresh and healthy closed 125
mushroom caps were externally disinfected by submerging them in 1% NaClO solution for 30 126
s and rinsing with sterile distilled water. 10 g of internal mushroom cap tissue was crushed and 127
homogenized with sterile pestle and mortar and suspended in 100 mL of 0.1% sterile 128
bacteriological peptone broth. Samples, either i) or ii) were added to Erlenmeyer flasks and 129
incubated in an orbital shaker-incubator (Ovan 1000001087, Badalona, Spain) at 120 rpm and 130
25 ºC for 10 min. The supernatant was transferred to a microtiter plate where successive 10 -131
fold dilutions (0.1% sterile bacteriological peptone broth ) were disp ensed. 100 μL of each 132
solution was transferred and homogeneously spread on growth media in 90 mm Petri dishes. 133
Media recipes employed in this work are described in Table S1. 134
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Isolation and preservation of individual colonies: Exploring maximum diversity, one hundred 135
and forty-one individual colonies (Table S2) were re-isolated from plates based on colonial 136
morphology and transferred to plates containing LB Agar (LBA) medium. The re -isolated 137
colonies were incubated at 28 °C for 24-48 h. Single colonies were then added again to LB and 138
incubated in Erlenmeyer flasks between 25 and 28 °C in an orbital shaker at 150 rpm between 139
5 and 18 hours. The colony multiplication ratio was determined by spectrophotometer (Thermo 140
Fisher Scientific - Genesys 10-S) of the optical density in the culture broth at a wavelength of 141
600 nm (OD600). The fermentation was stopped when the absorbance at OD600 reached a 142
value of 1. The resulting cultures were re-suspended in 20% glycerol solution in sterile 2 mL 143
Eppendorf tubes. Finally, the tubes were stored at -80ºC (Panasonic MDF-U5386S-PE) until 144
further use. 145
Genomic extraction and sequencing 146
DNA extraction and Sanger sequencing of 16S rDNA: Single colonies were transferred to 10 147
mL LB at and incubated at 28 ºC on a platform shaker at 220 rpm for 24 h. The resulting 148
cultures were pelleted by centrifugation at 13,000 rpm for 1 min, and washed twice using 149
MilliQ water before aliquoting into 1.5 mL Eppendorf tubes. DNA was extracted from pellets 150
using the NucleoSpin Plant II, Mini kit for DNA from plants (MACHEREY -NAGEL GmbH 151
& Co. KG). The 27F and 1492R primers (Stackebrandt and Goodfellow, 1991) were used for 152
PCR amplification of 16S rDNA, which was performed using Phusion High -Fidelity PCR 153
Master Mix (Thermo Fisher, UK) , with an initial denaturation of 98 °C for 30 s, followed by 154
30 cycles of 7 s at 98ºC, 30 s at 56 ºC, and 60 s at 72 ºC. A final extension of 7 min was used 155
before storage at 4 ºC. PCR products were prepared for sequencing by treatment with ExoSAP-156
IT™ PCR Product Cleanup Reagent (Thermo Fisher, UK) and submitted to either Eurofins 157
(Luxembourg) or Source Bioscience (Nottingham, UK) for Sanger sequencing. Sequences 158
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obtained using forward and reverse primers were aligned using MAFFT online 159
(https://mafft.cbrc.jp/alignment/server/). BLASTn searches were carried out using the NCBI 160
database (Camacho et al., 2009). 161
Full genome sequencing and analysis: The full genomes of Bacillus velezensis CM5, CM19, 162
CM35, EM5 and EM39 were sequenced and annotated. Four 10 mL bacterial overnight cultures 163
(LB) were combined, washed tw ice in PBS and diluted to OD600 = 1, before aliquoting and 164
pelleting 10 mL and re-suspending in 0.5 mL of DNA shield (Zymo Research , Leyden, NL). 165
Genome sequencing of the three strains was carried out by Microbes NG, Birmingham, UK. 166
The downstream processing of sequence data was accomplished using several bioinformatics 167
tools: Reads were adapter trimmed using Trimmomatic 0.30 with a sliding window quality 168
cutoff of Q15 (Bolger et al., 2014). De novo assembly was performed on samples using SPAdes 169
version 3.7 (Bankevich et al., 2012), and contigs were annotated using Prokka 1.11 (Seemann, 170
2014). The Artemis genome browser was used for visualization and annotation (Rutherford et 171
al., 2000). Assembly metrics were calculated by Quast (Gurevich et al., 2013). A standard 172
analysis pipeline assigned reads to the closest available reference genome using Kraken (Wood 173
and Salzberg, 2014). The RAST annotation server and the SEED annotation environment were 174
used to annotate the prokaryotic genome (Aziz et al. , 2008; Aziz et al. , 2012 ). Further 175
comparative genomics of novel B. velezensis strains was carried out using the NCBI 176
Prokaryotic Genomes Automatic Annotation Pipeline (PGAAP) (Tatusova et al., 2016). 177
The complete genome sequences of the B. velezensis strains reported in this paper have been 178
deposited in NCBI under the BioProject PRJNA1142391 with the genome accession numbers 179
CP168150 (CM19), CP168028 (CM5), CP168027 (CM35), CP168026 (EM5), CP168025 180
(EM39). To identify all genes containing single nucleotide polymorphisms (SNPs) in our novel 181
strains compared to the QST713 reference strain (Accession CP025079), we performed 182
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comparative analyses using various computational tools and packages in R and Python. The 183
analysis workflow involved using BLASTn to detect differences in all genes present in the 184
QST713 reference genome. Genes with identified mismatches were then translated into their 185
corresponding amino acid sequences using the translate method from Biopython. These 186
translated sequences were subsequently compared using the BLASTp function to identify 187
amino acid substitutions. Coding sequences (CDS) with observed mismatches were further 188
analysed to ensure meaningful comparisons of functional protein-coding regions. BLAST Ring 189
Image Generator (BRIG) was employed for prokaryote genome comparisons (Alikhan et al., 190
2011). The potential specialised metabolite profiles of the sequenced strains was evaluated by 191
antiSMASH (Blin et al., 2021). 192
Phylogenetic analysis of B. velezensis strains: Phylogenetic analyses were performed using 193
five housekeeping genes: gyrB, pgk, rpoB, rpoD, and tuf. Genomes of comparative strains were 194
downloaded from NCBI and blasted against the annotated genes of the reference strain B. 195
velezensis FZB42. For our isolated strains of interest (CM5, CM19, CM35, CM18, CM20, 196
CM21), DNA extractions were carried out using the NucleoSpin Plant II, Mini kit for DNA 197
from plants (MACHEREY-NAGEL GmbH & Co. KG). Genes of interest were amplified by 198
PCR, carried out using Phusion® High -Fidelity DNA Polymerase master mix (NEB, Herts, 199
UK) and the primers listed in Table S4. PCR products were treated with Exo SAP as per the 200
manufacturer’s instructions and submitted to Source Bioscience (UK) for Sanger sequencing. 201
Both FWD and RVS primers were used for sequencing reactions. Concatenated sequences were 202
used to build a phylogeny using Multiple Sequence Comparison by Log -Expectation 203
(MUSCLE) (Edgar, 2004). The phylogenetic tree was built using IQTREE (Nguyen et al. , 204
2015) using 1000 bootstrap replicates and set to automatically detect the optimal number of 205
threads. The resulting tree was visualised using iTOL (Letunic and Bork, 2021). 206
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Transformation of B. velezensis CM19 with pHAPII gfp+ 207
The plasmid pHAPII gfp+ (Cao et al., 2011) was extracted from a transformed strain of B. 208
velezensis QST713 (kindly provided by Romain Briandet, INRAE) using the NucleoSpin 209
Plasmid DNA extraction kit (Macherey -Nagel) using standard conditions. Subsequently, B. 210
velezensis CM19 cells were transformed using a room temperature electroporation protocol 211
(Morales-Ruiz et al., 2019). In brief, competent cells were made by washing and suspending a 212
stationary phase culture of CM19 in phosphate buffered sucrose electroporation buffer (PEB: 213
272 mM sucrose, 1 mM MgCl 2·6H2O, 7 mM phosphate buffer, pH 7.4). Electroporation was 214
carried out in a 1 mm cuvette containing 400 ng plasmid and 90 μl of bacterial cells using a 215
single electric pulse at 620V, 200R and 25 μF. Cells were immediately resuspended in SOC 216
medium and incubated at 37 ºC without shaking for 4 h. After plating, a single transformed 217
colony was present after 24 h incubation at 28 ºC. Validation was carried out by plasmid 218
extraction (Macherey-Nagel™ NucleoSpin™ Plasmid) and submission for sequencing with 219
