Tryphina Dube-Takaza

and 3 more

Although Zimbabwe has a wealth of livestock genetic resources and mostly are quite agriculturally dependent, there exist clear limitations and challenges regarding animal recording, genetic improvement, production efficiency and the implementation of new technologies, such as genomic selection (GS). Genomic selection incorporates genomic information with phenotypic information (breeding values) to derive genomic estimated breeding values (GEBV) and leads to an increased rate of genetic improvement. The primary principle underlying the application of genomics is that it has the most value for difficult and expensive to measure traits. Maintenance of health will be one of the biggest challenges for efficient livestock production in the next few decades. This challenge will only increase in the face of demand for animal protein, resistance to existing drugs, and the pressure to reduce the use of antibiotics in agriculture. There is probably genetic variation in susceptibility for all diseases but little has been done to make use of this variation to date. In part this is because it is very difficult as well as expensive to measure this variation. This suggests that genomics should provide one of the ways of tackling the challenge of improving animal health. The establishing of reference populations seems beyond the capacity of many, mainly in terms of financial viability, infrastructural support and national cohesion. Genomic technology however holds potential for the introgression of favorable genes in resource-poor livestock production systems and traceability of livestock products. This paper will discuss overview of genomic selection for improved animal health and review challenges and opportunities in Zimbabwe.
AbstractA lot of research has focused on investigating  mechanisms  of vegetative desiccation tolerance in resurrection plants. Various approaches have been used to undertake such research and these include high throuput approaches such as the 'omics' - transcriptomics and metabolomics. Proteomics has since become more prefarable than transcriptomics as it it provides a view of the end-point of gene expression. However, most proteomics investigations in literature publish differentially expresses protein lists and attempt to interpret such lists in isolation. This is despite the fact that proteins do not act in isolation.  A comprehensive bioinformatics investigation can reveal more information on the desiccation tolerance mechanism of resurrection plants. In this work, a comprehensive bioinformatic analysis of the published proteomic results in  Ingle et al. (2007) was carried out. GeneMania was used to carry out protein-protein interaction studies while ClueGo was used to identify GO biological process terms.  A preliminary map of protein-protein interactions was built up and these led to the  predicted of more proteins that are likely to to be connect to the ones identified by Ingle et al. (2007).  Briefly, whereas 2DE proteomics identified 17 proteins as being differentially regulated  (4 de novo, 6 up-regulated and 7 down-regulated), GeneMania managed to add 57 more proteins  to the network (de novo - 20, up-regulated - 17 and down-regulated - 20). Each protein set has unique GO biological process terms overrepresented in it.  This study explores the protein pathways affected by desiccation stress from an interactomic prospective highlighting the importance of advanced bioinformatic analysis.   Introduction  Resurrection plants can survive extreme water loss and survive long periods in an abiotic state and upon watering, rapidly restore their normal metabolism (reviewed inter alia in  Farrant, 2007).  Understanding the mechanisms of desiccation tolerance (DT) in resurrection plants is important as they are deemed to be an excellent model to study the mechanisms associated with DT.   Proteomic profiling offers the opportunity to identify proteins that mediate the pathways involved in the DT mechanisms, when cells are subjected to desiccation stress.  A number of proteomics studies have been reported for leaves of some angiosperm resurrection plants during desiccation (Röhrig et al., 2006; Ingle et al., 2007; Jiang et al., 2007; Abdalla et al., 2010; Wang et al., 2010; Oliver et al., 2011; Abdalla and Rafudeen, 2012 etc.).  Since DT involves the integrated actions of many proteins, a systems-level understanding of experimentally derived proteomics data is essential to gain deeper insights into the protection mechanisms employed by resurrection plants against desiccation.  