西藏米拉山土壤古茵16S rRNA及amoA基因多样性分析

[目的]本研究旨在了解西藏米拉山高寒草甸土壤中古菌及氨氧化古菌群落结构组成情况.[方法]采用未培养技术直接从土壤中提取微生物总DNA,分别利用通用引物构建古菌16S rRNA基因和氨氧化古菌amoA基因克隆文库.利用DOTUR软件将古菌和氨氧化古菌序列按照相似性97%的标准分成若干个可操作分类单元(OTUs).[结果]通过构建系统发育树,表明古菌16s rRNA基因克隆文库包括泉古菌门和未分类的古菌两大类,并且所有泉古菌均属于热变形菌纲.氨氧化古菌amoA基因克隆文库中序列均为泉古菌.古菌16s rRNA基因和古菌amoA基因克隆文库分别包括64个OTUs和75个OTUs.[结论]西藏米拉山高寒草甸土壤中古菌多样性比较丰富,表明古菌在高寒草甸土壤的氮循环中可能具有重要的作用.     

闽江口芦苇沼泽湿地土壤产甲烷菌群落结构的垂直分布

应用PCR-RFLP技术及测序分析对闽江口芦苇湿地土壤产甲烷菌群落结构的垂直分布特征进行了研究。在构建的6个克隆文库中,每个克隆文库随机挑选100个克隆进行菌落PCR验证,共得到591个阳性克隆。PCR产物经限制性内切酶MspⅠ进行RFLP分析后得到37个不同的分类操作单元(OTUs)。对37个克隆子进行了序列测定,与GenBank数据库中的序列进行比对,最近相似性在91%—99%之间。RFLP分析和系统发育分析表明,闽江口芦苇湿地土壤中产甲烷菌群落包括3大类群:甲烷杆菌目(Methanobacteriales)、甲烷微菌目(Methanomirobiales)和甲烷八叠球菌目(Methanosarcinales)。不同土壤深度中产甲烷菌群落的分布呈现出不同的特征。土壤表层(0—10 cm)优势产甲烷菌类群为Methanoregula,约占76%;10—20 cm土层主要的产甲烷菌类群为Methanolinea和Methanoregula,分别约占23%和29%;20—30cm土层优势的产甲烷菌类群为Methanolinea,约占66%。Shannon指数(H’)和Simpson多样性指教(D)表明,10—20cm土层产甲烷菌多样性高于土壤表层(0—10 cm)和20—30 cm土层。37个测序OTUs中有26个OTUs属于不可培养的产甲烷菌序列,表明闽江口芦苇湿地土壤中存在大量不可培养的产甲烷菌。     

河西走廊酒泉地区盐碱土未培养放线菌多样性

采用免培养技术对河西走廊酒泉地区的原生盐碱土、次生盐碱土和农田土中的放线菌群落结构及其多样性进行分析.结果表明: 河西走廊酒泉地区原生盐碱土克隆文库分归于19个OTUs,分属于微球菌亚目、丙酸杆菌亚目、棒状杆菌亚目、弗兰克氏菌亚目、假诺卡氏菌亚目和放线菌目未知类群;次生盐碱土克隆文库分归于14个OTUs,分属于微球菌亚目、丙酸杆菌亚目和放线菌目未知类群;农田土克隆文库分归于7个OTUs,分属于微球菌亚目和棒状杆菌亚目;微球菌亚目是3种不同类型土壤中的共有种群,是原生盐碱土和农田土中的优势种群.多样性指数和稀释性曲线分析结果显示,3种不同类型土壤中放线菌种群丰富度为原生盐碱土>次生盐碱土>农田土;原生盐碱土、次生盐碱土的稀释性曲线均未趋于平稳,说明盐碱土中放线菌多样性比实际更加丰富.     

