scholarly journals Characterization of microbial associations with methanotrophic archaea and sulfate-reducing bacteria through statistical comparison of nested Magneto-FISH enrichments

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1913 ◽  
Author(s):  
Elizabeth Trembath-Reichert ◽  
David H. Case ◽  
Victoria J. Orphan
Keyword(s):  
Network Analysis ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Sulfate Reducing Bacteria ◽  
Gene Clone ◽  
Rrna Gene ◽  
Methane Seep ◽  
Sulfate Reducing ◽  
Card Fish ◽  
Reducing Bacteria

Methane seep systems along continental margins host diverse and dynamic microbial assemblages, sustained in large part through the microbially mediated process of sulfate-coupled Anaerobic Oxidation of Methane (AOM). This methanotrophic metabolism has been linked to consortia of anaerobic methane-oxidizing archaea (ANME) and sulfate-reducing bacteria (SRB). These two groups are the focus of numerous studies; however, less is known about the wide diversity of other seep associated microorganisms. We selected a hierarchical set of FISH probes targeting a range ofDeltaproteobacteriadiversity. Using the Magneto-FISH enrichment technique, we then magnetically captured CARD-FISH hybridized cells and their physically associated microorganisms from a methane seep sediment incubation. DNA from nested Magneto-FISH experiments was analyzed using Illumina tag 16S rRNA gene sequencing (iTag). Enrichment success and potential bias with iTag was evaluated in the context of full-length 16S rRNA gene clone libraries, CARD-FISH, functional gene clone libraries, and iTag mock communities. We determined commonly used Earth Microbiome Project (EMP) iTAG primers introduced bias in some common methane seep microbial taxa that reduced the ability to directly compare OTU relative abundances within a sample, but comparison of relative abundances between samples (in nearly all cases) and whole community-based analyses were robust. The iTag dataset was subjected to statistical co-occurrence measures of the most abundant OTUs to determine which taxa in this dataset were most correlated across all samples. Many non-canonical microbial partnerships were statistically significant in our co-occurrence network analysis, most of which were not recovered with conventional clone library sequencing, demonstrating the utility of combining Magneto-FISH and iTag sequencing methods for hypothesis generation of associations within complex microbial communities. Network analysis pointed to many co-occurrences containing putatively heterotrophic, candidate phyla such as OD1,Atribacteria, MBG-B, and Hyd24-12 and the potential for complex sulfur cycling involvingEpsilon-,Delta-, andGammaproteobacteriain methane seep ecosystems.

scholarly journals Production of biogas: relationship between methanogenic and sulfate-reducing microorganisms

2017 ◽  
Vol 12 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Ivan Kushkevych ◽  
Monika Vítězová ◽  
Tomáš Vítěz ◽  
Milan Bartoš
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Phylogenetic Trees ◽  
Biogas Production ◽  
Sulfate Reducing Bacteria ◽  
Quantitative Composition ◽  
Rrna Gene ◽  
Sulfate Reducing ◽  
Relationship Of ◽  
Reducing Bacteria

AbstractThe production of high-quality methane depends on many factors, including temperature, pH, substrate, composition and relationship of the microorganisms. The qualitative and quantitative composition of methanogenic and sulfate-reducing microorganisms and their relationship in the experimental bioreactors has never been studied. The aim of this research was to characterize, for the first time, the diversity of the methanogenic microorganisms and sulfate-reducing bacteria, and study their relationship and biogas production in experimental bioreactors. Amplification of 16S rRNA gene fragments was carried out. Purified amplicons were paired-end sequenced on an Illumina Mi-Seq platform. The dominant morphotypes of these microorganisms in the bioreactor were homologous (99%) by the sequences of 16S rRNA gene to theMethanosarcina,Thermogymnomonas,Methanoculleusgenera andArchaeondeposited in GenBank. Three dominant genera of sulfate-reducing bacteria,Desulfomicrobium,DesulfobulbusandDesulfovibrio, were detected in the bioreactor. The phylogenetic trees showing their genetic relationship were constructed. The diversity and number of the genera, production of methane, hydrogen sulfide and hydrogen in the bioreactor was investigated. This research is important for understanding the relationship between methanogenic microbial populations and other bacterial physiological groups, their substrate competition and, in turn, can be helpful for controlling methanogenesis in bioreactors.

