- Research
- Open access
- Published:
Calonectria species associated with diseased leaves and soils in southern China Eucalyptus plantations
Phytopathology Research volume 5, Article number: 29 (2023)
Abstract
Calonectria leaf blight (CLB) is one of the most important diseases of Eucalyptus trees grown in plantations. This disease poses a serious threat to the sustainability of Eucalyptus plantations in southern China. To better understand the causal agents of CLB, we collected samples of diseased leaves and soil from Eucalyptus plantations from nine regions in Guangdong Province where the disease has become a serious problem. A total of 606 Calonectria isolates were purified from the samples, with 399 and 207 originating from diseased leaves and soils, respectively. Phylogenetic analyses utilizing six gene regions resolved 303 isolates in the C. kyotensis species complex and an equal number of isolates in the C. reteaudii species complex. These two complexes were represented by ten known Calonectria species, including C. aconidialis (12.0%), C. curvispora (0.3%), C. hongkongensis (24.8%), C. ilicicola (0.9%), and C. kyotensis (12.0%) in the C. kyotensis species complex, and C. crousiana (1.0%), C. Guangdongensis (0.3%), C. pseudoreteaudii (40.7%), C. queenslandica (7.3%), and C. reteaudii (0.7%) in the C. reteaudii species complex. Pathogenicity tests showed that all species were capable of causing disease on two tested Eucalyptus genotypes, albeit at varying degrees of aggressiveness. Most isolates (98.3%) in the C. reteaudii species complex were from the diseased leaves, indicating that species in this complex are the main causal agents of CLB outbreak. In addition, a significant number of the C. kyotensis species complex isolates (66.7%) from the soil samples could also cause the disease on Eucalyptus leaves.
Background
Eucalyptus plantations have expanded rapidly in China and serve as an important component of commercial forestry (Xie et al. 2017). By 2018, the plantations occupied approximately 5.5 million hectares in China (Xu et al. 2019). However, most of these plantations are commonly established based on single species or limited numbers of clones, making them vulnerable to pests and diseases (Zhou and Wingfield 2011).
In recent years, Eucalyptus plantations in China have been threatened by numerous emerging diseases, including but not limited to the following diseases: stem canker caused by species of Botryosphaeriaceae (Li et al. 2018), Cryphonectriaceae (Chen et al. 2010; Wang et al. 2020), Ceratocystis (Chen et al. 2013), and Teratosphaeria (Chen et al. 2011a); leaf blight/spot caused by species of Teratosphaeriaceae (Burgess et al. 2006), Calonectria (Wang and Chen 2020a; Wu and Chen 2021), and Quambalaria (Chen et al. 2017); and bacterial wilt associated with Ralstonia pseudosolanacearum (Carstensen et al. 2017). Of these diseases, leaf blight caused by Calonectria spp. is one of the most serious threats to the health of Eucalyptus plantations in southern China (Chen et al. 2011b; Lombard et al. 2015a).
The genus Calonectria (Hypocreales, Nectriaceae) includes many important plant pathogens that are widely distributed in tropical and subtropical regions of the world (Crous 2002; Li et al. 2022). These species are pathogenic on more than 335 plant species, many of which are important forestry, agricultural, and horticultural crop plants (Crous 2002; Lombard et al. 2010a). The disease symptoms caused by Calonectria include cutting rot, damping-off, leaf spot, root rot, shoot blight, and stem canker (Crous 2002). Many species of Calonectria, such as C. pseudoreteaudii (Wang and Chen 2020a), C. pteridis (Freitas et al. 2019), C. reteaudii (Old et al. 2003), and C. spathulata (Rodas et al. 2005) are significant threats to Eucalyptus trees in plantations.
A total of 130 Calonectria species have been described based on multi-gene phylogenetic analyses and morphological comparisons (Crous et al. 2018, 2019, 2021a, 2021b; Wang et al. 2019; Liu et al. 2020; Mohali and Stewart 2021; Pham et al. 2022). They include 27 species identified in China based on DNA sequence analysis. Of these, 11 species originated from diseased Eucalyptus leaves (Feng et al. 2007; Yang et al. 2014; Liu et al. 2020; Li et al. 2023) and 13 from soils in Eucalyptus plantations or nurseries (Li et al. 2017; Wang et al. 2019; Liu et al. 2020; Liu et al. 2021; Wu and Chen 2021). Five species were from both leaves and soils in Eucalyptus plantations, and eight were from plants and soils other than being associated with Eucalyptus (Liu et al. 2020; Wu and Chen 2021).
Recent surveys in Eucalyptus plantations in Guangdong Province of southern China revealed disease symptoms with characteristics of CLB. This study aimed to identify Calonectria spp. associated with this disease and to test their pathogenicity on Eucalyptus.
