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Summary: Intramuscular fat (IMF) content is a critical indicator of pork quality that affects directly the purchasing desire of consumers. However, to measure IMF content is both laborious and costly, preventing our understanding of its genetic determinants and improvement. In the present study, we constructed an accurate and fast image acquisition and analysis system, to extract and calculate the digital IMF content, the proportion of fat areas in the image (PFAI) of the longissimus muscle of 1709 animals from multiple pig populations. PFAI was highly significantly correlated with marbling scores (MS; 0.95, r2 = 0.90), and also with IMF contents chemically defined for 80 samples (0.79, r2 = 0.63; more accurate than direct analysis between IMF contents and MS). The processing time for one image is only 2.31 s. Genome‐wide association analysis on PFAI for all 1709 animals identified 14 suggestive significant SNPs and 1 genome‐wide significant SNP. On MS, we identified nine suggestive significant SNPs, and seven of them were also identified in PFAI. Furthermore, the significance (−log P) values of the seven common SNPs are higher in PFAI than in MS. Novel candidate genes of biological importance for IMF content were also discovered. Our imaging systems developed for prediction of digital IMF content is closer to IMF measured by Soxhlet extraction and slightly more accurate than MS. It can achieve fast and high‐throughput IMF phenotype, which can be used in improvement of pork quality. [ABSTRACT FROM AUTHOR]

Summary: Improving litter size at birth (TNB) and the number of piglets born alive (NBA) are the main breeding goals related to litter traits, which are economically important. A better understanding of genetic architecture underlying TNB and NBA traits could increase pig production efficiency. However, most previous studies on these traits focus on additive genetic effects, while epistatic interactions underlying TNB and NBA traits has not yet been well investigated, which are essential to understand how traits‐related genes interact. Herein, we conducted genome scans of epistatic interactions underlying TNB and NBA traits in a total of 150 Chinese indigenous pigs (75 Jinhua and 75 Shengxian Spotted pigs) with high throughput genomic data. Based on SNPs with high interaction values and connectivity scores, we identified eight promising candidate genes (AKT2, TSC1, MTOR, PIK3R5, TIAM1, FGF14, RALB and ROR2) potentially associated with litter traits in pigs. Moreover, the underlying pathways, e.g., calcium ion transport, pointed out their roles in litter size‐related traits. Our findings provide new insight into genetic architecture of litter traits in pigs and will benefit economic profits in pig production. [ABSTRACT FROM AUTHOR]

Summary: Breeding for good meat quality performance while maintaining large body size and desirable carcass traits has been the major challenge for modern swine selective breeding. To address this goal, in the present work we studied five related populations produced by two commercial breeds (Berkshire and Duroc) and two Chinese breeds (Licha black pig and Lulai black pig). A single‐trait GWAS performed on 20 body size and carcass traits using a self‐developed China Chip‐1 porcine SNP50K BeadChip identified 11 genome‐wide significant QTL on nine chromosomes and 22 suggestive QTL on 15 chromosomes. For the 11 genome‐wide significant QTL, eight were detected in at least two populations, and the rest were population‐specific and only mapped in Shanxia black pig. Most of the genome‐wide significant QTL were pleiotropic; for example, the QTL around 75.65 Mb on SSC4 was associated with four traits at genome‐wide significance level. After screening the genes within 50 kb of the top SNP for each genome‐wide significant QTL, NR6A1 and VRTN were chosen as candidate genes for vertebrae number; PLAG1 and BMP2 were identified as candidate genes for body size; and MC4R was the strong candidate gene for body weight. The four genes have been reported as candidates for thoracic vertebrae number, lumbar vertebrae number, carcass length and body weight respectively in previous studies. The effects of VRTN on thoracic vertebrae number, carcass length and body length have been verified in Shanxia black pig. Therefore, the VRTN genotype could be used in gene‐assisted selection, and this could accelerate genetic improvement of body size and carcass traits in Shanxia black pig. [ABSTRACT FROM AUTHOR]

Summary: Muscle fibers are closely related to human diseases and livestock meat quality. However, the genetics basis of microRNAs (miRNAs) in regulating muscle fibers is not completely understood. In this study, we constructed the whole genome‐wide miRNA expression profiles of porcine fast‐twitch muscle [bicepsfemoris (Bf)] and slow‐twitch muscle [soleus (Sol)], and identified hundreds of miRNAs, including four skeletal muscle‐highly expressed miRNAs, ssc‐miR‐378, ssc‐let‐7f, ssc‐miR‐26a, and ssc‐miR‐27b‐3p. Moreover, we identified 63 differentially expressed (DE) miRNAs between bicepsfemoris vs. soleus, which are the key candidate miRNAs regulating the skeletal muscle fiber types. In addition, we found that the expression of DE ssc‐miR‐499‐5p was significantly correlated to the expression of Myoglobin (r = 0.6872, P < 0.0001) and Myosin heavy chain 7 (MYH7; r = 0.5408, P = 0.0020), and pH45 min (r = 0.3806, P = 0.0380) and glucose content (r = −0.4382, P = 0.0154); while the expression of DE ssc‐miR‐499‐3p was significantly correlated to the expression of Myoglobin (r = 0.5340, P = 0.0024) and pH45 min (r = 0.4857, P = 0.0065). Taken together, our data established a sound foundation for further studies on the regulatory mechanisms of miRNAs in skeletal muscle fiber conversion and meat quality traits in livestock, and could provide a genetic explanation of the role of miRNAs in human muscular diseases. [ABSTRACT FROM AUTHOR]

Summary: Anqing six‐end‐white (AQ) pig performs well on resistance to coarse fodder and disease, reproduction and meat quality, offering high potential for exploitation. Environmental conditions and strict selections from local farmers have cultivated the AQ pig to be an outstanding and unique local pig breed. Thus we aim to detect genetic positive selection signatures within the AQ pig population to explore underlying genetic mechanisms. A relative extended haplotype homozygosity (REHH) test was performed in the population of 79 AQ pigs to seek evidence demonstrating that selective actions have left an imprint on the whole genome. In total, 430 500 REHH tests were performed on 53 067 core regions with average REHH tests of 8.11, average lengths of 11.50 kb and an overall length of 610.38 Mb which accounted for 26.94% of the whole genome. Finally, a total of 1819 core haplotypes (P < 0.01) and 586 candidate genes were obtained. These genes were mainly related to meat quality (MYOG, SNX19), resistance to disease (CRISPLD2, CD14) and reproduction traits (ERBB2, NRP2). A panel of genes within the 30 top significant REHH tests was mainly categorized to traits of meat quality and disease resistance. Among 13 KEGG pathways, MAPK, GnRH and Oxytocin signaling pathways, associated with the biological processes of crucial economic traits, were noteworthy. The excellent characteristics of the AQ pig benefited from the combination of natural and human factors. We provide a sketch map that shows the distribution of selection footprints on the whole genome of AQ pig and found potential genes for future studies. [ABSTRACT FROM AUTHOR]

