Literature DB >> 28303400

Two new species of the Fusarium fujikuroi species complex isolated from the natural environment.

Tarek A A Moussa1,2,3, Hassan S Al-Zahrani1, Naif M S Kadasa1,2, Sarah A Ahmed4,5, G Sybren de Hoog2,4,6, Abdullah M S Al-Hatmi7,8,9.   

Abstract

Two new species in the Fusarium fujikuroi species complex (FFSC) are introduced. One of these, represented by strain CBS 454.97 was isolated from plant debris (Striga hermonthica) in the Sudan, while the second, represented by strains CBS 119850 and CBS 483.94, which originated from soil in Australia. Molecular analyses were performed including TEF1 spanning 576 bp region, 860 bp region of rPB2, and 500 bp BT2 region. Phylogenetic trees based on these regions showed that the two species are clearly distinct from all known taxa in the F. fujikuroi species complex. Based on phenotypic, physiological characters and molecular data, we introduce Fusarium sudanense and Fusarium terricola as novel species in the complex.

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Keywords:  Fusarium; Molecular phylogeny; Morphology; Saprobe

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Year:  2017        PMID: 28303400      PMCID: PMC5427105          DOI: 10.1007/s10482-017-0855-1

Source DB:  PubMed          Journal:  Antonie Van Leeuwenhoek        ISSN: 0003-6072            Impact factor:   2.271


Introduction

Fusarium is a large and variable genus with nearly 300 recognized species occurring worldwide in a diversity of habitats. Particularly in plant pathology, species have extensively been studied because of their opportunism on numerous hosts, among which are economically important crops. For example, many formae speciales have been reported in F. oxysporum and relatives (Ordonez et al. 2015) as etiologic agents of plant diseases. Some species seem to have a narrow host range or may even be host-specific, such as Fusarium ficicrescens that has as yet only been found on figs (Al-Hatmi et al. 2016a). Members of the genus are increasingly observed as agents of human infection (Al-Hatmi et al. 2016b). A further significant property is their production of mycotoxins, especially in Fusarium species that occur in association with farm animals receiving cereal-based diets (de Nijs et al. 1997). Typically, most species are soil-borne, causing diseases in seedlings or weakened plants (Watanabe 2013). Fusarium is a common mould in the environment and different environmental factors, such as moisture, temperature, nutrients and other ones appear to be of great importance for colonization of a wide diversity of substrates and ecological niches (Smith 2007). Geographical factors including climate are of prime importance for the diversity of Fusarium species (Summerell et al. 2010; Karim et al. 2016). Strictly saprobic Fusarium have received less attention, though they are widely distributed in natural habitats, notably in soil, where they might have a role in the turnover of organic matter (Karim et al. 2016). However, saprobic strains may become opportunistic upon availability of a susceptible host (Rep et al. 2005). Furthermore, given the widespread occurrence of Fusarium in the environment, it seems reasonable to hypothesize also that pathogenic forms of Fusarium may have evolved from non-pathogenic ancestors (Alves-Santos et al. 1999). Thus, many Fusarium species with importance to environment, agriculture and human health have a reservoir in soil, and their infections in a wide range of plants (Wakelin et al. 2008), animals (O’Donnell et al. 2016) and humans (Al-Hatmi et al. 2016b) are regarded to be of an opportunistic nature. The Fusarium fujikuroi species complex (FFSC) is one of the larger groups within the genus Fusarium with various ecologies (Nirenberg and O’Donnell 1998; O’Donnell et al. 2000; Al-Hatmi et al. 2015). Studies suggested that with the use of molecular data more than 50 phylogenetic species within the fujikuroi complex might be recognized (O’Donnell et al. 2015). Recently, Herron et al. (2015) described eight more species in the fujikuroi complex from stem cankers and branches of Pinus plants. Laurence et al. (2015) added three additional species from Australian natural forests, Al-Hatmi et al. (2016a) described F. ficicrescens from figs in Iran and Edwards et al. (2016) published F. agapanthi as a novel plant pathogen from Australia and Italy. Recent and historical ecosystem surveillance in Australia has resulted in the discovery of novel Fusarium species including F. aywerte, F. babinda, F. beomiforme, F. burgessii, F. coicis, F. gaditjirri, F. goolgardi, F. lyarnte, F. mundagurra, F. nurragi, F. newnesense, F. nygamai, F. tjaetaba, F. tjaynera and F. werrikimbe (Laurence et al. 2015). This number has increased to 16 species with the recent description of F. agapanthi above (Edwards et al. 2016). In the present study, the taxonomic status of all available strains of the F. fujikuroi species complex was verified using a polyphasic approach. The resultant data show that some isolates represent two new Fusarium species, for which we propose the names Fusarium terricola for a species isolated from Australia and Fusarium sudanense that was isolated in Sudan.

