Genomic suppression subtractive hybridization as a tool to identify differences in mycorrhizal fungal genomes

Understanding the ecology of methanogens in natural and engineered environments is a prerequisite to predicting or managing methane emissions. In this study, a novel high-throughput fingerprint method was developed for determining methanogen diversity and relative abundance within environmental samples. The method described here, designated amplicon length heterogeneity PCR of the mcrA gene (LH-mcrA), is based on the natural length variation in the mcrA gene. The mcrA gene encodes the alpha-subunit of the methyl-coenzyme M reductase, which is involved in the terminal step of methane production by methanogens. The methanogenic communities from stored swine and dairy manures were distinct from each other. To validate the method, methanogenic communities in a plug flow-type bioreactor (PFBR) treating swine manure were characterized using LH-mcrA method and correlated to mcrA gene clone libraries. The diversity and relative abundance of the methanogenic groups were assessed. Methanobrevibacter, Methanosarcinaceae, Methanoculleus, Methanogenium, Methanocorpusculum and one unidentified group were assigned to particular LH-mcrA amplicons. Particular phylotypes related to Methanoculleus were predominant in the last compartment of the PFBR where the bulk of methane was produced. LH-mcrA method was found to be a reliable, fast and cost-effective alternative for diversity assessment of methanogenic communities in microbial systems.     

Phylogenetic characterization of methanogenic assemblages in eutrophic and oligotrophic areas of the Florida Everglades

Agricultural activities have produced well-documented changes in the Florida Everglades, including establishment of a gradient in phosphorus concentrations in Water Conservation Area 2A (WCA-2A) of the northern Everglades. An effect of increased phosphorus concentrations is increased methanogenesis in the eutrophic regions compared to the oligotrophic regions of WCA-2A. The goal of this study was to identify relationships between eutrophication and composition and activity of methanogenic assemblages in WCA-2A soils. Distributions of two genes associated with methanogens were characterized in soils taken from WCA-2A: the archaeal 16S rRNA gene and the methyl coenzyme M reductase gene. The richness of methanogen phylotypes was greater in eutrophic than in oligotrophic sites, and sequences related to previously cultivated and uncultivated methanogens were found. A preferential selection for the order Methanomicrobiales was observed in mcrA clone libraries, suggesting primer bias for this group. A greater diversity within the Methanomicrobiales was observed in mcrA clone libraries than in 16S rRNA gene libraries. 16S rRNA phylogenetic analyses revealed a dominance of clones related to Methanosaeta spp., an acetoclastic methanogen dominant in environments with low acetate concentrations. A significant number of clones were related to Methanomicrobiales, an order characterized by species utilizing hydrogen and formate as methanogenic substrates. No representatives of the orders Methanobacteriales and Methanococcales were found in any 16S rRNA clone library, although some Methanobacteriales were found in mcrA libraries. Hydrogenotrophs are the dominant methanogens in WCA-2A, and acetoclastic methanogen genotypes that proliferate in low acetate concentrations outnumber those that typically dominate in higher acetate concentrations.     

自然湿地土壤产甲烷菌和甲烷氧化菌多样性的分子检测

自然湿地是CH4排放的重要来源之一。产甲烷菌和甲烷氧化菌是介导自然湿地甲烷循环的重要功能菌群。开展产甲烷菌和甲烷氧化菌多样性的检测研究有助于揭示微生物介导的甲烷循环以及自然湿地甲烷排放的时空异质性。传统基于培养的检测方法已被证实无法充分描述产甲烷菌和甲烷氧化菌的多样性,而分子检测方法为自然湿地土壤产甲烷菌和甲烷氧化菌的多样性检测提供了一种更准确和科学的工具。本文综述了自然湿地土壤产甲烷菌和甲烷氧化菌的定性和定量分子检测方法,包括末端限制性片段长度多态性（T-RFLP）、变性梯度凝胶电泳（DGGE）、荧光原位杂交（FISH）和实时定量PCR（real-time qPCR）,重点分析了分子检测中两类重要的标记基因,总结了不同类型自然湿地产甲烷菌和甲烷氧化菌群落多样性的最新成果,提出了我国在该领域今后应深入研究探讨的一些问题及建议。     

The impact of aridification and vegetation type on changes in the community structure of methane-cycling microorganisms in Japanese wetland soils