Results
Fungal isolations
Soil samples were collected from nine regions of Guangdong Province, and diseased leaf samples were collected from six regions other than Dongguan, Shaoguan, and Yunfu, where no disease symptoms were observed (Figs. 1, 2 and Table 1). A total of 207 isolates were obtained from the soil samples, with one to three isolates retrieved per sample (Fig. 1 and Table 1). Between 28 and 51 diseased leaf samples were collected for each region other than Heyuan, where only one sample was collected, and the proportion of diseased leaf samples having Calonectria infection ranged from 96.1% to 100%. A total of 399 isolates were obtained from diseased leaves, with one to six isolates collected per sample (Fig. 1 and Table 1). In total, 606 isolates with typical morphological characteristics of Calonectria spp. were obtained from the nine regions considered (Table 1 and Additional file 1: Table S1).
Disease symptoms on Eucalyptus trees in plantations caused by Calonectria spp. a, b different Eucalyptus genotypes in the plantations from Yangjiang (a) and Zhaoqing (b) infected by Calonectria spp. c defoliation caused by Calonectria. d mass of conidiophores of Calonectria on the stem. e top dieback caused by Calonectria
Phylogenetic analyses
The translation elongation factor 1-alpha (tef1) gene fragment was successfully amplified for all 606 isolates (Additional file 1: Table S1). Based on the genotypes determined based on tef1 sequences as well as information on localities and isolation sources, 417 representative isolates were selected to sequence the β-tubulin (tub2) gene fragment (Additional file 1: Table S1). The combination of tef1 and tub2 sequence data was then used to select 131 isolates to sequence the calmodulin (cmdA), histone H3 (his3), the second largest subunit of RNA polymerase (rpb2), and actin (act) gene fragments (Additional file 1: Table S1).
The amplified sequences were approximately 525 bp for tef1, 565 bp for tub2, 685 bp for cmdA, 435 bp for his3, 860 bp for rpb2, and 270 bp for act. Based on the results of jModeltest, the TIM2 + G model was selected for tef1, the TPM3uf + I + G model for tub2, the TIM1 + G model for cmdA, the TIM2 + I + G model for his3, the TIM1ef + I + G model for rpb2, and the TIM2ef + G model for act. A maximum likelihood (ML) tree constructed from the concatenated dataset with bootstrap values from ML and posterior probabilities from Bayesian inference (BI) are presented in Fig. 3. Individual gene trees were included in the Additional file 2: Figures S1–S6.
Phylogenetic tree obtained from Maximum Likelihood (ML) analysis of the combined dataset of six (tef1, tub2, cmdA, his3, rpb2, and act) gene regions. Bootstrap values ≥ 70% from ML analysis and posterior probability values ≥ 0.95 obtained from Bayesian inference (BI) are indicated at nodes as ML/BI. Bootstrap values < 70% or posterior probability values < 0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020)
Based on phylogenetic analyses of combined sequence datasets, 104 isolates in the C. kyotensis species complex clustered in five lineages designated as Group 1 to Group 5 (Fig. 3). Of these, 23 isolates grouped with C. aconidialis (Group 1), 37 with C. hongkongensis (Group 3), and 40 with C. kyotensis (Group 5), three isolates (CSF12277, CSF12383, and CSF12618) grouped with C. ilicicola (Group 4), and a single isolate (CSF12265) with C. curvispora (Group 2). Twenty-seven isolates belonging to the C. reteaudii species complex clustered in five lineages together with known reference isolates. They were identified as five species (Fig. 3), of which two isolates (CSF12377 and CSF12379) clustered with C. crousiana (Group 6), two isolates (CSF12447 and CSF12448) in Group 7 were identified as C. Guangdongensis, 15 isolates grouped with C. pseudoreteaudii (Group 8), six isolates in Group 9 were identified as C. queenslandica, clustering with the ex-type isolate of that species and Group 10, most closely related to C. reteaudii, included two isolates (CSF12051 and CSF12385).
Distribution of Calonectria species
Of the 606 isolates collected, 207 were obtained from soils, and 399 were from diseased leaves. Three hundred and three isolates resided in the C. kyotensis species complex, and the same number were in the C. reteaudii species complex (Fig. 4a). C. pseudoreteaudii (C. reteaudii species complex) was the most dominant and accounted for 40.7% of all the isolates. This species was found in six regions, and the majority of the isolates were from five of those regions (Fig. 4b). C. hongkongensis in the C. kyotensis species complex represented 24.8% of the isolates and was found in eight of the nine sampled regions. C. aconidialis and C. kyotensis (C. kyotensis species complex), each accounted for 12% of the isolates, were distributed in six and seven regions, respectively. The remaining species were found in very small numbers and only detected in one or two regions (Fig. 4a).
The highest number of Calonectria spp. recovered (nine) was from Jiangmen (Region h), followed by Zhaoqing (Region d) and Huizhou (Region e) each with six species recovered. Between two and four species were recovered from Qingyuan (Region b), Heyuan (Region c), Yunfu (Region f), Dongguan (Region g), and Yangjiang (Region i), and only one species was found in Shaoguan (Region a) (Fig. 4b).
