Pathogen Density Research Articles

Using machine learning models to predict the effects of seasonal fluxes on Plesiomonas shigelloides population density

Seasonal variations (SVs) affect the population density (PD), fate, and fitness of pathogens in environmental water resources and the public health impacts. Therefore, this study is aimed at applying machine learning intelligence (MLI) to predict the impacts of SVs on P. shigelloides population density (PDP) in the aquatic milieu. Physicochemical events (PEs) and PDP from three rivers acquired via standard microbiological and instrumental techniques across seasons were fitted to MLI algorithms (linear regression (LR), multiple linear regression (MR), random forest (RF), gradient boosted machine (GBM), neural network (NN), K-nearest neighbour (KNN), boosted regression tree (BRT), extreme gradient boosting (XGB) regression, support vector regression (SVR), decision tree regression (DTR), M5 pruned regression (M5P), artificial neural network (ANN) regression (with one 10-node hidden layer (ANN10), two 6- and 4-node hidden layers (ANN64), and two 5- and 5-node hidden layers (ANN55)), and elastic net regression (ENR)) to assess the implications of the SVs of PEs on aquatic PDP. The results showed that SVs significantly influenced PDP and PEs in the water (p < 0.0001), exhibiting a site-specific pattern. While MLI algorithms predicted PDP with differing absolute flux magnitudes for the contributing variables, DTR predicted the highest PDP value of 1.707 log unit, followed by XGB (1.637 log unit), but XGB (mean-squared-error (MSE) = 0.0025; root-mean-squared-error (RMSE) = 0.0501; R2 =0.998; medium absolute deviation (MAD) = 0.0275) outperformed other models in terms of regression metrics. Temperature and total suspended solids (TSS) ranked first and second as significant factors in predicting PDP in 53.3% (8/15) and 40% (6/15), respectively, of the models, based on the RMSE loss after permutations. Additionally, season ranked third among the 7 models, and turbidity (TBS) ranked fourth at 26.7% (4/15), as the primary significant factor for predicting PDP in the aquatic milieu. The results of this investigation demonstrated that MLI predictive modelling techniques can promisingly be exploited to complement the repetitive laboratory-based monitoring of PDP and other pathogens, especially in low-resource settings, in response to seasonal fluxes and can provide insights into the potential public health risks of emerging pathogens and TSS pollution (e.g., nanoparticles and micro- and nanoplastics) in the aquatic milieu. The model outputs provide low-cost and effective early warning information to assist watershed managers and fish farmers in making appropriate decisions about water resource protection, aquaculture management, and sustainable public health protection.

Maize fungal root pathogens as affected by fertilisation and rotation with legumes

The abilities of grain legumes to fix atmospheric nitrogen are well documented, but the non-N effects of incorporating legumes into cereal-based systems are poorly understood. Continuous cropping of maize is assumed to increase maize fungal root pathogens, but few studies have documented this in sub-Saharan Africa. In this study, it was hypothesized that maize pathogen densities of F. oxysporum, F. verticillioides, F. equiseti, F. graminearum, F. chlamydosporum, C. eragostidis, M. phaseolina, Trichoderma spp., Pythium spp, Phoma spp, R. solani and E.pedicellatum are lower under legume-maize rotations than under continuous maize cropping, while fertilisation also affects pathogen densities. Field measurements were taken during the 2017/18 and 2018/19 summer growing seasons at two sites in South Africa to investigate the effect of crop rotation and fertilisation on densities of soil-borne fungal pathogens in maize. Densities of 12 pathogens on maize roots and crowns were investigated 110 days after planting using a modified DNA extraction method and qPCR technology. Maize following a legume had lower densities of F. graminearum, F. oxysporum, E. pedicellatum, and C. eragostidis at both localities. However, no consistent rotation effects were observed on densities of M. phaseolina, Trichoderma spp., Pythium spp., R. solani, Phoma spp., F. verticillioides and F. equiseti. Impacts of fertilisation on pathogen densities were also inconsistent depending on the site and season. This warrants for an integrated approach to fungal pathogen control in maize production.

