南海南部陆坡表层沉积物细菌和古菌多样性

从南海南部陆坡表层沉积物中扩增了细菌和古菌16S rDNA序列,并对克隆子文库进行系统发育分析.细菌序列以变形杆菌(Proteobacteria)居多,其次是浮霉菌(Planctomycete)、酸杆菌(Acidobacteria)和candidate division OP10,另外还有少量铁还原杆菌(Deferrobacteres)、candidate division OP3、OP11、OP8、TM6、疣微菌(Verrucomicrobia)和螺旋体(Spirochaetes).古菌序列分别来自泉古生菌(Crenarchaeota)和广古生菌(Euryarchaeota),以Marine Benthic Group B(MBGB)、MarineCrenarchaeotic Group Ⅰ(MGⅠ)、Marine Benthic Group D(MBGD)和South African Gold Mine Euryarchaeotic Group(SAGMEG)为主.少量序列为C3、甲烷杆菌(Methanobacteriales)和Novel Euryarchaeotic Group(NEG).结果表明海底表层沉积物中有丰富多样的微生物群落.     

黑胸散白蚁（Reticulitermes chinensis Snyder）肠道共生古菌的系统发育分析

摘要：【目的】利用非培养法对黑胸散白蚁（Reticulitermes chinensis Snyder）肠道共生古菌进行系统发育分析。【方法】采用古菌16S rDNA通用引物以黑胸散白蚁全肠DNA为模板扩增共生菌的16S rDNA并建立基因文库,对得到的基因序列进行系统发育分析。【结果】从黑胸散白蚁肠道得到5个不同的16S rDNA序列,它们之间的相似性为93.2%～99.2%,系统发育分析表明这5个16S rDNA序列代表的克隆分别与来源于黑胸散白蚁近缘种,栖北散白蚁和北美散白蚁肠道中的甲烷短杆菌克隆或     

南海西沙海槽表层沉积物微生物多样性

利用非培养的分子技术研究了西沙海槽表层沉积物中的微生物群落.沉积物中扩增的古菌16S rDNA 序列分属两个大类:泉古生菌(Crenarchaeota)和广古生菌(Euryarchaeota).以Marine Crenarchaeotic GroupⅠ (古菌16S rDNA文库的49.2%)和Terrestrial Miscellaneous Euryarchaeotal Group (16.9%)为主要类群;其余为Marine Benthic Group B (9.7%)、 Marine Benthic Group A (4%)、 Marine Benthic Group D (1.6%)、Novel Euryarchaeotic Group (0.8%)和 C3(0.8%).细菌克隆子多样性明显高于古菌,16S rDNA序列分别来自变形杆菌(Proteobacteria)(细菌16S rDNA文库的30.5%)、浮霉菌(Planctomycetes)(20.3%)、放线菌(Actinobacteria)(14.4%)、厚壁菌(Firmicutes)(15.3%)、屈桡杆菌(Chloroflexi)(8.5%)、酸杆菌(Acidobacteria)(3.4%)、candidate division OP8 (2.5%)、拟杆菌/绿菌(Bacterioidetes/Chlorobi)(1.7%)和疣微菌(Verrucomicrobia)(1.7%).变形杆菌为优势类群(包括Alpha-和Delta-Proteobacteria亚群).多数克隆子为未培养细菌和古菌.结果表明南海表层沉积物中蕴含大量未知的微生物资源.     

高浓度酒精废水厌氧处理工程系统中古菌多样性及其代谢特征

颗粒污泥形成快、抗冲击能力强、悬浮性好是新型高浓度有机废水厌氧处理系统的重要特征。为了研究颗粒污泥中古菌组成多样性及其功能特征, 采集活性污泥样品, 提取总基因组DNA, 应用PCR-DGGE和16S rDNA克隆测序技术对系统内古菌群落进行研究。结果表明: 古菌克隆文库中克隆子的近缘种归属于Methanosaeta、Methanosarcina、Methanobacterium和Methanomethylovorans 4个类群, 所占文库容量比例依次为58.2%、23.6%、12.7%和3.6%, 1个克隆子未能找到相似菌株, 占1.8%。系统发育分析找到了未知克隆子C10、C11、C13和C19的相似菌株FJ618821、AB479397、AJ244290和AB447878, 并明确相应的分类地位。古菌类群以乙酸利用型Methanosaeta、Methanosarcina为主, 说明甲烷形成过程以乙酸途径为主。中间代谢产物VFAs组成与不同产甲烷菌代谢功能分析的结果证明了古菌群落组成多样性与其代谢功能的对应关系。     

