Toshimi Matsumoto

Influence of polymorphisms in porcine NOD2 on ligand recognition.

Nucleotide oligomerization domain 2 (NOD2) is a cytosolic pattern recognition receptor (PRR) that responds to muramyldipeptide (MDP), a component of peptidoglycans of gram positive and negative bacteria. NOD2 is involved in the modulation of signaling pathways for other PRRs, such as Toll-like receptors. Polymorphisms in NOD2 may evoke bowel disorders, and human Crohns disease is significantly correlated with mis-sense insertion of the NOD2 gene. Such polymorphisms affecting ligand recognition in the NOD2 gene may also influence bowel flora in livestock, which is compromised by bowel diseases such as diarrhea. We investigated the functional variance of mis-sense polymorphisms in ligand recognition by porcine NOD2. The 1949T>C polymorphism, located in the region encoding the hinge domain of the molecule, notably diminished the functional response of porcine NOD2 to MDP. By comparison, the 2197A>C polymorphism, localized in the region corresponding to leucine-rich repeats, significantly augmented the response of porcine NOD2 to the ligand. The 1949C allele was rare among pig breeds, suggesting that this mutation is a disadvantage to pigs in their immune response to microbes. The 2197C allele, in contrast, was widely distributed among Western breeds and is most likely to be derived from wild boars in Asia. This is the first report of a causal relationship between molecular function and polymorphisms in PRRs in non-primate, non-rodent mammals. These findings suggest that the 2197C allele might confer an immune response advantage in modern pig breeds and may be a useful marker for breeding aimed at disease resistance in pigs.

Differences in distribution of single nucleotide polymorphisms among intracellular pattern recognition receptors in pigs

Pathogens localized extracellularly or incorporated into endosomes are recognized mainly by Toll-like receptors, whereas pathogens and pathogen-derived molecules that invade into the cytoplasm of host cells typically are recognized by intracellular pattern recognition receptors (PRRs), such as retinoic acid-inducible gene (RIG)-like helicases (RLHs) and nucleotide-binding oligmerization domain (NOD)-like receptors (NLRs). RIG-I and melanoma differentiation-associated gene 5 (MDA5), which belong to the RLH family, recognize viral genomic RNA, whereas NOD2, a member of the NLR family, responds to microbial peptidoglycans. These receptors may play an important role in pig opportunistic infectious diseases, such as pneumonia and diarrhea, which markedly impair livestock productivity, such that polymorphisms of these receptor genes are potential targets of pig breeding to increase disease resistance. Here, we report single nucleotide polymorphisms (SNPs) in porcine DDX58, IFIH1, and NOD2, which encode RIG-I, MDA5, and NOD2, respectively. Interestingly, compared with DDX58 and IFIH1, NOD2 abounded in nonsynonymous SNPs both throughout the coding sequence and in sequences encoding domains important for ligand recognition, such as helicase domains for RIG-I and MDA5 and leucine-rich repeats in NOD2. These differences in the distribution of SNPs in intracellular PRRs may parallel the diversity of their ligands, which include nucleic acids and peptidoglycans.

Population structure of pigs determined by single nucleotide polymorphisms observed in assembled expressed sequence tags

We have collected more than 190000 porcine expressed sequence tags (ESTs) from full-length complementary DNA (cDNA) libraries and identified more than 2800 single nucleotide polymorphisms (SNPs). In this study, we tentatively chose 222 SNPs observed in assembled ESTs to study pigs of different breeds; 104 were selected by comparing the cDNA sequences of a Meishan pig and samples of three-way cross pigs (Landrace, Large White, and Duroc: LWD), and 118 were selected from LWD samples. To evaluate the genetic variation between the chosen SNPs from pig breeds, we determined the genotypes for 192 pig samples (11 pig groups) from our DNA reference panel with matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Of the 222 reference SNPs, 186 were successfully genotyped. A neighbor-joining tree showed that the pig groups were classified into two large clusters, namely, Euro-American and East Asian pig populations. F-statistics and the analysis of molecular variance of Euro-American pig groups revealed that approximately 25% of the genetic variations occurred because of intergroup differences. As the F(IS) values were less than the F(ST) values(,) the clustering, based on the Bayesian inference, implied that there was strong genetic differentiation among pig groups and less divergence within the groups in our samples.

Changes in gene expression in a porcine preadipocyte cell line during differentiation.