南美白对虾养殖底泥中氨氧化细菌与氨氧化古菌多态性分析

【目的】本研究皆在了解虾养殖底泥中氨氧化细菌与氨氧化古菌群落多态性。【方法】以功能基因为基础,构建氨氧化细菌(AOB)与氨氧化古菌(AOA)的氨单加氧酶α亚基基因(amoA)克隆文库。利用限制性片段长度多态性(Restriction Fragment Length Polymorphism,RFLP)技术将克隆文库阳性克隆子进行归类分析分成若干个可操作分类单元(Operational Taxa Units,OTUs)。【结果】通过序列多态性分析,表明AOB amoA基因克隆文库中所有序列都属于变形杆菌门β亚纲(β-Proteobacteria)中的亚硝化单细胞菌属(Nitrosomonas)及Nitrosomonas-like,未发现亚硝化螺旋菌属(Nitrosospira)。AOA amoA基因克隆文库中只有一个OTU序列属于未分类的古菌(Unclassified-Archaea),其余序列都属于泉古菌门(Crenarchaeote)。AOA群落结构单一且存在一个绝对优势类群OTU3,其克隆子数目占克隆文库的57.45%。AOB和AOA amoA基因克隆文库分别包括13个OTUs和9个OTUs,其文库覆盖率分别为73.47%和90.43%。AOB amoA基因克隆文库的Shannon-Wiener指数、Evenness指数、Simpson指数、Richness指数均高于AOA。【结论】虾养殖塘底泥中存在氨氧化古菌的amoA基因,且多态性低于氨氧化细菌,表明氨氧化古菌在虾养殖塘底泥的氮循环中可能具有重要的作用。     

青藏铁路沿线唐古拉山口土壤微生物的ARDRA分析

通过构建16S rDNA文库及文库的限制性片段长度多态性分析（ARDRA）,对青藏铁路沿线唐古拉山口的土壤微生物多样性进行了研究。采用限制性内切酶HaeIII和RsaI对克隆文库中的90个克隆子进行了酶切分型,根据ARDRA酶切图谱的不同,可将其分为23个OTUs。16SrDNA序列分析结果表明,该克隆文库中主要包括变形菌门（Proteobacteria）的alpha、beta、detla亚类、厚壁菌门（Firmicutes）、放线菌门（Actinobacteria）、拟杆菌门（Bacteroidetes）、酸杆菌门（Acidobacteria）及浮霉菌门（Planctomycetes）等8类细菌及未培养细菌。Alpha变形细菌为该文库中的主要菌群,占克隆总数的33.3%;其次为未培养细菌,占克隆总数的22.2%,Bradyrhizobium为优势菌属。研究结果揭示,青藏铁路唐古拉山口的土壤微生物种群不仅具有丰富的多样性,还存在丰富的潜在新菌种。     

若尔盖高原湿地土壤氨氧化古菌的多样性

【目的】研究自然界中氨氧化古菌(ammonia-oxidizing archaea,AOA)对于理解全球氮循环起着至关重要的作用,但人们对高原湿地AOA种群生态还知之甚少。本研究旨在了解若尔盖高原湿地土壤AOA群落组成及多样性。【方法】从若尔盖高原阿西(A'xi)、麦西(Maixi)和分区(Fenqu)3个典型牧区采集土壤样品,提取土壤总DNA,利用AOA氨单加氧酶(ammonia monooxygenase,amoA)基因通用引物扩增amoA基因,构建amoA基因克隆文库。从每个克隆文库中随机挑选80个阳性克隆子用于后续限制性酶切片段长度多态性(restriction fragment length polymorphism,RFLP)分析,挑选不同酶切类型的克隆子进行测序、比对,利用MEGA 5.0软件构建amoA基因系统发育树。【结果】从3个克隆文库共240个AOA amoA基因阳性克隆中得到15条代表序列,通过Mothur软件进行OTUs(operational taxonomic units)分类得到7个不同的分类单元。其中OTU 6为优势类群,在3个克隆文库均有发现,约占所有特异性克隆子的27%。15条amoA基因序列分属于Zoige Wetland Clade 1(4 OTUs)、Zoige Wetland Clade 2(2 OTUs)和Zoige Wetland Clade 3(1OTU)3个系统发育分支。BLAST分析显示所有OTUs均归于泉古菌门(Crenarchaeota)。相关性分析表明,若尔盖高原湿地AOA多样性指数与土壤铵态氮和硝态氮含量存在显著的相关性(P0.05)。【结论】若尔盖高原湿地中AOA多样性较低,均属于泉古菌,且与土壤中氨态氮和硝态氮密切相关。     

