Additional file 3: of Hypoxia response in Arabidopsis roots infected by Plasmodiophora brassicae supports the development of clubroot

Effect of CPM normalization on genes expression profiles. Boxplots representing the expression distribution of the expressed genes (filtered) before and after CPM normalization using TMM method for Normalization Factor calculation. After normalization, the distribution of genes expression of the 24 analyzed samples is similar. (PDF 373 kb

Additional file 1: of Hypoxia response in Arabidopsis roots infected by Plasmodiophora brassicae supports the development of clubroot

Methods used for the analysis of the RNAseq dataset E-MTAB-4176 (from reference [19]). (PDF 44 kb

Osteoporosis management in primary care in the Czech Republic

Charles University in Prague, Faculty of Pharmacy in Hradec Králové Department of social and clinical pharmacy Candidate Sarka Blazkova Supervisor Jiri Vlcek Title of Doctoral Thesis Osteoporosis management in primary care in the Czech Republic Introduction: Osteoporosis (OP) is a systemic disease of the skeleton characterized by decreased bone mass and a disturbed microarchitecture of the bone tissue associated with increased risk of bone fragility and fracture. OP and its consequences are a major health, social, and economic concern, growing with aging of the population. Currently, most OP patients are not properly diagnosed and treated. In the Czech Republic, primary care that is provided by general practitioners (GPs), gynecologists and pharmacists should play a key role in identifying patients with OP. Generally available guidelines recognize GPs as fully qualified for OP management. GPs are expected to be proactive in OP risk assessment and OP prevention and treatment. In the Czech Republic, due to prescribing limitations, GPs are only authorized to prescribe anti-OP drugs via delegated prescribing. Given the primary care structure in this country, it can be expected that gynecologists will be involved in OP management in women. Unlike GPs, they are authorized to prescribe anti-OP drugs and..

Additional file 14: of Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea

Marker haplotype composition of the pea-Aphanomyces collection. (a) Name of marker haplotype carried by each line as described in Additional file 13, at each of the 14 consistent linkage disequilibrium (LD) blocks detected; dark green and red: favourable and unfavourable marker haplotypes, respectively, as defined in the Material and Methods section of the manuscript; (b) coordinates of each line of the collection on the first Multiple Factor Analysis principal component; the pea lines of the collection are ranked according to these coordinates; (c) Composition of each line in favourable and unfavourable haplotypes, is described in Additional file 13; (d) marker haplotypes with either a missing value or heterozygous score for at least one marker of a LD block. (XLSX 66 kb

Additional file 2: of Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea

Simple sequence repeat (SSR) markers used to genotype the pea-Aphanomyces collection. (a) main Aphanomyces resistance quantitative trait loci (QTL) defined in [43]. (XLSX 14 kb

Additional file 13: of Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea

Description of linkage disequilibrium (LD) block haplotypes in the pea-Aphanomyces collection. (a) LD blocks are named as described in Additional file 11; (b) Each LD block is subdivided into marker haplotypes according to its allelic composition. Marker haplotypes are named with the LD block name followed by an Arabic numeral. Only haplotypes without missing values or heterozygous markers are shown; For each LD block: (c) list of markers significantly detected by genome-wide association in the LD block; (d) the first line is a list of the markers included in the LD block (detected markers in bold font and their markers in (LD) in plain font); (e) the second line is the genetic positions of the listed markers on the genetic map described in Additional file 11; (f) following lines are the pairwise LD r 2 values between each marker defined in the LD block and the marker detected by GWA; (g) For SNP markers, ‘AA’ and ‘BB’ are allele codes of Genome Studio analysis while for SSR markers, amplicon lengths are indicated. For each Aphanomyces resistance associated marker, enhancing allele(s) is in bold dark green font and unfavourable allele(s) in bold dark red font; (h) the first line is the list of the variables significantly associated with a marker in the LD block, variables are described as in Additional file 4; (i) next lines are p-values of the marker-trait associations; (j) grey or coloured lines are mean phenotypic values ± standard error for marker haplotypes carried by more than 5 % of the lines from the pea-Aphanomyces collection, letters indicate significantly different means (Tukey-HSD, α < 0.05); dark green and red haplotypes: favourable and unfavourable haplotypes of the LD block, respectively, as defined in the Materiel and Methods section of the manuscript. (XLSX 73 kb

Additional file 6: of Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea

Clustered heatmap of correlation coefficients between disease resistance, earliness and height variables data. Variables are coded as described in Additional file 4. Only correlations with a p-value < 0.05 are shown. Colours represent level of correlation, coded as follow: dark red: r < −0.8; medium red: −0.8 < r < −0.5; light red: −0.5 < r < −0.2; white: −0.2 < r < 0.2 or p-value > 0.05; light green: 0.2 < r < 0.5; medium green: 0.5 < r < 0.8; dark green: r > 0.8. Clustering is based on the UPGMA method. (PDF 48 kb