In recent years, an increasing emphasis has been put on integrated analysis of gene expression data via protein protein interactions (PPI), which are widely applied in interaction prediction, functional modules identification and protein function prediction. In this work, PPI analysis is applied to study the proteomics data obtained by Ingle et al. (2007) during the desiccation of Xerophyta viscosa leaves. In their study, using 2DE, they identified 17 desiccation responsive proteins(4 de novo, 6 up-regulated and 7 down-regulated). The aim of the work is to establish if the proteins in each set interact and if they do, the second aim would be to establish if there are any statistically significant GO biological process terms that can be observed in each set.   Methods Protein listsThe initial protein lists used in PPI analyses in this work were obtained from the 2DE data from Ingle et al. (2007) - (see Table 2 in  Ingle et al. (2007)).  Protein-protein integration  The Cytoscape v3.8.1  (Shannon et al., 2003)  app GeneMANIA (Warde-Farley et al., 2010), was used to derive the interactome of empirically determined and predicted PPIs of differentially regulated gene lists.  Protein lists for 'up-regulated', 'down-regulated' and 'de novo' proteins were used  as query lists for PPI studies.  Arabidopsis thaliana analogs of the desiccation responsive protein sets were used as query genes, and the program was run with default settings. GO biological process functional enrichment analysis The Cytoscape app ClueGO v2.5.7 (Bindea et al., 2009) was used for enrichment of GO biological process terms. ClueGO extracts the non-redundant biological information for groups of genes/proteins using GO terms and can conduct cluster – cluster comparisons. In the present study, for input, TAIR identifiers from the extended list of desiccation responsive proteins obtained from GeneMania were used as protein cluster lists and ontology terms were derived from A. thaliana.   The ClueGO ‘cluster comparison’ allowed the  identification of  biological process terms that were unique to each protein/gene list.
Floryn Lynorah Mtemeli, Irene Walter*, Ryman ShokoDepartment of Biology, Chinhoyi University of Technology, Zimbabwe*Corresponding author: AbstractThe aim of the study was to investigate the molluscicidal effects of pumpkin seeds (Curcurbita maxima) on adult, juvenile Biomphalaria, and adult Bulinus snails under laboratory conditions. This study was prompted by recent reports on Schistosoma gaining resistance to the commonly administered drug, praziquantel. Snails were exposed to water and ethanol crude extracts for 24 hours and significant concentration-dependent mortality rates were observed. Observations of the snail mortalities continued up to 72 hours. The lethal concentration of 0.02 mg/ml killed 50% of the snails (LC50) for both the water and ethanol extracts on adult Biomphalaria snails. It was noted that the mortalities were not significantly dependent on the time of the snails’ exposure to the extracts. There was a significant difference between the susceptibility of juvenile and adult snails to the ethanol extract (p = 0.016). These results suggest that pumpkin seeds have a significant molluscicidal effect on Biomphalaria and Bulinus snails. We propose that pumpkin seed extracts be considered as molluscicidal agents in a bid to control transmission of schistosomiasis. Key words: Schistosomiasis, Biomphalaria, Bulinus, molluscicidal activities  Introduction Neglected tropical diseases (NTDs) are a group of 17 major disabling conditions that are among the most common chronic infections in the world's poorest people (World Health Organisation [WHO], 2003). The NTDs afflict an estimated 1.4 billion people, whose greater population live in Africa and are among the poorest in the world, causing significant disability and impairing quality of life (Institute of Medicine, 2011). Of all NTDs, the most neglected are helminthic infections, which comprise five of the top ten NTDs in terms of Disability-Adjusted Life Years (DALYs) (Frean & Mendelson, 2013). Among these helminthic infections is schistosomiasis.Schistosomiasis commonly known as Bilharzias is caused by a digenean trematode of the genus Schistosoma (Katsurada, 1904). The intermediate hosts of all digenetic trematodes are snails and schistosomes are no exemption. In Zimbabwe, the snail vectors are Bulinus globosus for the species S. haematobium and Biomphalaria pfeifferi for S. mansoni (Chimbari, 2012). Despite schistosomiasis being one of the most persistent NTDs, treatment and disease control are based on the utilisation of a single drug, praziquantel (PZQ), otherwise called biltricide. Controlling or preventing morbidity in subjects using praziquantel has not been entirely successful in restricting