scholarly journals A sulfate-reducing bacterial genus, Desulfosediminicola gen. nov., comprising two novel species cultivated from tidal-flat sediments

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jaeho Song ◽  
Juchan Hwang ◽  
Ilnam Kang ◽  
Jang-Cheon Cho
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Tidal Flat ◽  
Novel Species ◽  
Sulfate Reducing Bacteria ◽  
Rrna Gene ◽  
Novel Genus ◽  
Sulfate Reducing ◽  
Tidal Flat Sediments ◽  
Reducing Bacteria

AbstractTidal-flat sediments harbor a diverse array of sulfate-reducing bacteria. To isolate novel sulfate-reducing bacteria and determine their abundance, a tidal-flat sediment sample collected off Ganghwa Island (Korea) was investigated using cultivation-based and culture-independent approaches. Two Gram-stain-negative, strictly anaerobic, rod-shaped, sulfate-reducing bacteria, designated IMCC35004T and IMCC35005T, were isolated from the sample. The two strains reduced sulfate, sulfite, elemental sulfur, thiosulfate, Fe(III) citrate, and Mn(IV) oxide by utilizing several carbon sources, including acetate. The 16S rRNA gene amplicon sequencing revealed that the tidal-flat sediment contained diverse members of the phylum Desulfobacterota, and the phylotypes related to IMCC35004T and IMCC35005T were < 1%. The two strains shared 97.6% similarity in 16S rRNA gene sequence and were closely related to Desulfopila aestuarii DSM 18488T (96.1–96.5%). The average nucleotide identity, level of digital DNA–DNA hybridization, average amino acid identity, and percentages of conserved proteins determined analyzing the whole-genome sequences, as well as the chemotaxonomic data showed that the two strains belong to two novel species of a novel genus. Additionally, genes related to dissimilatory sulfate reduction were detected in the genomes of the two strains. Unlike the genera Desulfopila and Desulfotalea, IMCC35004T and IMCC35005T contained menaquinone-5 as the major respiratory quinone. Collectively, IMCC35004T and IMCC35005T were concluded to represent two novel species of a novel genus within the family Desulfocapsaceae, for which the names Desulfosediminicola ganghwensis gen. nov., sp. nov. (IMCC35004T = KCTC 15826T = NBRC 114003T) and Desulfosediminicola flagellatus sp. nov. (IMCC35005T = KCTC 15827T = NBRC 114004T) are proposed.

scholarly journals Chromium Precipitation Activity and Molecular Characterization of Sulfate-Reducing Bacteria

2019 ◽  
Vol 4 (1) ◽  
pp. 15
Author(s):  
Dwiana Muflihah Yulianti ◽  
Endah Retnaningrum ◽  
Wahyu Wilopo
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Sulfate Reducing Bacteria ◽  
Rrna Gene ◽  
Gene Sequences ◽  
16S Rrna Gene Sequences ◽  
Sulfate Reducing ◽  
Sulfate Reducing Bioreactor ◽  
Reducing Bacteria

Chromium is one of the metals used in many areas of industry., However, chromium is toxic to organisms when present in large quantities in the environment. One of the method for treatment of hazardous waste containing chromium in the aquatic environment can be removed by bioremediation using sulfate-reducing bacteria (SRB). Therefore, the purpose of this research were to analyze the chromium precipitation activity of sulfate-reducing bacteria isolated from sulfate reducing bioreactor and its molecular identification using 16S rRNA gene sequences. The result observed that the isolate of sulfate-reducing bacteria (KGP1 strain) has chromium tolerancy ability up to 5 ppm. It also showed that the strain KGP1 could precipitate chromium up to 0.141 ppm (79 %) on 5 days incubation. Based on 16S rRNA gene sequences, this strain identified as Desulfovibrio aerotolerans.

scholarly journals Overestimation of the Abundance of Sulfate-Reducing Bacteria in Human Feces by Quantitative PCR Targeting the Desulfovibrio 16S rRNA Gene

2011 ◽  
Vol 77 (10) ◽  
pp. 3544-3546 ◽  
Author(s):  
C. T. Christophersen ◽  
M. Morrison ◽  
M. A. Conlon
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Quantitative Pcr ◽  
Sulfate Reducing Bacteria ◽  
Rrna Gene ◽  
Sulfate Reducing ◽  
Gene Assay ◽  
Reducing Bacteria ◽  
Pcr Targeting ◽  
The 16S Rrna Gene

