Multiplex Real-time PCR Detection and Differentiation of Colletotrichum Species Infecting Soybean

New Species-Specific Real-Time PCR Assays for Colletotrichum Species Causing Bitter Rot of Apple

Bitter rot of apple is an economically important worldwide disease caused by different Colletotrichum species, depending on many factors such as climate, geography, other hosts, and crop management practices. Culture, morphology, and single-locus sequencing-based methods for identifying the Colletotrichum species are severely limited in effectiveness, while the multilocus sequence typing methods available for delineating species are costly, time-intensive, and require high expertise. We developed species-specific hydrolysis probe real-time PCR assays for the following nine Colletotrichum species causing bitter rot in the Mid-Atlantic U.S.A.: C. fructicola, C. chrysophilum, C. noveboracense, C. gloeosporioides s.s., C. henanense, C. siamense and C. theobromicola from the C. gloeosporioides species complex, and C. fioriniae and C. nymphaeae from the C. acutatum species complex. After searching 14 gene regions, we designed primers and probes in 5 of them for the nine target species. Four primer-probe set pairs were able to be duplexed. Sensitivity tests showed as little as 0.5 pg DNA were detectable. These real-time PCR assays will provide rapid and reliable identification of these key Colletotrichum species and will be critically important for studies aiming to elucidate their biology, epidemiology, and management on apples as the number one produced and consumed tree fruit in the U.S.A.

Analysis of the Difenoconazole-Resistance Risk and Its Molecular Basis in Colletotrichum truncatum from Soybean

Anthracnose disease, caused by Colletotrichum truncatum, is a destructive fungal disease in soybean worldwide, and some demethylation inhibitor fungicides are used to manage it. In this study, the sensitivity of C. truncatum to difenoconazole was determined, and the risk for resistance development of C. truncatum to difenoconazole was also assessed. The results showed that the mean EC50 value was 0.9313 μg/ml, and the frequency of sensitivity formed a unimodal distribution. Six stable mutants with a mutation frequency of 8.33 × 10-5 were generated, and resistance factors ranged from 3.00 to 5.81 after 10 successive culture transfers. All mutants exhibited fitness penalties in reduced mycelial growth rate, sporulation, and pathogenicity, except for the Ct2-3-5 mutant. Positive cross-resistance was observed between difenoconazole and propiconazole but not between difenoconazole and prochloraz, pyraclostrobin, or fluazinam. One point mutation I463V in CYP51A was found in five resistant mutants. Surprisingly, the homologous I463V mutation has not been observed in other plant pathogens. CYP51A and CYP51B expression increased slightly in the resistant mutants as compared to wild-types when exposed to difenoconazole but not in the CtR61-2-3f and CtR61-2-4a mutants. In general, a new point mutation, I463V in CYP51A, could be associated with low resistance to difenoconazole in C. truncatum. In the greenhouse assay, control efficacy of difenoconazole on both parental isolates and the mutants increased in a dose-dependent manner. Collectively, the resistance risk of C. truncatum to difenoconazole is regarded to be low to moderate, suggesting that difenoconazole can still be reasonably used to control soybean anthracnose.

Paper-based colorimetric loop-mediated isothermal amplification (LAMP) assay for the identification of latent Colletotrichum in harvested fruit

Paper-based analytical devices (PADs) have gained enormous attention because of their low-cost, simple fabrication, and portability. Here, we propose a paper-based device for performing reverse transcription loop-mediated isothermal amplification (RT-LAMP) with real-time simultaneous detection of C. gloeosporioides latent infections in tomatoes. RT-LAMP-based PAD platform comprises a paper substrate on which the DNA amplification reaction occurs. Among different types of tested papers, cellulose membrane (grade 4) enabled effective visualization of the amplification result. The assay was found highly selective for the latent stage of C. gloeosporioides with lower limit of detection (LOD) of 0.5 pg of total extracted RNA. The developed assay generated the results within 40 min and hence can be efficiently employed for identifying C. gloeosporioides in resource-limited settings.

Diagnosis of Soybean Diseases Caused by Fungal and Oomycete Pathogens: Existing Methods and New Developments

Soybean (Glycine max) acreage is increasing dramatically, together with the use of soybean as a source of vegetable protein and oil. However, soybean production is affected by several diseases, especially diseases caused by fungal seed-borne pathogens. As infected seeds often appear symptomless, diagnosis by applying accurate detection techniques is essential to prevent propagation of pathogens. Seed incubation on culture media is the traditional method to detect such pathogens. This method is simple, but fungi have to develop axenically and expert mycologists are required for species identification. Even experts may not be able to provide reliable type level identification because of close similarities between species. Other pathogens are soil-borne. Here, traditional methods for detection and identification pose even greater problems. Recently, molecular methods, based on analyzing DNA, have been developed for sensitive and specific identification. Here, we provide an overview of available molecular assays to identify species of the genera Diaporthe, Sclerotinia, Colletotrichum, Fusarium, Cercospora, Septoria, Macrophomina, Phialophora, Rhizoctonia, Phakopsora, Phytophthora, and Pythium, causing soybean diseases. We also describe the basic steps in establishing PCR-based detection methods, and we discuss potentials and challenges in using such assays.