基于mcrA基因的沁水盆地煤层气田产甲烷菌群与途径分析

【目的】分析沁水盆地煤层气田不同煤层气井产出水样中产甲烷菌群和生物成因气的生成途径。【方法】以甲基辅酶M还原酶基因(mcr A)作为目标基因,采用454焦磷酸高通量测序方法,同时比对NCBI功能基因文库中的mcr A序列,分析不同煤层气井产出水中的产甲烷菌群。【结果】高通量测序表明,5个出水样产甲烷菌群OTUs(Operational taxonomic units)数为64–157个,共有的为22个,各占样品总数14%-34%;样品共检测到4种已知菌属,即甲烷杆菌属(Methanobacterium)、甲烷微菌属(Methanomicrobium)、甲烷叶菌属(Methanolobus)和甲烷螺菌属(Methanospirillum),优势菌属均为Methanobacterium。系统发育分析表明,未明确地位的菌属主要与Methanobacterium、Methanomicrobium、产甲烷球菌属(Methanococcus)和甲烷囊菌属(Methanoculleus)有较近的亲缘关系。5个样品中菌属所占比例不同,检测到的菌属类别大致相同。所有检测样品生物成因煤层气(Coalbed methane,CBM)的生成途径主要为氢营养型产甲烷途径。【结论】沁水盆地不同煤层气田产甲烷菌群菌种差异比较大,但生物成因气生成途径基本相似,与地理位置和煤藏条件没有相关性。     

南海北部陆坡神狐海域HS-PC500 岩心微生物多样性

[目的]本文研究南海北部陆坡神狐HS-PC500重力活塞岩心沉积物中微生物多样性.[方法]使用吖啶橙染色法计数沉积物中微生物丰度;提取沉积物微生物总DNA,使用特异性引物扩增古菌及细菌16SrRNA基因序列;对克隆文库进行系统发育分析.[结果]系统发育分析显示表层PC500-l(0-5 cm below sea floor,bsf)古菌以C3为主要类群,占该层总序列的25.6%;中层PC500-6(350-355 cm bsf)和底层PC500-11(790-795 cm bsf)古菌以Marine Benthic Group(MBG)-B为主要类群,分别占该层总序列的48.1%和38.9%.另有部分克隆序列属于MBG-A、Miscellaneous Crenarchaeotic Group(MCG)、Thermoprotei、NGC、Halobacteriales、MBG-E、South African Gold Mine Euryarchaeotic Group(SAGMEG).表层细菌以变形菌(Proteobacteria)为主要类群,占该层文库的38.3%.中层和底层细菌以绿弯菌(Choloflexi)和JS1为主要类群,分别占该层文库的28.1%、29.2%和39%、24.7%.另有部分克隆序列属于硝化螺旋菌(Nitrospirae)、放线菌(Actinobacteria)、酸杆菌(Acidobacteria)、OP8、螺旋体菌(Spirochaetes)、TM6、脱铁杆菌(Deferribacteres)、浮霉菌(Plantomycete).[结论]结果显示,HS-PC500岩心微生物丰度与甲烷浓度变化相吻合;微生物丰度较低可能与较低的总有机碳量有关;微生物多样性较高,并且随深度的增加群落结构变化明显;岩心中有关硫酸盐还原的微生物类群占优势,说明微生物的硫代谢在该海区沉积物的物质循环过程中占有重要地位.     

