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81.
Yuting Liang Zhili He Liyou Wu Ye Deng Guanghe Li Jizhong Zhou 《Applied and environmental microbiology》2010,76(4):1088-1094
High-density functional gene arrays have become a powerful tool for environmental microbial detection and characterization. However, microarray data normalization and comparison for this type of microarray remain a challenge in environmental microbiology studies because some commonly used normalization methods (e.g., genomic DNA) for the study of pure cultures are not applicable. In this study, we developed a common oligonucleotide reference standard (CORS) method to address this problem. A unique 50-mer reference oligonucleotide probe was selected to co-spot with gene probes for each array feature. The complementary sequence was synthesized and labeled for use as the reference target, which was then spiked and cohybridized with each sample. The signal intensity of this reference target was used for microarray data normalization and comparison. The optimal amount or concentration were determined to be ca. 0.5 to 2.5% of a gene probe for the reference probe and ca. 0.25 to 1.25 fmol/μl for the reference target based on our evaluation with a pilot array. The CORS method was then compared to dye swap and genomic DNA normalization methods using the Desulfovibrio vulgaris whole-genome microarray, and significant linear correlations were observed. This method was then applied to a functional gene array to analyze soil microbial communities, and the results demonstrated that the variation of signal intensities among replicates based on the CORS method was significantly lower than the total intensity normalization method. The developed CORS provides a useful approach for microarray data normalization and comparison for studies of complex microbial communities.Microarray-based technology has become a robust genomic tool to detect, track, and profile hundreds to thousands of different microbial populations simultaneously in complex environments such as soils and sediments. For example, GeoChip, a comprehensive functional gene array, has been developed for investigating biogeochemical, ecological, and environmental processes (12, 18, 23, 27, 29, 32). Although a massive amount of microarray data can be generated rapidly, one of the bottlenecks in using microarrays for environmental microbial community studies is the lack of an appropriate standard for data comparison and normalization (6). Currently, it is difficult to compare microarray data across different sites, experiments, laboratories, and/or time periods (10). This limits the power of the technology to address ecological and environmental questions.In pure culture-based functional genomics studies, genomic DNAs (gDNAs) have been used as a common reference for hybridizations in which the same amount of gDNAs are used to cohybridize with each target cDNA sample and then to normalize different target cDNAs based on the gDNA standard (4, 5, 8, 9, 19, 21, 23). Several normalization methods such as scale normalization, quantile normalization, and Lowess normalization have been used for gene expression studies (2). Using the gDNA standard method can minimize or eliminate differences in target cDNA quantity, spot morphology, uneven hybridization, labeling, and sequence-specific hybridization behaviors (5), and this allows the comparison of microarray data across different sites, laboratories, experiments, and/or times. The main rationale for gDNA as a common reference is that it provides complete coverage for all genes represented on the array because the DNA composition from a particular organism should be identical across different treatment samples even though RNA expression is different (8). However, this approach is not applicable to microbial community studies because not all communities have identical DNA compositions. Pooling of equal amounts of gDNA or RNA from every target sample to make a common sample could be used as an alternative reference for cohybridization (1, 22). However, the disadvantage of the sample pooling approach is that samples do not provide large amounts of DNA or RNA in a reliable and reproducible way. For example, groundwater samples usually have a very low biomass and thus would not provide enough DNA for pooling. In addition, the sample pool itself is uncharacterized, and gene abundance may be diluted out so that insufficient DNA is present to result in a positive signal some array features, especially for those genes in low abundance. Moreover, a new sample pool would be required for every new experiment, making comparison across experiments difficult. Thus, other approaches need to be developed for microbial community studies.Dudley et al. (7) used a 25-mer oligonucleotide that matched a small portion of the parental EST clone vector contained in every PCR product printed on the array for normalization of pure culture RNA expression. Although the oligonucleotide generated a stable hybridization signal on every array feature, this method requires a universal sequence tag as a “capture” sequence, limiting its general use in microbial community studies. Thus, in the present study, we developed a common oligonucleotide reference standard (CORS) approach by co-spotting a common oligonucleotide with each array feature to improve the accuracy and comparability of microarray data for microbial community studies. This method was evaluated by using a pilot array, a whole-genome array, and a functional gene array, and all results demonstrate that the developed CORS is a reliable and reproducible method for microarray data normalization and comparison for microbial community studies. 相似文献
82.