Arbuscular mycorrhizal fungal‐induced tolerance is determined by fungal identity and pathogen density

Societal Impact StatementPlant‐parasitic nematodes are a major concern for global food security, and many existing control options are being phased out due to adverse impacts on the environment. Here, we show that although application of arbuscular mycorrhizal fungi (AMF) increases host tolerance to these parasites, these benefits decrease as the parasite burden increases, limiting long‐term benefits. This effect was consistent between experiments in the glasshouse and in the field environment, demonstrating the relevance of research into usable technologies. Our findings have potential to aid decision making regarding application of AMF inocula for optimum results in agricultural systems.Summary Plant‐parasitic nematodes are a leading global threat to crop production and food security aims. Control strategies based on nematicides and fertilisers are increasingly undesirable due to economic and environmental impacts. Arbuscular mycorrhizal fungi (AMF) may induce host tolerance against pests such as the potato cyst nematode (PCN). Here, we determined the impact of PCN density on the tolerance induced by AMF‐host interactions. Additionally, we evaluated the effects of five AMF inocula on PCN fitness though glasshouse and field trials. Greater PCN densities reduce the increased tolerance that AMF may confer on their hosts. This may be due to reduced mycorrhizal colonisation of hosts under higher PCN infection and potentially a threshold at which the presence of PCN severely impacts fungal growth. When tested in the field, the outcomes of AMF inoculation on crop yields were still positive. Inoculation of soil in the field also increased PCN multiplication, suggesting that AMF‐induced tolerance may become reduced in the near future when the threshold PCN density is reached. Addition of AMF to agricultural soils may provide a short‐term benefit yet lead to a long‐term detriment by increasing PCN populations. The effects observed were driven by only one out of the five introduced AMF species, indicating that the remaining species were redundant for this application. This raises important considerations for future application of AMF inocula in agricultural systems and aids our understanding of how widely used ‘beneficial’ soil amendments impact the agricultural ecosystem.

Quantifying mechanisms of coexistence in disease ecology.

Pathogen coexistence depends on ecological processes operating at both within and between-host scales, making it difficult to quantify which processes may promote or prevent coexistence. Here, we propose that adapting modern coexistence theory-traditionally applied in plant communities-to pathogen systems provides an exciting approach for examining mechanisms of coexistence operating across different spatial scales. We first overview modern coexistence theory and its mechanistic decomposition; we subsequently adapt the framework to quantify how spatial variation in pathogen density, host resources and immunity, and their interaction may promote pathogen coexistence. We apply this derivation to an example two pathogen, multiscale model comparing two scenarios with generalist and strain-specific immunity: one with demographic equivalency among pathogens and one with demographic trade-offs among pathogens. We then show how host-pathogen feedbacks generate spatial heterogeneity that promote pathogen coexistence and decompose those mechanisms to quantify how each spatial heterogeneity contributes to that coexistence. Specifically, coexistence of demographically equivalent pathogens occurs due to spatial variation in host resources, immune responses, and pathogen aggregation. With a competition-colonization trade-off, the superior colonizer requires spatial heterogeneity to coexist, whereas the superior competitor does not. Finally, we suggest ways forward for linking theory and empirical tests of coexistence in disease systems.

Health in the postpandemic city: Contested spatializations and biopolitical implications

Health and disease have been conceived as problems of urban space throughout history, and public health interventions have repeatedly been employed as spatial strategies. Critical perspectives have already utilized this special relation: Urban health is often a showcase for modes of biopolitics. We follow this example, investigating the current rearticulation of public health in the aftermath of the worldwide COVID-19 pandemic. We draw together the German debate on health in the post-pandemic city, both in the general media and in planning literature, using a discourse-analytical method and find that two contrasting narratives emerge. The urban is considered either as the expression of pathogenic spatial density or as the site of healthy social interactions. While each narrative prefigures a very different mode of intervention, both encourage a spatialization of health, with powerful implications. Distinguishing the competing rationales thus allows better decisions on ways to promote health in the city.

Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations

Even in homogeneous conditions, plants facing a soilborne pathogen tend to show a binary outcome with individuals either remaining fully healthy or developing severe to lethal disease symptoms. As the rhizosphere microbiome is a major determinant of plant health, we postulated that such a binary outcome may result from an early divergence in the rhizosphere microbiome assembly that may further cascade into varying disease suppression abilities. We tested this hypothesis by setting up a longitudinal study of tomato plants growing in a natural but homogenized soil infested with the soilborne bacterial pathogen Ralstonia solanacearum. Starting from an originally identical species pool, individual rhizosphere microbiome compositions rapidly diverged into multiple configurations during the plant vegetative growth. This variation in community composition was strongly associated with later disease development during the later fruiting state. Most interestingly, these patterns also significantly predicted disease outcomes 2 weeks before any difference in pathogen density became apparent between the healthy and diseased groups. In this system, a total of 135 bacterial OTUs were associated with persistent healthy plants. Five of these enriched OTUs (Lysinibacillus, Pseudarthrobacter, Bordetella, Bacillus, and Chryseobacterium) were isolated and shown to reduce disease severity by 30.4–100% when co-introduced with the pathogen. Overall, our results demonstrated that an initially homogenized soil can rapidly diverge into rhizosphere microbiomes varying in their ability to promote plant protection. This suggests that early life interventions may have significant effects on later microbiome states, and highlights an exciting opportunity for microbiome diagnostics and plant disease prevention.

Polyploidy and microbiome associations mediate similar responses to pathogens in Arabidopsis

It has become increasingly clear that the microbiome plays a critical role in shaping the host organism's response to disease. There also exists mounting evidence that an organism's ploidy level is important in their response to pathogens and parasites. However, no study has determined whether or how these two factors influence one another. We investigate the effect of whole-genome duplication in Arabidopsis thaliana on the above-ground (phyllosphere) microbiome and determine the interacting impacts of ploidy and microbiome on disease outcome. Using seven independently derived synthetic autotetraploid Arabidopsis accessions and a synthetic leaf-associated bacterial community, we confirm that polyploids are generally more resistant to the model pathogen Pseudomonas syringae pv. Tomato DC3000. Polyploids fare better against the pathogen than diploids do, regardless of microbial inoculation, whereas diploids harboring an intact microbiome have lower pathogen densities than those without. In addition, diploids have elevated numbers of defense-related genes that are differentially expressed in the presence of their phyllosphere microbiota, whereas polyploids exhibit some constitutively activated defenses, regardless of colonization by the synthetic community. These results imply that whole-genome duplication can enhance immunity, resulting in a decreased dependence on the microbiome for protection against pathogens.

Effect of Human Mobility on the Spatial Spread of Airborne Diseases: An Epidemic Model with Indirect Transmission.

We extended a class of coupled PDE–ODE models for studying the spatial spread of airborne diseases by incorporating human mobility. Human populations are modeled with patches, and a Lagrangian perspective is used to keep track of individuals’ places of residence. The movement of pathogens in the air is modeled with linear diffusion and coupled to the SIR dynamics of each human population through an integral of the density of pathogens around the population patches. In the limit of fast diffusion pathogens, the method of matched asymptotic analysis is used to reduce the coupled PDE–ODE model to a nonlinear system of ODEs for the average density of pathogens in the air. The reduced system of ODEs is used to derive the basic reproduction number and the final size relation for the model. Numerical simulations of the full PDE–ODE model and the reduced system of ODEs are used to assess the impact of human mobility, together with the diffusion of pathogens on the dynamics of the disease. Results from the two models are consistent and show that human mobility significantly affects disease dynamics. In addition, we show that an increase in the diffusion rate of pathogen leads to a lower epidemic.

Recent developments in antimicrobial growth promoters in chicken health: Opportunities and challenges

With a continuously increasing human population is an increasing global demand for food. People in countries with a higher socioeconomic status tend to switch their preferences from grains to meat and high-value foods. Their preference for chicken as a source of protein has grown by 70% over the last three decades. Many studies have shown the role of feed in regulating the animal gut microbiome and its impact on host health. The microbiome absorbs nutrients, digests foods, induces a mucosal immune response, maintains homeostasis, and regulates bioactive metabolites. These metabolic activities are influenced by the microbiota and diet. An imbalance in microbiota affects host physiology and progressively causes disorders and diseases. With the use of antibiotics, a shift from dysbiosis with a higher density of pathogens to homeostasis can occur. However, the progressive use of higher doses of antibiotics proved harmful and resulted in the emergence of multidrug-resistant microbes. As a result, the use of antibiotics as feed additives has been banned. Researchers, regulatory authorities, and managers in the poultry industry have assessed the challenges associated with these restrictions. Research has sought to identify alternatives to antibiotic growth promoters for poultry that do not have any adverse effects. Modulating the host intestinal microbiome by regulating dietary factors is much easier than manipulating host genetics. Research efforts have led to the identification of feed additives, including bacteriocins, immunostimulants, organic acids, phytogenics, prebiotics, probiotics, phytoncides, and bacteriophages. In contrast to focusing on one or more of these alternative bioadditives, an improved feed conversion ratio with enhanced poultry products is possible by employing a combination of feed additives. This article may be helpful in future research towards developing a sustainable poultry industry through the use of the proposed alternatives.

