Zhiyu Zhang1,2Mengfei Cui1,2Panting Chen1,2Juxing Li1,2
Zhitao Mao3
Yufeng Mao3Zhenjing Li1,2
Qingbin Guo1,2Changlu Wang1,2
Xiaoping Liao3,4*
Huanhuan Liu1,2*- 1State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin, China
- 2State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Ministry of Education, Tianjin, China
- 3Biodesign Center, Key Laboratory of Engineering Biology for Low-Carbon Manufacturing, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
- 4Haihe Laboratory of Synthetic Biology, Tianjin, China
Background: Species of the genus Monascus are economically important and widely used in the production of food colorants and monacolin K. However, they have also been known to produce the mycotoxin citrinin. Currently, taxonomic knowledge of this species at the genome level is insufficient.
Methods: This study presents genomic similarity analyses through the analysis of the average nucleic acid identity of the genomic sequence and the whole genome alignment. Subsequently, the study constructed a pangenome of Monascus by reannotating all the genomes and identifying a total of 9,539 orthologous gene families. Two phylogenetic trees were constructed based on 4,589 single copy orthologous protein sequences and all the 5,565 orthologous proteins, respectively. In addition, carbohydrate active enzymes, secretome, allergic proteins, as well as secondary metabolite gene clusters were compared among the included 15 Monascus strains.
Results: The results clearly revealed a high homology between M. pilosus and M. ruber, and their distant relationship with M. purpureus. Accordingly, all the included 15 Monascus strains should be classified into two distinctly evolutionary clades, namely the M. purpureus clade and the M. pilosus-M. ruber clade. Moreover, gene ontology enrichment showed that the M. pilosus-M. ruber clade had more orthologous genes involved with environmental adaptation than the M. purpureus clade. Compared to Aspergillus oryzae, all the Monascus species had a substantial gene loss of carbohydrate active enzymes. Potential allergenic and fungal virulence factor proteins were also found in the secretome of Monascus. Furthermore, this study identified the pigment synthesis gene clusters present in all included genomes, but with multiple nonessential genes inserted in the gene cluster of M. pilosus and M. ruber compared to M. purpureus. The citrinin gene cluster was found to be intact and highly conserved only among M. purpureus genomes. The monacolin K gene cluster was found only in the genomes of M. pilosus and M. ruber, but the sequence was more conserved in M. ruber.
Conclusion: This study provides a paradigm for phylogenetic analysis of the genus Monascus, and it is believed that this report will lead to a better understanding of these food microorganisms in terms of classification, metabolic differentiation, and safety.
1. Introduction
Monascus spp. is a highly valuable edible fungus that has been traditionally consumed in China and other Asian countries such as Japan, Republic of Korea, and the Philippines. It has high nutritional value due to the synthesis of a variety of beneficial secondary metabolites, including Monascus azaphilone pigments (MonAzPs), monacolin K (MK), aminobutyric acid, ergosterol, and Hong Qu polysaccharide (Wang et al., 2021), with MonAzPs and MK being of special concern. MonAzPs are a type of chromogenic chemical consisting of a chromophore with a polyketide structure and medium- or long-chain fatty acids. They are highly promising in the food, healthcare, and cosmetic industries due to their excellent coloring properties, good biological efficacy (antioxidant, anti-inflammatory, hypolipidemic, and anti-tumor properties), and non-toxic side effects as natural food additives (Chen et al., 2019). Another important metabolite, MK, is an inhibitor of 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase, a critical enzyme in endogenous cholesterol production (Zhang et al., 2020). It is a prescription drug with brand names Mevinoline, Lovastatin, or Mevalonate used to treat excessive cholesterol, coronary heart disease, and other disorders (Karthikeyan and Dharumadurai, 2023). However, concerns were raised regarding the safety of Monascus products when citrinin, a mycotoxin hazardous to both humans and animals, was detected in Monascus products as early as 1995 (Shao et al., 2014). Citrinin is nephrotoxic and can cause kidney enlargement, renal tubule expansion, and renal epithelial cell degeneration and necrosis. Fortunately, some citrinin-free Monascus strains and production techniques have been developed recently, including metabolic engineering to eliminate the production of citrinin by disrupting the polyketide synthase gene pksCT (Jia et al., 2010) or dehydrogenase gene citE (Ning et al., 2017), natural screening (Feng et al., 2016), mutagenesis (Kalaivani and Rajasekaran, 2014), genome shuffling (Ghosh and Dam, 2020), low pH (Kang et al., 2014), and genistein addition (Ouyang et al., 2021). With the increased safety of Monascus, people are becoming more interested in the health benefits of this edible fungus.
Despite the economic importance of Monascus, taxonomic research on this genus remains limited (Barbosa et al., 2017). Monascus spp. are categorized under the phylum Eumycota, subphylum Ascomycota, class Plectomycetes, order Eurotiales, and family Monascaceae. Morphologically, this genus generates non-porous perithecia at the top of the stem-like hypha, ascospores distributed throughout the hypha, virtually spherical to wide spherical ascospores, and transparent and oval ascospores detached from the closed capsule. In 1983 Hawksworth and Pitt updated the genus based on physiological and morphological criteria, reducing the number of recognized species to three: M. pilosus, M. ruber, and M. purpureus (Barbosa et al., 2017). Following the discovery of new species, the NCBI taxonomy database now contains more than twenty records on Monascus species.1 Among these, M. purpureus has the most heterotypic synonyms, such as M. albidus, M. anka, M. erroneous, and M. rubiginosus.