Plasmidsaurus (www.plasmidsaurus.com). 220
In vitro fungal inhibition assays 221
In vitro con frontation trials: Four fungal parasites were used for biocontrol assays: 222
Trichoderma aggressivum (TAV1), Mycogone perniciosa (M25) and Cladobotryum 223
mycophilum (CM13900) isolated from commercial mushroom crops in La Rioja (Spain) ; and 224
Lecanicillium fungicola (150/1), a UK isolate of medium virulence obtained from Warwick 225
HRI, UK (Banks et al., 2019). All were stored as 2 5% glycerol stocks at -80 ºC. Before use, 226
fungi were plated onto PDA (potato dextrose agar) and grown for 3-7 days before scraping and 227
re-suspending in 30 mL MilliQ water in a 50 mL Falcon tube. Bacteria, also stored as 2 5% 228
glycerol stocks, were grown as overnight cultures in LB before use. For initial qualitative 229
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biocontrol assessments, 10 µL of the fungal suspension was spotted on the centre of a PDA 230
plate. Four different 10 µL bacterial droplets from LB overnight cultures were spotted at a 231
distance of 20 mm from the fungal droplet. Plates were incubated in the dark at 25 ºC for 2 to 232
9 days depending on the parasite. Bacterial strains were scored as positively controlling fungal 233
parasites if a clear zone of clearing (halo) was observed around the bacterial colony. Each 234
bacterial strain was assessed at least twice. Since B. velezensis displayed biocontrol activity 235
against the four fungal parasites, further quantitative biocontrol plates were carried out using 236
just a single bacterial strain per plate. For this, 10 µL of the fungal cultures were co-inoculated 237
with bacterial droplets (at a distance of 30 m m) for between 1 and 6 days (depending on the 238
parasite). Plates were again incubated in the dark at 25 ºC for between 4 and 13 days. 239
Quantitative assessments were made by measuring zones of clearing. Each bacterial strain was 240
assessed in duplicate for at least two repeat experiments for each fungal parasite. 241
Spore germination assays Fully colonised PDA plates of the four fungal parasites were scraped 242
and resuspended in water through 8 layers of Miracloth. Using a haemocytometer, spore counts 243
were diluted to a concentration between 1 * 107 and 1 * 108 spores mL-1. A 100 µL aliquot was 244
spread over a PDA plate and allowed to dry for 20 min. Subsequently, a 10 µL droplet of an 245
overnight, stationary culture of B. velezensis CM19 pHAPII gfp (in LB) was spotted onto the 246
centre of the PDA plate and allowed to dry. After 1 -4 days of incubation at 28ºC, sections of 247
the agar plate around the bacterial droplet and halo of inhibition were cut and mounted on to a 248
microscope slide and covered with a cover slip. Fungal s amples were stained for cell death 249
using a droplet of propidium iodide (PI, Thermo Fisher, R37108) at a final concentration of 1 250
μL mL-1 and assessed using a Leica TCS SP5 confocal microscope. Samples were scanned at 251
400 Hz (512 × 512 pixel images) using an argon laser with emission at 488 nm (intensity, 17%) 252
to excite GFP (detected at 510 -530 nm) alongside a DPSS 561 nm laser (intensity, 35%) to 253
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excite propidium iodide (detected at 625 -645 nm). Unchallenged fungal parasites (without B. 254
velezensis confrontation) grown in vitro on PDA plates, stained for cell death as described were 255
assessed as control. 256
Effect of isolated bacteria on A. bisporus mycelium growth: A. bisporus was plated onto 2% 257
agar compost medium (70 g of powdered compost suspended in 1 L of water, autoclaved, then 258
filtered through Miracloth, and autoclaved again) and incubated in the dark for 7 days. 10 µL 259
droplets of bacteria from LB overnight cultures were spotted onto the plates at a distance of 3 260
cm from the original plating position of A. bisporus. Plates were divided into quadrants, and 261
four droplets were dispensed per plate (one per quadrant) with A. bisporus H15 inoculated in 262
the centre. After a further 7 days, photographs were taken and the radius of the distance between 263
the centre of the bacterial droplet and the edge of the fungal radial growth was measured. 264
Controls consisted of four droplets of LB broth free of bacteria per plate. 265
Toxicity of bacteria to A. bisporus sporocarp tissue: For assessment of sporocarp tissue 266
damage, 10 mm cubes of mushroom tissue were cut from mushroom caps. Bacteria from 267
overnight LB cultures were pipetted onto mushroom cubes at a rate of 100 µL per cube. Cubes 268
were photographed and assessed for browning using a 0-4 scale where: 0 was no effect; 1 light 269
tissue scarring; 2 light browning; 3 heavy browning; and 4 being either black or dark brown 270
with obvious seepage. Control treatments consisted of mushroom cubes treated with sterile LB 271
broth at a rate of 100 µL per cube. 272
Biocontrol activity of B. velezensis in a crop trial infected with L. fungicola 273
Bacterial inoculum preparation: Bacteria were grown overnight in LB broth . Cultures with 274
OD600 > 0.7 were used to inoculate a bioreactor to produce bacterial batches through liquid 275
fermentation. A 5L Biostat A fermenter (Sartorius, Germany) was then used to culture large 276
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bacterial batches (T = 28 ºC, pH = 7, critical oxygen concentration = 10-50% of air saturation, 277
time: 7-8 h to an OD600 = 1). The resulting broth was centrifuged at 4500 rpm for 10 min at 278
10ºC (Sorvall Legend XTR Centrifuge, Thermo Scientific, Waltham, MA, USA ). The 279
supernatant was removed and the pellet washed twice with PBS (phosphate buffer, pH = 7.4) 280
before resuspension in 100 mL of 10% skim milk and 10% saccharose solution as a 281
cryoprotector. The frozen solution was freeze-dried and pulverized into ready to use water 282
soluble powder. The viable concentrations were confirmed by plating serial dilutions in sterile 283
water onto LB. 284
Crop Trial: The crop trial was conducted in an experimental growth chamber equipped with 285
climate control (Mod. IGCS 1500 HR LED, Ibercex, Spain) according to standard practices 286
used in mushroom farms. The trial was performed with a randomized block design using 32 287
blocks (0.04 m2 crop surface) of 1250 g phase III compost (Sylvan H15 - supplemented with 288
Mylo Pro and Champfood) and 750 g of black casing (CNC, Valimex or Euroveen) at 289
maximum water holding capacity. The six treatment groups are shown in Table 1 (1: Control 290
(water) + L. fungicola (Lf); 2: Control (water) – Lf; 3: CM5 + Lf; 4: CM19 + Lf; 5: CM35 + 291
Lf;6: Prochloraz -Mn (PCL) + Lf ). Treatment with prochloraz-Mn ( PCL), as a fungicide 292
control, was carried out on day 4 after casing (d4), inoculation of bacteria was carried out on 293
d5, infection with Lf strain 150/1 (Banks et al., 2019) was carried out on d10. L. fungicola 294
inoculum was prepared as described by Gea et al. (Gea et al., 2014) on the day of inoculation 295
and applied by spraying the top of the casing layer at a dose of 106 conidia m -2 using a 296
suspension of 20 mL of 2 × 106 conidia L-1. Bacterial suspensions were applied on top of the 297
casing layer using 20 mL of a 2 × 109 cfu L-1 suspension in tap water for a final rate of 109 cfu 298
m-2. 299
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For analysis of disease and biological efficiency, healthy and diseased mushrooms and bubbles 300
were scored at the end of the first and second crop flushes. For PLFA analysis in the casing 301
materials, four timepoints were assessed: d0 (Beginning of trial), day 10 (Fully colonized 302
casing), d21 (Fructification of first flush), and d29 (End of first flush). 1: Raw casing material 303
(beginning of the trial, casing free of host), 2: Casing fully colonised by Agaricus mycelium 304
(end of spawn running, day 10), 3: Casing during mushroom fructification (fructification of 1st 305
flush, day 21); 4: Casing sample taken by the end of 1st flush (end of the harvest, day 29). 306
Analysis of PLFAs: Casing microbial biomass and structure were determined using 307
phospholipid fatty acid (PLFA) analysis (Frostegård et al., 1993) and fatty acid methyl esters 308
(FAMEs) were analysed by gas chromatography. The total microbial biomass was estimated 309
by the total sum of PLFAs and expressed as nmol g−1. Specific PLFAs were used as biomarkers 310
to quantify the relative abundance of Gram-negative bacteria (monounsaturated fatty acids and 311
cyclopropyl 17:0) , Gram-positive bacteria (iso and anteiso saturated branched chain fatty 312
