不同利用方式对红壤坡地微生物多样性和硝化势的影响

采集了中国科学院桃源农业生态试验站红壤坡地农田、自然恢复林和茶园土壤样品,采用末端限制性酶切片段长度多态性分析(T.RFLP)技术分析土壤细菌、古菌、氨氧化细菌(AOB)和氨氧化古菌(AOA)的多样性,采用好气培养法测定不同土壤的硝化势,研究不同土地利用方式对微生物多样性和硝化势的影响.结果表明:土壤AOB和AOA多样性指数差异不显著,且在3种不同土地利用方式中呈现相同的趋势,均为农田=茶园>自然恢复林;通过RDA分析发现,不同利用方式造成土壤理化性状的改变是影响土壤AOA和AOB群落结构的主要原因;好气培养法测得不同土壤硝化势农田最高,茶园次之而自然恢复林最低;相关性分析显示,硝化势与细菌16S rRNA、AOA和AOB amoA基因多样性指数呈显著正相关,其中与AOA amoA基因关系最为密切;总体来说,红壤坡地不同利用方式改变了土壤细菌、古菌、AOA和AOB的多样性,土壤AOB和AOA积极参与了土壤的硝化过程,且AOA在氨氧化微生物群落生态功能中占有重要地位,AOA比AOB与硝化势的关系更为密切.     

不同土地利用方式土壤氨氧化微生物和反硝化微生物时空分布特征

研究不同土地利用方式下氮循环相关微生物在不同土壤剖面的分布,可为认识和理解土壤氮转化过程提供科学依据。土壤氨氧化微生物和反硝化微生物在调节氮肥利用率、硝态氮淋溶和氧化亚氮(N₂O)排放等方面有着重要作用。以北京郊区农田和林地两种土地利用方式为研究对象,分析土壤氨氧化潜势和亚硝酸盐氧化潜势在0—100 cm土壤剖面上的季节分布(春季和秋季),并通过实时荧光定量PCR方法表征土壤氨氧化和反硝化微生物的时空分布特征。结果表明,农田土壤氨氧化潜势、亚硝酸盐氧化潜势、氨氧化微生物和反硝化微生物丰度均显著高于林地土壤,且随土壤深度增加而显著降低。除氨氧化古菌amoA基因丰度在不同季节间无显著差异外,春季土壤氨氧化细菌(amoA基因)、反硝化微生物nirS、nirK和典型nosZ I基因的丰度均显著高于秋季。土壤有机质、总氮、NH~+₄-N、NO~-₃-N含量与氨氧化微生物和反硝化微生物的功能基因丰度显著相关。综上,不同土地利用方式下土壤氮循环相关微生物的丰度与土壤氮素的可利用性和转化过程紧密相关,研究结果对土壤氮素利用和养分管理提供...     

白洋淀湖滨湿地岸边带氨氧化古菌与氨氧化细菌的分布特性

摘要：本研究通过分子生物学分析方法,以amoA基因为标记,考察了氨氧化古菌（Ammonia-Oxidizing Archaea, AOA）和氨氧化细菌（Ammonia-Oxidizing Bacteria,AOB）在华北平原的白洋淀这一典型湖泊的湖滨湿地岸边带系统中的生物多样性和丰度分布。在前人的研究中,氨氧化古菌在海洋、原生态土壤和人为干扰土壤等环境中主导氨氧化过程的完成。但本研究发现,在湿地岸边带系统中氨氧化过程并不是完全由氨氧化古菌主导完成,即氨氧化古菌和氨氧化细菌在不同区域分别占据主导地位。根据主导微生物的不同,可以将湿地岸边带区域划分为陆相区、中间区和湖相区。在湿地岸边带陆相区,氨氧化古菌主导氨氧化过程,氨氧化古菌的amoA基因丰度是氨氧化细菌的526倍（AOA：1.23?108每克干土;AOB：2.34?105每克干土）;在岸边带湖相区,氨氧化细菌主导氨氧化过程,氨氧化古菌的amoA基因丰度只有氨氧化细菌的1/50倍（AOA：3.17?106每克干土;AOB：1.39?108每克干土）;在岸边带中间区,两种微生物对氨氧化过程的贡献相当,二者的amoA基因丰度也相当 (AOA：9.83?106, AOB：4.08?106)。研究还发现,湿地中间区的微生物生物多样性高于陆相区和湖相区。在湿地中间区,氨氧化古菌和氨氧化细菌的生物多样性都最高,分别有5和7个操作分类单元（OTUs）;相比之下,岸边带陆相区和湖相区的多样性依次降低,陆相区的氨氧化古菌和氨氧化细菌分别有3和6个操作分类单元,湖相区的氨氧化古菌和氨氧化细菌分别有2和6个分类单元。本研究的两个结论进一步反映了湿地岸边带极强的空间异质性。     

