三峡库区消落带植被NPP估算——基于机器学习优化CASA模型

三峡库区蓄水后,其生态效应受到广泛关注。消落带植被固碳量作为衡量库区生态系统健康状态的重要指标,对库区碳循环与生态净化具有重要意义。针对消落带不同高程植被接受光照的时间有所差异,且受河流水位变化影响,传统的CASA模型在计算消落带植被固碳量时,存在对植物的光能利用率计算不够精确等问题。以三峡库区香溪河陡坡消落带为研究区域,提出了一种耦合RBFNN模型（Radial Basis Function Neural Network）与CASA模型（Carnegie-Ames-Stanford approach）的新方法（RBF-CASA）。基于RBFNN建立环境影响因子模型,借助高程数据及植被指数等特征计算适合消落带区域的环境影响因子。结合CASA模型中温度和水分胁迫因子,提高植被在像元尺度上的净初级生产力（Net Primary Productivity,NPP）的估算精度,并对反演结果进行验证。模型验证结果显示：RBF-CASA模型估算值与观测值的决定系数（Coefficient of determination, R²）为0.730（P<0.01, n=32）。对比原始CASA模型,平均绝对误差（Mean absolute error, MAE）降低10.991,均方根误差（Root mean square error, RMSE）降低了23.861,相对均方根误差（Relative root mean square error, RRMSE）降低5.10%,平均绝对百分误差（Mean absolute percentage error, MAPE）降低1.12%。使用提出的RBF-CASA模型在库区水位落干期（7-8月份）进行固碳量估算,结果表明：NPP月均值在66.234-134.144g C/m²之间,NPP随着高程的增加呈现起伏变化,其总量在150-155m之间达到峰值,均值在170m以上区域最高。在2021年9月植被NPP均值为35.883g C/m²,2022年9月植被NPP均值为25.964g C/m²,由于降雨量减少、长江水位下降,在2021-2022年间植被恢复情况较差。研究结果可为库区碳循环、生态净化及生态修复等决策提供科学依据。     

锰矿区大叶胡枝子灌丛土壤的丛枝菌根真菌多样性

大叶胡枝子(Lespedeza davidii)为一种豆科灌木,具有较强耐受重金属胁迫及固氮能力,也是矿区一种重要修复植物。丛枝菌根真菌(Arbuscular mycorrhizal fungi,AMF)是一类植物共生真菌,它在矿区与植物共生可促进植物生长、提高植物的抗逆性;但其种类、分布及其影响机制尚不够清楚。以大叶胡枝子灌丛土壤AMF群落为研究对象,采集矿区与非矿区大叶胡枝子冠下及其相邻空旷地土壤进行内部转录间隔区(ITS)测序,分析土壤理化性质,揭示不同样地土壤AMF群落的多样性及其影响因素。研究结果表明:(1)土壤样本共得到2961个可操作分类单元(OTU),其中属于AMF的OTU为66个;Silva数据库比对发现AMF有7目10科16属24种。AMF总体物种丰度为矿区相邻空旷地土壤>矿区冠下土壤>非矿区冠下土壤>非矿区相邻空旷地土壤,Shannon指数和Simpson指数与该趋势保持一致。(2)矿区土壤AMF群落以内养囊霉属(Entrophospora)等为优势属,非矿区冠下以斗管囊霉属(Funneliformis)等为优势属。稀有内养囊霉(Entrophospora infrequens)是4个样地共有的优势种,该种为广谱生态型种;Archaeospora sp.和Paraglomerales sp.为矿区冠下的优势种,它们对锰胁迫有较强的耐受性;Funneliformis sp.为非矿区冠下的优势种。(3)冗余分析(RDA)表明,AMF的种类和数量受到锰含量、土壤pH值以及全磷含量的显著影响。本研究结果说明AMF种类及多样性受到土壤理化性质的影响;矿区一些耐性AMF的存在提高了AMF多样性,它们有利于逆境条件下植物的生长。     

