水位波动和植被恢复对三峡水库消落带土壤原核微生物群落结构的交互影响

水库消落带是典型的生态脆弱敏感区.水位波动是影响消落带土壤环境的主要因素,植被恢复是消落带土壤保育的重要手段.然而,在水库消落带中,水位波动和植被恢复对土壤微生物群落结构的交互影响尚不清楚.为此,选取三峡水库消落带中不同水位高程的撂荒草地和人工林地为研究对象,利用16S rRNA高通量测序技术探究土壤原核微生物群落组成和多样性,并探讨驱动土壤原核微生物群落结构的主要环境因子.结果表明,消落带的低水位高程中土壤原核微生物α多样性最高,其中163 m高程的Pielou_e指数、Shannon指数和Simpson指数显著高于168 m高程,Chao1指数和Shannon指数显著高于173 m高程.但撂荒草地和人工林地的土壤菌群α多样性并无显著差异.同时,水位波动和植被恢复均对土壤原核微生物的群落组成产生显著影响,不同样地中生物标志物类别具有明显差异.值得注意的是,植被恢复模式差异对土壤原核微生物群落结构的影响强于水位波动.此外,层次分割结果显示土壤pH是三峡水库消落带土壤原核微生物群落结构变化的主要驱动因子.以上结果可深化对水库消落带土壤微生物群落结构的认识,并为水库消落带生态系统的恢复重建提供科学参考.     

再生水构建水环境中沉水植物附着细菌群落特征

沉水植物茎、叶附着生物膜对再生水构建水环境的水质改善具有重要作用.为探究再生水水质及沉水植物种类对附着生物膜细菌群落特征的影响,选取再生水构建的水环境中不同种类沉水植物为研究对象,采用16S rRNA高通量测序技术对其附着生物膜及周围环境样本的细菌群落结构和功能基因进行分析.结果表明,再生水水体中氮磷营养物质在水环境中得到了20%~35%的吸收利用,下游水体中COD、浊度和色度呈现升高趋势.沉水植物附着生物膜中细菌群落与周围环境（土壤、底泥和水体）及再生水处理厂活性污泥的细菌群落存在差异：在群落多样性上,其丰富度和多样性显著低于土壤和底泥中细菌但高于水中浮游细菌;在群落结构上,其优势菌属及对应相对丰度与其它样本不同,主要优势菌属有鞘氨醇单胞菌属（Sphingomonas）、气单胞菌属（Aeromonas）、假单胞菌属（Pseudomonas）和不动杆菌属（Acinetobacter）,分别占比7%~40%.沉水植物种类和再生水水质（BOD₅、TN、NH₄⁺-N和TP）均会影响植物附着细菌群落,但水质对附着细菌群落的影响大于植物种类,且水质也会影响沉水植物附着细菌群落功能基因相对丰度,氮磷浓度较高区域氮循环与磷循环功能基因相对丰度较高.研究结果为揭示沉水植物附着细菌群落特征和优选沉水植物种植种类提供科学依据.     

粉煤灰添加对城市多源有机废弃物联合堆肥效能及堆体细菌群落的影响

为实现粉煤灰和多源有机废弃物的高效资源化利用,采用好氧堆肥的方法,以厨余垃圾、鸡粪和锯末（15:5:2）混合原料为底物,添加底物总湿重的5 %和10 %的粉煤灰作为处理组（5 % FA和10 % FA）,并以不添加粉煤灰作为对照处理（CK）,通过测定联合堆肥过程中理化性质、养分元素和细菌群落结构的变化,探究不同粉煤灰添加量对联合堆肥的促进效果.结果表明,添加5 %和10 %粉煤灰可以显著提高联合堆肥的最高温度（56.6 ℃和56.9 ℃）并延长高温期持续时间（9 d）,相较于对照处理,堆体总养分含量分别提高了4.09 %和13.55 %.在整个堆肥过程中,细菌群落结构发生了较大变化,各处理的细菌多样性均出现了明显的提高.在堆肥前期,变形菌门（Proteobacteria）是主要的优势门类,相对丰度在35.26 %~39.40 %之间.进入堆肥高温期,添加5 %和10 %粉煤灰处理中厚壁菌门（Firmicutes）相对丰度达到最高值,分别为52.46 %和67.72 %.芽孢杆菌属（Bacillus）和放线菌属（Thermobifida）是5 %和10 %粉煤灰添加量处理高温期的优势菌属,相对丰度分别为33.41 %和62.89 %（芽孢杆菌属）、33.06 %和12.23 %（放线菌属）.冗余分析（RDA）结果表明不同理化指标对细菌群落均有不同程度影响,其中有效磷、速效钾、有机质以及pH是影响细菌群落结构的主要环境因子.综上,添加粉煤灰促进了城市多源有机废弃物联合好氧堆肥的无害化和腐熟化,优化了微生物群落结构,提高堆肥产品的质量和效率.     

