Marc-Olivier Duceppe

A new method for studying population genetics of cyst nematodes based on Pool-Seq and genomewide allele frequency analysis

Cyst nematodes are important agricultural pests responsible for billions of dollars of losses each year. Plant resistance is the most effective management tool, but it requires a close monitoring of population genetics. Current technologies for pathotyping and genotyping cyst nematodes are time‐consuming, expensive and imprecise. In this study, we capitalized on the reproduction mode of cyst nematodes to develop a simple population genetic analysis pipeline based on genotyping‐by‐sequencing and Pool‐Seq. This method yielded thousands of SNPs and allowed us to study the relationships between populations of different origins or pathotypes. Validation of the method on well‐characterized populations also demonstrated that it was a powerful and accurate tool for population genetics. The genomewide allele frequencies of 23 populations of golden nematode, from nine countries and representing the five known pathotypes, were compared. A clear separation of the pathotypes and fine genetic relationships between and among global populations were obtained using this method. In addition to being powerful, this tool has proven to be very time‐ and cost‐efficient and could be applied to other cyst nematode species.

A new method for decontamination of de novo transcriptomes using a hierarchical clustering algorithm.

Motivation: The identification of contaminating sequences in a de novo assembly is challenging because of the absence of information on the target species. For sample types where the target organism is impossible to isolate from its matrix, such as endoparasites, endosymbionts and soil‐harvested samples, contamination is unavoidable. A few post‐assembly decontamination methods are currently available but are based only on alignments to databases, which can lead to poor decontamination. Results: We present a new decontamination method based on a hierarchical clustering algorithm called MCSC. This method uses frequent patterns found in sequences to create clusters. These clusters are then linked to the target species or tagged as contaminants using classic alignment tools. The main advantage of this decontamination method is that it allows sequences to be tagged correctly even if they are unknown or misaligned to a database. Availability and Implementation: Scripts and documentation about the MCSC decontamination method are available at https://github.com/Lafond‐LapalmeJ/MCSC_Decontamination. Contact : benjamin.mimee@agr.gc.ca Supplementary information: Supplementary data are available at Bioinformatics online.

SRAP Polymorphisms Associated to Cell Wall Degradability in Lignified Stems of Alfalfa

The identification of DNA polymorphisms associated to increased cell wall (CW) degradability could accelerate the development of alfalfa (Medicago sativa L.) cultivars with superior ethanol conversion yields. Genotypes with high (D+) or low (D−) CW degradability were recently identified within a biomass-type and three winter-hardy-type populations using near-infrared reflectance spectroscopy (NIRS) prediction of CW glucose released by enzyme saccharification. In this report, we used sequence-related amplified polymorphism to search for DNA variations associated to differences in enzyme-released glucose. A bulk segregant analysis (BSA) of pooled DNA samples (20 plants/bulk) from D+, D−, and randomly chosen genotypes uncovered polymorphisms associated to CW degradability. Polymorphisms that increase or decrease in intensity between D+ and D− bulks indicated the presence of genomic regions with either positive or negative effects on CW degradability. A primer pair (Me4-R14) generated a fragment, which increased in intensity in the D+ bulk of the biomass-type population. Conversely, the amplification of that fragment declined in the D+ bulks of the winter-hardy-type populations. Interestingly, these populations differ in their degradability. Assessment of the genotypic occurrence of this fragment confirmed that polymorphism detected with BSA reflects changes in the frequency of occurrence within populations. Sequence analysis of the Me4-R14 fragment revealed homologies with sequences from Medicago truncatula, a model species for legumes with documented synteny with M. sativa. Our results show that genomic regions associated to CW degradability can be identified using the combination of BSA of genotypes with contrasted degradability and a PCR-based amplification technique.

Analysis of survival and hatching transcriptomes from potato cyst nematodes, Globodera rostochiensis and G . pallida

Potato cyst nematodes (PCNs), Globodera rostochiensis and G. pallida, cause important economic losses. They are hard to manage because of their ability to remain dormant in soil for many years. Although general knowledge about these plant parasitic nematodes has considerably increased over the past decades, very little is known about molecular events involved in cyst dormancy and hatching, two key steps of their development. Here, we have studied the progression of PCN transcriptomes from dry cysts to hatched juveniles using RNA-Seq. We found that several cell detoxification-related genes were highly active in the dry cysts. Many genes linked to an increase of calcium and water uptake were up-regulated during transition from dormancy to hydration. Exposure of hydrated cysts to host plant root exudates resulted in different transcriptional response between species. After 48 h of exposure, G. pallida cysts showed no significant modulation of gene expression while G. rostochiensis had 278 differentially expressed genes. The first G. rostochiensis significantly up-regulated gene was observed after 8 h and was coding for a transmembrane metalloprotease. This enzyme is able to activate/inactivate peptide hormones and could be involved in a cascade of events leading to hatching. Several known effector genes were also up-regulated during hatching.

Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping

Non-typhoidal Salmonella is a leading cause of foodborne illness worldwide. Prompt and accurate identification of the sources of Salmonella responsible for disease outbreaks is crucial to minimize infections and eliminate ongoing sources of contamination. Current subtyping tools including single nucleotide polymorphism (SNP) typing may be inadequate, in some instances, to provide the required discrimination among epidemiologically unrelated Salmonella strains. Prophage genes represent the majority of the accessory genes in bacteria genomes and have potential to be used as high discrimination markers in Salmonella. In this study, the prophage sequence diversity in different Salmonella serovars and genetically related strains was investigated. Using whole genome sequences of 1,760 isolates of S. enterica representing 151 Salmonella serovars and 66 closely related bacteria, prophage sequences were identified from assembled contigs using PHASTER. We detected 154 different prophages in S. enterica genomes. Prophage sequences were highly variable among S. enterica serovars with a median ± interquartile range (IQR) of 5 ± 3 prophage regions per genome. While some prophage sequences were highly conserved among the strains of specific serovars, few regions were lineage specific. Therefore, strains belonging to each serovar could be clustered separately based on their prophage content. Analysis of S. Enteritidis isolates from seven outbreaks generated distinct prophage profiles for each outbreak. Taken altogether, the diversity of the prophage sequences correlates with genome diversity. Prophage repertoires provide an additional marker for differentiating S. enterica subtypes during foodborne outbreaks.

Transcriptome-wide selection of a reliable set of reference genes for gene expression studies in potato cyst nematodes (Globodera spp.)

Relative gene expression analyses by qRT-PCR (quantitative reverse transcription PCR) require an internal control to normalize the expression data of genes of interest and eliminate the unwanted variation introduced by sample preparation. A perfect reference gene should have a constant expression level under all the experimental conditions. However, the same few housekeeping genes selected from the literature or successfully used in previous unrelated experiments are often routinely used in new conditions without proper validation of their stability across treatments. The advent of RNA-Seq and the availability of public datasets for numerous organisms are opening the way to finding better reference genes for expression studies. Globodera rostochiensis is a plant-parasitic nematode that is particularly yield-limiting for potato. The aim of our study was to identify a reliable set of reference genes to study G. rostochiensis gene expression. Gene expression levels from an RNA-Seq database were used to identify putative reference genes and were validated with qRT-PCR analysis. Three genes, GR, PMP-3, and aaRS, were found to be very stable within the experimental conditions of this study and are proposed as reference genes for future work.