A total of 207 isolates were obtained from soils, of which 202 (97.6%) were in the C. kyotensis species complex and five (2.4%) in the C. reteaudii species complex. In contrast, 399 isolates were from diseased leaves, 298 (74.7%) of which belonged to the C. reteaudii species complex and 101 (25.3%) to the C. kyotensis species complex. Of the 606 isolates collected in total, 303 were in the C. kyotensis species complex, with 66.7% from soils and 33.3% from diseased leaves. The remaining 303 isolates belonged to the C. reteaudii species complex, of which 98.3% were from diseased leaves and 1.7% were from soils (Fig. 5a). In every sampled region, most isolates (88.9–100%) from soils were in the C. kyotensis species complex, and most (53.8–100%) from diseased leaves belonged to the C. reteaudii species complex. The only exception was C. curvispora (C. kyotensis species complex), which was found only on diseased leaves in Heyuan (Region c; Fig. 5b–j).
Pathogenicity tests
Ten Calonectria species representing a range of genotypes and sources were selected for inoculations. Typical Calonectria symptoms were observed on all inoculated plants, and no symptoms appeared on the negative controls. Calonectria species were re-isolated from the lesions on inoculated plants but never from the negative controls.
The results of two inoculation experiments showed that all the Calonectria species found in this study were pathogenic to the two tested Eucalyptus genotypes (E. urophylla × E. tereticornis and E. urophylla × E. grandis). However, isolates of the same species displayed varying levels of aggressiveness with no apparent patterns associated with the isolation sources (Fig. 6). The overall data showed that both inoculated genotypes had similar levels of susceptibility to most of the tested isolates (Fig. 6).
Disease indices for 20 isolates representing ten Calonectria species inoculated on two Eucalyptus hybrid genotypes. The positive control was an isolate of C. pseudoreteaudii and the negative control was water. The numbers in green bold font represent the isolates from diseased leaves. Vertical bars represent the standard error of the means. Bars with different letters indicate treatment means that are significantly different based on Duncan's multiple range tests (P = 0.05)
Discussion
In this study, ten Calonectria species from diseased leaves or soils associated with infected Eucalyptus trees in 11 plantations across nine regions of Guangdong Province in southern China were identified using multi-gene phylogenetic analysis. C. pseudoreteaudii was the dominant species accounting for 40.7% of all the isolates. C. crousiana, C. curvispora, C. Guangdongensis, and C. reteaudii were isolated only from diseased Eucalyptus leaves, while the remaining six species were from both diseased leaves and soils. Two isolates of C. curvispora were isolated from the Heyuan region and accounted for 0.3% of the total isolates, and this is the first record of the species infecting Eucalyptus trees. Results of pathogenicity tests showed that all species identified in this study were pathogenic on two tested Eucalyptus genotypes.
Species in the C. kyotensis species complex, including C. aconidialis, C. curvispora, C. hongkongensis, C. ilicicola, and C. kyotensis, were isolated mainly from soils (66.7%), but a considerable number of the isolates were also obtained from diseased leaves. In previous studies, C. aconidialis, C. hongkongensis, and C. kyotensis were found widely distributed in Fujian, Guangdong, Guangxi, and Hainan of southern China, and they were all isolated from soils (Lombard et al. 2015a; Li et al. 2017; Liu et al. 2021; Wu and Chen 2021). In the present study, these species were isolated from both diseased Eucalyptus leaves and soils, although there were significantly more isolates from the soils than from the leaves. C. curvispora has only been isolated from soils in previous studies (Crous 2002; Pham et al. 2019; Liu and Chen 2023); this is the first record of it being found on infected plant tissues.
The majority of the species (98.3%) residing in the C. reteaudii complex were from diseased leaves, with very few (1.7%) from soil samples. This is similar to the findings reported in previous studies (Lombard et al. 2010b; Chen et al. 2013; Lombard et al. 2015a; Li et al. 2017; Wang and Chen 2020a), where most species in this complex were from diseased leaves, and they seldom occurred in soil samples.
Little is known regarding the ability of Calonectria species in the C. kyotensis species complex to infect Eucalyptus. There are only two previous studies (Wu and Chen 2021; Liu and Chen 2022) where these species have been tested for pathogenicity, and the tested isolates were from soils. In the present study, representative isolates in the C. kyotensis species complex from both diseased leaves and soils were used in inoculation assays. The results, consistent with those of previous studies (Wu and Chen 2021; Liu and Chen 2022), showed that they were all pathogenic on the tested Eucalyptus genotypes.
