Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness

Although copious qualitative information describes the members of the diverse microbial communities on Earth, statistical approaches for quantifying and comparing the numbers and compositions of lineages in communities are lacking. We present a method that addresses the challenge of assigning sequences to operational taxonomic units (OTUs) based on the genetic distances between sequences. We developed a computer program, DOTUR, which assigns sequences to OTUs by using either the furthest, average, or nearest neighbor algorithm for each distance level. DOTUR uses the frequency at which each OTU is observed to construct rarefaction and collector's curves for various measures of richness and diversity. We analyzed 16S rRNA gene libraries derived from Scottish and Amazonian soils and the Sargasso Sea with DOTUR, which assigned sequences to OTUs rapidly and reliably based on the genetic distances between sequences and identified previous inconsistencies and errors in assigning sequences to OTUs. An analysis of the two 16S rRNA gene libraries from soil demonstrated that they do not contain enough sequences to support a claim that they contain different numbers of bacterial lineages with statistical confidence (P > 0.05), nor do they contain enough sequences to provide a robust estimate of species richness when an OTU is defined as containing sequences that are no more than 3% different from each other. In contrast, the richness of OTUs at the 3% level in the Sargasso Sea collection began to plateau after the sampling of 690 sequences. We anticipate that an equivalent extent of sampling for soil would require sampling more than 10,000 sequences, almost 100 times the size of typical sequence collections obtained from soil.     

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。     

Toward a census of bacteria in soil

For more than a century, microbiologists have sought to determine the species richness of bacteria in soil, but the extreme complexity and unknown structure of soil microbial communities have obscured the answer. We developed a statistical model that makes the problem of estimating richness statistically accessible by evaluating the characteristics of samples drawn from simulated communities with parametric community distributions. We identified simulated communities with rank-abundance distributions that followed a truncated lognormal distribution whose samples resembled the structure of 16S rRNA gene sequence collections made using Alaskan and Minnesotan soils. The simulated communities constructed based on the distribution of 16S rRNA gene sequences sampled from the Alaskan and Minnesotan soils had a richness of 5,000 and 2,000 operational taxonomic units (OTUs), respectively, where an OTU represents a collection of sequences not more than 3% distant from each other. To sample each of these OTUs in the Alaskan 16S rRNA gene library at least twice, 480,000 sequences would be required; however, to estimate the richness of the simulated communities using nonparametric richness estimators would require only 18,000 sequences. Quantifying the richness of complex environments such as soil is an important step in building an ecological framework. We have shown that generating sufficient sequence data to do so requires less sequencing effort than completely sequencing a bacterial genome.     

Comparison of bacterial communities in the Solimões and Negro River tributaries of the Amazon River based on small subunit rRNA gene sequences

The microbiota of the Amazon River basin has been little studied. We compared the structure of bacterial communities of the Solim?es and Negro Rivers, the main Amazon River tributaries, based on analysis of 16S rRNA gene sequences. Water was sampled with a 3-L Van Dorn collection bottle; samples were collected at nine different points/depths totaling 27 L of water from each river. Total DNA was extracted from biomass retained by a 0.22-μm filter after sequential filtration of the water through 0.8- and 0.22-μm filters. The 16S rRNA gene was amplified by PCR, cloned and sequenced, and the sequences were analyzed with the PHYLIP and DOTUR programs to obtain the operational taxonomic units (OTUs) and to calculate the diversity and richness indices using the SPADE program. Taxonomic affiliation was determined using the naive Bayesian rRNA Classifier of the RDP II (Ribosomal Database Project). We recovered 158 sequences from the Solim?es River grouped into 103 OTUs, and 197 sequences from the Negro River library grouped into 90 OTUs by the DOTUR program. The Solim?es River was found to have a greater diversity of bacterial genera, and greater estimated richness of 446 OTUs, compared with 242 OTUs from the Negro River, as calculated by ACE estimator. The Negro River has less bacterial diversity, but more 16S rRNA gene sequences belonging to the bacterial genus Polynucleobacter were detected; 56 sequences from this genus were found (about 30% of the total sequences). We suggest that a more in-depth investigation be made to elucidate the role played by these bacteria in the river environment. These differences in bacterial diversity between Solim?es and Negro Rivers could be explained by differences in organic matter content and pH of the rivers.     

