Development of the perceived stigma scale and the concealment of epilepsy scale for the Turkish population.

The aim of this study was to develop two culture-specific scales to measure the level of felt stigma, and level of concealment of Turkish adult people with epilepsy (PWE). For this purpose, a 10-item felt-stigma scale and a 17-item disclosure of epilepsy scale were developed and then applied to 200 adult PWE. After item and factor analyses of the stigma scale, the 10 items with a one-factor solution explained 45.6% of the variance with a 0.86 internal consistency value. Higher scores represent higher felt stigma. The concealment of epilepsy scale has 17 items loaded on one factor, which explained 45.1% of the variance. Cronbach's alpha coefficient was found to be 0.92. The higher the score, the higher the concealment of illness by the participant. For convergent validity, the relationship between stigma and disclosure scales was examined, and a positive significant relation (r=0.64, p<0.000) was found.

Benchmarking Oxford Nanopore read alignment-based insertion and deletion detection in crop plant genomes.

Structural variations (SVs) are larger polymorphisms (> 50 bp in length), which consist of insertions, deletions, inversions, duplications, and translocations. They can have a strong impact on agronomical traits and play an important role in environmental adaptation. The development of long-read sequencing technologies, including Oxford Nanopore, allows for comprehensive SV discovery and characterization even in complex polyploid crop genomes. However, many of the SV discovery pipeline benchmarks do not include complex plant genome datasets. In this study, we benchmarked insertion and deletion detection by popular long-read alignment-based SV detection tools for crop plant genomes. We used real and simulated Oxford Nanopore reads for two crops, allotetraploid Brassica napus (oilseed rape) and diploid Solanum lycopersicum (tomato), and evaluated several read aligners and SV callers across 5×, 10×, and 20× coverages typically used in re-sequencing studies. We further validated our findings using maize and soybean datasets. Our benchmarks provide a useful guide for designing Oxford Nanopore re-sequencing projects and SV discovery pipelines for crop plants.

Pan-Mitogenomics Approach Discovers Diversity and Dynamism in the Prominent Brown Rot Fungal Pathogens.

Monilinia fructicola and Monilinia laxa species are the most destructive and economically devastating fungal plant pathogens causing brown rot disease on stone and pome fruits worldwide. Mitochondrial genomes (mitogenomes) play critical roles influencing the mechanisms and directions of the evolution of fungal pathogens. The pan-mitogenomics approach predicts core and accessory regions of the mitochondrial genomes and explains the gain or loss of variation within and between species. The present study is a fungal pan-mitogenome of M. fructicola (N = 8) and M. laxa (N = 8) species. The completely sequenced and annotated mitogenomes showed high variability in size within and between the species. The mitogenomes of M. laxa were larger, ranging from 178,351 to 179,780bp, than the mitogenomes of M. fructicola, ranging from 158,607 to 167,838bp. However, size variation within the species showed that M. fructicola isolates were more variable in the size range than M. laxa isolates. All the mitogenomes included conserved mitochondrial genes, as well as variable regions including different mobile introns encoding homing endonucleases or maturase, non-coding introns, and repetitive elements. The linear model analysis supported the hypothesis that the mitogenome size expansion is due to presence of variable (accessory) regions. Gene synteny was mostly conserved among all samples, with the exception for order of the rps3 in the mitogenome of one isolate. The mitogenomes presented AT richness; however, A/T and G/C skew varied among the mitochondrial genes. The purifying selection was detected in almost all the protein-coding genes (PCGs) between the species. However, cytochrome b was the only gene showing a positive selection signal among the total samples. Combined datasets of amino acid sequences of 14 core mitochondrial PCGs and rps3 obtained from this study together with published mitochondrial genome sequences from some other species from Heliotales were used to infer a maximum likelihood (ML) phylogenetic tree. ML tree indicated that both Monilinia species highly diverged from each other as well as some other fungal species from the same order. Mitogenomes harbor much information about the evolution of fungal plant pathogens, which could be useful to predict pathogenic life strategies.

First characterization of the complete mitochondrial genome of fungal plant-pathogen Monilinia laxa which represents the mobile intron rich structure.

Monilinia laxa is an important fungal plant pathogen causing brown rot on many stone and pome fruits worldwide. Mitochondrial genome (mitogenome) plays a critical role in evolutionary biology of the organisms. This study aimed to characterize the complete mitogenome of M. laxa by using next-generation sequencing and approaches of de novo assembly and annotation. The total length of the mitogenome of M. laxa was 178,357 bp, and its structure was circular. GC content of the mitogenome was 30.1%. Annotation of the mitogenome presented 2 ribosomal RNA (rRNA) genes, 32 transfer RNA genes (tRNA), 1 gene encoding mitochondrial ribosomal protein S3, 14 protein-coding genes and 15 open reading frame encoding hypothetical proteins. Moreover, the group I mobile introns encoding homing endonucleases including LAGLIDADG and GIY-YIG families were found both within coding regions (genic) and intergenic regions of the mitogenome, indicating an enlarged size and a dynamic structure of the mitogenome. Furthermore, a comparative mitogenomic analysis was performed between M. laxa and the three closely related fungal phytopathogen species (Botryotinia fuckeliana, Sclerotinia sclerotiorum and, S. borealis). Due to the number and distribution of introns, the large extent of structural rearrangements and diverse mitogenome sizes were detected among the species investigated. Monilinia laxa presented the highest number of homing endonucleases among the fungal species considered in the analyses. This study is the first to report a detailed annotation of the mitogenome of an isolate of M. laxa, providing a solid basis for further investigations of mitogenome variations for the other Monilinia pathogens causing brown rot disease.