Rapid and simple colorimetric detection of quiescent Colletotrichum in harvested fruit using reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) technology

Anthracnose, caused by the fungus Colletotrichum gloeosporioides, is one of the major causes of postharvest decay of fruits and vegetables. Detection of the pathogen at an early stage of infection is crucial to developing a disease management strategy. In this work, a loop-mediated isothermal amplification (LAMP) assay was developed for the rapid detection of C. gloeosporioides targeting the transcript enoyl-CoA hydratase (ECH) that significantly upregulates only during C. gloeosporioides quiescent stage. The assay enabled a naked-eye detection of C. gloeosporioides RNA within 23 min based on a color change of LAMP products from pink to yellow. The detection limit of the LAMP assay was 1 pg of total RNA extracted from fruit peel in a 25 μL reaction. Positive results were obtained only in samples carrying the ECH gene, whereas no cross-reaction was observed for a different quiescent marker (histone deacetylase (HDAC)) or an appressorium marker (scytalone dehydratase, (SD)), indicating the high specificity of the method. Hence, the results indicate that the developed LAMP assay is a rapid, highly sensitive, and specific tool for the early detection of quiescent C. gloeosporioides and could be employed to manage postharvest diseases.

Fusion of hyperspectral imaging (HSI) and RGB for identification of soybean kernel damages using ShuffleNet with convolutional optimization and cross stage partial architecture

Identification of soybean kernel damages is significant to prevent further disoperation. Hyperspectral imaging (HSI) has shown great potential in cereal kernel identification, but its low spatial resolution leads to external feature infidelity and limits the analysis accuracy. In this study, the fusion of HSI and RGB images and improved ShuffleNet were combined to develop an identification method for soybean kernel damages. First, the HSI-RGB fusion network (HRFN) was designed based on super-resolution and spectral modification modules to process the registered HSI and RGB image pairs and generate super-resolution HSI (SR-HSI) images. ShuffleNet improved with convolution optimization and cross-stage partial architecture (ShuffleNet_COCSP) was used to build classification models with the optimal image set of effective wavelengths (OISEW) of SR-HSI images obtained by support vector machine and ShuffleNet. High-quality fusion of HSI and RGB with the obvious spatial promotion and satisfactory spectral conservation was gained by HRFN. ShuffleNet_COCSP and OISEW obtained the optimal recognition performance of ACC_p=98.36%, Params=0.805 M, and FLOPs=0.097 G, outperforming other classification methods and other types of images. Overall, the proposed method provides an accurate and reliable identification of soybean kernel damages and would be extended to analysis of other quality indicators of various crop kernels.

Identification and Comparison of Colletotrichum Secreted Effector Candidates Reveal Two Independent Lineages Pathogenic to Soybean

Colletotrichum is one of the most important plant pathogenic genus of fungi due to its scientific and economic impact. A wide range of hosts can be infected by Colletotrichum spp., which causes losses in crops of major importance worldwide, such as soybean. Soybean anthracnose is mainly caused by C. truncatum, but other species have been identified at an increasing rate during the last decade, becoming one of the most important limiting factors to soybean production in several regions. To gain a better understanding of the evolutionary origin of soybean anthracnose, we compared the repertoire of effector candidates of four Colletotrichum species pathogenic to soybean and eight species not pathogenic. Our results show that the four species infecting soybean belong to two lineages and do not share any effector candidates. These results strongly suggest that two Colletotrichum lineages have acquired the capability to infect soybean independently. This study also provides, for each lineage, a set of candidate effectors encoding genes that may have important roles in pathogenicity towards soybean offering a new resource useful for further research on soybean anthracnose management.

Soybean anthracnose caused by Colletotrichum species: Current status and future prospects

Soybean (Glycine max) is one of the most important cultivated plants worldwide as a source of protein-rich foods and animal feeds. Anthracnose, caused by different lineages of the hemibiotrophic fungus Colletotrichum, is one of the main limiting factors to soybean production. Losses due to anthracnose have been neglected, but their impact may threaten up to 50% of the grain production.

TAXONOMY

While C. truncatum is considered the main species associated with soybean anthracnose, recently other species have been reported as pathogenic on this host. Until now, it has not been clear whether the association of new Colletotrichum species with the disease is related to emerging species or whether it is due to the undergoing changes in the taxonomy of the genus.

