The EyeSAGE database, combining three different gene-profiling platforms including the authors' multidonor-derived retina/RPE SAGE libraries and existing single-donor retina/RPE libraries, is a powerful resource for definition of the retina and RPE transcriptomes. It can be used to identify retina-specific genes, including alternatively spliced transcripts and to prioritize candidate genes within mapped retinal disease regions.

Cold stress is a major factor limiting rice () production worldwide, especially at the seedling and booting stages. The identification of genes associated with cold tolerance (CT) in rice is important for sustainable food production. Here, we report the results of a genome-wide association study to identify the genetic loci associated with CT by using a 1,033-accession diversity panel. We identified five CT-related genetic loci at the booting stage. Accessions carrying multiple cold-tolerant alleles displayed a higher seed-setting rate than did accessions that had no cold-tolerant alleles or carried a single allele. At the seedling stage, eight genetic loci related to CT have been identified. Among these, was identified as the candidate gene for the genetic locus that is associated with CT in rice seedlings. A single-nucleotide polymorphism (SNP), SNP2, at position 343 in is responsible for conferring CT at the seedling stage in rice. Further analysis of the haplotype network revealed that SNP2 was present in 80.08% of the temperate accessions but only 3.8% of the ones. We used marker-assisted selection to construct a series of BCF near-isogenic lines possessing the cold-tolerant allele SNP2 When subjected to cold stress, plants carrying SNP2 survived better as seedlings and showed higher grain weight than plants carrying the SNP2 allele. The CT-related loci identified here and the functional verification of will provide genetic resources for breeding cold-tolerant varieties and for studying the molecular basis of CT in rice.

Rice blast, caused by the fungal pathogen Magnaporthe oryzae, is a major constraint to rice production worldwide. In this study, we developed monogenic near-isogenic lines (NILs) NILPi9, NILPizt, and NILPi54 carrying genes Pi9, Pizt, and Pi54, respectively, by marker assisted backcross breeding using 07GY31 as the japonica genetic background with good agronomic traits. Polygene pyramid lines (PPLs) PPLPi9+Pi54 combining Pi9 with Pi54, and PPLPizt+Pi54 combining Pizt with Pi54 were then developed using corresponding NILs with genetic background recovery rates of more than 97%. Compared to 07GY31, the above NILs and PPLs exhibited significantly enhanced resistance frequencies (RFs) for both leaf and panicle blasts. RFs of both PPLs for leaf blast were somewhat higher than those of their own parental NILs, respectively, and PPLPizt+Pi54 exhibited higher RF for panicle blast than NILPizt and NILPi54 (P < 0.001), hinting an additive effect on the resistance. However, PPLPi9+Pi54 exhibited lower RF for panicle blast than NILPi9 (P < 0.001), failing to realize an additive effect. PPLPizt+Pi54 showed higher resistant level for panicle blast and better additive effects on the resistance than PPLPi9+Pi54. It was suggested that major R genes interacted with each other in a way more complex than additive effect in determining panicle blast resistance levels. Genotyping by sequencing analysis and extreme-phenotype genome-wide association study further confirmed the above results. Moreover, data showed that pyramiding multiple resistance genes did not affect the performance of basic agronomic traits. So the way to enhance levels of leaf and panicle blast resistances for rice breeding in this study is effective and may serve as a reference for breeders.Key Message: Resistant levels of rice blast is resulted from different combinations of major R genes, PPLPizt+Pi54 showed higher resistant level and better additive effects on the panicle blast resistance than PPLPi9+Pi54.

Based on a genomic search for linkage, a locus contributing to type 1 diabetes in a large Bedouin Arab family (19 affected relatives) maps to the long arm of chromosome 10 (10q25; nonparametric linkage ϭ 4.99; P ϭ 0.00004). All affected relatives carry one or two high-risk HLA-DR3 haplotypes that are rarely found in other family members. One chromosome 10 haplotype, the B haplotype, was transmitted from a heterozygous parent to 13 of 13 affected offspring compared to 10 of 23 unaffected siblings. Recombination events occurring on this haplotype place the susceptibility locus in an 8-cM interval between markers D10S1750 and D10S1773. Two adjacent markers, D10S592 and D10S554, showed evidence of linkage disequilibrium with the disease locus.

The results are consistent with the contribution of the MAOA gene, parenting style and their interactions to variation in the risk for early onset behavior disorders and liability to substance use disorders.