Materials and methods

Strains

Three strains in the reference collection of Centraalbueau voor Schimmelcultures (housed at Westerdijk Fungal Biodiversity Institute), previously identified morphologically as F. nygamai, were analyzed and compared with all available members of the F. fujikuroi species complex. Two of these strains (CBS 119850 and CBS 483.94) were isolated from soil in Australia, while an additional strain (CBS 454.97) originated from Striga hermonthica. The latter strain was included in a multilocus molecular phylogenetic analysis as Fusarium sp. NRRL 26793 as a distinct clade (Herron et al. 2015; Laurence et al. 2015).

Morphology

Colony characteristics and growth morphology were studied by inoculating the isolates onto plates of Malt Extract Agar (MEA; Oxoid, U.K.), Oatmeal Agar (OA; home-made at CBS), Potato Dextrose Agar (PDA; Oxoid), Synthetic Nutrient Agar (SNA; CBS) (Nirenberg 1976) and carnation leaf agar (CLA; CBS) (Leslie and Summerell 2006). Cultures were grown under 12 h light–dark (l/d) cycles with UV and daylight colour fluorescent lights at 24 °C. Morphological characters examined included the shape and size of macroconidia produced in sporodochia on Carnation Leaf Agar (CLA) (Fisher et al. 1982), the shape and mode of formation of microconidia on CLA and SNA (Nirenberg 1976), the production of chlamydospores on CLA, and pigmentation of the agar on Potato Dextrose Agar (PDA). Microscopic slides were prepared for each isolate by mounting structures in lactic acid and the slides were made from cultures grown on CLA plates which were observed after 5 days of incubation at 24 °C. Slides were examined with a Nikon Eclipse 80i light microscope, and pictures were taken using a camera attached to the microscope (Nikon; digital-sight DS-5M). A minimum of 10 measurements per structure were taken and the average was calculated.

Growth rate

Cardinal growth temperatures were determined on MEA and PDA plates incubated in the dark for 2 weeks at temperatures of 18–40 °C at intervals of 3 °C; with two replicates for each isolate. Average growth rates per species were calculated and expressed as diametric growth per 24 h.

DNA amplification and sequencing

The following partial genes were amplified directly from genomic DNA for multilocus sequence typing: elongation factor 1 alpha (TEF1) (O’Donnell et al. 2010), the second largest subunit of RNA polymerase (rPB2) (Reeb et al. 2004), and β-tubulin (BT2). PCR amplification and sequencing were performed according to the protocol applied by Al-Hatmi et al. (2016a).

Phylogenetic inference

To confirm the identity of our presumed new Fusarium species, we evaluated their position in Bayesian phylogenetic and RAxML trees of the following individual gene markers (BT2, TEF1 and rPB2). In these analyses, our sequences, together with sequences retrieved from GenBank were analysed (Table 1). Sequences were aligned with MAFFT (www.ebi.ac.uk/Tools/msa/mafft/), followed by manual adjustments with MEGA v6.2 and BioEdit v7.0.5.2. A single alignment was constructed for TEF1 and BT2 and rPB2. The analysis included 58 sequences for TEF1, 50 sequences for BT2 and 32 sequences for rPB2. The best-fit model of evolution, determined by MEGA v6.2, was used to infer the appropriate substitution model that would best fit the model of DNA evolution for each sequence data set. Maximum likelihood (ML) and Bayesian inference (BI) analyses were used to estimate phylogenetic relationships. ML analysis was performed with RAxML-hpc v7.0.3 (Stamatakis et al. 2005; Stamatakis 2006) with a K2+G model of evolution for TEF1, BT, rPB2 and the combined data. Nodal support was determined by nonparametric bootstrapping (BS) with 1000 replicates. BI analysis was performed in a likelihood framework as implemented in mrbayes v3.0b4 to reconstruct phylogenetic trees (Huelsenbeck and Ronquist 2001). Multiple Bayesian searches using Metropolis-coupled Markov chain Monte Carlo sampling were conducted. One cold and three heated Markov chains were used in the analysis. Analyses were run for 10 million generations, with trees sampled every 1000 generations. The first 25% of the trees, which represented the burn-in phase of the analysis, were discarded. The remaining trees were used for calculating posterior probabilities (PP) of recovered branches (Larget and Simon 1999) in the 50% majority rule consensus tree. Sequences included in this study were supplemented with those from GenBank Fusarium oxysporum was used as outgroup and the GenBank accession numbers for the three strains are shown in Table 1.
Table 1

