Genome‐wide SNP analysis identifies major QTL for Salmonella colonization in the chicken

Salmonella‐infected poultry products are a major source of human Salmonella infection. The prophylactic use of antimicrobials in poultry production was recently banned in the EU, increasing the need for alternative methods to control Salmonella infections in poultry flocks. Genetic selection of chickens more resistant to Salmonella colonization provides an attractive means of sustainably controlling the pathogen in commercial poultry flocks and its subsequent entry into the food chain. Analysis of different inbred chickens has shown that individual lines are consistently either susceptible or resistant to the many serovars of Salmonella that have been tested. In this study, two inbred chicken lines with differential susceptibility to Salmonella colonization (6₁^(R) and N^(S)) were used in a backcross experimental design. Unlike previous studies that used a candidate gene approach or low‐density genome‐wide screens, we have exploited a high‐density marker set of 1255 SNPs covering the whole genome to identify quantitative trait loci (QTL). Analysis of log‐transformed caecal bacterial levels between the parental lines revealed a significant difference at 1, 2, 3 and 4 days post‐infection (P < 0.05). Analysis of the genotypes of the backcross (F₁ × N) population (n = 288) revealed four QTL on chromosomes 2, 3, 12 and 25 for the two traits examined in this study: log‐transformed bacterial counts in the caeca and presence of a hardened caseous caecal core. These included one genome‐wide significant QTL on chromosome 2 at 20 Mb and three additional QTL, on chromosomes 3, 12 and 25 at 96, 15 and 1 Mb, respectively, which were significant at the chromosome‐wide level (P < 0.05). The results generated in this study will inform future breeding strategies to control these pathogens in commercial poultry flocks.     

Genome‐wide promoter methylation analysis identifies epigenetic silencing of MAPK13 in primary cutaneous melanoma

The involvement of epigenetic alterations in the pathogenesis of melanoma is increasingly recognized. Here, we performed genome‐wide DNA methylation analysis of primary cutaneous melanoma and benign melanocytic nevus interrogating 14 495 genes using BeadChip technology. This genome‐wide view of promoter methylation in primary cutaneous melanoma revealed an array of recurrent DNA methylation alterations with potential diagnostic applications. Among 106 frequently hypermethylated genes, there were many novel methylation targets and tumor suppressor genes. Highly recurrent methylation of the HOXA9, MAPK13, CDH11, PLEKHG6, PPP1R3C, and CLDN11 genes was established. Promoter methylation of MAPK13, encoding p38δ, was present in 67% of primary and 85% of metastatic melanomas. Restoration of MAPK13 expression in melanoma cells exhibiting epigenetic silencing of this gene reduced proliferation, indicative of tumor suppressive functions. This study demonstrates that DNA methylation alterations are widespread in melanoma and suggests that epigenetic silencing of MAPK13 contributes to melanoma progression.     

Genome‐wide association analysis identifies quantitative trait loci for growth in a Landrace purebred population

Growth‐related traits are complex and economically important in the livestock industry. The aim of this study was to identify quantitative trait loci (QTL) and the associated positional candidate genes affecting growth in pigs. A genome‐wide association study (GWAS) was performed using the porcine single‐nucleotide polymorphism (SNP) 60K bead chip. A mixed‐effects model and linear regression approach were used for the GWAS. The data used in the study included 490 purebred Landrace pigs. All experimental animals were genotyped with 39 438 SNPs located throughout the pig autosomes. We identified a strong association between a SNP marker on chromosome 16 and body weight at 71 days of age (ALGA0092396, P = 5.35 × 10^?9, Bonferroni adjusted P < 0.05). The SNP marker was located near the genomic region containing IRX4, which encodes iroquois homeobox 4. This SNP marker could be useful in the selective breeding program after validating its effect on other populations.     

Genome‐wide characterization and expression analysis of genetic variants in sweet orange

Heterozyosity is an important feature of many plant genomes, and is related to heterosis. Sweet orange, a highly heterozygous species, is thought to have originated from an inter‐species hybrid between pummelo and mandarin. To investigate the heterozygosity of the sweet orange genome and examine how this heterozygosity affects gene expression, we characterized the genome of Valencia orange for single nucleotide variations (SNVs), small insertions and deletions (InDels) and structural variations (SVs), and determined their functional effects on protein‐coding genes and non‐coding sequences. Almost half of the genes containing large‐effect SNVs and InDels were expressed in a tissue‐specific manner. We identified 3542 large SVs (>50 bp), including deletions, insertions and inversions. Most of the 296 genes located in large‐deletion regions showed low expression levels. RNA‐Seq reads and DNA sequencing reads revealed that the alleles of 1062 genes were differentially expressed. In addition, we detected approximately 42 Mb of contigs that were not found in the reference genome of a haploid sweet orange by de novo assembly of unmapped reads, and annotated 134 protein‐coding genes within these contigs. We discuss how this heterozygosity affects the quality of genome assembly. This study advances our understanding of the genome architecture of sweet orange, and provides a global view of gene expression at heterozygous loci.     

Genome‐wide association study identifies genomic regions of association for cruciate ligament rupture in Newfoundland dogs

Cranial cruciate ligament rupture (CCLR) is the most common cause of pelvic limb lameness in dogs. To investigate the genetic basis of canine CCLR, we conducted a genome‐wide association study using a canine SNP array in Newfoundland pedigree dogs with and without CCLR (n = 96). We identified three main chromosomal regions of CCLR association (on chromosomes 1, 3 and 33). Each of these regions was confirmed by Sequenom genotyping in a further cohort of Newfoundlands (n = 271). The results, particularly SNPs identified in the SORCS2 and SEMA5B genes, suggest that there may be neurological pathways involved in susceptibility to canine CCLR.     

Genome‐wide computational determination of the human metalloproteome

Accurate prediction of protein function in humans is important for understanding biological processes at the molecular level in biomedicine and drug design. Over a third of proteins are commonly held to bind metal, and ～10% of human proteins, to bind zinc. Therefore, an initial step in protein function prediction frequently involves predicting metal ion binding. In recent years, methods have been developed to predict a set of residues in 3D space forming the metal‐ion binding site, often with a high degree of accuracy. Here, using extensions of these methods, we provide an extensive list of human proteins and their putative metal ion binding site residues, using translated gene sequences derived from the complete, resolved human genome. Under conditions of ～90% selectivity, over 900 new human putative metal ion binding proteins are identified. A statistical analysis of resolved metal ion binding sites in the human metalloproteome is furnished and the importance of remote homology analysis is demonstrated. As an example, a novel metal‐ion binding site involving a complex of a botulinum substrate with its inhibitor is presented. On the basis of the location of the predicted site and the interactions of the contacting residues at the complex interface, we postulate that metal ion binding in this region could influence complex formation and, consequently, the functioning of the protein. Thus, this work provides testable hypotheses about novel functions of known proteins. Proteins 2015; 83:931–939. © 2015 Wiley Periodicals, Inc.