Background
Plant-pathogenic begomoviruses have a complex association with their insect vectors. The interactions of begomoviruses and reproduction of their vectors are poorly understood. Bemisia tabaci is known to transmit many begomoviruses, and the spread of B. tabaci, especially the B and Q ‘biotypes’, has been accompanied by the epidemics of begomoviruses. One of these identified disease-causing agents was Tomato yellow leaf curl China virus (TYLCCNV).Methodology/Principal Findings
In this study, we compared the egg production and realized fecundity of two ‘biotypes’ or putative species of the whitefly B. tabaci, including the alien invasive B and the indigenous ZHJ1 from Zhejiang, China, feeding on either healthy or TYLCCNV-infected tobacco plants. The ovary of the whitefly was composed of 12–22 telotrophic ovarioles. According to the morphology of the oocytes and level of yolk content, oocytes in ovarioles were divided into four developmental phases (I-IV). Significantly higher proportion of immature oocytes (phase II, III) and mature oocytes (phase IV) was observed in ovary of females that fed on TYLCCNV-infected tobacco compared to that on healthy plants. Moreover, there was significant increase of eggs laid of B whitefly that fed on TYLCCNV-infected tobacco plants during the early developmental stages. In contrast, the proportion of oocytes of different developmental phases and eggs laid had no significant differences between ZHJ1 whiteflies feeding on TYLCCNV-infected and non-infected host plants.Conclusions/Significance
The invasive B whitefly benefits from feeding on a begomovirus-infected plant through increased egg production and realized fecundity. 相似文献83.
84.
Chuanwu Xi Yongli Zhang Carl F. Marrs Wen Ye Carl Simon Betsy Foxman Jerome Nriagu 《Applied and environmental microbiology》2009,75(17):5714-5718
The occurrence and spread of antibiotic-resistant bacteria (ARB) are pressing public health problems worldwide, and aquatic ecosystems are a recognized reservoir for ARB. We used culture-dependent methods and quantitative molecular techniques to detect and quantify ARB and antibiotic resistance genes (ARGs) in source waters, drinking water treatment plants, and tap water from several cities in Michigan and Ohio. We found ARGs and heterotrophic ARB in all finished water and tap water tested, although the amounts were small. The quantities of most ARGs were greater in tap water than in finished water and source water. In general, the levels of bacteria were higher in source water than in tap water, and the levels of ARB were higher in tap water than in finished water, indicating that there was regrowth of bacteria in drinking water distribution systems. Elevated resistance to some antibiotics was observed during water treatment and in tap water. Water treatment might increase the antibiotic resistance of surviving bacteria, and water distribution systems may serve as an important reservoir for the spread of antibiotic resistance to opportunistic pathogens.The occurrence and spread of antibiotic-resistant bacteria (ARB) are pressing public health problems worldwide, and aquatic ecosystems are a recognized reservoir for ARB and antibiotic resistance genes (ARGs) (4, 6, 8, 11, 12, 15, 39). Naturally occurring ARB and ARGs in the aquatic environment are selected for and enriched for by antibiotics found in sewage and agricultural runoff, which result from the widespread and increased use of antibiotics (4, 11, 12, 15, 38). Historically, concerns about the microbial quality of drinking water have focused on the occurrence of pathogens in drinking water distribution systems (5, 34). However, the presence of trace levels of antibiotics and ARB in source water and finished drinking water may also greatly affect public health and is an emerging issue for the general public and the drinking water industry (3, 30). Although several studies have detected ARB in drinking water systems (2, 3, 20, 30, 38), most previous studies focused on cultivable bacteria and/or indicator organisms. Little is known about the fate of