Key triggers of adaptive genetic variability of sessile oak [Q. petraea (Matt.) Liebl.] from the Balkan refugia: outlier detection and association of SNP loci from ddRAD-seq data.

Knowledge on the genetic composition of Quercus petraea in south-eastern Europe is limited despite the species' significant role in the re-colonisation of Europe during the Holocene, and the diverse climate and physical geography of the region. Therefore, it is imperative to conduct research on adaptation in sessile oak to better understand its ecological significance in the region. While large sets of SNPs have been developed for the species, there is a continued need for smaller sets of SNPs that are highly informative about the possible adaptation to this varied landscape. By using double digest restriction site associated DNA sequencing data from our previous study, we mapped RAD-seq loci to the Quercus robur reference genome and identified a set of SNPs putatively related to drought stress-response. A total of 179 individuals from eighteen natural populations at sites covering heterogeneous climatic conditions in the southeastern natural distribution range of Q. petraea were genotyped. The detected highly polymorphic variant sites revealed three genetic clusters with a generally low level of genetic differentiation and balanced diversity among them but showed a north-southeast gradient. Selection tests showed nine outlier SNPs positioned in different functional regions. Genotype-environment association analysis of these markers yielded a total of 53 significant associations, explaining 2.4-16.6% of the total genetic variation. Our work exemplifies that adaptation to drought may be under natural selection in the examined Q. petraea populations.

[Effect of diabetes on the relation between troponin T and inflammatory markers in patients on hemodialysis]. / A diabetes hatása a troponin T és a gyulladásos markerek kapcsolatára hemodializált betegekben.

INTRODUCTION: Cardiac troponin T in renal failure is used for the assessment of cardiovascular risk and mortality. Elevated cardiac troponin T levels correlate with subclinical myocardial necrosis, coronary heart disease, several echocardiographic parameters, metastatic calcification, as well as the presence of diabetes and uremic toxins. AIM: The aim of the authors was to examine the impact of factors, mainly the independent effects of inflammatory laboratory parameters, which may influence hypersensitive troponin T levels in hemodialysed patient groups with and without diabetes. METHOD: Hemodialysed patient groups with (n = 44) and without diabetes (n = 76) were studied. Difference in serum hypersensitive troponin T values before and after dialysis were analysed by paired Wilcoxon test. Factors possibly affecting the level of hypersensitive troponin T (especially inflammatory markers) were evaluated by multiregression analysis. RESULTS: Hypersensitive troponin T levels in patients without diabetes (p = 0.0003) and those with diabetes (p = 0.0032) significantly increased during hemodialysis. In patients without diabetes several factors had significant effect on hypersensitive troponin T including age (p = 0.025), duration of hemodialysis (p = 0.0002), presence of cardiovascular complications (p = 0.0002), high sensitivity C-reactive protein (p = 0.0021), white blood cell count (p = 0.038), and the monocyte ratio (p = 0.0202). However, in patients with diabetes only high sensitivity C-reactive protein (p = 0.0024) showed association with hypersensitive troponin T levels. CONCLUSIONS: In hemodyalised patients with and without diabetes the hypersensitive troponin T levels are differently influenced by clinical and inflammatory laboratory parameters, which should be taken into consideration during clinical judgement.

Soil Parameters and Forest Structure Commonly Form the Microbiome Composition and Activity of Topsoil Layers in Planted Forests.