Summary: Intramuscular fat (IMF) is an important meat‐quality trait of pigs, which influences pork's shearing force, hydraulics, tenderness and juicy flavor. However, to achieve a higher percentage of lean meat, pigs with lower backfat thickness (BF) are intensively selected for, which may lead to a reduction in pork quality. Therefore, the objective of this study was to locate loci that affect IMF without changing BF. A single‐step GWAS was performed on 950 Duroc pigs genotyped by a 50K SNP chip in order to detect genomic variants relevant to IMF and BF. The significant SNPs detected were afterwards divided into a BF subset (seven SNPs), an IMF subset (11 SNPs) and a subset of both traits (12 SNPs), according to their P‐value and LD. After SNP and QTL annotation, our results indicated that SSC1: 167938652, 166363826, 164829874 and 167171587 might be associated with IMF without changing BF. In the subset of both traits, we found that the combined effect of ALGA0006602 (SSC1: 159538854) and 12784636 (SSC1: 160773437) might improve the IMF without changing BF. Our gene annotation result showed that TLE3, ITGA11, SMAD6, PAQR5 and [RNF152A/G × MC4RA/A] genes might affect IMF independently of BF. We believe that the SNPs and genes identified in this study will be valuable for the future molecular breeding of IMF in Duroc pigs. [ABSTRACT FROM AUTHOR]

Summary: Parathyroid hormone (PTH) is a crucial regulator of calcium homeostasis and bone remodeling, and the parathyroid hormone 1 receptor (PTH1R) belongs to a class II G‐protein‐coupled receptor. PTH activates PTH1R, which mediates catabolic and anabolic processes in the skeleton. However, the functional mechanism of PTH1R has not been thoroughly elucidated in organisms. This study identified a 51 bp indel mutation in the first intron of the PTH1R gene and elucidated the effect of this gene mutation on the growth and carcass traits in chickens. The results indicated that the 51 bp indel was significantly associated with subcutaneous fat thickness, abdominal fat weight, body weight and daily gain over 4–8 weeks. Furthermore, we found that PTH1R gene expression was highest in the kidney and liver tissues, and it showed a trend of decreasing in leg and breast muscle tissues at different embryonic stages. In addition, we examined the expression of the three genotypes of the PTH1R gene in the liver, breast muscle and abdominal fat and found that the II genotype was significantly higher than the DD and ID genotypes. In summary, these findings suggest that the PTH1R gene can serve as a potential molecular marker for chicken breeding. [ABSTRACT FROM AUTHOR]

Summary: Microtia is a congenital malformation of the external ear that can be observed in many species including sheep. However, the genetic basis of microtia still remains unclear. Here, a GWAS was conducted to investigate the genetic basis underlying microtia. A total of 55 samples from 26 microtia and 29 normal animals were genotyped with Illumina OvineHD BeadChip. The strongest significant SNP was identified on OAR6, approximating the evolutionarily conserved region of the HMX1 gene, which is related to congenital malformations of the external ear in other species such as cattle and rats. Sequencing an evolutionarily conserved region surrounding HMX1 revealed a duplication of 76 bp, which is concordant with microtia, suggesting a dominant inheritance mode. Identification of this causal mutation in the HMX1 gene indicates the role of this particular gene in the development of the external ear and provides a genetic marker for selection against microtia. [ABSTRACT FROM AUTHOR]

Summary: Differentially expressed gene (DEG) analysis is a major approach for interpreting phenotype differences and produces a large number of candidate genes. Given that it is burdensome to validate too many genes through benchwork, an urgent need exists for DEG prioritization. Here, a novel method is proposed for prioritizing bona fide DEGs by constructing the normal range of gene expression through integrating public expression data. Prioritization was performed by ranking the differences in cumulative probability for genes in case and control groups. DEGs from a study on pig muscle tissue were used to evaluate the prioritization accuracy. The results showed that the method reached an area under the receiver operating characteristic curve of 96.42% and can effectively shorten the list of candidate genes from a differential expression experiment to find novel causal genes. Our method can be easily extended to other tissues or species to promote functional research in broad applications. [ABSTRACT FROM AUTHOR]

Summary: Integrated linkage maps for each sex have been constructed for the Pacific abalone Haliotis discus hannai using three F1 mapping families based on co‐dominant markers. A total of 273 markers were placed on the female map, spanning 927.3 cM with an average interval of 3.64 cM, whereas 277 markers were mapped on the male map, covering 727.0 cM with an average spacing of 2.80 cM. Both female and male maps consisted of 18 linkage groups, corresponding well with the number of chromosomes. Furthermore, the sex‐determining locus and the green/orange shell color controlling locus were mapped to the linkage group 3 (LG3) and LG9 respectively. A marker completely linked to phenotypic sex was identified, and the sex determination system was further concluded as paternal heterogametic (males XY and females XX). Based on the segregation ratio of the shell color in the progeny, a simple recessive model of epistasis was proposed to explain the distribution of different color morphs (green, orange and blue): the recessive allele determining orange type masks the effect of the locus controlling green and blue types, whereas the dominant allele at the green/orange locus permits the expression of green and blue types controlled by another locus. The current consensus map provides a useful framework for genetic studies in the Pacific abalone. Mapping of the sex‐determining locus and the shell color‐controlling locus leads to further understanding of the mechanisms underlying these important traits. [ABSTRACT FROM AUTHOR]

Summary: Enhancers, as the genomic non‐coding sequences, play a key role in the activation of gene expression. They have been widely identified in the human genome. Pig is an important biomedical model for human health. Few studies have been performed to explore the enhancers in the pig genome. The human enhancer information may be useful to identify enhancers in the pig genome. In addition, the genetic background of pig traits could be useful to annotate human enhancers and diseases. Thus, in order to further study enhancers and their potential roles in human and pig, we developed a public database, ETph (Enhancers and their Targets in pig and human). ETph integrates the information on human enhancers, pig putative enhancers, target genes, pig QTL terms, human diseases, GO terms and the KEGG pathway. A total of 25 182 enhancers were identified in the pig genome using the human homology sequence information. Among them, 6232 high‐confidence enhancers were used to build the ETph. ETph provides a convenient platform to search, browse and download data. Moreover, a web‐based analytical tool was designed to visualize networks and topology graphs among pig putative enhancers, target genes, pig QTL traits and human diseases. ETph might provide a useful tool for researchers to investigate the genetic background of pig traits and human diseases. ETph is freely accessible at http://klab.sjtu.edu.cn/enhancer/. [ABSTRACT FROM AUTHOR]

Summary: It is well known that both British and American Pekin ducks originated from China. However, the populations differ substantially in production performance, but the genetic changes involved are still poorly understood. Herein, we sequenced 24 individual Pekin ducks (eight from each population) with an average sequencing depth of more than 45× for each population (mean coverage of 6.29 per individual). Among these populations from three different countries, we identified a large number of SNPs and indels as well as many unique population variants, which can be used as population‐specific molecular markers. Genomic comparisons among the three duck populations revealed many candidate genes as well as pathways and Gene Ontology categories that are putatively associated with meat yield in the British population, growth in the American population and brain development in all three populations. These findings will enable a better understanding of the artificial selection history of Pekin ducks and provide a valuable resource for future research on the breeding of this species. [ABSTRACT FROM AUTHOR]