More recently, DNA sequencing and molecular phylogenetics have become essential in microbiological taxonomy. ITS (Dai et al., 2021), LSU (He et al., 2020; Higa et al., 2020), β-tubulin (Tong et al., 2022), calmodulin (He et al., 2020; Ruiz and Radwan, 2021) are frequently used for accurate species identification of close relatives among Monascus spp. However, phylogenetic delineation of this genus was complicated by gene region inconsistency and low support for internal nodes. Phenotype-based identification schemes in Monascus have been difficult to reconcile with the results obtained by ITS, partial LSU and/or β-tubulin gene sequencing (Park and Jong, 2003; Park et al., 2004; Shao et al., 2011, 2014), and the genetic identities of Monascus species are still under debate or are even confusing. Back in Park and Jong (2003) investigated the phylogenetic relationships among the species using sequences from the D1/D2 region of the large subunit (LSU) rRNA genes. They found that M. ruber, M. pilosus, and M. purpureus were closely related and clustered into the same subgroup, but M. ruber and M. pilosus were unable to be distinguished from each other. In Park et al. (2004) amplified and sequenced the ITS and partial β-tubulin genes of 17 ATCC reference strains of Monascus species. Still, they found that M. pilosus and M. ruber could not be differentiated using these sequences (Park et al., 2004), implying that species boundaries in Monascus should be reexamined. In fact, although ITS is the formally recognized fungal barcode, it sometimes does not distinguish among closely related phylogenetic species (Ruiz and Radwan, 2021). Due to insufficient phylogenetic information and gene-specific noise, one or a few loci usually yield incongruent phylogenies, resulting in several weakly supported nodes.
To advance the understanding of phylogeny on these edible fungi, a deeper sampling of larger and identical gene sets across the genome is required (Binder et al., 2013; Ruiz and Radwan, 2021). Whole-genome sequencing (WGS) has provided a significant benefit in establishing phylogenetic relationships, genetic diversity, virulence-related components, and biotechnological features (Carrillo and Blais, 2021). The widespread availability of WGS effectively eliminated data availability as a limiting factor for inferring phylogenetic trees, offering hundreds to thousands of loci for analysis, and eventually replacing molecular phylogenetics with phylogenomics (Nagy and Szollosi, 2017). As the available genomes of Monascus spp., the first WGS project (M. ruber NRRL 1597, SRR1800507, Illumina HiSeq 2000 platform) was published in 2015 as part of the JGI 1,000 Fungal Genomes Project to represent members of the ascomycete family Monascaceae, while the first sequence assembly was deposited in NCBI database in 2017 (M. ruber ASM90018405v1) (Chen et al., 2015), currently up to more than 10 deposits. Only a few have been assembled to the chromosomal level and functionally annotated (Yang et al., 2015).2 In the research conducted by Yang et al. (2015) they used 2,053 single-copy orthologs across the genome of M. purpureus YY-1 and other 17 genomes from the class Eurotiomycetes and Sordariomycetes to create a phylogenetic tree by the maximum-likelihood method, revealing the M. purpureus YY-1’s close relationship with the family Aspergillaceae. In another study, Higa et al. (2020) compared the biosynthetic gene clusters (BGCs) of MK, citrinin, and MonAzPs using WGS of M. pilosus NBRC 4520, M. purpureus NBRC 4478, and M. ruber NBRC 4483. They found that M. pilosus and M. purpureus are chemotaxonomically distinct while M. ruber has similar secondary metabolite BGCs to M. pilosus. The genome-scale approach to microbial taxonomy obviously offers improved resolution, stability, and reliability in evolutionary analyses compared to established methods of identifying physiologically and biochemically changeable and monogenic markers. Unfortunately, no phylogenomics studies on Monascus have been conducted within this genus.
On the other hand, WGS enables us to more fully comprehend the intrinsic mechanisms that underlie the phenotypic variations in nutritional profile, pathogenicity, host specificity, secondary metabolite synthesis and so on (San et al., 2019). Genomes within a species or all strains within a clade frequently have a core/conserved component as well as a variable set of genetic material that is referred to as a “pan-genome” among individuals or populations (Barber et al., 2021). The core genome comprises sequences present in all strains and is typically linked to biological functions and key phenotypic traits of the species. The variable/accessory/dispensable genomes contain sequences that are unique to one strain or subset of strains and are related to the adaptability of the species to specific environments or unique biological characteristics, reflecting the characteristics of the individuals. The size of the pan-genome is determined by the effective population size, lifestyle, and niche heterogeneity of the species. The gene pool of a species largely controls its ecological interactions and adaptive capacity, with core and variable genes contributing to the presence-absence variations (PAVs) (Siren et al., 2021). Therefore, a pan-genome of Monascus can allow us to better understand the relationship between individual characteristics and genetic variation within this species.
To expand the understanding of the phylogenetic relationships and metabolic divergence in Monascus species, this study collected 15 genome assemblies from the genus. They were compared at the whole-genome level using average nucleotide identity (ANI), whole-genome alignment (WGA), PAVs of the pan-genome, species tree inferred from all orthologous gene sequences (STAG), and species tree from single-copy orthologous genes (SCOG). Additionally, this study investigated noteworthy characteristics of Monascus, such as secondary metabolite biosynthetic gene clusters (BGCs), carbohydrate active enzymes, secretome, and pathogenicity that occur in this genus’ genomes. This approach moves away from a single reference genome that may not necessarily represent the species as a whole, and allows for better understanding of its metabolic versatility, ultimately leading to better management of these food microorganisms.