不同林龄杉木人工林土壤硝化和反硝化作用

对不同林龄杉木人工林(5、8、21、27和40年生)土壤硝化与反硝化过程及功能微生物丰度进行研究。结果表明: 土壤净硝化速率随林龄的增加波动变化,8、27年生杉木人工林土壤净硝化速率显著低于5、21和40年生。27年生杉木人工林土壤氨氧化古菌(AOA) amoA基因丰度显著低于40年生,其他林龄AOA amoA基因丰度之间无显著差异。不同林龄杉木人工林的氨氧化细菌(AOB) amoA基因丰度、反硝化功能基因丰度以及反硝化潜势均无显著差异。逐步回归分析表明,土壤氨氧化微生物AOA amoA基因丰度受土壤理化性质的影响不显著,土壤总碳和土壤pH是影响AOB丰度的重要因子。反硝化功能基因narG、nirK及nosZ随土壤pH的增加而增加,编码亚硝酸盐还原酶(NIR)的功能基因(nirK、nirS)受土壤总碳的影响。林龄可通过影响AOA amoA基因丰度影响土壤净硝化速率。林龄直接作用于反硝化潜势,或间接影响土壤微生物生物量碳、土壤pH及反硝化功能基因丰度(narG和nirK),进而影响反硝化潜势。相较于反硝化过程,土壤硝化作用及AOA amoA基因丰度对杉木林分发育更加敏感,可适当延长轮伐期以降低土壤硝化作用造成的氮流失风险。     

重庆紫色水稻土中“全程”和“半程”氨氧化微生物的垂直分异

【目的】系统评估全程氨氧化细菌(complete ammonia oxidizing bacteria, Comammox bacteria)、半程氨氧化细菌(AOB)和古菌(AOA)在典型水稻土剖面的垂直分异规律。2015年发现的"全程"氨氧化细菌(Comammox Nitrospira)可将氨分子一步氧化为硝酸盐,实现硝化作用。而经典的"半程"氨氧化细菌(AOB)或古菌(AOA)将氨分子氧化为亚硝酸盐后,再由系统发育完全不同的硝化细菌将其氧化为硝酸盐。全程氨氧化细菌实现了一步硝化全过程,根本改变了学术界对2类微生物分步硝化的经典认知,但相关研究仍处于初步阶段。【方法】选择重庆北碚地区2017年典型水稻土并采集5、10、20和40 cm不同深度土壤(剖面采样点的上下误差不超过1cm),提取水稻土总DNA后,利用标靶功能基因amoA,通过实时荧光定量PCR技术分析全程氨氧化细菌(Comammox)、半程氨氧化细菌(AOB)和古菌(AOA)在水稻土不同深度的数量变异规律。【结果】半程氨氧化细菌AOB和古菌AOA均随土壤深度增加呈显著下降趋势。然而,全程氨氧化细菌的两大类微生物则表现出相反的规律,Comammox Clade A的丰度随着土壤剖面的加深而显著增加(P0.05),但Clade B并未有类似规律。Clade A在水稻土不同层次的土层中均比Clade B高出1个数量级,在5 cm和40 cm处的最低和最高值分别为3.42×10~7、8.46×10~7 copies/g。AOA与AOB的丰度大致相当,5cm剖面处数量最高分别为1.23×10~7、1.83×10~5copies/g,但其平均丰度远低于全程氨氧化细菌,Comammox与AOA、AOB amoA功能基因拷贝数之比为10–2000。【结论】全程氨氧化细菌(Comammox bacteria)广泛分布于水稻土不同土层中,且数量远高于"半程"氨氧化细菌和古菌,意味着Comammox可能在水稻土硝化作用中起重要作用。     