Summary: The Chinese Meishan pig breed is well known for its high prolificacy. Moreover, this breed can be divided into three types based on their body size: big Meishan, middle Meishan (MMS) and small Meishan (SMS) pigs. Few studies have reported on the genetic signatures of Meishan pigs, particularly on a genome‐wide scale. Exploring for genetic signatures could be quite valuable for revealing the genetic architecture of phenotypic variation. Thus, we performed research in two parts based on the genome reducing and sequencing data of 143 Meishan pigs (74 MMS pigs, 69 SMS pigs). First, we detected the selection signatures among all Meishan pigs studied using the relative extended haplotype homozygosity test. Second, we detected the selection signatures between MMS and SMS pigs using the cross‐population extended haplotype homozygosity and FST methods. A total of 111 398 SNPs were identified from the sequenced genomes. In the population analysis, the most significant genes were associated with the mental development (RGMA), reproduction (HDAC4, FOXL2) and lipid metabolism (ACACB). From the cross‐population analysis, we detected genes related to body weight (SPDEF, PACSIN1) in both methods. We suggest that rs341373351, located within the PACSIN1 gene, might be the causal variant. This study may have achieved consistency between selection signatures and characteristics within and between Meishan pig populations. These findings can provide insight into investigating the molecular background of high prolificacy and body size in pig. [ABSTRACT FROM AUTHOR]

Summary: A large proportion of gilts and sows are culled from reproduction populations because of anestrus and pubertal reproductive failure. Selecting early onset of puberty gilts has a favorable effect on sows’ reproductivity. However, age at puberty is hard to be routinely measured in commercial herds. With molecular genetic predictors, identifying individuals that have a propensity for early onset of puberty can be simplified. We previously performed genome scanning and a genome‐wide association study for puberty in an F2 resource population using 183 microsatellites and 62 125 SNPs respectively. The detection power and resolution of identified quantitative trait loci were very low. Herein, we re‐sequenced 19 founders of the F2 resource population in high coverage, and whole genome sequences of F2 individuals were imputed to perform an association study for reproductive traits. A total of 2339 SNPs associated with pubertal reproductive failure were identified in the region of 30.94–40.74 Mb on SSC7, with the top one, positioned at 33.36 Mb, explaining 16% of the phenotypic variances. We improved the magnitude of the P‐value by 10E+5 to 10E+7 using the whole genome sequence rather than using low/middle density markers as in previous studies, and we narrowed down the QTL confidence interval to 5.25 Mb. Combining the annotation of gene function, RAB23 and BAK1 were perceived as the most compelling candidate genes. The identified loci may be useful in culling sows failing to show estrus by marker‐assisted selection to increase reproductive efficiency of swine herds. [ABSTRACT FROM AUTHOR]

In this study, we investigated the genetic variants, including SNPs and indels (short insertions or deletions, less than 50 bp in length), in the genomes and genetic structures of five pig populations (in the northern Taihu Lake region, Jiangsu Province) using the genotyping by genome reducing and sequencing ( GGRS) approach. A total of 581 million good reads with an average depth of 11× and an average coverage of 2.16% were used to call variants. In general, 202 106 SNPs and 34 415 indels were obtained, of which 2690 SNPs and 224 indels were capable of inducing protein-coding changes. The genes containing these variants were extracted for functional annotation. The results of gene enrichment analysis revealed that the SNPs under investigation may be associated with reproduction, disease resistance, meat quality and adipose tissue traits, whereas the indels were associated mainly with adipose tissue and disease. Analysis of the genetic structure showed that each population displayed comparable, large differentiations from the others, indicating their uniqueness. In conclusion, the results of our study provide the first genomic overview of the genetic variants and population structures of five Chinese indigenous pig populations. [ABSTRACT FROM AUTHOR]

The Chinese Taihu pig breeds are an invaluable component of the world's pig genetic resources, and they are the most prolific breeds of swine in the world. In this study, the genomes of 252 pigs of the six indigenous breeds in the Taihu Lake region were sequenced using the genotyping by genome reducing and sequencing approach. A total of 950 million good reads were obtained using an Illumina Hiseq2000 at an average depth of 13× (for SNP calling) and an average coverage of 2.3%. In total, 122 632 indels, 31 444 insertions, 44 056 deletions and 455 CNVs (copy number variants) were identified in the genomes of the pigs. Approximately 2.3% of these genetic markers were mapped to gene exon regions, and 25% were in QTL regions related to economically important traits. The KEGG pathway or GO enrichment analyses revealed that genetic variants assumed to be large-effect mutations were significantly overrepresented in 22 SNP, 56 indel, 26 insertion, 28 deletion and three CNV gene sets. A total of 343 breed-specific SNPs were also identified in the six Chinese indigenous pigs. The findings from this study can contribute to future investigations of the genetic diversity, population structure, positive selection signals and molecular evolutionary history of these pigs at the genome level and can serve as a valuable reference for improving the breeding and cultivation of these pigs. [ABSTRACT FROM AUTHOR]

Prevalence of swine respiratory disease causes poor growth performance in and serious economic losses to the swine industry. In this study, a categorical trait of enzootic pneumonia-like ( EPL) score representing the infection gradient of a respiratory disease, more likely enzootic pneumonia, was recorded in a herd of 332 Chinese Erhualian pigs. According to their EPL scores and the disease effect on weight gains, these pigs were grouped into controls ( EPL score ≤ 1) and cases ( EPL score > 1). The weight gain of the case group reduced significantly at days 180, 210, 240 and 300 as compared to the control group. The heritability of EPL score was estimated to be 0.24 based on the pedigree information using a linear mixed model. All 332 Erhualian pigs and their nine sire parents were genotyped with Illumina Porcine 60K SNP chips. Two genome-wide association studies were performed under a generalized linear mixed model and a case-control model respectively. In total, five loci surpassed the suggestive significance level ( P = 2.98 × 10−5) on chromosomes 2, 8, 12 and 14. CXCL6, CXCL8, KIT and CTBP2 were highlighted as candidate genes that might play important roles in determining resistance/susceptibility to swine EP-like respiratory disease. The findings advance understanding of the genetic basis of resistance/susceptibility to respiratory disease in pigs. [ABSTRACT FROM AUTHOR]

The Chinese indigenous pig breeds in the Taihu Lake region are the most prolific pig breeds in the world. In this study, we investigated the genetic diversity and population structure of six breeds, including Meishan, Erhualian, Mi, Fengjing, Shawutou and Jiaxing Black, in this region using whole-genome SNP data. A high SNP with proportions of polymorphic markers ranging from 0.925 to 0.995 was exhibited by the Chinese indigenous pigs in the Taihu Lake region. The allelic richness and expected heterozygosity also were calculated and indicated that the genetic diversity of the Meishan breed was the greatest, whereas that of the Fengjing breed was the lowest. The genetic differentiation, as indicated by the fixation index, exhibited an overall mean of 0.149. Both neighbor-joining tree and principal components analysis were able to distinguish the breeds from each other, but structure analysis indicated that the Mi and Erhualian breeds exhibited similar major signals of admixture. With this genome-wide comprehensive survey of the genetic diversity and population structure of the indigenous Chinese pigs in the Taihu Lake region, we confirmed the rationality of the current breed classification of the pigs in this region. [ABSTRACT FROM AUTHOR]