transmission in high-risk areas as there have been recent reports of PZQ schistosomal resistance (Ismail et al., 1999; Augusto et al., 2017). This raises concerns about future control of the disease and demonstrates the significance of coming up with new tactics to control the disease (Wang, 2012). Optimal disease prevention can be achieved only when parasite infection or re-infection is effectually obstructed (King et al., 2015). As a responsive measure, the WHO published a report of the Strategic and Technical Advisory Group for NTDs. In the light of its call to eliminate the disease by 2025, it discourses schistosomiasis management through the ecological control of the intermediate host population of Schistosoma, snails from the Biomphalaria and Bulinus genus (WHO, 2014; Augusto et al., 2017).It is, therefore, largely agreed that regulation of the snails’ population is an essential part of the control of schistosomiasis (Mohamed et al., 2012). Chemical, biological and physical control strategies have been used on the snails (WHO, 1967; Madsen, 1983; Fagitta & Egami, 1984). Among the chemical compounds, niclosamide is recommended by the WHO as the only chemical molluscicide to be used for snail control despite recent concerns of resistance of Oncomelania snails to the molluscicide (Dai et al., 2014). The WHO, however, recommends further studies on plant molluscicides (Augusto et al., 2017). Molluscicidal plant extracts may offer affordable, locally produced, biodegradable and effectual control means in the rural parts of low-income countries where schistosomiasis is prevalent (Brachenbury, 1998). Extensive investigations may help in understanding their properties and safety as molluscicides. Pumpkins are known not only for the fruit but also for many health benefits and thus have been used for a long time in traditional medicine in many countries such as Turkey and China (Young et al., 2012). Pumpkin seeds have been used in different parts of the world as a traditional medicine for treatments of gastrointestinal parasites as anthelmintic, urinary dysfunctions, hyperplasia of prostate, dysuria, cardiovascular disease, enuresis and lowering blood glucose (Medjakovic et al., 2016). Among the studies that have been done on pumpkin seeds, their anthelmintic potential has proved to be a success on S. mansoni. However, data on their molluscicidal effects on the vectors snails is scarce. A successful trial of pumpkin seeds as a molluscicide would mean a double impact on both the vectors and the cercarial stage of the S. mansoni parasite. The impetus of this investigation was mainly based on the high cost of synthetic molluscicides such as niclosamide in Zimbabwe, their low availability as well as the time taken by the chemical compounds to degrade in the environment. Therefore, assessing the molluscicide potential of methanol and water extracts of natural compounds on the planorbid snails from the Biomphalaria and Bulinus genus would open potential cost-effective noteworthy alternatives in the control of schistosomiasis. Materials and Methods Study site The bioassays of this study were carried out in the biology laboratory and the extraction process of the seeds was done in the chemistry laboratory at Chinhoyi University of Technology, Zimbabwe. Collection of pumpkin seeds and vector snails Pumpkins were bought from a local supermarket in Chinhoyi. They were washed thoroughly and cut to separate the seeds from the fruit. Snails were randomly sampled in October in Murombedzi particularly from Madzorera dam using a sweep net. They were kept in open plastic bottles and covered with moist cotton wool to keep them alive before reaching the laboratory. Preparation of pumpkin seeds ethanolic extracts About 685g of pumpkin seeds were sun-dried for 72 hours to a moisture content of 12.4%. Approximately 600g of the seeds were milled into a fine powder using a mortar and pestle. In order to obtain the ethanolic crude extract, the maceration technique was used. Approximately 900ml of ethanol was added to 300g of refined pumpkin seed powder and left in a dark cupboard for 7 days. At the end of this period, the mixture was filtered on 0.1mm Whatman filter paper grade using an EC vacuum pump (WP6122050) and then concentrated to dryness using Buchi rotary evaporator (R-200) at 78ºC in order to obtain pure crystals of the extract. The crystals obtained were weighed and a total yield of 5g was obtained. The crystals were dissolved in distilled water. The resulting solution of 100mg/ml concentration was considered as the pure extract. Preparation of pumpkin seeds water extracts Approximately 600ml of water was added to 300g of fine pumpkin seed