The dynamical way to mutation-selection balance of an infinite population evolving on a truncated fitness landscape

This paper presents the exact analytical solution, valid for all generations and initial conditions, for the frequency distribution of haploids with infinite-sites genome carrying a given number of mutations in a population evolving deterministically on a truncated fitness landscape. This landscape is a generalization of the single sharp peak one, widely used in quasispecies theory, although here there are no reverse mutations.     

Automated Protein NMR Structure Determination Using Wavelet De-noised NOESY Spectra

A major time-consuming step of protein NMR structure determination is the generation of reliable NOESY cross peak lists which usually requires a significant amount of manual interaction. Here we present a new algorithm for automated peak picking involving wavelet de-noised NOESY spectra in a process where the identification of peaks is coupled to automated structure determination. The core of this method is the generation of incremental peak lists by applying different wavelet de-noising procedures which yield peak lists of a different noise content. In combination with additional filters which probe the consistency of the peak lists, good convergence of the NOESY-based automated structure determination could be achieved. These algorithms were implemented in the context of the ARIA software for automated NOE assignment and structure determination and were validated for a polysulfide-sulfur transferase protein of known structure. The procedures presented here should be commonly applicable for efficient protein NMR structure determination and automated NMR peak picking. Electronic supplementary material Electronic supplementary material is available for this article at and accessible for authorised users.     

The responses of Moso bamboo (Phyllostachys heterocycla var. pubescens) forest aboveground biomass to Landsat TM spectral reflectance and NDVI

Bamboo is a special forest type in subtropical regions of china. Its huge biomass and carbon storage and its ecological function play an important role in global carbon sink. In this paper, Moso bamboo (Phyllostachys heterocycla var. pubescens) forest in Anji county, Zhejiang province, China was selected to examine the relationships between Landsat Thematic Mapper (TM) data, and aboveground biomass (AGB, Kg), This research indicates that (1) near infrared (TM4) and mid-infrared bands (TM5,TM7) are more important in explaining Moso bamboo AGB than the visible bands. In particular, TM band5 has higher path coefficient with AGB than any other TM bands, implying its important role in explaining Moso bamboo AGB; (2) the Normalized Difference Vegetation Index (NDVI) has weak correlation with Moso bamboo AGB, however, other vegetable indices such as Perpendicular Vegetation Index (PVI), Enhanced Vegetation Index(EVI), and Soil Adjust Vegetation Index (SAVI) which are related to soil adjustment parameters are significantly correlated with Moso bamboo AGB; (3) the new vegetation index developed in this paper is significantly correlated with Moso bamboo AGB (correlation coefficient is 0.48), and has higher correlation coefficient (R) than any other selected vegetation indices, implying that this new vegetation index can better explain Moso bamboo AGB than any other vegetation indices.     

Extraction of features from ultrasound acoustic emissions: a tool to assess the hydraulic vulnerability of Norway spruce trunkwood?

The aim of this study was to assess the hydraulic vulnerability of Norway spruce (Picea abies) trunkwood by extraction of selected features of acoustic emissions (AEs) detected during dehydration of standard size samples. The hydraulic method was used as the reference method to assess the hydraulic vulnerability of trunkwood of different cambial ages. Vulnerability curves were constructed by plotting the percentage loss of conductivity vs an overpressure of compressed air. Differences in hydraulic vulnerability were very pronounced between juvenile and mature wood samples; therefore, useful AE features, such as peak amplitude, duration and relative energy, could be filtered out. The AE rates of signals clustered by amplitude and duration ranges and the AE energies differed greatly between juvenile and mature wood at identical relative water losses. Vulnerability curves could be constructed by relating the cumulated amount of relative AE energy to the relative loss of water and to xylem tension. AE testing in combination with feature extraction offers a readily automated and easy to use alternative to the hydraulic method.     

榆木蠹蛾生物学特性观察

结合田间观察和室内试验,对榆木蠹蛾HolcocerusvicariusWalker的生物学特性进行了较为系统的研究。结果表明,榆木蠹蛾在宁夏3年发生1代,幼虫主要危害枝干和根颈部,幼虫在蛀道内越冬,5月下旬老熟幼虫在被害树周围5—10cm深的沙土内分散化蛹,蛹期（21±5）d。6月初成虫开始出现,有2个羽化高峰,分别为6月中旬和7月下旬,成虫羽化当晚即可交尾,交尾当天或第2天产卵,每雌蛾产卵最多达720粒,卵期（17±5）d,孵化率为72％～88％。未交尾雌雄成虫寿命为5—6d,交尾后雌雄成虫寿命缩短为3—5d。初孵幼虫于6月中旬始见,10月下旬幼虫开始越冬。幼虫孵化后,先危害韧皮部,常10多条聚集在一起,稍大一点即蛀入木质部。本研究为制定切实可行的榆木蠹蛾有效防治提供理论依据。     