GenBank accession numbers of the F. fujikuroi species complex used in phylogenetic analysis of F. terricola and F. sudanense

SpeciesCollectionβ-tubulinTEF1αRPB2Reference
F. acutatum NRRL 13308U34431AF160276(CBS402.97)/KT154005Scauflaire et al. (2011), Al-Hatmi et al. (2016a)
F. agapanthi NRRL 54465KU9006361KU9006311KU9006261Edwards et al. (2016)
F. andiyazi CBS 119857KP662894KP662901CBS 119857/KT154004Al-Hatmi et al. (2016a)
F. anthophilum NRRL 13602U61541AF160292(CBS222.76)/KT154006Scauflaire et al. (2011), Al-Hatmi et al. (2016a)
F. bactridioides NRRL 20476U34434AF160290Scauflaire et al. (2011)
F. begoniae NRRL 25300U61543AF160293Scauflaire et al. (2011)
F. brevicatenulatum NRRL 25446U61623.1AF160265Scauflaire et al. (2011)
F. bulbicola NRRL 13618U61546AF160294KF466404Scauflaire et al. (2011), Proctor et al. (2013)
F. circinatum NRRL 25331U61547AF160295JX171623Scauflaire et al. (2011), O’Donnell et al. (2013)
F. coicis RBG 5368KP083251KP083274Laurence et al. (2015)
F. concentricum NRRL 25181U61548AF160282Scauflaire et al. (2011)
F. denticulatum NRRL 25302U34453.1AF160271Scauflaire et al. (2011)
F. dlaminii NRRL 13164U34430AF160277Scauflaire et al. (2011)
F. ficicrescens CBS 125178KP662896KP662899KT154002Al-Hatmi et al. (2016a)
F. fracticaudum CMW: 25245KJ541051KJ541059Herron et al. (2015)
F. fractiflexum NRRL 28852AF160315AF160288Scauflaire et al. (2011)
F. fujikuroi NRRL 13566U34415AF160279EF470116Scauflaire et al. (2011), O’Donnell et al. (2007)
F. globosum NRRL 26131U61557AF160285KF466406Scauflaire et al. (2011), Proctor et al. (2013)
F. guttiforme NRRL 22945U34420AF160297JX171618Scauflaire et al. (2011), O’Donnell et al. (2013)
F. inflexum NRRL 20433U334435AF8479JX171583Scauflaire et al. (2011), O’Donnell et al. (2013)
F. konzum MRC 8544EU220234EU220235Scauflaire et al. (2011)
F. lactis NRRL 25200U61629AF160272KM582794Scauflaire et al. (2011), Triest et al. (2015)
F. mangiferae NRRL 25226U61561AF160281JX171622Scauflaire et al. (2011), O’Donnell et al. (2013)
F. marasasianum CMW: 25261KJ541054KJ541063Herron et al. (2015)
F. mudagurra RBG 5717KP0832561KP0832761Laurence et al. (2015)
F. musae NRRL 28893FN545374FN552092FN552114Van Hove et al. (2011)
F. napiforme NRRL 13604U34428AF160266EF470117Scauflaire et al. (2011), O’Donnell et al. (2007)
F. nygamai NRRL 13448U34426AF160273EF470114Scauflaire et al. (2011), O’Donnell et al. (2007)
F. parvisorum CMW: 25267KJ541055KJ541060Herron et al. (2015)
F. pininemorale CMW: 25243KJ541049KJ541064Herron et al. (2015)
F. phyllophilum NRRL 13617U34432AF160274KF466410Scauflaire et al. (2011), Proctor et al. (2013)
F. proliferatum NRRL 22944U34416AF160280JX171617Scauflaire et al. (2011), O’Donnell et al. (2013)
F. pseudoanthophilum NRRL 2520U61631AF160264Scauflaire et al. (2011)
F. pseudocircinatum NRRL 22946U34453AF160271Scauflaire et al. (2011)
F. pseudonygamai NRRL 13592U34421AF160263Scauflaire et al. (2011)
F. ramigenum NRRL 25208U61632AF160267KF4664121Scauflaire et al. (2011)
F. sacchari NRRL 13999U34414AF160278JX171580Scauflaire et al. (2011), O’Donnell et al. (2013)
F. sororula CMW: 40578KJ541057KJ541067Herron et al. (2015)
F. subglutinans NRRL 22016U34417AF160289JX171599Scauflaire et al. (2011), O’Donnell et al. (2013)
F. succisae NRRL 13613U34419AF160291Scauflaire et al. (2011)
F. sudanense CBS 454.97KU603909KU711697KU604266This study
F. sterilihyphosum CML 283DQ445780DQ452858Scauflaire et al. (2011)
F. temperatum MUCL 52436HM067692HM067684Scauflaire et al. (2011)
F. terricola CBS 483.94KU603908KU711698KU604267This study
F. terricola CBS 119850KU603907KU711699KU604268This study
F. tjaetaba RBG 5361KP083263KP083275Laurence et al. (2015)
F. thapsinum NRRL 22045U34444AF160270JX171600Scauflaire et al. (2011), O’Donnell et al. (2013)
F. udum NRRL 22949U34433AF160275Scauflaire et al. (2011)
F. verticillioides NRRL 22172U34413AF160262EF470122Scauflaire et al. (2011), O’Donnell et al. (2013)
Fusarium sp.NRRL 26756AF1603071O’Donnell et al. (2000)
GenBank accession numbers of the F. fujikuroi species complex used in phylogenetic analysis of F. terricola and F. sudanense

