适用于获取最优化配方的一种算法

本文应用印楝种仁提取物（F3）与敌敌畏混配为例,以斜纹夜蛾（Spodopteralitura）为目标害虫,介绍一种适用于获取最优化配方的算法,在二次通用回归旋转组合设计的基础上,经参数辨识,获取二次回归方程,经失拟性、回归显著性检验,本方程基本能够反映杀虫剂用量与斜纹夜蛾幼虫死亡机率值之间的关系．在害虫防治实践中,要求在防治费用最小的基础上,目标害虫有最大的死亡率.因此,以防治目标害虫的费用作为优化算法的目标函数,以害虫死亡机率值最大作为约束条件,有如下的一组优化算式为目标函数约束条件式中a1,a2分别为参试杀虫剂1,2最低用量,b1,b2则为相应的最高用量．C1,C2分别为杀虫剂1,2的单价,N1,N2为杀虫剂l,2的用量．Y为目标害虫死亡机率值回归方程．本文所依据的试验设计中,以对数函数关系变换编码值与使用浓度之间的关系,所以应用拉格朗日求极值原理求取最优化配方．由计算所得的混配比例与其他方法所获结果一致．     

细菌巨大质粒的快速检测

本文报道了一种快速检测微生物巨大质粒的方法．该方法是通过对Ｅｃｋｈａｒｄｔ所报道的方法加以改进,使之能对根瘤菌、大肠杆菌、甚至链霉菌的大质粒进行快速检测．     

5’核苷酸酶碱性磷酸酶双重染色法在毛细淋巴管研究中的应用

本文应用5’-N-ALP双重染色法观察了裸鼠皮肤及人胃癌组织内淋巴管的形态和细微分布.在光镜下毛细淋巴管、淋巴管呈5’-N强阳性反应,管壁显示明显的棕色或深棕色,而毛细血管、血管的ALP呈强阳性,管壁呈明显的蓝色.据此可用组化方法将毛细淋巴管和毛细血管区别开来.本法能显示呈褐色的毛细淋巴管,特别是呈实性条索状的毛细淋巴管,因而双重染色比HE染色更能客观、准确地显示毛细淋巴管的分布.     

微量量热法在生命科学中的应用

介绍了微量量热系统的基本结构和工作原理,以及微量量热法在酶学、细胞生物学、微生物学、植物生理学研究中的应用。     

双单抗的免疫层析一步法用于早妊诊断的研究

在试管式、微孔式和斑点式的酶免测定法测定人绒毛膜促性腺激素（ＨＣＧ）的基础上,发展了应用双单克隆抗体的免疫层析一步法测定ＨＣＧ。此法用胶体金标记抗βＨＣＧ单克隆抗体,将抗αＨＣＧ单克隆抗体包被在硝酸纤维素膜上。无需分离步骤,特别是在进行测定时除加入样品外无需再加任何试剂,此方法特别迅速、简便,２～５ｍｉｎ即可得结果。凡ＨＣＧ浓度＞２５ＩＵ／Ｌ的样品可得到阳性结果。在人体血或尿中可能出现的高浓度的干扰物质,如抗坏血酸、乙酰水杨酸、雌二醇、蛋白质、胆红素、甘油三酯等对本测定均无干扰作用,在促黄体激素（ＬＨ）浓度高达５００ＩＵ／Ｌ时仍与ＨＣＧ没有交叉反应。能进行测定的最高值大于３００ＩＵ／ｍｌ,这表示,当ＨＣＧ浓度达到妊娠期的最高值时仍不会有假阴性结果。     

Localization and neuroanatomy of catecholaminergic neurons in some rotifer species

We studied Dicranophorus sp., Platyias quadricornis (Ehrb.) and Rotaria tardigrada (Ehrb.). These rotifers, systematically distant from each other, show the same pattern of the catecholaminergic (CA-ergic) part of the nervous system. It is formed of a small (23–24), but steady number of neurons characteristic for each species. Three types of CA-ergic neurons are described. The sizes of neurons vary from to two to ten µm. The distribution of the brain neurons is correlated with body shape. Such a type of nervous system is topographically comparable to the concentrated orthogon of the flatworms.     

