浅论云南野生蕈菌资源及其利用

云南野生蕈菌物种资源十分丰富,据初步统计仅野生食用菌就有约600种,其中目前具有重要经济、开发价值的有近60种,滇南、滇中和滇北都有可重点开发的种类,这些野生食用菌是云南各族人民物质生活中依赖的重要自然资源之一,在改善膳食结构和发展经济中,起着不可忽视的作用。为有效保护和持续利用云南野生蕈菌资源,在开发该省野生食用菌资源时,应重视发展野生食用菌深加工工业,提高产品的附加值;此外,人工促繁、优良菌种的引入和利用乡土菌种选育新品种,是持续发展的重要方面。云南的毒蘑菇,特别是剧毒菌,如灰花纹鹅膏和欧氏鹅膏的资源利用潜力较大,应重视此类毒菌毒素的研究和利用。     

Influence of glucose feeding on the ligninolytic enzyme production of the white-rot fungus Phanerochaete chrysosporium

The present work studied the influence of glucose feeding on the ligninolytic enzyme production of Phanerochaete chrysosporium in a nitrogen-limited (C/N ratio is 56/8.8 mmol/L) medium. Several sets of shaking flask experiments were conducted. The results showed that 2 g/L glucose feeding on the first day of the culture (24 h after the inoculation) simulated both fungal biomass growth and enzyme production. The manganese peroxidase (MnP) activity was 2.5 times greater than that produced in cultures without glucose feeding. Furthermore, the glucose feeding mode in fed-batch culture was also investigated. Compared to cultures with glucose feeding every 48 h, cultures with glucose feeding of 1.5 g/L (final concentration) every 24 h produced more enzymes. The peak and total yield of MnP activity were 2.7 and 3 times greater compared to the contrast culture, respectively, and the enzyme was kept stable for 4 days with an activity of over 200 U/L. Translated from Acta Scientise Circumstantiae, 2007, 27(3): 363–368 [译自: 环境科学学报]     

昆明市废弃食用油脂污染及其管理

本文通过对昆明市废弃食用油的去向对环境污染和人体危害的调查，提出了加强管理的措施及处理工艺。以达到对其有效治理和合理运用的目的。     

贵州木本食用油料资源及其开发利用

对贵州野生特有和稀有的大宗木本食用油料的种类、分布、现状等进行了分析，提出了提高大宗食用木本油料经营水平，选择利用野生木本油料植物资源，加强特有和稀有资源的保护、驯化和繁殖等开发利用建议。     

利用天然资源开发食用色素

介绍了天然食用色素的新品种、制备方法、纯化方法和改性研究的进展，分析了天然食用色素的发展趋势。     

池州悬钩子的食用价值与茶多酚含量研究

研究了池州市悬钩子属植物的食用价值与其中茶多酚(TP)的含量,目的是为了综合利用悬钩子属植物,促进其全面开发,提高经济效益.用正交实验法确定了提取TP的最佳实验条件,用分光光度法测定其含量.从分析结果看,悬钩子属植物中含有一定量的TP.因此,在开发悬钩子属植物果实作为第三代水果资源时,从其茎叶中提取TP具有一定的经济价值,这对促进悬钩子资源的开发与利用是很有意义的.     

Reservoir‐host amplification of disease impact in an endangered amphibian

Emerging wildlife pathogens are an increasing threat to biodiversity. One of the most serious wildlife diseases is chytridiomycosis, caused by the fungal pathogen, Batrachochytrium dendrobatidis (Bd), which has been documented in over 500 amphibian species. Amphibians vary greatly in their susceptibility to Bd; some species tolerate infection, whereas others experience rapid mortality. Reservoir hosts—species that carry infection while maintaining high abundance but are rarely killed by disease—can increase extinction risk in highly susceptible, sympatric species. However, whether reservoir hosts amplify Bd in declining amphibian species has not been examined. We investigated the role of reservoir hosts in the decline of the threatened northern corroboree frog (Pseudophryne pengilleyi) in an amphibian community in southeastern Australia. In the laboratory, we characterized the response of a potential reservoir host, the (nondeclining) common eastern froglet (Crinia signifera), to Bd infection. In the field, we conducted frog abundance surveys and Bd sampling for both P. pengilleyi and C. signifera. We built multinomial logistic regression models to test whether Crinia signifera and environmental factors were associated with P. pengilleyi decline. C. signifera was a reservoir host for Bd. In the laboratory, many individuals maintained intense infections (>1000 zoospore equivalents) over 12 weeks without mortality, and 79% of individuals sampled in the wild also carried infections. The presence of C. signifera at a site was strongly associated with increased Bd prevalence in sympatric P. pengilleyi. Consistent with disease amplification by a reservoir host, P. pengilleyi declined at sites with high C. signifera abundance. Our results suggest that when reservoir hosts are present, population declines of susceptible species may continue long after the initial emergence of Bd, highlighting an urgent need to assess extinction risk in remnant populations of other declined amphibian species.     

