转基因植物环境安全评价策略

构建完善的转基因植物环境安全评价技术体系是保障转基因生物产业健康发展的重要组成部分。本文综述了转基因植物环境安全评价技术发展历程与趋势,归纳了转基因植物环境安全评价的思路与内容。转基因植物环境安全评价应分为潜在风险分析、风险假设验证、风险特征描述等3个步骤,并采用逐层评价模式;安全评价应贯穿转基因植物新品种研发与产业化全程,包括应用前预测、研发中筛选、推广前评价、推广后监测。此外,基于科学性和个案分析原则,本文对复合性状、非生物胁迫抗性等新型转基因植物环境安全评价策略进行了探讨。     

五种食用菌氨基酸含量的测定及营养评价

研究测定了五种食用菌中氨基酸的含量,并利用五种非生物学指标对蛋白质的营养价值进行评价。五种食用菌氨基酸种类齐全,必需氨基酸占氨基酸总量的百分比分别达到45.94%、37.62%、42.45%、41.54%、35.98%。茶树菇和姬松茸的限制性氨基酸为半胱氨酸和甲硫氨酸,鸡腿菇、香菇和黑木耳的限制性氨基酸是缬氨酸。不同的评价指标对蛋白质进行营养评价,评价结果会有所差异。     

Determination of inflection points of CyberKnife dose profiles within acceptability criteria of deviations in measurements

AimThe aim of this study was to determine the Inflection Points (IPs) of flattening filter free (FFF) CyberKnife dose profiles for cone-based streotactic radiotherapy. In addition, dosimetric field sizes were determined.BackgroundThe increased need for treatment in the early stages of cancer necessitated the treatment of smaller tumors. However, efforts in that direction required the modeling accuracy of the beam. Removal of the flattening filter (FF) from the path of x-ray beam has provided the solution to those efforts, but required a different normalization approach for the beam to ensure the delivery of the dose accurately. As a solution, researchers proposed a normalization factor based on IPs.Materials and methodsMeasurements using microDiamond (PTW 60019), Diode SRS (PTW 60018) and Monte Carlo (MC) calculations of dose profiles were completed at SAD 80 cm and 5 cm depth for 15–60 mm cones. Performance analysis of detectors with respect to MC calculation was carried out. Gamma evaluation method was used to determine achievable acceptability criteria for FFF CyberKnife beams.ResultsAcceptability within (3%–0.5 mm) was found to be anachievable criterion for all dose profile measurements of the cone beams used in this study. To determine the IP, the first and second derivatives of the dose profile were determined via the cubic spline interpolation technique.ConclusionDerivatives of the interpolated profiles showed that locations of IPs and 50% isodose points coincide.     

Science in Risk Assessment and Policy (SciRAP): An Online Resource for Evaluating and Reporting In Vivo (Eco)Toxicity Studies

(Eco)toxicity studies conducted according to internationally standardized test guidelines are often considered reliable by default and preferred as key evidence in regulatory risk assessment. At the same time regulatory agencies emphasize the use of all relevant (eco)toxicity data in the risk assessment process, including non-standard studies. However, there is a need to facilitate the use of such studies in regulatory risk assessment. Therefore, we propose a framework that facilitates a systematic and transparent evaluation of the reliability and relevance of (eco)toxicity in vivo studies for health and environmental risk assessment. The framework includes specific criteria to guide study evaluation, as well as a color-coding tool developed to aid the application of these criteria. In addition we provide guidance intended for researchers on how to report non-standard studies to ensure that they meet regulatory requirements. The intention of the evaluating and reporting criteria is to increase the usability of all relevant data that may fill information gaps in chemical risk assessments. The framework is publically available online, free of charge, at the Science in Risk Assessment and Policy (SciRAP) website: www.scirap.org. The aim of this article is to present the framework and resources available at the SciRAP website.     

甘蓝型油菜与蔊菜属间杂种后代的苗期耐湿性综合评价

以生产上应用的耐湿性存在差异的3个甘蓝型油菜品种为对照,采用盆栽模拟湿害胁迫的方法,对15份源自甘蓝型油菜与蔊菜属间杂交获得的遗传稳定的创新种质进行苗期耐湿性鉴定和综合评价。结果显示:(1)湿害抑制根系生长,导致植株变矮,叶片发黄,生物量降低,湿害对根系影响最为严重,其次是植株总生物量积累和地上部分的生长。(2)通过主成分分析和隶属函数法,将全展叶数、绿叶率、苗高、根长、地上部分鲜重、根鲜重、植株总鲜重、地上部分干重、根干重和植株总干重等10个性状指标值转化成单一的综合评价值(D值),客观、科学、准确地对参试的18份材料进行了综合评价,为甘蓝型油菜苗期耐湿性评价提供了方法参考。(3)15份创新种质除绿叶率外的9个测定指标的耐湿性系数均高于对照品种,耐湿性综合评价结果显示,15份创新种质的D值均高于渝黄2号,13份创新种质的D值高于综合抗耐性俱佳的中油821,3份创新种质的D值高于高耐湿品种中双9号,聚类得到的高耐湿类群的7份材料中创新种质占6份(85.71%)。可见,创新种质的耐湿性平均要优于对照品种,说明通过远缘杂交获得的创新种质对甘蓝型油菜的耐湿性有了较为明显的改良和提高。     

