scholarly journals Identification and Quantification of Methanogenic Archaea in Adult Chicken Ceca

2006 ◽  
Vol 73 (1) ◽  
pp. 353-356 ◽  
Author(s):  
Suwat Saengkerdsub ◽  
Robin C. Anderson ◽  
Heather H. Wilkinson ◽  
Woo-Kyun Kim ◽  
David J. Nisbet ◽  
...  
Keyword(s):  
16S Rrna ◽  
Copy Number ◽  
Methanogenic Archaea ◽  
Molecular Methods ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Adult Chicken ◽  
Wet Weight ◽  
Identification And Quantification

ABSTRACT By using molecular methods for the identification and quantification of methanogenic archaea in adult chicken ceca, 16S rRNA genes of 11 different phylotypes, 10 of which were 99% similar to Methanobrevibacter woesei, were found. Methanogen populations, as assessed by cultivation, and the 16S rRNA copy number were between 6.38 and 8.23 cells/g (wet weight) and 5.50 and 7.19 log10/g (wet weight), respectively.

scholarly journals Methanogenic Community Dynamics during Anaerobic Utilization of Agricultural Wastes

Acta Naturae ◽  
2012 ◽  
Vol 4 (4) ◽  
pp. 91-97 ◽  
Author(s):  
A. M. Ziganshin ◽  
E. E. Ziganshina ◽  
S. Kleinsteuber ◽  
J. Pröter ◽  
O. N. Ilinskaya
Keyword(s):  
16S Rrna ◽  
Anaerobic Degradation ◽  
Community Dynamics ◽  
Biological Diversity ◽  
Biogas Production ◽  
Rflp Analysis ◽  
Methanogenic Archaea ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene

This work is devoted to the investigation of the methanogenic archaea involved in anaerobic digestion of cattle manure and maize straw on the basis of terminal restriction fragment length polymorphism (TRFLP) analysis of archaeal 16S rRNA genes. The biological diversity and dynamics of methanogenic communities leading to anaerobic degradation of agricultural organic wastes with biogas production were evaluated in laboratory-scale digesters. T-RFLP analysis, along with the establishment of archaeal 16S rRNA gene clone libraries, showed that the methanogenic consortium consisted mainly of members of the genera Methanosarcina and Methanoculleus, with a predominance of Methanosarcina spp. throughout the experiment.

scholarly journals Genetic diversity of 16S rRNA and mcrA genes from methanogenic archaeas

2020 ◽  
Vol 42 ◽  
pp. e49877
Author(s):  
Keyla Vitoria Marques Xavier ◽  
Eden Silva e Souza ◽  
Erick de Aquino Santos ◽  
Michely Correia Diniz
Keyword(s):  
Genetic Diversity ◽  
16S Rrna ◽  
Descriptive Analysis ◽  
Methanogenic Archaea ◽  
Ribosomal Gene ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Terrestrial Environments ◽  
Methyl Coenzyme M Reductase ◽  
Potential Use

Methanogenic archaeas are found in aquatic and terrestrial environments and are fundamental in the conversion of organic matter into methane, a gas that has a potential use as renewable source of energy, which is also considered as one of the main agents of the greenhouse effect. The vast majority of microbial genomes can be identified by a conservative molecular marker, the 16S ribosomal gene. However, the mcrA gene have been using in studies of methanogenic archaea diversity as an alternative marker, highly conserved and present only in methanogens. This gene allows the expression of the enzyme Methyl-coenzyme M reductase, the main agent in converting by-products of anaerobic digestion into methane. In this context, we aimed to study the genetic diversity of mcrA and 16S rRNA genes sequences available in databases. The nucleotide sequences were selected from the NCBI. The heterozygosity and molecular diversity indexes were calculated using the Arlequin 3.5 software, with plots generated by package R v3.0. The diversity and heterozygosity indices for both genes may have been influenced by the number and size of the sequences. Descriptive analysis of genetic diversity generated by sequences deposited in databases allowed a detailed study of these molecules. It is known that the organisms in a population are genetically distinct, and that, despite having similarities in their gene composition, the differences are essential for their adaptation to different environments.

