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Proc Natl Acad Sci U S A. Mar 6, 2007; 104(10): 3901–3906.
Published online Feb 28, 2007. doi:  10.1073/pnas.0611691104
PMCID: PMC1805696
From the Cover
Evolution

Prospects for fungus identification using CO1 DNA barcodes, with Penicillium as a test case

Abstract

DNA barcoding systems employ a short, standardized gene region to identify species. A 648-bp segment of mitochondrial cytochrome c oxidase 1 (CO1) is the core barcode region for animals, but its utility has not been tested in fungi. This study began with an examination of patterns of sequence divergences in this gene region for 38 fungal taxa with full CO1 sequences. Because these results suggested that CO1 could be effective in species recognition, we designed primers for a 545-bp fragment of CO1 and generated sequences for multiple strains from 58 species of Penicillium subgenus Penicillium and 12 allied species. Despite the frequent literature reports of introns in fungal mitochondrial genomes, we detected introns in only 2 of 370 Penicillium strains. Representatives from 38 of 58 species formed cohesive assemblages with distinct CO1 sequences, and all cases of sequence sharing involved known species complexes. CO1 sequence divergences averaged 0.06% within species, less than for internal transcribed spacer nrDNA or β-tubulin sequences (BenA). CO1 divergences between species averaged 5.6%, comparable to internal transcribed spacer, but less than values for BenA (14.4%). Although the latter gene delivered higher taxonomic resolution, the amplification and alignment of CO1 was simpler. The development of a barcoding system for fungi that shares a common gene target with other kingdoms would be a significant advance.

Keywords: β-tubulin, cytochrome c oxidase I, DNA barcoding, internal transcribed spacer, species identification

The identification of species is a critical first step in all biological research. Correct identifications unlock the body of information known about each organism, its ecological roles, its physiological and biochemical properties, and its societal risks or benefits. Precise identifications of species have historically been the realm of taxonomic experts. Each taxonomic group has an attendant body of specialized literature and terminology that evolved to describe morphological characters so that species can be recognized by scientists skilled in the art. The rise of identification systems based on diversity in DNA sequences represents a significant advance. Because DNA methods use shared techniques and language, it is possible (at least in theory) for practitioners to correctly identify species from all kingdoms. As a consequence, the identification and enumeration of all organisms in any environmental setting is now a possibility.

An accurate, rapid, cost-effective, and universally accessible identification system is needed for fungi. Recent estimates suggest that 1.5 million species of fungi exist, but <10% are formally described (1). The frequent lack of distinctive morphological characters, the preponderance of microscopic species, and the considerable socioeconomic importance of this kingdom reinforce the need for a DNA-based identification system. Identifications of species with molecular techniques are now routine in some groups of fungi, but little attention has been paid to standardization. DNA-based systems for species of fungi have variously used a barcode-like 400- to 600-bp region of the nuclear large ribosomal subunit (2), the internal transcribed spacer (ITS) cistron (e.g., refs. 3 and 4), partial β-tubulin A (BenA) gene sequences (5), or partial elongation factor 1-α (EF-1α) sequences (6), and sometimes other protein-coding genes.

The concept of DNA barcoding proposes that effective, broad spectrum identification systems can be based on sequence diversity in short, standardized gene regions (79). To date, this premise has been tested most extensively in the animal kingdom, where a 648-bp region of the cytochrome c oxidase 1 (CO1) gene consistently delivered species-level resolution in more than 95% of taxa from test sets of different animal lineages (1012). The few cases of incomplete resolution involved closely allied species and were offset by the revelation of new species (13, 14). This success has now provoked several large-scale studies on animals to develop barcode libraries for complete taxonomic groups, such as birds and fishes (15). The effectiveness of DNA barcoding in animals raises the question of how universal a CO1-based system might be. Early work on marine algae (16) revealed that CO1-based systems are promising for this group. In contrast, this gene will be less effective for land plants because of their slower mitochondrial evolution, and efforts are underway to identify alternate gene regions that will deliver species-level resolution (1719). The potential effectiveness of CO1 in species identification of fungi has not yet been evaluated, and the present study represents a first step to address this gap.

