Confirmation of vertical transmission of bovine immunodeficiency virus in naturally infected dairy cattle using the polymerase chain reaction.

The purpose of this study was to determine whether bovine immunodeficiency virus (BIV) is vertically transmitted in naturally infected dairy cattle. Twenty-two dam/calf pairs from a Mississippi Agriculture and Forestry Experiment Station dairy were the study group. Blood samples were collected following delivery of calves, the peripheral blood leukocytes were purified from these samples, and the leukocyte DNA was used in polymerase chain reactions targeting the pol gene region of the BIV provirus. Southern blotting and hybridization were used to confirm the BIV specificity of the amplified fragments. BIV provirus was detected in 14 of 22 calves (64%), demonstrating vertical transmission. Eight of the calves were disqualified from the final interpretation of transplacental transfer because they may have nursed their mothers prior to blood collection, allowing the possibility of lactogenic transfer of the virus. Transplacental transmission of BIV was identified in 6 of 22 calves (27%).     

澳大利亚"恐龙植物"出击全球市场

4月1日,澳大利亚开始对“恐龙植物”——瓦勒迈杉(WollemiPine)进行解禁,开放销售,很快,其他国家陆续开始引进瓦勒迈杉。瓦勒迈杉属南洋杉科,是世界最古老的物种之一,与恐龙同时出现在侏罗纪时代,距今已有将近两亿年。以前考古学家曾多次找到过该树种的化石。不过,长期以来人们     

T cell activation by lipopeptide antigens

Unlike major histocompatibility proteins, which bind peptides, CD1 proteins display lipid antigens to T cells. Here, we report that CD1a presents a family of previously unknown lipopeptides from Mycobacterium tuberculosis, named didehydroxymycobactins because of their structural relation to mycobactin siderophores. T cell activation was mediated by the alphabeta T cell receptors and was specific for structure of the acyl and peptidic components of these antigens. These studies identify a means of intracellular pathogen detection and identify lipopeptides as a biochemical class of antigens for T cells, which, like conventional peptides, have a potential for marked structural diversity.     

Chemical comparison of goldenseal (Hydrastis canadensis L.) root powder from three commercial suppliers

The characterization of herbal materials is a significant challenge to analytical chemists. Goldenseal (Hydrastis canadensis L.), which has been chosen for toxicity evaluation by NIEHS, is among the top 15 herbal supplements currently on the market and contains a complex mixture of indigenous components ranging from carbohydrates and amino acids to isoquinoline alkaloids. One key component of herbal supplement production is botanical authentication, which is also recommended prior to initiation of efficacy or toxicological studies. To evaluate material available to consumers, goldenseal root powder was obtained from three commercial suppliers and a strategy was developed for characterization and comparison that included Soxhlet extraction, HPLC, GC-MS, and LC-MS analyses. HPLC was used to determine the weight percentages of the goldenseal alkaloids berberine, hydrastine, and canadine in the various extract residues. Palmatine, an isoquinoline alkaloid native to Coptis spp. and other common goldenseal adulterants, was also quantitated using HPLC. GC-MS was used to identify non-alkaloid constituents in goldenseal root powder, whereas LC-MS was used to identify alkaloid components. After review of the characterization data, it was determined that alkaloid content was the best biomarker for goldenseal. A 20-min ambient extraction method for the determination of alkaloid content was also developed and used to analyze the commercial material. All three lots of purchased material contained goldenseal alkaloids hydrastinine, berberastine, tetrahydroberberastine, canadaline, berberine, hydrastine, and canadine. Material from a single supplier also contained palmatine, coptisine, and jatrorrhizine, thus indicating that the material was not pure goldenseal. Comparative data for three commercial sources of goldenseal root powder are presented.     

The influence of scale and the spatial characteristics of landscapes on land-cover mapping using remote sensing

Statistical analyses provide a means for assessing relationships between landscape spatial pattern and errors in the estimates of cover-type proportions as land-cover data are aggregated to coarser scales. Results from a multiple-linear regression model suggest that as patch sizes, variance/mean ratio, and initial proportions of cover types increase, the proportion error moves in a positive direction and is governed by the interaction of the spatial characteristics and the scale of aggregation. However, the standard linear model does not account for the different directions of scale-dependent proportion error since some classes become larger and others become smaller as the scene is aggregated. Addition of indicator variables representing class-type significantly improves the performance by allowing the model to respond differently to different classes. A regression tree model provides a much simpler fit to the complex scaling behavior through an interaction between patch size and aggregation scale. An understanding of the relationships between landscape pattern, scale, and proportion error may advance methods for correcting land-cover area estimates. Such methods could also facilitate high-resolution calibration and validation of coarse-scale remote-sensing-based land-cover mapping algorithms. Ongoing initiatives to produce global land-cover datasets from remote sensing, such as efforts within the IGBP and the EOS MODIS Land-Team, include significant emphasis on high level calibration and validation activities of this nature.     

Effect of pretreating heifers with human chorionic gonadotropin and estradiol on subsequent in vitro luteal tissue progesterone biosynthesis

The use of in vivo treatments of human chorionic gonadotropin (HCG), estradiol, or HCG plus estradiol was investigated as a method to provide large amounts of LH-sensitive luteal tissue for more extensive in vitro studies. HCG (total dose 11,000) treatments to heifers on Days 1 to 7 of the estrous cycle produced tissue that was senitive to LH added in vitro, but Day 11 corpora lutea of the heifers were only slightly larger than normal. Total doses of 13,000 and 15,000 IU HCG increased the weight of the corpora by factors of 2 and 3, but reduced or abolished the LH response in vitro. Treatment with 5000 IU HCG on either Day 8 or 9 did not substantially increase the weight of the corpora. Basal Day 11 in vitro progesterone synthesis was high, probably due to the recent in vivo luteotrophic treatment. However, the tissue was not capable of further stimulation with LH in vitro. Pretreatment with HCG plus estradiol in 2 experiments resulted in tissues with poor in vitro LH sensitivity. Pretreatment with 3 mg estradiol at 4, 6.5, or 12.5 hours before removal of the corpus on Day 11 also reduced the sensitivity of the tissue to LH IN vitro. These data support the theory that in vivo luteotrophic treatment may deplete a preformed precursor of progesterone, which reduces or abolishes LG sensitivity in vitro. However, results obtained when estradiol was given at levels and times used in these experiments did not support the idea that estradiol reduces endogenous gonadotropins.