大通河流域土壤细菌及氮循环功能菌群沿海拔的空间分布

探究土壤微生物的海拔分布格局及其驱动机制对理解气候变化下陆地生态系统的响应至关重要.土壤微生物群落的海拔分布格局随空间尺度有所差异,为此分别沿大通河流域干流流向（海拔梯度1 000 m）和山体坡面（海拔梯度500 m）设置了两种空间尺度的样带,利用高通量测序技术分析土壤细菌群落结构和多样性沿海拔的分布特征,基于FAPROTAX数据库分析氮循环功能类群的海拔分布,探讨驱动土壤细菌群落沿海拔分布的关键环境因子.结果表明:①土壤理化性质沿海拔分布有显著差异,总氮（TN）和硝态氮（NO₃ ^-）含量与海拔正相关（P < 0.01）,土壤容重（BD）、pH与海拔负相关（P < 0.001）;②细菌群落OTU丰度沿海拔升高显著增大（P < 0.01）,丰富度和多样性指数沿海拔增大,但趋势不显著（P > 0.05）;③细菌群落以酸杆菌门（Acidobacteria）、变形菌门（Proteobacteria）和拟杆菌门（Bacteroidetes）为优势门,其相对丰度随海拔升高分别增加、减小和微弱减小;④参与氮循环的功能类群共13种,以硝化作用、好氧氨氧化和好氧亚硝酸盐氧化作用为主,随海拔升高响应规律不同,其中硝化作用细菌丰度显著增加（P < 0.01）,好氧氨氧化和硝酸还原细菌丰度微弱增加,而参与含氮化合物异化还原的细菌丰度先增后减;⑤冗余分析表明海拔（ELEV）、pH和氨氮（NH₄ ⁺）是驱动门水平土壤细菌群落的主要因子,Mantel分析表明土壤细菌氮循环优势类群均受海拔驱动（P < 0.01）.⑥流域和坡面尺度上细菌群落α-多样性沿海拔的规律一致,但土壤性质、氮循环功能菌群丰度和主要环境影响因子均不同.因此从不同空间尺度探究土壤微生物的海拔分布格局具有重要意义.     

长江源区各拉丹冬峰雪冰中微粒季节变化及其环境意义

分析了长江源区各拉丹冬峰冰川区不同海拔采集的3个雪坑SP1、SP2和SP3样品中δ18O、不溶微粒数量浓度及主要离子浓度,以探讨本研究区域雪冰微粒含量变化及其来源.结果显示,不同粒径微粒含量变化趋势一致,3个雪坑中细微粒含量分别占总微粒的88%、78%、86%.中微粒分别占10%、19%、11%;不同粒径微粒数量浓度之间的相关系数均达0.9以上(置信度可达99%),具有良好的相关性.雪冰中不溶微粒浓度同Ca2 、Mg2 、SO2-4一样,具有明显的季节波动.非季风期微粒浓度要高于季风期2～4倍.3个雪坑非季风期微粒通量分别占一个年层雪冰中微粒总通量的73.6%、92.3%、97%,即初春季节沙尘暴对于各拉丹冬雪冰中微粒沉降贡献远大于夏.秋季节.结合NCAR/NCEP再分析资料.应用HYSPLIT-4模式模拟的不同季节5 d后向气团轨迹图表明,各拉丹冬峰冰川I区雪冰中不溶性微粒可能来源于中亚、南亚和青藏高原本身,其中影响最大的可能是青藏高原自身的沙尘源区,同时冰川区裸露基岩对雪冰中不溶微粒含量亦有贡献.     

不同曝气方式对人工湿地细菌多样性、代谢活性及功能的影响

细菌在人工湿地去除污染物过程中起着非常关键的作用.基于DNA和RNA高通量测序技术探讨了不同曝气强化方式影响下的人工湿地单元内细菌多样性、代谢活性和功能.结果发现:①养殖废水和人工湿地处理组共检测到细菌4 042个操作分类单元(OTUs),其中α-变形菌、γ-变形菌和拟杆菌为多样性最高的类群,且人工湿地曝气强化方式会在...     

