Genome-wide QTL mapping for three traits related to teat number in a White Duroc × Erhualian pig resource population

Ding, Nengshui; Guo, Yuanmei; Knorr, C.; Ma, Junwu; Mao, Huirong; Lan, L; Xiao, Shijun; Ai, Huashui; Haley, Chris; Brenig, Bertram; Huang, Lusheng

doi:10.1186/1471-2156-10-6

Cited by 40 publications

(39 citation statements)

References 28 publications

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“…Many QTL influencing sow reproductive traits were identified on SSC8 in the White Duroc 3 Erhualian resource population, such as at 80 cM for teat number (Ding et al, 2009), at 77 cM for age at puberty , at 84 cM for NSB (Li et al, 2009), at 86 cM for survival rate of piglets at weaning and at 49 cM for gestation length detected in this study. According to the porcine QTL database (Hu et al, 2005), QTL influencing ovulation rate (Rathje et al, 1997), TNB and NBA (King et al, 2003) have also been mapped to this chromosome.…”

Section: Discussionmentioning

confidence: 56%

A whole genome scan to detect quantitative trait loci for gestation length and sow maternal ability related traits in a White Duroc × Erhualian F2 resource population

Chen

Guo

Zhang

et al. 2010

Animal

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Gestation length and maternal ability are important to improve the sow reproduction efficiency and their offspring survival. To map quantitative trait loci (QTL) for gestation length and maternal ability related traits including piglet survival rate and average body weight of piglets at weaning, more than 200 F 2 sows from a White Duroc 3 Erhualian resource population were phenotyped. A genome-wide scan was performed with 194 microsatellite markers covering the whole pig genome. QTL analysis was carried out using a composite regression interval mapping method via QTL express. The results showed that total number of born piglets was significantly correlated with gestation length (r 5 20.13, P , 0.05). Three QTL were detected on pig chromosome (SSC)2, 8 and 12 for gestation length. The QTL on SSC2 achieved the 5% genome-wide significant level and the QTL on SSC8 was consistent with previous reports. Four suggestive QTL were identified for maternal ability related traits including 1 QTL for survival rate of piglets at weaning on SSC8, 3 QTL for average body weight of piglet at weaning on SSC3, 11 and 13.

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Section: Discussionmentioning

confidence: 56%

A whole genome scan to detect quantitative trait loci for gestation length and sow maternal ability related traits in a White Duroc × Erhualian F2 resource population

Chen

Guo

Zhang

et al. 2010

Animal

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“…In mammals in particular, imprinted genes have an important effect in the regulation of fetal growth, development, function of the placenta, and postnatal behavior (Isles and Holland, 2005). In pigs, many imprinted quantitative trait locus (QTL) significantly affect growth, backfat thickness, carcass composition and reproduction (de Koning et al, 2000;Sato et al, 2006;Ding et al, 2009;Uemoto et al, 2009;Ruckert and Bennewitz, 2010). The IGF2 gene, which was identified as the first imprinted gene in pigs, has important effects on porcine growth, meat quality and carcass composition, especially on fat deposition (Estellé et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

Molecular cloning, mRNA expression and imprinting status of PEG3, NAP1L5 and PPP1R9A genes in pig

Zhang

Deng

et al. 2011

Genes Genet. Syst.

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Imprinted genes are expressed monoallelically depending on their parental origin, and play important roles in the regulation of fetal growth, development, and postnatal behavior. Most genes known to be imprinted have been identified and studied in the human and the mouse. However, there are only a small number of reported imprinted genes in pigs. Therefore, identification and characterization of more imprinted genes in pigs is useful for comparative analysis of genomic imprinting across species. In this study, we cloned the porcine PEG3, NAP1L5 and PPP1R9A genes. The imprinting status of these genes was determined using sequencing directly and single nucleotide polymorphisms (SNPs) identified in individuals from reciprocal cross of Meishan and Large White pigs. Imprinting analysis was carried out in 13 different tissues (skeletal muscle, fat, pituitary gland, heart, lung, liver, kidney, spleen, stomach, small intestine, uterus, ovary and testis) from twelve 2-month-old piglets. Imprinting analysis showed that PEG3 and NAP1L5 were exclusively expressed from the paternal allele whereas PPP1R9A was biallelically expressed in all tissues tested where the genes were expressed. The study is of interest to understand the conservation of genomic imprinting among mammals at the 3 loci.

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“…The percentage of phenotypic variance was calculated as 100 Â MS R À MS F =MS R ½ , where MS R and MS F are mean square of reduced and mean square of the full model, respectively. The reduced model includes all the QTL effects for a given trait except for the QTL being tested while the full model includes all QTL effects (Ding et al 2009;Haley et al 1994). The effect of marker genotypes on trait phenotypes was determined by single-factor ANOVA.…”

Section: Qtl Analysesmentioning

confidence: 99%

Quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens

Thumma

Southerton

Bell

et al. 2009

Tree Genetics & Genomes

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To identify the chromosomal regions affecting wood quality traits, we conducted a genome-wide quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens. This information is important to exploit the full potential of the impending Eucalyptus genome sequence. A three generational mapping population consisting of 296 progeny trees was used to identify QTL associated with several wood quality traits in E. nitens. Thirty-six QTL positions for cellulose content, pulp yield, lignin content, density, and microfibril angle (MFA) were identified across different linkage groups. On linkage groups (LG)2 and 8, cellulose QTL cluster with pulp yield and extractives QTL while on LG4 and 10 cellulose and pulp yield QTLs cluster together. Similarly, on LG4, 5, and 6 QTL for lignin traits were clustered together. At two positions, QTL for MFA, a physical trait related to wood stiffness, were clustered with QTL for lignin traits. Several cell wall candidate genes were co-located to QTL positions affecting different traits. Comparative QTL analysis with Eucalyptus globulus revealed two common QTL regions for cellulose and pulp yield. The QTL positions identified in this study provide a resource for identifying wood quality genes using the impending Eucalyptus genome sequence. Candidate genes identified in this study through co-location to QTL regions may be useful in association studies.

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Genome-wide QTL mapping for three traits related to teat number in a White Duroc × Erhualian pig resource population

Cited by 40 publications

References 28 publications

A whole genome scan to detect quantitative trait loci for gestation length and sow maternal ability related traits in a White Duroc × Erhualian F2 resource population

A whole genome scan to detect quantitative trait loci for gestation length and sow maternal ability related traits in a White Duroc × Erhualian F2 resource population

Molecular cloning, mRNA expression and imprinting status of PEG3, NAP1L5 and PPP1R9A genes in pig

Quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens

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