There is limited but growing information on fungal mitochondrial genomes (20). Existing studies of complete fungal mitochondrial genomes reveal a potential complication to PCR-based surveys of CO1 sequence diversity, i.e., the prevalence of mobile introns (21). Therefore, we assessed the incidence and sizes of introns in the barcode region of CO1 from different fungal lineages, based on data in GenBank, to see whether their presence might lengthen target amplicons beyond what is easily recoverable by conventional PCR.

We also examined a second, more critical issue, i.e., the nature and extent of CO1 sequence diversity among closely related species of fungi. This analysis focused on species of Penicillium subgenus Penicillium (Trichocomaceae, Eurotiales, Eurotiomycetes, Ascomycota), a monophyletic group of moulds that represent 58 of the ≈250 accepted species in the genus Penicillium (22). The species of this subgenus include many sources of antibiotics, producers of mycotoxins, agents of plant disease and food spoilage, and beneficial species used in cheese manufacture [supporting information (SI) Dataset 1]. These species reproduce asexually and are phylogenetically related to (but independently named from) species with sexual states classified in Eupenicillium. The polyphasic species concept applied in the most recent monograph (23) used micromorphology, mycotoxin profiles, physiological tests (such as growth on diagnostic agar media), and ecological behavior. These species have not yet been subjected to the multilocus sequencing necessary to propose phylogenetic species concepts (24). Tests of ITS showed that it was insufficiently variable to reliably discriminate species (25). The more variable BenA was adopted as a species marker in some studies (5, 26) and is the only gene so far sequenced for all species of the subgenus. Despite its overall superior performance compared with the ITS, there are still several species complexes whose members cannot be distinguished by BenA sequences. This is one of the few parts of the fungal kingdom where phenotypically defined species diversity exceeds that revealed by molecular analysis. For these reasons, we consider subgenus Penicillium a robust test for CO1 barcoding.

This article begins with a broad-scale analysis of the structure of the CO1 gene region in fungi, with particular emphasis on intron position and size. We developed primers for amplifying CO1 from Penicillium species, and generated CO1 sequences for 58 species in subgenus Penicillium, as well as 12 allied taxa. Levels of inter- and intraspecific variation in CO1 within this subgenus were subsequently compared with variation in other genes and with variation in other groups of organisms.

Results

Coarse Scale Analysis.

Analyses of complete fungal CO1 sequences demonstrated that the length of this gene varied from 1,584 to 22,006 bp. This size variation largely reflected the varying number and length of introns; the coding region of CO1 varied from just 1,584 to 1,905 bp. These introns occurred at different positions in the CO1 gene, and from one to seven of these sites were in the region used for barcoding of animals. Fig. 1a shows that the representatives of some groups, such as the Oomycetes (fungus-like organisms now classified in the kingdom Straminipila), have no reported introns, whereas some fungal classes have as many as seven. For the Eurotiomycetes, which includes the family Trichochomaceae and the genus Penicillium, 0–2 introns were reported in the barcode region (27). The length of the introns also varies considerably (Fig. 1b), ranging from 134 bp to 3.1 kb. As a result, the barcode region potentially ranges from 642 bp in Hypocrea jecorina to 12.3 kb in Podospora anserina. Despite the few taxa available for analysis, the neighbor-joining dendrogram of CO1 divergences showed high cohesion for representatives of major fungal lineages. More significantly, the dendrogram revealed deep divergences between species in the seven genera where two or more species were analyzed (mean Kimura two-parameter percent divergence, 12.9 ± 1.2%; range, 0.6–34.8).

Fig. 1.
Number, size, and position of introns in CO1 of fungi and fungus-like Oomycota. (a) Neighbor-joining tree of 56 fungal species for which complete mitochondrial genomes and/or complete CO1 genes are available in GenBank. The tree is constructed with the ...

Fine Scale Analysis.