DISEASE SYMPTOMS

Typical anthracnose symptoms are pre- and postemergence damping-off; dark, depressed, and irregular spots on cotyledons, stems, petioles, and pods; and necrotic laminar veins on leaves that can result in premature defoliation. Symptoms may evolve to pod rot, immature opening of pods, and premature germination of grains.

CHALLENGES

As accurate species identification of the causal agent is decisive for disease control and prevention, in this work we review the taxonomic designation of Colletotrichum isolated from soybean to understand which lineages are pathogenic on this host. We also present a comprehensive literature review of soybean anthracnose, focusing on distribution, symptomatology, epidemiology, disease management, identification, and diagnosis. We consider the knowledge emerging from population studies and comparative genomics of Colletotrichum spp. associated with soybean providing future perspectives in the identification of molecular factors involved in the pathogenicity process.

USEFUL WEBSITE

Updates on Colletotrichum can be found at http://www.colletotrichum.org/. All available Colletotrichum genomes on GenBank can be viewed at http://www.colletotrichum.org/genomics/.

Triplex Real-Time PCR Approach for the Detection of Crucial Fungal Berry Pathogens-Botrytis spp., Colletotrichum spp. and Verticillium spp

Phytopathogens cause undeniably serious damage in agriculture by harming fruit cultivations and lowering harvest yields, which as a consequence substantially reduces food production efficiency. Fungi of the Botrytis, Colletotrichum and Verticillium genera are a main concern in berry production. However, no rapid detection method for detecting all of these pathogens simultaneously has been developed to date. Therefore, in this study, a multiplex real-time PCR assay for this purpose was established. Universal fungal primers for the D2 region of the large subunit ribosomal DNA and three multiplexable fluorogenic probes specific for the chosen fungi were designed and deployed. The triplex approach for the molecular detection of these fungi, which was developed in this study, allows for the rapid and effective detection of crucial berry pathogens, which contributes to a more rapid implementation of protective measures in plantations and a significant reduction in losses caused by fungal diseases.

Multiplex qPCR Assay for Direct Detection and Quantification of Colletotrichum truncatum, Corynespora cassiicola, and Sclerotinia sclerotiorum in Soybean Seeds

Precise diagnosis of plant diseases is one of the most effective tools to minimize yield losses. Colletotrichum truncatum, Corynespora cassiicola, and Sclerotinia sclerotiorum are common soilborne pathogens that affect soybeans all over the world. We developed a multiplex quantitative real-time polymerase chain reaction (qPCR) assay to simultaneously detect and quantify the three pathogens in soybean seeds and to survey their occurrence in the main soybean production areas in Brazil. Species-specific primers and probes for C. truncatum and C. cassiicola were designed based on GAPDH and TEF1 genes, respectively, to be combined with qPCR detection of S. sclerotiorum previously reported. The multiplex qPCR assay was successful in the simultaneous detection of C. truncatum, C. cassiicola, and S. sclerotiorum, along with a host internal control. The four pathogens were detected and quantified in artificially and naturally infested soybean seeds, even in the lowest incidence level tested of 0.0625% or 1 infected seed out of 1,599 healthy ones. From 81 seed samples tested, C. truncatum was the most frequently detected pathogen and with higher incidence levels (0.25 to 0.125%), followed by S. sclerotiorum and C. cassiicola, both with lower incidence levels (0.125 to 0.0625%). Together, the results evidenced the high sensitivity of the multiplex qPCR assay, indicating its usefulness for a quick and reliable diagnosis of soybean diseases in seeds.

