On the diet of Nile tilapia in two eutrophic tropical lakes containing toxin producing cyanobacteria

Due to the production of toxins, cyanobacteria may adversely affect economically important fish such as Nile tilapia Oreochromis niloticus in tropical lakes. We studied the diet composition and factors affecting the diet of Nile tilapia in two tropical lakes where cyanotoxins were present. Particle-bound microcystins were present in all analysed water samples, ranging in concentration from 0.00012 to 1.11 and from 0.006 to 0.254 μg L⁻¹ in Murchison Bay in Lake Victoria and Lake Mburo, respectively. Detritus and phytoplankton were the main dietary components of the Nile tilapia, with phytoplankton contributing to over 30% by volume of stomach contents. The cyanobacteria Microcystis spp., which are also the most likely source of microcystins in the lakes, accounted for more than 80% of ingested phytoplankton. Microcystis spp. were also the most abundant cyanobacteria in both lakes (>60%). We found no significant relationship between the contribution of phytoplankton in Nile tilapia diet and the concentration of microcystins in the water but we found a close association between water transparency and the contribution of insects to Nile tilapia diets in Murchison Bay. Our results further show that none of the other measured environmental variables was a good predictor of diet items in Nile tilapia. Adult Nile tilapia in our study lakes, rely heavily on filter feeding, particularly under conditions of low water transparency, trapping detritus and phytoplankton cells especially colonies. They can ingest more mobile prey like insects and insect larvae when the water transparency and visibility increases.     

蓝藻水华暴发期间太湖贡湖湾某水厂水源水及出厂水中微囊藻毒素污染分析及健康风险评价

水体富营养化导致的有害蓝藻水华仍是目前全世界普遍面临的水环境问题,而有害蓝藻水华所引起的饮用水安全问题亦受到人们的广泛关注.为了解太湖水源地水源水及自来水厂出厂饮用水中微囊藻毒素(MCs)的污染现状,于2014年8月期间对贡湖湾某水厂水源水及出厂水中浮游植物胞内及胞外MCs浓度进行了调查,并同时检测了相关的理化指标.结果表明,水源水中胞内MCs总浓度平均值为7165.5 ng/L,以MC-LR和MC-RR为主,平均浓度分别为3408.7和3398.8 ng/L,其中MC-RR占总MCs比例的平均值为56.1%;而胞外溶解性MCs浓度相对较低,平均浓度为142.6 ng/L,最高浓度仅为512.8 ng/L.水厂出厂水中胞内MCs的检出浓度(平均值为0.77 ng/L)和检出频率都很低,去除率达99.8%以上;而胞外溶解性MCs的检出浓度(平均值为21.71 ng/L)和检出频率相对较高,但浓度仍远低于国家标准1.0μg/L,其去除率相对较低,仅为62.9%~81.8%.数据分析发现,水源水中胞内与胞外MCs浓度之间呈显著正相关,胞内MCs浓度与总氮(TN)浓度、铵态氮(NH+4-N)浓度、总磷(TP)浓度、高锰酸盐指数(CODMn)和浊度呈显著相关,而胞外MCs浓度与TN浓度、TP浓度、CODMn、浊度和叶绿素a浓度呈显著正相关;逐步回归结果显示,TP对胞内MCs浓度变化的解释率最高,而胞外MCs浓度变化主要与胞内MCs浓度相关.最终,通过对出厂饮用水中MCs浓度非致癌风险指数的计算发现,出厂饮用水对人类健康的威胁较小,但致癌风险相对较高.     

细菌群落组成对微囊藻水华分解过程的响应

为探究细菌群落组成对微囊藻水华腐败分解过程的响应,在太湖梅梁湾沿岸进行为期11 d的原位围隔实验,模拟蓝藻水华聚集分解过程,并监测了此过程中水体环境因子和细菌群落组成.结果表明,水体理化因子和细菌群落组成在微囊藻水华分解的过程中发生了显著变化.冗余分析显示细菌的群落组成与水体氧化还原环境(溶解氧或氧化还原电位)、pH值、浮游植物生物量和营养盐浓度(总磷、硝态氮浓度)密切相关.研究还发现了某些与微囊藻水华分解密切相关的特殊细菌类群,其中隶属于黄杆菌科(拟杆菌门)的一个类群在微囊藻厌氧分解的阶段占据显著优势,其功能有待于进一步研究.     