It is generally thought that species in the C. kyotensis species complex are mainly soil inhabitants (Lombard et al. 2015a; Li et al. 2017) and that they are unlikely to cause serious disease problems on Eucalyptus in plantations. In contrast, species in the C. reteaudii species complex are mainly isolated from diseased leaves and hence considered as important plant pathogens (Wang and Chen 2020a, 2020b; Wu and Chen 2021; Li et al. 2023). The results of the present study show that species in the C. kyotensis species complex are able to infect Eucalyptus and that there were no significant differences in pathogenicity compared with species in the C. reteaudii species complex. However, it is relevant that relatively few isolates were utilized in our pathogenicity tests, and the results should not be over-interpreted relating to their relative importance as pathogens of Eucalyptus in China or elsewhere.
Conclusions
Results of this study showed that species of the C. reteaudii species complex, of which C. pseudoreteaudii was the dominant species, were the main causal agents of the disease outbreak investigated. This is based on the fact that species within the C. reteaudii species complex were isolated from diseased leaves most often (74.7%) than species in the C. kyotensis species complex (25.3%). While the larger number of isolates residing in the C. kyotensis species complex were isolated from soils, a considerable number of these were recovered from diseased Eucalyptus leaves. Inoculation test showed that species in both complexes are capable of causing infection on Eucalyptus hybrids. They should consequently all be considered as potential threats to Eucalyptus plantations.
Methods
Sample collection and fungal isolation
Disease surveys were conducted in Eucalyptus plantations in nine regions of Guangdong Province of southern China from September to October 2018. The surveyed regions included Dongguan, Heyuan, Huizhou, Jiangmen, Qingyuan, Shaoguan, Yangjiang, Yunfu, and Zhaoqing (Fig. 1). Typical symptoms caused by Calonectria spp. including leaf spots, shoot blight and defoliation, were observed on 3-year-old trees (Fig. 2). Both diseased leaves and soil samples were collected from plantations where Calonectria leaf blight was observed, and soil samples were also collected in plantations without the disease. Between 20 and 60 soil samples were collected at each site, and 30–50 samples of diseased tissue were collected in the infected Eucalyptus plantations other than in Heyuan, where only one diseased tree was found. At the time of sampling, plantations in Huizhou and Jiangmen had been damaged by a typhoon resulting in lodging and in these cases, leaves with typical symptoms of Calonectria leaf blight were collected from the upper sides of the fallen trees.
The symptomatic tissue samples were placed in Petri dishes (diameter 90 mm) containing two pieces of moist sterilized filter paper, and maintained at room temperature for 1–3 days to induce fungal sporulation. The soil samples were baited with Medicago sativa (alfalfa) seeds using the method described by Crous (2002). Conidial masses of Calonectria spp. on the symptomatic surfaces of germinating alfalfa seeds were lifted using sterile syringe needles under a dissection microscope (AxioCam Stemi 2000C, Carl Zeiss, Germany), transferred to 2% malt extract agar plates (MEA: 20 g malt extract and 20 g agar per liter of water), and incubated for 3–5 days at room temperature. To obtain pure cultures, a single hyphal tip was transferred to a new MEA medium plate and incubated at room temperature for one week.
All pure cultures were deposited in the culture collection (CSF) located at the Research Institute of Fast-growing Trees (RIFT)/China Eucalypt Research Centre (CERC) of the Chinese Academy of Forestry (CAF) in Zhanjiang, Guangdong Province, China.
DNA extraction, PCR amplification, and sequencing
All isolates were used for DNA extraction, PCR sequencing, and sequence analysis. Mycelia were scraped from the surface of 7 to 10-day-old cultures grown on MEA plates using a sterile scalpel and transferred to 2 mL Eppendorf tubes. A CTAB extraction method described by Van Burik et al. (1998) was used to isolate total genomic DNA. The concentration and quality of extracted DNA were assessed using Nano-Drop 2000 Spectrometer (Thermo Fisher Scientific Inc. Waltham, MA, USA) and adjusted to about 100 ng/μL using ddH2O.
Based on the study of Liu et al. (2020), six genes shown to be taxonomically informative for Calonectria species delimitation were amplified and sequenced, including tef1, tub2, cmdA, his3, rpb2, and act genes. The gene fragments were amplified using the primers EF1-728F/EF2 (tef1), T1/CYLTUB1R (tub2), CAL-228F/CAL-2Rd (cmdA), CYLH3F/CYLH3R (his3), fRpb2-5F/fRpb2-7cR (rpb2), and ACT-512F/ACT-783R (act). PCR reaction mixtures and cycling conditions were the same as those described by Liu et al. (2020). The tef1 gene fragment was amplified and sequenced for all isolates to determine sequence genotypes. Based on the tef1 sequence genotypes and considering the sampling site and source (leaves or soil), representative isolates were selected for the tub2 gene fragment amplification and sequencing. Representative isolates of tef1 and tub2 genotypes and isolation sources were then selected to sequence the cmdA, his3, rpb2, and act gene fragments for final identification. The PCR products were examined using agarose gel electrophoresis and sequenced in both directions using the amplification primers mentioned above. Sequencing of the amplicons was conducted by Beijing Genomics Institution, Guangzhou, Guangdong Province, China. Raw sequences were edited with Geneious v. 9.1.4 (Kearse et al. 2012), and consensus sequences were made from forward and reverse sequencing reads. All sequences generated in this study were deposited in GenBank (http://www.ncbi.nlm.nih.gov) (Additional file 1: Table S1).