Over the years, the wetlands covered by Sphagnum in Bibai, Japan have been turning into areas of aridity, resulting in an invasion of Sasa into the bogs. Yet little is known about the methane-cycling microorganisms in such environments. In this study, the methanotrophic, methanogenic, and archaeal community structures within these two types of wetland vegetation were studied by phylogenetic analysis targeting particulate methane monooxygenase (pmoA), methyl coenzyme M reductase (mcrA), and the archaeal 16S rRNA gene. The pmoA library indicated that Methylomonas and Methylocystis predominated in the Sphagnum-covered and Sasa-invaded areas, respectively. The mcrA and 16S rRNA libraries indicated that Methanoregula were abundant methanogens in the Sphagnum-covered area. In the Sasa-invaded area, by contrast, mcrA genes were not detected, and no 16S rRNA clones were affiliated with previously known methanogens. Because the Sasa-invaded area still produced methane, of the various uncultured populations detected, novel euryarchaeotal lineages are candidate methane producers.     

Endophytic Fusarium verticillioides reduces disease severity caused by Ustilago maydis on maize

Uncultured archaeal anaerobic methanotrophs (ANMEs) are known to operate the anaerobic oxidation of methane process, an important sink for the greenhouse gas methane in natural environments. In this study, we designed 16S rRNA gene-specific primers for each of the phylogenetic groups of ANMEs (ANME-1, Guaymas Basin hydrothermal sediment clones group within the ANME-1, ANME-2a, ANME-2b, ANME-2c and ANME-3) based on previously reported sequences. The newly designed primers were used for the detection of the various groups of ANMEs in the sulphate-limited anaerobic environmental samples, i.e. methanogenic sludges, rice field soils, lotus field sediments and natural gas fields. The ANME 16S rRNA gene sequences were detected only in a natural gas field sample among the environments examined in this study and were of the ANME-1 and -2c groups. In addition, the quantitative real-time PCR analysis using the designed primers showed that abundances of ANME-1 and -2c were estimated to be <0.02% of the total prokaryotic 16S rRNA gene community. The newly designed ANME group-specific primers in this study may be useful to survey the distribution and quantitative determination of ANMEs.     

Molecular assessment of complex microbial communities degrading long chain fatty acids in methanogenic bioreactors

Microbial diversity of anaerobic sludge after extended contact with long chain fatty acids (LCFA) was studied using molecular approaches. Samples containing high amounts of accumulated LCFA were obtained after continuous loading of two bioreactors with oleate or with palmitate. These sludge samples were then incubated in batch assays to allow degradation of the biomass-associated LCFA. In addition, sludge used as inoculum for the reactors was also characterized. Predominant phylotypes of the different samples were monitored using denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rRNA gene fragments. Fingerprinting analysis showed changes in bacterial and archaeal communities during LCFA accumulation and degradation. Full-length 16S rRNA gene sequences of 22 clones, representing the predominant bacteria and archaea, were determined. Most bacterial clones (80%) clustered within the Clostridiaceae. Two major groups of methanogens were identified: hydrogen- and formate-utilizing organisms, closely related to Methanobacterium, and acetoclastic organisms closely related to Methanosaeta and Methanosarcina. Quantification by FISH and real-time PCR showed that the relative abundance of archaea increased during degradation of biomass-accumulated LCFA. These results provide insight into the importance and dynamics of balanced communities of bacteria and methanogens in LCFA-accumulation/degradation cycles.     

Use of real-time PCR for group-specific quantification of aceticlastic methanogens in anaerobic processes: population dynamics and community structures

The TaqMan quantitative PCR (QPCR) method was used to detect and quantify the 16S rRNA genes of aceticlastic methanogens at different taxonomic levels. Three different sets of primers coupled with a TaqMan probe for QPCR assays to detect the 16S rRNA genes of the order Methanosarcinales, as well as the families Methanosarcinaceae and Methanosaetaceae, were separately used. Using these primer and probe sets, the 16S rRNA genes of aceticlastic methanogens in samples from various anaerobic processes (i.e., nine pure cultures, batch experiment, and three different continuous processes including a full-scale digester), were monitored and quantified by QPCR assays. A batch experiment cultivating a mixture of aceticlastic methanogens, was conducted to monitor their population dynamics. Using this group-specific quantification method, the dynamics of a competition between two aceticlastic populations, as modulated by the acetate concentration, could well be described. The target 16S rRNA genes in environmental samples, collected from three different anaerobic processes treating sludge, cheese whey, and synthetic wastewaters, were additionally quantified. The quantified 16S rRNA gene concentrations for all samples successfully represented the community structures of the target methanogens, which were correlated accurately with the operational parameters of the anaerobic processes. It was also successful to demonstrate probe nesting of aceticlastic methanogens at the levels of order and family.     

