Polymorphisms in the Perilipin Gene May Affect Carcass Traits of Chinese Meat-type Chickens

Improved meat quality and greater muscle yield are highly sought after in high-quality chicken breeding programs. Past studies indicated that polymorphisms of the Perilipin gene (PLIN1) are highly associated with adiposity in mammals and are potential molecular markers for improving meat quality and carcass traits in chickens. In the present study, we screened single nucleotide polymorphisms (SNPs) in all exons of the PLIN1 gene with a direct sequencing method in six populations with different genetic backgrounds (total 240 individuals). We evaluated the association between the polymorphisms and carcass and meat quality traits. We identified three SNPs, located on the 5′ flanking region and exon 1 of PLIN1 on chromosome 10 (rs315831750, rs313726543, and rs80724063, respectively). Eight main haplotypes were constructed based on these SNPs. We calculated the allelic and genotypic frequencies, and genetic diversity parameters of the three SNPs. The polymorphism information content (PIC) ranged from 0.2768 to 0.3750, which reflected an intermediate genetic diversity for all chickens. The CC, CT, and TT genotypes influenced the percentage of breast muscle (PBM), percentage of leg muscle (PLM) and percentage of abdominal fat at rs315831750 (p<0.05). Diplotypes (haplotype pairs) affected the percentage of eviscerated weight (PEW) and PBM (p<0.05). Compared with chickens carrying other diplotypes, H3H7 had the greatest PEW and H2H2 had the greatest PBM, and those with diplotype H7H7 had the smallest PEW and PBM. We conclude that PLIN1 gene polymorphisms may affect broiler carcass and breast muscle yields, and diplotypes H3H7 and H2H2 could be positive molecular markers to enhance PEW and PBM in chickens

Identification of the Genes Involved in Riemerella anatipestifer Biofilm Formation by Random Transposon Mutagenesis

Riemerella anatipestifer causes epizootics of infectious disease in poultry that result in serious economic losses to the duck industry. Our previous studies have shown that some strains of R. anatipestifer can form a biofilm, and this may explain the intriguing persistence of R. anatipestifer on duck farms post infection. In this study we used strain CH3, a strong producer of biofilm, to construct a library of random Tn4351 transposon mutants in order to investigate the genetic basis of biofilm formation by R. anatipestifer on abiotic surfaces. A total of 2,520 mutants were obtained and 39 of them showed a reduction in biofilm formation of 47%–98% using crystal violet staining. Genetic characterization of the mutants led to the identification of 33 genes. Of these, 29 genes are associated with information storage and processing, as well as basic cellular processes and metabolism; the function of the other four genes is currently unknown. In addition, a mutant strain BF19, in which biofilm formation was reduced by 98% following insertion of the Tn4351 transposon at the dihydrodipicolinate synthase (dhdps) gene, was complemented with a shuttle plasmid pCP-dhdps. The complemented mutant strain was restored to give 92.6% of the biofilm formation of the wild-type strain CH3, which indicates that the dhdp gene is associated with biofilm formation. It is inferred that such complementation applies also to other mutant strains. Furthermore, some biological characteristics of biofilm-defective mutants were investigated, indicating that the genes deleted in the mutant strains function in the biofilm formation of R. anatipestifer. Deletion of either gene will stall the biofilm formation at a specific stage thus preventing further biofilm development. In addition, the tested biofilm-defective mutants had different adherence capacity to Vero cells. This study will help us to understand the molecular mechanisms of biofilm development by R. anatipestifer and to study the pathogenesis of R. anatipestifer further

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Glycosylation at 11Asn on hemagglutinin of H5N1 influenza virus contributes to its biological characteristics