ARGs in drinking water systems, and it was recently proposed that ARGs are emerging contaminants (24).We used culture-dependent methods and molecular techniques to investigate the prevalence and dynamics of heterotrophic ARB and ARGs in a drinking water source (source RW-P) and treated drinking water (source DW-P) (see Materials and Methods in the supplemental material). We tested water from a drinking water plant located in Michigan and tap water from several small cities located in Michigan and Ohio (sources TW-1, TW-2, TW-3, and TW-4). Two independent samples were collected each time at each collection site at three different times, and we used four replicates from each sample for tests. We tested bacterial resistance to the following antibiotics: amoxicillin (amoxicilline), chloramphenicol, ciprofloxacin, gentamicin, rifampin (rifampicin), sulfisoxazole, and tetracycline. We also examined the presence of eight ARGs, including beta-lactam resistance genes (blaTEM and blaSHV), chloramphenicol resistance genes (cat and cmr), sulfonamide resistance genes (sulI and sulII), and tetracycline resistance genes (tetO and tetW).Total heterotrophic plate counts (HPC) were determined using R2A agar without added antibiotics. The water treatment process reduced the total HPC from 9.9 × 106 CFU/100 ml in source water to 68 CFU/100 ml in treated drinking water, indicating that there was efficient removal and/or deactivation of total HPC (Table (Table1).1). In contrast, the total 16S rRNA gene copy number decreased from 3.4 × 107 copies/100 ml in source water to 1.6 × 106 copies/100 ml in treated drinking water (Fig. (Fig.1).1). The discrepancy between the reduction in the HPC and the reduction in the total 16S rRNA gene copy number suggests that the final disinfection step effectively inactivated bacteria but most of the dead or damaged cells were still present in finished drinking water. The number of HPC in tap water ranged from 3.44 × 102 to 6.1 × 104 CFU/100 ml water, values that are lower than those for source water but significantly higher than those for treated drinking water, indicating that there is regrowth of bacteria in drinking water distribution systems. The copy numbers of total 16S rRNA genes in tap water ranged from 2.45 × 105 to 1.02 × 107 copies/100 ml water. The higher levels suggested by the 16S rRNA data are consistent with results of previous studies demonstrating that only 5 to 10% and 1% of bacteria in wastewater and soil, respectively, can be cultivated or identified by culture-based methods (9, 37). A significant correlation (P < 0.05, R2 = 0.78) was found between the 16S rRNA gene copy number and the total HPC if treated drinking water (DW-P) data were not included (Fig. (Fig.1).1). This suggests that cultivable bacteria in drinking water represent only a small portion of the total bacterial biomass. Including treated drinking water (DW-P) data resulted in a distorted correlation, suggesting that a large proportion of the 16S rRNA genes present came from dead and/or damaged cells. The levels of total heterotrophic bacteria were significantly higher in tap water (TW-1) than in treated drinking water (DW-P), indicating that there was bacterial regrowth in the water distribution system.Open in a separate windowFIG. 1.Heterotrophic bacteria and the 16S rRNA gene in different water samples. (A) Copy numbers of the 16S rRNA gene and numbers of heterotrophic bacteria (CFU) in 100 ml water. (B) Correlation (P < 0.05, R2 = 0.78) between the copy number of the 16S rRNA gene and the number of heterotrophic bacteria in different water samples (without the data for DW-P). RW-P, source water from the drinking water treatment plant; DW-P, finished drinking water from the drinking water treatment plant; TW-1, tap water from the city where the drinking water treatment plant is located; TW-2, TW-3, and TW-4, tap water from three towns in Michigan and Ohio close to the city where the TW-1 drinking water treatment plant is located. The statistical analysis was done using six samples for each type of water sample. Lg, log10.
