Natural genetic variants influencing type 1 diabetes in humans and in the NOD mouse.

The understanding of the genetic basis of type 1 diabetes and other autoimmune diseases and the application of that knowledge to their treatment, cure and eventual prevention has been a difficult goal to reach. Cumulative progress in both mouse and human are finally giving way to some successes and significant insights have been made in the last few years. Investigators have identified key immune tolerance-associated phenotypes in convincingly reliable ways that are regulated by specific diabetes-associated chromosomal intervals. The combination of positional genetics and functional studies is a powerful approach to the identification of downstream molecular events that are causal in disease aetiology. In the case of type 1 diabetes, the availability of several animal models, especially the NOD mouse, has complemented the efforts to localize human genes causing diabetes and has shown that some of the same genes and pathways are associated with autoimmunity in both species. There is also growing evidence that the initiation or progression of many autoimmune diseases is likely to be influenced by some of the same genes.

Fine mapping, gene content, comparative sequencing, and expression analyses support Ctla4 and Nramp1 as candidates for Idd5.1 and Idd5.2 in the nonobese diabetic mouse.

At least two loci that determine susceptibility to type 1 diabetes in the NOD mouse have been mapped to chromosome 1, Idd5.1 (insulin-dependent diabetes 5.1) and Idd5.2. In this study, using a series of novel NOD.B10 congenic strains, Idd5.1 has been defined to a 2.1-Mb region containing only four genes, Ctla4, Icos, Als2cr19, and Nrp2 (neuropilin-2), thereby excluding a major candidate gene, Cd28. Genomic sequence comparison of the two functional candidate genes, Ctla4 and Icos, from the B6 (resistant at Idd5.1) and the NOD (susceptible at Idd5.1) strains revealed 62 single nucleotide polymorphisms (SNPs), only two of which were in coding regions. One of these coding SNPs, base 77 of Ctla4 exon 2, is a synonymous SNP and has been correlated previously with type 1 diabetes susceptibility and differential expression of a CTLA-4 isoform. Additional expression studies in this work support the hypothesis that this SNP in exon 2 is the genetic variation causing the biological effects of Idd5.1. Analysis of additional congenic strains has also localized Idd5.2 to a small region (1.52 Mb) of chromosome 1, but in contrast to the Idd5.1 interval, Idd5.2 contains at least 45 genes. Notably, the Idd5.2 region still includes the functionally polymorphic Nramp1 gene. Future experiments to test the identity of Idd5.1 and Idd5.2 as Ctla4 and Nramp1, respectively, can now be justified using approaches to specifically alter or mimic the candidate causative SNPs.

Haplotype structure, LD blocks, and uneven recombination within the LRP5 gene.

Patterns of linkage disequilibrium (LD) in the human genome are beginning to be characterized, with a paucity of haplotype diversity in "LD blocks," interspersed by apparent "hot spots" of recombination. Previously, we cloned and physically characterized the low-density lipoprotein-receptor-related protein 5 (LRP5) gene. Here, we have extensively analysed both LRP5 and its flanking three genes, spanning 269 kb, for single nucleotide polymorphisms (SNPs), and we present a comprehensive SNP map comprising 95 polymorphisms. Analysis revealed high levels of recombination across LRP5, including a hot-spot region from intron 1 to intron 7 of LRP5, where there are 109 recombinants/Mb (4882 meioses), in contrast to flanking regions of 14.6 recombinants/Mb. This region of high recombination could be delineated into three to four hot spots, one within a 601-bp interval. For LRP5, three haplotype blocks were identified, flanked by the hot spots. Each LD block comprised over 80% common haplotypes, concurring with a previous study of 14 genes that showed that common haplotypes account for at least 80% of all haplotypes. The identification of hot spots in between these LD blocks provides additional evidence that LD blocks are separated by areas of higher recombination.

Real-time analysis of Polymyxa betae GST expression in infected sugar beet.

SUMMARY We have tested and developed protocols for both sequence-independent and hybridization probe real-time PCR for the detection of Polymyxa betae glutathione-S-transferase transcripts in infected sugar beet roots. When using the test on P. betae-free plants, no signal above the level of the non-template control was observed. Real-time PCR analysis of both serially diluted zoospore suspensions and infected root material demonstrated a close relationship between the threshold cycle and the amount of P. betae. Hybridization probe real-time analysis of infected plants sampled sequentially over 20 days from sowing showed that the levels of the transcript rose steadily after initial infection to a peak and then declined. Comparative time-course analyses of infection in susceptible plants and a resistant wild Beta species indicated that, whilst transcript levels in susceptible plants showed a continuing upward trend, in the resistant species they were detectable only at an extremely low level.