First Report of Colletotrichum brevisporum Causing Soybean Anthracnose in China

In March 2020, widespread anthracnose was observed on soybean (Glycine max) in southeastern Jiangsu (Nantong municipality; 120.53° E, 31.58° N) in China. Plants exhibited irregular brown necrotic lesions in stem and leaves, and pronounced wilting. The symptoms were detected in one soybean field, 0.42 ha, surrounded by healthy wheat fields. Approximately 65% of the soybean plants showed the disease symptoms, and crop yield was reduced by 28-35% with respect the yield achieved in previous years, when no symptoms were observed. The symptoms were consistent with those previously reported for anthracnose on soybean caused by Colletotrichum chlorophyti, C. cliviae and C. gloeosporioides (Barbieri et al. 2017; Mahmodi et al. 2013; Yang et al. 2012). Diseased, 3-week old plants were collected. Small pieces, approximately 1 cm2 in size, of symptomatic tissue were surface sterilized in 1.5% NaOCl for 1 min, and washed twice with sterile ddH2O. The pathogen was isolated and cultured on potato dextrose agar (Song et al. 2020), containing chloramphenicol (50 µg/mL), under darkness at 28 °C for 3 days. Sequence of internal transcribed spacer (ITS), actin (ACT), β-tubulin (TUB2) and glyceraldehyde 3-phosphate dehydrogenase (GAP/span>DH) genes was performed as reported by Yang et al. (2015). Sequences were submitted to GenBank under accession numbers MT361074 (ITS) and MT415548-MT415550 (ACT, TUB2 and GAPDH). Blast search revealed that the amplified sequences had 100% (ITS; C. brevisporum TCHD, MH883805), 97.66% (ACT; C. brevisporum S38, KY986905), 99.06% (TUB2; C. brevisporum PF-2, KY705061) and 100% (GAPDH; C. brevisporum LJTJ27, KP823797) matches to multiple C. brevisporum strains, whereas all reported C. chlorophyti, C. cliviae and C. gloeosporioides strains showed no similarity to at least 2 of the studied genes. Molecular phylogenetic tree constructed using MEGA7 confirmed the identity of the pathogen. ACT and ITS sequences were blasted separately in Muscle (https://www.ebi.ac.uk/Tools/msa/muscle/) and then combined together to make the phylogenetic tree. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura 3-parameter model, and the tree with the highest log likelihood (-1749.2186) is shown in Figure 1. The Colletotrichum strains previously found causing anthracnoseon soybean, and other relevant strains used in taxonomic analyses were included in the phylogenetic tree. Microscope observations showed the presence of 15-µm-long cylindrical conidia and septate mycelium, and agree with those reported for the morphology of C. brevisporum by Damm et al. (2019). To confirm pathogenicity, the mycelia from a 2 day-old culture on PDA was collected and suspended in sterile ddH2O (≈ 106 cells/mL) to prepare the inoculum. The pathogen was sprayed-inoculated on stem and leaves of healthy soybean plants. In control plants, sterile ddH2O was used. Inoculated plants were maintained in growth chamber at 28 °C and 50% relative humidity. Typical anthracnose symptoms were obsered 20 days after inoculation (Figure 2). C. brevisporum was reported to produce anthracnose on pumpkin, papaya, mulberry, coffee, passion fruit and pepper in China (Liu et al. 2017; Liu et al. 2019; Xue et al. 2019). Here, we report for the first time C. brevisporum causing anthracnose on soybean, an economically-relevant crop in China.

DNA sequencing, genomes and genetic markers of microbes on fruits and vegetables

The development of DNA sequencing technology has provided an effective method for studying foodborne and phytopathogenic microorganisms on fruits and vegetables (F & V). DNA sequencing has successfully proceeded through three generations, including the tens of operating platforms. These advances have significantly promoted microbial whole‐genome sequencing (WGS) and DNA polymorphism research. Based on genomic and regional polymorphisms, genetic markers have been widely obtained. These molecular markers are used as targets for PCR or chip analyses to detect microbes at the genetic level. Furthermore, metagenomic analyses conducted by sequencing the hypervariable regions of ribosomal DNA (rDNA) have revealed comprehensive microbial communities in various studies on F & V. This review highlights the basic principles of three generations of DNA sequencing, and summarizes the WGS studies of and available DNA markers for major bacterial foodborne pathogens and phytopathogenic fungi found on F & V. In addition, rDNA sequencing‐based bacterial and fungal metagenomics are summarized under three topics. These findings deepen the understanding of DNA sequencing and its application in studies of foodborne and phytopathogenic microbes and shed light on strategies for the monitoring of F & V microbes and quality control.

Specific and sensitive detection of the guava fruit anthracnose pathogen (Colletotrichum gloeosporioides) by loop-mediated isothermal amplification (LAMP) assay

Anthracnose of guava, caused by the fungus Colletotrichum gloeosporioides, is a major factor limiting worldwide guava production. Timely and accurate detection of the pathogen is important in developing a disease management strategy. Herein, a loop-mediated isothermal amplification (LAMP) assay for the specific and sensitive detection of C. gloeosporioides was developed using primers targeting the β-tubulin 2 (TUB2) gene. The optimal reaction conditions were 64 °C for 60 min. The specificity of the method was tested against C. gloeosporioides isolates, Colletotrichum spp. isolates, and isolates of other genera. Positive results were obtained only in the presence of C. gloeosporioides, whereas no cross-reaction was observed for other species. The detection limit of the LAMP assay was 10 fg of genomic DNA in a 25 μL reaction. The LAMP assay successfully detected C. gloeosporioides in guava fruit collected in the field. The results indicate that the developed LAMP assay is a simple, cost-effective, rapid, highly sensitive, and specific tool for the diagnosis of guava anthracnose caused by C. gloeosporioides and could be useful for disease management.