昆明盐矿古老岩盐沉积中的原核生物多样性

应用PCR-DGGE和rRNA分析法研究了昆明盐矿古老岩盐沉积中的原核生物多样性。样品的细菌DGGE分析得到27条带,古菌得到18条带。样品与纯培养得到的19个属菌株的DGGE图谱对比分析发现,细菌18个属菌株,只有1个属菌株与样品中的1条带迁移位置都不一致;古菌1个属的菌株不与样品中任何条带迁移位置一致。表明纯培养所得菌株并非该环境中的优势类群。同时,建立了样品细菌和古菌的16S rDNA克隆文库,从中分别挑取36个细菌克隆和20个古菌克隆进行ARDRA分析。细菌可分为10个OTUs,其中3个OTUs是优势类群,分别占38.9%,25.0%,16.7%,其余7个OTUs各含有1个克隆。古菌分为8个OTUs,没有明显的优势类群。每个OTU的代表克隆16S rDNA序列分析表明,细菌分属3大类群:α-Proteobacteria,γ-Proteobacteria和Actinobacteria,以Pseudomonas属菌为优势,含有其它岩盐沉积中没有发现的Actinobacteria。古菌主要是Halorubrum属、Haloterrigena属菌和未培养古菌。本研究表明,昆明盐矿古老岩盐沉积具有较丰富的原核生物多样性,含有大量未知的、未培养或不可培养的原核生物,但在原核生物物种组成和丰度上,免培养与此前的纯培养研究结果存在一定差异。因此,结合使用两类方法才能较全面地认识高盐极端环境微生物的多样性。     

利用小亚基核糖体RNA 技术分析温室黄瓜近根土壤古菌和真菌多样性

土壤古菌和真菌在温室生态系统是仅次于细菌的微生物,具有类似于细菌的重要生态功能。通过构建古菌16S rRNA和真菌18S rRNA基因克隆文库,分析温室黄瓜近根土壤古菌和真菌群落结构组成,为开发利用温室这一特殊的生态环境中丰富的微生物资源以及理解微生物与植物间的互作提供参考依据。采用研磨-冻融-溶菌酶-蛋白酶K-SDS热处理以及CTAB处理等理化方法,提取和纯化微生物总DNA,构建古菌16S rRNA和真菌18S rRNA基因克隆文库。利用DOTUR软件将古菌和真菌序列按照相似性97％的标准分成若干个可操作分类单元 (OTUs)。土壤古菌克隆文库主要包括泉古菌门和未分类的古菌两大类,并有少部分广域古菌类群,所有泉古菌均属于热变形菌纲,共45个OTUs;真菌克隆文库包括真菌门的大多数亚门真菌,共24个OTUs,未发现担子菌亚门真菌。古菌多样性比较丰富,且发现少量的广域古菌 (甲烷菌),这一情况可能与温室长期高温高湿,高有机质含量,土壤处于缺氧环境有关;土壤真菌的优势种群为子囊菌,占到土壤真菌的80％以上,这可能与绝大多数植物真菌性病害属于土传病害,通过菌丝体、菌核或子囊壳在土壤病残体中越冬有一定的关系。     

西藏米拉山土壤古菌16S rRNA及amoA基因多样性?分析

摘要：【目的】硝化作用在全球土壤氮循环中具有重要的作用,虽然细菌一度被认为单独负责催化这个过程的限速步骤,但是最近一些研究结果表明泉古菌具有氨氧化的能力。本文通过构建古菌16S rRNA 基因克隆文库和氨氧化古菌amoA基因文库,分析西藏米拉山高寒草甸土壤中古菌及氨氧化古菌群落结构组成情况,为揭示青藏高原高寒草甸土壤古菌的多样性提供理论基础。【方法】采用未培养技术直接从土壤中提取微生物总DNA,分别利用通用引物构建古菌16S rRNA 基因和氨氧化古菌amoA基因克隆文库。【结果】通过构建系统发育树,表明古菌16S rRNA 基因克隆文库包括泉古菌门和未分类的古菌两大类,并且所有泉古菌均属于热变形菌纲。氨氧化古菌amoA基因克隆文库中序列均为泉古菌。通过DOTUR软件分析,古菌16S rRNA基因和古菌amoA基因克隆文库分别包括64个OTUs和 75个OTUs。【结论】西藏米拉山高寒草甸土壤中古菌多样性比较丰富,表明古菌在高寒草甸土壤的氮循环中可能具有重要的作用。所获得的一些序列与已知环境中土壤、淡水及海洋沉积物中获得的一些序列具有很高的相似性,其古菌及氨氧化古菌来自不同环境的可能性比较大,可能与青藏高原的地质历史变迁过程有关。米拉山古菌及氨氧化古菌与陆地设施土壤中相似性最高,说明与西藏米拉山高寒草甸土壤的退化有关。     

