用于药物评价的体外心脏组织模型研究进展

候选药物对心脏的毒副作用是其在开发过程中被淘汰的重要原因之一.传统药物评价所采用的动物模型存在种属差异、成本高、效率低等缺陷.因此,近年来随着干细胞和生物打印等技术的快速发展,体外心脏组织模型的构建受到了越来越多地关注.本文追踪体外心脏模型构建的起源与发展,综述模型所利用的心肌细胞来源以及二维、三维模型构建的相关技术与方法,着重阐述心肌组织模型血管化的重要性及研究进展,并对该领域未来的发展方向进行展望,以期为体外心肌组织模型在药物评价方面的研究和应用提供新思路.     

草莓种苗壮苗指数模型的构建与质量评价

随着我国草莓栽培面积逐年增加,草莓种苗需求量越来越大,为了确保种苗育苗质量,亟需开展壮苗评价的研究。本研究以生长40 d的‘红颜’穴盘苗为对象,在测定地上部和地下部生长、鲜重、干重等16项指标的基础上,分别构建单项指标隶属函数,使用加权模糊评判法计算种苗综合评价指数;利用主成分分析筛选的关键指标组成多个壮苗指数模型,与种苗综合评价指数进行相关性分析后,确定最佳草莓壮苗指数模型并进行验证。结果表明: 随机选取的320株草莓种苗16项指标存在显著差异,综合评价指数为0.165～0.817,可作为壮苗指数模型构建和种苗质量评价的依据。主成分分析将16项指标划分为地上部相关指标、地下部相关指标和色素指标3个主成分,累计贡献率达到79.7%;从每个主成分中选择贡献值最大的3个指标随机组成27种壮苗指数模型,通过相关性分析筛选出与综合评价指数相关性最大的5个壮苗指数模型,其中“地上干重×根系表面积×叶绿素a”的相关性最高,用‘红颜’、‘香野’和‘甜查理’种苗验证相关系数均最大,分别为0.879、0.924和0.975,确定可作为草莓壮苗指数计算模型。以综合评价指数为种苗质量分级依据,可将种苗健壮程度分为3个等级:等级Ⅰ(综合评价指数≥0.5,壮苗指数≥4.0)为优质苗,等级Ⅱ(综合评价指数0.3～0.5,壮苗指数0.5～4.0)为合格苗,等级Ⅲ(综合评价指数≤0.3,壮苗指数≤0.5)为弱苗。研究结果可为草莓或其他种苗壮苗指数计算和种苗健壮程度评价提供理论依据与科学方法。     

Multifaceted roles of duckweed in aquatic phytoremediation and bioproducts synthesis

Duckweed (Lemnaceae) is a fast‐growing aquatic vascular plant. It has drawn an increasing attention worldwide due to its application in value‐added nutritional products and in sewage disposal. In particular, duckweed is a promising feedstock for bioenergy production. In this review, we summarized applications of duckweed from the following four aspects. Firstly, duckweed could utilize nitrogen, phosphorus, and inorganic nutrition in wastewater and reduces water eutrophication efficiently. During these processes, microorganisms play an important role in promoting duckweed growth and improving its tolerance to stresses. We also introduced our pilot‐scale test using duckweed for wastewater treatment and biomass production simultaneously. Secondly, its capability of fast accumulation of large amounts of starch makes duckweed a promising bioenergy feedstock, catering the currently increasing demand for bioethanol production. Pretreatment conditions prior to fermentation can be optimized to improve the conversion efficiency from starch to bioethanol. Furthermore, duckweed serves as an ideal source for food supply or animal feed because the composition of amino acids in duckweed is similar to that of whey protein, which is easily digested and assimilated by human and other animals. Finally, severing as a natural plant factory, duckweed has shown great potential in the production of pharmaceuticals and dietary supplements. With the surge of omics data and the development of Clustered Regularly Interspaced Short Palindromic Repeats technology, remodeling of the metabolic pathway in duckweed for synthetic biology study will be attainable in the future.     

国家公园陆地自然生态系统完整性与原真性评价方法探索: 以钱江源国家公园体制试点为例

中国建立国家公园的目的是保护自然生态系统的完整性和原真性, 促进生物多样性保护。国家公园的完整性和原真性评价是国家公园的布局规划、边界范围确定以及功能区划等研究的前提条件。为了评估国家公园自然生态系统完整性和原真性状态, 本文基于陆地自然生态系统的结构和功能, 通过指标筛选、专家咨询、指标量化和建立综合评价模型, 构建了陆地自然生态系统完整性与原真性的评价指标体系及其量化评价方法。该评价方法包括5个自然生态系统完整性指标、5个自然生态系统原真性指标和2个综合评价指标。以浙江省钱江源国家公园体制试点为例, 本文初步评估了其生态系统完整性与原真性状态, 并对评价结果进行了分级。按照本研究的评价方法, 钱江源国家公园体制试点的自然生态系统完整性评价结果为52.83%, 评价等级为较差; 自然生态系统原真性评价结果为87.06%, 评价等级为好。钱江源国家公园体制试点有待关注和提升的指标有保护区域完整性指数(27.00%)和旗舰种适宜生境完整性指数(53.04%)。最后, 本文结合研究区域评价结果对生态系统完整性和原真性领域应关注的问题进行了讨论。该自然生态系统完整性和原真性评价方法可提供一种评价指标覆盖较全面、数据易获取, 且评价结果易被决策者和管理者理解的评价思路。     

