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Spatio-temporal patterns of zooplankton in a main-stem dam affected tributary: a case study in the Xiangxi River of the Three Gorges Reservoir, China

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Science China(Life Sciences) 2019年第8期62卷 1058-1069页

作者： Xinghao Li Jie Huang Sabine Filker Thorsten Stoeck yonghong bi Yuhe Yu Weibo Song Laboratory of Protozoology Institute of Evolution and Marine BiodiversityOcean University of ChinaQingdao266003China Key Laboratory of Aquatic biodiversity and Conservation of Chinese Academy of Sciences and State Key Laboratory of Freshwater Ecologyand BiotechnologyInstitute of HydrobiologyChinese Academy of SciencesWuhan430072China Department of Molecular Ecology University of Technology KaiserslauternKaiserslautern67663Germany Department of Ecology University of Technology KaiserslauternKaiserslautern67663Germany Laboratory for Marine biology and biotechnology Qingdao National Laboratory for Marine Science and TechnologyQingdao266003China

As the ecologically important recipient channels for riverine ecosystems, tributaries provide unique microhabitats for microorganisms, among which zooplankton constitutes the most important heterotrophic organisms. In particular, the reduced water velocity caused by dams is more favorable for zooplankton development;therefore, dammed rivers are expected to support extremely diverse and abundant zooplankton communities and notably different spatiotemporal distribution patterns. So far,however, only very few molecular studies support these assumptions. Using high-throughput sequencing, a high number of 350 operational taxonomic units(OTUs;97% cutoff) were retrieved from 30 samples collected in the Xiangxi River, the nearest large tributary upstream of the Three Gorges Dam. Zooplankton did not show significant spatial distribution in the channel. Instead,the community structures varied significantly over sampling dates, corroborating the seasonal patterns found in lakes and ponds in the subtropical zone. As expected, the community compositions were deterministically governed by environmental filtering processes(phylogenetic clustering), in which water velocity appeared to be much less important than other investigated environmental factors. Moreover, most of the detected phylotypes(OTUs) had a relatively high(>90%) sequence similarity to previously deposited sequences, suggesting a mediocre degree of genetic novelty within the zooplankton communities in the Xiangxi River.

关键词： zooplankton high-throughput sequencing spatiotemporal distribution genetic novelty tributary main-stem dam

Identification of driving factors of algal growth in the South-to-North Water Diversion Project by Transformer-based deep learning

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Water biology and Security 2023年第3期2卷 47-56页

作者： Jing Qian Nan Pu Li Qian Xiaobai Xue yonghong bi Stefan Norra Institute of Applied Geosciences Karlsruhe Institute of TechnologyKarlsruhe76131Germany Institute of Advanced Computer Science Leiden UniversityLeiden2333CANetherlands Institute of Informatics Ludwig Maximilian University of MunichMunich80538Germany MioTech Research Yingtou Information Technology(Shanghai)LimitedShanghai200120China State Key Laboratory of Freshwater Ecology and biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan430072China Institute of Environmental Sciences and Geography Soil Sciences and GeoecologyPotsdam University Potsdam-Golm14476Germany

Accurate and credible identification of the drivers of algal growth is essential for sustainable utilization and scientific management of *** this study,we developed a deep learning-based Transformer model,named Bloomformer-1,for end-to-end identification of the drivers of algal growth without the needing extensive a priori knowledge or prior *** Middle Route of the South-to-North Water Diversion Project(MRP)was used as the study site to demonstrate that Bloomformer-1 exhibited more robust performance(with the highest R^(2),0.80 to 0.94,and the lowest RMSE,0.22–0.43μg/L)compared to four widely used traditional machine learning models,namely extra trees regression(ETR),gradient boosting regression tree(GBRT),support vector regression(SVR),and multiple linear regression(MLR).In addition,Bloomformer-1 had higher interpretability(including higher transferability and understandability)than the four traditional machine learning models,which meant that it was trustworthy and the results could be directly applied to real ***,it was determined that total phosphorus(TP)was the most important driver for the MRP,especially in Henan section of the canal,although total nitrogen(TN)had the highest effect on algal growth in the Hebei *** on these results,phosphorus loading controlling in the whole MRP was proposed as an algal control strategy.