2. Materials and methods
2.1. Collection of genome assemblies
All available sequenced Monascus genomes defined by the taxonomically united genome database in NCBI3 were collected, resulting in a collection of 15 genomes (July 2022). The collection included a complete assembly (GCA_003184285.1 of M. purpureus YY-1) and 14 assemblies labeled as scaffold or contig. Table 1 summarized several key features for the 15 Monascus genomes. The completeness of genome assemblies were assessed by BUSCO (version 5.4.3) (Manni et al., 2021) with a reference set of single-copy orthologs of fungi (fungi_odb10)4 and default parameters.
Table 1. Genome assembly information of Monascus spp. included in this study.
2.2. ANI and WGA
Average nucleotide identity is a metric used to compare genetic relatedness of two genomes at the nucleotide level, particularly among strains that belong to the same species or a close phylogenetic clade (Yoon et al., 2017). The ANI values of Monascus genomes were calculated using fastANI (version 1.33) (Jain et al., 2018) with the parameter -fragLen set to 500 bp. The resulting ANI matrix was subjected to clustering analysis using the method of compete with squared Euclidean distance metrics in R. Minimap2 is a tool for fast and accurate pairwise alignment of nucleotide sequences. It can align short reads, long reads, assemble contigs, and complete genomes (Li, 2018). To perform assembly level alignments, we used minimap2 with the parameters -c, -cx, and asm5, and visualized the results using the R package pafr.
2.3. Genome annotation
Funannotate (version 1.8.14) (Palmer and Stajich, 2020) was used to perform genome cleaning, FASTA header sorting, repeat sequence masking, and gene prediction on Monascus assemblies. The reference protein sequences were collected by integrating the Funannotate protein models and the Monascus proteomes from UniProt. The weight of ab initio gene predictors, including Augustus, snap, glimmerHMM, and GeneMark-ES/ET, was set to 1:1:8:8.
2.4. Construction of Monascus pan-genome
The construction of Monascus pan-genome was implemented as follows. OrthoFinder (version 2.5.4) (Emms and Kelly, 2019) was used to perform all-against-all sequence similarity searches using Blastp among the predicted protein sequences generated by Funannotate. In the OrthoFinder workflow, orthogroups were generated with Markov Cluster Algorithm clustering method. OrthoFinder output files (Orthogroups folder) were used to extract the pan-genome (the total orthogroups across strains), core genome (orthogroups present at all strains), and accessory genome (orthogroups present at more than one strain but not all). The pan-genome’s gene presence-absence variation (PAV) matrix was then subjected to hierarchical clustering in R using the complete method and squared Euclidean distance metrics.
Two strategies were utilized to construct genome-wide phylogenetic trees based on orthologous proteins. The initial approach involved using the STAG algorithm, integrated within OrthoFinder (Emms and Kelly, 2018), with all orthologous protein sequences and default settings. For the second strategy, a species tree was constructed using SCOG protein sequences, which involved the following steps: (1) aligning the sequences in the OrthoFinder output folder (single_copy_orthologous) using muscle (version 5.1) (Edgar, 2004); (2) extracting conserved sequences with Gblocks5; (3) converted.fa format to.phy using MEGA (version 7) (Kumar et al., 2016); (4) predicting a suitable amino acid substitution model with ProtTest (version 3) (Darriba et al., 2011) and finally constructing the maximum likelihood phylogenetic tree with RAxML (version 8.2.12) (Stamatakis, 2014).
2.5. Functional gene annotation
2.5.1. Carbohydrate-active enzymes (CAZymes)
Carbohydrate-active enzymes (Cantarel et al., 2009) describes the families of structurally related catalytic and carbohydrate-binding modules (or functional domains) of enzymes involved in the synthesis and degradation of complex carbohydrates and glycoconjugates. To perform the CAZy annotation, a local dbCAN (Yin et al., 2012) was employed using HMMER (version 3.2.2) searching against a hidden Markov model database of CAZyme domains derived from CDD and CAZy (Potter et al., 2018).
2.5.2. Prediction of secreted proteins
Secreted proteins are proteins exported from the cell by a specific pathway. A secreted protein was defined in this study as a protein with a secretory signal peptide but no transmembrane domains, mitochondrial localization, or chloroplast localization. The prediction of secreted protein was as follows. To predict secreted proteins, we used SignalP6 (Teufel et al., 2022) to identify the presence and location of signal peptides in protein sequences, TMHMM (Sonnhammer et al., 1998) to predict transmembrane domains, and TargetP (Emanuelsson et al., 2007) to determine the subcellular localization of proteins based on their N-terminal sequence features and to provide a potential cleavage site.
2.5.3. Virulence factor annotation
Fungal VFDF database (Lu et al., 2012) describes the virulence factors in fungal pathogens that contains information on the genes, proteins, functions, mechanisms, and pathways of virulence factors from various fungal species that cause human and plant diseases. To perform VFDF prediction, all the proteins in the DFVF database were downloaded and aligned them with the secreted protein sequences using Blastp program.
2.5.4. Prediction of the BGCs of secondary metabolites
The BGCs of citrinin, MK, and the MonAzPs was identified and annotated using the tool antisMASH (Blin et al., 2021). The visualization of genetic cluster was implemented with R package genes.
2.5.5. Gene Ontology (GO) annotation and enrichment analysis
Gene Ontology annotation was performed using the online webtool eggnog-mapper6 (Cantalapiedra et al., 2021). GO enrichment and visualization were implement in Cytoscape (version 3.8.3) (Shannon et al., 2003) using BiNGO plugin (Maere et al., 2005).
Unless otherwise specified, a 40% sequence identity cutoff was used for protein functional annotation.