Forty-two species of Penicillium subgenus Penicillium had invariant CO1 sequences among all sequenced strains (Fig. 2). Fourteen species exhibited variation, namely P. aurantiogriseum (5 strains in 2 groups), P. nordicum (8/2), P. venetum (5/2), P. clavigerum (5/2), P. coprobium (5/2), P. coprophilum (5/2), P. expansum (5/3), P. glandicola (5/3), P. carneum (4/2), P. mononematosum (6/2, paraphyletic with the single strain of P. confertum), P. nalgiovense (5/3, paraphyletic with P. dipodomyis), P. vulpinum (6/2), P. atramentosum (7/4), and P. olsonii (5/2). For P. persicinum and P. formosanum, only single strains were available. Among the outgroup species, there was variation among strains of P. citrinum, P. spinulosum, and P. glabrum.

Fig. 2.
Neighbor-joining tree of 70 species and 354 isolates from the subgenus Penicillium and related species. The tree is constructed with 545 bp of CO1. Bracketed numbers represent the number of strains sequenced for each species.

Thirty-eight of the 58 species in subgenus Penicillium formed cohesive assemblages that had distinct CO1 sequences from all other species. Most cases of sequence sharing involved species complexes (4 complexes, a total of 17 species). The largest of these groups included the seven members of the P. aurantiogriseum complex (P. aurantiogriseum, P. cyclopium, P. freii, P. melanoconidium, P. neoechinulatum, P. polonicum, and P. viridicatum). The five members of the P. camemberti complex, consisting of that species and P. caseifulvum, P. cavernicola, P. commune, and P. palitans, also had identical CO1 sequences. Finally, the three members of the P. hirsutum complex (P. albocoremium, P. allii, and P. hirsutum) shared sequences, as did the two plant pathogenic species, P. radicicola and P. tulipae.

An 1,183-bp intron in Penicillium pinophilum KAS 1773 was amplified by PCR using PenF2 and PenR1. BLASTn searches on GenBank showed that a 682-bp stretch of this intron had 92% similarity with the CO1 intron of Penicillium marneffei [GI33860251 (27)]. Five segments varying from 51 to 114 bp had from 80% to 87% similarity with a CO1 intron of Aspergillus japonicus [GI4894617 (28)]. Another intron (≈1,100–1,200 bp) was detected in P. arenicola DAOM 229808 by using primers PenF1 and PenR2, but we were unable to obtain a complete sequence for it. An ≈150-bp segment of the single-stranded sequence had 90–94% homology with CO1 introns in four species of Aspergillus (A. oryzae, A. niger, A. tubingensis, and A. nidulans) and 88% similarity with P. marneffei.

Comparison with Other Candidate Markers.

Table 1 compares some key aspects of the sequence variation in three gene regions (BenA, ITS, and CO1) that we considered as the basis for a barcode system in Penicillium. These results indicate that both BenA and ITS show a high incidence of indels that complicate alignments within the subgenus, whereas no indels were detected in CO1. The taxonomic resolution of the regions varied, with BenA providing greater resolution than ITS or CO1 (SI Fig. 3).

Table 1.
Comparison of three potential markers for fungal DNA barcoding

Discussion

Past work has shown that fungal mitochondrial genomes have many introns and our analyses confirm that some occur within the barcode region of the CO1 gene. Based on their prevalence and size in fungal lineages, we anticipated that introns would regularly complicate PCR-based recovery of the target region of CO1 from Penicillium, but we encountered CO1 introns in only two Penicillium species. It is possible that members of subgenus Penicillium have an unusual scarcity of introns, but we note that introns have been revealed mostly through sequencing studies on whole mitochondrial DNA molecules harvested in bulk by density gradient centrifugation. Perhaps our failure to detect introns indicates that a small fraction of CO1 sequences are stripped of introns for part of their life cycle, providing templates that can be amplified by PCR. Some members of the Aspergillus niger complex, in the same ascomycete family as Penicillium, have mobile mitochondrial introns that might be excised from some copies (28, 29). Furthermore, many reports of mobile introns in the mitochondrial genomes of fungi originate from laboratory strains subjected to mutagenesis or protoplast fusion to provoke mitochondrial recombination and thus may not be representative of wild-type strains. A concentrated effort to PCR amplify and sequence introns where they are expected (i.e., Fig. 1b) would address this possibility. In addition, this would allow an assessment of the variation in the intronic regions among closely related species, to determine whether CO1 introns contain some phylogenetic signal and might themselves be useful species markers.

