Rapid Diagnosis of Soybean Seedling Blight Caused by Rhizoctonia solani and Soybean Charcoal Rot Caused by Macrophomina phaseolina Using LAMP Assays

Quadruplex and q-PCR based diagnostic assay to delineate the major quarantine and other seed-borne fungal pathogens of soybean

Soybean is one of the most important crops grown worldwide and accounting for significant global trade including transgenic soybean. The crop is attacked by several seed-borne fungal pathogens and some of them are of quarantine concern for India. Keeping in view of the risks associated with movement of soybean seeds, sensitive and reliable molecular diagnostics have been developed for precise and simultaneous detection of three pathogens of quarantine concern for India namely, Diaporthe phaseolorum (stem blight), D. longicolla (seed decay), Peronospora manshurica (downy mildew), along with Macrophomina phaseolina causing dry root rot. The targeted pathogens after isolation from imported transgenic and non-transgenic soybean seeds were identified. Quadruplex and qPCR assays were developed targeting the sequences of different genes such as Histone-3 for detection of D. longicolla and M. phaseolina. The markers DlHisF2&R2 and MpHisF1&R1 produced 265 and 309 bp amplicons for D. longicolla and M. phaseolina, respectively. Actin gene based marker DpActF1&R2 was developed for D. phaseolorum which provided 113 bp amplicon whereas, COX2 based marker PmCoxF2&R2 was developed for P. manshurica with amplified product of 152 bp. During qPCR analysis, these markers proved highly specific and sensitive for detection of these pathogens up to 0.1 pg of template DNA. Quadruplex PCR protocol was also developed by combining these specific markers which could distinguish all the targeted pathogens simultaneously in a single reaction. The developed diagnostic protocols are extremely valuable for quarantine clearance and to ensure the safe transboundary exchange and healthy conservation of germplasm in the National Genebank.

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.

Global distribution, traditional and modern detection, diagnostic, and management approaches of Rhizoctonia solani associated with legume crops

Sustainable development relies heavily on a food system that is both safe and secure. Several approaches may lead to sustainability and food safety. An increase in the cultivation of legume crops is one of the approaches for enhancing agricultural viability and ensuring adequate food supply. Legumes may increase daily intake of fiber, folate, and protein as substitutes for meat and dairy. They are also crucial in various intercropping systems worldwide. However, legume production has been hampered by Rhizoctonia solani due to its destructive lifestyle. R. solani causes blights, damping off, and rotting diseases in legume crops. Our knowledge of the global distribution of R. solani associated with legume crops (alfalfa, soybean, chickpea, pea, lentil, common bean, and peanut), detection, diagnosis, and management of legume crops diseases caused by R. solani is limited. Traditional approaches rely on the incubation of R. solani, visual examination of symptoms on host legume crops, and microscopy identification. However, these approaches are time-consuming, require technical expertise, fail to detect a minimal amount of inoculum, and are unreliable. Biochemical and molecular-based approaches have been used with great success recently because of their excellent sensitivity and specificity. Along with conventional PCR, nested PCR, multiplex PCR, real-time PCR, magnetic-capture hybridization PCR, and loop-mediated isothermal amplification have been widely used to detect and diagnose R. solani. In the future, Next-generation sequencing will likely be used to a greater extent to detect R. solani. This review outlines global distribution, survival, infection and disease cycle, traditional, biochemical, molecular, and next-generation sequencing detection and diagnostic approaches, and an overview of the resistant resources and other management strategies to cope with R. solani.

An Advanced One-Step RT-LAMP for Rapid Detection of Little cherry virus 2 Combined with High-Throughput Sequence-Based Phylogenomics Reveal Divergent Flowering Cherry Isolates

Little cherry virus 2 (LChV-2, genus Ampelovirus) is considered to be the main causal agent of the economically damaging little cherry disease, which can only be controlled by removal of infected trees. The widespread viral disease of sweet cherry (Prunus avium L.) is affecting the survival of long-standing orchards in North America and Europe, hence the dire need for an early and accurate diagnosis to establish a sound disease control strategy. The endemic presence of LChV-2 is mainly confirmed using laborious time-consuming reverse-transcription (RT-PCR). A rapid reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay targeting a conserved region of the coat protein was developed and compared with conventional RT-PCR for the specific detection of LChV-2. This affordable assay, combined with a simple RNA extraction, deploys desirable characteristics such as higher ability for faster (<15 min), more analytically sensitive (100-fold), and robust broad-range diagnosis of LChV-2 isolates from sweet cherry, ornamental flowering cherry displaying heterogenous viral etiology and, for the first time, newly identified potential insect vectors. Moreover, use of Sanger and total RNA high-throughput sequencing as complementary metaviromics approaches confirmed the LChV-2 RT-LAMP detection of divergent LChV-2 isolates in new hosts and the relationship of their whole-genome was exhaustively inferred using maximum-likelihood phylogenomics. This entails unprecedented critical understanding of a novel evolutionary clade further expanding LChV-2 viral diversity. In conclusion, this highly effective diagnostic platform facilitates strategical support for early in-field testing to reliably prevent dissemination of new LChV-2 outbreaks from propagative plant stocks or newly postulated insect vectors. Validated results and major advantages are herein thoroughly discussed, in light of the knowledge required to increase the potential accuracy of future diagnostics and the essential epidemiological considerations to proactively safeguard cherries and Prunus horticultural crop systems from little cherry disease.