3. Results
3.1. Genome information and assessment of assembly quality
Fifteen representative genomic assemblies of the Monascus genus were downloaded from the NCBI assembly database7 and classified into three species, namely, M. ruber, M. pilosus, and M. purpureus (Table 1). The sizes of the assemblies ranged from 23.2 to 26.3 Mb, with GC contents varying from 45.23 to 49.43%. The BUSCO evaluation indicated that more than 95% of the 758 single-copy gene homologs were completely assembled in these genomes (Figure 1), indicating high quality of genome assembly (Manni et al., 2021).
Figure 1. BUSCO evaluation on the genome assembly quality (A) and ANI-based genomic relatedness among Monascus spp. (B).
To reannotate these fungal genome assemblies, the Funannotate script (Palmer and Stajich, 2020), a well-streamlined annotation tool, was used. The resulting annotations (Table 2) revealed that each genome encodes 8,103–9,030 genes, with an average protein length of 484.33–495.67 amino acids. Interestingly, the total number of genes encoded by the M. pilosus or M. ruber genomes was higher than 8,800, more than those of M. purpureus.
Table 2. Monascus annotation information.
3.2. ANI analysis
The whole-genome average nucleotide identity (ANI) is a reliable method to determine the genetic relatedness of two genomes and evaluate the boundaries between species with prokaryotic organisms from the same species typically showing 95% ANI among themselves (Jain et al., 2018). Recently, ANI analysis has also been used to assess relationships between eukaryotic genomes, such as yeasts (Lachance et al., 2020), microsporidia (de Albuquerque and Haag, 2023), and plankton species (Delmont et al., 2022). In this study, ANI analysis revealed that the 15 Monascus strains could be delineated into two distinct clades, the M. purpureus clade and the M. ruber-M. pilosus clade (Figure 1B). ANI values within each clade were greater than 99.86%, while those from different clades were less than 94.85%. Although 95% ANI is not yet accepted as the species boundary in eukaryotes, an ANI close to 100% suggested a high degree of overall genomic sequence identity and indicates that two genomes share a large proportion of similar DNA sequences.
3.3. Whole-genome alignment (WGA)
In contrast to ANI, which measures similarity of query genome fragments are to their homologous counterparts in the subject genome (Yoon et al., 2017), WGA focuses on predicting evolutionarily related sequence positions and identifying large-scale structural changes, such as duplications and rearrangements (Dewey, 2012). For WGA analysis in this study, the less fragmented genomes from three species with high assembly integrity were chosen, i.e., M. purpureus YY-1, M. pilosus YDJ2, and M. ruber KACC 46666. The remaining WGA analysis outputs were included in the Supplementary Material 1. Figure 2 illustrated the homologous regions that had undergone DNA translocation, rearrangement, or recombination, resulting in them being scrambled or inverted. Missing genome regions were represented by the gaps in the alignments, and Figures 2B, C clearly showed chromosome rearrangements. Genomes of M. ruber KACC 46666 and M. pilosus YDJ2 exhibited an incredibly strong collinearity, as shown in Figure 2A, with no significant genomic insertions, conversions, or translocations found in either strain, except for 5 fragment deletions and inversions. Conversely, numerous fragment inversions and DNA translocations were found between M. purpureus YY-1 and M. pilosus YDJ2, as well as M. purpureus YY-1 and M. ruber KACC 46666, resulting in low similarity and poor linear match. Distinct chromosomal rearrangement events were detected in chromosomes 1, 2, 5, 6, and 8 between M. purpureus YY-1 and M. ruber KACC 46666, while chromosome 1 of M. purpureus YY-1 was a fusion of the inverted Ct.4 of M. ruber KACC 46666 and the translocated Ct.10. Overall, WGA revealed that M. ruber KACC 46666 had better collinearity with M. pilosus YDJ2, and they were more closely related.
Figure 2. Whole-genome alignment on Monascus ruber KACC 46666, M. pilosus YDJ2 and M. purpureus YY1. (A) M. ruber KACC 46666 vs. M. pilosus YDJ2; (B) M. ruber KACC 46666 vs. M. purpureus YY1; (C) M. pilosus YDJ2 vs. M. purpureus YY1. The upper panel is the scatter diagram of genome collinearity and the lower panel describes the chromosome coverage. Other whole-genome alignments are supplied in Supplementary Material 1.
3.4. Monascus’ pan-genome
The pan-genome of Monascus spp. was constructed using OrthoFinder (Emms and Kelly, 2019). All proteins identified from the 15 genomes were used to infer orthologous protein clusters (orthogroups) (Figure 3A). With the addition of more genome assemblies, the core genome size decreased while the pan-genome size increased. The “open form” idea of Heap law (Kadiri et al., 2023) was reflected as more orthologous families were included in the analysis (Figure 3B). On the whole, the pan-genome encompassed 9,539 orthogroups, of which 6,683 (70.06%) had been converged as the core genome, while the remaining were variable and exhibited the PAV feature, which was an important source of genetic divergence and diversity, as well as having profound effects on phenotypic variations (Wang et al., 2014). Visualization of PAV and hierarchical clustering revealed that the 15 Monascus strains could be divided into two major groups, the M. purpureus clade and the M. ruber-M. pilosus clade (Figure 3C), consistent with ANI-based clustering.
Figure 3. Pan-genome of Monascus spp. (A) Total and core orthogroups along with the increase of Monascus genome number; (B) new and unique orthogroups; (C) visualization of PAVs and hierarchical clustering.