关键词： Algal growth Deep learning Driving factor determination Model interpretability Transformer

Levels and distribution of polybrominated diphenyl ethers in Three Gorges Reservoir,China

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Emerging Contaminants 2017年第1期3卷 40-45页

作者： Jingxian Wang yonghong bi Bernhard Henkelmann Zeyu Wang Gerd Pfister Karl-Werner Schramm State Key Laboratory of Freshwater Ecology and biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan430072China Helmholtz Zentrum München-German Research Center for Environmental Health(GmbH) Molecular EXposomics(MEX)Ingolst€adter Landstr.1D-85764NeuherbergGermany Technische Universit€at München Wissenschaftszentrum Weihenstephan für Ern€ahrungLandnutzung und UmweltDepartment für BiowissenschaftenWeihenstephaner Steig 2385350FreisingGermany Department of Engineering University of WaterlooOntarioCanada

Polybrominated diphenyl ethers(PBDEs)were investigated in water,sediments,suspended sediments and biofilms in Three Gorges Reservoir(TGR),*** showed that dissolved bioavailable PBDEs in water of TGR collected with semipermeable membrane device(SPMD)-based virtual organisms(VOs)were very low in the range of *** 811 pg/g lipid and the detected compounds were mainly low molecular BDEs such as BDE-15,17,28,47,49,66,99 and *** PBDE levels in the sediment core collected near the dam were also very low in the range of 84e300 pg/g dw and the detected compounds were mainly large molecular BDEs such as BDE-196,197,206,207 and *** suspended sediments and biofilms,the levels of PBDEs ranged from 298 to 52,843 pg/g dw and the detected compounds were also mainly large molecular BDEs such as BDE-196,197,201,203,206,207,208 and *** dominant compound was BDE-209 which accounted for more than 90%of the total ***,large molecular BDEs tended to be attached on fine *** vertical profile of BDEs on suspended sediments(SS)showed that SSs in the middle depth of water contained high level of *** phenomenon indicated that most of BDE-209 did not settle into the sediment in front of the dam,instead transported further to downstream.

关键词： PBDE Virtual organism(VO) Sediment Suspended sediment(SS) biofilm Three Gorges Reservoir(TGR)

Responses of phytoplankton and its satellite bacteria to exogenous ethanol

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Journal of Oceanology and Limnology 2023年第1期41卷 203-214页

作者： Rediat ABATE Buce Hanoch HETHARUA Vishal PATIL Daner LIN Demeke KIFLE Junrong LIANG Changping CHEN Lin SUN Shuh-Ji KAO yonghong bi Bangqin HUANG Yahui GAO Key Laboratory of Algal biology Institute of HydrobiologyChinese Academy of SciencesWuhan 430072China School of Life Sciences Xiamen UniversityXiamen 361102China Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystem College of Environment&EcologyXiamen UniversityXiamen 361102China State Key Laboratory of Marine Environmental Sciences Xiamen UniversityXiamen 361101China Department of Zoological Sciences Addis Ababa UniversityAddis AbabaPO Box 1176Ethiopia

The response of phytoplankton and its satellite bacteria to various concentrations(0.01%-10%v/v)of ethanol is *** elucidate the effect of ethanol,single-strains of phytoplankton(SSP)culture,pure strains of satellite bacteria isolated from nonaxenic SSP cultures,and Escherichia coli were *** indicate that ethanol could promote the growth and photo synthetic efficiency(F_(v)/F_(m))of S SP at 0.01%and the growth of satellite bacteria at 0.01%-1%.Nevertheless,ethanol inhibited the growth and F_(v)/F_(m)of SSP at 0.1%-1%,and killed bacteria and SSP at 10% *** investigation on a satellite bacterium(Mameliella alba)revealed that ethanol promotes growth by serving as a growth stimulant rather than a metabolic carbon *** 16 S rRNA gene amplicon indicated that all nonaxenic S SP cultures harbor distinct satellite bacteria communities where the SSP culture of Skeletonema costatum,Phaeodactylum tricornutum,and Dunaliella bardawil were dominated by bacteria genera of Marivita(~80%),Dinoroseobacter(~47%),and Halomonas(~87%),respectively,indicating that every SSP cultures have their own distinct satellite bacterial *** bacteria family Rhodobacteraceae was dominant in the two marine diatoms,whereas Halomonadaceae was dominant in the saline green *** to their respective controls,the supply of 0.5% ethanol to SSP cultures promoted the growth of the satellite bacteria but did not cause a significant difference in species composition of satellite ***,a low concentration of ethanol can promote the growth of bacteria in a non-selective *** study enriched our knowledge about the effect of ethanol on aquatic microbes and provided a baseline for basic and applied biotechnological re search in the aquatic environment in the future.