长期施肥对黄土旱塬农田土壤微生物丰度的影响

以长武黄土高原农业生态试验站的长期定位试验为平台,通过荧光实时定量PCR (real-time PCR) 技术,研究不同施肥制度下的黄土旱塬农田土壤微生物群落丰度,揭示长期不同施肥制度对土壤微生物群落的影响规律.结果表明: 单施化肥处理细菌数量较CK裸地增加21％,古菌增加32％;化肥配施有机肥处理细菌数量增加37％,古菌数量增加36％.化肥配施有机肥处理显著增加了土壤细菌和古菌的丰度.30年长期施氮肥处理导致氨氧化细菌(AOB)的增幅达7.13倍,而氨氧化古菌(AOA)的增幅仅为0.2倍.AOB对施肥的响应程度较高,尤其是对氮肥具有较高的敏感性.与单施氮肥和氮肥混施有机肥处理相比,施磷肥处理显著增加了固氮酶铁蛋白和甲烷氧化菌含量,撂荒地的固氮酶铁蛋白、亚硝酸还原酶和甲烷氧化菌含量显著高于耕作土壤.结合土壤基本理化性质的相关性分析结果,pH、全氮和有机碳含量是影响土壤微生物群落丰度的重要因子.总之,长期施肥显著改变了黄土旱塬农田土壤各微生物丰度,不同施肥模式、耕作方式对微生物群落丰度具有显著影响.     

亚热带森林土壤氨氧化微生物和反硝化微生物功能基因丰度对氮磷输入的响应

为探究亚热带森林土壤氨氧化微生物和反硝化微生物对氮、磷输入的响应，2015年开始在钱江源国家森林公园设置氮磷模拟添加试验，包括对照(CK)、氮(N)添加、磷(P)添加和氮磷(NP)添加4种处理，于2021年4月(湿季)和11月(干季)采集土样，采用定量PCR的方法分析亚热带森林土壤氨氧化微生物(氨氧化古菌AOA、氨氧化细菌AOB和全程氨氧化菌comammox)amoA基因和反硝化微生物功能基因(nirS、nirK和nosZ基因)的丰度变化特征。结果表明：长期N输入显著降低土壤pH,但显著提高了土壤铵态氮和硝态氮含量，而长期P输入显著提高了土壤有效磷和总磷含量。氮的输入(N和NP处理)显著提高了干湿季土壤AOB-amoA基因丰度，且在N处理中最高，达8.30×10⁷ copies·g^-1。NP处理土壤AOA-amoA基因丰度显著高于CK,达1.17×10⁹ copies·g^-1。comammox-amoA基因丰度在不同季节间差异显著，其他基因丰度在不同季节间差异均不显著。双因素方差分析表明，N输入显著...     

3 次连续重复提取DNA 能较好反映土壤微生物丰度

【目的】研究同一个土壤需要反复提取几次才能在最大程度上反映土壤微生物的丰度,探讨风干土壤代替新鲜土壤用于微生物丰度研究的可行性。【方法】针对两种理化性质具有较大差异的旱地和稻田新鲜土壤及其风干土壤,分别对土壤微生物进行5次连续裂解提取DNA。通过实时荧光定量PCR技术分析连续反复提取对土壤古菌和细菌16S rRNA gene数量、氨氧化古菌和细菌功能基因amoA数量的影响。【结果】3次连续提取DNA占5次提取DNA总量的76%以上,氨氧化古菌、氨氧化细菌、古菌和细菌4类微生物的3次连续提取最低回收率为77.5%;与新鲜土壤相比,风干处理导致氨氧化古菌、氨氧化细菌、古菌、细菌的数量分别降低84.3%、81.2%、12.5%和90.3%,然而,2种土壤风干过程中主要微生物类群的数量变化规律基本一致,表明土壤微生物对风干处理的响应可能受土壤类型的影响较小。【结论】土壤微生物连续3次裂解能较好反映微生物丰度。与新鲜土壤相比,风干过程显著降低了土壤微生物丰度,然而,通过风干土壤中微生物丰度的变化趋势反映新鲜土壤中微生物数量变化规律具有一定的可行性。     