Open in a separate windowaPrevalence was defined as the percentage of resistant HPC in the total HPC. The statistical analysis was done using six samples for each type and four technical replicates for each sample.bRW-P, source water from the drinking water treatment plant; DW-P, finished drinking water from the drinking water treatment plant; TW-1, tap water from the city where the drinking water treatment plant is located; TW-2, TW-3, and TW-4, tap water from three towns in Michigan and Ohio close to the city where the TW-1 drinking water treatment plant is located.cSignificantly different from RW-P.dSignificantly different from DW-P.The prevalence of HPC resistant to antibiotics was determined using R2A agar containing amoxicillin (4 mg/liter), chloramphenicol (16 mg/liter), ciprofloxacin (2 mg/liter), gentamicin (8 mg/liter), rifampin (2 mg/liter), sulfisoxazole (256 mg/liter), or tetracycline (8 mg/liter). Some groups of heterotrophic bacteria were resistant to all of the antibiotics at the concentrations tested in all water samples (Table (Table1).1). In the source water, 14.4% of the HPC were resistant to gentamicin and 1.7% were resistant to tetracycline. The resistance of HPC to amoxicillin, chloramphenicol, and rifampin was significantly higher (P < 0.01) in treated drinking water than in source water, while the resistance to sulfisoxazole was significantly lower (P < 0.01). Compared to treated drinking water (DW-P), the resistance of HPC to tetracycline in tap water was significantly greater and the resistance to amoxicillin was significantly lower (P < 0.01). The resistance to chloramphenicol and rifampin remained higher than the resistance in source water. The prevalence of HPC antibiotic resistance in tap water samples collected from other cities varied, but the resistance of HPC to rifampin was particularly high in all tap water samples.A number of previous studies have reported that ARB are common in drinking water (2, 3, 19, 25, 33). We added to these studies by testing water both before and after treatment, as well as tap water. Although the bacterial concentration was effectively lower during water treatment, the prevalence of resistance to amoxicillin, rifampin, and chloramphenicol nevertheless increased significantly.Several studies have discovered that chlorine, an agent widely used for disinfection, selects for ARB (2, 3, 9, 16, 33, 37). Armstrong et al. (2, 3) found that there was a significant increase in the proportion of multidrug-resistant (MAR) bacteria following flash mixing with chlorine. Murray et al. (16) demonstrated that the proportion of bacteria resistant to ampicillin and cephalothin (cefalotin) in sewage increased significantly following chlorination, and they observed a significant increase in the proportion of MAR strains during chlorination in laboratory experiments. Other studies demonstrated that the susceptibility of ARB to a disinfectant and the susceptibility of antibiotic-susceptible bacteria to a disinfectant are similar (7, 28), indicating that disinfection does not select ARB but instead induces the development of antibiotic resistance. Armstrong et al. (2, 3) suggested that stress-tolerant bacteria selected by chlorination might be more antibiotic resistant, and one study found that suboptimal chlorine treatment of drinking water selected for MAR Pseudomonas aeruginosa (33).The mechanism of chlorine-induced antibiotic resistance in bacteria is unknown. It is possible that chlorine can increase expression of the multidrug efflux pumps, leading to resistance to disinfection by-products as well as antibiotics. The drinking water treatment plant that we sampled used monochloramine as a disinfectant. No previous study has reported the effects of monochlroamine disinfection on ARB, but our results suggest that monochlromaine disinfection may have an effect similar to that of chlorine disinfection.Real-time PCR was used to quantify ARGs (including cat, cmr, blaTEM, blaSHV, sulI, sulII, tetW, and tetO) in collected water samples. All ARGs tested were detected in all water samples, except for the tetO and tetW genes, which were detected only in source water (Fig. (Fig.2).2). The copy number of each ARG in 100 ml water was calculated and normalized to the copy number of the total 16S rRNA genes to determine the relative abundance of each ARG in the water samples. Compared to the copy number in finished water, the copy number of ARGs in tap water was significantly greater (P < 0.001), except for the blaSHV gene, whose copy number was not significantly different (P = 0.124); the tetO and tetW genes were not detected in the drinking water sample after treatment. In terms of the relative abundance of ARGs in bacterial populations, all ARG/16S rRNA gene ratios were less than −3 log. Compared to source water, treated drinking water had a higher abundance of the cat and blaSHV genes (P < 0.001) but a lower abundance of the sulI gene (P < 0.001) (Fig. (Fig.2).2). No significant difference in any other ARG was found. After distribution, no significant change was observed in any ARG, except that the abundance of the blaTEM gene was significantly increased (P < 0.01) compared with the abundance in treated drinking water (DW-P) or in tap water (TW-1) (Fig. (Fig.2).2). The ARGs were also present in tap water samples collected from other cities. The similarity of the abundance of ARGs in the different tap water samples is quite remarkable (Fig. (Fig.2).2). The relative abundance of all ARGs was similar to that in the TW-1 tap water sample, except that the relative abundance of sulII and blaSHV was lower in the TW-2 and TW-3 tap water samples (Fig. (Fig.22).Open in a separate windowFIG. 