棉花抗枯、黄萎病品种系谱组成对其产量性状的影响

对我国引进和育成的52个抗枯、黄萎病品种的系谱及其对产量性状的影响进行分析,结果表明岱字棉与斯字棉血统在52个品种中占有较大的比例,其次是福字棉,而其他品种的血统较少。根据几个主要种质在不同品种中所占的比例进行聚类分析,可将52个品种分为4类。系谱组成不同对品种产量性状具有一定的影响,尤其对单铃重和子指影响较大。含有较大比例岱字棉血统的第一类品种单铃重明显高于含有较小比例岱字棉血统和部分斯字棉血统的第二类品种;第一类品种的子指也明显高于第二类品种和含有较大比例斯字棉血统的第四类品种。     

Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics

A total of 19 376 test day (TD) milk yield records from the first three lactations of 1618 cows daughters of 162 sires were used to estimate genetic and phenotypic parameters and determine the relationship between daily milk yield and lactation milk yield in the Sahiwal cattle in Kenya. Variance components were estimated using animal models based on a derivative free restricted maximum likelihood procedure. Variance components were estimated using various univariate and multi-trait fixed regression test day models (TDM) that defined contemporary groups either based on the year-season of calving (YSCV) or on the year-season of TD milk sampling (YSTD). Variance components were influenced by CG which resulted in differences in heritability and repeatability estimates between TDM. Models considering YSTD resulted in higher additive genetic variances and lower residual variances compared with models in which YSCV was considered. Heritability estimates for daily yield ranged from 0.28 to 0.46, 0.38 to 0.52 and 0.33 to 0.52 in the first, second and third lactation, respectively. In the first and second lactation, the heritability estimates were highest between TD 2 and TD 4. Genetic correlations among daily milk yields ranged from 0.41 to 0.93, 0.50 to 0.83 and 0.43 to 86 in the first, second and third lactation, respectively. The phenotypic correlations were correspondingly lower. Genetic correlations were different from unit when fitting multi-trait TDM. Therefore, a multiple trait model would be more ideal in determining the genetic merit of dairy sires and bulls based on daily yield records. Genetic and phenotypic correlations between daily yield and lactation yields were high and positive. Genetic correlations ranged from 0.84 to 0.99, 0.94 to 1.00 and 0.94 to 0.97 in the first, second and third lactations, respectively. The corresponding phenotypic correlation estimates ranged from 0.50 to 0.85, 0.50 to 0.83 and 0.53 to 0.87. The high genetic correlation between daily yield and lactation yield imply that both traits are influenced by similar genes. Therefore daily yields records could be used in genetic evaluation in the Sahiwal cattle breeding programme.     

Soil bacterium Pseudomonas sp.: destroyer of mustard gas hydrolysis products

A bacterial culture capable of utilizing products of mustard gas hydrolysis as a source of carbon was isolated from soil. This culture was tolerant to organochlorine substances in the hydrolysate. The bacterium was identified as Pseudomonas sp. The bacterium utilizes the major product of mustard gas hydrolysis, thiodiglycol, through two pathways. One involves the oxidation of the primary alcoholic groups in thiodiglycol, yielding thiodiglycolic and thioglycolic acids. The cleavage of the C-S bonds in these acids gives rise to acetate, which is then used further in the cell metabolism. The other pathway involves the cleavage of the C-S bond in the thiodiglycol molecule, yielding beta-mercaptoethanol, which is transformed by Pseudomonas sp. into thioglycolic acid. The results show the promise of this bacterium for the bioremediation of mustard gas-contaminated soils.     

Combining data sharing with the master–worker paradigm in the common component architecture

Software component technologies are being accepted as an adequate solution for handling the complexity of applications. However, existing software component models tend to be specialized to some types of resource architectures (e.g. in-process, distributed environments, etc.) and/or do not provide a very high level of abstraction. This paper focuses on handling data sharing on operation invocations between components as a solution allowing applications to be efficiently executed on all kinds of resources. In particular, the data sharing pattern appears in master–worker applications, when workers need to access only a part of a large piece of data, either in read or write mode. This approach is applied to the Common Component Architecture model. Its benefits are discussed using an image rendering application.

Scales of association: hierarchical linear models and the measurement of ecological systems

A fundamental challenge to understanding patterns in ecological systems lies in employing methods that can analyse, test and draw inference from measured associations between variables across scales. Hierarchical linear models (HLM) use advanced estimation algorithms to measure regression relationships and variance–covariance parameters in hierarchically structured data. Although hierarchical models have occasionally been used in the analysis of ecological data, their full potential to describe scales of association, diagnose variance explained, and to partition uncertainty has not been employed. In this paper we argue that the use of the HLM framework can enable significantly improved inference about ecological processes across levels of organization. After briefly describing the principals behind HLM, we give two examples that demonstrate a protocol for building hierarchical models and answering questions about the relationships between variables at multiple scales. The first example employs maximum likelihood methods to construct a two-level linear model predicting herbivore damage to a perennial plant at the individual- and patch-scale; the second example uses Bayesian estimation techniques to develop a three-level logistic model of plant flowering probability across individual plants, microsites and populations. HLM model development and diagnostics illustrate the importance of incorporating scale when modelling associations in ecological systems and offer a sophisticated yet accessible method for studies of populations, communities and ecosystems. We suggest that a greater coupling of hierarchical study designs and hierarchical analysis will yield significant insights on how ecological processes operate across scales.     

