Risk factors for radiographic progression in psoriatic arthritis: subanalysis of the randomized controlled trial ADEPT

Introduction  

To identify independent predictors of radiographic progression in psoriatic arthritis (PsA) for patients treated with adalimumab or placebo in the Adalimumab Effectiveness in PsA Trial (ADEPT).     

A complete genetic linkage map and QTL analyses for bast fibre quality traits, yield and yield components in jute (Corchorus olitorius L.)

We report the first complete microsatellite genetic map of jute (Corchorus olitorius L.; 2n = 2 × = 14) using an F₆ recombinant inbred population. Of the 403 microsatellite markers screened, 82 were mapped on the seven linkage groups (LGs) that covered a total genetic distance of 799.9 cM, with an average marker interval of 10.7 cM. LG5 had the longest and LG7 the shortest genetic lengths, whereas LG1 had the maximum and LG7 the minimum number of markers. Segregation distortion of microsatellite loci was high (61%), with the majority of them (76%) skewed towards the female parent. Genomewide non-parametric single-marker analysis in combination with multiple quantitative trait loci (QTL)-models (MQM) mapping detected 26 definitive QTLs for bast fibre quality, yield and yield-related traits. These were unevenly distributed on six LGs, as co-localized clusters, at genomic sectors marked by 15 microsatellite loci. LG1 was the QTL-richest map sector, with the densest co-localized clusters of QTLs governing fibre yield, yield-related traits and tensile strength. Expectedly, favorable QTLs were derived from the desirable parents, except for nearly all of those for fibre fineness, which might be due to the creation of new gene combinations. Our results will be a good starting point for further genome analyses in jute.     

Development of large-scale AFLP markers in jute

Amplified fragment length polymorphism (AFLP) analysis was conducted to investigate the level of polymorphism in four jute genotypes including two genotypes (JRC 321 and CMU 010) of Corchorus capsularis (the white jute) and two genotypes (JRO 524 and PPO4) of Corchorus olitorius (the tossa jute). Out of 1024 primer combinations that were tried, as many as 281 combinations of selective primers (13 EcoRI and 64 MseI) were selected, which produced a total of 9092 amplicons, including 752 (8.3%) polymorphic bands in C. capsularis and a total of 8856 amplicons including 1477 (16.7%) polymorphic bands in C. olitorius. The average number of bands/primer combination was 32.3 for C. capsularis and 31.5 for C. olitorius. For C. capsularis, highest polymorphism of 56.6% was shown by primer combination E35M50, while for C. olitorius highest polymorphism of 50% was shown by E41M91. In C. olitorius, 30–50% polymorphism was observed with 27 primer combinations, but in C. capsularis only 3 primer combinations gave this level of polymorphism. Similarly, in C. capsularis <10% polymorphism was detected by 115 primer combinations while in C. olitorius, <10% polymorphism was shown by only 56 primer combinations. These results indicate a higher level of polymorphism in C. olitorius relative to that in C. capsularis. The occurrence of such a large number of polymorphic AFLP markers will facilitate preparation of molecular maps and QTL analysis in jute.     

Genetic analysis and molecular mapping of a new fertility restorer gene Rf8 for Triticum timopheevi cytoplasm in wheat (Triticum aestivum L.) using SSR markers

A study on mode of inheritance and mapping of fertility restorer (Rf) gene(s) using simple sequence repeat (SSR) markers was conducted in a cross of male sterile line 2041A having Triticum timopheevi cytoplasm and a restorer line PWR4099 of common wheat (Triticum aestivum L.). The F₁ hybrid was completely fertile indicating that fertility restoration is a dominant trait. Based on the pollen fertility and seed set of bagged spikes in F₂ generation, the individual plants were classified into fertile and sterile groups. Out of 120 F₂ plants, 97 were fertile and 23 sterile (based on pollen fertility) while 98 plants set ≥5 seeds/spike and 22 produced ≤4 or no seed. The observed frequency fits well into Mendelian ratio of 3 fertile: 1 sterile with χ² value of 2.84 for pollen fertility and 2.17 for seed setting indicating that the fertility restoration is governed by a single dominant gene in PWR4099. The three linked SSR markers, Xwmc503, Xgwm296 and Xwmc112 located on the chromosome 2DS were placed at a distance of 3.3, 5.8 and 6.7 cM, respectively, from the Rf gene. Since, no known Rf gene is located on the chromosome arm 2DS, the Rf gene in PWR4099 is a new gene and proposed as Rf8. The closest SSR marker, Xwmc503, linked to the Rf8 was validated in a set of Rf, maintainer and cytoplasmic male sterile lines. The closely linked SSR marker Xwmc503 may be used in marker-assisted backcross breeding facilitating the transfer of fertility restoration gene Rf8 into elite backgrounds with ease.     

QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat

In bread wheat, single-locus and two-locus QTL analyses were conducted for seven yield and yield contributing traits using two different mapping populations (P I and P II). Single-locus QTL analyses involved composite interval mapping (CIM) for individual traits and multiple-trait composite interval mapping (MCIM) for correlated yield traits to detect the pleiotropic QTLs. Two-locus analyses were conducted to detect main effect QTLs (M-QTLs), epistatic QTLs (E-QTLs) and QTL × environment interactions (QE and QQE). Only a solitary QTL for spikelets per spike was common between the above two populations. HomoeoQTLs were also detected, suggesting the presence of triplicate QTLs in bread wheat. Relatively fewer QTLs were detected in P I than in P II. This may be partly due to low density of marker loci on P I framework map (173) than in P II (521) and partly due to more divergent parents used for developing P II. Six QTLs were important which were pleiotropic/coincident involving more than one trait and were also consistent over environments. These QTLs could be utilized efficiently for marker assisted selection (MAS).     