Distinct protistan assemblages characterize the euphotic zone and deep sea (2500 m) of the western North Atlantic (Sargasso Sea and Gulf Stream)

Protistan diversity was characterized at three locations in the western North Atlantic (Sargasso Sea and Gulf Stream) by sequencing 18S rRNA genes in samples from euphotic (< or = 125 m) and bathypelagic depths (2500 m). A total of 923 partial-length protistan sequences were analysed, revealing 324 distinct operational taxonomic units (OTUs) determined by an automated OTU-calling program set to 95% sequence similarity. Most OTUs were comprised of only one or two sequences suggesting a large but rare pool of protistan diversity. Many OTUs from both depth strata were associated with recently described novel alveolate and stramenopile lineages while many OTUs from the bathypelagic were affiliated with Acantharea, Polycystinea and Euglenozoa and were not observed in euphotic zone libraries. Protistan assemblages from the euphotic zone and the deep sea were largely composed of distinct OTUs; only 28 of the 324 protistan OTUs were detected in both shallow and deep sea clone libraries. The diversity of protistan assemblages in the deep sea was distinctly lower than the diversity of euphotic zone assemblages. Protistan assemblages from the Gulf Stream were the most diverse for either depth strata. Overall, protistan assemblages from different stations but comparable depths were more similar than the assemblages from different depths at the same station. These data suggest that particular groups of protistan OTUs formed distinct 'shallow' and 'deep-sea' assemblages across widely spaced oceanic locales.     

Evaluation of different partial 16S rRNA gene sequence regions for phylogenetic analysis of microbiomes

Operational taxonomic units (OTUs) are conventionally defined at a phylogenetic distance (0.03—species, 0.05—genus, 0.10—family) based on full-length 16S rRNA gene sequences. However, partial sequences (700 bp or shorter) have been used in most studies. This discord may affect analysis of diversity and species richness because sequence divergence is not distributed evenly along the 16S rRNA gene. In this study, we compared a set each of bacterial and archaeal 16S rRNA gene sequences of nearly full length with multiple sets of different partial 16S rRNA gene sequences derived therefrom (approximately 440-700 bp), at conventional and alternative distance levels. Our objective was to identify partial sequence region(s) and distance level(s) that allow more accurate phylogenetic analysis of partial 16S rRNA genes. Our results showed that no partial sequence region could estimate OTU richness or define OTUs as reliably as nearly full-length genes. However, the V1-V4 regions can provide more accurate estimates than others. For analysis of archaea, we recommend the V1-V3 and the V4-V7 regions and clustering of species-level OTUs at 0.03 and 0.02 distances, respectively. For analysis of bacteria, the V1-V3 and the V1-V4 regions should be targeted, with species-level OTUs being clustered at 0.04 distance in both cases.     

Statistical approaches for estimating actinobacterial diversity in marine sediments

