基于土地利用变化的贵州坝子土地利用功能演变研究

贵州省为典型喀斯特山区,强烈的人类活动主要分布在坝地地区,研究坝子土地利用功能演变对土地可持续利用具有重要价值。基于土地利用变化,根据三生功能理论构建土地利用功能分类体系,以贵州省1990年、2000年、2010年和2016年四期遥感影像为数据源,借助ArcGIS10.2软件平台构建土地利用功能转移矩阵和坝子功能冷热点分布图。研究表明:(1)贵州省坝子土地利用功能已由以传统农业生产功能为主转为以传统农业生产功能-农村居住生活功能为主,坝子土地利用由单一功能向多功能转变;(2)1990—2016年,坝子的功能类型增加10种类型,其中8类是复合类型,坝子功能向多样性转变;(3)单一功能与复合功能坝子比例变化曲线呈"X"型,到2016年,复合功能坝子比例大于单一功能坝子;(4)1990—2000年,坝子土地利用功能变化缓慢,2000年以后坝子土地利用功能变化强烈;(5)传统农业生产功能转移最为强烈,主要转移为城镇居住生活功能、农村居住生活功能、工业生产功能及与之相关的复合功能和自然生态功能;(6)各种功能类型坝子冷热点的空间分布变化复杂,从总体上看各功能的空间分布由集聚变为分散。     

库木塔格沙漠土壤细菌多样性及具有群体感应抑制活性放线菌筛选

【背景】群体感应抑制剂(quorum sensing inhibitor,QSI)作为抗生素潜在替代品,可有效降低致病菌传染性和毒性。沙漠土壤蕴藏着丰富的放线菌资源,是挖掘群体感应抑制剂的重要来源。【目的】解析库木塔格沙漠土壤细菌群落多样性,筛选并挖掘群体感应抑制活性放线菌资源。【方法】采用Illumina Nova Seq高通量测序技术揭示库木塔格沙漠土壤细菌群落组成,利用可培养方法进行土壤放线菌分离和鉴定;选用紫色杆菌CV026模型筛选群体感应抑制活性放线菌,并对其功能特性进行初步评价。【结果】Illumina Nova Seq高通量测序结果显示,样品土壤细菌涉及23门96目150属,优势菌门为变形菌门(Proteobacteria,61%)、放线菌门(Actinobacteria,28%),其中分枝杆菌属(Mycobacterium)为放线菌门最优势菌属(87.3%),其次为红球菌属(Rhodococcus,6.8%)和丙酸杆菌属(Cutibacterium,0.9%)。可培养方法共分离到108株放线菌,归属9科10属,其中优势菌属为链霉菌属(Streptomyces),占65....     

针茅内生细菌菌株265ZY4的鉴定及其生物学功能

【目的】为高寒草地针茅(Stipa capillata L.)内生细菌的开发和利用提供理论依据,为生物菌肥的研究提供有价值的菌种资源。【方法】利用常规分离方法从针茅中分离获得菌株265ZY4,采用平板对峙法、Salkowski比色法和钼锑抗比色法对该内生菌进行拮抗能力测定、产IAA以及溶磷、固氮能力测定。根据形态学和16S r RNA序列分析对菌株265ZY4进行鉴定,确定该菌株的分类学地位。【结果】菌株265ZY4对3种马铃薯真菌病害均有较好的抑制作用,且对马铃薯炭疽病(Colletotrichum coccodes)的拮抗作用最明显,抑菌率为83.03%;该菌株能分泌IAA,在不含色氨酸的培养基中的分泌量为9.30 mg/L,且有较好的溶解无机磷的能力,无固氮能力;通过培养性状和形态特征,结合16S r RNA序列分析,将菌株265ZY4鉴定为Bacillus subtilis。【结论】菌株265ZY4鉴定为枯草芽孢杆菌B.subtilis,具有溶磷、产IAA等生物学功能,具有开发潜力。     

环境微生物群落功能研究的新方法和新策略

微生物群落在驱动生物地球化学循环中扮演着重要角色,传统的研究方法可对微生物群落进行遗传结构的解析,但不能有效地与功能研究耦联.概述了近年发展起来的基于核酸和蛋白质水平的分子生物学新方法--环境mRNA 和 rRNA同时荧光原位杂交(FISH)、寡核苷酸微阵列技术(Oligonucleotide Microarray)、 稳定性同位素联合宏基因组学(SIP-enabled Metagenomics)和环境蛋白质组学(Metaproteomics)在环境微生物群落功能研究中的应用,并且对其发展趋势进行了分析和展望.     