Results

Using the BLAST similarity search (performed on January 15 2017), the TEF1 region of the strain CBS 454.97 showed 99% (546/547 bp) similarity to F. andiyazi strain F16 (JX307409.1) which appears to be wrongly labeled in GenBank. Another closely related strain was Fusarium sp. NRRL 26793 with 99% similarity. Further comparison using the FUSARIUM ID database (http://isolate.fusariumdb.org) (Geiser et al. 2004) revealed Gibberella fujikuroi species complex (GFSC) NRRL 26793 with 99.83% identity, while the Fusarium MLST database (http://www.cbs.knaw.nl/fusarium) (O’Donnell et al. 2010) yielded F. nygamai with 99.82% similar to NRRL 26793 (AF160309). CBS 119850 and CBS 483.94 showed a similarity of 100% with F. andiyazi strain F16 (JX307409.1) in GenBank, G. fujikuroi species complex (GFSC) with 98.93% similarity in FUSARIUM ID, and NRRL 26793 Fusarium sp. with 98.9% similarity in Fusarium MLST. Using a BLAST similarity search, the rPB2 region of strain CBS 454.97 (KU604266) showed 99% (791/794 bp) similarity to F. nygamai (FRC M-7492 = KF466408.1), the next closest taxon was a strain of F. nygamai (PUF025 = HQ423219.1) with 99% similarity (788/794 bp). The rPB2 sequence of CBS 483.94 and CBS 119850 (= KU604268) shared 99% similarity (785/791 bp) with F. nygamai (FRC M-7492 = KF466408.1) in GenBank, G. fujikuroi species complex (GFSC) with 98.74% similarity in FUSARIUM ID, and F. nygamai (CBS 749.97) with 98.74% similarity in Fusarium MLST. The different indication of the species complexes, either with Gibberella or with Fusarium, is due to the use of either the name of the sexual or the asexual morph, respectively; at present the name Fusarium is preferred over Gibberella and hence the same species complex is now known as FFSC. For further understanding of relations between species, a phylogenetic tree was constructed for each locus separately, i.e. TEF1, BT2, and rPB2. In each single tree of BT2, rPB2 and TEF1 separately, strains CBS 119850 and CBS 483.94 from soil in Australia, and an additional strain CBS 454.97 from plant debris in Sudan were found to form a monophyletic clades supported by a high bootstrap values (Figs. 1, 2, 3).
Fig. 1

Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 58—TEF1 sequences, 576 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum CBS 132475

Fig. 2

Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 50—BT2 sequences, 500 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum F. oxysporum CBS 132475

Fig. 3

Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 32—RPB2 sequences, 860 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum CBS 132475

Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 58—TEF1 sequences, 576 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum CBS 132475 Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 50—BT2 sequences, 500 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum F. oxysporum CBS 132475 Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 32—RPB2 sequences, 860 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum CBS 132475 The TEF1 dataset comprising 58 sequences consisted of 53 taxa with 576 characters, from which 202 were variable, 111 parsimony-informative and 91 were singletons. Phylogenetic analyses of 50 sequences of BT2 resolved the phylogenetic positions of the two novel taxa in relation to the currently recognised monophyletic species in the F. fujikuroi species complex used in the current analysis (Figs. 1, 2). The BT2 dataset comprising 50 sequences consisted of 48 taxa with 500 characters, from which 129 were variable, 70 parsimony-informative and 58 were singletons. In our study, we were able to cover all taxa which have rPB2 sequences retrieved from the GenBank. We used 32 sequences retrieved from GenBank representing 28 species of the fujikuroi complex. Ribosomal polymerase B2 (rPB2) is one of the most informative gene fragments and resolves taxonomy at or near the species-level in Fusarium, but its drawback is that fewer sequences are available in GenBank. The alignment of rPB2 sequences had a length of 800 nucleotides when the outgroup was included; 175 were variable, 104 parsimony-informative and 71 were singletons. The combined TEF1 and rPB2 alignment for 28 species consisted of 32 sequences each with 1411 characters; the ML/BI tree is shown in Fig. 4. The analysis indicated that the isolates (CBS 454.97) and (CBS 119850 and CBS 483.94) form distinct clades separated from other species of fujikuroi complex and these two clades have support (75% BS and 0.8 PP); for CBS 454.97, and (99% BS and 1 PP) support for (CBS 119850 and CBS 483.94 respectively) (Fig. 4). Bayesian and maximum likelihood phylogenetic trees constructed with rPB2 sequences of available strains appeared well-resolved. All clades had statistical support between 60–100% and all species were well separated. Intraspecific polymorphism within the species clusters was observed with BT2, TEF1 and rPB2. Overall topologies of the trees were similar to those described previously for the FFSC (Al-Hatmi et al. 2016c).
Fig. 4

Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 32—TEF1 + RPB2 sequences, 1411 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum CBS 132475

Phylogenetic tree generated by Bayesian inference (BI) and maximum likelihood (ML) trees from 32—TEF1 + RPB2 sequences, 1411 characters, 10,000,000 generations, 4 mcmc runs. Numbers on the branches are Bayesian posterior probabilities (PP), percentages of 1000 bootstrap-replications of MEGA6-maximum likelihood (PP/ML). The tree was rooted with the two strains F. oxysporum CBS 132475

Taxonomy

Fusarium terricola Al-Hatmi, S.A. Ahmed and de Hoog, sp. nov.—Fig.5. MycoBank MB 816188.
Fig. 5

Morphological description of Fusarium terricola CBS 483.94. a–b Growth on MEA agar, front pinkish white, reverse orange; c Sporodochia; e–f Branching polyphialides. g–h Short monophialides; i Microconidia; j Septate macroconidia. Scale bar 10 µm

Morphological description of Fusarium terricola CBS 483.94. a–b Growth on MEA agar, front pinkish white, reverse orange; c Sporodochia; e–f Branching polyphialides. g–h Short monophialides; i Microconidia; j Septate macroconidia. Scale bar 10 µm Etymology: terri cola means soil-loving, referring to the fungus’ apparently preferred habitat. Holotype: dried specimen in herbarium CBS H-22548; living ex-type strain CBS 483.94, isolated from desert soil, Queensland, Australia. Description based on CBS 483.94 on MEA and CLA growing in the dark at 27 °C after 7 days. Colonies growing rapidly, attaining 50 mm diam. Obverse aerial mycelium cottony, initially white and later becoming pinkish to purple on MEA (Fig. 5). Reverse pinkish-orange to darker purple. Sporodochia seen after 7 days of incubation as pale orange spots on pieces of carnation leaf placed on CLA. Sporulation on SNA starting early in aerial mycelium and later on agar surface. Aerial conidiophores in darkness mostly prostrate, simple to sparsely branched, but some erect and branching sympodially or verticillately, resulting in a complex tree-like morphology (Fig. 5d). Conidiophores 90–100 μm; conidiogenous cells are mostly polyphialidic. Conidia produced mostly on phialides formed directly on substrate hyphae (Fig. 5g, h). Monophialides 10.0–14.5 × 3–5 μm, ellipsoidal, tapered towards the apex with minute basal frill. Microconidia ovoidal, 5.7–4.2 × 1.8–2.4 μm. Macroconidia abundant, 24.0–31.9 × 5.6–6.0 μm, 2–5 septate, falcate, with a beaked apical cell and a foot-like basal cell (Fig. 5j). Chlamydospores absent. Fusarium sudanense S.A. Ahmed, Al-Hatmi and de Hoog, sp. nov.—Fig. 6. MycoBank MB 816189.
Fig. 6

