The diagnosis of novel unidentified viral plant diseases can be problematic, as the conventional methods such as real‐time PCR or ELISA may be too specific to a particular species or even strain of a virus, whilst alternatives such as electron microscopy (EM) or sap inoculation of indicator species do not usually give species level diagnosis. Next‐generation sequencing (NGS) offers an alternative solution where sequence is generated in a non‐specific fashion and identification is based on similarity searching against GenBank. The conventional and NGS techniques were applied to a damaging and apparently new disease of maize, which was first identified in Kenya in 2011. ELISA and TEM provided negative results, whilst inoculation of other cereal species identified the presence of an unidentified sap transmissible virus. RNA was purified from material showing symptoms and sequenced using a Roche 454 GS‐FLX+. Database searching of the resulting sequence identified the presence of Maize chlorotic mottle virus and Sugarcane mosaic virus, a combination previously reported to cause maize lethal necrosis disease. Over 90% of both viral genome sequences were obtained, allowing strain characterization and the development of specific real‐time PCR assays which were used to confirm the presence of the virus in material with symptoms from six different fields in two different regions of Kenya. The availability of these assays should aid the assessment of the disease and may be used for routine diagnosis. The work shows that next‐generation sequencing is a valuable investigational technique for rapidly identifying potential disease‐causing agents such as viruses.

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Lablab purpureus (L.) Sweet is a multipurpose legume that combines use as human food and animal feed in addition to serving as a cover crop for soil conservation. In this work, molecular diversity in Lablab purpureus was assessed using amplified fragment length polymorphism markers on fifty Kenyan lablab accessions obtained from farmers' fields and the Kenya National gene bank. One hundred and eighty polymorphic bands were revealed using fifteen selective primer pairs. The overall mean expected heterozygosity (He) for the five populations was 0.189. Estimates of components of molecular variance revealed that most of the genetic variation resided within populations (99%) and only 1% variance was among the populations, while Principal Coordinate Analysis showed an overlap between accessions from different geographic origins. The UPGMA cluster analysis generated from the distance matrix of the 50 assayed accessions, revealed low diversity among most of the accessions. The low diversity observed may be due to the narrow genetic base for breeding stocks, and extensive exchange of germplasm among smallholder farmers across the country. Results obtained from this study are discussed in light of the need to enhance the genetic management and improvement of this multipurpose crop species.

Maize chlorotic mottle virus (MCMV) has driven the emergence of maize lethal necrosis (MLN) worldwide, where it threatens maize production in areas of East Africa, South America, and Asia. It is thought that MCMV transmission through seed may be important for introduction of the virus in new regions. Identification of infested seed lots is critical for preventing the spread of MCMV through seed. Although methods for detecting MCMV in leaf tissue are available, diagnostic methods for its detection in seed lots are lacking. In this study, ELISA, RT-PCR, and RT-qPCR were adapted for detection of MCMV in maize seed. Purified virions of MCMV isolates from Kansas, Mexico and Kenya were then used to determine the virus detection thresholds for each diagnostic assay. No substantial differences in response were detected among the isolates in any of the three assays. The RT-PCR and a SYBRTM green-based RT-qPCR assays were >3,000 times more sensitive than commercial ELISA for MCMV detection. For ELISA using seed extracts, selection of positive and negative controls was critical, most likely because of relatively high backgrounds. Use of seed soak solutions in ELISA detected MCMV with similar sensitivity to seed extracts, produced minimal background, and required substantially less labor. ELISA and RT-PCR were both effective for detecting MCMV in seed lots from Hawaii and Kenya, with ELISA providing a reliable and inexpensive diagnostic assay that could be implemented routinely in seed testing facilities.