太湖水华蓝藻底泥中复苏和水柱中生长的比较

为了研究太湖底泥中蓝藻的复苏和水柱中的生长,作者自行设计了原位藻类复苏收集器和生长培养器并安放在太湖梅梁湾监测蓝藻复苏释放和生长.实验在藻类的复苏期(2005年3-6月)进行．结果表明在复苏期太湖蓝藻的复苏呈现波动性增加,4月达到最大量．水柱中蓝藻同步的比生长率和生长量也呈现波动性上升,并在5月初达到最大值．浮游动物的存在并没有对蓝藻的生长造成显著的影响．对底泥蓝藻释放和水柱生长进行比较,底泥释放的蓝藻只占藻类生长量的很小一部分(<2．5％)．所以,水柱中蓝藻的生长对其优势的确立和水华的形成具有重要的作用,今后的研究将主要集中在水柱中蓝藻的动态变化     

湖泊蓝藻水华生态灾害形成机理及防治的基础研究

湖泊具有供水、渔业、旅游、维持区域生态系统平衡等功能,是支撑我国经济和社会发展的重要资源之一。但是近30年来,湖泊富营养化所导致的蓝藻水华频繁暴发,生态灾害事件频发,严重影响湖泊功能的发挥, 制约区域经济可持续发展。针对国家在保障区域水安全和生态安全、保护人民健康及建设和谐社会等方面的重大需求,国家重点基础研究发展计划项目“湖泊蓝藻水华生态灾害形成机理及防治的基础研究”于2008年7月正式立项。项目拟解决的关键科学问题包括：①湖泊蓝藻水华主要衍生污染物的形成机理、迁移转化规律和毒理效应;②蓝藻水华导致湖泊生态系统结构变化和功能退化的机理;③蓝藻水华生态灾害评估及调控机理。针对上述科学问题,项目以蓝藻水华污染物的产生、湖泊生态系统结构与功能的响应以及生态灾害的评估与调控为研究主线,重点开展以下几个方面的研究：①蓝藻水华衍生污染物的产生及其环境过程;②蓝藻水华衍生污染物的毒理效应与生态和健康风险;③蓝藻水华导致湖泊生态系统结构变化与功能退化的关键过程和机制;④蓝藻水华灾害治理和调控的的技术原理和途径。项目的实施和完成将为我国湖泊蓝藻水华生态灾害的预防与控制提供理论和技术原理支撑。     

Geochemical characterisation of organic matter in Keg River Formation (Elk point group, Middle Devonian), La Crete Basin, Western Canada

Carbonates from the Keg River Formation, La Crete Basin, Alberta, western Canada were examined in order to define: (a) oil source rock potential; (b) bulk maceral composition; (c) extract yield; and finally (d) facies variations using PY-GC-MS. Thirty samples from 6 different wells were examined from the lower Keg River member and 4 from the upper Keg River member using conventional geochemical methods. As maturity differences are absent within the sample set, variations in TOC, T_max, hydrogen index, organic petrography and extract yields are caused by variability in organic matter input, which is revealed by molecular characterisation using PY-GC-MS. Lower Keg River member bituminous wackestones are excellent potential source rocks containing Types I–II and Type II organic matter. Types I–II organic matter contains large well preserved (up to 200μm in diameter) thick-walled Tasmanites (10–15% of sample) and akinete algal cells indicative of algal blooms within an amorphous bituminite. Type II organic matter contains a higher proportion of degraded alginites/bituminite relative to well-preserved alginites. Extract yields (mg/g TOC) were seen to increase from Types I–II to Type II organic matter. PY-GC-MS revealed that 1,2,3,4-tetramethylbenzene was a major peak in most samples. This is a pyrolysis product arising from β-cleavage of C₄₀ diaromatic carotenoids incorporated within the kerogen during diagenesis. The source of this compound is thought to be from an unknown diaromatic compound with a 2,3,6-/3,4,5-trimethyl substitution pattern and isorenieratene, which is specific to photosynthetic green sulphur bacteria (Chlorobiaceae) suggesting that the photic zone was at least partially anoxic during deposition of these samples. The relative abundance of this compound/n-C11-alkene and organic sulphur (calculated from the thiophene ratio) both increase from Types I–II to Type II organic matter. This trend was grossly similar to the trend seen in the variability of extract yield with hydrogen index. A similar trend for HI and T_max indicates samples containing a higher proportion of degraded alginites/bituminite relative to well-preserved alginite are more labile than Type I–II organic matter. Upper Keg River member marls contain Type II organic matter, which is characterised by heavily degraded algal material within a bituminous groundmass. Pyrolysates of two of the marl samples contain only low amounts of 1,2,3,4-tetramethylbenzene, in contrast to the bituminous wackestones, indicating that the depositional environment/source input was different during deposition of the marl samples. Although both marls contain similar organic matter, their pyrolysates were significantly different. One marl (1141.9 m) was highly paraffinic containing dominantly short-chain alkene/alkane doublets, while the other marl (1137.6 m) contained a bimodal n-alkane/alkene distribution and high amounts of alkylphenols, which may be derived from preservation of resistant algal polyphenolic molecules or suggest a terrestrial input.     