宁夏灵武市沟眶象发生特点

系统调查沟眶象Eucryptorrhynchus chinensis(Olivier)在宁夏灵武市的发生情况和特点发现:沟眶象以成虫和幼虫在土壤中越冬,成虫有2个发生高峰期,越冬结束后以成虫越冬的沟眶象出土出现第1个高峰期,以幼虫越冬的沟眶象经化蛹羽化出土出现第2个高峰期;幼虫危害臭椿根部形成的瘤状物可以作为鉴别沟眶象危害的特征;沟眶象幼虫在土壤中垂直分布范围集中在0～45 cm深土层,约占80%;成虫出土孔集中在距臭椿树干基部75 cm范围内,占88%。据此建议土壤施药化学防治沟眶象时,施药深度不宜低于45 cm,施药点距树干基部水平距离不得少于75 cm,且树周各个方向均需施药。每年10月末沟眶象开始"入土"、翌年4月末开始"出土",在沟眶象"入土"结束后但未冻土之前的11中旬和土壤解冻之后但尚未"出土"前的4月中旬,这两个时期土壤施药防治效果较好;防治沟眶象的同时,还应适时采取打孔注药、熏蒸等措施防治臭椿(Ailanthus altissima(Mill.)Swingle)树干内的臭椿沟眶象Eucryptorrhynchus brandti(Harold)。     

FTIR spectro-imaging of collagens for characterization and grading of gliomas

Collagens are a family of at least 30 protein types organized as networks. They constitute the main support material of cells under the form of extracellular matrix as well as for membranes in vessels, organs, and tissue compartments. Collagen network abnormalities are at the origin of many diseases, including myopathies and fibroses. The characterization of collagens remains an analytical challenge due to the insolubility of these molecules and the difficulty encountered in isolating given types without altering their structure or in maintaining network organization, which is critical to diagnosing related pathologies. We have proposed using a vibrational spectroscopy based imaging technique, namely Fourier-transform infrared (FTIR) imaging, for a spatially-resolved analysis of secondary structure of different collagen types in complex samples, and more specifically for characterizing gliomas. With newly developed spectral data treatments and chemometrics using secondary structure parameters of collagen proteins, FTIR imaging is now able to distinguish between several types. On this basis, gliomas have been investigated as specific collagen-rich tissues developing in a non-collagenous environment, providing high specificity to this FTIR imaging utilization. Here, we review the recent advances in this imaging approach for understanding glioma development, with FTIR imaging now being proposed as a molecular histopathology tool for clinicians.     

Satellite surface reflectance improves habitat distribution mapping: a case study on heath and shrub formations in the Cantabrian Mountains (NW Spain)

Aim We aim to map the distribution of four heath and shrub formations constituting habitats of high conservation priority in Europe, whose occurrence is strongly dependent on human activities. Specifically, we assess whether the use of LANDSAT data in habitat distribution modelling may account for land use management, allowing accurate mapping of real distribution patterns. In particular, we explore whether reflectance values may be a better alternative to other remote sensing data traditionally used in modelling approaches (i.e. spectral vegetation indices and classified land cover maps). Finally, we test whether modelling performance is affected by the ecological traits of the dominant species of the target formations. Location Cantabrian Mountains (NW Spain). Methods We generated maps for the four formations (two specialists vs. two generalists) using MaxEnt. First, we ran the models with environmental predictors only (topography, climate, lithology and human disturbances). Then, we compared the advantages of including, in turn, different data derived from LANDSAT imagery: reflectance values (corresponding to different wavelength channels of the multispectral image), a spectral index and a land cover map. We assessed changes in explanatory power and also in the formation’s predicted distribution patterns. Results Formations dominated by specialist species were accurately mapped on a base of environmental variables only, whereas those dominated by generalists were overpredicted. Average mean temperature, southness and distance to urban areas were the variables contributing most in predictions of environmental models. LANDSAT channels increased the accuracy of all models, but mainly those for formations dominated by generalist species. They showed advantages against other remote sensing data traditionally used in modelling approaches. Main conclusions Habitat distribution models allowed accurate mapping of heath and shrub formations. The use of reflectance values as predictors improved the accuracy of the models, particularly for formations dominated by generalist species, supplying environmental information that was otherwise unavailable.     

陕西杨凌地区黑光灯下金龟甲种类组成及优势种群发生动态

2011年5～9月,在陕西省杨凌区西北农林科技大学植物保护学院试验站设置黑光灯,系统诱集金龟甲并鉴定种类,分析金龟甲种群的发生动态。结果表明,陕西杨凌地区黑光灯可诱到金龟甲3科17种,从5月上旬至9月上旬均可发生,以6月下旬至7月中旬为发生盛期;优势种类为铜绿丽金龟、赤绒鳃金龟、华北大黑鳃金龟和暗黑鳃金龟,发生盛期分别为6月下旬至7月下旬、7月下旬至8月上旬、7月上旬和6月下旬至7月下旬。