Multicentric Evaluation of SeeGene Allplex Real-Time PCR Assays Targeting 28 Bacterial, Microsporidal and Parasitic Nucleic Acid Sequences in Human Stool Samples.

Prior to the implementation of new diagnostic techniques, a thorough evaluation is mandatory in order to ensure diagnostic reliability. If positive samples are scarcely available, however, such evaluations can be difficult to perform. Here, we evaluated four SeeGene Allplex real-time PCR assays amplifying a total of 28 bacteria, microsporidal and parasitic nucleic acid sequence targets in human stool samples in a multicentric approach. In the assessments with strongly positive samples, sensitivity values ranging between 13% and 100% were recorded for bacteria, between 0% and 100% for protozoa and between 7% and 100% for helminths and microsporidia; for the weakly positive samples, the recorded sensitivity values for bacteria ranged from 0% to 100%; for protozoa, from 0% to 40%; and for helminths and microsporidia, from 0% to 53%. For bacteria, the recorded specificity was in the range between 87% and 100%, while a specificity of 100% was recorded for all assessed PCRs targeting parasites and microsporidia. The intra- and inter-assay variations were generally low. Specifically for some helminth species, the sensitivity could be drastically increased by applying manual nucleic acid extraction instead of the manufacturer-recommended automatic procedure, while such effects were less obvious for the bacteria and protozoa. In summary, the testing with the chosen positive control samples showed varying degrees of discordance between the evaluated Allplex assays and the applied in-house reference assays associated with higher cycle threshold values in the Allplex assays, suggesting that samples with very low pathogen densities might be missed. As the targeted species can occur as harmless colonizers in the gut of individuals in high-endemicity settings as well, future studies should aim at assessing the clinical relevance of the latter hint.

Giardia lamblia infection risk modeling in Mexico city's flood water

Abstract Urban floods can be contaminated with fecal material and pathogens. Evidence on infection risks associated with exposure to waterborne pathogens in urban floods is lacking. We address this gap by assessing the risk of infection from exposure to Giardia lamblia in urban flood water samples in Mexico City using a QMRA. Historical flood data was used to build severity indices and to test for correlations with risk of infection estimates. Results indicate similar maximal pathogen densities in urban flood water samples to those from wastewater treatment plants. Significant positive correlations between risk of G. lamblia infection and severity indices suggest that floods could act as an important source of pathogen transmission in Mexico City. Risk of infection to G. lamblia is greater in the city's periphery, which is characterized by high marginalization levels. We argue that these risks should be managed by engaging citizens and water and health authorities in decision making.

Efficacy of Chitosan Nanoparticle Loaded-Salicylic Acid and -Silver on Management of Cassava Leaf Spot Disease.

Leaf spot is one of the most important cassava diseases. Nanotechnology can be applied to control diseases and improve plant growth. This study was performed to prepare chitosan (CS) nanoparticle (NP)-loaded salicylic acid (SA) or silver (Ag) by the ionic gelation method, and to evaluate their effectiveness on reducing leaf spot disease and enhancing the growth of cassava plants. The CS (0.4 or 0.5%) and Pentasodium triphosphate (0.2 or 0.5%) were mixed with SA varying at 0.05, 0.1, or 0.2% or silver nitrate varying at 1, 2, or 3 mM to prepare three formulations of CS-NP-loaded SA named N1, N2, and N3 or CS-NP-loaded Ag named N4, N5, and N6. The results showed that the six formulations were not toxic to cassava leaves up to 800 ppm. The CS-NP-loaded SA (N3) and CS-NP-loaded Ag (N6) were more effective than the remaining formulations in reducing the disease severity and the disease index of leaf spot. Furthermore, N3 at 400 ppm and N6 at 200, 400, and 800 ppm could reduce disease severity (68.9–73.6% or 37.0–37.7%, depending on the time of treatment and the pathogen density) and enhance plant growth more than or equal to commercial fungicide or nano-fungicide products under net-house conditions. The study indicates the potential to use CS-NP-loaded SA or Ag as elicitors to manage cassava leaf spot disease.