生物多样性相关传统知识调查与评估: 以澜沧与康定两县域为例

本研究依据《县域生物多样性相关传统知识调查与评估技术规定》, 调查评估了云南省澜沧县和四川省康定市两县域生物多样性相关传统知识的分布数量与特征, 分析了传统知识保护与传承状况, 识别了主要受威胁因素和保护空缺, 旨在为我国传统知识保护和民族地区实施传统知识获取与惠益分享制度提供科学依据, 推动《生物多样性公约》与《名古屋议定书》等国际公约的履行。研究结果如下: 分别调查编目澜沧县、康定市的生物多样性相关传统知识145项、98项; 这些传统知识具有明显的地区气候与自然环境特征、生产生活实践特征、传统文化特征和地区社会经济特征; 相关部门在传统知识保护管理方面做出了积极努力, 同时包括习惯法、传统节庆等传统文化和包括祭祀、神山、神林等宗教方式在内的地方社区行动在传统知识保护与传承方面也发挥了重要作用; 生物多样性相关传统知识、创新和做法已被广泛应用于地方社区脱贫攻坚和产业发展; 传统知识保护立法仍不健全、受到威胁、保护意识薄弱及承载传统知识的生物资源减少是制约传统知识保护传承的主要因素。两县域生物多样性相关传统知识丰富, 并且地方社区有效参与了生物多样性相关传统知识的保护与可持续利用。今后应建立传统知识获取与惠益分享国家制度; 加强宣传教育, 提升保护传承意识; 因地制宜开展传统知识保护; 推动传统知识相关生物资源的保护与可持续利用。     

Modeling and analysis of soybean (Glycine max. L) Cu/Zn,Mn and Fe superoxide dismutases

Superoxide dismutase (SOD, EC 1.15.1.1) is an important metal-containing antioxidant enzyme that provides the first line of defense against toxic superoxide radicals by catalyzing their dismutation to oxygen and hydrogen peroxide. SOD is classified into four metalloprotein isoforms, namely, Cu/Zn SOD, Mn SOD, Ni SOD and Fe SOD. The structural models of soybean SOD isoforms have not yet been solved. In this study, we describe structural models for soybean Cu/Zn SOD, Mn SOD and Fe SOD and provide insights into the molecular function of this metal-binding enzyme in improving tolerance to oxidative stress in plants.     

Temperature and prey quality effects on growth of juvenile walleye pollock Theragra chalcogramma (Pallas): a spatially explicit bioenergetics approach

A bioenergetics model for juvenile age‐0 year walleye pollock Theragra chalcogramma was applied to a spatially distinct grid of samples in the western Gulf of Alaska to investigate the influence of temperature and prey quality on size‐specific growth. Daily growth estimates for 50, 70 and 90 mm standard length (L_S) walleye pollock during September 2000 were generated using the bioenergetics model with a fixed ration size. Similarities in independent estimates of prey consumption generated from the bioenergetics model and a gastric evacuation model corroborated the performance of the bioenergetics model, concordance correlation (r_c) = 0·945, lower 95% CL (transformed) (L₁) = 0·834, upper 95% CL (transformed) (L₂) = 0·982, P < 0·001. A mean squared error analysis (M_SE) was also used to partition the sources of error between both model estimates of consumption into a mean component (M_C), slope component (S_C), and random component (R_C). Differences between estimates of daily consumption were largely due to differences in the means of estimates (M_C= 0·45) and random sources (R_C= 0·49) of error, and not differences in slopes (S_C= 0·06). Similarly, daily growth estimates of 0·031–0·167 g day^?1 generated from the bioenergetics model was within the range of growth estimates of 0·026–0·190 g day^?1 obtained from otolith analysis of juvenile walleye pollock. Temperature and prey quality alone accounted for 66% of the observed variation between bioenergetics and otolith growth estimates across all sizes of juvenile walleye pollock. These results suggest that the bioenergetics model for juvenile walleye pollock is a useful tool for evaluating the influence of spatially variable habitat conditions on the growth potential of juvenile walleye pollock.     

Testing the responses of four wheat crop models to heat stress at anthesis and grain filling

Higher temperatures caused by future climate change will bring more frequent heat stress events and pose an increasing risk to global wheat production. Crop models have been widely used to simulate future crop productivity but are rarely tested with observed heat stress experimental datasets. Four wheat models (DSSAT‐CERES‐Wheat, DSSAT‐Nwheat, APSIM‐Wheat, and WheatGrow) were evaluated with 4 years of environment‐controlled phytotron experimental datasets with two wheat cultivars under heat stress at anthesis and grain filling stages. Heat stress at anthesis reduced observed grain numbers per unit area and individual grain size, while heat stress during grain filling mainly decreased the size of the individual grains. The observed impact of heat stress on grain filling duration, total aboveground biomass, grain yield, and grain protein concentration (GPC) varied depending on cultivar and accumulated heat stress. For every unit increase of heat degree days (HDD, degree days over 30 °C), grain filling duration was reduced by 0.30–0.60%, total aboveground biomass was reduced by 0.37–0.43%, and grain yield was reduced by 1.0–1.6%, but GPC was increased by 0.50% for cv Yangmai16 and 0.80% for cv Xumai30. The tested crop simulation models could reproduce some of the observed reductions in grain filling duration, final total aboveground biomass, and grain yield, as well as the observed increase in GPC due to heat stress. Most of the crop models tended to reproduce heat stress impacts better during grain filling than at anthesis. Some of the tested models require improvements in the response to heat stress during grain filling, but all models need improvements in simulating heat stress effects on grain set during anthesis. The observed significant genetic variability in the response of wheat to heat stress needs to be considered through cultivar parameters in future simulation studies.