Envelope glycoproteins of hantavirus can mediate cell-cell fusion independently

Hantaviruses (HTVs) are enveloped viruses and can induce low PH-dependent cell fusion. In this report we molecularly cloned viral glycoproteins (GPs) cDNA and nucleocapsid (NP) cDNA of two strains of Hantaan virus and one strain of Seoul virus and expressed in Vero E6 cells under control of a CMV promoter. The examinations of viral gene expressions were carried out by IFA and immune-precipitation. After treatment with low PH (PH 5.8) medium the syncytium were observed in the cells transfected with the GPs clones while in the cells transfected with the NP clones we did not find this phenomenon. Furthermore cotransfection of the NP and GPs did not enhance fusion activity. Treatment with anti-GP monoclonal antibodies could inhibit fusion activity whereas the antibodies against NP could not. These results indicated that GPs can mediate cell-cell fusion independently

Data Mining in Networks of Differentially Expressed Genes during Sow Pregnancy

Small to moderate gains in Pig fertility can mean large returns in overall efficiency, and developing methods to improve it is highly desirable. High fertility rates depend on completion of successful pregnancies. To understand the molecular signals associated with pregnancy in sows, expression profiling experiments were conducted to identify differentially expressed genes in ovary and myometrium at different pregnancy periods using the Affymetrix Porcine GeneChipTM. A total of 974, 1800, 335 and 710 differentially expressed transcripts were identified in the myometrium during early pregnancy (EP) and late pregnancy (LP), and in the ovary during EP and LP, respectively. Self-Organizing Map (SOM) clusters indicated the differentially expressed genes belonged to 7 different functional groups. Based on BLASTX searches and Gene Ontology (GO) classifications, 129 unique genes closely related to pregnancy showed differential expression patterns. GO analysis also indicated that there were 21 different molecular function categories, 20 different biological process categories, and 8 different cellular component categories of genes differentially expressed during sow pregnancy. Gene regulatory network reconstruction provided us with an interaction model of known genes such as insulin-like growth factor 2 (IGF2) gene, estrogen receptor (ESR) gene, retinol-binding protein-4 (RBP4) gene, and several unknown candidate genes related to reproduction. Several pitch point genes were selected for association study with reproduction traits. For instance, DPPA5 g.363 T>C was found to associate with litter born weight at later parities in Beijing Black pigs significantly (p < 0.05). Overall, this study contributes to elucidating the mechanism underlying pregnancy processes, which maybe provide valuable information for pig reproduction improvement

Genome-wide Association Study of Porcine Hematological Parameters in a Large White × Minzhu F2 Resource Population

Hematological traits, which are important indicators of immune function in animals, have been commonly examined as biomarkers of disease and disease severity in humans and animals. Genome-wide significant quantitative trait loci (QTLs) provide important information for use in breeding programs of animals such as pigs. QTLs for hematological parameters (hematological traits) have been detected in pig chromosomes, although these are often mapped by linkage analysis to large intervals making identification of the underlying mutation problematic. Single nucleotide polymorphisms (SNPs) are the common form of genetic variation among individuals and are thought to account for the majority of inherited traits. In this study, a genome-wide association study (GWAS) was performed to detect regions of association with hematological traits in a three-generation resource population produced by intercrossing Large White boars and Minzhu sows during the period from 2007 to 2011. Illumina PorcineSNP60 BeadChip technology was used to genotype each animal and seven hematological parameters were measured (hematocrit (HCT), hemoglobin (HGB), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), red blood cell count (RBC) and red blood cell volume distribution width (RDW)). Data were analyzed in a three step Genome-wide Rapid Association using the Mixed Model and Regression-Genomic Control (GRAMMAR-GC) method. A total of 62 genome-wide significant and three chromosome-wide significant SNPs associated with hematological parameters were detected in this GWAS. Seven and five SNPs were associated with HCT and HGB, respectively. These SNPs were all located within the region of 34.6-36.5 Mb on SSC7. Four SNPs within the region of 43.7-47.0 Mb and fifty-five SNPs within the region of 42.2-73.8 Mb on SSC8 showed significant association with MCH and MCV, respectively. At chromosome-wide significant level, one SNP at 29.2 Mb on SSC1 and two SNPs within the region of 26.0-26.2 Mb were found to be significantly associated with RBC and RDW, respectively. Many of the SNPs were located within previously reported QTL regions and appeared to narrow down the regions compared with previously described QTL intervals. In current research, a total of seven significant SNPs were found within six candidate genes SCUBE3, KDR, TDO, IGFBP7, ADAMTS3 and AFP. In addition, the KIT gene, which has been previously reported to relate to hematological parameters, was located within the region significantly associated with MCH and MCV and could be a candidate gene. These results of this study may lead to a better understanding of the molecular mechanisms of hematological parameters in pigs