Biocontrol of citrus bacterial canker caused by Xanthomonas citri subsp. citri by Bacillus velezensis

Microorganisms with biocontrol capabilities against plant pathogens are considered as one of the most promising approaches for healthy crop management. In this study, ethyl acetate extracts of 25 Bacillus strains were investigated for their antagonistic effect on Xanthomonas citri subsp. citri (Xcc), which causes the citrus bacterial canker (CBC) disease. Among them, 21 strains exerted antibacterial activity against wild-type Xcc strains. Based on the strength of the antibacterial activity, nine Bacillus strains were selected for 16S rRNA analysis. 16S rRNA sequence homology revealed that several strains were closely related to B. velezensis, where strains with no antibacterial activity grouped as the soil-associated community of B. amyloliquefaciens. B. velezensis Bv-21 exhibited the highest antibacterial activity against wild type and streptomycin resistant Xcc with inhibition zones of 22.91 ± 0.45 and 20.28 ± 0.53, respectively. Furthermore, B. velezensis Bv-21 strain was tested for biocontrol activity against a streptomycin-resistant XccM4 in detached susceptible citrus leaves. The strain reduced the incidence of CBC by 26.30% and pathogen density of XccM4 by 81.68% over control. The results of the study strongly suggest that B. velezensis can be used as an effective and eco-friendly biocontrol agent either by itself or as an active compound, against both, the wild-type and streptomycin-resistant Xcc.

Markovian approach to tackle competing pathogens in simplicial complex

Recent studies on network spreading dynamics often adopt pairwise interaction to describe the simple spreading process while using higher-order interaction to describe the collective behavior of the dynamical system on the network. However, the interaction between competing pathogens usually includes both pairwise and high-order interactions. Due to dynamic correlation, it is hard to solve the theory by considering two modes of interaction. Here, we propose a theoretical analysis framework based on Microscopic Markov Chain Approach (MMCA) to solve simplicial competing spreading involving pairwise and high-order interactions. Because of the competitive mechanism in the framework, a susceptible node can only be infected by one pathogen, and contagion can spread simultaneously through pairwise interactions (1-simplices) and higher-order interactions, i.e., 2-simplices. The theory and simulation agree in good accuracy on real networks and artificial networks, which reveals the validity of the theoretical analysis and indicates that the initial density of the two pathogens and the infection rate of 1-simplices act together on the process of pathogen transmission. The effect of 1-simplices and 2-simplices infection rates of two pathogens are also included in the discussion. When the average degree of the network is fixed, in the case of a larger average number of 1-simplices incidents on a node, infection rates of pathogen A is greater than infection rates of pathogen B may result in final infection density of pathogen A greater than the final infection density of pathogen B. We discuss the influences of 1-simplices average degree and 2-simplices average degree on the final infection range. We find that with the increase of 1-simplices average degree, the pathogen may undergo a transition from outbreak to death while increasing the 2-simplices average degree is more conducive to spreading. Finally, in the study of two different seed selection strategies, we find that selecting the nodes with the highest degree as seeds can promote pathogen spreading more than randomly selecting seeds.

Indirect reduction of Ralstonia solanacearum via pathogen helper inhibition

The rhizosphere microbiome forms a first line of defense against soilborne pathogens. To date, most microbiome enhancement strategies have relied on bioaugmentation with antagonistic microorganisms that directly inhibit pathogens. Previous studies have shown that some root-associated bacteria are able to facilitate pathogen growth. We therefore hypothesized that inhibiting such pathogen helpers may help reduce pathogen densities. We examined tripartite interactions between a model pathogen, Ralstonia solanacearum, two model helper strains and a collection of 46 bacterial isolates recovered from the tomato rhizosphere. This system allowed us to examine the importance of direct (effects of rhizobacteria on pathogen growth) and indirect (effects of rhizobacteria on helper growth) pathways affecting pathogen growth. We found that the interaction between rhizosphere isolates and the helper strains was the major determinant of pathogen suppression both in vitro and in vivo. We therefore propose that controlling microbiome composition to prevent the growth of pathogen helpers may become part of sustainable strategies for pathogen control.