Niche Separation of Methanotrophic Archaea (ANME-1 and -2) in Methane-Seep Sediments of the Eastern Japan Sea Offshore Joetsu

In this study, we investigated the diversity and spatial distribution of anaerobic methanotrophic archaea (ANMEs) in sediments of a gas hydrate field off Joetsu in the Japan Sea. Distribution of ANMEs in sediments was identified by targeting the gene for methyl coenzyme M reductase alpha subunit (mcrA), a phylogenetically conserved gene that occurs uniquely in methanotrophic and methanogenic archaea, in addition to 16S rRNA genes. Quantitative PCR analyses of mcrA genes in 14 piston core samples suggested that members of ANME-1 group would dominate AOM communities in sulfate-depleted sediments, even below the sulfate-methane interface, while ANME-2 archaea would prefer to populate in shallower sediments containing comparatively higher sulfate concentrations. These results suggest that, although the potential electron acceptors in sulfate-depleted habitats remain elusive, the niche separation of ANME-1 and -2 may be controlled by in situ concentration of sulfate and the availability in sediments.     

McrA and 16S rRNA gene analysis suggests a novel lineage of Archaea phylogenetically affiliated with Thermoplasmatales in human subgingival plaque

Based on the molecular analysis of human subgingival plaque samples from 30 periodontitis patients a novel lineage of Archaea within the phylogenetic radiation of Thermoplasmatales was identified in 10% of cases. Co-occurrence of unique 16S rRNA gene and mcrA gene sequences suggests that this lineage corresponds to a hitherto unknown group of methanogens.     

Investigation of the methanogen population structure and activity in a brackish lake sediment

The methanogen community in sediment from the edge of a small brackish lake connected to the Beaulieu Estuary (Hampshire, UK) was investigated by analysis of 16S rRNA gene diversity using new methanogen-specific primers plus Archaea-specific primers. 16S rRNA gene primers previously used for polymerase chain reaction (PCR) detection of methanogenic Archaea from a variety of environments were evaluated by in silico testing. The primers displayed variable coverage of the four main orders of methanogens, highlighting the importance of this type of primer evaluation. Three PCR primer sets were designed using novel reverse primers to facilitate specific amplification of the orders Methanomicrobiales/Methanosarcinales, Methanobacteriales and Methanococcales. Diversity of the methanogen functional gene, methyl coenzyme M reductase (mcrA), was also studied. All gene libraries constructed from this sediment indicated that Methanomicrobiales and Methanosarcinales were the only methanogens detected. There was good agreement between the relative sequence abundances in the methanogen-specific 16S rRNA gene library and terminal restriction fragment length polymorphism (T-RFLP) profiling, suggesting that the population was dominated by putative H2 CO2 utilizing Methanomicrobiales, although acetate-utilizing methanogens were also present. The methanogen population analyses were in agreement with methanogenic activity measurements, which indicated that bicarbonate methanogenesis was higher than acetate methanogenesis at all depths measured and overall there was a significant difference (P = 0.001) between the rates of the two pathways. This study demonstrates the utility of new 16S rRNA gene PCR primers targeting specific methanogenic orders, and the combined results suggest that the CO2 reduction pathway dominates methanogenesis in the brackish sediment investigated.     

Characterization of acid-tolerant H/CO-utilizing methanogenic enrichment cultures from an acidic peat bog in New York State

Two methanogenic cultures were enriched from acidic peat soil using a growth medium buffered to c. pH 5. One culture, 6A, was obtained from peat after incubation with H(2)/CO(2), whereas culture NTA was derived from a 10(-4) dilution of untreated peat into a modified medium. 16S rRNA gene clone libraries from each culture contained one methanogen and two bacterial sequences. The methanogen 16S rRNA gene sequences were 99% identical with each other and belonged to the novel "R-10/Fen cluster" family of the Methanomicrobiales, whereas their mcrA sequences were 96% identical. One bacterial 16S rRNA gene sequence from culture 6A belonged to the Bacteroidetes and showed 99% identity with sequences from methanogenic enrichments from German and Russian bogs. The other sequence belonged to the Firmicutes and was identical to a thick rod-shaped citrate-utilizing organism isolated from culture 6A, the numbers of which decreased when the Ti (III) chelator was switched from citrate to nitrilotriacetate. Bacterial clones from the NTA culture clustered in the Delta- and Betaproteobacteria. Both cultures contained thin rods, presumably the methanogens, as the predominant morphotype, and represent a significant advance in characterization of the novel acidiphilic R-10 family methanogens.     