The number of vertebrae is associated with body size and meat production in pigs. To identify quantitative trait loci ( QTL) for the number of vertebrae, phenotypic values were measured in 1029 individuals from a White Duroc × Chinese Erhualian intercross F2 population. A whole genome scan was performed with 194 microsatellite markers in the F2 population. Four genome-wide significant QTL and eight chromosome-wide significant QTL for the number of vertebrae were identified on pig chromosomes ( SSC) 1, 2, 6, 7, 10 and 12. The most significant QTL was detected on SSC7 with a confidence interval of 1 c M, explaining 42.32% of the phenotypic variance in the thoracic vertebral number. The significant QTL on SSC1, 2 and 7 confirmed previous reports. A panel of 276 animals representing seven Western and Chinese breeds was genotyped with 34 microsatellite markers in the SSC7 QTL region. No obvious selective sweep effect was observed in the tested breeds, indicating that intensive selection for enlarged body size in Western commercial breeds did not wipe out the genetic variability in the QTL region. The Q alleles for increased vertebral number originated from both Chinese Erhualian and White Duroc founder animals. A haplotype block of approximately 900 kb was found to be shared by all Q-bearing chromosomes of F1 sires except for one distinct Q chromosome. The critical region harbours the newly reported VRTN gene associated with vertebral number. Further investigations are required to confirm whether VRTN or two other positional candidate genes, PROX2 and FOS, cause the QTL effect. [ABSTRACT FROM AUTHOR]

Growth and fatness are economically important traits in pigs. In this study, a genome scan was performed to detect quantitative trait loci (QTL) for 14 growth and fatness traits related to body weight, backfat thickness and fat weight in a large-scale White Duroc × Erhualian F2 intercross. A total of 76 genome-wide significant QTL were mapped to 16 chromosomes. The most significant QTL was found on pig chromosome (SSC) 7 for fatness with unexpectedly small confidence intervals of ∼2 cM, providing an excellent starting point to identify causal variants. Common QTL for both fatness and growth traits were found on SSC4, 5, 7 and 8, and shared QTL for fat deposition were detected on SSC1, 2 and X. Time-series analysis of QTL for body weight at six growth stages revealed the continuously significant effects of the QTL on SSC4 at the fattening period and the temporal-specific expression of the QTL on SSC7 at the foetus and fattening stages. For fatness traits, Chinese Erhualian alleles were associated with increased fat deposition except that at the major QTL on SSC7. For growth traits, most of White Duroc alleles enhanced growth rates except for those at three significant QTL on SSC6, 7 and 9. The results confirmed many previously reported QTL and also detected novel QTL, revealing the complexity of the genetic basis of growth and fatness in pigs. [ABSTRACT FROM AUTHOR]

To detect quantitative trait loci (QTL) for litter size related traits, the total number of born piglets (TNB), the number of born alive piglets (NBA), the number of stillborn piglets (NSB) and the number of mummies (NM) at the first parity were recorded in 299 F2 sows in a White Duroc × Chinese Erhualian intercross resource population. A whole genome scan was performed with 183 microsatellites distributed across 19 porcine chromosomes in the resource population, and the QTL analysis was performed with a least-squares method. A 5% genome-wide significant QTL was detected at 88 cM on pig chromosome (SSC) 15 for NBA, which also showed suggestive effect on TNB. In addition, four suggestive QTL were detected on SSC 6, 7, 8 and 15 for TNB, NBA or NSB. Two of the five QTL detected showed accordance with previous reports. No QTL was found for NM. [ABSTRACT FROM AUTHOR]

White blood cell count and platelets are implicated as risk factors for common complex diseases. Genetic factors substantially affect these traits in humans and mice. However, little is known about the genetic architecture of these traits in pigs. To identify quantitative trait loci (QTL) for leucocyte- and platelet-related traits in pigs, the total leucocyte number and differential leucocyte counts including the fraction of basophils, eosinophils, lymphocytes, monocytes, neutrophils, and a series of platelet parameters including platelet count, mean platelet volume, platelet distribution width and plateletcrit were measured in 1033 F2 animals on 240 days from a White Duroc × Erhualian intercross resource population. A total of 183 informative microsatellites distributed across 19 pig chromosomes (SSC) were genotyped across the entire resource population. Thirty-three QTL were identified for the examined traits, including eight genome-wide significant QTL for white blood cells and differential leucocyte counts on SSC2, 7, 8, 12 and 15 and six significant QTL for platelet-related traits on SSC2, 8, 13 and X. Erhualian or White Duroc alleles were not systematically associated with increased phenotypic values. These results not only confirmed many QTL identified previously in the mouse and swine, but also revealed a number of novel QTL for the traits recorded. Moreover, it is the first time that QTL for platelet-related traits in pigs have been reported. [ABSTRACT FROM AUTHOR]

A whole-genome scan was performed on 660 F2 animals including 250 barrows and 410 gilts in a White Duroc × Erhualian intercross population to detect quantitative trait loci (QTL) for fatty acid composition in the longissimus dorsi muscle and abdominal fat. A total of 153 QTL including 63 genome-wide significant QTL and 90 suggestive effects were identified for the traits measured. Significant effects were mainly evident on pig chromosomes (SSC) 4, 7, 8 and X. No association was detected on SSC3 and 11. In general, the QTL detected in this study showed distinct effects on fatty acid composition in the longissimus muscle and abdominal fat. The QTL for fatty acid composition in abdominal fat did not correspond to those identified previously in backfat and the majority of QTL for the muscle fatty acid composition were mapped to chromosomal regions different from previous studies. Two regions on SSC4 and SSC7 showed significant pleiotropic effects on monounsaturated (MUFA) and polyunsaturated fatty acid (PUFA) in both longissimus muscle and abdominal fat. Another two QTL with significant multi-faceted effects on MUFA and PUFA in the longissimus muscle were found each on SSC8 and SSCX. Chinese Erhualian alleles were associated with increased ratios of MUFA to saturated fatty acid at most of the QTL detected, showing beneficial effect in terms of human health. [ABSTRACT FROM AUTHOR]

There is evidence that NR6A1 is a strong candidate for being a causal gene underlying vertebral number in pigs. The Licha Black is one of the leanest Chinese indigenous pig breeds, having an average vertebral number of 21.5. The introgression of Western germplasm into Licha Black, resulting in increased vertebral number, has been assumed but is not confirmed. This study detected allele frequencies of the NR6A1 causative mutation (c.575T>C) in 519 pigs from three Western and seven Chinese breeds including Licha Black, and evaluated the genetic variation in a 650-kb region containing NR6A1 in the 10 breeds. Allele T for increased vertebral number was fixed in Western breeds. In contrast, this allele was very rare in most of the Chinese native breeds. Notably, the T allele was present in the Licha Black at a rather higher frequency (0.585) and in the Laiwu at lower frequency (0.250). As expected, selection pressure has wiped out the genetic variability in the 650 kb region in Western breeds. Conversely, Chinese indigenous breeds showed a high degree of genetic variability in this region. However, the Licha Black displayed dramatically reduced heterozygosity at the loci proximal to the causative mutation. Moreover, a high proportion (45.9%) of Licha Black pigs and a small number (21%) of Laiwu pigs had the Western NR6A1 haplotype, and the two breeds showed closer relationships with Western commercial breeds than other Chinese breeds in the phylogenic tree. When the results are taken together, this study supports the assumption that the Western NR6A1 haplotypes were introduced into Licha Black and possibly Laiwu and are associated with increased vertebral number. [ABSTRACT FROM AUTHOR]