Furthermore, 277 orthogroups were found only in M. purpureus strains, while 546 were found only in M. pilosus-M. ruber strains marked by asterisk in Figure 3C. Using the unique orthogroups from the M. ruber-M. pilosus clade and the M. purpureus clade, we conducted GO enrichment analysis on each strain separately. However, the unique orthogroups associated with the M. purpureus clade did not enrich into any GO categories (corrected P > 0.05), indicating a more stochastic and discrete occurrence of these genes (Supplementary Material 2). In contrast, the M. ruber-M. pilosus clade’s unique genes were mainly involved in three categories: as shown in Figure 4 (1) Biological processes, such as transport and localization, stimulus response, cellular component organization, and regulation of cellular homeostasis; (2) Molecular functions, such as transport activities; (3) Cellular components, such as plasma membrane. Based on these findings, it can be concluded that the strains from M. ruber-M. pilosus clade had a stronger ability to transport and maintain cellular homeostasis than the strains from the M. purpureus clade, enabling them to better adapt to changing living environments.
Figure 4. GO enrichment of the unique orthogroups in M. ruber-M. pilosus clade. The analysis was based on the genome of M. ruber FWB13 (GCA_002976275.1) as a representative. Additional GO enrichment outputs of the other strains were available in Supplementary Material 2.
3.5. Phylogenetic analysis at the genome level
The phylogenetic relationships among the 15 strains in Monascus species were investigated using two different approaches (Figure 5). A. oryzae RIB40 was the only outgroup species included because both Aspergillus and Monascus belong to the Aspergillaceae family, and more distant outgroup taxa would likely further reduce the percent coverage of orthogroups present in all species. The first approach, STAG created a rooted phylogenomic tree using OrthoFinder, which utilized 5.565 single- and multi-copy orthologous protein sequences found in all the genomes (Figure 5A). The support values for each bipartition in a consensus STAG tree are the proportion of times that the bipartition is seen in each of the individual species tree estimates (Emms and Kelly, 2018). Meanwhile, the second approach, SCOG, employed RAxML to construct another phylogenetic tree using 4,589 single-copy orthologs (Figure 5B) by JTT + I + G + F amino acid substitution model. Node support was estimated with 1,000 bootstrap replicates.
Figure 5. Phylogenetic tree at genome level. (A) STAG tree with 5565 orthologous protein sequences; (B) SCOG tree with 4589 single-copy orthologous sequences.
The STAG phylogenetic tree identified two distinct binary clades with a support value of 100%, the M. purpureus clade and the M. ruber-M. pilosus clade (Figure 5A). Similarly, the SCOG tree demonstrated a comparable topology with a 100% support for these two clades (Figure 5B), indicating that species trees inferred from all orthologous proteins were as accurate as those inferred from single-copy orthologs. However, the SCOG tree showed significant advantages in supporting sub-branches due to higher support values. In the STAG tree, most of the nodes within both the M. purpureus and M. ruber-M. pilosus clades had low supports (<70%), which made the topology of the sub-branches unreliable. In contrast, only one node within the M. purpureus clade in the SCOG tree was unsound. Moreover, M. ruber FWB13 was a unique presence in the M. ruber-M. pilosus clade, forming a monophyletic group with four M. pilosus species but a paraphyletic group with the other two M. ruber species. This topology was also evident in the STAG tree, where M. ruber FWB13 occupied a similar phylogenetic position.
Overall, the phylogenomic trees based on these two approaches confirmed the results of ANI and PAV clustering as well as verifying the deduction from genome collinearity analysis.
3.6. Comparative functional genome within the Monascus species
To further compare the metabolic divergences among the 15 strains, the protein sequences of all strains were annotated with CAZy, and secretome. And the BGCs of second metabolite in the genome were identified and characterized.
3.6.1. CAZyme annotation
A total of 2,542 coding genes in these 15 genomes were annotated as CAZymes, including 246 auxiliary activity proteins (AAs), 172 carbohydrate-binding modules (CBMs), 15 carbohydrate esterases (CEs), 1,241 glycoside hydrolases (GHs), 846 glycosyltransferases (GTs), and 22 polysaccharide lyases (PLs). Compared to A. oryzae, Monascus showed a weaker carbohydrate utilization capacity due to the absence or fewer copies of CAZymes. Although Monascus species are able to use starch substrates, such as rice, for growth and metabolism, only α-amylase of GH13 family (EC 3.2.1.1, splitting the α-1,4 glycosidic linkages in amylose to yield maltose and glucose) was found, while β-amylases, which cleave β-maltose at the non-reducing end of starch, were absent in all genomes, as shown in Figure 6.
Figure 6. CAZY annotation of Monascus proteomes. Proteins of sequence identity < 40% were filtered.
Moreover, M. purpureus genomes contained more copies of endoglucanases (EC 3.2.1.4, GH5∼GH10) and β-1,3-glucosidase (EC 3.2.1.-, GH132) than M. ruber or M. pilosus. Endoglucanase is a cellulase family member that has a higher affinity for cellulose and also acts on xylan and mixed β- (1–3, 1–4)-glucan, while β-1,3-glucosidase catalyzes the hydrolysis of β(1→3)-glucosidic linkages in β(1→3)-d-glucan, which is the main constituent of fungal cell walls (Ramos and Malcata, 2011).
Auxiliary activity proteins family members, such as AA4 vanillin oxidase (VAO, EC 1.1.3.38) were only found in the M. purpureus genome. VAO is a fungal flavoenzyme that converts a wide range of para-substituted phenols and is the only known fungal member of the 4-phenol oxidizing subgroup of the VAO/PCMH flavoprotein family (Gygli et al., 2018).