Bacterial diversity in a deep-sea sediment was investigated by constructing actinobacterium-specific 16S ribosomal DNA (rDNA) clone libraries from sediment sections taken 5 to 12, 15 to 18, and 43 to 46 cm below the sea floor at a depth of 3,814 m. Clones were placed into operational taxonomic unit (OTU) groups with >/= 99% 16S rDNA sequence similarity; the cutoff value for an OTU was derived by comparing 16S rRNA homology with DNA-DNA reassociation values for members of the class Actinobacteria. Diversity statistics were used to determine how the level of dominance, species richness, and genetic diversity varied with sediment depth. The reciprocal of Simpson's index (1/D) indicated that the pattern of diversity shifted toward dominance from uniformity with increasing sediment depth. Nonparametric estimation of the species richness in the 5- to 12-, 15- to 18-, and 43- to 46-cm sediment sections revealed a trend of decreasing species number with depth, 1,406, 308, and 212 OTUs, respectively. Application of the LIBSHUFF program indicated that the 5- to 12-cm clone library was composed of OTUs significantly (P = 0.001) different from those of the 15- to 18- and 43- to 46-cm libraries. F(ST) and phylogenetic grouping of taxa (P tests) were both significant (P < 0.00001 and P < 0.001, respectively), indicating that genetic diversity decreased with sediment depth and that each sediment community harbored unique phylogenetic lineages. It was also shown that even nonconservative OTU definitions result in severe underestimation of species richness; unique phylogenetic clades detected in one OTU group suggest that OTUs do not correspond to real ecological groups sensu Palys (T. Palys, L. K. Nakamura, and F. M. Cohan, Int. J. Syst. Bacteriol. 47:1145-1156, 1997). Mechanisms responsible for diversity and their implications are discussed.     

Bacterial diversity at different depths in lead-zinc mine tailings as revealed by 16S rRNA gene libraries

Bacterial communities at 10 cm, 100 cm, and 200 cm depths in a 100-year-old lead-zinc tailing heap were evaluated by constructing 16S rRNA gene libraries. In total, 98 operational taxonomic units (OTUs) were identified from 193 clones at a 3% sequence difference level. The OTU number and species richness decreased with the depth. Species composition was significantly different between the three libraries. Fifty-seven percent of the examined clones were Acidobacteria and 27% belonged to Proteobacteria. Other sequences included Chloroflexi, Firmicutes, Chlamydiae, Actinobacteria, Gemmatimonadetes, Nitrospira, and three unclassified OTUs. Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Firmicutes, and Actinobacteria were mainly distributed in the rhizosphere of naturally colonizing plants; however, Deltaproteobacteria, Acidobacteria, and Chloroflexi tended to inhabit the deeper tailings (below the 100 cm-depth).     

Divergence thresholds and divergent biodiversity estimates: can metabarcoding reliably describe zooplankton communities?

DNA metabarcoding is a promising method for describing communities and estimating biodiversity. This approach uses high‐throughput sequencing of targeted markers to identify species in a complex sample. By convention, sequences are clustered at a predefined sequence divergence threshold (often 3%) into operational taxonomic units (OTUs) that serve as a proxy for species. However, variable levels of interspecific marker variation across taxonomic groups make clustering sequences from a phylogenetically diverse dataset into OTUs at a uniform threshold problematic. In this study, we use mock zooplankton communities to evaluate the accuracy of species richness estimates when following conventional protocols to cluster hypervariable sequences of the V4 region of the small subunit ribosomal RNA gene (18S) into OTUs. By including individually tagged single specimens and “populations” of various species in our communities, we examine the impact of intra‐ and interspecific diversity on OTU clustering. Communities consisting of single individuals per species generated a correspondence of 59–84% between OTU number and species richness at a 3% divergence threshold. However, when multiple individuals per species were included, the correspondence between OTU number and species richness dropped to 31–63%. Our results suggest that intraspecific variation in this marker can often exceed 3%, such that a single species does not always correspond to one OTU. We advocate the need to apply group‐specific divergence thresholds when analyzing complex and taxonomically diverse communities, but also encourage the development of additional filtering steps that allow identification of artifactual rRNA gene sequences or pseudogenes that may generate spurious OTUs.     