A porcine genome linkage map composed of 194 microsatellite markers was constructed with a large-scale White Duroc × Erhualian resource population. The marker order on this linkage map was consistent with the USDA-MARC reference map except for two markers on SSC3, two markers on SSC13 and two markers on SSCX. The length of the sex-averaged map (2344.9 cM) was nearly the same as that of the USDA-MARC and NIAI map. Highly significant heterogeneity in recombination rates between sexes was observed. Except for SSC1 and SSC13, the female autosomes had higher average recombination rates than the male autosomes. Moreover, recombination rates in the pseudoautosomal region were greater in males than in females. These observations are consistent with those of previous reports. The recombination rates on each paternal and maternal chromosome of F2 animals were calculated. Recombination rates were not significantly affected by the age (in days) or parity of the F1 animals. However, recombination rates on paternal chromosomes were affected by the mating season of the F1 animals. This could represent an effect of environmental temperature on spermatogenesis. [ABSTRACT FROM AUTHOR]

Enterotoxigenic Escherichia coli (ETEC) F4ab and F4ac are major determinants of piglet diarrhoea. The locus for the ETEC F4ab/ac receptor has been mapped to SSC13q41. MUC13 is a transmembrane mucin expressed predominantly in the epithelial surface of the gastrointestinal tract and the MUC13 gene was assigned to SSC13q41, supporting it as a positional candidate gene for the ETEC F4ab/ac receptor. We herein determined the complete 2679-bp cDNA of pig MUC13, and proved that it was most highly expressed in the jejunum and moderately expressed in the trachea, stomach and liver. Furthermore, 13 MUC13 polymorphisms were identified in 19 founder animals of a White Duroc × Erhualian resource population, and a total of 727 F2 animals with in vitro ETEC F4ab/ac adhesion phenotypes in this population were genotyped for three identified MUC13 polymorphisms including c.576C>T, c.908A>G and c.935A>C. The transmission disequilibrium test showed that the MUC13 alleles and haplotypes were significantly associated with susceptibility/resistance to ETEC F4ab/ac, especially between haplotype [C;G;A] and susceptibility to ETEC F4ac ( P = 8.0e-18). Animals inheriting this haplotype were predominantly susceptible to ETEC F4ac ( n = 291/303). Moreover, nearly all animals homozygous for haplotype [T;G;C] ( n = 39/41) and a majority of those with the [C;A;A]/[T;G;C] haplotype pair ( n = 79/88) were resistant to ETEC F4ab. Our results indicated that MUC13 is in strong linkage disequilibrium with the ETEC F4ab/ac receptor locus and provided potential markers for selection of ETEC F4ab/ac-resistant animals in the pig breeding scheme. [ABSTRACT FROM AUTHOR]

Hip laxity is one characteristic of canine hip dysplasia (CHD), an inheritable disease that leads to hip osteoarthritis. Using a genome-wide screen with 250 microsatellites in a crossbreed pedigree of 159 dysplastic Labrador retrievers and unaffected greyhounds, we previously identified putative ( P < 0.01) QTL on canine chromosomes 11 and 29 (CFA11 and CFA29). To refine these QTL locations, we have genotyped 257 dogs including 105 Labrador retrievers, seven greyhounds, four generations of their crossbreed offspring and three German shepherds for 111 and 171 SNPs on CFA11 and CFA29 respectively. The distraction index (DI, a measure of maximum hip laxity) was used as an intermediate phenotype that predicts whether a hip joint will or will not develop osteoarthritis. Using a multipoint linkage analysis, significant evidence (95% posterior probability) was found for QTL contributing to hip laxity in the 16.2–21 cM region on CFA11 that explained 15–18% of the total variance in DI. Evidence for an independent QTL on CFA29 was weaker than that on CFA11. Identification of the causative mutation(s) will lead to better understanding of biochemical pathways in both dogs and humans with hip laxity and dysplasia. [ABSTRACT FROM AUTHOR]

Fatty acid binding protein 4 (FABP4), which is expressed in adipose tissue, interacts with peroxisome proliferator-activated receptors and binds to hormone-sensitive lipase and therefore, plays an important role in lipid metabolism and homeostasis in adipocytes. The objective of this study was to investigate associations of the bovine FABP4 gene with fat deposition. Both cDNA and genomic DNA sequences of the bovine gene were retrieved from the public databases and aligned to determine its genomic organization. Primers targeting two regions of the FABP4 gene were designed: from nucleotides 5433–6106 and from nucleotides 7417–7868 ( ). Direct sequencing of polymerase chain reaction (PCR) products on two DNA pools from high- and low-marbling animals revealed two single nucleotide polymorphisms (SNPs): .1:g.7516G>C and g.7713G>C. The former SNP, detected by PCR-restriction fragment length polymorphism using restriction enzyme MspA1I, was genotyped on 246 F2 animals in a Waygu × Limousin F2 reference population. Statistical analysis showed that the FABP4 genotype significantly affected marbling score ( P = 0.0398) and subcutaneous fat depth ( P = 0.0246). The FABP4 gene falls into a suggestive/significant quantitative trait loci interval for beef marbling that was previously reported on bovine chromosome 14 in three other populations. [ABSTRACT FROM AUTHOR]

The article focuses on the genome-wide association studies (GWAS) which revealed the association of loci with economic important traits in pigs. Topics discussed include the use of RegionPlot databases, single nucleotide polymorphism (SNP) information from Porcine SNP60 Beadchips, and graph for profile visualization. Also mentioned are Sutai breed, gene annotation, and identification of casual mutations.

We used the data from a recently performed genome-wide association study using the Illumina Equine SNP50 beadchip for the detection of copy number variants ( CNVs) and examined their association with recurrent laryngeal neuropathy ( RLN), an important equine upper airway disease compromising performance. A total of 2797 CNVs were detected for 477 horses, covering 229 kb and seven SNPs on average. Overlapping CNVs were merged to define 478 CNV regions ( CNVRs). CNVRs, particularly deletions, were shown to be significantly depleted in genes. Fifty-two of the 67 common CNVRs (frequency ≥ 1%) were validated by association mapping, Mendelian inheritance, and/or Mendelian inconsistencies. None of the 67 common CNVRs were significantly associated with RLN when accounting for multiple testing. However, a duplication on chromosome 10 was detected in 10 cases (representing three breeds) and two unphenotyped parents but in none of the controls. The duplication was embedded in an 8-Mb haplotype shared across breeds. [ABSTRACT FROM AUTHOR]

The low heritability of reproduction traits such as total number born (TNB), number born alive (NBA) and adjusted litter weight until 21 days at weaning (ALW) poses a challenge for genetic improvement. In this study, we aimed to identify genetic variants that influence these traits and evaluate the accuracy of genomic selection (GS) using these variants as genomic features. We performed single-step genome-wide association studies (ssGWAS) on 17 823 Large White (LW) pigs, of which 2770 were genotyped by 50K single nucleotide polymorphism (SNP) chips. Additionally, we analyzed runs of homozygosity (ROH) in the population and tested their effects on the traits. The genomic feature best linear unbiased prediction (GFBLUP) was then carried out in an independent population of 350 LW pigs using identified trait-related SNP subsets as genomic features. As a result, our findings identified five, one and four SNP windows that explaining more than 1% of genetic variance for ALW, TNB, and NBA, respectively and discovered 358 hotspots and nine ROH islands. The ROH SSC1:21814570-27186456 and SSC11:7220366-14276394 were found to be significantly associated with ALW and NBA, respectively. We assessed the genomic estimated breeding value accuracy through 20 replicates of five-fold cross-validation. Our findings demonstrate that GFBLUP, incorporating SNPs located in effective ROH (p-value < 0.05) as genomic features, might enhance GS accuracy for ALW compared with GBLUP. Additionally, using SNPs explaining more than 0.1% of the genetic variance in ssGWAS for NBA as genomic features might improve the GS accuracy, too. However, it is important to note that the incorporation of inappropriate genomic features can significantly reduce GS accuracy. In conclusion, our findings provide valuable insights into the genetic mechanisms of reproductive traits in pigs and suggest that the ssGWAS and ROH have the potential to enhance the accuracy of GS for reproductive traits in LW pigs., (© 2024 Stichting International Foundation for Animal Genetics.)