Soil type links microbial colonization of rice roots to methane emission

Most of the methane (CH₄) emission from rice fields is derived from plant photosynthates, which are converted to CH₄. Rice cluster I (RC-1) archaea colonizing the rhizosphere were found to be the methanogens responsible for this process. Hence, RC-1 methanogens seem to play a crucial role in emission of the greenhouse gas CH₄. We determined the community composition and activity of methanogens colonizing the roots of eight different rice cultivars after growth on both Italian rice soil and river bank soil, which contained different communities of methanogenic archaea. The community composition was analyzed by terminal restriction fragment length polymorphism and cloning/sequencing of the archaeal 16S rRNA gene and the mcrA gene coding for a subunit of the methyl coenzyme M reductase. When grown on rice field soil, the methanogenic community of the different rice cultivars was always dominated by RC-1 methanogens. In contrast, roots were colonized by Methanomicrobiales when grown on river bank soil, in which RC-1 methanogens were initially not detectable. Roots colonized with Methanomicrobiales compared with RC-1 exhibited lower CH₄ production and CH₄ emission rates. The results show that the type of methanogens colonizing rice roots has a potentially important impact on the global CH₄ cycle.     

Use of a Hierarchical Oligonucleotide Primer Extension Approach for Multiplexed Relative Abundance Analysis of Methanogens in Anaerobic Digestion Systems

In this study, we established a rapid multiplex method to detect the relative abundances of amplified 16S rRNA genes from known cultivatable methanogens at hierarchical specificities in anaerobic digestion systems treating industrial wastewater and sewage sludge. The method was based on the hierarchical oligonucleotide primer extension (HOPE) technique and combined with a set of 27 primers designed to target the total archaeal populations and methanogens from 22 genera within 4 taxonomic orders. After optimization for their specificities and detection sensitivity under the conditions of multiple single-nucleotide primer extension reactions, the HOPE approach was applied to analyze the methanogens in 19 consortium samples from 7 anaerobic treatment systems (i.e., 513 reactions). Among the samples, the methanogen populations detected with order-level primers accounted for >77.2% of the PCR-amplified 16S rRNA genes detected using an Archaea-specific primer. The archaeal communities typically consisted of 2 to 7 known methanogen genera within the Methanobacteriales, Methanomicrobiales, and Methanosarcinales and displayed population dynamic and spatial distributions in anaerobic reactor operations. Principal component analysis of the HOPE data further showed that the methanogen communities could be clustered into 3 distinctive groups, in accordance with the distribution of the Methanosaeta, Methanolinea, and Methanomethylovorans, respectively. This finding suggested that in addition to acetotrophic and hydrogenotrophic methanogens, the methylotrophic methanogens might play a key role in the anaerobic treatment of industrial wastewater. Overall, the results demonstrated that the HOPE approach is a specific, rapid, and multiplexing platform to determine the relative abundances of targeted methanogens in PCR-amplified 16S rRNA gene products.     

Aceticlastic and NaCl-requiring methanogen "Methanosaeta pelagica" sp. nov., isolated from marine tidal flat sediment

Among methanogens, only 2 genera, Methanosaeta and Methanosarcina, are known to contribute to methanogenesis from acetate, and Methanosaeta is a specialist that uses acetate specifically. However, Methanosaeta strains so far have mainly been isolated from anaerobic digesters, despite the fact that it is widespread, not only in anaerobic methanogenic reactors and freshwater environments, but also in marine environments, based upon extensive 16S rRNA gene-cloning analyses. In this study, we isolated an aceticlastic methanogen, designated strain 03d30q(T), from a tidal flat sediment. Phylogenetic analyses based on 16S rRNA and mcrA genes revealed that the isolate belongs to the genus Methanosaeta. Unlike the other known Methanosaeta species, this isolate grows at Na(+) concentrations of 0.20 to 0.80 M, with an optimum concentration of 0.28 M. Quantitative estimation using real-time PCR detected the 16S rRNA gene of the genus Methanosaeta in the marine sediment, and relative abundance ranged from 3.9% to 11.8% of the total archaeal 16S rRNA genes. In addition, the number of Methanosaeta organisms increased with increasing depth and was much higher than that of Methanosarcina organisms, suggesting that aceticlastic methanogens contribute to acetate metabolism to a greater extent than previously thought in marine environments, where sulfate-reducing acetate oxidation prevails. This is the first report on marine Methanosaeta species, and based on phylogenetic and characteristic studies, the name "Methanosaeta pelagica" sp. nov. is proposed for this novel species, with type strain 03d30q.     