Phylogenetic analyses
Preliminary identification of the isolates was achieved using a standard nucleotide BLAST search (https://blast.ncbi.nlm.nih.gov/Blast.cgi). The available sequences of all species residing in related species complexes, including the ex-type isolates, were used for sequence comparisons and phylogenetic analyses. Sequences for two isolates of Curvicladiella cignea (CBS 109167 and CBS 109168) were used as outgroup taxa in the analyses. Sequences obtained in the present study and reference sequences (Additional file 1: Table S2) from the datasets of Liu et al. (2020) were aligned using the online version of MAFFT v.7 (http://mafft.cbrc.jp/alignment/server/) (Katoh and Standley 2013) with iterative refinement methods (FFT-NS-i). The resulting alignments were visualized and curated in MEGA v. 7.0 (Kumar et al. 2016).
ML and BI analyses were conducted for individual gene sequences as well as for the concatenated dataset of all six genes. Best-fit nucleotide substitution models were determined with jModelTest v.2.1.5 (Darriba et al. 2012). ML analyses were performed with RaxML v. 8.2.4 on the CIPRES Science Gateway v. 3.3 (Miller et al. 2010) with 1000 bootstrap replicates (Stamatakis 2014). BI analyses were conducted using MrBayes v. 3.2.6 (Ronquist et al. 2012), where four MCMC chains were run for five million generations, and trees were sampled every 100th generation. The first 25% of the trees sampled were discarded as burn‐in, and those remaining were used to calculate the posterior probabilities. Phylogenetic trees were viewed using MEGA v. 7.0 (Kumar et al. 2016).
Pathogenicity tests
To evaluate the pathogenicity of the identified Calonectria species, two isolates per species were selected for inoculation trials. One isolate of C. pseudoreteaudii from a previous study (Wang et al. 2022) was included as a positive control. Three-month-old trees of two Eucalyptus genotypes (E. urophylla × E. tereticornis CEPT1876 and E. urophylla × E. grandis CEPT1877) were used in the inoculations.
Mycelial suspensions were used for inoculations using the method described by Wang et al. (2022). The concentrations of the mycelial fragments were determined using a spectrophotometer and adjusted to ABS600 = 1.0. Before inoculation, seedlings of two Eucalyptus genotypes were placed in plastic chambers in a greenhouse for 24 h, where the temperature was maintained at 25–27°C and the humidity at 70–80%. Leaves of eight plants of each Eucalyptus genotype were sprayed with mycelial suspensions of each isolate until run-off, and an equal number of plants were treated with sterile water as negative controls.
After three days, disease indices (DI) were determined following the approach described by Mishra et al. (2009). The percentage of infected leaf area was determined using the ‘Leaf Doctor’ software (Pethybridge and Nelson 2015), and then assigned to a 0 to 5 scale, where 0 represented no lesion and DI 1–5, respectively, indicated 1–10%, 11–25%, 26–50%, 51–75%, 76–100% of the leaf area infected. The resulting data were analyzed using SPSS Statistics 22 software (IBM Corp., Armonk, NY, USA). Re-isolations were carried out to fulfill the Koch’s postulates, and the entire experiment was repeated once under the same conditions.
Availability of data and materials
Not applicable.
Abbreviations
- act :
-
Actin
- BI:
-
Bayesian inference
- CLB:
-
Calonectria Leaf Blight
- cmdA :
-
Calmodulin
- DI:
-
Disease index
- his3 :
-
Histone H3
- ML:
-
Maximum likelihood
- rpb2 :
-
The second largest subunit of RNA polymerase
- tef1 :
-
Translation elongation factor 1-alpha
- t ub2 :
-
β-Tubulin
References
Burgess TI, Andjic V, Hardy GS, Dell B, Xu D. First report of Phaeophleospora destructans in China. J Trop for Sci. 2006;18(2):144–6.
Carstensen GD, Venter SN, Wingfield MJ, Coutinho TA. Two Ralstonia species associated with bacterial wilt of Eucalyptus. Plant Pathol. 2017;66(3):393–403. https://doi.org/10.1111/ppa.12577.
Chen SF, Gryzenhout M, Roux J, Xie YJ, Wingfield MJ, Zhou XD. Identification and pathogenicity of Chrysoporthe cubensis on Eucalyptus and Syzygium spp. South China. Plant Dis. 2010;94(9):1143–50. https://doi.org/10.1094/PDIS-94-9-1143.
Chen SF, Barnes I, Chungu D, Wingfield MJ, Xie YJ, Zhou XD. High population diversity and increasing importance of the Eucalyptus stem canker pathogen, Teratosphaeria zuluensis, in South China. Australas Plant Pathol. 2011a;40:407–15. https://doi.org/10.1007/s13313-011-0051-0.