Qingyuan partridge chicken is a renowned indigenous yellow broiler breed in China. Egg production traits are important economic traits for chickens. With the decreasing cost of whole genome resequencing, identifying candidate genes with more precision has become possible. In order to identify molecular markers and candidate genes associated with egg production traits, we conducted genome-wide association studies based on the resequencing data of 287 female Qingyuan partridge chickens. For each hen, age at first egg and egg laying rate were recorded and calculated, respectively. With a univariate linear mixed model, we detected one genome-wide significant single nucleotide polymorphism (SNP) and three chromosome-wide significant SNPs associated with egg laying rate. MTA2 is highly likely to be a functional gene for egg laying rate. Our study identifies MTA2 as the first time to be associated with egg laying rate. Findings in our study will advance our understanding of the genetic basis of egg production and have the potential to improve the efficiency of genomic selection in chickens., (© 2024 Stichting International Foundation for Animal Genetics.)

In livestock, genome-wide association studies (GWAS) are usually conducted in a single population (single-GWAS) with limited sample size and detection power. To enhance the detection power of GWAS, meta-analysis of GWAS (meta-GWAS) and mega-analysis of GWAS (mega-GWAS) have been proposed to integrate data from multiple populations at the level of summary statistics or individual data, respectively. However, there is a lack of comparison for these different strategies, which makes it difficult to guide the best practice of GWAS integrating data from multiple study populations. To maximize the comparison of different association analysis strategies across multiple populations, we conducted single-GWAS, meta-GWAS, and mega-GWAS for the backfat thickness of 100 kg (BFT&#95;100) and days to 100 kg (DAYS&#95;100) within each of the three commercial pig breeds (Duroc, Yorkshire, and Landrace). Based on controlling the genome inflation factor to one, we calculated corrected p-values (p C ). In Yorkshire, with the largest sample size, mega-GWAS, meta-GWAS and single-GWAS detected 149, 38 and 20 significant SNPs (p C  < 1E-5) associated with BFT&#95;100, as well as 26, four, and one QTL, respectively. Among them, p C of SNPs from mega-GWAS was the lowest, followed by meta-GWAS and single-GWAS. The correlation of p C among the three GWAS strategies ranged from 0.60 to 0.75 and the correlation of SNP effect values between meta-GWAS and mega-GWAS was 0.74, all showing good agreement. Collectively, even though there are differences in the integration of individual data or summary statistics, integrating data from multiple populations is an effective means of genetic argument for complex traits, especially mega-GWAS versus single-GWAS., (© 2024 Stichting International Foundation for Animal Genetics.)

The establishment of high-quality pork breeds for improving meat quality in the pig industry is needed. The Chuxiang Black (CX) pig is a new breed developed from Chinese local pigs and Western lean pigs that has a high proportion of lean meat and excellent meat quality. However, the characteristics of cis-regulatory elements in CX pigs are still unknown. In this study, cis-regulatory elements of muscle and adipose tissues in CX pigs were investigated using ChIP-seq and RNA sequencing. Compared with the reported cis-regulatory elements of muscle and adipose tissues, 1768 and 1012 highly activated enhancers and 433 and 275 highly activated promoters in CX muscle and adipose tissues were identified, respectively. Motif analysis showed that transcription factors, such as MEF2A and MEF2C, were core regulators of highly activated enhancers and promoters in muscle. Similarly, the transcription factors JUNB and CUX1 were identified as essential for highly activated enhancers and promoters in CX adipose tissue. These results enrich the resources for the analysis of cis-regulatory elements in the pig genome and provide new basic data for further meat quality improvement through breeding in pigs., (© 2024 Stichting International Foundation for Animal Genetics.)

Zi goose is a famous indigenous breed originating from northeast China with high annual egg production. Xianghai flying goose is a composite breed and is bred by crosses of the wild swan goose and the Zi goose. Our previous study revealed significant differences in muscle fiber characteristics between the two populations. Here, we aimed to reveal the underlying genetic basis of the above phenotype differences through whole-genome and transcriptome analysis. A total of 20 blood samples (10 Zi geese and 10 Xianghai flying geese) were used for whole genome sequencing, and eight breast muscle tissue samples (four Zi geese and four Xianghai flying geese) were used for RNA sequencing. Using the F ST and XP-EHH analysis, some highly differentiated genome regions annotated with egg production (RORB, WNT4, BMPR1B) and breast muscle development (WNT7B) between the two populations were detected. RNA-sequencing analysis revealed differentially expressed genes related to muscle development (IGF1, PAX7). Moreover, several genes were detected by both genome and transcriptome analysis, and some of them were reported to be associated with muscle growth (SLIT2, PREX1) and intramuscular fat (COL6A1). These findings will help researchers better understand the genetic basis related to egg production and muscle development in geese., (© 2023 Stichting International Foundation for Animal Genetics.)

Breed identification utilizing multiple information sources and methods is widely applicated in the field of animal genetics and breeding. Simultaneously, with the development of artificial intelligence, the integration of high-throughput genomic data and machine learning techniques is increasingly used for breed identification. In this context, we used 654 individuals from 15 pig breeds, evaluating the performance of machine learning and stacking ensemble learning classifiers, as well as the function of feature selection and anomaly detection in different scenarios. Our results showed that, when using a training set of 16 individuals per breed and 32 features (SNPs), the accuracy of breed identification with feature selection (eXtreme Gradient Boosting, XGBoost) could exceed 95.00% (nine breeds), and was improved by 7.04% over the results with random selection. For stacking ensemble learning, feature selection methods (including random selection method) were used before different base learners. When these base learners' training set had 16 individuals per breed and 32 features, the accuracy of stacking ensemble learning improved by 9.24% over the best base learner (nine breeds), but did not significantly increase the advantage over the models with XGBoost feature selection. When using a training set of 16 individuals and 512 features per breed, breed identification with anomaly detection (local outlier factor, LOF) and random selection could achieve an accuracy of 89.06% (15 breeds). These results show that machine learning could be an effective tool for breed identification and this study will also provide useful information for the application of machine learning in animal genetics and breeding., (© 2022 Stichting International Foundation for Animal Genetics.)

