The development of a robust Agrobacteriummediated transformation protocol for a recalcitrant species like bread wheat requires the identification and optimisation of the factors affecting T-DNA delivery and plant regeneration. We have used immature embryos from range of wheat varieties and the Agrobacterium strain AGL1 harbouring the pGreen-based plasmid pAL156, which contains a T-DNA incorporating the bar gene and a modified uidA (b-glucuronidase) gene, to investigate and optimise major T-DNA delivery and tissue culture variables. Factors that produced significant differences in T-DNA delivery and regeneration included embryo size, duration of pre-culture, inoculation and co-cultivation, and the presence of acetosyringone and Silwet-L77 in the media. We fully describe a protocol that allowed efficient T-DNA delivery and gave rise to 44 morphologically normal, and fully fertile, stable transgenic plants in two wheat varieties. The transformation frequency ranged from 0.3% to 3.3%. Marker-gene expression and molecular analysis demonstrated that transgenes were integrated into the wheat genome and subsequently transmitted into progeny at Mendelian ratios.

A critical step in the development of Agrobacterium tumifaciens-mediated transformation is the establishment of optimal conditions for T-DNA delivery into tissue from which whole plants can be regenerated. The efficient transformation of inflorescence tissue from 'Baldus', a commercial wheat variety, using the Agrobacterium strain AGLI harbouring the binary vector pAL156 is reported here. The effects of various factors on delivery and the transient expression of the uidA gene were studied including the duration of preculture, vacuum infiltration, the effect of sonication treatments, and Agrobacterium cell density. Optimal T-DNA delivery (as measured by uidA activity) was obtained from inflorescence tissues precultured for 21 d and sonicated. Increasing Agrobacterium cell density, the duration of inoculation/co-cultivation, and vacuum pressure, up to a threshold, increased uidA expression. The investigation of factors that influence T-DNA delivery is an important first step in the utilization of Agrobacterium in the transformation of immature wheat inflorescence tissue.

Due to the COVID-19 pandemic, many key neglected tropical disease (NTD) activities have been postponed. This hindrance comes at a time when the NTDs are progressing towards their ambitious goals for 2030. Mathematical modelling on several NTDs, namely gambiense sleeping sickness, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiases (STH), trachoma, and visceral leishmaniasis, shows that the impact of this disruption will vary across the diseases. Programs face a risk of resurgence, which will be fastest in high-transmission areas. Furthermore, of the mass drug administration diseases, schistosomiasis, STH, and trachoma are likely to encounter faster resurgence. The case-finding diseases (gambiense sleeping sickness and visceral leishmaniasis) are likely to have fewer cases being detected but may face an increasing underlying rate of new infections. However, once programs are able to resume, there are ways to mitigate the impact and accelerate progress towards the 2030 goals.

Fusarium moniliforme, the imperfect stage of the ascomycete Gibberella fujikuroi, is an economically important pathogen with a very wide host range. The genetic characteristics of isolates of the fungus collected from different regions of Ghana from maize, rice and sorghum were determined using the random amplified polymorphic DNA (RAPD) and restriction fragment length polymorphism (RFLP) techniques. The pathogenicity of the isolates was also compared on maize and rice. DNA fingerprints detected as RFLPs of ribosomal DNA and RAPDs separated the isolates into discrete groups which were generally host‐related. The possibility of a sub‐structuring of the maize population of the fungus into tissue‐related subgroups was suggested by the results. A dendrogram of the relatedness of the isolates is presented. However, the pathogenicity of the isolates on rice, measured by their ability to cause ‘bakanae’ symptoms, did not resolve the isolates into the clearly defined groups suggested by the genetic studies, and maize isolates of the fungus could cause ‘bakanae’ symptoms to the same extent as rice isolates. Similarly, some isolates identified as rice‐type isolates caused as much shoot stunting in maize as maize isolates. However, the effects of the isolates on root growth of maize seedlings showed a broad correlation with the defined genetic groups, with maize isolates of the fungus showing the greatest tendency to cause root stunting

As neglected tropical diseases approach elimination status, there is a need to develop efficient sampling strategies for confirmation (or not) that elimination criteria have been met. This is an inherently difficult task because the relative precision of a prevalence estimate deteriorates as prevalence decreases, and classic survey sampling strategies based on random sampling therefore require increasingly large sample sizes. More efficient strategies for survey design and analysis can be obtained by exploiting any spatial correlation in prevalence within a model-based geostatistics framework. This framework can be used for constructing predictive probability maps that can inform in-country decision makers of the likelihood that their elimination target has been met, and where to invest in additional sampling. We evaluated our methodology using a case study of lymphatic filariasis in Ghana, demonstrating that a geostatistical approach outperforms approaches currently used to determine an evaluation unit’s elimination status.