scholarly journals “Methanoplasmatales,” Thermoplasmatales-Related Archaea in Termite Guts and Other Environments, Are the Seventh Order of Methanogens

2012 ◽  
Vol 78 (23) ◽  
pp. 8245-8253 ◽  
Author(s):  
Kristina Paul ◽  
James O. Nonoh ◽  
Lena Mikulski ◽  
Andreas Brune
Keyword(s):  
16S Rrna ◽  
Methanogenic Archaea ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Published Data ◽  
Gene Trees ◽  
Specific Sequence ◽  
Content Type ◽  
Marine Habitats ◽  
Seventh Order

ABSTRACTTheEuryarchaeotacomprise both methanogenic and nonmethanogenic orders and many lineages of uncultivated archaea with unknown properties. One of these deep-branching lineages, distantly related to theThermoplasmatales, has been discovered in various environments, including marine habitats, soil, and also the intestinal tracts of termites and mammals. By comparative phylogenetic analysis, we connected this lineage of 16S rRNA genes to a large clade of unknownmcrAgene sequences, a functional marker for methanogenesis, obtained from the same habitats. The identical topologies of 16S rRNA andmcrAgene trees and the perfect congruence of all branches, including several novel groups that we obtained from the guts of termites and cockroaches, strongly suggested that they stem from the same microorganisms. This was further corroborated by two highly enriched cultures of closely related methanogens from the guts of a higher termite (Cubitermes ugandensis) and a millipede (Anadenobolussp.), which represented one of the arthropod-specific clusters in the respective trees. Numerous other pairs of habitat-specific sequence clusters were obtained from the guts of other termites and cockroaches but were also found in previously published data sets from the intestinal tracts of mammals (e.g., rumen cluster C) and other environments. Together with the recently describedMethanomassiliicoccus luminyensisisolated from human feces, which falls into rice cluster III, the results of our study strongly support the idea that the entire clade of “unculturedThermoplasmatales” in fact represents the seventh order of methanogenic archaea, for which the provisional name “Methanoplasmatales” is proposed.

scholarly journals Pyrosequencing ofmcrAand Archaeal 16S rRNA Genes Reveals Diversity and Substrate Preferences of Methanogen Communities in Anaerobic Digesters

2014 ◽  
Vol 81 (2) ◽  
pp. 604-613 ◽  
Author(s):  
David Wilkins ◽  
Xiao-Ying Lu ◽  
Zhiyong Shen ◽  
Jiapeng Chen ◽  
Patrick K. H. Lee
Keyword(s):  
Anaerobic Digestion ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Methanogenic Archaea ◽  
16S Rrna Gene Sequencing ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Content Type ◽  
The 16S Rrna Gene

ABSTRACTMethanogenic archaea play a key role in biogas-producing anaerobic digestion and yet remain poorly taxonomically characterized. This is in part due to the limitations of low-throughput Sanger sequencing of a single (16S rRNA) gene, which in the past may have undersampled methanogen diversity. In this study, archaeal communities from three sludge digesters in Hong Kong and one wastewater digester in China were examined using high-throughput pyrosequencing of the methyl coenzyme M reductase (mcrA) and 16S rRNA genes.Methanobacteriales,Methanomicrobiales, andMethanosarcinaleswere detected in each digester, indicating that both hydrogenotrophic and acetoclastic methanogenesis was occurring. Two sludge digesters had similar community structures, likely due to their similar design and feedstock. Taxonomic classification of themcrAgenes suggested that these digesters were dominated by acetoclastic methanogens, particularlyMethanosarcinales, while the other digesters were dominated by hydrogenotrophicMethanomicrobiales. The proposed euryarchaeotal orderMethanomassiliicoccalesand the uncultured WSA2 group were detected with the 16S rRNA gene, and potentialmcrAgenes for these groups were identified. 16S rRNA gene sequencing also recovered several crenarchaeotal groups potentially involved in the initial anaerobic digestion processes. Overall, the two genes produced different taxonomic profiles for the digesters, while greater methanogen richness was detected using themcrAgene, supporting the use of this functional gene as a complement to the 16S rRNA gene to better assess methanogen diversity. A significant positive correlation was detected between methane production and the abundance ofmcrAtranscripts in digesters treating sludge and wastewater samples, supporting themcrAgene as a biomarker for methane yield.

