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Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards
No full textAgronomic practices can alter plant susceptibility to diseases and represent a promising alternative to the use of pesticides. Yet, they also alter crop quality and quantity so that the evaluation of their efficacy is not straightforward. Here we couple a compartmental epidemiological model for brown rot diffusion in fruit orchards with a fruit-tree growth model explicitly considering the role of agronomic practices over fruit quality. The new modelling framework permits us to evaluate, in terms of quantity and quality of the fruit production, management scenarios characterized by different levels of regulated deficit irrigation and crop load. Our results suggest that a moderate water stress in the final weeks of fruit development and a moderate fruit load provide effective control on the brown rot spreading, and eventually guarantee monetary returns similar to those that would be obtained in the absence of the disease
Confirmation of Fusarium root rot resistance QTL Fsp-Ps 2.1 of pea under controlled conditions
No full textDry pea production has increased substantially in North America over the last few decades. With this expansion, significant yield losses have been attributed to an escalation in Fusarium root rots in pea fields. Among the most significant rot rotting pathogenic fungal species, Fusarium solani fsp. pisi (Fsp) is one of the main causal agents of root rot of pea. High levels of partial resistance to Fsp has been identified in plant genetic resources. Genetic resistance offers one of the best solutions to control this root rotting fungus. A recombinant inbred population segregating for high levels of partial resistance, previously single nucleotide polymorphism (SNP) genotyped using genotyping-by-sequencing, was phenotyped for disease reaction in replicated and repeated greenhouse trials. Composite interval mapping was deployed to identify resistance-associated quantitative trait loci (QTL).[br/]
Three QTL were identified using three disease reaction criteria: root disease severity, ratios of diseased vs. healthy shoot heights and dry plant weights under controlled conditions using pure cultures of Fusarium solani fsp. pisi. One QTL Fsp-Ps 2.1 explains 44.4-53.4% of the variance with a narrow confidence interval of 1.2 cM. The second and third QTL Fsp-Ps3.2 and Fsp-Ps3.3 are closely linked and explain only 3.6-4.6% of the variance. All of the alleles are contributed by the resistant parent PI 180693.With the confirmation of Fsp-Ps 2.1 now in two RIL populations, SNPs associated with this region make a good target for marker-assisted selection in pea breeding programs to obtain high levels of partial resistance to Fusarium root rot caused by Fusarium solani fsp. pisi
Conformational Itinerary of Sucrose During Hydrolysis by Retaining Amylosucrase
No full textBy means of QM(DFT)/MM metadynamics we have unraveled the hydrolytic reaction mechanism of Neisseria polysaccharea amylosucrase (NpAS), a member of GH13 family. Our results provide an atomistic picture of the active site reorganization along the catalytic double-displacement reaction, clarifying whether the glycosyl-enzyme reaction intermediate features an alpha-glucosyl unit in an undistorted C-4(1) conformation, as inferred from structural studies, or a distorted S-1(3)-like conformation, as expected from mechanistic analysis of glycoside hydrolases (GHs). We show that, even though the first step of the reaction (glycosylation) results in a C-4(1) conformation, the alpha-glucosyl unit undergoes an easy conformational change toward a distorted conformation as the active site preorganizes for the forthcoming reaction step (deglycosylation), in which an acceptor molecule, i.e., a water molecule for the hydrolytic reaction, performs a nucleophilic attack on the anomeric carbon. The two conformations (C-4(1) ad E-3) can be viewed as two different states of the glycosyl-enzyme intermediate (GEI), but only the E-3 state is preactivated for catalysis. These results are consistent with the general conformational itinerary observed for alpha-glucosidases
Review: New sensors and data-driven approaches—A path to next generation phenomics
No full textAt the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics” based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts
ViSEAGO: Easier data mining of biological functions organized into clusters using Gene Ontology and semantic similarity
No full textIdentification of recessive lethal alleles in the diploid genome of a candida albicans laboratory strain unveils a potential role of repetitive sequences in buffering their deleterious impact.
