Molecular analysis of the bacterial community in a continental high-temperature and water-flooded petroleum reservoir

Water from a continental high-temperature, long-term water-flooded petroleum reservoir in Huabei Oilfield in China was analysed for its bacterial community and diversity. The bacteria were characterized by their 16S rRNA genes. A 16S rRNA gene clone library was constructed from the community DNA, and using restriction fragment length polymorphism analysis, 337 randomly selected clones were clustered with 74 operational taxonomic units. Sequencing and phylogenetic analyses showed that the screened clones were affiliated with Gammaproteobacteria (85.7%), Thermotogales (6.8%), Epsilonproteobacteria (2.4%), low-G+C Gram-positive (2.1%), high-G+C Gram-positive, Betaproteobacteria and Nitrospira (each <1.0%). Thermopilic bacteria were found in the high-temperature water from the flooded petroleum reservoir, as well as mesophilic bacteria such as Pseudomonas-like clones. The mesophilic bacteria were probably introduced into the reservoir as it was being exploited. This work provides significant information on the structure of bacterial communities in high-temperature, long-term water-flooded petroleum reservoirs.     

Key characteristics for facilitating Leucaena leucocephala to successfully invade pioneer communities of tropical rain forests

Aims Due to fast-growing and high drought stress tolerance, Leucaena leucocephala has been widely used for afforestation in degraded tropical forests worldwide, but it is also a global invasive exotic species. Studies have shown that fast-growing can help L. leucocephala successfully invade subtropical forests. In this study, we aimed to investigate whether fast-growing and high drought stress tolerance can help L. leucocephala invade tropical rain forests.Methods The pioneer community of tropical rain forest which had been invaded by L. leucocephala in the Baopoling Mountain, Sanya, China was the research object. Through the t-test, we compared the differences in key functional traits that were related to growth rate (photosynthesis rate, stomatal conductance and transpiration rate) and drought stress tolerance (leaf turgor loss point) in both wet and dry seasons between L. leucocephala and eight dominant native species of pioneer community of tropical rain forest. And the principal component analysis (PCA) was used to investigate whether these functional traits can best discriminate between Leucaena leucocephala and the eight dominant native species.Important findings Leucaena leucocephala could be invariably growing fast (photosynthesis rate, stomatal conductance and transpiration rate much higher than native species) from wet to dry seasons and had higher drought stress tolerance (leaf turgor loss point much lower than native species) in the dry season. The results of PCA showed that these functional traits could significantly discriminate between L. leucocephala and the eight dominant native species. Therefore, invariable fast-growing from wet to dry season and high drought stress tolerance in the dry season make L. leucocephala successfully invade pioneer communities of tropical rain forests. In the future, these functional traits can be used to select many native species to perform biological control of L. leucocephala in other tropical forests.     

云南新平铁坚油杉森林群落结构特征

摸清珍稀濒危抗旱植物铁坚油杉(Keteleeria davidiana)的种群数量及其分布情况, 能够为珍稀濒危物种保护工作提供基础数据。该文对云南省新平县6个乡镇铁坚油杉群落进行样方调查分析, 每个乡镇设置3个样方, 样方面积为20 m × 20 m, 记录样方生境信息、统计群落物种组成及其数量特征, 对群落类型及其结构特征进行了统计和分析。主要结果: (1)在调查样地内, 共有维管束植物163种, 隶属于58科131属; (2)植物群落区系分布类型有12种, 以热带成分和中国特有种为主, 热带成分占优势; (3)群落内乔木和灌木植物最多, 占62.58%, 其次是多年生草本植物; (4)按照建群种和生活型, 可将18组植被样方数据划分为3个群系17个群落类型; (5)年龄结构不合理, 铁坚油杉种群结构呈衰退趋势, 自然居群已成为小种群。如果铁坚油杉群落没有足够的幼苗进行更新和补充, 铁坚油杉将退出当前的群落。     