Temporal microbial diversity changes in solvent-degrading anaerobic granular sludge from low-temperature (15 degrees C) wastewater treatment bioreactors

Anaerobic sludge granules were obtained from laboratory-scale anaerobic bioreactors used to treat pharmaceutical-like (methanol-, acetone- and propanol-contaminated) wastewater under low-temperature conditions (15 degrees C). The microbial diversity and diversity changes of the sludge samples were ascertained by applying 16S rRNA gene cloning and terminal restriction fragment length polymorphism (TRFLP) analyses, respectively, and using sludge samples from the inoculum, throughout and at the conclusion of the bioreactor trial. Data from genetic fingerprinting correlated well with those from physiological activity assays of the reactor biomass. Specifically, for example, TRFLP profiles indicated the dominance of hydrogenotrophic methanogens within the archaeal community, thus supporting the findings of specific methanogenic activity measurements. TRFLP data supported the hypothesis that the deviation between the replicated reactors, in terms of treatment efficiency, was associated with succession within the microbial communities present, and indicated that community development was linked to both operating temperature and wastewater composition. Fluorescence in situ hybridization (FISH) was also applied, to quantitatively assess the abundance of selected microbial groups, and revealed the underestimation of the abundance Methanosarcina by gene cloning analysis and demonstrated the spatial arrangement of these organisms within the architecture of the low-temperature solvent-degrading anaerobic biofilms.     

Microbial Communities Can Be Described by Metabolic Structure: A General Framework and Application to a Seasonally Variable,Depth-Stratified Microbial Community from the Coastal West Antarctic Peninsula

Taxonomic marker gene studies, such as the 16S rRNA gene, have been used to successfully explore microbial diversity in a variety of marine, terrestrial, and host environments. For some of these environments long term sampling programs are beginning to build a historical record of microbial community structure. Although these 16S rRNA gene datasets do not intrinsically provide information on microbial metabolism or ecosystem function, this information can be developed by identifying metabolisms associated with related, phenotyped strains. Here we introduce the concept of metabolic inference; the systematic prediction of metabolism from phylogeny, and describe a complete pipeline for predicting the metabolic pathways likely to be found in a collection of 16S rRNA gene phylotypes. This framework includes a mechanism for assigning confidence to each metabolic inference that is based on a novel method for evaluating genomic plasticity. We applied this framework to 16S rRNA gene libraries from the West Antarctic Peninsula marine environment, including surface and deep summer samples and surface winter samples. Using statistical methods commonly applied to community ecology data we found that metabolic structure differed between summer surface and winter and deep samples, comparable to an analysis of community structure by 16S rRNA gene phylotypes. While taxonomic variance between samples was primarily driven by low abundance taxa, metabolic variance was attributable to both high and low abundance pathways. This suggests that clades with a high degree of functional redundancy can occupy distinct adjacent niches. Overall our findings demonstrate that inferred metabolism can be used in place of taxonomy to describe the structure of microbial communities. Coupling metabolic inference with targeted metagenomics and an improved collection of completed genomes could be a powerful way to analyze microbial communities in a high-throughput manner that provides direct access to metabolic and ecosystem function.     