Morphological description of Fusarium sudanense CBS 454.97. a–b Growth on MEA agar, front pinkish white, reverse orange; c–d single, verrucose chlamydospore on the tip of hyphae; e–i Short monophialides with false head and microconidia; j Microconidia, abundant and ovoidal. Scale bar 10 µm

Morphological description of Fusarium sudanense CBS 454.97. a–b Growth on MEA agar, front pinkish white, reverse orange; c–d single, verrucose chlamydospore on the tip of hyphae; e–i Short monophialides with false head and microconidia; j Microconidia, abundant and ovoidal. Scale bar 10 µm Etymology: named after the country of isolation, Sudan. Holotype: dried specimen in herbarium CBS H-22547; living ex-type strain CBS 454.97, from plant debris (Striga hermonthica), Sudan. Description based on CBS 454.97 on MEA and CLA growing in the dark at 27 °C after 7 days. Colonies expanding, attaining 45 mm diam. Aerial mycelium cottony, initially white and later becoming light pinkish, reverse pink-orange (Fig. 6a, b). Hyphae 1.9–2.9 μm, smooth-walled, hyaline, branched, septate. Conidiophores phialidic with mostly monophialides, rarely polyphialdes (Fig. 6g–i). Monophialides 13.0–17.4 × 2.0–3.0 μm, elongate-ampulliform or subcylindrical and tapered at the apex, or short ossiform, wider at the base. Microconidia abundant, subspherical or ovoidal, 3.5–10.5 × 2.7–1.7 μm (Fig. 6j) Macroconidia not seen. Chlamydospores appearing after 1 week of incubation, single or in chains, consisting of enlarged, thick-walled vegetative cells within hyphae (intercalary) or at hyphal tips (terminal), 8–13 μm diam (Fig. 6c, d). Cardinal growth temperature tests showed that all cultures evaluated in this study had their optimal development at 27–33 °C, with growth abilities ranging between 18 °C the lowest temp tested and 40 °C as the highest. All strains were still able to grow at 37 °C, but not at 40 °C.

