A Most Probable Number method (MPN) for the estimation of cell numbers of heterotrophic nitrifying bacteria in soil

A Most Probable Number (MPN) method was developed allowing for the first time estimation of populations of bacteria capable of heterotrophic nitrification. The method was applied to an acidic soil of a coniferous forest exhibiting nitrate production. In this soil nitrate production was unlikely to be catalyzed by autotrophic nitrifiers, since autotrophic ammonia oxidizers never could be detected, and autotrophic nitrite oxidizers were usually not found in appreciable cell numbers. The developed MPN method is based on the demonstration of the presence/absence of nitrite/nitrate produced by heterotrophic nitrifying bacteria during growth in a complex medium (peptone-meat-extract softagar medium) containing low concentrations of agar (0.1%). Both the supply of the growing cultures in MPN test tubes with sufficient oxygen and the presence of low agar concentrations in the medium were found to be favourable for sustainable nitrite/nitrate production. The results demonstrate that in the acidic forest soil the microbial population capable of heterotrophic nitrifcation represents a significant part of the total aerobic heterotrophic population. By applying the developed MPN method, several bacterial strains of different genera not previously described to perform heterotrophic nitrification have been isolated from the soil and have been identified by bacterio-diagnostic tests.     

CULTURE OF THE HETEROTROPHIC DINOFLAGELLATE PROTOPERIDINIUM CRASSIPES (DINOPHYCEAE) WITH NONCELLULAR FOOD ITEMS1

The genus Protoperidinium is an assemblage of heterotrophic dinoflagellates, several species of which have been successfully cultured in the past using various photosynthetic algae as a food source. We succeeded in culturing Protoperidinium crassipes (Kof.) Balech on three separate occasions for periods ranging from 2 to 21 months using rice flour as a food source. In these cultures, unusual small types of cells that were never observed to actively feed sometimes appeared. We confirmed that P. crassipes in culture exhibited bioluminescence.     

Assessing the anthropogenic impact on Lake Shira from antibiotic resistance of heterotrophic bacteria by neural networks methods

A general approach to assessing the anthropogenic impact on lake ecosystems is proposed and exemplified for the case of Lake Shira (Republic of Khakasia, Russia). The impact strength is estimated by applying neural network-based methods to samples of data on interdependent marking features of autochthonous and allochthonous bacteria isolated from the lake in 1997–2001. The proposed combination of analysis methods makes it possible to determine the state of an ecosystem from both small-and large-size samples of data having complex interrelations.     

Chilling tolerance of Central European maize lines and their factorial crosses

BACKGROUND AND AIMS: Chilling-stress tolerance is a prerequisite for maize production under cool climatic conditions. The main goal of this study was to evaluate the Central European dent and flint pools for chilling tolerance during heterotrophic and early autotrophic growth in field trials and growth chamber experiments. METHODS: Five European flint and five dent inbreds and their 25 factorial crosses were evaluated in six natural environments, where chilling occurred, for chlorophyll concentration and plant height at the three-leaf stage, and plant height and fresh weight at the seven-leaf stage. In growth chambers, leaf 3 growth was analysed under cold and control conditions. KEY RESULTS: Comparing the field and growth chamber data, the strongest association was found between leaf elongation rate during cold nights and plant height at the three-leaf stage, with a weaker association with the seven-leaf stage. In the field, moderate correlations were observed between plant height at the three-leaf stage, and plant height and fresh weight at the seven-leaf stage, respectively. Furthermore, mid-parent and hybrid performance were only moderately correlated. CONCLUSIONS: The results suggest that heterotrophic and early autotrophic growth stages are controlled by different genetic factors or that maternal effects play a role. In addition, the findings showed that mid-parent performance is a poor predictor of hybrid performance. Consequently, test cross performance should be the target in quantitiative trait locus (QTL) mapping studies with the final goal of establishing marker-assisted breeding programmes for chilling-tolerant hybrids.     

Evaluation of central metabolism based on a genomic database of<Emphasis Type="Italic">Synechocystis</Emphasis> PCC6803

Cyanobacteria produce industrially important secondary metabolites such as lipopeptide, oligosaccharide, fatty acid (esp. sulfolipid),etc. Among them,Synechocystis PCC6803 is the first strain with a publicly available full genome sequence, as of 1996, and is one of the most extensively studied photosynthetic microorganisms. Using this genomic information, the central metabolism ofSynechocystis PCC6803 was reconstructed, including photosynthesis, oxidative phosphorylation, glycolysis, pyruvate metabolism, TCA cycle, carbon fixation, and transport system. Each biochemical reaction was carefully incorporated into the model, taking into consideration the metabolite formula, stoichiometry, charge balance, and thermodynamic properties using information from genomic and metabolic databases as well as biochemical literature. The metabolic flux of the model was calculated using flux balance analysis according to its cultivation with various carbon sources. The results of simulation were in accordance with experimental data, which suggests that the central metabolism model can properly estimate the behavior ofSynechocystis PCC6803. This model would aid in the understanding of the whole cell metabolism ofSynechocystis PCC6803, the first effort of its kind for photosynthetic bacteria.     