scholarly journals Application of the stochastic labeling methods with random-sequence barcodes for simultaneous quantification and sequencing of environmental 16S rRNA genes

2016 ◽  
Author(s):  
Tatsuhiko Hoshino ◽  
Fumio Inagaki
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Microbial Communities ◽  
Copy Number ◽  
Random Sequence ◽  
Digital Pcr ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
The 16S Rrna Gene

AbstractNext-generation sequencing (NGS) is a powerful tool for analyzing environmental DNA and provides the comprehensive molecular view of microbial communities. For obtaining the copy number of particular sequences in the NGS library, however, additional quantitative analysis as quantitative PCR (qPCR) or digital PCR (dPCR) is required. Furthermore, number of sequences in a sequence library does not always reflect the original copy number of a target gene because of biases caused by PCR amplification, making it difficult to convert the proportion of particular sequences in the NGS library to the copy number using the mass of input DNA. To address this issue, we applied stochastic labeling approach with random-tag sequences and developed a NGS-based quantification protocol, which enables simultaneous sequencing and quantification of the targeted DNA. This quantitative sequencing (qSeq) is initiated from single-primer extension (SPE) using a primer with random tag adjacent to the 5’ end of target-specific sequence. During SPE, each DNA molecule is stochastically labeled with the random tag. Subsequently, first-round PCR is conducted, specifically targeting the SPE product, followed by second-round PCR to index for NGS. The number of random tags is only determined during the SPE step and is therefore not affected by the two rounds of PCR that may introduce amplification biases. In the case of 16S rRNA genes, after NGS sequencing and taxonomic classification, the absolute number of target phylotypes 16S rRNA gene can be estimated by Poisson statistics by counting random tags incorporated at the end of sequence. To test the feasibility of this approach, the 16S rRNA gene of Sulfolobus tokodaii was subjected to qSeq, which resulted in accurate quantification of 5.0 × 103to 5.0 × 104copies of the 16S rRNA gene. Furthermore, qSeq was applied to mock microbial communities and environmental samples, and the results were comparable to those obtained using digital PCR and relative abundance based on a standard sequence library. We demonstrated that the qSeq protocol proposed here is advantageous for providing less-biased absolute copy numbers of each target DNA with NGS sequencing at one time. By this new experiment scheme in microbial ecology, microbial community compositions can be explored in more quantitative manner, thus expanding our knowledge of microbial ecosystems in natural environments.

scholarly journals Gold Nanoparticle Clusters in Quasinematic Layers of Liquid-Crystalline Dispersion Particles of Double-Stranded Nucleic Acids

Acta Naturae ◽  
2012 ◽  
Vol 4 (4) ◽  
pp. 78-90 ◽  
Author(s):  
Yu. M. Yevdokimov ◽  
V. I. Salyanov ◽  
E. I. Katz ◽  
S. G. Skuridin
Keyword(s):  
16S Rrna ◽  
Liquid Crystalline ◽  
Biological Diversity ◽  
Biogas Production ◽  
Rflp Analysis ◽  
Methanogenic Archaea ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Liquid Crystalline Dispersion

This work is devoted to the investigation of the methanogenic archaea involved in anaerobic digestion of cattle manure and maize straw on the basis of terminal restriction fragment length polymorphism (TRFLP) analysis of archaeal 16S rRNA genes. The biological diversity and dynamics of methanogenic communities leading to anaerobic degradation of agricultural organic wastes with biogas production were evaluated in laboratory-scale digesters. T-RFLP analysis, along with the establishment of archaeal 16S rRNA gene clone libraries, showed that the methanogenic consortium consisted mainly of members of the genera Methanosarcina and Methanoculleus, with a predominance of Methanosarcina spp. throughout the experiment.