Thoughts on Science and Technology Service in Agricultural Research Institutes: Taking Institute of Plant Protection of Hebei Academy of Agricultural and Forestry Sciences as an Example

Scientific and technological services are necessary for strengthening agriculture. Under the new situation, agricultural research institutes should give full play to their advantages, strive to innovate scientific and technological services methods, and improve scientific and technological service levels. Combined with the practice of science and technology work of Institute of Plant Protection of Hebei Academy of Agricultural and Forestry Sciences, this paper made an in-depth analysis on the present situations and existing problems in the scientific and technological services of agricultural research institutes. Based on the analysis, it came up with recommendations including change ideological concepts, strengthening service awareness, adhering to people-oriented principle, enhancing the team building, improving mechanism construction, stimulating innovative vitality, exploring service methods, and enriching service connotation, so as to improve scientific and technological service works

Current Situation and Thinking of Introduction, Cultivation and Use of High-level Talents in Agricultural Research Institutes under the New Era: A Case Study of Hebei Academy of Agriculture and Forestry Sciences

Current situation of introduction, cultivation and use of high-level talents in agricultural research institutes is analyzed, and the optimized development strategy of further strengthening the construction, introduction, cultivation and use of high-level talent team is thought. It plays a positive role in provincial agricultural research institutes discovering, cultivating and gathering a number of high-quality talents and high-level innovation teams

Thoughts on the Professional Training of Scientific and Technological Management Team of High-level Talents in Provincial Agricultural Research Institutes

From two aspects: the composition of scientific research management institutions and the tasks undertaken by scientific research management departments, the present situation of scientific and technological management team in agricultural research institutes is expounded. Some problems existed in the scientific and technological management team of provincial agricultural research institutes are analyzed, such as uneven knowledge structure of scientific research management personnel, low degree of specialization, poor stability, lack of professional and systematic job training, etc. Professional development countermeasures are proposed, such as optimizing the structure of scientific research management team, establishing a professional management system with the characteristics of agricultural scientific research institutions, formulating corresponding evaluation mechanism for scientific research management personnel, and strengthening the training of agricultural scientific research management personnel

AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection

Although deep learning-based techniques for salient object detection have considerably improved over recent years, estimated saliency maps still exhibit imprecise predictions owing to the internal complexity and indefinite boundaries of salient objects of varying sizes. Existing methods emphasize the design of an exemplary structure to integrate multi-level features by employing multi-scale features and attention modules to filter salient regions from cluttered scenarios. We propose a saliency detection network based on three novel contributions. First, we use a dense feature extraction unit (DFEU) by introducing large kernels of asymmetric and grouped-wise convolutions with channel reshuffling. The DFEU extracts semantically enriched features with large receptive fields and reduces the gridding problem and parameter sizes for subsequent operations. Second, we suggest a cross-feature integration unit (CFIU) that extracts semantically enriched features from their high resolutions using dense short connections and sub-samples the integrated information into different attentional branches based on the inputs received for each stage of the backbone. The embedded independent attentional branches can observe the importance of the sub-regions for a salient object. With the constraint-wise growth of the sub-attentional branches at various stages, the CFIU can efficiently avoid global and local feature dilution effects by extracting semantically enriched features via dense short-connections from high and low levels. Finally, a contour-aware saliency refinement unit (CSRU) was devised by blending the contour and contextual features in a progressive dense connected fashion to assist the model toward obtaining more accurate saliency maps with precise boundaries in complex and perplexing scenarios. Our proposed model was analyzed with ResNet-50 and VGG-16 and outperforms most contemporary techniques with fewer parameters