Abstract A stem glycosylation site of hemagglutinin (HA) is important to the stability of the HA trimmer. A previous study shows that the stem 10/11 overlap glycosylation site of the H5 subtype avian influenza virus may influence the cleavage of HA, whereas the exact site and its effect on virulence remain unclear. In this study, site-directed mutagenesis was used to generate single or double mutant rSY-Δ10(10NNAT), rSY-Δ11(10NNSA), and rSY-Δ10/11(10NNAA) of the overlapping glycosylation site (10NNST) on the HA of A/Mallard/Huadong/S/2005(SY). By using Western blot analysis, we show that both rSY-Δ11 and rSY-Δ10/11 mutant viruses had significant delay on HA cleavage and a reduced HA molecular mass compared to the wild-type virus rSY, while the rSY-Δ10 mutant virus exhibited a similar HA molecular mass to that of the wild-type virus rSY. Interestingly, both rSY-Δ11 and rSY-Δ10/11 mutant viruses reverted their glycosylation sites at 11N after passage, indicating that 11N is a true and critical glycosylation site. Compared to the wild-type virus rSY, rSY-Δ11 and rSY-Δ10/11 mutant viruses had decreased growth rates, reduced thermo- and pH-stability, decreased pathogenicity, and limited systemic spread. Therefore, our study suggests that the 11N glycosylation site plays a key role in HA cleavage, structural stability and pathogenicity in H5 subtype avian influenza virus

In Vitro and In Vivo Metabolomic Profiling after Infection with Virulent Newcastle Disease Virus

Newcastle disease (ND) is an acute, febrile, highly contagious disease caused by the virulent Newcastle disease virus (vNDV). The disease causes serious economic losses to the poultry industry. However, the metabolic changes caused by vNDV infection remain unclear. The objective of this study was to determine the metabolomic profiling after infection with vNDV. DF-1 cells infected with the vNDV strain Herts/33 and the lungs from Herts/33-infected specific pathogen-free (SPF) chickens were analyzed via ultra-high-performance liquid chromatography/quadrupole time-of-flight tandem mass spectrometry (UHPLC-QTOF-MS) in combination with multivariate statistical analysis. A total of 305 metabolites were found to have changed significantly after Herts/33 infection, and most of them belong to the amino acid and nucleotide metabolic pathway. It is suggested that the increased pools of amino acids and nucleotides may benefit viral protein synthesis and genome amplification to promote NDV infection. Similar results were also confirmed in vivo. Identification of these metabolites will provide information to further understand the mechanism of vNDV replication and pathogenesis

Hemagglutinin-neuraminidase and fusion proteins of virulent Newcastle disease virus cooperatively disturb fusion–fission homeostasis to enhance mitochondrial function by activating the unfolded protein response of endoplasmic reticulum and mitochondrial stress

International audienceAbstractThe fusogenically activated F and HN proteins of virulent NDV induce complete autophagic flux in DF-1 and A549 cells. However, the effect of both glycoproteins on mitochondria remains elusive. Here, we found that F and HN cooperation increases mitochondrial biogenesis but does not cause the mitochondria damage. We observed that both glycoproteins change the morphological characteristics and spatial distribution of intracellular mitochondria. F and HN cooperate cooperatively to induce ER stress and UPRmt. Our preliminary data suggested that F and HN cooperatively disturb mitochondrial fusion–fission homeostasis to enhance mitochondrial biogenesis, and eventually meet the energy demand of syncytium formation

Description of biofilm-defective <i>Riemerella anatipestifer</i> mutants.

a<p>Subcellular locations were predicted by the PSORTb v.3.0 server. Available: <a href="http://www.psort.org/psortb/index.html" target="_blank">http://www.psort.org/psortb/index.html</a>. Accessed 10 June 2012.</p>b<p>Functional characterization of the proteins was predicted by the software COGnitor. Available: <a href="http://www.ncbi.nlm.nih.gov/COG/old/xognitor.html" target="_blank">http://www.ncbi.nlm.nih.gov/COG/old/xognitor.html</a>. Accessed 10 June 2012. <b>Functional categories: (1) Information storage and processing:</b> (J: Translation, ribosomal structure and biogenesis; K: Transcription; L: DNA replication, recombination and repair); <b>(2) Cellular processes:</b> (D: Cell division and chromosome partitioning; O: Posttranslational modification, protein turnover, chaperones; M: Cell envelope biogenesis, outer membrane; P: Inorganic ion transport and metabolism; T: Signal transduction mechanisms); <b>(3) Metabolism:</b> (C: Energy production and conversion; E: Amino acid transport and metabolism; F: Nucleotide transport and metabolism); <b>(4) Poorly characterized:</b> (R: General function prediction only; S: Function unknown).</p>c<p>–: No related COG.</p>d<p>Gene not found on the genome <i>R. anatipestifer</i> DSM15868 (accession number: CP002346), but on that of strain CH3 (accession number: JN986833-JN986836).</p