ABSTRACTThe dominant genus of sulfate-reducing bacteria (SRB) in humans isDesulfovibrio, and quantitative PCR (QPCR) targeting the 16S rRNA gene is often used in assays. We show that the 16S rRNA gene assay overestimated SRB abundance in feces from 24 adults compared to QPCR assays using primers targeting two genes involved in SRB energy metabolism.

scholarly journals Comparative Analysis of Methane-Oxidizing Archaea and Sulfate-Reducing Bacteria in Anoxic Marine Sediments

2001 ◽  
Vol 67 (4) ◽  
pp. 1922-1934 ◽  
Author(s):  
V. J. Orphan ◽  
K.-U. Hinrichs ◽  
W. Ussler ◽  
C. K. Paull ◽  
L. T. Taylor ◽  
...  
Keyword(s):  
Marine Sediments ◽  
Sulfate Reducing Bacteria ◽  
Rrna Gene ◽  
Anaerobic Oxidation Of Methane ◽  
Ether Lipids ◽  
Methane Seep ◽  
Sulfate Reducing ◽  
Oxidation Of Methane ◽  
Close Relatives ◽  
Reducing Bacteria

ABSTRACT The oxidation of methane in anoxic marine sediments is thought to be mediated by a consortium of methane-consuming archaea and sulfate-reducing bacteria. In this study, we compared results of rRNA gene (rDNA) surveys and lipid analyses of archaea and bacteria associated with methane seep sediments from several different sites on the Californian continental margin. Two distinct archaeal lineages (ANME-1 and ANME-2), peripherally related to the orderMethanosarcinales, were consistently associated with methane seep marine sediments. The same sediments contained abundant13C-depleted archaeal lipids, indicating that one or both of these archaeal groups are members of anaerobic methane-oxidizing consortia. 13C-depleted lipids and the signature 16S rDNAs for these archaeal groups were absent in nearby control sediments. Concurrent surveys of bacterial rDNAs revealed a predominance of δ-proteobacteria, in particular, close relatives ofDesulfosarcina variabilis. Biomarker analyses of the same sediments showed bacterial fatty acids with strong 13C depletion that are likely products of these sulfate-reducing bacteria. Consistent with these observations, whole-cell fluorescent in situ hybridization revealed aggregations of ANME-2 archaea and sulfate-reducing Desulfosarcina andDesulfococcus species. Additionally, the presence of abundant 13C-depleted ether lipids, presumed to be of bacterial origin but unrelated to ether lipids of members of the orderDesulfosarcinales, suggests the participation of additional bacterial groups in the methane-oxidizing process. Although theDesulfosarcinales and ANME-2 consortia appear to participate in the anaerobic oxidation of methane in marine sediments, our data suggest that other bacteria and archaea are also involved in methane oxidation in these environments.

Microbial Diversity in Acidic Anaerobic Sediments at the Geothermal Caviahue-Copahue System, Argentina

2013 ◽  
Vol 825 ◽  
pp. 7-10 ◽  
Author(s):  
Graciana Willis ◽  
Sabrina Hedrich ◽  
Ivan Nancucheo ◽  
D. Barrie Johnson ◽  
Edgardo R. Donati
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Hot Spring ◽  
Rrna Gene ◽  
Sulfate Reducer ◽  
Sulfate Reducing ◽  
Culture Independent ◽  
Cultivation Techniques ◽  
Reducing Bacteria ◽  
The 16S Rrna Gene

In this work we have examined the bacterial diversity from the hot spring sediment Agua del Limón (AL1) present at the geothermal Caviahue-Copahue system using a combination of molecular and cultivation techniques, with particular emphasis on indigenous anaerobic prokaryotes. Microorganisms involved in the iron (Acidithiobacillus ferrooxidansandLeptospirillumspp.) and sulphur (Acidithiobacillusspp., Thermotogales-like bacteria,Thiomonassp., andDesulfurellasp.) cycles were identified in the clone library. Although no obvious sulfate-reducing bacteria were detected by culture-independent techniques, several isolates related to the mesophilic, spore-forming sulfate-reducer"Desulfobacillus acidavidus"strain CL4 were isolated at 30°C and 40°C. The 16S rRNA gene of another isolate showed 94% similarity toDesulfotomaculum thermobenzoicum. Sulfate-reducing enrichment cultures of the Copahue samples were also dominated by"Dsb. acidavidus"CL4.