No full textThe heterozygous diploid genome of Candida albicans is highly plastic, with frequent loss of heterozygosity (LOH) events. In the SC5314 laboratory strain, while LOH events are ubiquitous, a chromosome homozygosis bias is observed for certain chromosomes, whereby only one of the two homologs can occur in the homozygous state. This suggests the occurrence of recessive lethal allele(s) (RLA) preventing large-scale LOH events on these chromosomes from being stably maintained. To verify the presence of an RLA on chromosome 7 (Chr7), we utilized a system that allows (i) DNA double-strand break (DSB) induction on Chr7 by the I-SceI endonuclease and (ii) detection of the resulting long-range homozygosis. I-SceI successfully induced a DNA DSB on both Chr7 homologs, generally repaired by gene conversion. Notably, cells homozygous for the right arm of Chr7B were not recovered, confirming the presence of RLA(s) in this region. Genome data mining for RLA candidates identified a premature nonsense-generating single nucleotide polymorphism (SNP) within the HapB allele of C7_03400c whose Saccharomyces cerevisiae ortholog encodes the essential Mtr4 RNA helicase. Complementation with a wild-type copy of MTR4 rescued cells homozygous for the right arm of Chr7B, demonstrating that the mtr4K880* RLA is responsible for the Chr7 homozygosis bias in strain SC5314. Furthermore, we observed that the major repeat sequences (MRS) on Chr7 acted as hot spots for interhomolog recombination. Such recombination events provide C. albicans with increased opportunities to survive DNA DSBs whose repair can lead to homozygosis of recessive lethal or deleterious alleles. This might explain the maintenance of MRS in this species.IMPORTANCE Candida albicans is a major fungal pathogen, whose mode of reproduction is mainly clonal. Its genome is highly tolerant to rearrangements, in particular loss of heterozygosity events, known to unmask recessive lethal and deleterious alleles in heterozygous diploid organisms such as C. albicans By combining a site-specific DSB-inducing system and mining genome sequencing data of 182 C. albicans isolates, we were able to ascribe the chromosome 7 homozygosis bias of the C. albicans laboratory strain SC5314 to an heterozygous SNP introducing a premature STOP codon in the MTR4 gene. We have also proposed genome-wide candidates for new recessive lethal alleles. We additionally observed that the major repeat sequences (MRS) on chromosome 7 acted as hot spots for interhomolog recombination. Maintaining MRS in C. albicans could favor haplotype exchange, of vital importance to LOH events, leading to homozygosis of recessive lethal or deleterious alleles that inevitably accumulate upon clonality
Nutrition and environmental sustainability
No full textDiet formulation has a direct impact on the efficiency of use of nutrient and energy by pigs and poultry and, consequently, it affects nutrient and waste flow at farm level.
All the compounds found in the manure, or emitted into the air, originate from the fraction of the diet which is not retained by the animals.
The improvement of efficiency of nutrient retention by pigs and poultry is an efficient way to reduce excretion and emission from the animals.
Changing the composition of the feed is efficient to modify the chemical properties of excreta in order to reduce the gaseous emissions and the production of odours.
Changing the composition if the feed may allow to better adapt the composition of excreta to their future use for biogas production or as fertilisers.
Innovations in the development of enzymes and amino acid production have been and are still important levers for the development of low environmental impact feeding strategies for pigs and poultry.
The development of feeding strategies for reducing N and P excretion by pigs and poultry requires a good knowledge of nutrient bioavailability in feed ingredients and a precise evaluation of requirements.
Phase feeding is required for practical application of improved feeding strategies. It is facilitated by the use of computerised feeding systems with the perspective of precision feeding
An algorithm applied to national surveillance data for the early detection of major dengue outbreaks in Cambodia
No full textDengue is a national priority disease in Cambodia. The Cambodian National Dengue Surveillance System is based on passive surveillance of dengue-like inpatients reported by public hospitals and on a sentinel, pediatric hospital-based active surveillance system. This system works well to assess trends but the sensitivity of the early warning and time-lag to usefully inform hospitals can be improved. During The ECOnomic development, ECOsystem MOdifications, and emerging infectious diseases Risk Evaluation (ECOMORE) project's knowledge translation platforms, Cambodian hospital staff requested an early warning tool to prepare for major outbreaks. Our objective was therefore to find adapted tools to improve the early warning system and preparedness. Dengue data was provided by the National Dengue Control Program (NDCP) and are routinely obtained through passive surveillance. The data were analyzed at the provincial level for eight Cambodian provinces during 2008-2015. The R surveillance package was used for the analysis. We evaluated the effectiveness of Bayesian algorithms to detect outbreaks using count data series, comparing the current count to an expected distribution obtained from observations of past years. The analyses bore on 78,759 patients with dengue-like syndromes. The algorithm maximizing sensitivity and specificity for the detection of major dengue outbreaks was selected in each province. The overall sensitivity and specificity were 73% and 97%, respectively, for the detection of significant outbreaks during 2008-2015. Depending on the province, sensitivity and specificity ranged from 50% to 100% and 75% to 100%, respectively. The final algorithm meets clinicians' and decisionmakers' needs, is cost-free and is easy to implement at the provincial level