瘤胃降解粗纤维产甲烷的厌氧真菌与甲烷菌共培养物的分离鉴定

【目的】本试验从瘤胃中分离鉴定降解粗纤维产甲烷的厌氧真菌与甲烷菌共培养物,为深入探究甲烷菌对厌氧真菌代谢途径的影响及相关调节机制奠定基础。【方法】利用厌氧滚管技术从荷斯坦奶牛瘤胃内容物中分离厌氧真菌与甲烷菌共培养物,通过形态学观察和DAPI染色以及甲烷菌16S rRNA基因序列分析方法分别对厌氧真菌及甲烷菌进行鉴定。【结果】从荷斯坦奶牛瘤胃中共分离到28株厌氧真菌与甲烷菌共培养物。共培养物中的厌氧真菌均为单中心菌株,分别属于Piromyces,Neocallimastix和Caeomyces属,所占百分比为53.57%,42.86%及3.57%。甲烷菌16S rRNA基因序列分析结果表明,共培养物中的甲烷菌均为甲烷短杆菌。本研究共获得四种不同的厌氧真菌与甲烷菌组合,分别为Piromyces/类Methanobrevibacter olleyae菌株,Neocallimastix/类Methanobrevibacter olleyae菌株,Neocallimastix/类Methanobrevibacter thaueri菌株及Caecomyces/类Methanobrevibacter olleyae菌株,分别占总数的53.57%,39.29%,3.57%及3.57%。【结论】分离得到的28株厌氧真菌和甲烷菌共培养物中,占优势的为具有丰富丝状假根的厌氧真菌Piromyces和Neocallimastix以及类Methanobrevibacter olleyae属的甲烷短杆菌。本研究为进一步研究瘤胃内厌氧真菌与甲烷菌相互代谢关系奠定基础。     

三种不同形态太岁所含古菌的结构研究

[目的]分析不同形态太岁中所含古菌多样性和群落结构。[方法]提取3种太岁深层组织样品的古菌DNA,进行16S r DNA PCR扩增后,利用Miseq平台进行测序统计。[结果]共得到有效序列92 849条,归类为5 161个OTU,属于2个门、5个目、11个属。21、82、91号3个样品中,广古菌门(Euryarchaeota)都是最优势门,所占比例分别是99.67%、98.79%和99.71%。甲烷杆菌属(Methanobacterium)、甲烷短杆菌属(Methanobrevibacter)和甲烷球菌属(Methanosphaera)是丰度均排在前三位的属,所占比例之和依次是93.05%、84.16%和82.63%,其中甲烷杆菌属独自各占83.90%、47.14%、31.23%,其余两个属所占比例及其总量在不同形态太岁中不同。[结论]太岁中普遍含有古菌,优势类群为甲烷杆菌属、甲烷短杆菌属、甲烷球菌属,其在不同形态太岁所含古菌中占比范围在82.63%~93.05%之间。     

新疆乌鲁木齐10号冷泉古菌群落结构多样性

[目的]探究新疆地震断裂带含硫冷泉泉水古菌群落组成及多样性.[方法]利用酶解法直接从冷泉泉水样品中提取环境总DNA,采用古菌通用引物对16S rRNA基因进行扩增,构建16S rRNA基因克隆文库,通过Alu Ⅰ和AfaⅠ两种限制性内切酶对随机挑选的115个阳性克隆子进行酶切分型,将不同酶切带型对应的克隆子送样测序,测序结果与GenBank序列进行比对并构建16S rRNA基因系统发育树.[结果]古菌克隆文库中共得到44个不同的酶切带型,BLAST序列比对和系统发育分析将它们划分于广古菌门(Euryarchaeota,94.78％)和奇古菌门(Thaumarchaeota,4.35％).奇古菌门克隆与Nitrosopumilus.sp序列相似性达到了93％;而广古菌门类群较为多样,其中,42.61％的克隆子属于RC-V cluster,20.87％与13.91％的克隆子分别属于LDS cluster和Methanomicrobiales,4.35％的克隆子与甲烷厌氧氧化相关的类群(ANME-1a-FW)具有较高的的相似.另外,13.05％的克隆子属于广古菌门中的未知类群.[结论]乌鲁木齐10号泉水体中广古菌类群多样,可能蕴藏有大量潜在的古菌新类群.     