Essential‐Oil Variability of Juniperus deltoides R.P.Adams along the East Adriatic Coast – How Many Chemotypes Are There?

The composition of the essential oils isolated from twigs of ten Juniperus deltoides R.P . Adams populations from the east Adriatic coast was determined by GC‐FID and GC/MS analyses. Altogether, 169 compounds were identified, representing 95.6–98.4% of the total oil composition. The oils were dominated by monoterpenes (average content of 61.6%), which are characteristic oil components of species of the Juniperus section. Two monoterpenes, α‐pinene and limonene, were the dominant constituents, comprising on average 46.78% of the essential oils. Statistical methods were deployed to determine the diversity of the terpene classes and the common terpenes between the investigated populations. These statistical analyses revealed the existence of three chemotypes within all populations, i.e., a α‐pinene, limonene, and limonene/α‐pinene type.     

Inhibitor‐based affinity probes for the investigation of JAK signaling pathways

The Janus Kinase (JAK) signaling pathway plays a key role for many cellular processes and has recently been correlated with neuronal disorders. In order to understand new links of JAK family members with other signaling pathways, chemical proteomics tools with broad kinase coverage are desirable. A probe that shows outstanding kinase selectivity and allows for the enrichment of up to 133 kinases including many mitogen activated kinase (MAPK) members and JAK kinases has been developed. Furthermore, this probe was applied to establish the selectivity profile of the JAK1/2 inhibitor momelotinib that is currently evaluated in clinical phase 3 studies. These results render this probe a valuable tool for the investigation of JAK and JAK related signaling pathways and the selectivity profiling of kinase inhibitors.     

白菜型油菜品种萌发期的抗旱性鉴定与筛选

秋旱影响我国长江流域油菜的播种和生长。从遗传基础广泛的白菜型油菜资源中筛选抗旱材料,对于培育抗旱油菜品种具有重要意义。以不同浓度的PEG-6000溶液于萌发期对5份不同遗传背景的白菜型油菜进行模拟干旱胁迫处理,并测定种子萌发抗旱指数、相对发芽率、相对发芽势、相对根长、相对芽长。与对照相比,干旱胁迫下各指标均有显著差异,对各指标进行主成分分析,确定了抗旱性鉴定参数,并确立了白菜型油菜资源抗旱性筛选的工作液为200 g/L的PEG-6000。选用该工作液于萌芽期对203份白菜型油菜资源进行了抗旱筛选,结果表明,模拟干旱胁迫下,大部分材料的抗旱性与对照有显著差异,用隶属函数法和聚类分析对抗旱性鉴定指标进行分析,并对所有供试材料的抗旱性进行了排序,鉴定出了抗旱性最强的PI226505白菜型油菜,其来源为Iran,为油菜下一步抗旱性遗传改良奠定了基础。     

茶树内生真菌CSN-4产漆酶培养基及培养条件研究

从茶树内生真菌筛选产漆酶的菌株,分析不同营养因素和培养条件对菌株漆酶酶活力的影响。采用6种显色底物的平板初筛和酶活测定的复筛方法,从15株茶树内生真菌菌株中筛选获得1株产漆酶酶活较高的菌株CSN 4。单因素分析结果显示,液态发酵条件下菌株CSN-4适宜的主要培养基成分是麸皮和蛋白胨;菌株CSN-4分别在麸皮30 g/L、蛋白胨2.5 g/L、CuSO₄·5H₂O 0.015 g/L和茶水6 g/L时发酵产漆酶酶活最高。发酵条件试验结果表明,菌株CSN-4分别在接种量为6个菌饼（直径6 mm）、装液量60 mL/250 mL、pH 4.8、摇床转速120 r/min,培养温度为28 ℃时产漆酶酶活较高。在培养基中添加麸皮和茶水对菌株CSN-4产漆酶有明显的促进作用。经过培养基成分及培养条件优化后,菌株CSN 4产漆酶酶活显著升高,达到2 417 U/L。     

4-Demethylwyosine Synthase from Pyrococcus abyssi Is a Radical-S-adenosyl-l-methionine Enzyme with an Additional [4Fe-4S]+2 Cluster That Interacts with the Pyruvate Co-substrate

Wybutosine and its derivatives are found in position 37 of tRNA encoding Phe in eukaryotes and archaea. They are believed to play a key role in the decoding function of the ribosome. The second step in the biosynthesis of wybutosine is catalyzed by TYW1 protein, which is a member of the well established class of metalloenzymes called “Radical-SAM.” These enzymes use a [4Fe-4S] cluster, chelated by three cysteines in a CX₃CX₂C motif, and S-adenosyl-l-methionine (SAM) to generate a 5′-deoxyadenosyl radical that initiates various chemically challenging reactions. Sequence analysis of TYW1 proteins revealed, in the N-terminal half of the enzyme beside the Radical-SAM cysteine triad, an additional highly conserved cysteine motif. In this study we show by combining analytical and spectroscopic methods including UV-visible absorption, Mössbauer, EPR, and HYSCORE spectroscopies that these additional cysteines are involved in the coordination of a second [4Fe-4S] cluster displaying a free coordination site that interacts with pyruvate, the second substrate of the reaction. The presence of two distinct iron-sulfur clusters on TYW1 is reminiscent of MiaB, another tRNA-modifying metalloenzyme whose active form was shown to bind two iron-sulfur clusters. A possible role for the second [4Fe-4S] cluster in the enzyme activity is discussed.