acids), Actinobacteria (10 -methyl fatty acids) and fungi (18:2 ω6 cis and 16:1w5) (Zelles, 313
1999). Statistical Analysis: Total biomass of bacteria and fungi determined by PLFAs was 314
submitted for the analysis of variance (ANOVA) by previous Levene variance homogeneity 315
tests to determine significant differences between samples. Means were compared by either 316
Tukey or Games -Howell post hoc test based on whether variance of homogeneity was met, 317
respectively (p < 0.05). ANOVA and post hoc tests were performed by IBM SPSS Statistics 318
v24 software package (SPSS Inc. Chicago, USA). Principal component analysis (PCA) was 319
performed with PAST v3.15 software (Hammer et al., 2011). 320
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TaqMan assays for B. velezensis strains (CM19, CM5 and CM35) 321
DNA extraction: Bacteria were collected with a loop from the agar surface of 90 mm diameter 322
tryptic soy agar ( TSA) plates into a 2 mL tube and used for DNA extraction. The Wizard 323
Genomic DNA purification kit (Promega) was used for DNA extraction . DNA yield was 324
determined by using the Qubit ds DNA HS assay kit with the Qubit Fluorometer (Life 325
Technologies). 326
TaqMan design: To design a TaqMan assay that specifically detects the B. velezensis target 327
strains, we made use of the whole chromosomal genome sequence. Potential target sites were 328
identified using CLC genomic workbench (Qiagen, Aarhus, DK) . The genome sequences of 329
the target were dissected in 500 bp -long sequences. These sequences were mapped to 330
sequences of B. velezensis QST713 (CFSAN0334339), a non-target strain isolated from 331
agricultural soil (Pandin et al., 2018) (CLC mapping settings: length fraction: 0.85, similarity 332
fraction: 0.85, global alignment: no), thus removing sequences that mapped to any of the non-333
target strains. To assist the final selection and design step, these (unmapped) sequences were 334
added as a track list to the target strain genome. 335
Before proceeding to the design step, the candidate regions were checked for sequence 336
similarity with non-target organisms using BLASTn (NCBI) (Camacho et al., 2009). At least 337
six sets of primer/probe combinations were designed per target on 500 bp target -specific 338
fragments using primer quest tool of Integrated DNA Technologies (IDT, Leuven, Belgium) 339
with default settings. Two sets of primer/probe combinations were selected for the design of 340
the final triplex TaqMan assay, targeting different genes, based on the kinetics. 341
Specificity of the TaqMan assays: The specificity of the assays was tested using genomic 342
DNA of 27 strains (Table S6). For most strains 0.5 ng of purified DNA was used, but for some 343
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strains a suspension of 109- 1010 cells/mL was boiled for 10 min in 150 µL MilliQ water (MQ) 344
prior to testing. For each TaqMan assay 2 µL of DNA or the boiled suspensions was mixed 345
with 2 µL reaction mix containing PerfeCTa multiplex qPCR ToughMix 5x (Quantabio, 346
Beverly, USA), 100 nM probe and 300 nM of each forward and reverse primer. The reactions 347
were performed in a 12K Flex QuantStudio or a QuantStudio 5 Real -Time PCR system 348
(Applied biosystems) using the following conditions: 95 °C for 2 min; 40 cycles of 95 °C for 349
15 s followed by 60 °C for 60 s. Analysis of the data was done by automatic threshold 350
calculation within the Applied Biosystems software. A Ct value ≤ 35 was considered positive. 351
The specificity and usability were further tested using constituents of casing soils or casing 352
soils of various compositions. DNA was extracted from 10 g of material using the DNeasy 353
PowerMax Soil kit (Qiagen, Germany) according to the manufacturer’s protocol. TaqMan 354
assays were performed as described above with 2 µL DNA. 355
Triplex TaqMan design: The two simplex assays for the target bacteria were combined with 356
an assay that quantifies Xanthomonas campestris pv. campestris (Xcc) into a triplex TaqMan 357
(Table S7) (Köhl et al., 2011; Taparia et al., 2020). For each group of biostimulants, a triplex 358
TaqMan assay was designed with two target -specific assays, each with its own dye (Cy5 or 359
FAM) and an amplification and extraction control ( X. campestris), labelled with HEX. The 360
triplex TaqMan was performed using the same PCR conditions and materials as the simplex 361
tests, with 100 nM probe and 300 nM of each primer in a total volume of 25 µL. 362
Limit of detection of the assays: The limit of detection for the triplex assays designed for B. 363
velezensis strains CM19, CM5 and CM35 (Table S12-S15) was determined in two casing soils, 364
i.e. in peat and steamed spent casing soil. 100 µL of a ten -fold serial dilution of 3 -days old 365
cultures of the strains in Ringers in a PowerBead Pro tube was mixed with 250 mg of the 366
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casings (4 × 107 – 4 × 101 cells g-1 of casing soil). Casing soils with 100 µL Ringers without 367
supplemented bacteria served as a control. A volume of 100 µL of a suspension of X. 368
campestris (Xcc) of 10 6 cell mL-1 was added to each sample as extraction and amplification 369
control. The soils were subsequently freeze dried overnight and shaken for 2 times 90 seconds 370
in a paint shaker. DNA was extracted using a DNeasy Power Soil Pro Kit according to the 371
manufacturer’s instructions. The triplex TaqMan assay was executed as described above with 372
0.75 µL of each primer (10 µM) and 0.75 µL of each probe (10 µM), labelled with FAM, Cy5 373
(for target specific probes) or HEX (for Xcc). 374
Surfactant activity and lipopeptide production 375
Surfactant production: B. velezensis strains were cultured overnight in Optimised Medium 376
(OM, Table S1) and standardised to OD600 = 1. Droplets (10 µL) were pipetted onto the lid of 377
a Greiner CELLSTAR® 96 well plate, allowed to sit for 2 min, and measured using an eye 378
piece graticule on a ZEISS dissecting microscope. The mean droplet diameters of three 379
independent experiments, each containing 2 droplets, were assessed for differences to an OM 380
only control using Students’ T-Test. 381
Lipopeptide fraction collection: Lipopeptides were extracted from 600 mL liquid cultures of 382
CM19, which were incubated at 30 ºC for 24 h in Optimized Medium ( Table S1). Samples 383
were centrifuged at 10,000 g for 10 min to remove the cell pellet. The resulting solution was 384
acidified by addition of concentrated HCl to pH 2.0 and precipitated overnight at 4 °C. The 385
solution was again centrifuged at 10,000 g for 15 min at 4 °C. The pellet was resuspended in 386
10 mL methanol while shaking for 2 h continuously. The resulting solution was filtered through 387
a 0.4 µm filter and concentrated by evaporation to a final volume of 1 mL methanol. The 388
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methanol suspension was then used for the confrontation assays by saturating the discs by 389
briefly incubating them in the solution. 390
Extraction of agar plates for targeted metabolic profiling : The B. velezensis strains CM5, 391
CM19 and CM35 were cultivated on L B agar plates for 5 days at 28 º C. For each strain, five 392
agar plates were extracted and pooled. Firstly, bacterial agar plates and negative control plates 393
(unseeded LB agar plates) were crushed and suspended in 20 mL HPLC-grade MeOH (J. T. 394
Baker, Deventer, The Netherlands). The mixture was transferred to a beaker, 30 mL of fresh 395
MeOH was added (total volume 50 mL) and further processed in an ultrasonic bath (Sonorex 396
Longlife, Bandelin, Berlin, Germany). After 10 minutes, the mixture was filtered and the wash 397
repeated. The filtrate was concentrated to dryness under reduced pressure at 35 °C in a rotary 398
evaporator (Laborota 4001 Efficient, Heidolph, Schwabach, Germany) operating at 100 rpm. 399
The residue obtained was dissolved in 1 mL HPLC-grade MeOH, centrifuged at 8000 rpm for 400
5 min, and measured by HPLC-HRMS. 401
High-performance liquid chromatography -high resolution mass spectrometry (HPLC -402
HRMS): The extracts were analysed on a LTQ Orbitrap XL mass spectrometer (Thermo 403
Scientific, USA) equipped with a HESI-II source coupled to Agilent (Santa Clara, USA) 1200 404
HPLC system including pump, PDA detector, column oven and autosampler. A Luna C 18 (2) 405
column (50 × 3 mm, 3 μm particle size) from Phenomenex (Torrance, USA) was used for the 406
HPLC-HRMS and an Aeris PEPTIDE XB-C18 (150 × 2.1 mm, 3.6 µm particle size) for HRMSn 407