亚热带米槠天然林土壤氨氧化微生物对模拟氮沉降的响应

我国亚热带地区是全球氮沉降的热点区域。氮沉降会影响氨氧化微生物的丰度和群落结构,进而改变土壤微生物驱动的养分循环。目前对新近发现的完全氨氧化菌认识不足,极大地制约了对森林土壤氨氧化微生物响应氮沉降的整体认识。本研究以福建省三明市辛口镇格氏栲自然保护区长期模拟氮沉降处理土壤为研究对象,利用实时定量PCR方法,研究氨氧化微生物(包括氨氧化细菌AOB、氨氧化古菌AOA和完全氨氧化菌comammox Nitrospira),尤其是完全氨氧化菌的amoA基因丰度。模拟氮沉降处理包括:不添加N(CK)、低氮(添加40 kg N·hm^-2·a^-1,LN)和高氮(添加80 kg N·hm^-2·a^-1,HN)。结果表明: 8年的氮添加降低了土壤pH值和有机碳含量,提高了土壤硝态氮含量。供试土壤的AOB丰度低于检测限,无法获得目的片段。高氮处理显著提高了AOA丰度,但对完全氨氧化菌clade A和clade B丰度无显著影响。两种氮添加处理均降低了完全氨氧化菌/AOA值,表明氮添加降低了完全氨氧化菌在亚热带森林土壤氨氧化微生物类群中的相对竞争力。针对完全氨氧化菌clade A和clade B的扩增都存在非特异性产物,表明针对森林土壤的高特异性和覆盖度设计引物的必要性。Clade A和clade B丰度与总氮和铵态氮含量呈显著正相关,clade B丰度还与有机碳含量呈显著正相关。总之,模拟氮沉降提高了AOA在亚热带米槠天然林土壤硝化过程中的相对重要性,这些发现可为该地区应对全球变化和氮沉降的风险评估提供理论依据。     

华北典型旱地小麦土壤amoA基因的PCR-RFLP分析

通过构建氨氧化细菌(AOB )和氨氧化古菌(AOA)的氨氧化酶基因亚基A (amoA )克隆文库,并采用限制性片段长度多态性(Restriction Fragment Length Polymorphism, RFLP )技术分析了华北地区典型旱地冬小麦土壤中amoA 基因的多样性.采用MspI 和AfaI 两种限制性内切酶对amoA 基因克隆文库中阳性克隆子进行双酶切后,共得到了18 个氨氧化细菌的可操作分类单元(Operational Taxa Units, OTUs )和10 个氨氧化古菌可操作分类单元(Operational Taxa Units, OTUs ),其文库覆盖率分别达到92.9%和88.3%.氨氧化细菌的Shannon-Wiener 指数、丰富度指数、均匀度指数均高于氨氧化古菌.通过对文库中amoA细菌测序分析,所有的序列都属于Nitrosospira cluster 3 .而在氨氧化古菌中存在着一个绝对优势种群,它占到克隆文库的80 %,测序分析的结果表明,氨氧化古菌属于不可培养的泉古菌门.     

Higher Abundance of Ammonia Oxidizing Archaea than Ammonia Oxidizing Bacteria and Their Communities in Tibetan Alpine Meadow Soils under Long-term Nitrogen Fertilization

Increasing usage of nitrogen fertilizer for food production has resulted in severely environmental problems of nutrients enrichment. This study aimed to examine the response of ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) to a long-term nitrogen fertilization in Tibetan alpine meadow. The abundance and composition of both AOB and AOA were assessed using quantitative real-time PCR, cloning and sequencing techniques based on amoA gene under different fertilization gradient (0, 30, 60, 90, and 120 g m^?2 year^?1). Our results showed that, abundances of AOA amoA genes (ranging from 1.48 × 10⁹ to 2.00 × 10⁹ copies per gram of dry soil) were significantly higher than those of AOB amoA genes (1.25 × 10⁷ to 2.62 × 10⁸ copies per gram of dry soil) under fertilization scenario. The abundance of AOB amoA genes increased with increasing nitrogen fertilization, whereas fertilization had little effect on AOA abundance. Sequences of clone libraries of the different treatments revealed that AOB communities were dominated by representatives of Cluster 4, constituting 48.94–64.44% in each clone library. Sequences of Clusters 9, 1 and 2 were prevalent in soils under higher fertilization. All archaeal amoA sequences recovered were affiliated with the soil/sediment clade and marine sediment clade, and no significant difference was observed on the community structure among different fertilization treatments. Variations in the AOB community structure and abundance were linked to ammonium-N and soil pH induced by different fertilization treatments. These results showed that the abundance and structure of the AOB community respond to the fertilization gradient, not AOA.     