蚯蚓吞食过程中土壤理化性质与放线菌多样性的变化特征

为探明土壤理化性质与放线菌多样性在蚯蚓吞食过程中的变化特征,将蚯蚓生活土壤、肠道内容物和蚓粪视作蚯蚓吞食前、中、后阶段的3种特殊生境土壤,采用纯培养法分离纯化3阶段中的放线菌;克隆文库法分析3阶段中的放线菌多样性;国标法测定吞食前、中、后土壤的基本理化性质;并利用主成分分析与相关性分析法分析土壤理化性质与放线菌多样性的相关性。结果显示:从生活土壤、肠道内容物和蚓粪中分别获得27株、15株和17株放线菌,形态、培养特征及16S rDNA序列鉴定生活土壤放线菌分为链霉菌属、拟诺卡氏菌属、束丝放线菌属,肠道内容物和蚓粪放线菌均属链霉菌属;放线菌多样性从生活土壤、蚓粪、肠道内容物依次递减。生活土壤文库含40个OTUs,分为11科,未知菌占24%,类诺卡氏菌科是优势菌群;肠道内容物文库含20个OTUs,分为6科,未知菌占3.3%,微杆菌科是优势菌群;蚓粪文库含30个OTUs,分为6科,未知菌占11.7%,链霉菌科是优势菌群。3种土壤全磷含量无显著差异,生活土壤其余理化含量均最低,肠道内容物速效氮含量最高,蚓粪的有机质、全氮、钾及有效磷、钾含量最高。主成分分析和相关性分析显示:蚯蚓吞食过程中,土壤有效磷、全氮、全钾、速效钾和有机质含量对放线菌多样性影响较大,其中全氮、有效磷与放线菌多样性显著负相关,相关系数分别为-0.998、-1,从而为明确蚯蚓、土壤与放线菌的相互关系提供了理论依据。     

Examining the global distribution of dominant archaeal populations in soil

Archaea, primarily Crenarchaeota, are common in soil; however, the structure of soil archaeal communities and the factors regulating their diversity and abundance remain poorly understood. Here, we used barcoded pyrosequencing to comprehensively survey archaeal and bacterial communities in 146 soils, representing a multitude of soil and ecosystem types from across the globe. Relative archaeal abundance, the percentage of all 16S rRNA gene sequences recovered that were archaeal, averaged 2% across all soils and ranged from 0% to >10% in individual soils. Soil C:N ratio was the only factor consistently correlated with archaeal relative abundances, being higher in soils with lower C:N ratios. Soil archaea communities were dominated by just two phylotypes from a constrained clade within the Crenarchaeota, which together accounted for >70% of all archaeal sequences obtained in the survey. As one of these phylotypes was closely related to a previously identified putative ammonia oxidizer, we sampled from two long-term nitrogen (N) addition experiments to determine if this taxon responds to experimental manipulations of N availability. Contrary to expectations, the abundance of this dominant taxon, as well as archaea overall, tended to decline with increasing N. This trend was coupled with a concurrent increase in known N-oxidizing bacteria, suggesting competitive interactions between these groups.     