In addition, GH5_16, GH78, and GH79 family members were only found in M. ruber-M. pilosus genomes. GH5_16 is an endo-1,6-β-galactanase (EC 3.2.1.164) that hydrolyzes 1,6-β-D-galactooligosaccharides with a polymerization degree of more than three and their acidic derivatives with 4-O-methylglucosyluronate or glucosyluronate groups at the non-reducing ends (Zhang et al., 2022). GH78 glycoside hydrolases hydrolyze α-L-rhamnosides (EC 3.2.1.40) and degrade flavonoid glycosides that are common in human diets and have important applications in food and medicine industries (O’Neill et al., 2015). GH79 glycoside hydrolases are widely distributed in eukaryotes such as fungi, plants, and animals as well as bacteria and their known members include β-glucuronidase (EC 3.2.1.31), baicalin β-glucuronidase (EC 3.2.1.167), and heparanase (EC 3.2.1.166) (Zhu and Tang, 2021).
3.6.2. Monascus’ secretome and allergen proteins
The “secretome” refers to the complete collection of proteins secreted by microorganisms that perform various functions such as digestion, signaling, and defense (Caccia et al., 2013). Notably, the top-ranked annotation items for Monascus covered carbohydrate transport and metabolism (G), post-translational modification, protein turnover, chaperones (O), and function unknown (S) (Figure 7A), including lipase, acid phosphatase, glycoside hydrolases, aspartic-type endopeptidase activity (GO:0004190), and protein hydrolysis serine-type endopeptidase activity (GO:0006508). Some secreted proteins allergenic, such as allergen (orthologous to CADAFLAP00008692), allergen Asp (orthologous to CADAFUBP00002039, Asp F4), allergen Asp F7 (orthologous to V5GFQ9). Of them, CADAFLAP00008692 is a putative allergen from A. flavus. Asp F4 is associated with allergic bronchopulmonary aspergillosis (Ramachandran et al., 2004), while Asp F7 from A. fumigatus is a peroxiredoxin, a major fungal allergen known for its function as a virulence factor candidate vaccine and reactive oxygen scavenger (Blanco-Ulate et al., 2013). Additionally, all 15 genomes had a defensive secreted β-lactamase, an enzyme that confers resistance to penicillins, cephalosporins, and monobactams (Livermore, 1998).
Figure 7. Monascus’ secretome (A) and fungal virulence proteins (B). Proteins of sequence identity < 40% were filtered.
Given the presence of allergens in secreted proteins and the food safety of Monascus products, these proteins were further annotated for fungal pathogens using the DFVF database. It’s worth noting that 35 secreted proteins (7.8% of total secretome) in Monascus were predicted to be involved in virulence and pathogenicity (Figure 7B). Among them, CARP_ASPFU had high identity ≥ 80% present in the genomes of M. pilosus, M. ruber (except KACC 46666), M. purpureus HQ1, M. purpureus YY-1, and M. purpureus YJX8. This protein is a secreted vacuolar aspartic endopeptidase with broad specificity for peptide bonds protein hydrolysis, and has an important function in allergen processing and causing various rare human infections such as lung aspergillosis and mycotic keratitis (Jehangir and Ahmad, 2004).
3.6.3. Secondary metabolic synthetic genetic cluster
Monascus azaphilone pigments, MK and citrinin are the most concerned metabolites produced by Monascus spp. and their primary structures are synthesized by type I polyketide synthase (T1PKS). According to antiSMASH search results, the BGC responsible for producing MonAzPs was found present in each genome (reference BGC: BGC0000027.1) (Chen et al., 2019; Figure 8A). Despite this, the MonAzPs BGC in M. purpureus was approximately 56 kb in length, whereas those in M. pilosus and M. ruber were 65 kb and had seven non-essential genes inserted into the gene cluster. The sequences of the 15 core genes from each BGC did not differ considerably from the reference sequence (identity > 90%, Supplementary Material 3).
Figure 8. Organization of the secondary metabolic synthetic genetic cluster. (A) MonAzPs BGCs; (B) citrinin BGCs; (C) MK BGCs. Negative coordinate values represent the reversed redirection of BGCs.
The reference citrinin BGC (BGC0001338) from M. ruber M7 contains 16 genes, including the essential genes citS (polyketide synthase), citA (serine hydrolase), citB [Fe(II) oxidoreductase], citC (oxidoreductase), citD (aldehyde dehydrogenase), and citE (short-chain dehydrogenase) (He and Cox, 2016). In this study, only eight M. purpureus strains had the complete citrinin gene cluster sequence (Figure 8B). Except for M. purpureus HQ1, the citrinin gene cluster size was approximately 42 kb, and the core gene cluster (total length of the key sequences responsible for citrinin synthesis) was around 20 kb. The gene cluster from M. purpureus HQ1 was split into two fragments, with citS-citA-citB-mrr3-citD-mrr5-citE-citC present in the contig of VIFY01000224.1 and mrr-8-mrr7-mrr6-mrr5-mrr-4-mrr3-mrr2 in VIFY01000166.1. Nevertheless, the sequence between these eight gene clusters and the reference gene cluster was highly conservative (identity > 95% for pairwise homologous genes). Additionally, several non-core genes, including mrr2, mrr3, mrr4, mrr5, mrr6, mrr7, and mrr8, were discovered in M. ruber and M. pilosus genomes, but all the core genes were absent (Supplementary Material 3).
The MK BGC, which typically contains nine genes (mokA to mokI) identified in BGC0000098 from M. pilosus based on sequence similarity (Zhang et al., 2020). In this study, the MK BGC was identified in seven genomes of M. ruber and M. pilosus, with a size of approximately 41 kb in M. ruber and 27 kb in M. pilosus. The gene sequences of the BGCs in M. ruber FWB13, M. ruber KACC 46666, M. ruber GA, and M. pilosus MS-1 were found to be highly similar to the reference BGC. M. pilosus YDJ1, M. pilosus YDJ2, and M. pilosus K104061 were isolated from commercial MK products and found to be capable of producing MK (Dai et al., 2021), but antiSMASH or BLAST searches revealed incomplete BGC sequences in their genomes. MokH was absent in M. pilosus K104061, and MokE was missing from M. pilosus YDJ1’s BGC. Furthermore, MokB and MokE from M. pilosus YDJ2, as well as MokD and MokI from M. pilosus YDJ1, were truncated compared to the other six homologous genes. These findings implied that MK synthesis might have diverged in different strains, and additional evidence for critical enzymes in MK synthesis was required in Monascus.