西南印度洋中脊深海沉积物砷抗性菌的富集分离与多样性分析

[目的]为了筛选深海砷抗性菌,了解印度洋中脊深海沉积物砷抗性菌的多样性情况.[方法]通过砷富集培养,筛选出砷抗性菌;通过变性梯度凝胶电泳(DGGE)分析与构建16S rDNA克隆文库法两种手段分析了富集物中砷抗性菌的多样性.利用兼并引物PCR,从抗性菌株中克隆与砷抗性相关的基因.[结果]共筛选到8株砷抗性菌,分别属于y-proteobacteria的5个不同的属.其中,菌株AS-I1-3的抗性最高,可以在26×10-3 mol/L三价砷存在的情况下生长,该菌株的16S rDNA序列与菌株Pseudoalteromonas tetraodoni IAM同源性最高(100%).DGGE分析显示,该菌是富集物中的最优势菌,其次是盐单胞菌(Halomonas)和海杆菌(Marinobacter).16S rDNA克隆文库分析结果进一步证明,与菌株AS-I1-3序列相同的克隆子占整个克隆文库的72.5%;而与菌株AS-I1-5(Halomonas meridiana,100%)和菌株Mn-I1-6(Marinobacter vinifirmus,99%)序相同的克隆子分别占10%和7.5%.然而,利用兼并引物PCR,仅能从2株非优势菌中克隆到了与砷抗性相关的基因,表明菌群中的优势抗性菌可能有其他的抗性机制.[结论]在深海环境中存在着多种砷抗性菌,其中Pseudoalteromonas属的菌株是该富集条件下的砷抗性优势菌.这些砷抗性菌在大洋环境砷元素的生物地球化学循环中的作用有待进一步研究.     

Diversity, abundance and novel 16S rRNA gene sequences of methanogens in rumen liquid, solid and epithelium fractions of Jinnan cattle

Three methanogen 16S rRNA gene clone libraries were constructed from liquid (LM), solid (SM) and epithelium (EM) fractions taken from the rumen of Jinnan cattle in China. After the amplification by PCR using methanogen-specific primers Met86F and Met1340R, equal quantities of PCR products from the same fractions from each of the four cattle were mixed together and used to construct the three libraries. Sequence analysis showed that the 268 LM clones were divided into 35 phylotypes with 18 sequences of phylotypes affiliated with the genus Methanobrevibacter (84.3% of clones). The 135 SM clones were divided into 19 phylotypes with 11 phylotypes affiliated with the genus Methanobrevibacter (77.8%). The 267 EM clones were divided into 33 phylotypes with 15 phylotypes affiliated with the genus Methanobrevibacter (77.2%). Clones closely related to Methanomicrobium mobile and Methanobrevibacter wolinii were only found in the LM library, and those to Methanobrevibacter ruminantium and Methanobrevibacter gottschalkii only in the SM library. LM library comprised 12.4% unidentified euryarchaeal clones, SM library 23.7% and EM library 25.5%, respectively. Five phylotypes (accession number: EF055528 and EF055531-EF055534) did not belong to the Euryarchaeota sequences we had known. One possible new genus (represented by phylotype E17, accession number EF055528) belonging to Methanobacteriaceae was identified from EM library. Quantitative real-time PCR for the first time revealed that epithelium fraction had significantly higher density of methanogens, with methanogenic mcrA gene copies (9.95 log 10 (copies per gram of wet weight)) than solid (9.26, P < 0.01) and the liquid (8.44, P < 0.001). The three clone libraries also appeared different in Shannon index (EM library 2.12, LM library 2.05 and SM library 1.73). Our results showed that there were apparent differences in the methanogenic diversity and abundance in the three different fractions within the rumen of Jinnan cattle, with Methanobrevibacter species predominant in all the three libraries and with epithelium fraction having more unknown species and higher density of methanogens.     