measurements with a H 2O (+0.1% FA) (A) and CH 3OH (+0.1% FA) (B) gradient (flow rate 408
350 μL min-1). The gradient program was optimized and set as follows: 5% B isocratic for 2 409
min, linear gradient from 5% to 100% B over 24 min, 100% B isocratic for 6 min, the system 410
returned within 0.5 min to initial conditions of 95% A and was equilibrated for 3 min. For 411
selected target fengycins and their HRMSn measurements, the gradient was slightly modified: 412
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5% B isocratic for 2 min, linear gradient from 5% to 90% B over 8 min and then over 20 min 413
up to 100%, the system returned within 0.5 min to initial conditions of 95% A and was 414
equilibrated for 3 min. The mass spectrometer w as operated in positive mode with a nominal 415
mass resolving power of 60000 at m/z 400 with a scan rate of 1 Hz, and N-butyl 416
benzenesulfonamide was used as lock mass ([M + H] + ; m/z 214.08963 for full scans and a 417
mass range from m/z 160-1600. Helium served as collision gas and N2 was used as sheath and 418
auxiliary gas. The HRMSn measurements were performed with collision-induced dissociation 419
of 42 eV. An authentic reference standard of fengycin (≥ 90%) was procured from Sigma -420
Aldrich (Steinheim, Germany). The analyses were performed using Xcalibur software v. 2.2 421
SP1.48. (Thermo Scientific, Bremen, Germany). The acquired masses were sorted by intensity 422
(I > 1.00E3). A maximum mass tolerance of 2 ppm was accepted. Background subtraction was 423
performed as required using Xcalibur software v. 2.2 SP1.48. (Thermo Scientific, Bremen, 424
Germany). 425
Results
426
Bacillus velezensis strains isolated from mushroom casing microbiome display 427
antimicrobial activity towards mushroom mycoparasites. 428
One hundred and forty-one strains belonging to t he cultivable bacterial microbiome from the 429
peat casing layer and basidiomes of Agaricus bisporus were isolated and classified using 430
BLASTn (blast.ncbi.nlm.nih.gov) based on their 16 S rDNA sequences (Table S2 ). A wide 431
range of bacterial species were isolated of which Bacillus spp. and Pseudomonas spp. were 432
most highly represented ( Figure 1A). Initial a ntifungal confrontation assays (Table S3) 433
indicated that strains belonging to the species B. velezensis showed a particularly high degree 434
of antagonism towards four major fungal parasites of A. bisporus: Trichoderma aggressivum, 435
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Mycogone perniciosa, Lecanicillium fungicola, and Cladobotryum mycophilum - these strains 436
were selected for further phenotypic analysis (Figure 1B and Table 2). 437
Nine strains of B. velezensis , and a control strain CM26 (BLASTn 98.47% Bacillus 438
oceanisediminis) which failed to show antagonistic activity in initial assays , were tested for 439
antifungal activity against four fungal parasites of the cultivated button mushroom Agaricus 440
bisporus in confrontation assays: L. fungicola (150/1); T. aggressivum (TAV1); M. perniciosa 441
(M25); and C. mycophilum (CM13900). All of the B. velezensis strains tested produced 442
statistically significant levels of inhibition with only CM26 showing significantly different 443
inhibition (Figure 2A, 4B; ONE WAY ANOVA, C. mycophilum p < 0.001, L. fungicola p < 444
0.001, M. perniciosa p = 0.139, T. aggressivum p < 0.001. Letters are results of post -hoc 445
TUKEY test showing significant differences p < 0.05). 446
B. velezensis CM19 was selected as a representative strain and transformed with the plasmid 447
pHAPII gfp. Transformed bacteria were confirmed to express GFP and used to examine the 448
effect of CM19 on conidial and hyphal viability and morphology in vitro (Pandin et al., 2017). 449
Live dead staining with propidium iodide (PI) w as used to study the effect of CM19 on spore 450
survival and germination (Figure 2C, D, E). Spores were classified as dead if either fully stained 451
with PI or observed to be hollow/lysed cells. In many cases spores were deemed to have 452
germinated but resulting hyphae were also found to be stained or lysed. 453
For a strain to be an effective biocontrol agent against mycoparasitic fungi it is important that 454
strains are not only antagonistic to mycoparasites, but also show low toxicity to hyphae and 455
sporocarps of A. bisporus. Strains were tested for antagonism to A. bisporus in both 456
confrontation assays and in mushroom cube assays, where cubes of sporocarp tissue were 457
exposed to dense suspensions of bacteria, a standard assay for mushroom pathogenic bacteria 458
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such as Pseudomonas tolaasii, which was used as a positive control (Godfrey et al., 2001). The 459
majority of the selected strains exhibited limited antagonism to A. bisporus and did not cause 460
significant browning and collapse of sporocarp tissue , making them promising candidates as 461
biocontrol agents (Figure 2F and Figure S1). 462
Mushroom c asing isolates of Bacillus velezensis are closely related to the commercial 463
biocontrol strain B. velezensis QST713 464
Further phylogenetic analysis was carried out for five B. velezensis strains isolated from casing 465
alongside the commercially used ‘Serenade’ B. velezensis strain QST713 using primers for the 466
housekeeping genes rpoB, tuf, rpoD, pgk and gyrB (Table S4 ). The nucleotide sequences 467
obtained were used to build a phylogenetic tree of the isolated B. velezensis strains alongside 468
other Bacillus spp. for which sequence data is available in the NCBI database. The results 469
showed a clear delineation into three clades: B. amyloliquefaciens, B. velezensis and B. subtilis 470
Figure 1B, which is consistent with previous reports (Fan et al., 2017; Pandin et al., 2018). 471
Four of the strains (CM5, CM19, CM35 and EM5) , were found to be within the B. velezensis 472
clade and to be very closely related to each other and to the commercial biocontrol agent 473
QST713. 474
Five B. velezensis casing isolates (CM5, CM19, CM35, EM5 and EM39) were selected for 475
genome sequencing, which confirmed that these four strains had very high levels of homology 476
compared to QST713, returning a percentage identity of 99.99% when analysed using NCBI 477
PGAAP (Table 2). A full breakdown of all genes containing SNPs compared to QST713 and 478
how these affect the relevant amino acid sequences can be found in Table S5. 479
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Fengycins are the most abundant anti-microbial lipopeptides produced by 480
casing isolates of Bacillus velezensis in vitro. 481
We used the prediction software antiSMASH to identify potential gene clusters involved in 482
specialised metabolite biosynthesis that could be involved in the antagonistic behaviour 483
displayed by the casing isolates of B. velezensis (Figure 2). This analysis identified multiple 484
gene clusters (Table 3) with homology to clusters previously shown to encode the enzymatic 485
machinery for synthesis of the nonribosomal peptides surfactin , fengycin, bacillibactin, and 486
bacilysin and the antimicrobial polyketides bacillaene, difficidin, and macrolactin. Surfactin 487
and fengycin are lipopeptides known to have both antimicrobial and surfactant activity (Sur et 488
al., 2018; Gilliard et al., 2024) while bacillibactin is an iron-chelating siderophore (Qin et al., 489
2019). 490
Surfactant production by the selected B. velezensis strains was evaluated using a droplet 491
diameter assay (Akpa et al., 2001). All B. velezensis strains had significantly different droplet 492
diameters compared to the LB-only control (A), confirming that these strains produce factors 493
both with antimicrobial and surfactant activity. 494
The identity of the specialised metabolites produced by CM5, CM19 and CM35 was further 495
investigated using bioinformatics- and literature-guided targeted metabolic profiling by high -496
performance liquid chromatography-high-resolution mass spectrometry (HPLC-HRMS). 497
Targeted metabolic profiling revealed production of fengycin (1xCO,1xOH,Ala:R1=13C) 498
(Figure 4) by all three bacterial strains under the cultivation conditions tested. Fengycins A and 499
B differ in the amino acid alanine (A) or valine (B) at the sixth position. Identification of the 500
fengycin was achieved by comparison with an authentic reference standard and referencing the 501
mass spectral fragmentation pathway with literature (Wang et al., 2004; Ma et al., 2016). Other 502
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target compounds from antiSMASH prediction (see Table S9), including macrolactins , were 503