关键词： aquatic microbes bacteria diversity ethanol effect growth inhibition growth stimulation

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三峡水库主要支流碱性磷酸酶活性的比较

湖泊科学 2019年第4期31卷 1012-1022页

作者：袁轶君毕永红胡征宇东华理工大学化学生物与材料科学学院南昌330013 中国科学院水生生物研究所武汉430072

为进一步认识和理解三峡水库中磷的迁移、转化规律及其与富营养化之间的关系,于2014年7月至2015年7月对三峡水库12条典型支流的水体碱性磷酸酶活性进行跟踪观测与比较分析,同步监测各样点水体的理化指标.结果发现,各支流水体碱性磷酸酶... 详细信息

为进一步认识和理解三峡水库中磷的迁移、转化规律及其与富营养化之间的关系,于2014年7月至2015年7月对三峡水库12条典型支流的水体碱性磷酸酶活性进行跟踪观测与比较分析,同步监测各样点水体的理化指标.结果发现,各支流水体碱性磷酸酶活性的分布呈现显著的时空异质性,该异质性与各支流水体富营养化程度密切相关.从季节上看,春季碱性磷酸酶活性呈逐渐上升的趋势,到夏季达到高峰,秋季碱性磷酸酶活性逐渐下降,冬季降到全年最低点.从空间分布上看,水体碱性磷酸酶活性在各支流的总体分布趋势为:小江>香溪河>苎溪河>童庄河>青干河>袁水河>磨刀溪>梅溪河>汤溪河>草堂河>大宁河>神农溪.综合营养指数较高的小江、香溪河和苎溪河,其碱性磷酸酶活性较高;综合营养指数较低的大宁河和神农溪,碱性磷酸酶活性较低.相关分析显示,各支流碱性磷酸酶活性与水温、溶解氧、电导率、pH和浊度均存在显著正相关;与透明度呈显著负相关.在营养盐方面,碱性磷酸酶活性与可溶性活性磷呈显著负相关;与高锰酸盐指数、叶绿素a浓度和综合营养状态指数均呈显著正相关.不同时期不同生物的贡献和不同环境因素的影响是导致碱性磷酸酶时空异质性的主要原因.

关键词：碱性磷酸酶富营养化综合营养状态指数三峡水库支流

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水杨酸对刚毛藻生长的抑制作用

生态毒理学报 2021年第6期16卷 304-312页

作者：熊珍珍毕永红中国科学院水生生物研究所淡水生态与生物技术国家重点实验室武汉430072 中国科学院大学北京100049

近年来刚毛藻快速增殖与泛滥成灾对养殖水体和饮用水源造成了严重影响,为探究快速处理方法,选取寡枝刚毛藻(Cladophora oligoclona)为受试对象,采用不同浓度的水杨酸(0、0.2、0.25、0.3、0.35和0.4 g·L^(-1))进行处理,测定了叶绿素a(Ch... 详细信息

近年来刚毛藻快速增殖与泛滥成灾对养殖水体和饮用水源造成了严重影响,为探究快速处理方法,选取寡枝刚毛藻(Cladophora oligoclona)为受试对象,采用不同浓度的水杨酸(0、0.2、0.25、0.3、0.35和0.4 g·L^(-1))进行处理,测定了叶绿素a(Chl a)含量、光合系统Ⅱ(PSⅡ)最大光化学效率(F_(v)/F_(m))、超氧化物歧化酶(SOD)和过氧化物酶(POD)活性、蛋白和丙二醛(MDA)含量等指标,并观察了细胞显微结构的变化。结果表明,水杨酸能抑制刚毛藻生长,随水杨酸浓度升高,刚毛藻Chl a含量逐渐降低,呈现明显剂量效应关系;暴露96 h后,0.4 g·L^(-1)水杨酸对刚毛藻生长抑制率可高达73.64%,96 h半数效应浓度(96 h-EC_(50))为0.262 g·L^(-1)。0.2~0.4 g·L^(-1)水杨酸处理后,藻细胞F_(v)/F_(m)显著降低(P<0.01),MDA含量显著升高(P<0.01),SOD、POD酶活性和可溶性蛋白含量显著降低(P<0.01)。与对照组相比,水杨酸处理后藻细胞颜色逐渐变黄发白,蛋白核数量减少。上述结果表明,水杨酸是通过影响细胞叶绿素含量和降低藻细胞PSⅡ的光合活性,导致藻体同化产物减少;同时使膜脂过氧化加剧,细胞抗氧化酶活性受抑制,最终表现为对刚毛藻生长的抑制作用。鉴于此,水杨酸具有被开发成刚毛藻快速增殖抑制剂的潜力。

关键词：水杨酸刚毛藻急性毒性生长抑制杀藻剂

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极小曲丝藻生长与光合活性对硅浓度的响应

生态科学 2023年第3期42卷 30-36页

作者：熊珍珍毕永红中国科学院水生生物研究所淡水生态与生物技术国家重点实验室武汉430072 中国科学院大学北京100049

为探究南水北调中线干渠硅藻快速增殖与硅浓度间的内在关系,选取干渠全年优势种极小曲丝藻(Achnanthidium minutissimum)为研究对象,研究不同初始硅浓度(0、2、4、6和8 mg·L^(−1))对极小曲丝藻生长和光合生理特性的影响。结果显示,不... 详细信息