Chen SF, Lombard L, Roux J, Xie YJ, Wingfield MJ, Zhou XD. Novel species of Calonectria associated with Eucalyptus leaf blight in Southeast China. Persoonia. 2011b;26(1):1–12. https://doi.org/10.3767/003158511X555236.
Chen QZ, Guo WS, Ye XZ, Huang XP, Wu YZ. Identification of Calonectria associated with Eucalyptus leaf blight in Fujian Province. J Fujian Coll for. 2013;33:176–82 (in Chinese).
Chen SF, Liu QL, Li GQ, Wingfield MJ. Quambalaria species associated with eucalypt diseases in Southern China. Front Agric Sci Eng. 2017;4(4):433–47. https://doi.org/10.15302/J-FASE-2017173.
Crous PW. Taxonomy and pathology of Cylindrocladium (Calonectria) and allied genera. St. Paul: APS Press; 2002.
Crous PW, Luangsa-ard JJ, Wingfield MJ, Carnegie AJ, Hernández-Restrepo M, Lombard L, et al. Fungal planet description sheets: 785–867. Persoonia. 2018;41(1):238–417. https://doi.org/10.3767/persoonia.2018.41.12.
Crous PW, Carnegie AJ, Wingfield MJ, Sharma R, Mughini G, Noordeloos ME, et al. Fungal planet description sheets: 868–950. Persoonia. 2019;42:291–473. https://doi.org/10.3767/persoonia.2019.42.11.
Crous PW, Cowan DA, Maggs-Kölling G, Yilmaz N, Thangavel R, Wingfield MJ, et al. Fungal planet description sheets: 1182–1283. Persoonia. 2021a;46:313–528. https://doi.org/10.3767/persoonia.2021.46.11.
Crous PW, Hernández-Restrepo M, Schumacher RK, Cowan DA, Maggs-Kölling G, Marais E, et al. New and interesting fungi. 4. Fungal Syst Evol. 2021b;7(1):255–343. https://doi.org/10.3114/fuse.2021.07.13.
Darriba D, Taboada GL, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 2012;9(8):772. https://doi.org/10.1038/nmeth.2109.
Feng L, Luan SY, Fan YQ, Zhong H. Identification of the pathogens of leaf spot on Vaccinium. J Northeast Agric Univ. 2007;38:614–8 (in Chinese).
Freitas RG, Alfenas RF, Guimarães LMS, Badel JL, Alfenas AC. Genetic diversity and aggressiveness of Calonectria pteridis in Eucalyptus spp. Plant Pathol. 2019;68(5):869–77. https://doi.org/10.1111/ppa.13008.
Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–80. https://doi.org/10.1093/molbev/mst010.
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28(12):1647–9. https://doi.org/10.1093/bioinformatics/bts199.
Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33(7):1870–4. https://doi.org/10.1093/molbev/msw054.
Li JQ, Wingfield MJ, Liu QL, Barnes I, Roux J, Lombard L, et al. Calonectria species isolated from Eucalyptus plantations and nurseries in South China. IMA Fungus. 2017;8(2):259–86. https://doi.org/10.5598/imafungus.2017.08.02.04.
Li GQ, Liu FF, Li JQ, Liu QL, Chen SF. Botryosphaeriaceae from Eucalyptus plantations and adjacent plants in China. Persoonia. 2018;40(1):63–95. https://doi.org/10.3767/persoonia.2018.40.03.
Li JQ, Wingfield MJ, Barnes I, Chen SF. Calonectria in the age of genes and genomes: towards understanding an important but relatively unknown group of pathogens. Mol Plant Pathol. 2022;23(7):1060–72. https://doi.org/10.1111/mpp.13209.
Li WW, Chen SF, Wingfield MJ, Duong TA. Calonectria queenslandica: causal agent of Eucalyptus leaf blight in southern China. Plant Dis. 2023;107(3):730–42. https://doi.org/10.1094/PDIS-01-22-0196-RE.
Liu LL, Chen SF. Pathogenicity of six Calonectria species isolated from five soil layers in a Eucalyptus plantation. J Phytopathol. 2022;170(7–8):445–52. https://doi.org/10.1111/jph.13096.
Liu QL, Li JQ, Wingfield MJ, Duong TA, Wingfield BD, Crous PW, et al. Reconsideration of species boundaries and proposed DNA barcodes for Calonectria. Stud Mycol. 2020;97(1):100106. https://doi.org/10.1016/j.simyco.2020.08.001.
Liu LL, Wu WX, Chen SF. Species diversity and distribution characteristics of Calonectria in five soil layers in a Eucalyptus plantation. J Fungi. 2021;7(10):857. https://doi.org/10.3390/jof7100857.