The CO1 data generated for Penicillium subgenus Penicillium resulted in species-specific sequences (invariant among the strains, or with some terminal branching within the species) for ≈2/3 of the species. There were four complexes of species where all strains either had identical sequences or only minor variations that were not species-specific. Our comparisons of the species-resolving power of CO1, BenA, and ITS are qualified by the few ITS studies available where multiple strains of Penicillium were sequenced. There are several closely related species assemblages where the results from CO1 and BenA are concordant. For example, the P. roqueforti complex includes three species that can easily be distinguished by BenA (5) and ITS (30), and with CO1. Similarly, the six fruit-pathogenic species of Penicillium all have unique CO1 barcodes and unique BenA sequences. However, there were other cases where CO1 did not discriminate lineages that could be distinguished with BenA, as discussed below.

The P. aurantiogriseum complex includes seven species. BenA distinguishes all except P. freii and P. neoechinulatum, although some of the other species are separated by only a few base differences. The results from ITS are unclear. Skouboe et al. (25) identified six nucleotide substitutions and one insertion among the ITS of the single strains of each species in this complex, but Peterson (31) found only one substitution in the ITS of four type strains. The virtually invariant CO1 sequences for this complex reveal less variation than either BenA or ITS but lend support to the conclusion of Pitt (32, 33) that many of these species should be considered synonyms of P. aurantiogriseum. The P. verrucosum complex presently includes three species, each with distinct BenA sequences, but no ITS data are available for two of the species. Of these three species, P. thymicola has a unique CO1 barcode. P. verrucosum and three strains of P. nordicum, both species producing the regulated mycotoxin ochratoxin A (OA), have identical CO1 barcodes. However, four P. nordicum strains emerge from this cluster, with their own unique barcode. Interestingly, this same dichotomy among P. nordicum strains is seen in BenA. Frisvad and Samson (23) considered designating this group as a distinct species from P. nordicum but did not describe it. The P. camemberti complex includes four species. There has been no ITS analysis of this complex, but BenA sequences distinguish the cheese contaminants P. commune and P. palitans but not the two cheese-producing species P. camemberti and P. caseifulvum. These latter two species are very similar, differing in metabolites and conidial color (white in P. camemberti, and grayish in P. caseifulvum). By contrast, CO1 sequences from all 22 strains of this complex were identical. There has been speculation that P. commune is the ancestral species of P. camemberti, which could then be considered a domesticated variant (23).

Our results suggest that a broader exploration of CO1 diversity in fungal lineages is justified. Our analysis of CO1 sequences from whole-genome studies indicates that sequence divergences in this gene are deep for fungi, mirroring the pattern seen in animals and protists rather than the shallower divergence seen in plants. Although introns large enough to complicate PCR-based approaches were prevalent in whole-mitochondria studies, we rarely encountered problems in recovering a PCR product for members of the subgenus Penicillium, perhaps reflecting the excision of introns from some portion of the mitochondrial molecules. However, even if introns prove common in other groups, alternate methodologies, such as reverse transcription PCR, could overcome their impact on amplicon size. Fungal BenA typically contains numerous introns (34), as do the 18S and 28S ribosomal genes that flank the ITS region and contain the priming sites for its amplification (35). A final factor supporting further work on CO1 is the simple demonstration of its effectiveness in discriminating species of Penicillium, a taxonomically challenging group of fungi. Sequence divergences were lower in CO1 than in BenA, but the difference in resolution was not dramatic and cases of compromised resolution invariably involved closely allied taxa. In mycological studies to date, phylogenetic species concepts (24) have been applied mostly to the exploration of species complexes rather than genera or subgenera. Further comparisons of CO1 with the level of variation detected in such multigene studies will be an important further test for this kind of barcode for fungi.