为探究南水北调中线干渠硅藻快速增殖与硅浓度间的内在关系,选取干渠全年优势种极小曲丝藻(Achnanthidium minutissimum)为研究对象,研究不同初始硅浓度(0、2、4、6和8 mg·L^(−1))对极小曲丝藻生长和光合生理特性的影响。结果显示,不同浓度硅对极小曲丝藻比生长速率具有显著影响(P<0.05)。硅浓度0 mg·L^(−1)时,细胞密度、比生长速率、叶绿素a浓度、类胡萝卜素浓度和光合系统Ⅱ(PSⅡ)最大光化学效率(Fv/Fm)相对于添加硅的试验组,均显著降低(P<0.05),未出现明显的叶绿素荧光诱导曲线(OJIP)特征,检测不到光合放氧。随硅浓度升高(2®8 mg·L^(−1)),藻细胞密度、比生长速率和最大现存生物量均明显上升;硅浓度2 mg·L^(−1)处理组的细胞叶绿素a和类胡萝卜素浓度均显著低于另外3个硅处理组(P<0.05)。硅浓度4 mg·L^(−1)、6 mg·L^(−1)和8 mg·L^(−1)处理组的细胞叶绿素a和类胡萝卜素浓度、F_(v)/F_(m)和光合放氧速率均无显著差异。研究表明硅是硅藻快速增殖的限制因素;中线干渠内硅浓度较高(约5 mg·L^(−1)),满足硅藻大量增殖需要,是导致硅藻快速增殖、占据优势的重要因子。

关键词：南水北调硅藻快速增殖硅浓度

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葛仙米对丁草胺胁迫的响应

武汉大学学报（理学版） 2007年第2期53卷 219-223页

作者：陈林毕永红胡征宇中国科学院水生生物研究所/淡水生态和生物技术国家重点实验室

研究了丁草胺对可食用蓝藻葛仙米(Nostoc sphaeroides)生理和代谢活性的影响．用不同浓度的丁草胺处理葛仙米,结果显示低浓度(5 mg·L-1)丁草胺使其光合作用、呼吸作用和光合系统Ⅱ活性增强,高浓度丁草胺(>5 mg·L-1)限制其光合作用、... 详细信息

研究了丁草胺对可食用蓝藻葛仙米(Nostoc sphaeroides)生理和代谢活性的影响．用不同浓度的丁草胺处理葛仙米,结果显示低浓度(5 mg·L-1)丁草胺使其光合作用、呼吸作用和光合系统Ⅱ活性增强,高浓度丁草胺(>5 mg·L-1)限制其光合作用、呼吸作用和光合系统Ⅱ活性．同时丁草胺对葛仙米膜结构和功能具有破坏作用,随着丁草胺处理浓度增大,质膜透性不断增大,丙二醛和超氧自由基阴离子含量升高；在低浓度丁草胺处理时,类胡萝卜素含量增加,超氧化物歧化酶(SOD)活性增强,高浓度丁草胺处理时,类胡萝卜素含量降低,SOD活性下降；表明葛仙米对低浓度的丁草胺胁迫具有一定的耐受能力,但高浓度的丁草胺对其生理和代谢构成威胁；针对目前葛仙米野生生境中丁草胺的用量,建议限制丁草胺在葛仙米产地的使用,以保护日益稀缺的葛仙米资源．

关键词：葛仙米丁草胺生理响应胁迫

三峡水库4条支流的浮游植物生物量及其与环境因子的关系

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生态科学 2023年第6期42卷 44-50页

作者：方灵超李渊毕永红中国科学院水生生物研究所淡水生态与生物技术国家重点实验室武汉430072 中国科学院大学北京100049

为了探究三峡支流水域浮游植物生物量的时空变化及其与环境因子的关系,于2019年1月到2020年1月在4条支流(小江、大宁河、神农溪、香溪河)开展水体叶绿素a和理化指标的逐月同步调查监测。结果显示,叶绿素a浓度在5月最高(29.802±19.970μ... 详细信息

为了探究三峡支流水域浮游植物生物量的时空变化及其与环境因子的关系,于2019年1月到2020年1月在4条支流(小江、大宁河、神农溪、香溪河)开展水体叶绿素a和理化指标的逐月同步调查监测。结果显示,叶绿素a浓度在5月最高(29.802±19.970μg·L^(–1));1月最低(1.562±0.362μg·L^(–1)),叶绿素a年平均浓度为(10.810±10.908)μg·L^(–1)。空间上,重庆水域高于湖北水域,小江叶绿素a浓度最高。叶绿素a与理化因子的相关性分析和多元逐步回归分析结果表明,叶绿素a与总磷、溶氧、COD_(Mn)和水温存在显著正相关关系(P<0.05),与磷酸盐和透明度呈显著负相关关系(P<0.05);研究确认磷是三峡水库支流浮游植物生物量的主要控制因子,控磷对三峡支流藻类水华防控具有重要意义。

关键词：三峡水库藻类生物量环境因子