Joint genomic prediction (GP) is an attractive method to improve the accuracy of GP by combining information from multiple populations. However, many factors can negatively influence the accuracy of joint GP, such as differences in linkage disequilibrium phasing between single nucleotide polymorphisms (SNPs) and causal variants, minor allele frequencies and causal variants' effect sizes across different populations. The objective of this study was to investigate whether the imputed high-density genotype data can improve the accuracy of joint GP using genomic best linear unbiased prediction (GBLUP), single-step GBLUP (ssGBLUP), multi-trait GBLUP (MT-GBLUP) and GBLUP based on genomic relationship matrix considering heterogenous minor allele frequencies across different populations (wGBLUP). Three traits, including days taken to reach slaughter weight, backfat thickness and loin muscle area, were measured on 67 276 Large White pigs from two different populations, for which 3334 were genotyped by SNP array. The results showed that a combined population could substantially improve the accuracy of GP compared with a single-population GP, especially for the population with a smaller size. The imputed SNP data had no effect for single population GP but helped to yield higher accuracy than the medium-density array data for joint GP. Of the four methods, ssGLBUP performed the best, but the advantage of ssGBLUP decreased as more individuals were genotyped. In some cases, MT-GBLUP and wGBLUP performed better than GBLUP. In conclusion, our results confirmed that joint GP could be beneficial from imputed high-density genotype data, and the wGBLUP and MT-GBLUP methods are promising for joint GP in pig breeding., (© 2022 Stichting International Foundation for Animal Genetics.)

The FGF5 gene has been associated with the regulation of fibre length in mammals, including cashmere goats. A deletion variant at ~14 kb downstream of the FGF5 gene showed significant divergence between cashmere and non-cashmere goats in previous studies. In this study, we designed specific primers to genotype the deletion variant. The results of gel electrophoresis and Sanger sequencing revealed that a 507-bp deletion mutation is located at 95 454 685-95 455 191 of chromosome 6 in goats. Genotyping data from a large panel of 288 goats showed that the deletion at the FGF5 gene locus appeared to be associated with cashmere length. The deletion variant was close to fixation (frequency 0.97) in cashmere goats. Furthermore, electrophoretic mobility shift assays for evaluating DNA-protein interaction and mRNA expression levels of FGF5 suggested that the deletion variant may serve as a cis-acting element by specifically binding transcription factors to mediate quantitative changes in FGF5 mRNA expression. Our study illustrates how a structural mutation of the FGF5 gene has contributed to the cashmere growth phenotype in domestic goats. The deletion mutation within the FGF5 gene could potentially serve as a molecular marker of cashmere growth in cashmere goat breeding., (© 2022 Stichting International Foundation for Animal Genetics.)

Chinese indigenous pig breeds have been undergoing selection for thousands of years, and have become invaluable genetic sources over the world. To investigate the population structure and genetic diversity of Jinhua (JH), Longyou Black (LYW), Shengxian Spotted (SXH), and Lanxi Spotted (LXH) breeds, a total of 200 pigs belonging to 10 diverse population were genotyped using SNP chips. The results showed that LYW pigs exhibited higher level of heterozygosity than the other indigenous pigs. In addition, gene introgression from intensively reared commercial pig breeds to LYW pigs was detected. Moreover, selection signature analysis revealed the possibility of differences between Chinese indigenous and intensively reared commercial pig breeds were mainly present for meat and carcass traits. Furthermore, we found that ANXA13, DISP1, and SRSF6 were the nearest genes located around the common selection signatures detected between each indigenous pig breed and Chinese wild boars. Our findings provide new insights into the selection signatures of Chinese indigenous pigs, and may contribute to future pig breeding., (© 2022 Stichting International Foundation for Animal Genetics.)

Inbreeding, which has several causes including genetic drift, population bottlenecks, mating of close relatives and selection, can leave tracts of runs of homozygosity (ROH) along genomes. Recently, decreasing performance on reproductive traits, which might have resulted from inbreeding, has been observed in Chinese pigs. In this study, 830 individuals from Western and Chinese pig breeds were genotyped using the reduced-representation sequencing method. After imputation and quality control, 60 850 high-confidence SNPs were retained for ROH detection. A simulation was performed to explore the reliability of ROH detection with imputed data. Different ROH-related variables were compared between imputed and non-missing genotypes used in ROH detection. Furthermore, ROH islands were evaluated and annotated to find genes influenced by inbreeding in these pigs. The simulation results showed that imputed data with 0.7 as the average missing genotype rate and three heterozygotes allowed in a sliding window have comparable ROH detected compared with data with no missing genotypes. Compared with Western pig breeds, Chinese pigs had more autosomes covered by ROH longer than 5 Mb, indicating higher inbreeding in Chinese pigs in recent times. Genes related to reproduction, immunity, meat quality and adaptability in Chinese pigs and several genes related to growth speed and immunity in Western pigs were observed in short ROH islands. The reproduction-related gene PRM1 was found to be located in the most frequent long ROH island in Chinese pigs, which might explain the decreasing fertility in Chinese pig breeds., (© 2018 Stichting International Foundation for Animal Genetics.)

Umbilical hernia (UH) is one of the most common congenital defects in pigs, leading to considerable economic loss and serious animal welfare problems. To test whether copy number variations (CNVs) contribute to pig UH, we performed a case-control genome-wide CNV association study on 905 pigs from the Duroc, Landrace and Yorkshire breeds using the Porcine SNP60 BeadChip and penncnv algorithm. We first constructed a genomic map comprising 6193 CNVs that pertain to 737 CNV regions. Then, we identified eight CNVs significantly associated with the risk for UH in the three pig breeds. Six of seven significantly associated CNVs were validated using quantitative real-time PCR. Notably, a rare CNV (CNV14:13030843-13059455) encompassing the NUGGC gene was strongly associated with UH (permutation-corrected P = 0.0015) in Duroc pigs. This CNV occurred exclusively in seven Duroc UH-affected individuals. SNPs surrounding the CNV did not show association signals, indicating that rare CNVs may play an important role in complex pig diseases such as UH. The NUGGC gene has been implicated in human omphalocele and inguinal hernia. Our finding supports that CNVs, including the NUGGC CNV, contribute to the pathogenesis of pig UH., (© 2016 Stichting International Foundation for Animal Genetics.)

Pigs have experienced dramatic selection due to domestication, which has led to many different phenotypes when compared to their wild counterparts, especially in the last several decades. Currently, genome-wide scans in both cattle and humans showing positive selection footprints have been investigated. However, few studies have focused on porcine selection footprints, particularly on a genome-wide scale. Surveying for selection footprints across porcine genomes can be quite valuable for revealing the genetic mechanisms of phenotypic diversity. Here, we employed a medium sequencing depth (5-20x/site per individual, on average) approach called genotyping by genome reducing and sequencing (GGRS) to detect genome-wide selection signatures of two domestic pig breeds (Yorkshire and Landrace) that have been under intensive selection for traits of muscle development, growth and behavior. The relative extended haplotype homozygosity test, which identifies selection signatures by measuring the characteristics of haplotypes' frequency distribution within a single population, was also applied to identify potential positively selected regions. As a result, signatures of positive selection were found in each breed. However, most selection signatures were population specific and related to genomic regions containing genes for biological categories including brain development, metabolism, growth and olfaction. Furthermore, the result of the gene set enrichment analysis indicated that selected regions of the two breeds presented a different over-representation of genes in the Gene Ontology annotations and Kyoto Encyclopedia of Genes and Genomes pathways. Our results revealed a genome-wide map of selection footprints in pigs and may help us better understand the mechanisms of selection in pig breeding., (© 2014 The Authors. Animal Genetics published by John Wiley & Sons Ltd on behalf of Stichting International Foundation for Animal Genetics.)