Tomato Endophytic Bacteria Composition and Mechanism of Suppressiveness of Wilt Disease (Fusarium oxysporum).

Tomato wilt disease, caused by the Fusarium oxysporum is an ever-increasing threat for agricultural production, and unreasonable fertilization and pesticide abuse caused environmental challenge. Increasing evidence suggested that microbiomes or those associated with crops, played key roles on plant health. Plant disease dynamics were affected by multiple biotic and abiotic factors including phytopathogen population density, the genetic type of the pathogen and the host, in particular, the composition and assembly of the host-associated microbiome. However, it was unclear how pathogen invasion interaction and correlate with endophytic bacterial communities in natural field conditions. To study this, we sampled temporally the tomato plants that were exposed to F. oxysporum invasions over one crop season. High-throughput sequencing were performed to explore the correlation between agricultural practice, pathogen invasion, and endophytic microbiota communities. Results showed that pathogen invasion had clear effect on the endophytic and a strong link between increased pathogen densities and reduced abundance of Bacillus sp., which are crucial taxonomy for suppressiveness to F. oxysporum in vitro and in greenhouse condition. In summary, monitoring the dynamics of endophytic bacteria communities and densities of pathogen could thus open new avenue for more accurate disease diagnostics and high-efficiency screening antagonisms methods in the future, and our results will broaden the agricultural view of beneficial microbiota as biological control agents against plant pathogen.

Alternative food sources interfere with removal of a fungal amphibian pathogen by zooplankton

Abstract While the amphibian disease chytridiomycosis is causing ongoing population declines and biodiversity losses around the globe, efficient mitigation strategies are lacking. The free‐living zoospores of the causative agents of this disease, the chytrid pathogens Batrachochytrium dendrobatidis (Bd) and Batrachochytrium salamandrivorans (Bsal), are a potential food source for filter‐feeding micropredators as part of the aquatic food web. While consumption of zoospores can lower environmental pathogen loads, alternative food sources may interfere with pathogen removal rates. We compared the ability of three filter‐feeding zooplankton species, the cladoceran Daphnia magna, the rotifer Brachionus calyciflorus and the ostracod Heterocypris incongruens, to remove Bd zoospores in water and investigated the effect of alternative food sources, the green algae Pseudokirchneriella subcapitata and Chlorella vulgaris, on zoospore ingestion by D. magna. Daphnia magna was the only micropredator candidate that effectively removed Bd zoospores from its environment, with an average removal rate of 1,012 ± 542 GE ind.−1 hr−1 within our test system. High concentrations (1 × 105 cells/ml) of large and easily ingestible P. subcapitata reduced pathogen removal rates, whereas the small and less edible C. vulgaris did not interfere with pathogen removal. Synthesis and applications. We showed that Daphnia spp., which are keystone species in all sorts of aquatic habitats worldwide, are promising target agents for biologically mitigating chytridiomycosis infections and how natural food sources may interfere with this strategy. We also suggest potential management actions for biological disease mitigation, aiming to optimize environmental conditions for these target filter feeders, thereby reducing pathogen densities and eventually infection pressure in amphibian hosts. Examples of such management actions include, but are not limited to, removal of planktivorous fish, habitat restoration, nutrient control or agrochemical regulation in the vicinity of amphibian breeding ponds. Further studies, including field trials, are needed to confirm the effects of pathogen consumption on infection dynamics in natural situations and investigate the impact of intervention actions.

Effect of maternal separation and transportation stress on the bovine upper respiratory tract microbiome and the immune response to resident opportunistic pathogens