scholarly journals Characterization of C1-Metabolizing Prokaryotic Communities in Methane Seep Habitats at the Kuroshima Knoll, Southern Ryukyu Arc, by Analyzing pmoA, mmoX, mxaF, mcrA, and 16S rRNA Genes

2004 ◽  
Vol 70 (12) ◽  
pp. 7445-7455 ◽  
Author(s):  
Fumio Inagaki ◽  
Urumu Tsunogai ◽  
Masae Suzuki ◽  
Ayako Kosaka ◽  
Hideaki Machiyama ◽  
...  
Keyword(s):  
16S Rrna ◽  
Methane Oxidation ◽  
Copy Number ◽  
Methane Monooxygenase ◽  
Anaerobic Methane Oxidation ◽  
Rrna Genes ◽  
Methane Seep ◽  
Core Sediments ◽  
Wet Weight

ABSTRACT Samples from three submerged sites (MC, a core obtained in the methane seep area; MR, a reference core obtained at a distance from the methane seep; and HC, a gas-bubbling carbonate sample) at the Kuroshima Knoll in the southern Ryuku arc were analyzed to gain insight into the organisms present and the processes involved in this oxic-anoxic methane seep environment. 16S rRNA gene analyses by quantitative real-time PCR and clone library sequencing revealed that the MC core sediments contained abundant archaea (∼34% of the total prokaryotes), including both mesophilic methanogens related to the genus Methanolobus and ANME-2 members of the Methanosarcinales, as well as members of the δ-Proteobacteria, suggesting that both anaerobic methane oxidation and methanogenesis occurred at this site. In addition, several functional genes connected with methane metabolism were analyzed by quantitative competitive-PCR, including the genes encoding particulate methane monooxygenase (pmoA), soluble methane monooxygenase (mmoX), methanol dehydrogenese (mxaF), and methyl coenzyme M reductase (mcrA). In the MC core sediments, the most abundant gene was mcrA (2.5 × 106 copies/g [wet weight]), while the pmoA gene of the type I methanotrophs (5.9 × 106 copies/g [wet weight]) was most abundant at the surface of the MC core. These results indicate that there is a very complex environment in which methane production, anaerobic methane oxidation, and aerobic methane oxidation all occur in close proximity. The HC carbonate site was rich in γ-Proteobacteria and had a high copy number of mxaF (7.1 × 106 copies/g [wet weight]) and a much lower copy number of the pmoA gene (3.2 × 102 copies/g [wet weight]). The mmoX gene was never detected. In contrast, the reference core contained familiar sequences of marine sedimentary archaeal and bacterial groups but not groups specific to C1 metabolism. Geochemical characterization of the amounts and isotopic composition of pore water methane and sulfate strongly supported the notion that in this zone both aerobic methane oxidation and anaerobic methane oxidation, as well as methanogenesis, occur.

Differentiation Of Clarias Batrachus, C. Gariepinus And Heteropneustes Fossilis By Pcr-Sequencing Of Mitochondrial 16s Rrna Gene

2015 ◽  
Vol 41 (1) ◽  
pp. 51-58
Author(s):  
Mohammad Shamimul Alam ◽  
Hawa Jahan ◽  
Rowshan Ara Begum ◽  
Reza M Shahjahan
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Fish Larva ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Valuable Insight ◽  
Multiple Sequence ◽  
Pcr Rflp ◽  
Alternative Means

Heteropneustesfossilis, Clariasbatrachus and C. gariepinus are three major catfishes ofecological and economic importance. Identification of these fish species becomes aproblem when the usual external morphological features of the fish are lost or removed,such as in canned fish. Also, newly hatched fish larva is often difficult to identify. PCRsequencingprovides accurate alternative means of identification of individuals at specieslevel. So, 16S rRNA genes of three locally collected catfishes were sequenced after PCRamplification and compared with the same gene sequences available from othergeographical regions. Multiple sequence alignment of the 16S rRNA gene fragments ofthe catfish species has revealed polymorphic sites which can be used to differentiate thesethree species from one another and will provide valuable insight in choosing appropriaterestriction enzymes for PCR-RFLP based identification in future. Asiat. Soc. Bangladesh, Sci. 41(1): 51-58, June 2015

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