高寒半干旱区沙地植被土壤水分变化特征及其影响因素

为揭示高寒半干旱区不同降雨强度对植被差异下沙化土地土壤含水量变化过程的影响。以青海共和盆地东缘黄沙头乔木、灌木和裸地为研究对象,基于2020、2021和2022年5月-9月植物生长季土壤含水量、降雨量和细根分布监测数据,分析2020年、2021年、2022年各生境0-200 cm深度土壤水分对小雨、中雨、大雨的响应。连续动态监测结果表明,大雨、中雨条件下,随土层深度的增加土壤水分对降雨的响应时间延长。乔木林和灌木林土壤水分对中雨、大雨最大响应深度为70 cm、100 cm,裸地对中雨、大雨最大响应深度为50 cm、100 cm。随土层深度的增加,小雨对乔木、灌木、裸地土壤水分的补充作用逐渐降低;中雨对灌木林土壤水分的补充作用逐渐降低,乔木林与之相反;大雨时乔木林、灌木林变异系数呈现S型变化,因此大雨对其土壤水分的补充存在明显的分层利用现象。不同植被类型土壤水分空间变化差异以及对降雨的响应受植被冠层截留对降水再分配的影响,土壤含水量与环境因子间的主成分分析表明,郁闭度、叶面积指数、150-200 cm土壤容重、细根生物量密度、根表面积密度、根长密度、比根长是反映研究区土壤水分的显著因子(P ＜ 0.05)。研究表明不同降雨强度植被土壤含水量存在明显差异,高寒半干旱区沙化土地乔、灌植被的建植可提升深层土壤储水能力;结果可为沙化土地恢复和水土流失防控提供科学依据。     

Structural and dynamic basis of DNA capture and translocation by mitochondrial Twinkle helicase

Twinkle is a mitochondrial replicative helicase which can self-load onto and unwind mitochondrial DNA. Nearly 60 mutations on Twinkle have been linked to human mitochondrial diseases. Using cryo-electron microscopy (cryo-EM) and high-speed atomic force microscopy (HS-AFM), we obtained the atomic-resolution structure of a vertebrate Twinkle homolog with DNA and captured in real-time how Twinkle is self-loaded onto DNA. Our data highlight the important role of the non-catalytic N-terminal domain of Twinkle. The N-terminal domain directly contacts the C-terminal helicase domain, and the contact interface is a hotspot for disease-related mutations. Mutations at the interface destabilize Twinkle hexamer and reduce helicase activity. With HS-AFM, we observed that a highly dynamic Twinkle domain, which is likely to be the N-terminal domain, can protrude ∼5 nm to transiently capture nearby DNA and initialize Twinkle loading onto DNA. Moreover, structural analysis and subunit doping experiments suggest that Twinkle hydrolyzes ATP stochastically, which is distinct from related helicases from bacteriophages.     

MiR-942-3p as a Potential Prognostic Marker of Gastric Cancer Associated with AR and MAPK/ERK Signaling Pathway

Gastric cancer is a common tumor with high morbidity and mortality. MicroRNA (miRNA) can regulate gene expression at the translation level and various tumorigenesis processes, playing an important role in tumor occurrence and prognosis. This study aims to screen miRNA associated with gastric cancer prognosis as biomarkers and explore the regulatory genes and related signaling pathways. In this work, R language was used for the standardization and differential analysis of miRNA and mRNA expression profiles. Samples were randomly divided into a testing group and a training group. Subsequently, we built the five miRNAs (has-miR-9-3p, has-miR-135b-3p, has-miR-143-5p, has-miR-942-3p, has-miR-196-3p) prognostic modules, verified and evaluated their prediction ability by the Cox regression analysis. They can be used as an independent factor in the prognosis of gastric cancer. By predicting and analyzing potential biological functions of the miRNA target genes, this study found that the AR gene was not only a hub gene in the PPI network, but also associated with excessive survival of patients. In conclusion, this study demonstrated that hsa-miR-942-3p could be a potential prognostic marker of gastric cancer associated with the AR and MAPK/ERK signaling pathways. The results of this study provide insights into the occurrence and development of gastric cancer.