BackgroundThe bovine upper respiratory tract (URT) microbiome includes opportunistic pathogens that cause respiratory disease and stress associated with maternal separation and transportation contributes to the severity of this respiratory disease. Stress is known to alter the gut microbiome but little is known regarding the effect of stress on the URT microbiota. This study used six-month old suckling beef calves to investigate whether maternal separation (weaned), by itself or combined with transportation (weaned + transport), altered the URT microbiome and host immune responses to resident opportunistic pathogens.ResultsTaxonomic and functional composition of the URT microbiome in suckling and weaned beef calves did not change significantly when serially sampled over a one-month period. Subtle temporal changes in the URT microbiome composition were observed in weaned + transport calves. Total bacterial density was lower (p < 0.05) on day 4 post-weaning in both the weaned and weaned + transport groups when compared to suckling calves. In addition, significant (p < 0.05) temporal changes in the density of the opportunistic pathogens, M. haemolytica and P. multocida, were observed independent of treatment but these changes did not correlate with significantly increased (p < 0.05) serum antibody responses to both of these bacteria in the weaned and weaned + transport groups. Serum antibody responses to My. bovis, another opportunistic pathogen, remained unchanged in all treatment groups. Weaning, by itself and in combination with transportation, also had significant (p < 0.05) short- (2 to 8 days post-weaning) and long-term (28 days post-weaning) effects on the expression of adrenergic receptor genes in blood leukocytes when compared to age-matched suckling beef calves.ConclusionsMaternal separation (weaning) and transportation has minor effects on the taxonomic and functional composition of the URT microbiome and temporal changes in the density of opportunistic pathogen residing in the URT did not correlate with significant changes in immune responses to these bacteria. Significant changes in adrenergic receptor expression in blood leukocytes following weaning, with or without transportation, suggests altered neuroimmune regulation should be further investigated as a mechanism by which stress can alter host-microbiome interactions for some opportunistic respiratory pathogens that reside in the URT.

Effect of oregano water on Pythium density in soil and damping-off disease on bean plants

Pythium genus includes significant and destructive soil borne plant pathogens causing losses on many plants, especially by root rot and damping-off diseases. Like other soil borne pathogens, control of the diseases caused by this group is rather difficult. Usually fungicides are used against Pythium species, but investigations on alternative methods and chemicals gained importance because of the harmful effects of pesticides on human health and environment. Plant extracts and essential oils are among the safer alternative chemicals. Since oregano oil has high fungitoxic effect even in low concentrations, effect of oregano water, by-product of oregano oil, was investigated in this study against P. deliense, one of the most common and virulent species in Turkey. Oregano water obtained from Origanum onites, diluted with distilled water in 100, 80, 60, 40, 20, 10 and 5% rates was applied to soil and its effects on P. deliense population density in soil and severity of damping-off disease on bean plants caused by the pathogen were determined. As a result, all solutions containing oregano water over 10% rate significantly decreased pathogen populations in the soil samples taken every three days after the applications, and the least pathogen density was obtained with undiluted oregano water. Similarly, undiluted oregano water increased emergence rates of the bean seedlings and significantly decreased root and hypocotyl rot severity by suppressing the effect of the pathogen. In addition, application of oregano water supported the shoot and root development of the plants by decreasing the negative effect of the pathogen on plant growth. This study showed that oregano water was an effective alternative against Pythium related damping-off disease.

Landscape drivers of pests and pathogens abundance in arable crops

Farmers' use of fungicides and insecticides constitutes a major threat to biodiversity that is also endangering agriculture itself. Landscapes could be designed to take advantage of the dependencies of pests, pathogens and their natural enemies on elements of the landscape. Yet the complexity of the interactions makes it difficult to establish general rules. In our study, we sought to characterize the impact of the landscape on pest and pathogen prevalence, taking into account both crop and semi‐natural areas. We drew on a nine‐year national survey of 30 major pests and pathogens of arable crops, distributed throughout the latitudes of metropolitan France. We performed binomial LASSO generalized linear regressions on the pest and pathogen prevalence as a function of the landscape composition in a total of 39 880 field × year × pest observation series. We observed a strong disequilibrium between the number of pests or pathogens favored (15) and disadvantaged (2) by the area of their host crop in the landscape during the previous growing season. The impact of the host crop area during the ongoing growing season was different on pests than on pathogens: the density of most pathogens increased (11 of 17, and no decreases) while the density of a small majority of pests decreased (7 of 13, and four increases). We also found that woodlands, scrublands, hedgerows and grasslands did not have a consistent effect on the studied spectrum of pests and pathogens. Although overall the estimated effect of the landscape is small compared to the effect of the climate, a territorial coordination that generally favors crop diversity but excludes a crop at risk in a given year might prove useful in reducing pesticide use.Short abstractWe sought to identify general rules characterizing the impact of the landscape on the prevalence of pests and pathogens of arable crops. We showed that the host crop area is consistently correlated with increased pressure of the pests and pathogens the following growing season. Correlations of pests and pathogens with host crop areas in the same year or with semi‐natural components of the landscape (grasslands, hedgerows and forests) are less consistent and depend on the functional traits of the organisms involved.