Characterization of Soil Bacterial Communities in Rhizospheric and Nonrhizospheric Soil of Panax ginseng

A culture-independent approach was used to evaluate the bacterial community in rhizospheric and nonrhizospheric soil in which Panax ginseng had grown for 3?years. For each sample, soil was randomly collected from multiple sampling points and mixed thoroughly before genomic DNA extraction. Universal primers 27f and 1492r were used to amplify 16S rRNA genes. Clone libraries were constructed using the amplified 16S rRNA genes, and 192 white clones were chosen for further sequencing. After digestion with restriction endonuclease, 44 operational taxonomic units (OTUs) were generated for rhizospheric and 21 OTUs for nonrhizospheric soils, and the clones of each OTU were sequenced. Blast analysis showed that bacillus, acidobacteria, and proteobacteria were the dominant populations in rhizospheric soil, and proteobacteria were dominant in nonrhizospheric soil. Phylogenetic results showed that bacillus and acidobacteria were clustered into the group of uncultured bacteria in rhizospheric soil; however, proteobacteria were the unique dominant in nonrhizospheric soil.     

PCR biases distort bacterial and archaeal community structure in pyrosequencing datasets

As 16S rRNA gene targeted massively parallel sequencing has become a common tool for microbial diversity investigations, numerous advances have been made to minimize the influence of sequencing and chimeric PCR artifacts through rigorous quality control measures. However, there has been little effort towards understanding the effect of multi-template PCR biases on microbial community structure. In this study, we used three bacterial and three archaeal mock communities consisting of, respectively, 33 bacterial and 24 archaeal 16S rRNA gene sequences combined in different proportions to compare the influences of (1) sequencing depth, (2) sequencing artifacts (sequencing errors and chimeric PCR artifacts), and (3) biases in multi-template PCR, towards the interpretation of community structure in pyrosequencing datasets. We also assessed the influence of each of these three variables on α- and β-diversity metrics that rely on the number of OTUs alone (richness) and those that include both membership and the relative abundance of detected OTUs (diversity). As part of this study, we redesigned bacterial and archaeal primer sets that target the V3-V5 region of the 16S rRNA gene, along with multiplexing barcodes, to permit simultaneous sequencing of PCR products from the two domains. We conclude that the benefits of deeper sequencing efforts extend beyond greater OTU detection and result in higher precision in β-diversity analyses by reducing the variability between replicate libraries, despite the presence of more sequencing artifacts. Additionally, spurious OTUs resulting from sequencing errors have a significant impact on richness or shared-richness based α- and β-diversity metrics, whereas metrics that utilize community structure (including both richness and relative abundance of OTUs) are minimally affected by spurious OTUs. However, the greatest obstacle towards accurately evaluating community structure are the errors in estimated mean relative abundance of each detected OTU due to biases associated with multi-template PCR reactions.     

A Comparison of Methods for Clustering 16S rRNA Sequences into OTUs

Recent studies of 16S rRNA sequences through next-generation sequencing have revolutionized our understanding of the microbial community composition and structure. One common approach in using these data to explore the genetic diversity in a microbial community is to cluster the 16S rRNA sequences into Operational Taxonomic Units (OTUs) based on sequence similarities. The inferred OTUs can then be used to estimate species, diversity, composition, and richness. Although a number of methods have been developed and commonly used to cluster the sequences into OTUs, relatively little guidance is available on their relative performance and the choice of key parameters for each method. In this study, we conducted a comprehensive evaluation of ten existing OTU inference methods. We found that the appropriate dissimilarity value for defining distinct OTUs is not only related with a specific method but also related with the sample complexity. For data sets with low complexity, all the algorithms need a higher dissimilarity threshold to define OTUs. Some methods, such as, CROP and SLP, are more robust to the specific choice of the threshold than other methods, especially for shorter reads. For high-complexity data sets, hierarchical cluster methods need a more strict dissimilarity threshold to define OTUs because the commonly used dissimilarity threshold of 3% often leads to an under-estimation of the number of OTUs. In general, hierarchical clustering methods perform better at lower dissimilarity thresholds. Our results show that sequence abundance plays an important role in OTU inference. We conclude that care is needed to choose both a threshold for dissimilarity and abundance for OTU inference.     