Using a Bayesian network to clarify areas requiring research in a host–pathogen system

Bayesian network analyses can be used to interactively change the strength of effect of variables in a model to explore complex relationships in new ways. In doing so, they allow one to identify influential nodes that are not well studied empirically so that future research can be prioritized. We identified relationships in host and pathogen biology to examine disease‐driven declines of amphibians associated with amphibian chytrid fungus (Batrachochytrium dendrobatidis). We constructed a Bayesian network consisting of behavioral, genetic, physiological, and environmental variables that influence disease and used them to predict host population trends. We varied the impacts of specific variables in the model to reveal factors with the most influence on host population trend. The behavior of the nodes (the way in which the variables probabilistically responded to changes in states of the parents, which are the nodes or variables that directly influenced them in the graphical model) was consistent with published results. The frog population had a 49% probability of decline when all states were set at their original values, and this probability increased when body temperatures were cold, the immune system was not suppressing infection, and the ambient environment was conducive to growth of B. dendrobatidis. These findings suggest the construction of our model reflected the complex relationships characteristic of host–pathogen interactions. Changes to climatic variables alone did not strongly influence the probability of population decline, which suggests that climate interacts with other factors such as the capacity of the frog immune system to suppress disease. Changes to the adaptive immune system and disease reservoirs had a large effect on the population trend, but there was little empirical information available for model construction. Our model inputs can be used as a base to examine other systems, and our results show that such analyses are useful tools for reviewing existing literature, identifying links poorly supported by evidence, and understanding complexities in emerging infectious‐disease systems.     

一株降解邻苯二甲酸酯真菌的筛选及其降解特性研究

采用富集培养法,从PAEs污染的农田土壤中筛选出1株邻苯二甲酸酯类化合物(PAEs)降解真菌F9,经形态学特征及18S rDNA序列分析,初步鉴定为爪哇正青霉(Eupenicillum javanicun).通过正交试验研究,得出菌株F9的最优降解条件是:C:N为20:1、pH为7.0、最佳PAEs初始浓度为50 mg·L^-1.菌株F9对土壤中复合PAEs(DMP、DEP和DOP)有良好的降解效果.在30 d培养期内,可将灭菌土壤中300 mg·kg^-1的PAEs降解65.2%,且培养第一阶段(0~15 d)的降解率远高于第二阶段(16~30 d).     

Contamination of wild-grown edible mushrooms by heavy metals in a former mercury-mining area

The aim of this study was to evaluate the contamination of six edible wild species of mushrooms (Boletus pulverulentus, Cantharellus cibarius, Lactarius quietus, Macrolepiota procera, Russula xerampelina and Suillus grevillei) by heavy metals (Hg, Cd, Pb, Zn, Cu, Ni, Cr, Co, Mn and Fe). Mushroom samples were collected from sites contaminated by emissions from mining and processing of polymetallic ores in operation during the period 1969–1993 in Rudňany, southeast Slovakia. The four study sites spanned up to a 5-km distance from the emission source. The collected mushroom samples were analyzed using Flame Atomic Absorption Spectrophotometry and/or Flame Atomic Absorption Spectrophotometry with graphite furnace. Mercury, Cd and, in some samples, also Pb present the highest risks in terms of contamination of the food chain following subsequent consumption. The content of two metals in the dry matter (dm) of the mushrooms exceeded the limits set by the European Union (EU; Cd: 0.5 mg/kg dm, Pb: 1.0 mg/kg dm). The highest mean contents of the eight metals recorded for S. grevillei were 52.2, 2.15, 107, 104, 2.27, 2.49, 81.6 and 434 mg/kg dm for Hg, Pb, Zn, Cu, Ni, Cr, Mn and Fe, respectively. The highest content of Cd was recorded in M. procera (3.05 mg/kg dm) and that of Co in L. quietus (0.90 mg/kg dm). The calculated weekly intake for Hg, Pb and Cd shows that regular consumption of mushrooms from the studied area poses risks to human health.