杨树人工林根际古菌群落随细根生长的演变

研究细根不同生长时期根际土壤古菌群落组成结构差异,对深入了解林木细根与土壤微生物互作关系具有重要理论意义.依据细根表面颜色,采集杨树一级细根不同生长时期(白色新生根、黄色成熟根、褐色衰老根)根际土壤并提取微生物总DNA,采用特异性引物对古菌16S rDNA V4-V5区进行扩增,利用Illumina MiSeq平台进行古菌高通量测序分析.结果表明: 新生根和衰老根根际土壤古菌群落操作分类单元(OTU)丰富度相似,而成熟根根际土壤古菌群落OTU数量较少.新生根和成熟根根际土壤共同含有134个OTU;成熟根和衰老根根际土壤共同含有87个OTU,新生根和衰老根根际土壤共同拥有90个OTU.α多样性分析表明,成熟根根际土壤古菌群落Chao1指数和ACE指数显著低于新生根和衰老根根际土壤,而衰老根根际土壤古菌群落Simpson指数和Shannon指数显著低于新生根和成熟根根际土壤.PERMANOVA分析表明,新生根和衰老根根际土壤古菌群落组成有显著差异.物种注释显示,杨树根际土壤共包含12个古菌属,其中新生根5个、成熟根10个、衰老根6个.β多样性指数表明,杨树根际土壤古菌群落相似度随着细根的生长逐渐下降,不同生长阶段细根根际土壤的古菌群落结构有较大差异.其中,占绝对优势的古菌为氨氧化古菌Candidatus_Nitrososphaera,其相对丰度超过70%.且随细根生长发育,该类古菌在根际土壤中的丰度呈现上升趋势,表明其可能与细根的生长发育关系密切.     

A meta-analysis of the publicly available bacterial and archaeal sequence diversity in saline soils

An integrated view of bacterial and archaeal diversity in saline soil habitats is essential for understanding the biological and ecological processes and exploiting potential of microbial resources from such environments. This study examined the collective bacterial and archaeal diversity in saline soils using a meta-analysis approach. All available 16S rDNA sequences recovered from saline soils were retrieved from publicly available databases and subjected to phylogenetic and statistical analyses. A total of 9,043 bacterial and 1,039 archaeal sequences, each longer than 250 bp, were examined. The bacterial sequences were assigned into 5,784 operational taxonomic units (OTUs, based on ≥97 % sequence identity), representing 24 known bacterial phyla, with Proteobacteria (44.9 %), Actinobacteria (12.3 %), Firmicutes (10.4 %), Acidobacteria (9.0 %), Bacteroidetes (6.8 %), and Chloroflexi (5.9 %) being predominant. Lysobacter (12.8 %) was the dominant bacterial genus in saline soils, followed by Sphingomonas (4.5 %), Halomonas (2.5 %), and Gemmatimonas (2.5 %). Archaeal sequences were assigned to 602 OTUs, primarily from the phyla Euryarchaeota (88.7 %) and Crenarchaeota (11.3 %). Halorubrum and Thermofilum were the dominant archaeal genera in saline soils. Rarefaction analysis indicated that less than 25 % of bacterial diversity, and approximately 50 % of archaeal diversity, in saline soil habitats has been sampled. This analysis of the global bacterial and archaeal diversity in saline soil habitats can guide future studies to further examine the microbial diversity of saline soils.     

Seasonal changes in nitrogen-cycle gene abundances and in bacterial communities in acidic forest soils

The abundance of genes related to the nitrogen biogeochemical cycle and the microbial community in forest soils (bacteria, archaea, fungi) were quantitatively analyzed via real-time PCR using 11 sets of specific primers amplifying nifH, bacterial amoA, archaeal amoA, narG, nirS, nirK, norB, nosZ, bacterial 16S rRNA gene, archaeal 16S rRNA gene, and the ITS sequence of fungi. Soils were sampled from Bukhan Mountain from September of 2010 to July of 2011 (7 times). Bacteria were the predominant microbial community in all samples. However, the abundance of archaeal amoA was greater than bacterial amoA throughout the year. The abundances of nifH, nirS, nirK, and norB genes changed in a similar pattern, while narG and nosZ appeared in sensitive to the environmental changes. Clone libraries of bacterial 16S rRNA genes were constructed from summer and winter soil samples and these revealed that Acidobacteria was the most predominant phylum in acidic forest soil environments in both samples. Although a specific correlation of environmental factor and gene abundance was not verified by principle component analysis, our data suggested that the combination of biological, physical, and chemical characteristics of forest soils created distinct conditions favoring the nitrogen biogeochemical cycle and that bacterial communities in undisturbed acidic forest soils were quite stable during seasonal change.     