长白山林线过渡带树岛土壤微生物群落结构和生态功能

林线过渡带是指从郁闭森林上限到树种分布上限之间的区域,过渡带内生物多样性丰富,生态系统结构、功能和生态过程在很小的海拔梯度内发生剧烈变化,因此对全球气候变化和人类活动极为敏感。树岛是在林线过渡带内出现的斑块状或条带形不连续分布的树木集群,树岛内生存的树木通常能达到与较低海拔郁闭森林同样的高度和胸径,因此揭示树岛这一特殊生境的生态特征及其形成机制,对于预测未来气候变化下林线动态具有重要意义。以长白山岳桦林线过渡带一大型树岛作为研究对象,测定了土壤理化性质和土壤酶活性,采用宏基因组测序技术分析了微生物群落结构组成和功能基因丰度,通过与同海拔的开阔区生境进行对比,揭示了树岛这一特殊生境的土壤微生物群落结构特征和潜在生态功能,从土壤养分和土壤微生物学角度,阐明树岛形成的可能驱动机制。结果表明,树岛土壤的含水量、总碳、总氮和微生物生物量显著高于同海拔开阔区（P<0.05）,与微生物r-策略相关的生理生化和遗传学指标,包括纤维素酶活性、放线菌相对丰度、与转录、防御、控制细胞周期相关的基因丰度、小分子碳降解基因丰度,均高于开阔区（P<0.05）。相反的,与微生物K-策略相关的指标,包括酸杆菌相对丰度、大分子碳降解基因相对丰度低于开阔区。揭示了树岛土壤微生物学特征,并从土壤微生物组学角度探讨了树岛形成的潜在机制,认为树岛内土壤养分增加并导致微生物群落r-策略倾向,这种变化反过来也可能促进树岛进一步扩大,进而影响林线动态。     

锑矿废水影响下水库沉积物中细菌群落结构特征研究

【背景】水库沉积物中的微生物是水生态系统的重要组成部分,在沉积物物质循环中起重要作用。【目的】揭示含锑废水影响下水库表层沉积物中细菌群落结构特征及影响因子。【方法】基于Illumina高通量测序技术,对冷水沟水库表层沉积物细菌群落结构进行研究并分析其与沉积物理化性质的相关性;基于FAPROTAX软件对细菌功能进行预测分析。基于重金属污染负荷指数法评价水库重金属污染情况。【结果】高通量测序结果表明冷水沟水库的细菌群落较为丰富,主要由变形菌门(Proteobacteria,40.32%-20.19%)、拟杆菌门(Bacteroidetes,25.89%-4.44%)、脱硫杆菌(Desulfobacter,9.43%-2.02%)等81个门570个属组成。相关性分析表明,不同提取形态的锑及水溶态锑与多个不同分类水平下的细菌群落有显著的相关性。FAPROTAX软件对细菌功能进行预测,结果表明,化能异养功能细菌占优势(占总细菌的14.59%-23.58%),包括化能异养(Chemoheterotrophy)和需氧化能异养(Aerobic Chemoheterotrophy);此外,与碳、氮、硫元...     

南亚热带马尾松-红椎混交林及其纯林土壤细菌群落结构与功能

营建乡土阔叶树种人工纯林和针阔混交林是我国亚热带地区森林经营的发展趋势,但对人工纯林和针阔混交林土壤细菌群落结构及功能知之甚少。本研究以南亚热带乡土针叶树种马尾松、阔叶树种红椎人工纯林及二者的混交林为对象,运用细菌16S rRNA基因高通量测序技术和PICRUSt基因功能预测,分析了3种人工林不同土层(0～20、20～40和40～60 cm)土壤细菌群落的结构与功能。结果表明: 混交林和马尾松林土壤细菌群落结构相似,但与红椎林差异显著,红椎林土壤细菌群落多样性、生物通路代谢功能和氮循环功能低于马尾松林和混交林;土壤全氮、硝态氮和C/N是导致红椎林与马尾松林和混交林土壤细菌群落结构及功能差异的主要土壤理化因子。就土壤细菌群落结构与功能而言,在该地区营造红椎和马尾松针阔混交林要优于红椎纯林。     