CO1 has two important attributes that favor its candidacy as a fungal barcode marker. First, CO1 sequences can be aligned with certainty across all fungal lineages, which facilitates development and vetting of data. Alignments for ITS and protein-coding genes such as BenA are often problematic, even within a single subgenus. Robust alignments mean that sequence information need not simply be the basis of an identification system but can also provide insights into rates of molecular or protein evolution. Sequencing errors, namely unexpected deletions or double bases, are also obvious. Second, many benefits, for both methodological and environmental applications, will arise if CO1 can be used as a core identification system for fungal, animal, and protist lineages. Although genetic minimalism and standardization are central principles of DNA barcoding, there is no proscription against employing additional genetic information to resolve identifications or questions of species boundaries. Diagnosticians know that a single assay rarely answers all questions, and the results of one standardized test often provoke a more specific test. If our results on Penicillium prove representative of those for other fungi, CO1 will deliver a reliable species identification for most taxa. When needed, its resolution can be augmented by the sequencing of other genes.

Materials and Methods

Coarse Scale Analysis.

We downloaded all complete CO1 genes (primarily from complete mitochondrial genomes) for Ascomycota (27) (mostly Saccharomycotina), Basidiomycota (5), Chytridiomycota (7), Zygomycota (3) (Eumycota), and Oomycota (14) (Straminipila) available in GenBank release 150 (November 2005). The sequences were cropped to the 648-bp barcode region: amino acids 19–234 of the bovine (Bos taurus) CO1 gene to allow for a determination of levels of sequence divergence. We then determined the position and size of introns within this gene region from annotations in the GenBank flat files. The taxonomic sample and GenBank accessions are given in SI Dataset 2 and are available in the public project “GenBank Fungi (CO1)” in the Barcode of Life Data System (www.barcodinglife.org).

Fine Scale Analysis.

To investigate CO1 variation at a finer scale, we concentrated on Penicillium subgenus Penicillium and some closely related species. Strains were obtained from several sources including the Canadian Collection of Fungal Cultures and Centraalbureau voor Schimmelcultures. Strains were grown on malt peptone broth by using 10% (vol/vol) of malt extract (Brix 10) and 0.1% (wt/vol) bacto peptone (Difco) in 2 ml of medium in 15-ml tubes. Growth conditions were 24°C for 7 d in darkness.

We included between 1 and 10 strains of the 58 species for which BenA sequences were analyzed by Samson et al. (5), including the three to four strains of each species included in that study, along with 12 additional species representing other subgenera of Penicillium or its sister genus Aspergillus. Although additional strains are available for some common, widespread species (e.g., P. chrysogenum, P. commune, P. crustosum, and P. expansum), in general our sampling in this subgenus exceeds that seen in most species-level studies in fungi. The taxonomic sampling, collection accessions, and GenBank accession numbers are given in SI Dataset 3 and are also available online in the public project “Penicillium subgenus Penicillium” in the Barcode of Life Data System. DNA was extracted for each strain by using the FastDNA kit (BIO 101) according to the manufacturer's instructions.

PCR primers were designed from a ClustalW alignment for the only three species of the family Trichocomaceae with CO1 sequences available from GenBank, Penicillium marneffei (GI33860251), a member of subgenus Biverticillium, and two species of Aspergillus, i.e., A. tubingensis (GI55925030, GI12751551) and A. niger (GI9971736, GI9957432, GI9957434, GI9957436). The conserved regions of interest were rather AT-rich. One forward primer (PenF1, 5′-GACAAGAAAGGTGATTTTTATCTTC) was anchored at site 104 (numbering relative to the intron-free mRNA CO1 sequence from P. marneffei). Two reverse primers were anchored at site 674, one designed to match P. marneffei (PenR1, 5′-GGTAAAGATAATAATAATAACACTGCTG) and the other to match the Aspergillus species (reverse primer AspR1 5′-GGTAATGATAATAATAATAATACAGCTG). Two sequencing primers were positioned at site 410 (PenF2 5′-TWAGTTTCTGATTATTAGTACCTAGTTT) and its reverse complement (PenR2 5′-AAACTAGGTACTAATAATCAGAAACTWA), between two sites noted to have introns in the CO1 sequence of P. marneffei.