Microbial community structure of hydrothermal deposits from geochemically different vent fields along the Mid-Atlantic Ridge

To evaluate the effects of local fluid geochemistry on microbial communities associated with active hydrothermal vent deposits, we examined the archaeal and bacterial communities of 12 samples collected from two very different vent fields: the basalt-hosted Lucky Strike (37°17'N, 32°16.3'W, depth 1600-1750 m) and the ultramafic-hosted Rainbow (36°13'N, 33°54.1'W, depth 2270-2330 m) vent fields along the Mid-Atlantic Ridge (MAR). Using multiplexed barcoded pyrosequencing of the variable region 4 (V4) of the 16S rRNA genes, we show statistically significant differences between the archaeal and bacterial communities associated with the different vent fields. Quantitative polymerase chain reaction (qPCR) assays of the functional gene diagnostic for methanogenesis (mcrA), as well as geochemical modelling to predict pore fluid chemistries within the deposits, support the pyrosequencing observations. Collectively, these results show that the less reduced, hydrogen-poor fluids at Lucky Strike limit colonization by strict anaerobes such as methanogens, and allow for hyperthermophilic microaerophiles, like Aeropyrum. In contrast, the hydrogen-rich reducing vent fluids at the ultramafic-influenced Rainbow vent field support the prevalence of methanogens and other hydrogen-oxidizing thermophiles at this site. These results demonstrate that biogeographical patterns of hydrothermal vent microorganisms are shaped in part by large scale geological and geochemical processes.     

Methanogen diversity evidenced by molecular characterization of methyl coenzyme M reductase A (mcrA) genes in hydrothermal sediments of the Guaymas Basin

The methanogenic community in hydrothermally active sediments of Guaymas Basin (Gulf of California, Mexico) was analyzed by PCR amplification, cloning, and sequencing of methyl coenzyme M reductase (mcrA) and 16S rRNA genes. Members of the Methanomicrobiales and Methanosarcinales dominated the mcrA and 16S rRNA clone libraries from the upper 15 cm of the sediments. Within the H2/CO2- and formate-utilizing family Methanomicrobiales, two mcrA and 16S rRNA lineages were closely affiliated with cultured species of the genera Methanoculleus and Methanocorpusculum. The most frequently recovered mcrA PCR amplicons within the Methanomicrobiales did not branch with any cultured genera. Within the nutritionally versatile family Methanosarcinales, one 16S rRNA amplicon and most of the mcrA PCR amplicons were affiliated with the obligately acetate utilizing species Methanosaeta concilii. The mcrA clone libraries also included phylotypes related to the methyl-disproportionating genus Methanococcoides. However, two mcrA and two 16S rRNA lineages within the Methanosarcinales were unrelated to any cultured genus. Overall, the clone libraries indicate a diversified methanogen community that uses H2/CO2, formate, acetate, and methylated substrates. Phylogenetic affiliations of mcrA and 16S rRNA clones with thermophilic and nonthermophilic cultured isolates indicate a mixed mesophilic and thermophilic methanogen community in the surficial Guaymas sediments.     

中国南海北部陆坡沉积物古菌多样性及丰度分析

【目的】海洋沉积物中的古菌在全球生物地球化学循环中充当重要的角色,深入了解沉积物中古菌群落的结构及功能特征是探究海洋沉积物中古菌参与生物地球化学循环和生态学功能的基础。【方法】采用高通量测序技术,分别对南海北部陆坡不同海域(东部,西部和神狐海域的7个站位)沉积物中古菌16SrRNA基因进行Illumina Mi Seq测序。【结果】中国南海北部陆坡沉积物中古菌的主要门类是Bathyarchaeota、Thermoplasmata、Woesearchaeota(DHVEG-6)、Thaumarchaeota(Marine Group I)、Lokiarchaeota和Marine Hydrothermal Vent Group(MHVG),还存在少量的AK8、Marine Benthic Group A和Terrestrial Hot Spring Crenarchaeota Group(THSCG)等。在潜在水合物区沉积物中还发现了甲烷代谢相关古菌(Anaerobic methanotrophic archaea,ANME)类群,主要为ANME-1、ANME-2ab和ANME-2c等。甲烷代谢古菌的分布特征也从甲烷代谢保守功能基因mcr A(Methyl coenzyme-Mreductase A)的扩增中得到了验证。利用定量PCR对南海沉积物中的细菌、古菌的16SrRNA基因和mcrA基因进行了定量,发现细菌16SrRNA基因拷贝数为10~5-10~7 copies/g(湿重),古菌16SrRNA基因拷贝数为10~5-10~6 copies/g(湿重),潜在水合物区mcrA基因拷贝数为10~3-10~5 copies/g(湿重)。【结论】揭示了中国南海北部陆坡沉积物中具有丰富的微生物资源,其中古菌种类多样且丰度较高,同时发现冷泉特征古菌群落,为深入认识和理解南海沉积物中微生物丰度和古菌多样性,以及解析古菌地球化学功能奠定基础。