A new method for evaluating defense of microalgae against protozoan grazing

Body-size spectrum has proved to be a highly informative indicator to summarize the functional structure of a community at taxon-free resolution. In this study, an approach based on body-size spectrum of protozoan communities was used to detect the defense of microalgae against protozoan grazing. The biofilm-dwelling protozoan communities were used as a test predator system, and two algal species, Chlorella sp. and Nannochloropsis oceanica, were employed as test microalgae. A nine-day bioassay test was carried out by exposing biofilm-dwelling protozoan communities to a gradient of concentrations 10⁰ (control), 10⁴, 10⁵, 10⁶, and 10⁷ cell ml⁻¹ of both microalgae, respectively. Results showed that both algal species represented strong defense effects on the test predator system at different levels of concentration. The body-size distinctness of the protozoan assemblages showed a sharp decrease at high concentration level more than 10⁶ cell ml⁻¹ in both algal treatments. Based on the paired body-size distinctness indices of the protozoa, ellipse tests demonstrated that the body-size spectrum showed an increasing trend of departure from the expected pattern with increasing concentrations of both test algae. Thus, it is suggested that the body-size spectrum of protozoa may be used as a useful indicator to identify the defense of microalgae against protozoan grazing.     

California Multivariate Ocean Climate Indicator (MOCI) and marine ecosystem dynamics

Marine ecosystems are complex adaptive systems with physical and biological processes operating on multiple spatial and temporal scales. Here, we present an operational regional indicator for California's continental shelf system and investigate its skill in predicting a variety of biological responses across trophic levels. This updated Multivariate Ocean Climate Indicator (MOCI) version 2 includes data that are readily available from the Internet so the indicator can be automatically updated and shared regularly. MOCIv.2 is a simplified version of MOCIv.1, but it captures ocean-climate variability similarly. MOCIv.2 illustrates all major ENSO events that occurred over the past 25 years as well as the phasing and magnitude of the most recent North Pacific marine heat wave, dubbed ‘The Blob’. It also shows differences in the magnitude and timing of ocean-climate variability in different regions off California. MOCIv.2 has skill in nowcasting marine ecosystem dynamics, from zooplankton to top predators, and therefore may be useful in establishing bio-physical relationships important to ecosystem-based fisheries and wildlife management in California.     

An intelligent system for estimating frog community calling activity and species richness

Over the past decade, dramatic declines in frog populations have been noticed worldwide. To examine this decline, monitoring frogs is becoming increasingly important. Compared to traditional field survey methods, recent advances in acoustic sensor technology have greatly extended spatial and temporal scales for monitoring animal populations. In this paper, we examine the problem of monitoring frog populations by analysing acoustic sensor data, where the population is reflected by community calling activity and species richness. Specifically, a novel acoustic event detection (AED) algorithm is first proposed to filter out those recordings without frog calls. Then, multi-label learning is used to classify each individual recording with six acoustic features: linear predictive coding coefficients, Mel-frequency cepstral coefficients, linear-frequency cepstral coefficients, acoustic complexity index, acoustic diversity index, and acoustic evenness index. Next, frog community calling activity and species richness are estimated by accumulating the results of AED and multi-label learning, respectively. Finally, ordinary least squares regression (OLS) is conducted to reveal the relationship between frog populations (frog calling activity and species richness) and weather variables (maximum temperature and rainfall). Experimental results demonstrate that our proposed intelligent system can significantly facilitate the effort to estimate frog community calling activity and species richness with comparable accuracies. The statistical results of OLS indicate that rainfall pattern has a lagged impact on frog community calling activity (significant in the first day after rainy day) and species richness (significant in the fourth day after rainy day). Temperature is shown to affect species richness but is less likely to change calling activity.