耐高浓度氨氮的异养硝化好氧反硝化菌株U1的鉴定及其脱氮特性

【背景】城市垃圾渗滤液是一种成分复杂的有机废水,含氮量高,如果未经处理直接排放到环境中会造成严重的环境污染。【目的】筛选可以耐受垃圾渗滤液中高浓度氨氮并高效去除污水中氮素的异养硝化好氧反硝化菌株,为解决垃圾渗滤液的氮素污染提供功能菌株。【方法】从垃圾渗滤液中筛选分离能耐受高氨氮浓度的菌株,通过测定各菌株的脱氮能力,筛选到一株脱氮能力最强的菌株,命名为U1,通过测定16S rRNA基因序列和生理生化特性确定该菌株为铜绿假单胞菌。进一步研究了菌株U1在不同初始氨氮浓度、碳源、转速、初始pH、碳氮比等单因素变量下的脱氮能力,并结合L₉（3⁴）正交试验研究了菌株U1的最佳脱氮条件。【结果】分离出一株铜绿假单胞菌并命名为U1。该菌株的最优脱氮条件为:初始氨氮浓度为1 000 mg/L,红糖和柠檬酸三钠的混合碳源,pH 6.0,C/N为10,转速为130 r/min,菌株U1的最大总氮去除率为64.37%,最大氨氮去除率为76.73%。对于总氮和氨氮含量分别是2 345 mg/L和1 473.8 mg/L的垃圾渗滤液,菌株U1最大总氮去除率为27.86%...     

Role of heterotrophic nitrifiers and aerobic denitrifiers in simultaneous nitrification and denitrification process: a nonconventional nitrogen removal pathway in wastewater treatment

Bacterial species capable of performing both nitrification and denitrification in a single vessel under similar conditions have gained significance in the wastewater treatment scenario considering their unique character of performing the above reactions under heterotrophic and aerobic conditions respectively. Such a novel strategy often referred to as simultaneous nitrification and denitrification (SND) has a tremendous potential in dealing with various wastewaters having low C : N content, considering that the process needs very little or no external carbon source and oxygen supply thus adding to its cost-effective and environmentally friendly nature. Though like other micro-organisms, heterotrophic nitrifiers and aerobic denitrifiers convert inorganic or organic nitrogen-containing substances into harmless dinitrogen gas in the wastewater, their ecophysiological role in the global nitrogen cycle is still not fully understood. Attempts to highlight the role played by the heterotrophic nitrifiers and aerobic denitrifiers in dealing with nitrogen pollution under various environmental operating conditions will help in developing a mechanistic understanding of the SND process to address the issues faced by the traditional methods of aerobic autotrophic nitrification–anaerobic heterotrophic denitrification.     

土壤含水量驱动土壤病毒和细菌多度及其与土壤异养呼吸关系的变化

土壤微生物是维持陆地生态系统稳定性和功能的重要组成部分。病毒是地球上数量最多的生物实体,也是若干类型生境中微生物数量的重要调节者。因此,了解病毒与微生物的相互作用,对深入认识包括碳循环在内的生态系统过程具有重要意义。在实验室建立土壤微宇宙实验系统,跟踪调查恒定低含水量、恒定高含水量和波动含水量3种水分处理下土壤病毒和细菌多度的变化,以及土壤异养呼吸速率对土壤病毒-细菌相互作用的响应。相较于低水分处理,高水分处理显著增加了病毒多度（P<0.001）和病毒-细菌多度比（P=0.0026）,波动水分处理显著增加了病毒多度（P<0.001）。在高水分处理的土壤微宇宙中,细菌和病毒多度呈现出随时间动荡的信号,即细菌多度表现出增加-降低-增加的趋势,而病毒多度则表现出增加-降低的趋势,且其变化滞后于细菌。土壤异养呼吸速率与土壤含水量（P<0.001）、细菌多度（P=0.0045）和病毒多度（P<0.001）都具有显著的正相关关系。这些结果说明：病毒导致的下行控制可能是细菌多度的重要影响因子,在水分增加情形下,病毒有可能通过加速细菌的更新速率进而加速土壤呼吸。因此,病毒与细菌的相互作用可能是碳循环的重要决定因素。     

Dynamic modelling of high biomass density cultivation and biohydrogen production in different scales of flat plate photobioreactors

This paper investigates the scaling‐up of cyanobacterial biomass cultivation and biohydrogen production from laboratory to industrial scale. Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate dynamic model to simulate cyanobacterial photo‐heterotrophic growth and biohydrogen production and the prediction of the maximum biomass and hydrogen production in different scales of photobioreactors. To achieve the current goals, experimental data obtained from a laboratory experimental setup are fitted by a dynamic model. Based on the current model, two key original findings are made in this work. First, it is found that selecting low‐chlorophyll mutants is an efficient way to increase both biomass concentration and hydrogen production particularly in a large scale photobioreactor. Second, the current work proposes that the width of industrial scale photobioreactors should not exceed 0.20 m for biomass cultivation and 0.05 m for biohydrogen production, as severe light attenuation can be induced in the reactor beyond this threshold. Biotechnol. Bioeng. 2015;112: 2429–2438. © 2015 The Authors. Biotechnology and Bioengineering Published by Wiley Peiodicals, Inc.     

Removal of highly elevated nitrate from drinking water by pH-heterogenized heterotrophic denitrification facilitated with ferrous sulfide-based autotrophic denitrification

The performance of acetic acid-supported pH-heterogenized heterotrophic denitrification (HD) facilitated with ferrous sulfide-based autotrophic denitrification (AD) was investigated in upflow activated carbon-packed column reactors for reliable removal of highly elevated nitrate (42 mg NO₃-N l⁻¹) in drinking water. The use of acetic acid as substrate provided sufficient internal carbon dioxide to completely eliminate the need of external pH adjustment for HD, but simultaneously created vertically heterogenized pH varying from 4.8 to 7.8 in the HD reactor. After 5-week acclimation, the HD reactor developed a moderate nitrate removal capacity with about one third of nitrate removal occurring in the acidic zone (pH 4.8–6.2). To increase the treatment reliability, acetic acid-supported HD was operated under 10% carbon limitation to remove >85% of nitrate, and ferrous sulfide-based AD was supplementally operated to remove residual nitrate and formed nitrite without excess of soluble organic carbon, nitrite or sulfate in the final effluent.