2.Quantities of ARGs in different water samples. The bars indicate the copy numbers of the resistance genes normalized to the 16S rRNA gene copy number, and the symbols indicate the absolute copy numbers of ARGs in 100 ml water. RW-P, source water from the drinking water treatment plant; DW-P, finished drinking water from the drinking water treatment plant; TW-1, tap water from the city where the drinking water treatment plant is located; TW-2, TW-3, and TW-4, tap water from three towns in Michigan and Ohio close to the city where the TW-1 drinking water treatment plant is located. The statistical analysis was done using six samples for each type of water sample. Lg, log10.The quantities of individual ARGs were not significantly correlated with either HPC counts or 16S rRNA genes (data not shown), indicating that the ARGs tested were not evenly distributed among the bacterial populations in the water samples. However, the overall trends in quantity were similar for some ARGs and ARB. For example, in source water, treated drinking water, and tap water (TW-1), the number of heterotrophic bacteria resistant to amoxicillin, chloramphenicol, and sulfisoxazole corresponded to the proportion of genes coding for resistance to these antibiotics (blaSHV, cat, and sulI, respectively).Bacteria may inherit resistance to some antibiotics or can develop resistance via spontaneous mutation or the acquisition of resistant genes (35). The acquisition of a resistant gene via horizontal gene transfer is the most common and easiest way for bacteria to develop antibiotic resistance both in the environment and in a host (26, 29). Many bacteria transmit ARGs, and these ARGs were recently proposed to be emerging contaminants because of their widespread occurrence in aquatic ecosystems (13, 21, 22, 24). Plasmid-mediated blaTEM and blaSHV are the most common genes coding beta-lactamases and “extended-spectrum” beta-lactamases, a major cause of resistance to beta-lactams, and they are increasingly being found in different settings worldwide (14, 23). The enzymes encoded by these genes confer unequivocal resistance to ampicillin, amoxicillin, ticarillin, and carbenicillin (32, 36). We detected blaTEM and blaSHV genes in all but one water sample, which is evidence that these genes are distributed widely in drinking water systems. The selective increases in the levels of both genes in tap water due to either water treatment or regrowth within drinking water distribution systems suggest that the spread of at least some beta-lactam-resistant determinants may occur through drinking water distribution systems.Both tetO and tetW are tetracycline resistance genes encoding ribosomal protection proteins. Both of these genes are common in intestinal and rumen environments (1, 31); thus, their presence may indicate fecal contamination (22). If the tetO and tetW genes truly represent the level of fecal contamination, our results show that drinking water treatment was effective for eliminating and controlling fecal contamination.The most frequent cause of bacterial resistance to chloramphenicol is enzymatic inactivation by acetylation of the drug via different types of chloramphenicol acetyltransferases encoded by cat genes (17), but other mechanisms, such as efflux systems, may also contribute to chloramphenicol resistance (18). The proportion of cat genes increased significantly following water treatment, suggesting that the drinking water treatment did not effectively remove or inactivate the chloramphenicol-resistant bacterial population. On the other hand, the cmr gene, an efflux pump gene related to chloramphenicol resistance, showed little variation in different water sources.Sulfonamides act as competitive inhibitors of the enzyme dihydropteroate synthase in the folic acid pathway of bacterial and some eukaryotic cells. sulI and sulII encode alternative sulfonamide-resistant dihydropteroate synthases in gram-negative clinical bacteria, and both genes commonly occur (often at roughly the same frequency) in sulfisoxazole-resistant gram-negative clinical isolates (10). The drinking water treatment process significantly decreased the abundance of the sulI gene but had no significant influence on the sulII gene.In summary, we found heterotrophic ARB and ARGs in all finished water and tap water tested, although the amounts were small. The size of the general population of bacteria followed the order source water > tap water > finished water, indicating that there was regrowth of bacteria in drinking water distribution systems; elevated resistance to some antibiotics was observed during water treatment and in tap water. We show that the quantities of most ARGs are greater in tap water than in finished water and source water. The increased levels of ARGs and specialized groups of ARB in tap water compared to finished water and source water suggest that water treatment could increase the antibiotic resistance of surviving bacteria and/or induce transfer of ARGs among certain bacterial populations. Water distribution systems could serve as an incubator for growth of certain ARB populations and as an important reservoir for the spread of antibiotic resistance to opportunistic pathogens. Drinking water treatment processes and distribution systems can impact the spread of antibiotic resistance. Rusin et al. (27) estimated that the risk of infection by bacteria in drinking water was as low as 7.3 per billion people for exposure to low levels of Aeromonas and as high as 98 per 100 patients receiving antibiotic treatment exposed to high levels of Pseudomonas (27). Whether exposure to ARB results in an increased risk to the general public, particularly individuals with compromised immune systems, the very young, the very old, or individuals with chronic conditions, is not known and deserves further study. Future research should identify factors accounting for the selective increase in antibiotic resistance and develop new methods and approaches to reduce accumulation of such resistance. 相似文献
TABLE 1.
