生物学理科基地微生物学课程互动式教学

本文介绍了我校生物学理科基地"微生物生物学"和"真菌分类学"两门专业课程采用的互动式教学方法与实践结果。几年的实践证明,课外科研讲座、撰写课程论文、开放式考试模式等教学方式不仅有效地提高了学生的学习兴趣,同时训练了学生的微生物学实验技能。     

甘肃甘南藏族自治州生态环境现状与恢复对策

甘南藏族自治州生态环境状况,对于保障黄河、长江中下游地区生态安全具有重要作用。受多种因素影响,该地区生态环境受到严重破坏。在资料查阅、实地考察与访谈的基础上,阐述了甘南藏族自治州生态环境的现状,分析了产生这种现状的原因,最后提出了重建对策。     

Injected mitotic extracts induce condensation of interphase chromatin

Although extracts from mitotic cells have been shown to induce chromosome condensation when injected into amphibian oocytes, they have not as yet been shown to induce this response in somatic interphase cells. In the experiments reported here, when mitotic extracts were injected into syncytial frog embryos, whose somatic nuclei were arrested in interphase, chromosome condensation was observed. The inability of interphase extracts, injected at similar concentrations, to induce this event demonstrates the cell cycle-specific accumulation of the factors responsible.     

三维技术对安徽白鹭洲战国墓M566墓主容貌的复原

2011年安徽白鹭洲发现战国时期保存完整的楚国贵族墓葬,因墓主人头发和发簪保存完好、墓主身份显赫而备受关注。该头骨保存完整,具有亚洲蒙古人种的特征,根据骨骼的形态推测其为女性,年龄为35-39岁。为展现该地区战国贵族妇女的容貌、丰富该地区考古多样性提供研究材料。本文首先使用高分辨率CT对该个体的头骨及下颌骨进行了扫描和重建,然后采用基于偏最小二乘回归的颅面复原方法实现生前容貌基本形态的复原。最后,结合考古资料,利用三维模型处理软件对面貌复原模型及其发饰进行了三维建模和纹理贴图等处理,提高了颅面复原模型的真实感,生动形象地再现战国贵族女性面部的形态特征。     

云南德宏傣族传统村落植物景观及应用研究

传统村落的植物景观反应了一个民族在长期实践中积累的植物认知和应用经验,该研究对云南省德宏州大盈江、瑞丽江流域的19个傣族传统村落进行了植物景观及应用调查。结果表明:德宏傣族传统村落植物景观水平分布为寨外(山林绿块+农田绿块+护堤绿带)——寨边(防护绿环+高山榕绿块)——寨内(绿点+绿线)的格局;垂直分布有5个景观层次;村寨内常见植物共181种,73科;村寨内植物多为人工栽培,具较强实用性,主要应用功能集中在食用、药用、观赏、防护隔离、香薰调味等方面;傣寨植物人文景观具宗教色彩。建议加强植物水平分布的空间联系,建立稳定的绿地系统格局;保持植物垂直景观层次,推广植物的建造功能应用;充分利用植物资源,形成产业优势;传承优秀的植物文化景观。推广植物在村落建设中的传统应用经验,促进民族村落与植物的可持续保护与发展,为德宏傣族人居环境建设与民族植物学应用提供科学依据。     

Status,trends, and equilibrium abundance estimates of the translocated sea otter population in Washington State

Sea otters (Enhydra lutris kenyoni) historically occurred in Washington State, USA, until their local extinction in the early 1900s as a result of the maritime fur trade. Following their extirpation, 59 sea otters were translocated from Amchitka Island, Alaska, USA, to the coast of Washington, with 29 released at Point Grenville in 1969 and 30 released at La Push in 1970. The Washington Department of Fish and Wildlife has outlined 2 main objectives for sea otter recovery: a target population level and a target geographic distribution. Recovery criteria are based on estimates of population abundance, equilibrium abundance (K), and geographic distribution; therefore, estimates of these parameters have important management implications. We compiled available survey data for sea otters in Washington State since their translocation (1977–2019) and fit a Bayesian state-space model to estimate past and current abundance, and equilibrium abundance at multiple spatial scales. We then used forward projections of population dynamics to explore potential scenarios of range recolonization and as the basis of a sensitivity analysis to evaluate the relative influence of movement behavior, frontal wave speed, intrinsic growth, and equilibrium density on future population recovery potential. Our model improves upon previous analyses of sea otter population dynamics in Washington by partitioning and quantifying sources of estimation error to estimate population dynamics, by providing robust estimates of K, and by simulating long-term population growth and range expansion under a range of realistic parameter values. Our model resulted in predictions of population abundance that closely matched observed counts. At the range-wide scale, the population size in our model increased from an average of 21 independent sea otters (95% CI = 13–29) in 1977 to 2,336 independent sea otters (95% CI = 1,467–3,359) in 2019. The average estimated annual growth rate was 12.42% and varied at a sub-regional scale from 6.42–14.92%. The overall estimated mean K density of sea otters in Washington was 1.71 ± 0.90 (SD) independent sea otters/km² of habitat (1.96 ± 1.04 sea otters/km², including pups), and estimated densities within the current range correspond on average to 87% of mean sub-regional equilibrium values (range = 66–111%). The projected value of K for all of Washington was 5,287 independent sea otters (95% CI = 2,488–8,086) and 6,080 sea otters including pups (95% CI = 2,861–9,300), assuming a similar range of equilibrium densities in currently un-occupied habitats. Sensitivity analysis of simulations of sea otter population growth and range expansion suggested that mean K density estimates in currently occupied sub-regions had the largest impact on predicted future population growth (r² = 0.52), followed by the rate of southward range expansion (r² = 0.26) and the mean K density estimate of currently unoccupied sub-regions to the south of the current range (r² = 0.04). Our estimates of abundance and sensitivity analysis of simulations of future population abundance and geographic range help determine population status in relation to population recovery targets and identify the most influential parameters affecting future population growth and range expansion for sea otters in Washington State.     

Mechanism of the light-state transition in photosynthesis: V. 77 K linear dichroism of Anacystis nidulans in State 1 and State 2

Linear-dichroism spectra of Anacystis nidulans at 77 K were determined for whole cells chemically fixed in light State 1 and light State 2. Whole cells were oriented by the squeezed gel technique using 5% gelatin 2.2 M sucrose gels. Peaks with positive dichroism were observed at 638 nm and 688 nm with shoulders at approx. 650 nm and 700 nm. The amplitude of the 650 nm shoulder was greater for cells in State 2 than those in State 1, and the State-2-minus-State 1 difference spectrum had a single peak at 656 nm. The linear dichroism spectrum of phycobilisomes isolated from A. nidulans showed peaks at 635 nm (phycocyanin) and 656 nm (allophycocyanin). The spectrum for thylakoid membranes free of phycobilisomes had one peak at 685 nm with a shoulder at 698 nm. We suggest that the change in dichroism at 656 nm between cells in State 1 and State 2 results from a change in orientation of the allophycocyanin core of the phycobilisome. This result is discussed in the context of our model for the light-state transition in phycobilisome-containing organisms.