16S rDNA directed PCR primers and detection of methanogens in the bovine rumen

AIMS: To assess the diversity of ruminal methanogens in a grazing cow, and develop PCR primers targeting the predominant methanogens. METHODS AND RESULTS: DNA was extracted from rumen contents collected from a cow grazing pasture. Archaeal 16S rRNA genes were amplified by PCR using two pairs of archaea-specific primers, and clone libraries prepared. Selected clones were sequenced. Phylogenetic analysis revealed that for one primer pair, most sequences clustered with Methanobrevibacter spp. whereas with the other primer pair most clustered with Methanosphaera stadtmanae. One sequence belonged to the Crenarcheota. PCR primers were designed to detect Msp. stadtmanae and differentiate between Mbb. ruminantium and Mbb. smithii and successfully tested. CONCLUSIONS: The ruminal methanogens included Mbb. ruminantium, Mbb. smithii, Mbb. thaueri and methanogens similar to Msp.stadtmanae. The study showed that apparent methanogen diversity can be affected by selectivity from the archaea-specific primers used to create clone libraries. SIGNIFICANCE AND IMPACT OF THE STUDY: This study revealed a greater diversity of ruminal methanogens in grazing cows than previously recognized. It also shows the need for care in interpreting methanogen diversity using PCR-based analyses. The new PCR primers will enable more information to be obtained on Msp. stadtmanae and Methanobrevibacter spp. in the rumen.     

Phylogenetic analysis of archaea in three fractions of cow rumen based on the 16S rDNA sequence

Phylogenetic analysis of archaea in the rumen ecosystem was analysed by PCR of 16S rDNA from the bovine rumen using archaea-specific primers. The libraries were constructed from rumen fluid (AF), rumen solid (AS), and rumen epithelium (AE) from a rumen-fistulated Korean cow (Hanwoo). The 45 AF clones could be divided into three groups and the largest group was affiliated with the Methanomicrobiaceae family (96% of clones). The AF clones contained a high proportion of unidentifiable clones (67%). The 39 AE clones could be divided into two groups and the largest group was also affiliated with the Methanomicrobiaceae family (95% of clones). The AE clones contained a low proportion of unidentifiable clones (5%). The 20 AS clones could be divided into two groups that were affiliated with either the Methanobacteriaceae family (55%) or the Methanomicrobiaceae family (45%). The AS clones contained a moderate proportion of unidentifiable clones (40%). The predominant family of whole rumen archaea was found to belong to the Methanomicrobiaceae (85%). Methanomicrobiaceae were predominant in the rumen epithelium and the rumen fluid while Methanobacteriaceae were predominant in the rumen solid. One clone from the rumen fluid and two clones from the rumen epithelium contained rDNA sequences of Non-Thermophilic-Crenarchaeota (NTC) and Thermophilic-Crenarchaeota (TC), respectively, which have not previously been described from the rumen.     

Postinoculation protozoan establishment and association patterns of methanogenic archaea in the ovine rumen

Association patterns between archaea and rumen protozoa were evaluated by analyzing archaeal 16S rRNA gene clone libraries from ovine rumen inoculated with different protozoa. Five protozoan inoculation treatments, fauna free (negative control), holotrich and cellulolytic protozoa, Isotricha and Dasytricha spp., Entodinium spp., and total fauna (type A) were tested. We used denaturing gradient gel electrophoresis, quantitative PCR, and phylogenetic analysis to evaluate the impact of the protozoan inoculants on the respective archaeal communities. Protozoan 18S ribosomal DNA clone libraries were also evaluated to monitor the protozoal population that was established by the inoculation. Phylogenetic analysis suggested that archaeal clones associated with the fauna-free, the Entodinium, and the type A inoculations clustered primarily with uncultured phylotypes. Polyplastron multivesiculatum was the predominant protozoan strain established by the holotrich and cellulolytic protozoan treatment, and this resulted predominantly in archaeal clones affiliated with uncultured and cultured methanogenic phylotypes (Methanosphaera stadtmanae, Methanobrevibacter ruminantium, and Methanobacterium bryantii). Furthermore, the Isotricha and Dasytricha inoculation treatment resulted primarily in archaeal clones affiliated with Methanobrevibacter smithii. This report provides the first assessment of the influence of protozoa on archaea within the rumen microbial community and provides evidence to suggest that different archaeal phylotypes associate with specific groups of protozoa. The observed patterns may be linked to the evolution of commensal and symbiotic relationships between archaea and protozoa in the ovine rumen environment. This report further underscores the prevalence and potential importance of a rather large group of uncultivated archaea in the ovine rumen, probably unrelated to known methanogens and undocumented in the bovine rumen.     