Prevalence of ARB HPC in source water, finished drinking water, and tap water from four townsaSampleb | Total HPC (CFU/100 ml) | % of total HPC resistant to:
| ||||||
---|---|---|---|---|---|---|---|---|
Amoxicillin | Ciprofloxacin | Chloramphenicol | Gentamicin | Rifampin | Sulfisoxazole | Tetracycline | ||
RW-P | 1.19 × 106 | 11.67 ± 4.39 | 11.60 ± 5.92 | 4.17 ± 1.93 | 14.42 ± 5.52 | 10.85 ± 3.57 | 7.46 ± 3.87 | 1.66 ± 0.80 |
DW-P | 68 | 39.55 ± 9.79c | 4.77 ± 4.71 | 19.45 ± 5.60c | 21.96 ± 14.43 | 47.98 ± 17.99c | 1.17 ± 1.14c | 1.50 ± 1.24 |
TW-1 | 1.6 × 104 | 15.22 ± 2.73d | 9.99 ± 4.76 | 13.96 ± 3.70c | 13.40 ± 1.73 | 62.00 ± 8.96c | 3.34 ± 1.21 | 3.78 ± 0.93c,d |
TW-2 | 6.04 × 104 | 3.02 ± 0.19 | 13.14 ± 0.48 | 5.49 ± 0.47 | 4.67 ± 0.21 | 28.10 ± 1.72 | 7.85 ± 0.67 | 0.08 ± 0.01 |
TW-3 | 3.44 × 102 | 4.07 ± 0.17 | 0.18 ± 0.07 | 0.75 ± 0.39 | 2.18 ± 0.62 | 82.15 ± 1.50 | 0.33 ± 0.03 | 0.98 ± 0.38 |
TW-4 | 2.46 × 103 | 14.33 ± 1.74 | 0.18 ± 0.05 | 2.05 ± 0.04 | 9.76 ± 0.34 | 14.23 ± 1.69 | 0.12 ± 0.001 | 0.04 ± 0.002 |
85.
Zhong Yao Kenshi Sakai Xujun Ye Tetsuya Akita Yuko Iwabuchi Yoshinobu Hoshino 《Ecological Informatics》2008,3(3):237-244
Alternate bearing of acorn is a well-marked yield variability phenomenon in forest production. In Japan, this phenomenon is also related to wildlife management (e.g. of animals such as wild pigs, that rely on acorn as their major feed source). Effective management of animals dependent on acorn will require accurate estimation of acorn yield at an early stage. In this paper, we proposed a way to estimate acorn yield from the canopy reflectance values of individual trees. Using an Airborne Imaging Spectrometer for Application (AISA) Eagle System, hyperspectral images in 72 visible and near-infrared wavelengths (407–898 nm) were acquired over an acorn forest in Japan 10 times over three consecutive years (2003–2005) during the early acorn growing season. The canopy spectral reflectance values for individual trees at each wavelength were extracted from the images, and important wavelengths were determined as estimating factors by the B-matrix technique based on partial least squares (PLS) analysis. Yield-estimating models were then developed by multiple linear regression (MLR). Three models obtained from images acquired on June 27 in 2003, July 13 in 2004 and June 21 in 2005 estimated acorn yield well in comparison with ground truth, indicating that the procedure has considerable potential. The study also demonstrated the B-matrix technique based on PLS analysis to be reliable and efficient in identifying important wavelengths for determining suitable estimating factors that best contribute to the estimation model. 相似文献
86.