Long-term fertilization regimes change soil nitrification potential by impacting active autotrophic ammonia oxidizers and nitrite oxidizers as assessed by DNA stable isotope probing

Chemoautotrophic ammonia-oxidizers and nitrite-oxidizers are responsible for a significant amount of soil nitrate production. The identity and composition of these active nitrifiers in soils under different long-term fertilization regimes remain largely under-investigated. Based on that soil nitrification potential significantly decreased in soils with chemical fertilization (CF) and increased in soils with organic fertilization (OF), a microcosm experiment with DNA stable isotope probing was further conducted to clarify the active nitrifiers. Both ammonia-oxidizing archaea (AOA) and bacteria (AOB) were found to actively respond to urea addition in soils with OF and no fertilizer (CK), whereas only AOB were detected in soils with CF. Around 98% of active AOB were Nitrosospira cluster 3a.1 in all tested soils, and more than 90% of active AOA were Nitrososphaera subcluster 1.1 in unfertilized and organically fertilized soils. Nitrite oxidation was performed only by Nitrospira-like bacteria in all soils. The relative abundances of Nitrospira lineage I and VI were 32% and 61%, respectively, in unfertilized soils, and that of Nitrospira lineage II was 97% in fertilized soils, indicating long-term fertilization shifted the composition of active Nitrospira-like bacteria in response to urea. This finding indicates that different fertilizer regimes impact the composition of active nitrifiers, thus, impacting soil nitrification potential.     

Do ammonia-oxidizing archaea respond to soil Cu contamination similarly asammonia-oxidizing bacteria?

Inhibitory experiments were conducted to investigate the responses of the population sizes of ammonia-oxidizing archaea (AOA) and bacteria (AOB) and the potential nitrification rates (PNRs) to Cu contamination in four Chinese soils. PNR was determined using a substrate-induced nitrification (SIN) assay, and the population size of the nitrifiers represented by amoA gene abundances was quantified using a real-time polymerase chain reaction (qPCR) assay. Both population size and PNR of the ammonia oxidizers reduced considerably at high Cu concentrations in all the soils. Bacterial amoA gene abundance was reduced by from 107-fold (Hailun soil) to more than 232-fold (Hangzhou soil) at the highest Cu concentrations (2,400 mg kg^?1 Cu for Hailun, Langfang and Guangzhou soils and 1,600 mg kg^?1 Cu for Hangzhou soil), while reduction in archaeal amoA gene abundance was from 10-fold (Langfang soil) to 89-fold (Hangzhou soil). AOA seemed more tolerant to Cu contamination than AOB. Nitrification rates were inhibited by more than 50% at a Cu concentration of 600 mg kg^?1, and by more than 90% at the highest Cu concentrations in all soils. These results indicated that both AOA and AOB can be inhibited by toxic metals, highlighting the need to consider the role of AOA in nitrification in soils.     

Ammonia-oxidizing archaea have more important role than ammonia-oxidizing bacteria in ammonia oxidation of strongly acidic soils