A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae

ABSTRACT

In the past decade, floating macroalgae blooms have been increasing on a global scale. Sub-pixel coverage of floating macroalgae in a remote-sensing image is a crucial parameter for the estimation of biomass. In this study, in situ spectra of green macroalgae (Ulva prolifera), brown macroalgae (Sargassum horneri), and sea water were collected, and they were used to simulate the spectra of macroalgae–seawater mixtures in a linear mixing way. Three algae indices, normalized difference of vegetation index (NDVI), difference of vegetation index (DVI), and virtual-baseline reflectance height for floating algae (VB-FAH) derived from the spectra, were examined with the coverage of macroalgae. The results show that all three indices increase monotonically with increasing sub-pixel coverage of macroalgae: VB-FAH and DVI increase linearly, while NDVI shows a logarithmic increase. Based on this characteristic, two sub-pixel coverage models were proposed (i.e., a linear model based on VB-FAH (or DVI) and an exponential model based on NDVI). These models were then applied to the multiple-spectral GaoFen-1 (GF-1, 16?m resolution) satellite image to examine the sub-pixel coverage of green tide in the Yellow Sea caused by the bloom of floating green macroalgae (U. prolifera). The results show that the relative differences between the two models are no more than 5%, indicating good consistency between the two models. Taking into account the sensitivity of these models (or indices) to the coverage of macroalgae, as well as atmospheric and sea surface conditions and their simplicity, we suggest using the linear model based on VB-FAH, DVI, or a similar band-difference index to estimate sub-pixel coverage of floating macroalgae.     

微生物治理有害藻华研究进展

近年来,全球近海海域有害藻华频发,导致严重的环境问题与经济损失,如何有效地治理有害藻华引发全球关注。抑藻微生物可以通过细胞接触等直接方式及分泌胞外活性物质等间接方式破坏藻细胞的细胞结构、生理过程和遗传功能,进而抑制藻细胞的生长。本文总结了抑藻微生物控制有害藻华的主要作用原理和研究进展,综述了当前以微生物为基础的控制藻华的方法和技术,探讨了其在有害藻华治理方面的发展方向与应用前景,以期为有害藻华的防控提供参考。     

淡水蓝藻胶被生物学功能及其分子调控研究进展

胶被是蓝藻细胞外部的功能性结构,在蓝藻形态适应性策略中发挥重要作用,影响蓝藻水华发生及其优势维持.近年来,对蓝藻胶被的特性、结构组分、影响因子、及其工业应用等方面已有较为丰富且清晰的科学认识.但对胶被生物学功能及相关分子调控机制的研究却相对较少.本文对淡水蓝藻胶被的产生、生物学功能及其分子调控机制进行了综述,总结了胶被...     

蓝藻不同类型胶被提取方法

胶被作为蓝藻细胞外的一层功能性结构,其提取方法仍不清晰完善.本研究选取具有不同胶被形态的鱼腥藻Anabaena sp.和念珠藻Nostoc sp.为实验材料,通过归纳近10年有关藻类胶被的提取方法,总结影响胶被提取效果的主要因素(温度、提取剂浓度、时间等)范围,并设置一系列因素及其梯度的双因素实验和正交实验对胶被提取方法进行优化,观察提取过程中藻细胞形态、自发荧光以及藻细胞密度变化.结果表明,粘液可通过离心法与藻细胞分离;荚膜提取的硫酸水浴法的最优条件为:1 mol/L、60℃、30 min,氢氧化钠水浴法为:0.01 mol/L、50℃、20 min;鞘提取的最优方法条件为氢氧化钠水浴法(0.01 mol/L、80℃、40 min)和超声法(20 kHz,30 W,on:3 s,off:3 s,2 min)结合处理.此外,通过高效液相色谱法测定提取的蓝藻胶被多糖组分,结果显示,鞘具有较强的疏水性,未水化为粘液或RPS,而荚膜中含有的氨基葡萄糖(1.261±0.02 mg/g)使得荚膜比鞘更具有粘附力.将本研究得到的荚膜和鞘的最优提取法运用到胶被形态以荚膜和鞘为主的其他藻种,均有很好的...