Bao WB Ye L Pan ZY Zhu J Du ZD Zhu GQ Huang XG Wu SL 《Molecular biology reports》2012,39(3):3131-3136
Escherichia coli F18 (ECF18) is a common porcine enteric pathogen. The pathogenicity of ECF18 bacteria depends on the existence of ECF18 receptor
in the brush border membranes of piglet’s small intestinal mucosa. Alpha (1) fucosyltransferase gene (FUT1) has been identified as the candidate gene controlling the adhesion to ECF18 receptor. The genetic variations in the position
of M307 nucleotide in open reading frame of FUT1 have been proposed as a marker for selecting resistant pigs. The piglets were divided into three groups, AA, AG and GG, according
to the genotypes present at M307 of FUT1. Small intestinal epithelium cells of piglets with AA, AG and GG genotypes were selected to test the adhesion capability
of the wild type E.coli expressing F18ab fimbriae, the recombinant E. coli expressing F18ac fimbriae or the recombinant E. coli secreting and surface-displaying the FedF subunit of F18ab fimbriae, respectively. Here, we examined the distribution and
expression of porcine FUT1 mRNA in different tissues in Sutai pigs using real-time PCR. The results showed that piglets with AA genotype show resistance,
whereas piglets with GG or AG genotypes are sensitive to the pathogenic E. coli F18 in Sutai piglets. FUT1 was expressed in all the tissues that were examined, and the gene’s expression was highest in the lungs. There was no significant
difference in expression level among the three genotypes in the liver, lung, stomach and duodenum, where the gene expression
was relatively high. The present analysis suggested that mutation at M307 in FUT1 gene determines susceptibility of small intestinal epithelium to E. coli F18 adhesion in Sutai piglet and the expression of FUT1 gene may be regulated by other factors or the mutation was likely to be in linkage disequilibrium with some cis-regulatory
variants. 相似文献
87.
Johnson JD Han Z Otani K Ye H Zhang Y Wu H Horikawa Y Misler S Bell GI Polonsky KS 《The Journal of biological chemistry》2004,279(23):24794-24802
Cells are programmed to die when critical signaling and metabolic pathways are disrupted. Inhibiting the type 2 ryanodine receptor (RyR2) in human and mouse pancreatic beta-cells markedly increased apoptosis. This mode of programmed cell death was not associated with robust caspase-3 activation prompting a search for an alternative mechanism. Increased calpain activity and calpain gene expression suggested a role for a calpain-dependent death pathway. Using a combination of pharmacological and genetic approaches, we demonstrated that the calpain-10 isoform mediated ryanodine-induced apoptosis. Apoptosis induced by the fatty acid palmitate and by low glucose also required calpain-10. Ryanodine-induced calpain activation and apoptosis were reversed by glucagon-like peptide or short-term exposure to high glucose. Thus RyR2 activity seems to play an essential role in beta-cell survival in vitro by suppressing a death pathway mediated by calpain-10, a type 2 diabetes susceptibility gene with previously unknown function. 相似文献
88.
89.
PKCs have been implicated in the regulation of cellular differentiation, proliferation, apoptosis and signal transduction. It was demonstrated in this study that PKCα was located both at mitochondria and in cytosol in gastric cancer cell line BGC-823. Treatment of cells with 12-O-tetradecanoylphorbol-13-acetate (TPA) resulted in the translocation of PKCα from both mitochondria and cytosol to nucleus as clearly shown by laserscanningconfocal microscopy, while the protein level of PKCα was not changed by TPA treatment as detected by Western blot. The results also revealed that TPA-induced translocation of PKCα was in close association with apoptosis induction, and such association was further affirmed by other experiments where various apoptotic stimuli and specific inhibitors of PKC were used. Taken together, these findings indicate that translocation of PKCα from both mitochondria and cytosol to nucleus in gastric cancer cell is accompanied by induction of apoptosis, and may imply a new mechanism of the potential linking between cell apoptosis and PKCα translocation. 相似文献
90.
Zhang XL Liu M Xie P Wan S Tao Ye J Zhou X Wu J 《Bioorganic & medicinal chemistry letters》2004,14(14):3789-3792
We first synthesized N-pentafluorobenzyl-1-deoxynojirimycin (5F-DNM), one new derivative of 1-deoxynojirimycin (DNM). Effects on human peripheral blood mononuclear cells (PMBC) and secretion of cytokines from human PBMC by 5F-DNM were investigated. It was first found that 5F-DNM remarkably inhibited the secretion of interleukin-4 (IL-4) and had a specific inhibition on the expression of CD4 molecules. 5F-DNM, much less toxic than cyclosporin A, might be used as a new candidate of immunosuppressant for specifically treating Th2-mediated immune diseases. 相似文献