not produced under the tested conditions (i.e., < limit of detection (LOD)). 504
The application of Bacillus velezensis strains to mushroom crops was 505
ineffective in limiting disease caused by the dry bubble parasite 506
Lecanicillium fungicola. 507
Three B. velezensis strain (CM5, CM19, CM35) were taken forward for crop trials. Application 508
doses were selected based on preliminary results observed using a small growth chamber and 509
the application dose approved for the commercial product Serenade ASO® (Bacillus velezensis 510
QST 713) in Spain: 5.4 x 108 cfu/100 kg compost against Trichoderma aggressivum (MAPA, 511
2025). The crop trials were designed to assess (i) effects of the treatment on the biological 512
efficiency of the crop, and (ii) biocontrol effects against the fungal parasite L. fungicola. 513
Disease was successfully established following inoculation with LF and statistically significant 514
differences between control groups (+LF and –LF) were detected (Figure 5A), confirming that 515
artificial inoculation with LF affected yield. The control inoculated with LF ( Figure 5A) was 516
the least productive in terms of biological efficiency, and treatment with a single dose of CM19 517
was the most productive. However, differences between control and B. velezensis treatments 518
were not found to be significant (p > 0.05) in the first flush, second flush or total cropping cycle 519
(Figure 5A). As expected, the use of prochloraz-Mn (PCL) was found to significantly reduce 520
disease in both the first and second flush. 521
Phospholipid fatty acid analysis (PLFA) 522
To further examine whether supplementation with B. velezensis affected the mushroom casing 523
microbiota, phospholipid fatty acid (PLFA) analysis was carried out to evaluate the relationship 524
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between microbial biomass and community structure in the commercial casing substrate during 525
the crop trial at different stages of mushroom cropping . PLFA quantifies total microbial 526
biomass and specific microbial groups ( gram-positive bacteria, gram-negative bacteria, 527
Actinomycetes, and total fungi) to provide a general overview of microbial structure and 528
dynamics (52) (Table S8). 529
The total microbial biomass in the casing soil increased significantly over time at the different 530
stages of the crop. Specifically, microbial PLFAs in the casing soil were 3.4, 5.8 and 9.5 times 531
higher in the control treatment at the stages of mycelia penetration in the casing layer (initial 532
cropping stage), first flush primordia formation (start of fructification) , and first flush 533
mushroom growth (end of harvest) , respectively, compared to the casing soil (raw material) 534
(Figure 6A). 535
The proportion of PFLAs associated with bacterial populations in the casing soil decreased 536
over time while the proportion of fungal PLFAs increased. Fungal PLFAs were relatively more 537
abundant than bacterial PLFAs by the end of the first flush (day 29). Gram-negative and gram-538
positive bacterial fatty acids were higher during the initial cropping stage compared to the other 539
stages (Figure 6B,C). However, the relative abundance of gram-negative bacterial PLFAs was 540
higher than gram -positive ones a cross all cropping stages . Actinomycete populations were 541
significantly lower compared to the other bacterial groups (gram-negative and gram-positive 542
bacteria) during all stages of mushroom growth (Figure 6D). 543
The casing soils treated with B. velezensis strains showed significant differences in microbial 544
biomass and composition within the four microbial groups analysed and across the different 545
cropping stages (Figure 6E). The highest relative abundance of bacterial PLFAs at the flushing 546
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25
stage was observed in the control treatment supplemented with L. fungicola (+), while the 547
highest relative abundance of fungal PLFAs was observed in treatment 5 (strain CM35). 548
TaqMan assays for B. velezensis indicate low persistence of biostimulants 549
following supplementation to mushroom crops 550
To investigate whether the lack of a positive biocontrol effect for B. velezensis in crop could 551
be linked to low persistence of the biostimulants in mushroom casing we developed a specific 552
TaqMan assay to track the population density of B. velezensis when supplemented to casing 553
soil. The whole genome sequence of B. velezensis strains CM19, CM5 and CM35 are almost 554
identical and only showed a limited number of SNPs (Table S5). It was technically impossible 555
to differentiate the strains in a TaqMan assay based on a single SNP , and thus we decided to 556
design an assay for a subgroup of this species that includes the strains CM5, CM19 and CM35, 557
together with other closely related B. velezensis strains. Two B. velezensis subgroup-specific 558
assays, targeting different genes, were combined into a triplex assay with a specific assay for 559
Xanthomonas ca mpestris pv. campestris, which was used as extraction and amplification 560
control (Table S7). 561
The two B. velezensis subgroup-specific assays in the triplex assay gave a positive result with 562
the three target strains and with CM18, CM20, CM21 and EM5, which all clustered in the same 563
subgroup (Figure S2 B; Table S14 ), but not with other B. velezensis strains outside this 564
subgroup, such as B. velezensis EM39. 565
Despite showing high specificity, the assay showed low sensitivity , giving a positive result 566
only for cells present at 104 cfu/g of casing soil when used to detect cells present in exponential 567
cultures, and 10 7 cfu/g of soil for samples from stationary cultures (Figure 7C), potentially 568
indicating low efficiency of DNA extraction from spores. When used to detect B. velezensis in 569
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26
casing samples, the bacteria could only be detected on the day of applicati on (days 1 and 18 570
after casing; Figure 7A, B), suggesting low persistence and/or conversion to spores following 571
supplementation. 572
Discussion
573
The horticultural activity of button mushroom cultivation include s different agronomic 574
operations: a) production of a selective substrate through a process of composting; b) 575
inoculation with the selected A. bisporus strain; c) casing of colonised substrate, commonly 576
with non-sterile, peat-based material; d) fruiting and harvest (Carrasco et al., 2021). The casing 577
layer is a microbe-rich environment where mushroom fructification occurs, driven by the action 578
of beneficial bacteria (Braat et al., 2022), and is also considered to be the main infection site 579
for mycoparasites, the most damaging biotic disorders of mushroom crops (Carrasco et al., 580
2021; Gea et al., 2021). The microbiota present in casing soil therefore plays a key role in both 581
promotion of mushroom fructification and disease development or disease suppression. The 582
aim of this work was to isolate and characterize bacteria that are naturally resident in casing 583
soil or live in association with mushroom basidiomes, to show antifungal activity of these 584
bacteria towards economically important mycoparasites; to investigate the mechanistic basis 585
of this antifungal activity, and to investigate the potential of these bacteria as biocontrol agents 586
in crop. 587
Several strains of B. velezensis, including CM5, CM19 and CM35 (included in a published 588
patent (Carrasco and Preston, 2023 )), isolated from commercial casing material, and B. 589
velezensis EM5 and EM39 , isolated from mushroom basidiomes, have been identified and 590
demonstrated to possess antifungal activity towards four of the most damaging mycoparasites 591
(C. mycophilum, L. fungicola, M. perniciosa and T. aggressivum ). The antifungal activity 592
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27
observed in our strains is consistent with the potential biocontrol activity reported in other 593
strains, including B. velezensis Kos isolated from mushroom casing environment at Teagasc, 594
Ireland (Kosanović et al., 2021; Clarke et al., 2022a, 2022b ) and the commercial biocontrol 595
agent B. velezensis QST713, isolated from soil in a peach tree orchard in Fresno County, 596
California (USA) (Anastassiadou et al., 2021). 597
Importantly, B. velezensis CM5, CM19 and CM35 showed limited toxicity to A. bisporus in 598
vitro and did not show a deleterious effect on the mushroom mycelium at the dose applied in 599