scholarly journals Microbial community in persistent apical periodontitis: a 16S rRNA gene clone library analysis

2014 ◽  
Vol 48 (8) ◽  
pp. 717-728 ◽  
Author(s):  
M. N. Zakaria ◽  
T. Takeshita ◽  
Y. Shibata ◽  
H. Maeda ◽  
N. Wada ◽  
...  
Keyword(s):  
Microbial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Clone Library ◽  
Apical Periodontitis ◽  
Gene Clone ◽  
Rrna Gene ◽  
Clone Library Analysis

scholarly journals ANME-1 archaea drive methane accumulation and removal in estuarine sediments

2020 ◽  
Author(s):  
Richard Kevorkian ◽  
Sean Callahan ◽  
Rachel Winstead ◽  
Karen G. Lloyd
Keyword(s):  
16S Rrna ◽  
Sulfate Reducing Bacteria ◽  
Low Energy ◽  
Estuarine Sediments ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Sulfate Reducing ◽  
Hydrogenotrophic Methanogenesis ◽  
Natural Settings ◽  
Reducing Bacteria

AbstractUncultured members of the Methanomicrobia called ANME-1 perform the anaerobic oxidation of methane (AOM) through a process that uses much of the methanogenic pathway. It is unknown whether ANME-1 obligately perform AOM, or whether some of them can perform methanogenesis when methanogenesis is exergonic. Most marine sediments lack advective transport of methane, so AOM occurs in the sulfate methane transition zone (SMTZ) where sulfate-reducing bacteria consume hydrogen produced by fermenters, making hydrogenotrophic methanogenesis exergonic in the reverse direction. When sulfate is depleted deeper in the sediments, hydrogen accumulates making hydrogenotrophic methanogenesis exergonic, and methane accumulates in the methane zone (MZ). In White Oak River estuarine sediments, we found that ANME-1 comprised 99.5% of 16S rRNA genes from amplicons and 100% of 16S rRNA genes from metagenomes of the Methanomicrobia in the SMTZ and 99.9% and 98.3%, respectively, in the MZ. Each of the 16 ANME-1 OTUs (97% similarity) had peaks in the SMTZ that coincided with peaks of putative sulfate-reducing bacteria Desulfatiglans sp. and SEEP-SRB1. In the MZ, ANME-1, but no putative sulfate-reducing bacteria or cultured methanogens, increased with depth. Using publicly available data, we found that ANME-1 was the only group expressing methanogenic genes during both net AOM and net methanogenesis in an enrichment. The commonly-held belief that ANME-1 perform AOM is based on the fact that they dominate natural settings and enrichments where net AOM is measured. We found that ANME-1 also dominate natural settings and enrichment where net methanogenesis is measured, so we conclude that ANME-1 perform methane production. Alternating between AOM and methanogenesis, either in a single ANME-1 cell or between different subclades with similar 16S rRNA sequences of ANME-1, may confer a competitive advantage, explaining the predominance of low-energy adapted ANME-1 in methanogenic sediments worldwide.Abstract ImportanceLife may operate differently at very low energy levels. Natural populations of microbes that make methane survive on some of the lowest energy yields of all life. From all available data, we infer that these microbes alternate between methane production and oxidation, depending on which process is energy-yielding in the environment. This means that much of the methane produced naturally in marine sediments occurs through an organism that is also capable of destroying it under different circumstances.

Discovery of genes associated with sulfate-reducing bacteria biofilm using text mining and biological network analysis

2021 ◽  
Author(s):  
Abhilash Kumar Tripathi ◽  
Priya Saxena ◽  
Payal Thakur ◽  
Shailabh Rauniyar ◽  
Vinoj Gopalakrishnan ◽  
...  
Keyword(s):  
Network Analysis ◽  
Text Mining ◽  
Biological Network ◽  
Sulfate Reducing Bacteria ◽  
Sulfate Reducing ◽  
Biological Network Analysis ◽  
Reducing Bacteria
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