powder and left in a dark cupboard for seven days. The mixture was filtered on 0.1mm Whatman filter paper grade using an EC vapour pump (WP6122050) and the filtrate was concentrated to dryness on the Buchi rotary evaporator and 8g of crystals were obtained. The crystals were dissolved in 80ml distilled water and the solution of 100mg/ml concentration was considered as the pure extract. Snail rearing The snails were reared under laboratory conditions in plastic aquaria of 5L holding capacity measuring 13X12cm. The aquaria were provided with fresh water, from the dams from which the snails were taken, after every two days. No mud, sand, nor any other substratum was put in the aquaria. The laboratory in which they were kept was maintained at a room temperature of 25ºC with natural fluctuations of +/-2ºC for the duration of the research. The snails were fed on oven-dried lettuce leaves ad libitum and kept for five days before being used to allow them to acclimatise to laboratory conditions. Shedding of snails Snails were shed to certify that they were not infected by cercariae, thus ensuring the use of healthy snails only (El-sherbini et al., 2009). After being exposed to the dark for eight hours during the night, snails were placed in 300ml plastic bottles filled with non-chlorinated water and placed in direct sunlight for 8 hours. Thereafter, a drop of water from each of the bottles was transferred to a microscope slide and observed for the presence or absence of cercariae. A snail was considered to be immobile if it was entirely withdrawn into its shell. Snails that were unresponsive to forceful, mechanical stimulation or probing were considered dead. Molluscicidal activity assay During the test process, the snails were kept under normal diurnal lighting and room temperature. They were organised into two classes, established on their developmental stage and shell diameter, juveniles (below 45mm) and adults (above 45mm) (Ciomperlik et al., 2013). Preliminary molluscicidal assay tests were done to determine the minimum effective concentration. A range of six concentrations were assayed - 20%; 40%; 60%; 80% and 100% of the 100mg/ml ethanol and water extract solutions. A lethal effect in a two-hour period among all the concentrations was observed and serial dilutions of the lowest concentration (20%) were used for the molluscicidal assays. A maximum of six serial dilutions of 20% of the pure water and ethanol extracts were made as per WHO guidelines (WHO, 1983). The final concentrations of the water and ethanol extract serial dilutions were 20mg/ml; 2mg/ml; 0.2mg/ml; 0.02mg/ml; 0.002mg/ml and 0.0002mg/ml. A treatment consisted of three snails (three snails per container) of each life stage and thus fifty-three individuals of each group were used per trial. Each group was exposed to the test molluscicide along with three snails of each same life stage as controls. A 0.1 dilution of Thunder was used as positive control and plain dam water as a negative control. A second positive control of absolute ethanol was used to factor into consideration the effects of residual ethanol in the ethanol extracts. The treatments used 10ml of the six dilutions of pumpkin seeds extracts in 90ml medium. The medium used was dam water from which the snails were sampled in 300ml plastic bottles. This was done in order to reduce the number of limiting factors that could affect the snails' metabolism during the trial experiment. Each treatment and the control were carried out in triplicate. The duration of exposure to the molluscicide dilutions and control was three days. After the first 24h, the number of molluscs withdrawn into their shells, immobile and unresponsive to vigorous action was recorded. In order to ensure that the snails were indeed dead, they were placed in distilled water and observed for a two-hour period. Snails were deprived of food during the molluscicidal assays. LC 50 determination and Statistical analysis The minimum concentration required to kill 50% of the snails (LC50) values were determined using Graph pad Prism version 7.0 software (Finney, 1971) with 95% confidence limit. Mortality percentages were expressed and plotted against the log-transformed values of the extract concentrations. The non-linear regression lines obtained from this data were used to determine the LC50 values. One-way analysis of variance (ANOVA) and independent T-tests were used to determine the significant differences between mean mortality values using version IBM SPPS (Statistical Package of Social Sciences) software. Tests for normality were done using Kolmogorov Smirnov tests. Results with p< 0.05 were considered to be statistically significant.  Results