Phylogenetic position of Dictyostelium inferred from multiple protein data sets

The phylogenetic position of Dictyostelium inferred from 18S rRNA data contradicts that from protein data. Protein trees always show the close affinity of Dictyostelium with animals, fungi, and plants, whereas in 18S rRNA trees the branching of Dictyostelium is placed at a position before the massive radiation of protist groups including the divergence of the three kingdoms. To settle this controversial issue and to determine the correct position of Dictyostelium, we inferred the phylogenetic relationship among Dictyostelium and the three kingdoms Animalia, Fungi, and Plantae by a maximum-likelihood method using 19 different protein data sets. It was shown at the significance level of 1 SE that the branching of Dictyostelium antedates the divergence of Animalia and Fungi, and Plantae is an outgroup of the Animalia-Fungi-Dictyostelium clade.Correspondence to: T. Miyata     

Evolutionary analysis of the picornavirus family

An exhaustive evolutionary analysis of the picornavirus family has been carried out using the amino acid sequences of several proteins of the viruses including: the capsid proteins (1D, 1B, and 1C) situated at the 5 end of the genome and responsible for the serotype of the viruses, and the viral polymerase (3D), located at the 3 end of the genome. The evolutionary relationships found among the viruses studied support the new classification, recently suggested, in contrast to the classical one, and the existence of a new genus for the picornavirus family. In the new taxonomic organization, five genera form the picornavirus family: (1) aphthoviruses, (2) cardioviruses, (3) hepatoviruses (previously classified as enteroviruses), (4) renteroviruses (which mainly constitute a combination of the previous genera rhinovirus and enterovirus), and (5) a new genus, with a new and unique representative: the echovirus 22. Our analysis also allowed us, for the first time, to propose the most probable sequence of speciation events to have given rise to the current picornavirus family.The bootstrap procedure was used to check the reliability of the phylogenetic trees obtained. The application of the method of the statistical geometry in distance space to internal branches of the tree revealed a high degree of evolutionary noise, which makes the resolution of some internal branching points difficult. Correspondence to: J. Dopazo     

A method for determining the position and size of optimal sequence regions for phylogenetic analysis

The availability of fast and accurate sequencing procedures along with the use of PCR has led to a proliferation of studies of variability at the molecular level in populations. Nevertheless, it is often impractical to examine long genomic stretches and a large number of individuals at the same time. In order to optimize this kind of study, we suggest a heuristic procedure for detection of the shortest region whose informational content can be considered sufficient for significant phylogenetic reconstruction. The method is based on the comparison of the pairwise genetic distances obtained from a set of sequences of reference to those obtained for different windows of variable size and position by means of a simple index. We also present an approach for testing whether the informative content in the stretches selected in this way is significantly different from the corresponding content shown by the larger genomic regions used as reference. Application of this test to the analysis of the VP1 protein gene of foot-and-mouth-disease type C virus allowed us to define optimal stretches whose informative content is not significantly different from that displayed by the complete VP1 sequence. We showed that the predictions made for type C sequences are valid for type O sequences, indicating that the results of the procedure are consistent. Correspondence to: J. Dopazo     

New methods for estimating the numbers of synonymous and nonsynonymous substitutions

New methods for estimating the numbers of synonymous and nonsynonymous substitutions per site were developed. The methods are unweighted pathway methods based on Kimura's two-parameter model. Computer simulations were conducted to evaluate the accuracies of the new methods, Nei and Gojobori's (NG) method, Miyata and Yasunaga's (MY) method, Li, Wu, and Luo's (LWL) method, and Pamilo, Bianchi, and Li's (PBL) method. The following results were obtained: (1) The NG, MY, and LWL methods give overestimates of the number of synonymous substitutions and underestimates of the number of nonsynonymous substitutions. The major cause for the biased estimation is that these three methods underestimate the number of synonymous sites and overestimate the number of nonsynonymous sites. (2) The PBL method gives better estimates of the numbers of synonymous and nonsynonymous substitutions than those obtained by the NG, MY, and LWL methods. (3) The new methods also give better estimates of the numbers of synonymous and nonsynonymous substitutions than those obtained by the NG, MY, and LWL methods. In addition, estimates of the numbers of synonymous and nonsynonymous sites obtained by the new methods are reasonably accurate. (4) In some cases, the new methods and the PBL method give biased estimates of substitution numbers. However, from the number of nucleotide substitutions at the third position of codons, we can examine whether estimates obtained by the new methods are good or not, whereas we cannot make an examination of estimates obtained by the PBL method. (5) When there are strong transition/transversion and nucleotide-frequency biases like mitochondrial genes, all of the above methods give biased estimates of substitution numbers. In such cases, Kondo et al.'s method is recommended to be used for estimating the number of synonymous substitutions, although their method cannot estimate the number of nonsynonymous substitutions and is time-consuming. These results, particularly result (1), call for reexaminations of some genes. This is because evolutionary pictures of genes have often been discussed on the basis of results obtained by the NG, MY, and LWL methods, which are favorable for the neutral theory of molecular evolution.