4. Discussion
Monascus species are widely found in various habitats such as soil, starch, grain, dried fish, surface sediments of rivers, and roots of pine trees (Mohan Kumari, 2009). Due to the production of MonAzPs and MK, these filamentous fungi are frequently used in food and medicine. However, the taxonomy of Monascus has long been a matter of confusion. The phenotype-based identification schemes in Monascus were difficult to match with the results obtained by ITS, partial LSU and/or β-tubulin gene sequencing (Patakova, 2013), especially in the case of single-gene locus-based phylogenetics. For example, Dai et al. (2021) inferred a Neighbor-Joining tree using ITS sequences, which revealed that several isolates from M. pilosus, M. fuliginosus, M. barkeri, M. paxii, M. albidulus, M. ruber, M. purpureus, and M. fumeus were evolutionarily close in the same clade with high bootstrap values. In another clade, several strains from M. purpureus, M. rutilus, M. aurantiacus, and M. kaoliang were clustered. Within these two main clades, the strain-level division was still vague due to the low support level.
To overcome inappropriate taxonomy of fungi caused by a single locus, the genealogical concordance phylogenetic species recognition concept (GCPSR) was proposed as an empirical method for recognizing cryptic speciation (Taylor et al., 2000). GCPSR involves sequencing multiple genes that are then combined in phylogenetic analyses. In a report conducted by He et al. (2020) a phylogenetic tree was constructed using concatenated sequences of five protein genes (BenA, CaM, RPB2, pksKS, and MAT1-1) and two ribosomal RNA genes (ITS and LSU) with a total length of 6,983 bp. Strains from M. ruber and M. purpureus were clustered into different species clades, respectively, with a high Bayesian analysis/bootstrap percentage. Unfortunately, M. pilous was not included in their phylogenetic analysis. In 2017, Patakova divided the Monascus spp. into section Floridani and Section Rubri by concatenated phylogeny based on the sequences of ITS + BenA + CaM + LSU + RPB2 with Bayes/RAXML method (Patakova, 2013). M. ruber, M. pilous and M. purpureus were all in the section Rubri, and M. purpureus was located in a separate subclade from M. ruber and M. pilous with high Bayes/RAXML support. M. ruber and M. pilous were clustered into the same evolutionary branch.
Recently, modern phylogenetic analyses utilize hundreds to thousands of sites from throughout the genome, which are orders of magnitude larger than traditional sequencing datasets. Thus, the size of these datasets significantly reduces the impact of random error and data availability, making them promising for addressing historically recalcitrant nodes in the tree of life. In this study, using the Monascus assembly deposits from the NCBI genome database, a genome-level phylogenetic analysis was conducted. These 15 genomes were predominantly descended from two clades, the M. purpureus clade and the M. ruber-M. pilous clade, from either the SCOG tree according to the concatenated phylogeny based on 4,589 single copy protein orthologs or the STAG analysis with all the 5,565 single-/multiple- copy protein orthologs. Both of the phylogenomic analysis strategies were reliable with 100% support values for the two major clades. Furthermore, evidence from the nucleic acid level was proposed to support this conclusion, including analyses of average nucleotide identity and genomic collinearity. In particular, there was considerable genomic collinearity between M. ruber and M. pilous, indicating a high degree of similarity between these two species, rather than with M. purpureus. However, genome collinearity analysis, which frequently relies on genome assembly quality, makes it difficult to distinguish between strains when using fragmented genome assemblies. Hence, it is essential to employ a combination of several methods from various perspectives for evaluating the similarity between genomes.
Through identification and characterization of the BGCs of Monascus, it was found that all genomes contain the MonAzPs BGCs. However, the citrinin BGCs were only discovered in M. purpureus, while the BGCs of MK were only present in M. pilosus and M. ruber. The production of the mycotoxin citrinin, was originally described in M. purpureus and M. ruber in Blanc et al. (1995). It was subsequently shown that the M. ruber used in that study was, in fact, M. purpureus (Chen et al., 2008) because the pksCT gene for citrinin polyketide synthase was only present in M. purpureus and M. kaoliang (a synonym for M. purpureus), but not in M. pilosus, M. ruber, M. floridanus, M. sanguineus, M. barkeri, or M. lunisporas. Despite this, citrinin production in M. ruber was later demonstrated by other authors (Li et al., 2010, 2021). However, whether or not this was due to incorrect strain classification requires additional validation. Another possibility is that this strain-specific citrinin synthesis might originate from a horizontal gene transfer of the BGC among fungi, because the citrinin pathway belongs to the general pathway shared by many Penicillium, Aspergillus, and Monascus species (Higa et al., 2020).
Additionally, when compared to the reference BGCs, the BGC sequences of MonAzPs and citrinin revealed the highest degree of conservation. Interestingly, seven additional inserted genes in the MonAzPs BGCs could well differentiate M. purpureus apart from M. pilosus or M. ruber. Furthermore, the BGCs of MK were more varied in M. pilosus but were conserved in M. ruber. Although this suggested that the three strain classes might be distinguished by divergence from the MK gene cluster sequence, further sequencing evidence from more strains is necessary to support this.