Postinoculation Protozoan Establishment and Association Patterns of Methanogenic Archaea in the Ovine Rumen

Association patterns between archaea and rumen protozoa were evaluated by analyzing archaeal 16S rRNA gene clone libraries from ovine rumen inoculated with different protozoa. Five protozoan inoculation treatments, fauna free (negative control), holotrich and cellulolytic protozoa, Isotricha and Dasytricha spp., Entodinium spp., and total fauna (type A) were tested. We used denaturing gradient gel electrophoresis, quantitative PCR, and phylogenetic analysis to evaluate the impact of the protozoan inoculants on the respective archaeal communities. Protozoan 18S ribosomal DNA clone libraries were also evaluated to monitor the protozoal population that was established by the inoculation. Phylogenetic analysis suggested that archaeal clones associated with the fauna-free, the Entodinium, and the type A inoculations clustered primarily with uncultured phylotypes. Polyplastron multivesiculatum was the predominant protozoan strain established by the holotrich and cellulolytic protozoan treatment, and this resulted predominantly in archaeal clones affiliated with uncultured and cultured methanogenic phylotypes (Methanosphaera stadtmanae, Methanobrevibacter ruminantium, and Methanobacterium bryantii). Furthermore, the Isotricha and Dasytricha inoculation treatment resulted primarily in archaeal clones affiliated with Methanobrevibacter smithii. This report provides the first assessment of the influence of protozoa on archaea within the rumen microbial community and provides evidence to suggest that different archaeal phylotypes associate with specific groups of protozoa. The observed patterns may be linked to the evolution of commensal and symbiotic relationships between archaea and protozoa in the ovine rumen environment. This report further underscores the prevalence and potential importance of a rather large group of uncultivated archaea in the ovine rumen, probably unrelated to known methanogens and undocumented in the bovine rumen.     

Phylogenetic Analysis of Methanogens in the Pig Feces

In order to assess methanogen diversity in feces of pigs, archaeal 16S rRNA gene clone libraries were constructed from feces of the pig. After the amplification by PCR using primers Met86F and Met1340R, equal quantities of PCR products from each of the five pigs were mixed together and used to construct the library. Sequence analysis showed that the 74 clones were divided into ten phylotypes as defined by RFLP analysis. Phylogenetic analysis showed that three phylotypes were most closely affiliated with the genus Methanobrevibacter (46% of clones). The library comprised 55.4% unidentified euryarchaeal clones. Three phylotypes (LMG4, LMG6, LMG8) were not closely related to any known Euryarchaeota sequences. The phylogenetic analysis indicated that the archaea found in the libraries were all clustered into the Euryarchaeota. The data from the phylogenetic tree showed that those sequences belonged to three monophyletic groups. Phylotypes LGM2 and LGM7 grouped within the genus Methanobrevibacter. Phylotypes LGM4, LGM6, LGM8 and LGM9 grouped within the genus Methanosphaera. Other phylotypes grouped together, and formed a distantly related sister group to Aciduliprofundum boonei and species of the Thermoplasmatales including Thermoplasma volcanium and Thermoplasm acidophilum. Our results showed that methanogens belonging to the genus Methanobrevibacter were predominant in pig feces, and that many unique unknown archaea sequences were also found in the library. Nevertheless, whether these unique sequences represent new taxonomic groups and their role in the pig gut need further investigation.     

Differences in the rumen methanogen populations of lactating Jersey and Holstein dairy cows under the same diet regimen

In the dairy cattle industry, Holstein and Jersey are the breeds most commonly used for production. They differ in performance by various traits, such as body size, milk production, and milk composition. With increased concerns about the impact of agriculture on climate change, potential differences in other traits, such as methane emission, also need to be characterized further. Since methane is produced in the rumen by methanogenic archaea, we investigated whether the population structure of methanogen communities would differ between Holsteins and Jerseys. Breed-specific rumen methanogen 16S rRNA gene clone libraries were constructed from pooled PCR products obtained from lactating Holstein and Jersey cows, generating 180 and 185 clones, respectively. The combined 365 sequences were assigned to 55 species-level operational taxonomic units (OTUs). Twenty OTUs, representing 85% of the combined library sequences, were common to both breeds, while 23 OTUs (36 sequences) were found only in the Holstein library and 12 OTUs (18 sequences) were found only in the Jersey library, highlighting increased diversity in the Holstein library. Other differences included the observation that sequences with species-like sequence identity to Methanobrevibacter millerae were represented more highly in the Jersey breed, while Methanosphaera-related sequences and novel uncultured methanogen clones were more frequent in the Holstein library. In contrast, OTU sequences with species-level sequence identity to Methanobrevibacter ruminantium were represented similarly in both libraries. Since the sampled animals were from a single herd consisting of two breeds which were fed the same diet and maintained under the same environmental conditions, the differences we observed may be due to differences in host breed genetics.     

