植酸酶及其热稳定性研究进展

植酸酶能降解植物性饲料中的植酸盐类,释放出无机磷酸,对于提高饲料中磷的利用率,减轻畜禽高磷排泄物对环境的污染以及促进单胃动物对饲料中矿质营养的吸收利用有重要作用,因此植酸酶的研究有重要的科学和实用价值。获得高活性高热稳定性的植酸酶是近年来植酸酶工业的研究热点和难点,综述了植酸酶及其热稳定性研究的现状和提高植酸酶热稳定性方法的最新进展 。     

高强度酒精连续发酵

从多株酒精酵母菌株中筛选出S.cerevisiaeKG作为酒精生产菌株。该菌株具有较好的酒精发酵活力和絮凝性。使用具有细胞循环的连续发酵双罐系统,酒精生产强度达到30.5（g／1.h）。根据该系统的动力学模型,讨论了获得高强度酒精连续发酵的途径。     

基于光合系统参数建立马铃薯耐荫性综合评价体系

为构建便捷的马铃薯(Solanum tuberosum)耐荫性综合评价体系并发掘耐荫种质, 以35个马铃薯品种(系)为实验材料, 测定块茎膨大期遮荫下植株叶片叶绿素含量、光合能力和叶绿素荧光等光合参数及收获后块茎单株产量和淀粉含量等指标。根据耐荫系数, 利用主成分分析法、隶属函数法、聚类分析法和逐步回归分析法进行综合评价。通过主成分分析将马铃薯耐荫性相关的13个单项光合指标转换为6个综合指标, 代表了全部信息的87.51%。以此计算各种质的隶属函数值, 并以主成分的贡献率进行加权, 最终获得所用材料耐荫性的综合评价值(D值)。根据D值聚类分析结果将35个马铃薯分为4类, 其中Eshu10和Lishu6分别为耐荫性最强和最弱的品种。通过逐步回归分析建立了马铃薯耐荫性评价数学模型: D=0.060+0.106G_s+0.214qP+0.143NPQ。同时, 用该评价体系鉴定为耐荫性强的品种(系)在遮荫后其产量和/或淀粉含量等指标减幅均低于耐荫性弱的种质, 表明该评价体系可用于快速评价和预测马铃薯种质的耐荫性。     

秤锤树属与长果安息香属植物的地理分布及其濒危现状

秤锤树属(SinojackiaHu)和长果安息香属(ChangiostyraxC.T.Chen)是安息香科的少种属,这两属在我国共记录有7个种。本文通过野外调查,分析了中国这两属植物的地理分布、濒危现状及其迁地保护状况。结果表明:秤锤树属植物地理分布较广,但是每个物种的居群数量和居群大小均很小。其中秤锤树(Sinojackiaxylocarpa)和狭果秤锤树(S.rehderiana)已经在其模式标本产地灭绝;棱果秤锤树(S.henryi)在过去的近70年内没有采到过标本,该物种可能存在同物异名现象或已经灭绝;细果秤锤树(S.microcarpa)由于人为破坏严重,居群大小急剧下降;肉果秤锤树(S.sarcocarpa)和怀化秤锤树(S.oblongicarpa)呈零星分布且个体数量很少,处于极濒危状态。另外本次调查发现秤锤树属的一个新的分类群(待鉴定种)。秤锤树属的大多数种和长果安息香属植物的居群更新能力差:虽然结果率较高,但是结籽率较低;坚硬的内果皮阻碍了种子的萌发,这是其居群更新的最大障碍;另外人为破坏对其居群更新的影响也较大。作者建议应该把秤锤树属的所有物种和长果安息香属植物都纳入保护的范围并讨论了这两属植物的保护策略。     