Skin is the largest organ in the pig body and plays a key role in protecting the body against pathogens and excessive water loss. Deciphering the genetic basis of swine skin thickness would enrich our knowledge about the skin. To identify the loci for porcine skin thickness, we first performed a genome scan with 194 microsatellite markers in a White Duroc × Erhualian F2 intercross. We identified three genome-wide significant QTL on pig chromosomes (SSC) 4, 7 and 15 using linkage analysis. The most significant QTL was found on SSC7 with a small confidence interval of ~5 cM, explaining 23.9 percent of phenotypic variance. Further, we conducted a genome-wide association study (GWAS) using Illumina PorcineSNP60 Beadchips for the F2 pedigree and a population of Chinese Sutai pigs. We confirmed significant QTL in the F2 pedigree and replicated QTL on SSC15 in Chinese Sutai pigs. A meta-analysis of GWASs on both populations detected a genomic region associated with skin thickness on SSC4. GWAS results were generally consistent with QTL mapping. Identical-by-descent analysis defined QTL on SSC7 in a 683-kb region harboring an interesting candidate gene: HMGA1. On SSC15, the linkage disequilibrium analysis showed a haplotype block of 2.20 Mb that likely harbors the gene responsible for skin thickness. Our findings provide novel insights into the genetic basis of swine skin thickness, which would benefit further understanding of porcine skin function., (© 2014 Stichting International Foundation for Animal Genetics.)

To detect quantitative trait loci (QTL) for litter size related traits, the total number of born piglets (TNB), the number of born alive piglets (NBA), the number of stillborn piglets (NSB) and the number of mummies (NM) at the first parity were recorded in 299 F(2) sows in a White Duroc x Chinese Erhualian intercross resource population. A whole genome scan was performed with 183 microsatellites distributed across 19 porcine chromosomes in the resource population, and the QTL analysis was performed with a least-squares method. A 5% genome-wide significant QTL was detected at 88 cM on pig chromosome (SSC) 15 for NBA, which also showed suggestive effect on TNB. In addition, four suggestive QTL were detected on SSC 6, 7, 8 and 15 for TNB, NBA or NSB. Two of the five QTL detected showed accordance with previous reports. No QTL was found for NM.

White blood cell count and platelets are implicated as risk factors for common complex diseases. Genetic factors substantially affect these traits in humans and mice. However, little is known about the genetic architecture of these traits in pigs. To identify quantitative trait loci (QTL) for leucocyte- and platelet-related traits in pigs, the total leucocyte number and differential leucocyte counts including the fraction of basophils, eosinophils, lymphocytes, monocytes, neutrophils, and a series of platelet parameters including platelet count, mean platelet volume, platelet distribution width and plateletcrit were measured in 1033 F(2) animals on 240 days from a White Duroc x Erhualian intercross resource population. A total of 183 informative microsatellites distributed across 19 pig chromosomes (SSC) were genotyped across the entire resource population. Thirty-three QTL were identified for the examined traits, including eight genome-wide significant QTL for white blood cells and differential leucocyte counts on SSC2, 7, 8, 12 and 15 and six significant QTL for platelet-related traits on SSC2, 8, 13 and X. Erhualian or White Duroc alleles were not systematically associated with increased phenotypic values. These results not only confirmed many QTL identified previously in the mouse and swine, but also revealed a number of novel QTL for the traits recorded. Moreover, it is the first time that QTL for platelet-related traits in pigs have been reported.

A whole-genome scan was performed on 660 F(2) animals including 250 barrows and 410 gilts in a White Duroc x Erhualian intercross population to detect quantitative trait loci (QTL) for fatty acid composition in the longissimus dorsi muscle and abdominal fat. A total of 153 QTL including 63 genome-wide significant QTL and 90 suggestive effects were identified for the traits measured. Significant effects were mainly evident on pig chromosomes (SSC) 4, 7, 8 and X. No association was detected on SSC3 and 11. In general, the QTL detected in this study showed distinct effects on fatty acid composition in the longissimus muscle and abdominal fat. The QTL for fatty acid composition in abdominal fat did not correspond to those identified previously in backfat and the majority of QTL for the muscle fatty acid composition were mapped to chromosomal regions different from previous studies. Two regions on SSC4 and SSC7 showed significant pleiotropic effects on monounsaturated (MUFA) and polyunsaturated fatty acid (PUFA) in both longissimus muscle and abdominal fat. Another two QTL with significant multi-faceted effects on MUFA and PUFA in the longissimus muscle were found each on SSC8 and SSCX. Chinese Erhualian alleles were associated with increased ratios of MUFA to saturated fatty acid at most of the QTL detected, showing beneficial effect in terms of human health.

A porcine genome linkage map composed of 194 microsatellite markers was constructed with a large-scale White Duroc x Erhualian resource population. The marker order on this linkage map was consistent with the USDA-MARC reference map except for two markers on SSC3, two markers on SSC13 and two markers on SSCX. The length of the sex-averaged map (2344.9 cM) was nearly the same as that of the USDA-MARC and NIAI map. Highly significant heterogeneity in recombination rates between sexes was observed. Except for SSC1 and SSC13, the female autosomes had higher average recombination rates than the male autosomes. Moreover, recombination rates in the pseudoautosomal region were greater in males than in females. These observations are consistent with those of previous reports. The recombination rates on each paternal and maternal chromosome of F(2) animals were calculated. Recombination rates were not significantly affected by the age (in days) or parity of the F(1) animals. However, recombination rates on paternal chromosomes were affected by the mating season of the F(1) animals. This could represent an effect of environmental temperature on spermatogenesis.

Fatty acid binding protein 4 (FABP4), which is expressed in adipose tissue, interacts with peroxisome proliferator-activated receptors and binds to hormone-sensitive lipase and therefore, plays an important role in lipid metabolism and homeostasis in adipocytes. The objective of this study was to investigate associations of the bovine FABP4 gene with fat deposition. Both cDNA and genomic DNA sequences of the bovine gene were retrieved from the public databases and aligned to determine its genomic organization. Primers targeting two regions of the FABP4 gene were designed: from nucleotides 5433-6106 and from nucleotides 7417-7868 (AAFC01136716). Direct sequencing of polymerase chain reaction (PCR) products on two DNA pools from high- and low-marbling animals revealed two single nucleotide polymorphisms (SNPs): AAFC01136716.1:g.7516G>C and g.7713G>C. The former SNP, detected by PCR-restriction fragment length polymorphism using restriction enzyme MspA1I, was genotyped on 246 F2 animals in a Waygu x Limousin F2 reference population. Statistical analysis showed that the FABP4 genotype significantly affected marbling score (P = 0.0398) and subcutaneous fat depth (P = 0.0246). The FABP4 gene falls into a suggestive/significant quantitative trait loci interval for beef marbling that was previously reported on bovine chromosome 14 in three other populations.