crop (109 cfu m-2). However, compared to an established chemical treatment (PCL), none of 600
the three strains provided effective control of the dry bubble parasite L. fungicola in a crop trial 601
(Figure 5B). According to previous published results, the commercial formulation s of B. 602
velezensis strain QST 713 (Serenade®, Bayer Crop Science, Valencia, Spain) and Bacillus 603
amyloliquefaciens subsp. plantarum strain D747 (Amylo-X®, Certis Europe, Alicante, Spain) 604
also offered poor control of wet bubble disease in crop trials, with their effectiveness further 605
reduced under high pressure of parasite inoculum (Navarro et al. , 2023 ). Similarly, B. 606
velezensis QST 713 did not control cobweb disease in a crop trial artificially infected by C. 607
mycophilum isolate 1546 while B. velezensis Kos 96h culture filtrate reached 30–40% efficacy 608
(Clarke et al., 2024). This indicates that parasite identity, inoculum density and disease pressure 609
may all affect the outcome of control treatments, and that beneficial effects may largely due to 610
antimicrobial compounds present in the culture (or culture filtrate) at the time of application . 611
Our trial used a high inoculum density of L. fungicola compared to the natural parasite pressure 612
in commercial facilities . It is possible that at a lower inoculum density, a higher dose of B. 613
velezensis applied to the crop , or by optimising culture conditions and inoculum design to 614
increase production of antimicrobial compounds, both prior to and upon application to the crop, 615
a better disease control will be achieved. However, in pilot assays, at the highest doses used (> 616
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28
1010 cfu/m2), B. velezensis was observed to have a potential deleterious effect on A. bisporus 617
colonisation of casing soil (our unpublished results), and therefore it is likely be necessary to 618
further optimise the dose and formulation of B. velezensis applied to the crop to achieve optimal 619
results. 620
Selective TaqMan assays were developed to study the population dynamics of B. velezensis in 621
crop. The availability of two TaqMan assays per target organism in combination with an assay 622
for extraction and amplification allows specific and reliable detection of the targets in multiplex 623
set-up. However, the LOD was ≤ 4 × 105 cells per mL in casing soils, which only allows studies 624
of the population dynamics in situations in which relatively high densities of the B. velezensis 625
are supplemented to or persist in the casings. Additionally, we observed low efficiency 626
detection of bacteria that had entered stationary phase , potentially linked to challenges with 627
efficient extraction of DNA from spores. 628
When the TaqMan assays were applied to crop trial samples, we found that the target strains 629
could only be reliably detected on the day of application . This suggests that their population 630
declines rapidly following inoculation, or that the bacteria have entered stationary phase and 631
formed spores, in which case the TaqMan assay may significantly under-report their abundance 632
in casing samples. Since B. velezensis must adapt to a complex environment, optimizing the 633
formulation or antimicrobial activity of B. velezensis based products is key to improve stability, 634
shelf-life and deliver biocontrol activity (Kenfaoui et al., 2024).. 635
As previously reported (Carrasco et al., 2019, 2020), we observed that microbiome structure 636
changes along the process of mushroom cultivation. PLFA analyses confirmed that the 637
cultivation stage of A. bisporus correlated with significant changes in the composition of the 638
microbial communities in the casing, where the bacterial population, particularly gram-639
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29
negative bacteria, have been reported to play a fundamental role during the early development 640
of the mushroom primordia. The highest microbial biomass was found in the casing soil at the 641
end of fructification , indicating changes in microbial structure associated with mushroom 642
mycelium growth. The increase in the microbial population, with respect to both bacterial and 643
fungal biomass, correlated with the mycelial growth of A. bisporus , in accordance with 644
previous results (Chen et al. , 2009; Carrasco et al ., 2020 ). The increase in the bacterial 645
population may be attribut able to metabolites released during the development of fruiting 646
bodies, which alter nutrient composition and influence the diversity of microbial communities 647
in mushroom casing (Zhao et al., 2022). 648
Interestingly, application of B. velezensis strains in crop had a positive effect on both the gram-649
negative and gram -positive communities suggesting that in addition to directly inhibiting 650
mycoparasitic fungi, it could have a synergistic effect on mushroom growth by promoting the 651
proliferation of disease-suppressing or fructification -promoting bacteria, perhaps through an 652
anti-competitor effect or by releasing nutrients through lysis of susceptible organisms . The 653
higher amount of gram negative compared to gram positive bacteria in all cropping stages is 654
consistent with the hypothesis that gram negative bacteria play a key role in stimulating the 655
initiation of mushroom sporophore s (Chen et al., 2009). Gram-negative bacteria, particularly 656
members of the Pseudomonadales such as Pseudomonas putida have been identified as major 657
microbial stimulants for sporophore formation in the casing layer, potentially by metabolizing 658
volatile compounds in the casing soil that would otherwise inhibit sporophore initiation, 659
thereby creating conditions conducive to sporophore formation (Rainey, 1989; Noble et al., 660
2003). 661
Actinomycetes are sensitive to environmental changes, such as shifts in temperature, pH, and 662
moisture levels, which occur during mushroom cultivation (Lacey, 1997; Akond et al., 2016). 663
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30
These fluctuations c ould adversely affect their survival and proliferation, leading to lower 664
populations compared to more resilient bacterial groups. Besides, the casing layer is rich in 665
microbial diversity, leading to competition for nutrients and space. Actinomycetes may be 666
outcompeted by faster-growing bacteria, such as Pseudomonas spp., resulting in their reduced 667
presence during mushroom growth stages (Rainey, 1989; Noble et al., 2003). 668
B. velezensis CM5, CM19, CM35, EM5 and EM39 all showed antimicrobial activity against 669
mycoparasites causing cobweb (C. mycophilum), dry bubble (L. fungicola), wet bubble (M. 670
perniciosa) and green mould disease (T. aggressivum) in vitro. Similarly, Clarke et al. (Clarke 671
et al., 2022a, 2022b) have reported that B. velezensis Kos has antimicrobial activity against C. 672
mycophilum and L. fungicola . Genome sequencing identified several gene clusters in these 673
strains that could direct the production of a range of non -ribosomal peptide and polyketide 674
antifungal compounds. However, analyses of the specialised metabolites produced in vitro 675
identified lipopeptides known as fengycins as the major non-ribosomal peptides produced by 676
these strains in pure culture under the conditions tested. It therefore seems likely that fengycins 677
are the primary factors responsible for both the anti-fungal activity and the surfactant activity 678
observed for these bacteria in vitro. However, we cannot exclude the possibility that some of 679
the anti-fungal compounds produced by these bacteria are only produced in the presence of 680
other microorganisms, or that these bacteria express a different arsenal of anti-microbial factors 681
during colonisation of mushroom casing or sporocarps. Previous studies have shown that many 682
gene clusters encoding anti -microbial factors remain silent in standard culture conditions . 683
These cryptic biosynthetic genes may only be induced during co -culture or specific 684
environmental conditions (Ochi , 2017). 685
The chemical structure of the fengycin analogues produced has been determined for CM5, 686
CM19 and CM35 when cultured in vitro. Interestingly, despite the high degree of similarity 687
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31
between these strains at a genomic level CM19 showed higher production of the fengycin 688
analogue in vitro, suggesting that epigenetic differences or one or more of the SNPs detected 689
(Table S16) could be responsible for this differential production. 690