Liu Y, Chen SF. Diversity and distribution of Calonectria species in soils from Eucalyptus urophylla× E. grandis, Pinus massoniana, and Cunninghamia lanceolata plantations in four provinces in southern China. J Fungi. 2023;9(2):198. https://doi.org/10.3390/jof9020198.
Lombard L, Crous PW, Wingfield BD, Wingfield MJ. Species concepts in Calonectria (Cylindrocladium). Stud Mycol. 2010a;66:1–13. https://doi.org/10.3114/sim.2010.66.01.
Lombard L, Zhou XD, Crous PW, Wingfield BD, Wingfield MJ. Calonectria species associated with cutting rot of Eucalyptus. Persoonia. 2010b;24(1):1–11. https://doi.org/10.3767/003158510X486568.
Lombard L, Chen SF, Mou X, Zhou XD, Crous PW, Wingfield MJ. New species, hyper–diversity and potential importance of Calonectria spp. from Eucalyptus in South China. Stud Mycol. 2015a;80(1):151–88. https://doi.org/10.1016/j.simyco.2014.11.003.
Lombard L, van der Merwe NA, Groenewald JZ, Crous PW. Generic concepts in Nectriaceae. Stud Mycol. 2015b;80(1):189–245. https://doi.org/10.1016/j.simyco.2014.12.002.
Miller MA, Pfeiffer W, Schwartz T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. In: 2010 gateway computing environments workshop (GCE). New Orleans, LA, USA, IEEE; 2010. p. 1–8. http://doi.org/https://doi.org/10.1109/GCE.2010.5676129
Mishra KK, Kolte SJ, Nashaat NI, Awasthi RP. Pathological and biochemical changes in Brassica juncea (mustard) infected with Albugo candida (white rust). Plant Pathol. 2009;58(1):80–6. https://doi.org/10.1111/j.1365-3059.2008.01939.x.
Mohali SR, Stewart JE. Calonectria vigiensis sp nov (Hypocreales, Nectriaceae) associated with dieback and sudden–death symptoms of Theobroma cacao from Mérida state Venezuela. Botany. 2021;99(11):683–93. https://doi.org/10.1139/cjb-2021-0050.
Old KM, Wingfield MJ, Yuan ZQ. A manual of diseases of eucalypts in South-East Asia. Bogor: CIFOR; 2003. https://doi.org/10.17528/cifor/001428.
Pethybridge SJ, Nelson SC. Leaf Doctor: a new portable application for quantifying plant disease severity. Plant Dis. 2015;99(10):1310–6. https://doi.org/10.1094/PDIS-03-15-0319-RE.
Pham NQ, Barnes I, Chen SF, Liu FF, Dang Q, Pham T, et al. Ten new species of Calonectria from Indonesia and Vietnam. Mycologia. 2019;111(1):78–102. https://doi.org/10.1080/00275514.2018.1522179.
Pham NQ, Marincowitz S, Chen SF, Yaparudin Y, Wingfield MJ. Calonectria species, including four novel taxa, associated with Eucalyptus in Malaysia. Mycol Prog. 2022;21(1):181–97. https://doi.org/10.1007/s11557-021-01768-8.
Rodas CA, Lombard L, Gryzenhoinf M, Slippers B, Wingfield MJ. Cylindrocladium blight of Eucalyptus grandis in Colombia. Australas Plant Pathol. 2005;34:143–9. https://doi.org/10.1071/AP05012.
Ronquist F, Teslenko M, Van Der Mark P, Ayres D, Darling A, Höhna S, et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012;61(3):539–42. https://doi.org/10.1093/sysbio/sys029.
Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30(9):1312–3. https://doi.org/10.1093/bioinformatics/btu033.
van Burik JAH, Schreckhise RW, White TC, Bowden RA, Myerson D. Comparison of six extraction techniques for isolation of DNA from filamentous fungi. Med Mycol. 1998;36(5):299–303. https://doi.org/10.1080/02681219880000471.
Wang QC, Chen SF. Calonectria pentaseptata causes severe leaf disease of cultivated Eucalyptus on the Leizhou Peninsula of southern China. Plant Dis. 2020a;104(2):493–509. https://doi.org/10.1094/PDIS-05-19-1009-RE.
Wang QC, Chen SF. The resistances of eight Eucalyptus genotypes in southern China to Calonectria pentaseptata. Eucalypt Sci Technol. 2020b;37:1–9 (in Chinese).
Wang QC, Liu QL, Chen SF. Novel species of Calonectria isolated from soil near Eucalyptus plantations in southern China. Mycologia. 2019;111(6):1028–40. https://doi.org/10.1080/00275514.2019.1666597.
Wang W, Li GQ, Liu QL, Chen SF. Cryphonectriaceae on Myrtales in China: phylogeny, host range, and pathogenicity. Persoonia. 2020;45(1):101–31. https://doi.org/10.3767/persoonia.2020.45.04.