Soil bacterial communities play a remarkable role in nutrient cycling, significantly affecting soil organic material content, soil fertility, and, in an indirect way, plant succession processes. Conversely, vegetation type influences microbial soil life. The present study compared the bacterial microbiome composition, diversity and catabolic activity profile of topsoil samples collected under three different forest types (a twice-coppiced black locust stand, a young, naturally reforested, and a middle-aged mixed pedunculate oak stand) planted on former arable land in the early 20th century. Diversity indices determined during 16S ribosomal RNA sequencing-based metagenome analysis indicated that the black locust stand had the highest soil bacterial community diversity. At the phylum level, Acidobacteriota, Actinobacteriota, Proteobacteria, Verrucomicrobiota, Bacteroidota, and Gemmatimonadota were the most abundant taxa in the forest soils. Concerning soil parameters, redundancy analysis revealed that pH had the highest impact on bacterial community structure and pH, and soil organic carbon content on the samples' respiration patterns. As for catabolic activity, the recently clearcut oak forest showed the lowest substrate-induced respiration, and citrate was the main driver for the inter-stand variability of microbial activity. Our results confirm that soil parameters and forest type influence the composition and functioning of the soil bacterial microbiome.

Allelic variation in candidate genes associated with wood properties of cultivated poplars (Populus).

INTRODUCTION: Since Populus has veritable value as timber, plywood, pulp, and paper, genomic research should create the sound basis for further breeding toward desirable wood quality attributes. MATERIALS AND METHODS: In this study, we addressed the need for a research methodology that initially identifies and then characterize candidate genes encoding enzymes with wood property phenotypic traits, toward the aim of developing a genomics-based breeding technology. RESULTS: On 23 different poplar species/hybrid samples, we successfully amplified 55 primers designed on Populus trichocarpa L. Considering the number of polymorphic sites, out of 73,206 bp, 51 SNPs and 31 indel events were found. Non-synonymous single base mutations could be detected in number of 30, 21 out of 164 sequences were the number of minimum recombination events and 41 significant pairwise comparisons between loci could be detected. DISCUSSION AND CONCLUSION: Our results provide a roadmap for a future association genetic study between nucleotide diversity and precise evaluation of phenotype.

Skin Autofluorescence and Mortality in Patients on Peritoneal Dialysis.

Skin autofluorescence (SAF) is a proven prognostic factor of mortality in hemodialysis patients. Traditional and nontraditional risk factors are almost equivalent in peritoneal dialysis (PD), and cardiovascular disease (CVD) is the leading cause of death. Moreover, peritoneal glucose absorption accelerates the degenerative processes of connective tissues as in diabetes. In our study, we examined the predictive value of SAF for total mortality in the PD population. Data were collected from 198 prevalently adult Caucasian PD patients. One hundred twenty-six patients (mean age 66.2 y, men [n = 73], diabetes ratio 75/126) had anamnestic CVD (coronary heart disease, cerebrovascular disease, peripheral arterial disease). Initially, we evaluated factors affecting SAF and CVD by multivariate linear regression. Survival rates were estimated by recording clinical and demographic data associated with mortality during a 36-month follow-up using the Kaplan-Meier method. Analyses were further stratified based on the presence or absence of CVD and SAF levels above or below the upper tercile 3.61 arbitrary units.Skin autofluorescence was influenced by CVD (P < 0.01, 95% confidence interval [CI] 0.1-0.5) and white blood cell counts (P < 0.001, 95% CI 0.031-0.117). According to the Spearman correlation, SAF correlated with peritoneal cumulative glucose exposure (P = 0.02) and elapsed time in PD (P = 0.008). CVD correlated with age (P < 0.001, 95% CI 1.24-1.65) and diabetes (P < 0.001, 95% CI 2.58-10.66). More deaths were observed in the high SAF group than in the low SAF group (34/68 vs 44/130; P = 0.04). Comparing the CVD(-) low SAF group survival (mean 33.9 mos, standard error [SE] 1.39) to CVD(+) low SAF (mean 30.5 mos, SE 1.37, P = 0.03) and to CVD(+) high SAF group (mean 27.1 mos, SE 1.83, P = 0.001), the difference was significant.In conclusion, among PD patients, SAF values over 3.61 arbitrary units seem to be a predictor of mortality. The relationship among peritoneal glucose exposure, CVD, and diabetes suggests its suitability to characterize systemic cumulative glucose load in this patient population.