Shapes and functions of species–area curves (II): a review of new models and parameterizations

This paper has extended and updated my earlier list and analysis of candidate models used in theoretical modelling and empirical examination of species–area relationships (SARs). I have also reviewed trivariate models that can be applied to include a second independent variable (in addition to area) and discussed extensively the justifications for fitting curves to SARs and the choice of model. There is also a summary of the characteristics of several new candidate models, especially extended power models, logarithmic models and parameterizations of the negative-exponential family and the logistic family. I have, moreover, examined the characteristics and shapes of trivariate linear, logarithmic and power models, including combination variables and interaction terms. The choice of models according to best fit may conflict with problems of non-normality or heteroscedasticity. The need to compare parameter estimates between data sets should also affect model choice. With few data points and large scatter, models with few parameters are often preferable. With narrow-scale windows, even inflexible models such as the power model and the logarithmic model may produce good fits, whereas with wider-scale windows where inflexible models do not fit well, more flexible models such as the second persistence (P2) model and the cumulative Weibull distribution may be preferable. When extrapolations and expected shapes are important, one should consider models with expected shapes, e.g. the power model for sample area curves and the P2 model for isolate curves. The choice of trivariate models poses special challenges, which one can more effectively evaluate by inspecting graphical plots.     

Physiological functions of Wilms’ tumor 1-associating protein and its role in tumourigenesis

The Wilms’ tumor-associated gene WT1 encodes a tumor suppressor gene, which is implicated in renal differentiation and development of adult urogenital system. Wilms’ tumor 1-associating protein (WTAP) is initially identified as a nuclear protein that specifically interacts with WT1 in both in vitro and in vivo assays. WTAP is ubiquitously expressed in different tissues and various growth periods, and its expression is involved in cell cycle, RNA splicing and stabilization, N6-methyladenosine RNA modification, cell proliferation, and apoptosis as well as embryonic development. In the present review, we aimed to summarize the functions of WTAP in various physiological and pathological processes, in particular with regard to the current knowledge about the role of WTAP in tumorigenesis of different cancers.     

Determination of material parameters of the two-dimensional Holzapfel–Weizsäcker type model based on uniaxial extension data of arterial walls

Soft tissues are anisotropic materials yet a majority of mechanical property tests have been uniaxial, which often failed to recapitulate the tensile response in other directions. This paper aims to study the feasibility of determining material parameters of anisotropic tissues by uniaxial extension with a minimal loss of anisotropic information. We assumed that by preselecting a certain constitutive model, we could give the constitutive parameters based on uniaxial extension data from orthogonal strip samples. In our study, the Holzapfel–Weizsäcker type strain energy density function (H–W model) was used to determine the material parameters of arterial walls from two fresh donation bodies. The key points we applied were the relationships between strain components in uniaxial tensile tests and the methods of stochastic optimisation. Further numerical experiments were taken. The estimate–effect ratio, defined by the number of data with the precision of estimation less than 0.5% over whole size of data, was calculated to demonstrate the feasibility of our method. The material parameters for Chinese aorta and pulmonary artery were given with the maximum root mean square (RMS) errors 0.042, and the minimal estimate–effect ratio in numerical experiments was 90.79%. Our results suggest that the constitutive parameters of arterial walls can be determined from uniaxial extension data, given the passive mechanical behaviour governed by H–W model. This method may apply to other tissues using different constitutive models.     

Optimization of the hydrolysis of lignocellulosic residues by using radial basis functions modeling and particle swarm optimization

The concentrations of glucose and total reducing sugars obtained by chemical hydrolysis of three different lignocellulosic feedstocks were maximized. Two response surface methodologies were applied to model the amount of sugars produced: (1) classical quadratic least-squares fit (QLS), and (2) artificial neural networks based on radial basis functions (RBF). The results obtained by applying RBF were more reliable and better statistical parameters were obtained. Depending on the type of biomass, different results were obtained. Improvements in fit between 35% and 55% were obtained when comparing the coefficients of determination (R²) computed for both QLS and RBF methods. Coupling the obtained RBF models with particle swarm optimization to calculate the global desirability function, allowed to perform multiple response optimization. The predicted optimal conditions were confirmed by carrying out independent experiments.