Increasing evidence demonstrated the involvement of ammonia-oxidizing archaea (AOA) in the global nitrogen cycle, but the relative contributions of AOA and ammonia-oxidizing bacteria (AOB) to ammonia oxidation are still in debate. Previous studies suggest that AOA would be more adapted to ammonia-limited oligotrophic conditions, which seems to be favored by protonation of ammonia, turning into ammonium in low-pH environments. Here, we investigated the autotrophic nitrification activity of AOA and AOB in five strongly acidic soils (pH<4.50) during microcosm incubation for 30 days. Significantly positive correlations between nitrate concentration and amoA gene abundance of AOA, but not of AOB, were observed during the active nitrification. ¹³CO₂-DNA-stable isotope probing results showed significant assimilation of ¹³C-labeled carbon source into the amoA gene of AOA, but not of AOB, in one of the selected soil samples. High levels of thaumarchaeal amoA gene abundance were observed during the active nitrification, coupled with increasing intensity of two denaturing gradient gel electrophoresis bands for specific thaumarchaeal community. Addition of the nitrification inhibitor dicyandiamide (DCD) completely inhibited the nitrification activity and CO₂ fixation by AOA, accompanied by decreasing thaumarchaeal amoA gene abundance. Bacterial amoA gene abundance decreased in all microcosms irrespective of DCD addition, and mostly showed no correlation with nitrate concentrations. Phylogenetic analysis of thaumarchaeal amoA gene and 16S rRNA gene revealed active ¹³CO₂-labeled AOA belonged to groups 1.1a-associated and 1.1b. Taken together, these results provided strong evidence that AOA have a more important role than AOB in autotrophic ammonia oxidation in strongly acidic soils.     

Quantitative analyses of ammonia-oxidizing Archaea and bacteria in the sediments of four nitrogen-rich wetlands in China

With the rapid development of ammonia-synthesizing industry, the ammonia-nitrogen pollution in wetlands acting as the sink of point and diffuse pollution has been increased dramatically. Most of ammonia-nitrogen is oxidized at least once by ammonia-oxidizing prokaryotes to complete the nitrogen cycle. Current research findings have expanded the known ammonia-oxidizing prokaryotes from the domain Bacteria to Archaea. However, in the complex wetlands environment, it remains unclear whether ammonia oxidation is exclusively or predominantly linked to Archaea or Bacteria as implied by specific high abundance. In this research, the abundance and composition of Archaea and Bacteria in sediments of four kinds of wetlands with different nitrogen concentration were investigated by using quantitative real-time polymerase chain reaction, cloning, and sequencing approaches based on amoA genes. The results indicated that AOA distributed widely in wetland sediments, and the phylogenetic tree revealed that archaeal amoA functional gene sequences from wetlands sediments cluster as two major evolutionary branches: soil/sediment and sediment/water. The bacteria functionally dominated microbial ammonia oxidation in different wetlands sediments on the basis of molecule analysis, potential nitrification rate, and soil chemistry. Moreover, the factors influencing AOA and AOB abundances with environmental indicator were also analyzed, and the results addressed the copy numbers of archaeal and bacterial amoA functional gene having the higher correlation with pH and ammonia concentration. The pH had relatively great negative impact on the abundance of AOA and AOB, while ammonia concentration showed positive impact on AOB abundance only. These findings could be fundamental to improve understanding of the importance of AOB and AOA in nitrogen and other nutrients cycle in wetland ecosystems.     

Links between ammonia oxidizer community structure, abundance, and nitrification potential in acidic soils

Ammonia oxidation is the first and rate-limiting step of nitrification and is performed by both ammonia-oxidizing archaea (AOA) and bacteria (AOB). However, the environmental drivers controlling the abundance, composition, and activity of AOA and AOB communities are not well characterized, and the relative importance of these two groups in soil nitrification is still debated. Chinese tea orchard soils provide an excellent system for investigating the long-term effects of low pH and nitrogen fertilization strategies. AOA and AOB abundance and community composition were therefore investigated in tea soils and adjacent pine forest soils, using quantitative PCR (qPCR), terminal restriction fragment length polymorphism (T-RFLP) and sequence analysis of respective ammonia monooxygenase (amoA) genes. There was strong evidence that soil pH was an important factor controlling AOB but not AOA abundance, and the ratio of AOA to AOB amoA gene abundance increased with decreasing soil pH in the tea orchard soils. In contrast, T-RFLP analysis suggested that soil pH was a key explanatory variable for both AOA and AOB community structure, but a significant relationship between community abundance and nitrification potential was observed only for AOA. High potential nitrification rates indicated that nitrification was mainly driven by AOA in these acidic soils. Dominant AOA amoA sequences in the highly acidic tea soils were all placed within a specific clade, and one AOA genotype appears to be well adapted to growth in highly acidic soils. Specific AOA and AOB populations dominated in soils at particular pH values and N content, suggesting adaptation to specific niches.