Effects of site-selection bias on estimates of biodiversity change

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site-selection biases influence estimates of biodiversity change is largely unknown. Site-selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site-selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site-selection bias. We used a simple spatially resolved, individual-based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site-selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site-selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site-selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site-selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site-selection bias, we recommend use of systematic site-selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site-selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data.     

Identifying robust strategies for assisted migration in a competitive stochastic metacommunity

Assisted migration (AM) is the translocation of species beyond their historical range to locations that are expected to be more suitable under future climate change. However, a relocated population may fail to establish in its donor community if there is high uncertainty in decision-making, climate, and interactions with the recipient ecological community. To quantify the benefit to persistence and risk of establishment failure of AM under different management scenarios (e.g., choosing target species, proportion of population to relocate, and optimal location to relocate), we built a stochastic metacommunity model to simulate several species reproducing, dispersing, and competing on a temperature gradient as temperature increases over time. Without AM, the species were vulnerable to climate change when they had low population sizes, short dispersal, and strong poleward competition. When relocating species that exemplified these traits, AM increased the long-term persistence of the species most when relocating a fraction of the donor population, even if the remaining population was very small or rapidly declining. This suggests that leaving behind a fraction of the population could be a robust approach, allowing managers to repeat AM in case they move the species to the wrong place and at the wrong time, especially when it is difficult to identify a species’ optimal climate. We found that AM most benefitted species with low dispersal ability and least benefited species with narrow thermal tolerances, for which AM increased extinction risk on average. Although relocation did not affect the persistence of nontarget species in our simple competitive model, researchers will need to consider a more complete set of community interactions to comprehensively understand invasion potential.     

动物粪便施肥措施促进耐药基因在粪便-土壤-蔬菜之间的散播

耐药基因（antibiotic resistant gene,ARG）在动物粪肥施用的土壤中被越来越多地检出,已经引起了人们对公共安全的担忧,但目前关于动物粪便施肥对蔬菜内生菌中耐药基因的影响尚不清楚.因此,本研究利用高通量定量PCR技术,探讨鸡粪肥施用对土壤、苦菊根和叶片中内生细菌菌群和耐药基因谱的影响.研究结果发现,鸡粪肥的施用不仅增加了土壤和苦菊根内生菌中ARG的数量,而且增加了土壤、苦菊根和叶片中内生菌的ARG丰度.相关性分析显示,土壤菌群和苦菊内生菌中ARG谱与细菌菌群组成密切相关,主要涉及变形杆菌纲、酸杆菌纲、放线菌纲和蓝藻细菌纲等细菌菌群.此外,苦菊内生菌与土壤菌群之间存在共有的ARG,表明土壤-苦菊之间存在耐药基因的内部传播.综上所述,鸡粪肥施用会通过粪便-土壤-植物路径增加蔬菜内生菌中ARG的多样性和丰度.     

渔业复垦塌陷地抗生素抗性基因与微生物群落

水产养殖行业抗生素的广泛使用引起了抗生素抗性基因（antibiotic resistance genes,ARGs）污染问题.为探究渔业复垦塌陷地ARGs污染特征,利用宏基因组学技术检测分析了渔业复垦塌陷地ARGs的相对丰度和微生物群落结构.研究区域共检测出29种ARGs,bacA在所有样品中相对丰度最高,达1.96×10^-5~1.19×10^-4.沉积物中磺胺类和四环素类ARGs相对丰度较高,井水中多药类ARGs相对丰度较高.微生物群落结构表明变形菌门（Proteobacteria）在所有样品中为最优势细菌门,沉积物中绿弯菌门（Chloroflexi）和广古菌门（Euryarchaeota）较为优势.属水平上,硫杆菌属（Thiobacillus）为沉积物中最优势细菌属,不动杆菌属（Acinetobacter）和假单胞菌属（Pseudomonas）为井水中优势细菌属.ARGs与微生物相关性分析表明,菌属与ARGs间主要呈中度相关,多种菌属与ARGs显著正相关,ARGs的分布受微生物群落结构的重要影响.渔业复垦塌陷地沉积物与井水均受到ARGs污染,应加强相应控制措施保护区域环境.