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。     

An analytical study of the factors that influence COVID-19 spread

The outbreak of the coronavirus disease 2019 (COVID-19) continues to constitute an international public health emergency. Seasonality is a long-recognized attribute of many viral infections of humans. Nevertheless, the relationship between environmental factors and the spread of infection, particularly for person-to-person communicable diseases, remains poorly understood. This study explores the relationship between environmental factors and the incidence of COVID-19 in 188 countries with reported COVID-19 cases as of April 13, 2020. Here we show that COVID-19 growth rates peaked in temperate zones in the Northern Hemisphere during the outbreak period, while they were lower in tropical zones. The relationships between COVID-19 and environmental factors were resistant to the potentially confounding effects of air pollution, sea level, and population. To prove the effect of those factors, study, and analysis of the prevalence of COVID-19 in Italy, Spain, and China was undertaken. A fuzzy logic system was designed to predict the effects of that variables on the rate of viral spread of COVID-19.     

常压室温等离子体诱变选育花脸香蘑新菌株

花脸香蘑作为一种营养丰富、菇型美观的珍稀食用菌,具有良好的开发利用价值。利用常压室温等离子体（ARTP）技术对野生花脸香蘑菌株610双核菌丝片段进行了诱变处理。利用拮抗试验进行了诱变菌株初筛。通过连续传代培养,自然淘汰劣势菌株并获得诱变效应稳定的48个菌株。综合平板培养和基于ISSR和SSR联合遗传多样性分析的结果,筛选出7个诱变菌株与出发菌株共同进行出菇比较试验。出菇试验及子实体蛋白和氨基酸营养分析的结果显示：诱变菌株Ls2和Ls3为筛选出的花脸香蘑优质高产新菌株。诱变菌株较出发菌株生物学效率分别提高10.27%和14.75%,总氨基酸含量、必需氨基酸含量以及氨基酸评分等指标也均显著高于出发菌株,品质提升效果极显著。     

Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining

Background: Breast cancer, a type of malignant tumor, affects women more than men. About one third of women with breast cancer die of this disease. Hence, it is imperative to find a tool for the proper identification and early treatment of breast cancer. Unlike the conventional data mining algorithms, fuzzy logic based approaches help in the mining of association rules from quantitative transactions.Methods: In this study a novel fuzzy methodology IFFP (Improved Fuzzy Frequent Pattern Mining), based on a fuzzy association rule mining for biological knowledge extraction, is introduced to analyze the dataset in order to find the core factors that cause breast cancer. This method consists of two phases. During the first phase, fuzzy frequent itemsets are mined using the proposed algorithm IFFP. Fuzzy association rules are formed during the second phase, indicating whether a person belongs to benign or malignant. This algorithm is applied on WBCD (Wisconsin Breast Cancer Database) to detect the presence of breast cancer.Results: It is determined that the factor, Mitoses has low range of values on both malignant and benign and hence it does not contribute to the detection of breast cancer. On the other hand, the high range of Bare Nuclei shows more chances for the presence of breast cancer.Conclusion: Experimental evaluations on real datasets show that our proposed method outperforms recently proposed state-of-the-art algorithms in terms of runtime and memory usage.     

转基因耐除草剂大豆的食用安全评价研究进展

转基因大豆是目前种植最广泛的转基因作物之一,其中具有耐除草剂特性的转基因大豆占比最高。公众对转基因食品一直争议不断,因此,其批准商业化种植前的食用安全性评价显得尤为重要。已有研究显示,转基因耐除草剂大豆已经商业化种植了二十多年,迄今为止还没有观察到任何不良反应。目前已经批准的转基因耐除草剂大豆均进行了严格的毒理学评价、过敏性评价和营养学评价,经过严格评价后上市的转基因大豆可以放心食用。综述了转基因耐除草剂大豆的主要类型,分析了可能存在的安全性问题,对转基因耐除草剂大豆的食用安全性评价方法进行了总结,以期为后续相关转基因食品安全性评价工作的开展提供借鉴。     

全球外来入侵生物与植物有害生物数据库的比较评价

【目的】为了明确全球生物安全与植物保护领域内数据库建设进展和我国数据库的建设成效,对全球重要的外来入侵生物与植物有害生物数据库进行分类介绍和比较评价研究。【方法】根据数据库收录物种的地理范围、类群及数据库特色功能,对数据库进行分类。对重要数据库的主要功能进行简要介绍,设立多指标评价体系将我国数据库与国际优质数据库进行比较,分析我国数据库亟待提升的关键功能。【结果】数据库分类研究将其划分为全球型、区域型、国家型、地区型、特定生物类群型等类别。数据库比较评价研究说明我国现有的数据库在支撑我国外来入侵生物检测监测和进出境植物检疫执法等方面起到了重要作用,但与世界一流数据库相比仍存在一定差距,其主要体现在数据质量有待提升、对现有数据挖掘不足、科普功能较弱等方面。【结论】建议各部门以更大力度支持我国相关数据库的建设、长期维护、优化整合与国际推广工作。建议完善国内现有数据库的数据和功能,提高其实用性和易用性,为相关科研工作提供有力支撑,并为科学普及、公众参与和公众科学的发展创造有利条件。