Synthetic Statistical Approach Reveals a High Degree of Richness of Microbial Eukaryotes in an Anoxic Water Column

Molecular surveys suggest that communities of microbial eukaryotes are remarkably rich, because even large clone libraries seem to capture only a minority of species. This provides a qualitative picture of protistan richness but does not measure its real extent either locally or globally. Statistical analysis can estimate a community's richness, but the specific methods used to date are not always well grounded in statistical theory. Here we study a large protistan molecular survey from an anoxic water column in the Cariaco Basin (Caribbean Sea). We group individual 18S rRNA gene sequences into operational taxonomic units (OTUs) using different cutoff values for sequence similarity (99 to 50%) and systematically apply parametric models and nonparametric estimators to the OTU frequency data to estimate the total protistan diversity. The parametric models provided statistically sound estimates of protistan richness, with biologically meaningful standard errors, maximal data usage, and extensive model diagnostics and were preferable to the available nonparametric tools. Our clone library exceeded 700 clones but still covered only a minority of species and less than half of the larger protistan clades. Our estimates of total protistan richness portray the target community as very rich at all OTU levels, with hundreds of different populations apparently co-occurring in the small (3-liter) volume of our sample, as well as dozens of clades of the highest taxonomic order. These estimates are among the first for microbial eukaryotes that are obtained using state-of-the-art statistical methods and can serve as benchmark numbers for the local diversity of protists.     

Synthetic statistical approach reveals a high degree of richness of microbial eukaryotes in an anoxic water column

Molecular surveys suggest that communities of microbial eukaryotes are remarkably rich, because even large clone libraries seem to capture only a minority of species. This provides a qualitative picture of protistan richness but does not measure its real extent either locally or globally. Statistical analysis can estimate a community's richness, but the specific methods used to date are not always well grounded in statistical theory. Here we study a large protistan molecular survey from an anoxic water column in the Cariaco Basin (Caribbean Sea). We group individual 18S rRNA gene sequences into operational taxonomic units (OTUs) using different cutoff values for sequence similarity (99 to 50%) and systematically apply parametric models and nonparametric estimators to the OTU frequency data to estimate the total protistan diversity. The parametric models provided statistically sound estimates of protistan richness, with biologically meaningful standard errors, maximal data usage, and extensive model diagnostics and were preferable to the available nonparametric tools. Our clone library exceeded 700 clones but still covered only a minority of species and less than half of the larger protistan clades. Our estimates of total protistan richness portray the target community as very rich at all OTU levels, with hundreds of different populations apparently co-occurring in the small (3-liter) volume of our sample, as well as dozens of clades of the highest taxonomic order. These estimates are among the first for microbial eukaryotes that are obtained using state-of-the-art statistical methods and can serve as benchmark numbers for the local diversity of protists.     

浑善达克沙地夏冬季浅色型生物土壤结皮中古菌的系统发育多样性

【目的】生物土壤结皮(Biological soil crusts,BSCs)对于遏制土壤荒漠化、恢复荒漠地区生态环境起着重要作用。BSCs形成和发展的关键角色是微生物。但关于BSCs中微生物组成的认识还不够全面和系统,特别是对其中的古菌鲜有研究报道。【方法】通过构建和分析古菌16S rRNA基因克隆文库,揭示浑善达克沙地BSCs中古菌多样性和系统发育类型组成,并比较它们夏季和冬季的变化。【结果】BSCs样品颜色为褐色,厚度较薄,所含氮和磷营养养分不高;8月份和11月份的BSCs古菌16S rRNA基因文库覆盖度均达95%以上,代表性强;两个文库共得到可用的142条古菌16S rRNA基因序列,以0.03为Cutoff值、这些序列分入10个OTUs中,两个季节的最优势种群相同;8月份和11月份的古菌均属于奇古菌门,但群落结构存在很大的不同,即各自所独有的种群分别有1个和4个;BSCs中古菌多样性均不高,但11月份的明显高于8月份的。【结论】温带沙地浅色型BSCs中古菌的主要为奇古菌、多样性低,其群落结构随季节变换而有较大变化。本研究为系统认识BSCs古菌的多样性及其生态作用提供了基础。     