Diversity and distribution of ammonia-oxidizing Archaea in the seasonally frozen soils in Northeastern China

The genetic diversity and distribution of ammonia-oxidizing Archaea (AOA) in nine seasonally frozen soils sampled around the city of Harbin, China, is analyzed based on archaeal amoA gene. Soil samples are divided into four groups by its properties: fertilized/unfertilized mesic (well-balanced supply of moisture) soils and fertilized/unfertilized hydric (abundant of moisture) soils. Clone libraries based on AOA amoA gene polymerase chain reaction products are constructed, and the phylogenetic analysis at 5 % cutoff level shows that AOA members mainly belong to the soil/sediment lineage which includes four clusters, and very few archaeal amoA gene sequences fall into the marine lineage. The four groups of soils have different archaeal amoA gene assemblage, and the available nitrogen and organic carbon are significantly correlated with diversity indexes. The result shows that long-term artificial amendment such as fertilization and agriculture cultivation has an important impact on AOA community shift in terrestrial environment. Moisture may drive the shape of different AOA communities by changing the aerobic environment into anaerobic. Soil composition is another noticeable factor effect AOA community, which can help the shape of a special AOA community with only two species.     

Altitude ammonia-oxidizing bacteria and archaea in soils of Mount Everest

To determine the abundance and distribution of bacterial and archaeal ammonia oxidizers in alpine and permafrost soils, 12 soils at altitudes of 4000–6550 m above sea level (m a.s.l.) were collected from the northern slope of the Mount Everest (Tibetan Plateau), where the permanent snow line is at 5800–6000 m a.s.l. Communities were characterized by real-time PCR and clone sequencing by targeting on amo A genes, which putatively encode ammonia monooxygenase subunit A. Archaeal amo A abundance was greater than bacterial amo A abundance in lower altitude soils (≤5400 m a.s.l.), but this situation was reversed in higher altitude soils (≥5700 m a.s.l.). Both archaeal and bacterial amo A abundance decreased abruptly in higher altitude soils. Communities shifted from a Nitrosospira amo A cluster 3a-dominated ammonia-oxidizing bacteria community in lower altitude soils to communities dominated by a newly designated Nitrosospira ME and cluster 2-related groups and Nitrosomonas cluster 6 in higher altitude soils. All archaeal amo A sequences fell within soil and sediment clusters, and the proportions of the major archaeal amo A clusters changed between the lower altitude and the higher altitude soils. These findings imply that the shift in the relative abundance and community structure of archaeal and bacterial ammonia oxidizers may result from selection of organisms adapted to altitude-dependent environmental factors in elevated soils.     

Traditional cattle manure application determines abundance, diversity and activity of methanogenic Archaea in arable European soil

Based on lipid analyses, 16S rRNA/rRNA gene single-strand conformation polymorphism fingerprints and methane flux measurements, influences of the fertilization regime on abundance and diversity of archaeal communities were investigated in soil samples from the long-term (103 years) field trial in Bad Lauchst?dt, Germany. The investigated plots followed a gradient of increasing fertilization beginning at no fertilization and ending at the 'cattle manure' itself. The archaeal phospholipid etherlipid (PLEL) concentration was used as an indicator for archaeal biomass and increased with the gradient of increasing fertilization, whereby the concentrations determined for organically fertilized soils were well above previously reported values. Methane emission, although at a low level, were occasionally only observed in organically fertilized soils, whereas the other treatments showed significant methane uptake. Euryarchaeotal organisms were abundant in all investigated samples but 16S rRNA analysis also demonstrated the presence of Crenarchaeota in fertilized soils. Lowest molecular archaeal diversity was found in highest fertilized treatments. Archaea phylogenetically most closely related to cultured methanogens were abundant in these fertilized soils, whereas Archaea with low relatedness to cultured microorganisms dominated in non-fertilized soils. Relatives of Methanoculleus spp. were found almost exclusively in organically fertilized soils or cattle manure. Methanosarcina-related microorganisms were detected in all soils as well as in the cattle manure, but soils with highest organic application rate were specifically dominated by a close phylogenetic relative of Methanosarcina thermophila. Our findings suggest that regular application of cattle manure increased archaeal biomass, but reduced archaeal diversity and selected for methanogenic Methanoculleus and Methanosarcina strains, leading to the circumstance that high organic fertilized soils did not function as a methane sink at the investigated site anymore.     