A rapid colorimetric LAMP assay for detection of Rhizoctonia solani AG-1 IA causing sheath blight of rice

Rhizoctonia solani is one of the most devastating pathogens. R. solani AG-1 IA causes sheath blight in rice, maize, and other Gramineous plants. Accurate identification is essential for the effective management of this pathogen. In the present study, a set of four primers were designed viz. RSPG1, RSPG2, RSPG4, and RSPG5 for polygalacturonase (PG) gene, an important virulence factor in phytopathogenic fungi. All four primer sets showed specific amplification of 300 bp (RSPG1F/R), 375 bp (RSPG2F/R), 500 bp (RSPG4F/R) and 336 bp (RSPG5F/R) amplicons. q-PCR detection using each primer sets could detect up to 10 pg of DNA. We also designed six primers (RS_pg_F3_1/RS_pg_B3_1, RS_pg_FIP_1.1/RS-pg_BIP_1.1, and RS_pg_LF_1/RS_pg_LB_1) for PG gene. Further, a colorimetric LAMP assay developed yielded visual confirmation of the pathogen within 45 min of sample collection when coupled with rapid high throughput template preparation method (rHTTP) from infected samples. The sensitivity of the LAMP assay was as low as 1.65 fg/µl of template DNA and could effectively detect R. solani AG-1 IA from diseased plant tissues and soil samples. The LAMP assay was highly specific for R. solani as it did not show any amplification with other AG groups of R. solani and closely related fungal and bacterial outgroups. This study will help in designing an effective point of care diagnostic method for early monitoring of R. solani and thereby planning timely preventive measures against the pathogen.

New sensitive and fast detection of Little cherry virus 1 using loop-mediated isothermal amplification (RT-LAMP)

Little cherry virus 1 (LChV-1) belongs to the genus Velarivirus, family Closteroviridae, is an economically important pathogen affecting mainly cherry around the world emphasizing the impetus for its efficient and accurate on-site detection. This study describes the development of a reliable diagnostic protocol of LChV-1 based on a one-step reverse-transcription loop-mediated isothermal amplification (RT-LAMP). The protocol detects LChV-1 isolates in less than 10 min by fluorescence monitoring using a mobile detection device and is most optimal when performed at 67 °C. Sharp melting curves and unique melting temperatures (Tm) were obtained for the positive samples. Both the RT-LAMP and classical RT-PCR methods are capable of specifically detecting LChV-1 in infected leaf tissues. In addition, the RT-LAMP has remarkable advantages in comparison to RT-PCR. It is at least hundred fold more sensitive, significantly faster (allowing on-field leaf-to-result diagnostic) and efficient at minimal cost. In conclusion, this innovative RT-LAMP approach can contribute to the implementation of sustainable integrated management strategies for detection of LChV-1 in commercial orchards or for horticultural research stations. It is also suitable for decision support in phytosanitary epidemiological programs.

Development of Molecular Methods to Detect Macrophomina phaseolina from Strawberry Plants and Soil

Macrophomina phaseolina is a broad-host-range fungus that shows some degree of host preference on strawberry, and causes symptoms that include crown rot and root rot. Recently, this pathogen has affected strawberry production as fumigation practices have changed, leaving many growers in California and around the world in need of accurate, rapid diagnostic tools for M. phaseolina in soil and infected plants. This study uses next-generation sequencing and comparative genomics to identify a locus that is unique to isolates within a main genotype shared by a majority of isolates that infect strawberry. This locus was used to develop a quantitative single-tube nested TaqMan polymerase chain reaction assay which is able to quantify as little as 2 to 3 microsclerotia/g of soil with 100% genotype specificity. An isothermal assay using recombinase polymerase amplification was developed from the same locus and has been validated on over 200 infected strawberry plants with a diagnostic sensitivity of 93% and a diagnostic specificity of 99%. Together, this work demonstrates the value of using new approaches to identify loci for detection and provides valuable diagnostic tools that can be used to monitor soil and strawberry plant samples for M. phaseolina.

Endophytic fungal communities associated with field-grown soybean roots and seeds in the Huang-Huai region of China

Plants depend on beneficial interactions between roots and fungal endophytes for growth, disease suppression, and stress tolerance. In this study, we characterized the endophytic fungal communities associated with the roots and corresponding seeds of soybeans grown in the Huang-Huai region of China. For the roots, we identified 105 and 50 genera by culture-independent and culture-dependent (CD) methods, respectively, and isolated 136 fungal strains (20 genera) from the CD samples. Compared with the 52 soybean endophytic fungal genera reported in other countries, 28 of the genera we found were reported, and 90 were newly discovered. Even though Fusarium was the most abundant genus of fungal endophyte in every sample, soybean root samples from three cities exhibited diverse endophytic fungal communities, and the results between samples of roots and seeds were also significantly different. Together, we identified the major endophytic fungal genera in soybean roots and seeds, and revealed that the diversity of soybean endophytic fungal communities was influenced by geographical effects and tissues. The results will facilitate a better understanding of soybean–endophytic fungi interaction systems and will assist in the screening and utilization of beneficial microorganisms to promote healthy of plants such as soybean.