Quantitatively evaluating mistaken clone assignments by RFLP analysis of 16S rRNA genes: a case study

We quantitatively evaluated the errors of clone assignment based on the restriction fragment length polymorphism (RFLP) pattern of 16S rRNA genes. Eighty clones were randomly selected from a 16S rRNA gene library and were categorized into 35 operational taxonomic units (OTU) based on their indistinguishable enzyme restriction patterns of 3 tetrameric restriction enzymes RsaI, BsuRI, and HinfI. All of these clones were then sequenced and were reassigned into 36-53 OTUs using the DOTUR program when sequence similarities of 95%-100% were used. The number of the identically assigned clones ranged from 53 to 61 and the percentage varied from 66.3% to 76.3%. The Shannon-Weaver index for the bacterial community observed by RFLP analysis was 2.75, equal to that estimated by DOTUR at a 97% sequence similarity. Compared with clones assigned with the DOTUR program at a 97% sequence similarity, only 61 clones (76.3%) were correctly assigned by RFLP analysis. Six clones (7.5%) were assigned mistakenly at the phylum level, and the positions of 13 clones (16.2%) were phylogenetically different at a lower taxonomic rank.     

Methanogen diversity and community composition in peatlands of the central to northern Appalachian Mountain region, North America

Methanogenic archaea are ubiquitous in peat soils; however, their diversity and distributions within and among peatland ecosystems are not well known. We used comprehensive clone libraries of 16S rRNA gene sequences to investigate spatial patterns in diversity (richness, evenness of taxa) and composition (taxonomic, phylogenetic) of the methanogenic community in six peatlands arrayed 775?km from eastern Ontario, Canada to West Virginia, USA. Five sites were Sphagnum (moss) and shrub dominated; one site was sedge dominated; and, potential rates of methane (CH₄) production ranged from 15 to 450?nmol/g?day. The gradient allowed us to examine influences of site conditions, site history, and climate on community composition. The region had representatives of methanogens from four taxonomic orders. We observed 29 operationally defined units (OTUs) based on >97% sequence identity. One OTU accounted for 43% of all clones, whereas 15 OTUs were rare with <1% of the total number of clones. The number of OTUs per site ranged from 4 to 21, and statistical analysis suggested diversity of 4–43 per site. Eighteen of the OTUs were endemic to one site; albeit, most endemics occurred in the sedge dominated site. One OTU was cosmopolitan, occurring in all six sites. We found a positive relationship between methanogen diversity and rates of CH₄ production per site (Pearson r?=?0.93). Turnover in community composition between sites was weakly related to geographic distance between sites, whereas variation in soil pH and annual temperature played larger roles. About 50% of the variation in community composition was unexplained by distance, pH, mean climate, and site age. We conclude that methanogen diversity in peatlands of the central Appalachian region is shaped by present-day environmental conditions, suggesting an influence of impending climatic and environmental changes.     

Biogeography of pelagic bacterioplankton across an antagonistic temperature-salinity gradient in the Red Sea