Discussion

This study was initiated to characterize Fusarium strains held at the CBS reference collection at Utrecht, The Netherlands using polyphasic approaches. Phylogenetic analyses of a 3-gene dataset strongly supported the genealogical exclusivity of F. terricola and F. sudanense (Taylor et al. 2000). Both species received strong monophyletic bootstrap support in the individual analysis of each gene (Figs. 1, 2, 3) and combined (Fig. 4). Despite phylogenetic differences, F. terricola and F. sudanense isolates are morphologically similar to the remaining species in the F. fujikuroi species complex, however, there are several morphological difference between both species. The morphological description was based on two strains and therefore the phenotypic variability of the described species cannot be predicted. Morphological species concepts are regarded to be unreliable at the species level in Fusarium taxonomy (Al-Hatmi et al. 2016d). Diagnostic morphological characteristics between species are not easily observed due to intraspecific variation and because Fusarium species over longer phylogenetic distances may look very similar. The biological species concept in the genus is rudimentary due to lack of sexual recombination in several species groups and because the concept may be complicated by parasexuality, hybridization and horizontal gene transfer (Park 2013). For this reason genealogical concordance and absence of recombination between lineages is therefore mostly applied for species delimitation (Taylor et al. 2000). To overcome possible problems due to phenotypic overlapping, we applied multigene phylogenies to recognize species boundaries. The TEF1 alpha, is the recommended barcoding region for clinical Fusarium spp. (Stielow et al. 2015; Al-Hatmi et al. 2016c). The grouping of the F. terricola and F. sudanense was clear based on TEF1 data. Fusarium terricola and F. sudanense were seen as a sister clade, closely related to undescribed species KU508366.1 Fusarium sp. strain T6.1 (Fig. 1). Additional BT and rPB2 sequences data, however, significantly improved resolution and confirmed F. terricola and F. sudanense as two clades distinct from F. fujikuroi complex, closely related to F. nygamai (Figs. 2, 3). MLH-BI analyses of the TEF1-α, BT and rPB2 loci strongly supported a sister group relationship between F. terricola and F. sudanense and maintained their status as independent evolutionary lineages (Figs. 1, 2, 3). Based on the phylogenetic species concept, molecular diagnostics using available genetic marker sequences have played an important role in understanding the systematics of the Fusarium (Geiser et al. 2004; O’Donnell et al. 2010). The selected marker sequences TEF1, BT and rPB2 still have limitations such as incongruent topologies among single gene trees and lack of resolution needed to distinguish species boundaries. For example, our TEF1 tree (Fig. 1) shows different species (NRRL 25200, F. lactis and T6.1 Fusarium sp.) as being closest relatives of the proposed taxa, while BT, rPB2 and the concatenated trees indicate F. nygamai as being closely related (Figs. 2, 3, 4). In the Fusarium fujikuroi complex several genes such as TEF1, rPB2 and BT have been used in the construction of the species phylogeny due to their highly conserved regions and the reasonable degree of variation among multiple taxa. However, our results show incongruency among these genes. For example, the molecular phylogeny based on sequenced TEF1 is incongruent with the rPB2 and BT as a single gene. This might be due to some recombinations going on within the clade in TEF1. A lack of concordance between molecular markers such as TEF1, rPB2 and IGS within the F. oxysporum complex has been reported by O’Donnell et al. (2009). Incongruency between single gene phylogenies above species level can be caused by a combination of analytical and biological factors, the analytical factors including taxon sampling, outgroup selection, criteria of optimality, and modeling of sequence evolution in phylogeny construction (Rokas et al. 2003). As biological factors, some studies considered natural selection, recombination and genetic drift of Fusarium species (Rokas et al. 2003; Taylor et al. 1999).This might tell us that the Fusarium taxonomy has a fundamental flaw due to ongoing evolution and incomplete lineage sorting. In the present study we characterized two novel Fusarium species recovered from soil and plant debris as F. terricola and F. sudanense. Further research is needed to determine the relation between opportunism on plants or on humans, because both species had an optimum growth around 27 °C and were still able to grow at 37 °C, but not at 40 °C. They thus potentially might be able to cause infections in humans and plants, but invasion of living organisms has as yet not been observed.
  28 in total

Review 1.  Phylogenetic species recognition and species concepts in fungi.

Authors:  J W Taylor; D J Jacobson; S Kroken; T Kasuga; D M Geiser; D S Hibbett; M C Fisher
Journal:  Fungal Genet Biol       Date:  2000-10       Impact factor: 3.495

2.  THE EVOLUTION OF ASEXUAL FUNGI: Reproduction, Speciation and Classification.

Authors:  JW Taylor; DJ Jacobson; MC Fisher
Journal:  Annu Rev Phytopathol       Date:  1999       Impact factor: 13.078

3.  Genome-scale approaches to resolving incongruence in molecular phylogenies.

Authors:  Antonis Rokas; Barry L Williams; Nicole King; Sean B Carroll
Journal:  Nature       Date:  2003-10-23       Impact factor: 49.962

4.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

5.  Phylogenetic analyses of RPB1 and RPB2 support a middle Cretaceous origin for a clade comprising all agriculturally and medically important fusaria.