According to the findings of this study, the investigated Monascus species can be classified into two groups: the M. pilosus-M. ruber clade and the M. purpureus clade. This classification may have significant implications in Monascus-related industries. Typically, commercial Monascus products are divided into two categories, those intended for the production of MonAzPs for food coloring, and those for the production of MK, a secondary metabolite to lower cholesterol and treat hypolipidemia. Among them, M. purpureus is a prominent red-colored mold species (Yang et al., 2015), but a number of strains including M. purpureus, M. pilosus, M. sanguineus and M. ruber were reported to produce MK (Wen et al., 2020). This is confusing because it is unclear whether the synthesis of MK is due to individual differences among Monascus strains or incorrect classification, as the genome of all M. purpureus strains used in this study lacked the complete gene cluster for MK biosynthesis. Therefore, further identification of these strains at the phenotypic and genotypic levels is necessary. For example, in a recent study by Higa et al. (2020) the metabolite analysis based on liquid chromatography-mass spectrometry revealed significant differences in the MonAzPs and related metabolites produced by the three species (M. pilosus, M. ruber, and M. purpureus) in liquid media, despite M. ruber had similar biosynthetic and secondary metabolite BGCs to M. pilosus.
Moreover, genome-level analysis provides insights into metabolic differences among individual strains. Comparative genomic analyses showed that the genome size of M. purpureus was smaller than that of M. pilosus/M. ruber and had undergone significant gene losses, particularly in cellular transport and maintaining homeostasis, as a result of specialized adaptation to the environment. Compared to A. oryzae, Monascus also displayed gene losses in both enzyme species and quantities involved in carbohydrate metabolism, which might be due to strain degradation resulting from prolonged domestication of the starch-rich matrix (Dufossé, 2018). Furthermore, Monascus’ genomes were predicted to contain a number of secreted proteins that could act as allergens or be involved in virulence and pathogenicity, although they exhibit interindividual variability. One such protein is CARP_ASPFU, which is present in most of the genomes and has a high identity ≥ 80%, and may play a crucial role in processing or signaling to allergens, causing rare human infections such as lung aspergillosis and mycotic keratitis. Given the importance of food safety, it is necessary to confirm whether the toxins produced by particular Monascus strains are actually produced by gene expression or just exist in the genome.
5. Conclusion
In conclusion, Monascus is a widely consumed commodity strain due to its good coloring and health care efficacy. However, its taxonomic profile remains under debate and is difficult to classify using a single locus sequence alignment and comparison, as is the case with other fungi. This study utilized phylogenomics, which draws information from comparing entire or large portions of genomes, to gain more detailed insights into evolutionary relationships, as compared to traditional phylogenetic methods that rely on a smaller number of genetic markers. Our findings clearly demonstrate differences between M. purpureus and M. pilosus/M. ruber, as well as a high degree of similarity between the genomes of M. pilosus and M. ruber. By comparing the genomes of different Monascus strains, we were able to identify differences in metabolism for environmental adaptation, carbohydrate-active enzymes, secretome, fungal pathogens, as well as in secondary metabolite gene clusters. Genome-level research provides insights into the species classification of Monascus, and as the cost of genome sequencing decreases, this high-resolution phylogenetic method will become an important means for evaluating the safety of Monascus and other edible fungi.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary material.
Author contributions
ZZ, HL, and XL conceived and designed the study. ZZ, MC, PC, JL, ZM, YM, ZL, QG, and CW performed the data analysis. All authors wrote the manuscript and approved the final manuscript.
Funding
This research was supported by the National Key Research and Development Program of China (No. 2020YFA0908300), Tianjin Synthetic Biotechnology Innovation Capacity Improvement Projects (TSBICIP-PTJS-001, TSBICIP-PTJJ-007, and TSBICIP-KJGG-006), Innovation Fund of Haihe Laboratory of Synthetic Biology (No. 22HHSWSS00021), and the National Natural Science Foundation of China (No. 31800072).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1199144/full#supplementary-material
Supplementary material 1 | Whole-genome alignment on all the genomes from Monascus spp.
Supplementary material 2 | GO enrichment of the unique orthogroups in each Monascus genome.
Supplementary material 3 | Secondary metabolite synthetic genetic clusters in Monascus genome.
Footnotes
- ^ https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=5097
- ^ https://www.ncbi.nlm.nih.gov/data-hub/genome/?taxon=5097
- ^ https://www.ncbi.nlm.nih.gov/genome/?term=Monascus
- ^ https://busco-data.ezlab.org/v4/data/lineages/
- ^ http://phylogeny.lirmm.fr/phylo_cgi/one_task.cgi?task_type=gblocks
- ^ http://eggnog-mapper.embl.de/
- ^ https://www.ncbi.nlm.nih.gov/data-hub/taxonomy/tree/?taxon=5097
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Keywords: Monascus, phylogenetic analysis, taxonomic divergence, secondary metabolite gene clusters, pan-genome
Citation: Zhang Z, Cui M, Chen P, Li J, Mao Z, Mao Y, Li Z, Guo Q, Wang C, Liao X and Liu H (2023) Insight into the phylogeny and metabolic divergence of Monascus species (M. pilosus, M. ruber, and M. purpureus) at the genome level. Front. Microbiol. 14:1199144. doi: 10.3389/fmicb.2023.1199144
Received: 03 April 2023; Accepted: 09 May 2023;
Published: 25 May 2023.
Edited by:
Helianthous Verma, University of Delhi, IndiaCopyright © 2023 Zhang, Cui, Chen, Li, Mao, Mao, Li, Guo, Wang, Liao and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Huanhuan Liu, bGhfdHVzdEB0dXN0LmVkdS5jbg==; Xiaoping Liao, bGlhb194cEB0aWIuY2FzLmNu