Fengycin is known to exert its anti-fungal activity by assembling into pore-forming complexes 691
that target fungal cell membranes (Zakharova et al., 2019) in an interaction that depends on the 692
lipid composition of these membranes. The observation that fengycins are the major anti-fungal 693
factor produced by these strains in vitro and that these strains exhibit greater a ntagonism 694
towards the four mycoparasitic fungi, all of which belong to the order Hypocreales (Division: 695
Ascomycota) compared to A. bisporus (order Agaricales, Division Basidiomycota), raises the 696
prospect that this differential toxicity could rel ate to intrinsic differences in membrane 697
properties between fungi within these two clades . This suggests that biocontrol agents 698
specifically producing fengycins and selected or engineered to not produce broadly active anti-699
fungal compounds could prove particularly effective as biocontrol agents for mushroom 700
cultivation. This also raises the exciting prospect that fengycins or other lipid-specific, 701
membrane-targeting compounds could be further developed as selective fungicides capable of 702
targeting specific groups of fungi. Research is already underway to develop approaches to 703
produce fengycin through fermentation on an industrial scale (Yin et al., 2024). Additional 704
research could be carried out to determine which of the different analogues of fengycin 705
produced by B. velezensis and related bacteria display the greatest activity and specificity in 706
order to focus production on these metabolites. 707
Although fengycin remains the most likely candidate as the causal agent of the antimicrobial 708
activity observed in vitro, we have not yet been able to validate this hypothesis by knock-out 709
mutagenesis of the fengycin biosynthetic cluster , as the strains described in this study have 710
proven to be recalcitrant to transformation. However, the very low efficiency , but successful 711
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32
transformation of CM19 with pHAPII gfp suggests that with further optimisation of 712
transformation protocols this might be possible. Additionally, we have not yet been able to 713
detect expression of fengycin biosynthetic genes or the production of fengycin when these 714
strains are inoculated into casing (data not shown) , consistent with the rapid decline in 715
detectable bacteria and the lack of suppression of L. fungicola observed in crop trials . 716
Therefore, in order to fully realise the potential of fengycin-producing bacteria as biocontrol 717
agents it will be necessary to focus on the development of fengycins as selective fungicides or 718
further optimise the formulation and properties of these strains in the crop environment to 719
maximise survival and fengycin production. 720
Conclusion
721
In this study we set out to investigate whether endogenous casing bacteria have the potential to 722
be effective biocontrol agents against mycoparasitic fungi . B. velezensis strains isolated from 723
casing and basidiomes were demonstrated to display a high level of antifungal activity against 724
major fungal parasites, including L. fungicola, the causal agent of dry bubble. We identified a 725
fengycin analogue as the compound most likely to be responsible for the anti -fungal activity 726
exhibited by these strains in vitro. However, these strains have not been demonstrated to be 727
capable of suppressing the development of dry bubble when inoculated onto mushroom crops 728
that have been artificially infected with this parasite. The lack of antifungal activity observed 729
in crop could be due to a number of factors : the doses of mycoparasite and biocontrol agent 730
used, the level of fengycin present in or produced by the bacterial treatments applied to the 731
crop and the limited persistence of these strains in the casing material following inoculation. 732
In this sense, further optimisation of the bacteria formulation in relation to the composition and 733
dynamics of the microbiota that could compete for space or nutrients in the casing could be the 734
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33
object of future research. Nevertheless, the specificity shown by these bacteria towards 735
mycoparasitic fungi over their mushroom host raises exciting possibilities to develop selective 736
biocontrol of mycoparasitic fungi. Understanding the composition and dynamics of the 737
microbiota in the casing during commercial cultivation of the fungus A. bisporus could be 738
essential to design novel biocontrol agents against mushroom mycoparasites. 739
Tables 740
Table 1: Experimental blocks used in crop trial 741
Treatment Code Dose Infected (Lecanicillium fungicola 150/1)
Control Control+ 20 ml Tap water 106 conidia m-2 (10 days after casing)
Control Control- 20 ml Tap water -
Bacillus velezensis CM5 CM5 109 cfu* m-2 106 conidia m-2 (10 days after casing)
Bacillus velezensis CM19 CM19 109 cfu m-2 106 conidia m-2 (10 days after casing)
Bacillus velezensis CM35 CM35 109 cfu m-2 106 conidia m-2 (10 days after casing)
Prochloraz-Mn PCL 1 g m-2 106 conidia m-2 (10 days after casing)
*cfu: colony forming unit. 742
743
Table 2: Summary of genomic data for B. velezensis casing isolates compared to QST713 (BLASTn
(Nucleotide BLAST); BLASTp (Protein-Protein BLAST)).
QST713 CM5 CM19 CM35 EM5 EM39
Similarity to 1QST713 (%) 100 99.99 99.99 99.99 99.99 98.38
Genes (total) 4,238 4,256 4,255 4,256 4,256 3,906
GC Content 46 45.84 46 45.85 45.84 46.43
Genome Size 4233757 4240819 4240819 4240818 4240818 3929792
2CDSs (total) 4,047 4,137 4,136 4,137 4,137 3,788
Genes (coding) 4,047 4,049 4,048 4,048 4,048 3,686
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34
CDSs (with protein) 4,047 4,049 4,048 4,048 4,048 3,686
Genes (RNA) 107 119 119 119 119 118
3rRNAs (5S, 16S, 23S) 9, 8, 8 10, 9, 9 10, 9, 9 10, 9, 9 10, 9, 9 9, 9, 9
Complete rRNAs (5S, 16S, 23S) 9, 8, 8 10, 9, 9 10, 9, 9 10, 9, 9 10, 9, 9 9, 9, 9
4tRNAs 77 86 86 86 86 86
5ncRNAs 5 5 5 5 5 5
Pseudo Genes (total) 84 88 88 89 89 102
CDSs (without protein) 84 88 88 89 89 102
Pseudo Genes (ambiguous
residues)
0 of 84 0 of 88 0 of 88 0 of 89 0 of 89 0 of 102
Pseudo Genes (frameshifted) 48 of 84 51 of 88 51 of 88 52 of 89 52 of 89 61 of 102
Pseudo Genes (incomplete) 58 of 84 61 of 88 61 of 88 61 of 89 61 of 89 65 of 102
Pseudo Genes (internal stop) 14 of 84 11 of 88 11 of 88 11 of 89 11 of 89 9 of 102
Pseudo Genes (multiple
problems)
30 of 84 29 of 88 29 of 88 29 of 89 29 of 89 30 of 102
1Results for all strains are from analyses using NCBI PGAAP (Tatusova et al., 2016). Quality Assessment of 744
Bacillus genomes using QUAST can be found in Table S 1; 2CDS: Coding sequences; 3rRNA: ribosomal RNA; 745
4tRNA: transfer RNA; 5ncRNA: non-coding RNA. 746
747
Table 3: Comparative AntiSMASH analysis of gene clusters predicted to encode genes involved in 748
specialised metabolite synthesis between Bacillus velezensis CM5, CM19, CM35, EM5, EM39 and 749
QST713. 750
Most similar cluster Type QST713 CM5 CM19 CM35 EM5 EM39
bacillaene Polyketide+1NRP 100% 100% 100% 100% 100% 100%
bacillibactin NRP 100% 100% 100% 100% 100% 100%
bacilysin Other 100% 100% 100% 100% 100% 100%
butirosin A/B Saccharide 7% 7% 7% 7% 7% 7%
difficidin Polyketide 100% 100% 100% 100% 100% 100%
fengycin NRP 100% 100% 100% 100% 100% 100%
locillomycin NRP+Polyketide 28% 28% 28% 28% 28% -
macrolactin H Polyketide 100% 100% 100% 100% 100% 100%
subtilin 2RiPP: Lanthipeptide 100% 100% 100% 100% 100% -
surfactin NRP:Lipopeptide 82% 82% 82% 82% 82% 82%
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35
1NRP: Non -Ribosomal Peptides ( built by non -ribosomal peptide synthetases (NRPSs) ); 2RiPPs: Ribosomally 751
synthesized and Post-translationally modified Peptides. 752
Figures 753
754
Figure 1: A) Cultivable bacterial isolates from three types of casing layer and endofungal bacteria from 755
basidiomes of Agaricus bisporus identified using 16S rDNA sequencing ; B) Phylogenetic tree of 756
isolated Bacillus strains. The phylogeny was built using concatenated genomes comprising the five 757
housekeeping genes ( gyrB, pgk, rpoB, rpoD, and tuf) aligned to the reference strain B. velezensis 758
FZB42. Strains highlighted in bold were isolated and phenotypically characterised in this study; C) 759
Visualization of Bacillus genomes using circular map and BLAST comparison using B LAST Ring 760
Generator (BRIG) (42); Putative specialised metabolite biosynthetic clusters compared to QST713 are 761
shown by red marks in the outer ring. 762