Immunoexpression of aquaporins 1, 2, 3 and 4 in kidney of yak (Bos grunniens) on the Qinghai-Tibetan Plateau

Aquaporins (AQP) 1, 2, 3 and 4 belong to the aquaporin water channel family and play an important role in urine concentration by reabsorption of water from renal tubule fluid. Renal AQPs have not been reported in the yak (Bos grunniens), which resides in the Qinghai Tibetan Plateau. We investigated AQPs 1?4 expressions in the kidneys of Yak using immunohistochemical staining. AQP1 was expressed mainly in the basolateral and apical membranes of the proximal tubules and descending thin limb of the loop of Henle. AQP2 was detected in the apical plasma membranes of collecting ducts and distal convoluted tubules. AQP3 was located in the proximal tubule, distal tubule and collecting ducts. AQP4 was located in the collecting ducts, distal straight tubule, glomerular capillaries and peritubular capillaries. The expression pattern of AQPs 1?4 in kidney of yak was different from other species, which possibly is related to kidney function in a high altitude environment.     

Validation of QTL for grain weight using MAS-derived pairs of NILs in bread wheat (Triticum aestivum L.)

Near isogenic lines (NILs) are ideal material for a variety of genetic studies including validation of specific QTL. In the present study, eight pairs of NILs for grain weight were developed, seven in the background of Raj3765, and one in the background of K9107. For this purpose, marker-assisted selection (MAS) was used for the transfer of three grain weight QTL (QGw.ccsu-1A.2, QGw.ccsu-1A.3 and QGw.ccsu-1B.1) that were earlier identified in our laboratory. Two genotypes of each of the eight pairs of NILs, differed for QTL alleles (QTL_Hgw derived from the donor parent and the QTL_Lgw derived from the recipient parent). Each pair of NILs involved a solitary QTL except one NIL, which differed for all the three QTL. The difference in thousand grain weight (TGW) in two NILs of an individual pair ranged from 2.8 to 7.5 g, thus validating the effect of the QTL for TGW, although the quantum of difference did not always match the phenotypic variance of the corresponding QTL. As expected, the NILs which involved all the three QTL had the maximum difference of 7.5 g in TGW, and the NILs which involved QTL, QGw.ccsu-1A.2 had minimum average difference of 2.8 g for TGW. The NILs produced during the present study may be used in future for MAS and for fine mapping of TGW QTL.

     

Use of methylation filtration and C(0)t fractionation for analysis of genome composition and comparative genomics in bread wheat

We investigated the compositional and structural differences in sequences derived from different fractions of wheat genomic DNA obtained using methylation filtration and C(0)t fractionation. Comparative analysis of these sequences revealed large compositional and structural variations in terms of GC content, different structural elements including repeat sequences (e.g., transposable elements and simple sequence repeats), protein coding genes, and non-coding RNA genes. A correlation between methylation status [determined on the basis of selective inclusion/exclusion in methylation-filtered (MF) library] of different repeat elements and expression level was observed. The expression levels were determined by comparing MF sequences with expressed sequence tags (ESTs) available in the public domain. Only a limited overlap among MF, high C(0)t (HC), and ESTs was observed, suggesting that these sequences may largely either represent the low-copy non-transcribed sequences or include genes with low expression levels. Thus, these results indicated a need to study MF and HC sequences along with ESTs to fully appreciate complexity of wheat gene space.     

Orthology between genomes of Brachypodium, wheat and rice

Background

Differential expression of perforin (PRF1), a gene with a pivotal role in immune surveillance, can be attributed to differential methylation of CpG sites in its promoter region. A reproducible method for quantitative and CpG site-specific determination of perforin methylation is required for molecular epidemiologic studies of chronic diseases with immune dysfunction.

Findings

We developed a pyrosequencing based method to quantify site-specific methylation levels in 32 out of 34 CpG sites in the PRF1 promoter, and also compared methylation pattern in DNAs extracted from whole blood drawn into PAXgene blood DNA tubes (whole blood DNA) or DNA extracted from peripheral blood mononuclear cells (PBMC DNA) from the same normal subjects. Sodium bisulfite treatment of DNA and touchdown PCR were highly reproducible (coefficient of variation 1.63 to 2.18%) to preserve methylation information. Application of optimized pyrosequencing protocol to whole blood DNA revealed that methylation level varied along the promoter in normal subjects with extremely high methylation (mean 86%; range 82–92%) in the distal enhancer region (CpG sites 1–10), a variable methylation (range 49%–83%) in the methylation sensitive region (CpG sites 11–17), and a progressively declining methylation level (range 12%–80%) in the proximal promoter region (CpG sites 18–32) of PRF1. This pattern of methylation remained the same between whole blood and PBMC DNAs, but the absolute values of methylation in 30 out of 32 CpG sites differed significantly, with higher values for all CpG sites in the whole blood DNA.

Conclusion

This reproducible, site-specific and quantitative method for methylation determination of PRF1 based on pyrosequencing without cloning is well suited for large-scale molecular epidemiologic studies of diseases with immune dysfunction. PBMC DNA may be better suited than whole blood DNA for examining methylation levels in genes associated with immune function.