硫酸盐对淡水养殖池塘表层底泥微生物的影响

硫酸盐引起的生态学效应已得到了越来越多的关注,但目前关于硫酸盐对养殖池塘底泥微生物的影响还知之甚少。【目的】探究不同浓度硫酸盐对养殖池塘底泥微生物的影响规律及可能的机制。【方法】本研究利用采集自养殖池塘的底泥和表层水构建了试验系统,研究了加入约0 mg/L （对照组）、30 mg/L （T1处理组）、150 mg/L （T2处理组）、500 mg/L （T3处理组） Na₂SO₄后表层底泥微生物的丰度、多样性、组成和共生网络的变化规律,并分析了环境影响因素。【结果】孵育第30天前,各实验组底泥微生物变化不大;但到第50天时,T2和T3处理组微生物丰度和多样性相比对照组均明显下降。相比其他实验组,T1处理组酸杆菌门（Acidobacteriota）、拟杆菌门（Bacteroidota）相对丰度出现显著升高（P<0.05）,T3处理组变形菌门（Proteobacteria）和放线菌门（Actinobacteriota）相对丰度出现显著升高（P<0.05）。与对照组相比,T1处理组增加了较多差异类群（62种）,而T3处理组差异类群大量减少（45种）。共生网络图分析显示硫酸盐浓度的增加引起了底泥微生物网络复杂性的增加,说明微生物群落可能通过自身的调节来响应硫酸盐引起的环境改变。冗余分析（redundant analysis,RDA）和相关性分析揭示底泥总有机碳、总氮和氧化还原电位是影响底泥微生物的主要环境因素,提示底泥微生物可能受到硫酸盐和有机质作用的影响。【结论】较长时间的高浓度硫酸盐会对池塘底泥微生物群落造成重要影响,微生物群落自身的转变和硫酸盐引起的有机质分解改变可能是造成微生物群落变化的关键因素。     

Classification of doubly wound nucleotide binding topologies using automated loop searches

A classification is presented of doubly wound α/β nucleotide binding topologies, whose binding sites are located in the cleft formed by a topological switch point. In particular, the switch point loop nearest the N-terminus is used to identify specific structural classes of binding protein. This yields seven structurally distinct loop conformations, which are subsequently used as motifs for scanning the Protein Data Bank. The searches, which are effective at identifying functional relationships within a large database of structures, reveal a remarkable and previously unnoticed similarity between the coenzyme binding sites of flavodoxin and tryptophan synthetase, even though there is no sequence or topological similarity between them.     

成渝城市群区域生态与城镇发展双网络格局分析及时空演变

协调生态网络格局与城镇网络格局是城市可持续发展的重要课题。基于2000、2010、2020年成渝城市群3期土地利用数据,应用形态空间格局分析(MSPA)、景观格局指数、景观连通性、最小累计阻力(MCR)模型等方法构建研究区生态源地与生态廊道、经济社会源地与交通廊道形成的区域生态网络格局与城镇发展网络格局,分析节点、廊道、源地、网络等“点、线、面、网”4类空间要素特征与演变趋势,探讨区域双网络格局空间关系与干扰时空变化情况。结果表明：(1)2000—2020年,研究区生态源地与生态廊道受到不同程度城镇化影响,两者总面积分别减少2660.26 km²、1169.9 km²,经济社会源地与交通廊道总面积则分别增长4324.19 km²、2392.14 km²;(2)以重庆中部、四川西南部为核心的高密度区生态关键点在2000—2020年间重心呈现先由东至西南迁移,后又向东及东北回移的趋势,数量减少了311,同时2020年生态干扰点数量达到2000年的3倍;(3)2000—2020年交通廊道对生态源地的干扰不...     

Surveying nonvisual arrestins reveals allosteric interactions between functional sites

Arrestins are important scaffolding proteins that are expressed in all vertebrate animals. They regulate cell-signaling events upon binding to active G-protein coupled receptors (GPCR) and trigger endocytosis of active GPCRs. While many of the functional sites on arrestins have been characterized, the question of how these sites interact is unanswered. We used anisotropic network modeling (ANM) together with our covariance compliment techniques to survey all the available structures of the nonvisual arrestins to map how structural changes and protein-binding affect their structural dynamics. We found that activation and clathrin binding have a marked effect on arrestin dynamics, and that these dynamics changes are localized to a small number of distant functional sites. These sites include α-helix 1, the lariat loop, nuclear localization domain, and the C-domain β-sheets on the C-loop side. Our techniques suggest that clathrin binding and/or GPCR activation of arrestin perturb the dynamics of these sites independent of structural changes.     

人工辅助投食对滇金丝猴肠道微生物群落的影响

【背景】肠道菌群与宿主的消化吸收、免疫抵抗和行为等息息相关,并受宿主的饮食、生活环境等因素影响。【目的】人工辅助投食能增加野生动物的营养摄入,但对其肠道菌群影响的研究较少。【方法】以云南白马雪山国家级自然保护区内的野生和人工辅助投食滇金丝猴群的新鲜粪便为材料,通过高通量测序探究人工辅助投食对猴群肠道菌群的影响。【结果】人工辅助投食的猴群肠道菌群丰富度、均匀度及谱系多样性更高,并且个体间群落组成差异更小。通过多级物种差异判别分析(linear discriminant analysis effect size, LEfSe)分析发现,人工辅助投食对20种不同分类水平的细菌相对丰度有影响,包括提升了厚壁菌门(Firmicutes)等8种类群的相对丰度,降低了变形菌门(Proteobacteria)、拟杆菌门(Bacteroidetes)等12种类群的相对丰度。通过构建微生物相关网络发现,野生猴群肠道菌群网络结构更加复杂,鲁棒性更高。京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes, KEGG)功能预测结果表明,人工辅助投食降低了猴群肠...     

Using ecological networks to answer questions in global biogeography and ecology

Ecological networks have classically been studied at site and landscape scales, yet recent efforts have been made to collate these data into global repositories. This offers an opportunity to integrate and upscale knowledge about ecological interactions from local to global scales to gain enhanced insights from the mechanistic information provided by these data. By drawing on existing research investigating patterns in ecological interactions at continental to global scales, we show how data on ecological networks, collected at appropriate scales, can be used to generate an improved understanding of many aspects of ecology and biogeography—for example, species distribution modelling, restoration ecology and conservation. We argue that by understanding the patterns in the structure and function of ecological networks across scales, it is possible to enhance our understanding of the natural world.     

具有节点偏置的高阶神经网络模型

在汪涛文献基础上提出了一个具有节点偏置的高阶神经网络模型、给出了模型的哈密顿量和学习算法,证明了学习算法的收敛性,该模型能对每一神经元自动引入一个节点偏置使得网络能够存储所有学习图样包括相关图样,其存储容量远高于Hebb—rule—like学习算法下的高阶神经网络模型.对由30个神经元组成的二阶神经网络进行了计算机仿真,结果证实了上述结论.此外,对初始突触强度对学习效果的影响和不同存储图样数目下的平均吸引半径进行了仿真计算并分析了所得结果.新模型的特点使其具有良好的应用前景