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763
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37
Figure 2: A) Representative images of halos formed during antagonism between B. velezensis CM19 764
and the four fungal parasites of the cultivated button mushroom Agaricus bisporus in confrontation 765
assays: L. fungicola (150/1); T. aggressivum (TAV1); M. perniciosa (M25); and C. mycophilum 766
(CM13900). B) Graph shows the mean and standard error of zones of inhibition (mm) of the three 767
biological replicates of the antagonism assay. Letters indicate groups of statistically different conditions 768
(one-way ANOVA and Tukey’s HSD test α = 0.05). C & D) Representative images of unchallenged 769
fungal parasites grown in vitro on PDA plates – images taken using confocal microscope at t=0 (C), 770
and t=18 h (D). E) Representative confocal microscope images of fungal parasites in vitro in the 771
presence of B. velezensis CM19 transformed with the plasmid pHAPII gfp (green). Conidial and hyphal 772
viability and morphology were assessed in vitro using PDA plates. Live dead staining with propidium 773
iodide (PI; pink) was used to study the effect of CM19 on spore survival and germination (C, D, E). 774
Spores were classified as dead if either fully stained with PI or hollow/lysed cells. In many cases spores 775
were deemed to have germinated but resulting hyphae were also found to be stained or lysed. F) 776
Representative images of mushroom sporocarp cubes 24h after inoculation with LB, B. velezensis 777
CM35, B. velezensis EM39, and P. tolaasii. Graph of results can be viewed in Figure S1. 778
779
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38
780
781
Figure 3: Surfactant production in B. velezensis strains. Data shown is the mean droplet diameter of 782
supernatant from overnight LB cultures . Droplet diameters were measured 2 minutes after pipetting 783
onto microscope slides. Graph shows the mean and standard error of 5 experiments, each containing 5 784
droplets per treatment. Letters indicate groups of statistically different conditions (one -way ANOVA 785
and Tukey’s HSD test α = 0.05). 786
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39
787
Figure 4: HPLC-HRMS analysis of fengycin produced by B. velezensis strains CM5, CM19 and CM35 788
cultivated on LB agar. (A) Extracted ion chromatograms ( [M+H]+, m/z 1463.804, ±2 ppm) show the 789
production of fengycin by all the three strains. The highest physiological amounts of the compound 790
were produced by B. velezensis CM19, followed by strains CM5 and CM35. The left insert shows the 791
phenotypic characteristics of the strains grown on LB agar. The chemical structure of fengycin is shown 792
on the right. (B) HRMS spectrum of fengycin produced by the bacteria. 793
794
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40
795
796
Figure 5: Crop trial of B. velezensis biocontrol activity against Lecanicillium fungicola 150/1. Blocks 797
were artificially infected with Lecanicillium fungicola 150/1 and treated with CM5, CM19 and CM35, 798
using prochloraz -Mn (PCL) as a positive control treatment and water as a negative control : A) 799
Biological efficiency (BE) of the crop ( Kg of mushroom per 100 Kg of compost in dry weight) 800
recovered from the different treatments at flush 1 (F1), flush 2 (F2) and for the total cropping cycle; B) 801
Diseased mushrooms (%) collected from the different treatments at F1, F2 and for the total cropping 802
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41
cycle. Graphs show the mean and standard error of three biological replicates. Letters indicate groups 803
of statistically different conditions (one-way ANOVA and Tukey’s HSD test α = 0.05). 804
805
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42
806
Figure 6: A: Quantification of casing microbial biomass by analysis of PLFAs . Four timepoints were 807
assessed: d0 (Beginning of trial; grey), day 10 (Fully colonized casing, blue), d21 (Fructification of first 808
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43
flush, green), and d29 (End of first flush, orange). Treatment 1: Control +LF (+); Treatment 2: Control 809
-LF (-); Treatment 3: CM5 +LF; Treatment 4: CM19 +LF; Treatment 5: CM35 +LF; Treatment 6: PCL 810
+LF). Letters in uppercase highlight differences between treatments at the same time point (Tukey Test, 811
p > 0.05) . Error bars show SE. B: Abundance of Gram -positive bacteria. C: Abundance of Gram -812
negative bacteria. D: Abundance of Actinomycetes. E: Abundance of fungal PLFAs. All data shown 813
uses nmol g-1. 814
815
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44
816
Figure 7: Population dynamics of Bacillus velezensis CM19 following application to mushroom casing 817
as determined by a quantitative TaqMan assay. T0 = after cac-ing (day 0), T1 = directly after application 818
of B. velezensis CM19 (day 3), T2 = End of spawn run (Day 9), T3 = Beginning of the 1st flush (Day 819
14), T4 = End of the 1st flush (Day 17), T5 = Directly after the second application of B.velezensis CM19 820
(Day 18), T6 = Beginning of the 2nd flush (Day 22), T7 = End of the 2nd flush (Day 25). A: Results 821
using the HP2.21 (FAM) TaqMan probe; B) Results using the HP2.19 (Cy5) TaqMan probe C ) 822
Electrophoresis gel showing PCR results from PCR reaction using HP2.19 TaqMan primers (35 cycles) 823
for DNA extracted from B. velezensis CM19 cells (from LB medium) in exponential growth stage (6h) 824
and stationary cultures (24 h). Numbers indicate the number of bacteria added to the casing soil before 825
extraction (cells added /g of soil). 826
827
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45
Author statements 828
Authors 829
• William Kay;
[email protected] ; orcid.org/0000-0002-2561-4856 830
• Jaime Carrasco;
[email protected]; orcid.org/0000-0002-2051-1823 , 831
• Gail Preston;
[email protected] ; orcid.org/0000-0003-3882-4438 832
• Souvik Kusari:
[email protected]; orcid.org/0000-0002-4685-0794 833
• Marjon Krijger;
[email protected] 834
• M. José Carpio;
[email protected]; orcid.org/0000-0003-1752-9608 835
• Thomas Barnes;
[email protected] 836
• M. Sonia Rodríguez Cruz;
[email protected]; orcid.org/0000-0001-6748-837
3391 838
• Jan van der Woolf;
[email protected]; orcid.org/0000-0002-9196-5419 839
• Till Bebenroth;
[email protected] 840
Author Contributions 841
• Conceptualization: JC WK SK GP 842
• Data curation: WK JC SK MK MJC TB 843
• Formal analysis: JC MLT MT AT GP 844
• Funding acquisition: JC SK MSRC JVW GP 845
• Investigation: WK JC SK MK MJC TB MSRC JVW TB GP 846
• Methodology: WK JC SK MK MJC 847
• Project administration: JC SK MSRC JVW GP 848
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46
• Resources: WK JC SK MK MJC TB MSRC JVW TB GP 849
• Software: WK JC SK MK MJC TB MSRC JVW TB GP 850
• Supervision: JC SK MSRC JVW GP 851
• Validation: WK JC SK MK MJC TB MSRC JVW TB GP 852
• Visualization: WK JC GP 853
• Writing – original draft: WK JC GP 854
• Writing – review & editing: WK JC SK MK MJC TB MSRC JVW TB GP 855
Conflicts of interest 856
There are no conflicts of interests. All the authors have read and approved the manuscript and 857
all are aware of its submission to the Journal. The paper has not been submitted in any other 858
journal. 859
Funding information 860
The project leading to this report has received funding from the European Union’s Horizon 861
2020 research and innovation programme GA: 101000651 (BIOSCHAMP) and the Marie 862
Sklodowska-Curie IF GA: 742966 (MYCOBIOME). JC is the recipient of a Ramon y Cajal 863
contract [RYC2021 -032796-I], funded by MCIN/AEI/10.13039/ 501100011033 and the 864
European Union “NextGenerationEU”/PRTR”. 865
Ethical approval 866
No ethics statement required since the work has been accomplished with commercial 867
samples and wild strains from fungal specimens. 868
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted September 2, 2025. ; https://doi.org/10.1101/2025.09.02.673639doi: bioRxiv preprint
47
Acknowledgement
869
B. velezensis CM5, CM19 and CM35 are protected as biocontrol agents against mushroom 870
parasites in a patent published as EP4200400A1; WO2021255181A1PCT. 2023/06/28. The 871
project leading to this report has received funding from the European Union’s Horizon 2020 872
research and innovation programme GA: 101000651 (BIOSCHAMP) and the Marie 873
Sklodowska-Curie IF GA: 742966 (MYCOBIOME). JC is the recipient of a Ramon y Cajal 874
contract [RYC2021 -032796-I], funded by MCIN/AEI/10.13039/ 501100011033 and the 875
European Union “NextGenerationEU”/PRTR”. 876
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