We tested the performance of PenF1 with both PenR1 and AspR1 in PCR amplifications using genomic DNA isolated from ten species of the family Trichocomaceae, namely Aspergillus flavus DAOM 144287, A. puniceus 03_892_6O, Paecilomyces variotii KAS1238, Penicillium arenicola DAOM 229808, P. dendriticum DAOM 233861 (subgenus Biverticillium), P. digitatum DAOM 226855 (subgenus Penicillium), P. italicum DAOM 226891 (subgenus Penicillium), P. paxilli DAOM 233863 (subgenus Furcatum), P. pinophilum KAS1773 (subgenus Biverticillium) and P. spinulosum KAS1780 (subgenus Aspergilloides). Preliminary PCR amplications using PenF1 and PenR1 were sporadically successful, whereas amplications using AspR1 had a 100% success rate. This reflects the fact that the species of Aspergillus used to design the primers, A. niger and A. tubingenense, are phylogenetically more closely related to Penicillium subgenus Penicillium than is P. marneffei, which is related to the subgenus of Penicillium with Talaromyces sexual states (36).

Amplification, sequencing, and sequence analysis closely followed standard methods (37). PCRs were performed in 11.5-μl volumes containing 8.25 μl of PCR-grade water, 1.75 μl of 10× PCR buffer (New England BioLabs), 0.625 μl of MgCl2 (50 mM), 0.125 μl of each primer (10 μM), 0.0625 μl of dNTPs (10 mM), 0.0625 μl of Taq polymerase (5 units/μl), and 1.0 μl of DNA extract. The cycling conditions were an initial step of 3 min at 95°C, 35 cycles of 60 s at 95°C, 45 s at 56°C, and 90 s at 72°C, followed by 10 min at 72°C. The primers PenF1 and AspR1 were used to amplify a 545-bp fragment of CO1 for all samples.

PCR products were directly sequenced with the same primers in 10-μl reactions containing 5 μl of 10% trehalose, 1.875 μl of 5× sequencing buffer, 1.0 μl of primer (10 μM), 0.875 μl of PCR-grade water, 0.25 μl of BigDye v3.1 terminator mix (Applied Biosystems), and 1.0 μl of PCR product. Primers PenF2 or PenR2 were also used when an intron was found. The cycling conditions were an initial step of 2 min at 96°C, followed by 30 cycles of 30 s at 96°C, 15 s at 55°C, and 4 min at 60°C. Sequencing reactions were performed in both directions by using the PCR primers. Sequencing products were purified with Sephadex G-50 (Sigma) columns in multiscreen HV filter plates (Millipore) and then run on an Applied Biosystems 3730 DNA analyzer. Resultant sequences were assembled, edited, and aligned in Seq-Scape V.3.0 (Applied Biosystems) before being uploaded to the Barcode of Life Data System.

Comparison with Other Candidate Markers.

We downloaded BenA and ITS sequences from GenBank, if available, for the 70 species that were investigated for CO1. Only sequences >300 bp in length were retained for analysis. In total, 249 sequences of BenA (for 64 species) and 282 sequences of ITS (for 49 species) were downloaded, aligned by using ClustalW with BioEdit (38), and analyzed in MEGA3 (39). For all analyses, nucleotide-sequence divergences and dendrograms were calculated with the neighbor-joining algorithm and the Kimura two-parameter model; the performance of this method is comparable with other techniques when distances are low (40) and large species assemblages are analyzed (41).

Supplementary Material

Supporting Information:

Acknowledgments

We thank P. Mackie, S. Kirk, N. Ivanova, S. Ratnasingham, J. Topan, P. Marquardt, and A. Holliss for technical assistance, and Young Ah Jeon and the Korean Agricultural Culture Collection for supplying additional DNA isolates. This work was supported by the Gordon and Betty Moore Foundation, a Natural Sciences and Engineering Research Council Research Networks grant, and Genome Canada through the Ontario Genomics Institute.

Abbreviation

ITS
internal transcribed spacer.

Footnotes

The authors declare no conflict of interest.

Data deposition: The sequences reported in this paper have been deposited in the GenBank database (accession nos. EF180096EF180449).

This article contains supporting information online at www.pnas.org/cgi/content/full/0611691104/DC1.

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