Adipocyte differentiation plays an important role in the formation of fat tissues in pigs and affects meat quality and productivity. Clarification of the nature of the pig genes that participate in adipocyte differentiation will provide a clue to the regulation of fat content and thickness in pig carcases by dietary control; it will also help to find target genes for exploring potentially useful polymorphisms for molecular breeding aimed at fat traits. We constructed a DNA oligomer microarray based on pig transcripts, and we used the array to investigate time-dependent changes in gene expression in the PSPA porcine preadipocyte cell line during differentiation into adipocytes. We selected genes with markedly altered expression (at least fivefold difference in comparison with expression in undifferentiated cells) and classified them into five groups according to gene expression pattern. In the early stage after stimulation of adipocyte differentiation, we observed up-regulation of many genes encoding proteins involved in regulating cell proliferation and transcription. Among the probes corresponding to transcripts that showed marked changes in expression, 27 were located within previously reported QTL regions for traits related to adipose tissues. These results will be valuable resources for finding the genes responsible for fat-related traits that have been identified in previous studies using various pig resource families.

Parental diagnosis of satsuma mandarin (Citrus unshiu Marc.) revealed by nuclear and cytoplasmic markers

Satsuma mandarins (Citrus unshiu Marc.) are the predominant cultivated citrus variety in Japan. Clarification of its origin would prove valuable for citrus taxonomy and mandarin breeding programs; however, current information is limited. We applied genome-wide genotyping using a 384 citrus single nucleotide polymorphism (SNP) array and MARCO computer software to investigate the satsuma mandarin parentage. Genotyping data from 206 validated SNPs were obtained to evaluate 67 citrus varieties and lines. A total of five parent–offspring relationships were newly found by MARCO based on the 206 SNP genotypes, indicating that ‘Kishuu mikan’ type mandarins (Citrus kinokuni hort. ex Tanaka accession ‘Kishuu mikan’ and ‘Nanfengmiju’) and ‘Kunenbo’ type mandarins (Citrus nobilis Lour. var. kunip Tanaka accession ‘Kunenbo’ and ‘Bendiguangju’) are possible parents of the satsuma mandarin. Moreover, cleaved amplified polymorphic sequences analysis showed that the genotypes of four regions in chloroplast DNA of ‘Kishuu mikan’ type mandarins were identical to that of the satsuma mandarin. Considering the historical background, satsuma mandarins may therefore derive from an occasional cross between a ‘Kishuu mikan’ type mandarin seed parent (derivative or synonym of ‘Nanfengmiju’) and a ‘Kunenbo’ type mandarin pollen parent (derivative or synonym of ‘Bendiguangju’).

Porcine NOD1 polymorphisms with impaired ligand recognition and their distribution in pig populations.

Nucleotide-binding oligomerization domain 1 (NOD1) is a cytosolic pattern recognition receptor that recognizes γ-d-glutamyl-meso-diaminopimelic acid (iE-DAP), a component of bacterial peptidoglycan. NOD1 is thought to be involved in the immune homeostasis mediated by intestinal microbiota as well as the host defense against infection. In this study, we identified 12 synonymous and nine nonsynonymous single nucleotide polymorphisms (SNPs) in the coding sequence of porcine NOD1 within major commercial breeds in the swine industry. Among the nonsynonymous SNPs, two amino-acid alterations located in the leucine-rich repeats region, glycine to glutamic acid at position 641 (G641E) and aspartic acid to asparagine at position 918 (D918N), impaired iE-DAP-induced activation of nuclear factor-κB. These alleles showed the recessive mode of inheritance and therefore are likely to be maintained in pig populations at high frequencies. These results suggest the possibility for improvement in disease resistance by eliminating the G641E and D918N alleles of NOD1 from commercial pig populations.

Differences in gene expression profiles for subcutaneous adipose, liver, and skeletal muscle tissues between Meishan and Landrace pigs with different backfat thicknesses

Backfat thickness is one of the most important traits of commercially raised pigs. Meishan pigs are renowned for having thicker backfat than Landrace pigs. To examine the genetic factors responsible for the differences, we first produced female crossbred pig lines by mating Landrace (L) × Large White (W) × Duroc (D) females (LWD) with Landrace (L) or Meishan (M) boars (i.e., LWD × L = LWDL for Landrace offspring and LWD × M = LWDM for the Meishan offspring). We confirmed that LWDM pigs indeed had a thicker backfat than LWDL pigs. Next, we performed gene expression microarray analysis in both genetic lines to examine differentially expressed genes (DEGs) in energy metabolism-related tissues, subcutaneous adipose (fat), liver, and longissimus dorsi muscle tissues. We analyzed the annotation of DEGs (2-fold cutoff) to functionally categorize them by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. The number of DEGs in muscle tissues of both lines was much less than that in fat and liver tissues, indicating that DEGs in muscle tissues may not contribute much to differences in backfat thickness. In contrast, several genes related to muscle (in fat tissue) and lipid metabolism (in liver tissue) were more upregulated in LWDM pigs than LWDL pigs, indicating that those DEGs might be responsible for differences in backfat thickness. The different genome-wide gene expression profiles in the fat, liver, and muscle tissues between genetic lines can provide useful information for pig breeders.