Wang QC, Liu FF, Liu QL, Wu WX, Wingfield MJ, Chen SF. Comparison of hyphal fragments and spores to evaluate the pathogenicity of the Eucalyptus leaf and shoot pathogen Calonectria pseudoreteaudii. Plant Dis. 2022;106(12):3145–53. https://doi.org/10.1094/PDIS-01-22-0213-RE.
Wu WX, Chen SF. Species diversity, mating strategy and pathogenicity of Calonectria species from diseased leaves and soils in the Eucalyptus plantation in southern China. J Fungi. 2021;7(2):73. https://doi.org/10.3390/jof7020073.
Xie YJ, Arnold RJ, Wu ZH, Chen SF, Du AP, Luo JZ. Advances in eucalypt research in China. Front Agric Sci Eng. 2017;4(4):380–90. https://doi.org/10.15302/J-FASE-2017171.
Xu J, Xie S, Han A, Rao R, Huang G, Chen X, et al. Forest Resources in China—the 9th national forest inventory. Beijing: National Forestry and Grassland Administration; 2019. p. 29.
Yang W, Zheng L, Wang C, Xie CP. The first report of Calonectria pteridis causing a leaf spot disease on Serenoa repens in China. Plant Dis. 2014;98(6):854. https://doi.org/10.1094/PDIS-11-13-1167-PDN.
Zhou XD, Wingfield MJ. Eucalypt diseases and their management in China. Australas Plant Pathol. 2011;40:339–45. https://doi.org/10.1007/s13313-011-0053-y.
Acknowledgements
We thank Mr. Guoqing Li for his assistance with sample collections as well as Mr. Guoqing Li, Dr. Feifei Liu, Mr. Quanchao Wang, Ms. Lingling Liu, Ms. Linfang Liu, Ms. Ying Liu, Ms. Xueying Liang, Mr. Bingyin Chen, and Ms. Linqin Lu for their assistance with the pathogenicity trials.
Funding
This study was initiated through the bilateral agreement between the Governments of South Africa and China and supported by the National Key R&D Program of China (China-South Africa Forestry Joint Research Centre Project; project No. 2018YFE0120900), the National Ten-thousand Talents Program (Project No. W03070115), and the Guangdong Top Young Talents Program (Project No. 20171172).
Author information
Authors and Affiliations
Contributions
SC conceived and designed the experiments. SC and WL collected the samples. WL performed the laboratory work. WL drafted the manuscript. SC, MW, and TD revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Supplementary Information
Additional file 1
. Table S1. Information of all isolates obtained in this study. Table S2. Isolates from other studies and used in the phylogenetic analyses.
Additional file 2
. Figure S1. Phylogenetic tree obtained from Maximum Likelihoodanalysis of the tef1 gene sequences. Bootstrap values ≥70% from ML analysis and posterior probability values ≥0.95 obtained from Bayesian inferenceare indicated at nodes as ML/BI. Bootstrap values <70% or posterior probability values <0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020). Figure S2. Phylogenetic tree obtained from Maximum Likelihoodanalysis of the tub2 gene sequences. Bootstrap values ≥70% from ML analysis and posterior probability values ≥0.95 obtained from Bayesian inferenceare indicated at nodes as ML/BI. Bootstrap values <70% or posterior probability values <0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020). Figure S3. Phylogenetic tree obtained from Maximum Likelihoodanalysis of the cmdA gene sequences. Bootstrap values ≥70% from ML analysis and posterior probability values ≥0.95 obtained from Bayesian inferenceare indicated at nodes as ML/BI. Bootstrap values <70% or posterior probability values <0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020). Figure S4. Phylogenetic tree obtained from Maximum Likelihoodanalysis of his3 gene sequences. Bootstrap values ≥70% from ML analysis and posterior probability values ≥ 0.95 obtained from Bayesian inferenceare indicated at nodes as ML/BI. Bootstrap values <70% or posterior probability values <0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020). Figure S5. Phylogenetic tree obtained from Maximum Likelihoodanalysis of the rpb2 gene sequences. Bootstrap values ≥70% from ML analysis and posterior probability values ≥0.95 obtained from Bayesian inferenceare indicated at nodes as ML/BI. Bootstrap values <70% or posterior probability values <0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020). Figure S6. Phylogenetic tree obtained from Maximum Likelihoodanalysis of act gene sequences. Bootstrap values ≥70% from ML analysis and posterior probability values ≥0.95 obtained from Bayesian inferenceare indicated at nodes as ML/BI. Bootstrap values <70% or posterior probability values <0.95 are marked with ‘*’. Isolates reported in this study are highlighted in blue and in bold type; Ex-type isolates are indicated with ‘T’. ‘B-’ species codes are consistent with those in Liu et al. (2020).
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Li, W., Chen, S., Wingfield, M.J. et al. Calonectria species associated with diseased leaves and soils in southern China Eucalyptus plantations. Phytopathol Res 5, 29 (2023). https://doi.org/10.1186/s42483-023-00183-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s42483-023-00183-z