The Red Sea is a unique marine ecosystem with contrasting gradients of temperature and salinity along its north-to-south axis. It is an extremely oligotrophic environment that is characterized by perpetual year-round water column stratification, high annual solar irradiation, and negligible riverine and precipitation inputs. In this study, we investigated whether the contemporary environmental conditions shape community assemblages by pyrosequencing 16S rRNA genes of bacteria in surface water samples collected from the northeastern half of this water body. A combined total of 1855 operational taxonomic units (OTUs) were recovered from the 'small-cell' and 'large-cell' fractions. Here, a few major OTUs affiliated with Cyanobacteria and Proteobacteria accounted for ～93% of all sequences, whereas a tail of 'rare' OTUs represented most of the diversity. OTUs allied to Surface 1a/b SAR11 clades and Prochlorococcus related to the high-light-adapted (HL2) ecotype were the most widespread and predominant sequence types. Interestingly, the frequency of taxa that are typically found in the upper mesopelagic zone was significantly elevated in the northern transects compared with those in the central, presumably as a direct effect of deep convective mixing in the Gulf of Aqaba and water exchange with the northern Red Sea. Although temperature was the best predictor of species richness across all major lineages, both spatial and environmental distances correlated strongly with phylogenetic distances. Our results suggest that the bacterial diversity of the Red Sea is as high as in other tropical seas and provide evidence for fundamental differences in the biogeography of pelagic communities between the northern and central regions.     

A few cosmopolitan phylotypes dominate planktonic archaeal assemblages in widely different oceanic provinces

We compared the phylogenetic compositions of marine planktonic archaeal populations in different marine provinces. Samples from eight different environments were collected at two depths (surface and aphotic zone), and 16 genetic libraries of PCR-amplified archaeal 16S rRNA genes were constructed. The libraries were analyzed by using a three-step hierarchical approach. Membrane hybridization experiments revealed that most of the archaeal clones were affiliated with one of the two groups of marine archaea described previously, crenarchaeotal group I and euryarchaeotal group II. One of the 2,328 ribosomal DNA clones analyzed was related to a different euryarchaeal lineage, which was recently recovered from deep-water marine plankton. In temperate regions (Pacific Ocean, Atlantic Ocean, and Mediterranean Sea) both major groups were found at the two depths investigated; group II predominated at the surface, and group I predominated at depth. In Antarctic and subantarctic waters group II was practically absent. The clonal compositions of archaeal libraries were investigated by performing a restriction fragment length polymorphism (RFLP) analysis with two tetrameric restriction enzymes, which defined discrete operational taxonomic units (OTUs). The OTUs defined in this way were phylogenetically consistent; clones belonging to the same OTU were closely related. The clonal diversity as determined by the RFLP analysis was low, and most libraries were dominated by only one or two OTUs. Some OTUs were found in samples obtained from very distant places, indicating that some phylotypes were ubiquitous. A tree containing one example of each OTU detected was constructed, and this tree revealed that there were several clusters within archaeal group I and group II. The members of some of these clusters had different depth distributions.     

南海深海沉积物放线菌多样性分析

【目的】免培养和纯培养相结合分析南海深海沉积物放线菌多样性。【方法】免培养方法通过提取沉积物宏基因组DNA,利用放线菌门特异性引物扩增放线菌16S r RNA基因序列,构建放线菌16S r RNA基因克隆文库,文库经RFLP(Restriction fragment length polymorphism)分析后挑选代表序列测序并进行多样性指数分析和系统发育分析。可培养方法利用8种培养基进行菌株分离,对排重后的菌株进行16S r RNA基因序列多样性分析。【结果】构建的两个深海位点的16S r RNA基因克隆文库在放线菌门的放线菌纲(Actinobacteria)、酸微菌纲(Acidimicrobiia)、腈基降解菌纲(Nitriliruptoria)和嗜热油菌纲(Thermoleophilia)4个纲中均有分布;两个位点中的种群结构有差异,N40-4位点的优势种群是放线菌纲的链霉菌目(Streptomycetales);N63-4位点的优势种群是腈基降解菌纲的腈基降解菌目(Nitriliruptorales)。8种培养基共分离出41株放线菌,根据形态特征排重后得到的19株菌分布于10个不同的属,12个不同的种,其中稀有放线菌属比例较高,菌株OAct400为潜在的微杆菌属(Microbacterium)新种。【结论】南海深海沉积物蕴含着丰富的放线菌物种资源及大量未知种群,具有进一步研究的价值。