Distribution and diversity of archaeal communities in selected Chinese soils

To understand the distribution and diversity of archaea in Chinese soils, the archaeal communities in a series of topsoils and soil profiles were investigated using quantitative PCR, T-RFLP combining sequencing methods. Archaeal 16S rRNA gene copy numbers, ranging from 4.96?×?10(6) to 1.30?×?10(8) copies?g(-1) dry soil, were positively correlated with soil pH, organic carbon and total nitrogen in the topsoils. In the soil profiles, archaeal abundance was positively correlated with soil pH but negatively with depth profile. The relative abundance of archaea in the prokaryotes (sum of bacteria and archaea) ranged from 0.20% to 9.26% and tended to increase along the depth profile. T-RFLP and phylogenetic analyses revealed that the structure of archaeal communities in cinnamon soils, brown soils, and fluvo-aquic soils was similar and dominated by Crenarchaeota group 1.1b and 1.1a. These were different from those in red soils, which were dominated by Crenarchaeota group 1.3 and 1.1c. Canonical correspondence analysis indicated that the archaeal community was primarily influenced by soil pH.     

Comparison of Archaeal Populations in Soil and Their Encapsulated Iron-Manganese Nodules in Four Locations Spanning from North to South China

To characterize the archaeal community composition in soil originating iron-manganese nodules, four types of soils—brown soil, yellow-cinnamon soil, yellow brown soil and red soil—and their associated iron-manganese nodules were collected from Queyu (QY), Zaoyang (ZY), Wuhan (WH) and Guiyang (GY), China, respectively, and subjected to quantitative polymerase chain reaction, cloning and sequencing analyses. The results showed that the archaeal 16S rRNA gene copy numbers in nodules, ranging between 3.59 × 10² and 4.17 × 10³ copies g^?1 dry nodule, were about 50–1000 times lower than those in their corresponding soils (1.87 × 10⁵ to 1.08 × 10⁶ copies g^?1 dry soil), correlating with the low organic matter in the nodules, while archaea accounted for a relatively higher proportion of total prokaryote in nodules than in soils. Community composition analysis suggested that the archaeal diversity in both soils and nodules were much lower than bacterial, but archaeal community structures were similar to each other among the soils and nodules from the same location but varied among four locations, converse to the previous observation that bacterial community shifted markedly between nodules and soils as the result of habitat filtering. The archaeal communities in both soils and nodules were predominated by Thaumarchaeota Group I.1b with the relative abundance ranging between 73.88 and 94.17%, except that Euryarchaeota dominated the archaeal community in one nodule sample (WHn) developed from lake sediment. The finding shed new light on the archaeal diversity and their ecophysiology in different habitats, and further supported the opinion that archaea are more adaptable to stress and unfavorable conditions.     

The Influence of Different Land Uses on the Structure of Archaeal Communities in Amazonian Anthrosols Based on 16S rRNA and amoA Genes

Soil from the Amazonian region is usually regarded as unsuitable for agriculture because of its low organic matter content and low pH; however, this region also contains extremely rich soil, the Terra Preta Anthrosol. A diverse archaeal community usually inhabits acidic soils, such as those found in the Amazon. Therefore, we hypothesized that this community should be sensitive to changes in the environment. Here, the archaeal community composition of Terra Preta and adjacent soil was examined in four different sites in the Brazilian Amazon under different anthropic activities. The canonical correspondence analysis of terminal restriction fragment length polymorphisms has shown that the archaeal community structure was mostly influenced by soil attributes that differentiate the Terra Preta from the adjacent soil (i.e., pH, sulfur, and organic matter). Archaeal 16S rRNA gene clone libraries indicated that the two most abundant genera in both soils were Candidatus nitrosphaera and Canditatus nitrosocaldus. An ammonia monoxygenase gene (amoA) clone library analysis indicated that, within each site, there was no significant difference between the clone libraries of Terra Preta and adjacent soils. However, these clone libraries indicated there were significant differences between sites. Quantitative PCR has shown that Terra Preta soils subjected to agriculture displayed a higher number of amoA gene copy numbers than in adjacent soils. On the other hand, soils that were not subjected to agriculture did not display significant differences on amoA gene copy numbers between Terra Preta and adjacent soils. Taken together, our findings indicate that the overall archaeal community structure in these Amazonian soils is determined by the soil type and the current land use.