Authors:  Kerry O'Donnell; Alejandro P Rooney; Robert H Proctor; Daren W Brown; Susan P McCormick; Todd J Ward; Rasmus J N Frandsen; Erik Lysøe; Stephen A Rehner; Takayuki Aoki; Vincent A R G Robert; Pedro W Crous; Johannes Z Groenewald; Seogchan Kang; David M Geiser
Journal:  Fungal Genet Biol       Date:  2013-01-26       Impact factor: 3.495

6.  Genetic diversity of Fusarium oxysporum strains from common bean fields in Spain.

Authors:  F M Alves-Santos; E P Benito; A P Eslava; J M Díaz-Mínguez
Journal:  Appl Environ Microbiol       Date:  1999-08       Impact factor: 4.792

7.  Rapid identification of clinical members of Fusarium fujikuroi complex using MALDI-TOF MS.

Authors:  Abdullah M S Al-Hatmi; Anne-Cécile Normand; Anne D van Diepeningen; Marijke Hendrickx; G Sybren de Hoog; Renaud Piarroux
Journal:  Future Microbiol       Date:  2015-11-19       Impact factor: 3.165

8.  Birth, death and horizontal transfer of the fumonisin biosynthetic gene cluster during the evolutionary diversification of Fusarium.

Authors:  Robert H Proctor; François Van Hove; Antonia Susca; Gaetano Stea; Mark Busman; Theo van der Lee; Cees Waalwijk; Antonio Moretti; Todd J Ward
Journal:  Mol Microbiol       Date:  2013-08-28       Impact factor: 3.501

9.  Phylogenetic diversity and microsphere array-based genotyping of human pathogenic Fusaria, including isolates from the multistate contact lens-associated U.S. keratitis outbreaks of 2005 and 2006.

Authors:  Kerry O'Donnell; Brice A J Sarver; Mary Brandt; Douglas C Chang; Judith Noble-Wang; Benjamin J Park; Deanna A Sutton; Lynette Benjamin; Mark Lindsley; Arvind Padhye; David M Geiser; Todd J Ward
Journal:  J Clin Microbiol       Date:  2007-05-16       Impact factor: 5.948

10.  Novel taxa in the Fusarium fujikuroi species complex from Pinus spp.

Authors:  D A Herron; M J Wingfield; B D Wingfield; C A Rodas; S Marincowitz; E T Steenkamp
Journal:  Stud Mycol       Date:  2015-01-23       Impact factor: 16.097

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  5 in total

1.  High-Resolution Melting (HRM) Curve Assay for the Identification of Eight Fusarium Species Causing Ear Rot in Maize.

Authors:  Simon Schiwek; Lukas Beule; Maria Vinas; Annette Pfordt; Andreas von Tiedemann; Petr Karlovsky
Journal:  Pathogens       Date:  2020-04-07

2.  Detection, virulence and genetic diversity of Fusarium species infecting tomato in Northern Pakistan.

Authors:  Asma Akbar; Shaukat Hussain; Kaleem Ullah; Muhammad Fahim; Gul Shad Ali
Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

3.  Gene Cloning, Recombinant Expression, Characterization, and Molecular Modeling of the Glycolytic Enzyme Triosephosphate Isomerase from Fusarium oxysporum.

Authors:  Beatriz Hernández-Ochoa; Saúl Gómez-Manzo; Erick Alcaraz-Carmona; Hugo Serrano-Posada; Sara Centeno-Leija; Roberto Arreguin-Espinosa; Miguel Cuevas-Cruz; Abigail González-Valdez; José Alberto Mendoza-Espinoza; Marcelo Acosta Ramos; Leyda Cortés-Maldonado; Alba Mónica Montiel-González; Verónica Pérez de la Cruz; Luz María Rocha-Ramírez; Jaime Marcial-Quino; Edgar Sierra-Palacios
Journal:  Microorganisms       Date:  2019-12-24

4.  Design of a diagnostic system based on molecular markers derived from the ascomycetes pan-genome analysis: The case of Fusarium dieback disease.

Authors:  Mirna Vázquez-Rosas-Landa; Diana Sánchez-Rangel; Eric E Hernández-Domínguez; Claudia-Anahí Pérez-Torres; Abel López-Buenfil; Clemente de Jesús García-Ávila; Edgar-David Carrillo-Hernández; Cynthia-Coccet Castañeda-Casasola; Benjamín Rodríguez-Haas; Josué Pérez-Lira; Emanuel Villafán; Alexandro Alonso-Sánchez; Enrique Ibarra-Laclette
Journal:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

5.  New Fusarium species from the Kruger National Park, South Africa.

Authors:  Marcelo Sandoval-Denis; Wijnand J Swart; Pedro W Crous
Journal:  MycoKeys       Date:  2018-06-01       Impact factor: 2.984

  5 in total

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