Methanogen community structure in the rumens of farmed sheep, cattle and red deer fed different diets

Development of inhibitors and vaccines that mitigate rumen-derived methane by targeting methanogens relies on knowledge of the methanogens present. We investigated the composition of archaeal communities in the rumens of farmed sheep (Ovis aries), cattle (Bos taurus) and red deer (Cervus elaphus) using denaturing gradient gel electrophoresis (DGGE) to generate fingerprints of archaeal 16S rRNA genes. The total archaeal communities were relatively constant across species and diets, and were less variable and less diverse than bacterial communities. There were diet- and ruminant-species-based differences in archaeal community structure, but the same dominant archaea were present in all rumens. These were members of three coherent clades: species related to Methanobrevibacter ruminantium and Methanobrevibacter olleyae; species related to Methanobrevibacter gottschalkii, Methanobrevibacter thaueri and Methanobrevibacter millerae; and species of the genus Methanosphaera. Members of an archaeal group of unknown physiology, designated rumen cluster C (RCC), were also present. RCC-specific DGGE, clone library analysis and quantitative real-time PCR showed that their 16S rRNA gene sequences were very diverse and made up an average of 26.5% of the total archaea. RCC sequences were not readily detected in the DGGE patterns of total archaeal 16S rRNA genes because no single sequence type was abundant enough to form dominant bands.     

Phylogenetic diversity of planktonic archaea in the estuarine region of East China Sea

To examine the diversity and structure of archaeal communities in the Yangtze River estuarine region of East China Sea (ECS), the 16S rRNA gene clone libraries of two typical sites were constructed with the archaea-specific primers. In total, 71 clones randomly selected were screened by PCR-restriction fragment length polymorphism (PCR-RFLP) analysis and 21 clones with unique RFLP pattern were sequenced. All the sequences are clustered into the two groups of Marine Group I (MGI) and Marine Group II (MGII) which are affiliated with the phyla Crenarchaeota and Euryarchaeota, respectively. MGI clones dominate both libraries with 20 MGI sequences obtained. The majority of sequences are closely related to uncultured marine archaea except for two sequences of which the nearest neighbor is a newly identified isolate of nitrifying marine archaeon Nitrosopumilus maritimus (98% identity). The results indicate that ECS coastal waters are inhabited by archaeal community with low dominance and high diversity corresponding to the complex estuarine environments, suggesting that archaea may perform an important role in the estuarine ecosystem.     

Methyl coenzyme M reductase (<Emphasis Type="Italic">mcrA</Emphasis>) gene based phylogenetic analysis of methanogens population in Murrah buffaloes (<Emphasis Type="Italic">Bubalus bubalis</Emphasis>)

The aim of the present study was to decipher the diversity of methanogens in rumen of Murrah buffaloes so that effective strategies can be made in order to mitigate methane emission from these methanogens. In the present study diversity of rumen methanogens in Murrah buffaloes (Bubalus bubalis) from North India was evaluated by using mcr-A gene library obtained from the pooled PCR product from four animals and by using MEGA4 software. A total of 104 clones were examined, revealing 26 different mcr-A gene sequences or phylotypes. Of the 26 phylotypes, 16 (64 of 104 clones) were less than 97% similar to any of the cultured strain of methanogens. Seven clone sequences were clustered with Methanomicrobium mobile and three clone sequences were clustered with Methanobrevibacter gottschalkii during the phylogenetic analysis. Uncultured group of methanogens comes out to be the major component of the methanogens community structure in Murrah buffaloes. Methanomicrobium phylotype comes out to be major phylotype among cultured methanogens followed by Methanobrevibacter phylotype. These results help in making effective strategies to check the growth of dominant communities in the rumen of this animal which in turn help in the reduction of methane emission in the environment and ultimately helps us in fighting with the problem of global warming.