苏云金芽孢杆菌S1478-1分离株的特性鉴定及cry1Ac同源基因克隆

本研究对从海南岛尖峰岭热带雨林自然保护区的土壤样品中分离出的Bt菌株S1478-1进行了特性鉴定,研究表明S1478-1分离株菌落形态和生长特征和Bt参照菌株HD73极其相似.16S rDNA序列分析表明,S1478-1分离株与其它B.thuringiensis、B.cereus和B.anthracis的16S rDNA序列相似性达到99%.分离株能产菱形伴胞晶体,SDS-PAGE蛋白电泳分析表明,菌株在生长后期,形成芽孢同时分泌130 kD大小的晶体蛋白.生物测定表明S1478-1分离株对小菜蛾具有很高的毒杀活性,LC50卯值高达5.159 ×108cfu/mL.初步显示S1478-1分离株可作为防治鳞翅目害虫的生物农药菌株.利用PCR-RFLP方法鉴定S1478-1分离株含有cry1Ac同源基因,以PCR粘性端克隆方法扩增全长基因,序列测定表明该基因ORF为3 537bp,编码1178个氨基酸,推定的编码蛋白分子量为133.3 kD,与其它cry1Ac基因序列最高达到99%同源,因此,该基因可作为杀虫工程菌及培育转基因抗虫作物的候选基因.     

云南省突颚反颚茧蜂属一新种记述（膜翅目：茧蜂科：反颚茧蜂亚科）

本文描述了云南省突颚反颚茧蜂属ＨｅｒａｔｅｍｉｓＷａｌｋｅｒ１新种─—缺刺反颚茧蜂Ｈ．ｅｎｎｄｉｓＷｕｅｔＣｈｅｎ,并建立了该属中国已知３种的分种检索表。新种模式标本保存于福建农业大学益虫室。     

Pharmacological studies of the large-scaled purified genistein from Huaijiao (Sophora japonica – Leguminosae) on anti-osteoporosis

In this report, we used genistein that was extracted from a Chinese herbal medicine Huaijiao (Sophora japonica – Leguminosae) to evulate its pharmacological function on anti-osteoporosis. This genistein is purified in a large-scale production from Huaijiao by a state-of-art method as described by Tian et al. [2004. The preparation of genistein and LC-MS/MS on-line analysis. Drug Devel. Res. 61, 6–12]. Chemical structure of the isolated genistein was examined by using various techniques including nuclear magnetic resonant spectrum, infrared absorption spectrum, ultraviolet absorption spectrum and mass spectrum, and was proved to be identical to those purified from soybean in a small scale as previously reported. We randomly divided female SD rats into 6 groups, including control, ovariectomized model, Nilestriol-treated, and three level of dosages of genistein-treated. We evaluated the pharmacological effects of genistein against osteoporosis by measuring the bone density of femur and bone mineral group including calcium, phosphorous, and magnesium. The consequences of genistein treatment on bone histology and morphology were also determined by measuring the trabcular area, thickness and number. Our results indicated that treatment with a 4.5 or 9 mg/kg dosage of genistein could also prevent osteoporosis significantly at the 4th week after treatment. In comparison with the anti-osteoporosis effects of soybean genistein, the genistein extracted from Huaijiao has the same beneficial effect on anti-osteoporosis.     

Adjusting for Nonignorable Missingness When Estimating Generalized Additive Models

Generalized additive models (GAMs) have been widely used for flexible modeling of various types of outcomes. When the outcome in a GAM is subject to missing, practical analyses often assume that missingness is missing at random (MAR). This assumption can be of suspicion when the missingness is not by design. Evaluating the potential effects of alternative nonignorable missing data mechanism on the MAR inference from a GAM can be important but often challenging due to the complicatedness of alternative nonignorable models. We apply the index approach to local sensitivity (Troxel, Ma, and Heitjan 2004 (2004). Statistica Sinica 14 , 1221–1237) to evaluate the potential changes of the GAM estimates in the neighborhood of the MAR model. The approach avoids fitting any complicated nonignorable GAM. Only MAR estimates are required to calculate the resulting sensitivity index and adjust the GAM estimates to account for nonignorable missingness. Thus the proposed approach is considerably simpler to conduct, as compared with the alternative methods. The simulation study shows that the index provides valid assessment of the local sensitivity of the GAM estimates to nonignorable missingness. We then illustrate the method using a rheumatoid arthritis clinical trial data set.