<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dang, Yan</style></author><author><style face="normal" font="default" size="100%">Holmes, Dawn E</style></author><author><style face="normal" font="default" size="100%">Zhao, Zhiqiang</style></author><author><style face="normal" font="default" size="100%">Woodard, Trevor L</style></author><author><style face="normal" font="default" size="100%">Zhang, Yaobin</style></author><author><style face="normal" font="default" size="100%">Sun, Dezhi</style></author><author><style face="normal" font="default" size="100%">Wang, Li-Ying</style></author><author><style face="normal" font="default" size="100%">Nevin, Kelly P</style></author><author><style face="normal" font="default" size="100%">Lovley, Derek R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Enhancing anaerobic digestion of complex organic waste with carbon-based conductive materials.</style></title><secondary-title><style face="normal" font="default" size="100%">Bioresour Technol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Bioresour Technol</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Anaerobiosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Bacteria</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioreactors</style></keyword><keyword><style  face="normal" font="default" size="100%">Carbon</style></keyword><keyword><style  face="normal" font="default" size="100%">Carbon Fiber</style></keyword><keyword><style  face="normal" font="default" size="100%">Charcoal</style></keyword><keyword><style  face="normal" font="default" size="100%">Dogs</style></keyword><keyword><style  face="normal" font="default" size="100%">Electric Conductivity</style></keyword><keyword><style  face="normal" font="default" size="100%">Fatty Acids, Volatile</style></keyword><keyword><style  face="normal" font="default" size="100%">Hydrogen-Ion Concentration</style></keyword><keyword><style  face="normal" font="default" size="100%">Methane</style></keyword><keyword><style  face="normal" font="default" size="100%">Organic Chemicals</style></keyword><keyword><style  face="normal" font="default" size="100%">Waste Products</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016 Nov</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">220</style></volume><pages><style face="normal" font="default" size="100%">516-522</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The aim of this work was to study the methanogenic metabolism of dog food, a food waste surrogate, in laboratory-scale reactors with different carbon-based conductive materials. Carbon cloth, carbon felt, and granular activated carbon all permitted higher organic loading rates and promoted faster recovery of soured reactors than the control reactors. Microbial community analysis revealed that specific and substantial enrichments of Sporanaerobacter and Methanosarcina were present on the carbon cloth surface. These results, and the known ability of Sporanaerobacter species to transfer electrons to elemental sulfur, suggest that Sporanaerobacter species can participate in direct interspecies electron transfer with Methanosarcina species when carbon cloth is available as an electron transfer mediator.&lt;/p&gt;</style></abstract><custom1><style face="normal" font="default" size="100%">https://www.ncbi.nlm.nih.gov/pubmed/27611035?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Shanmugam, Raghuvaran</style></author><author><style face="normal" font="default" size="100%">Aklujkar, Muktak</style></author><author><style face="normal" font="default" size="100%">Schäfer, Matthias</style></author><author><style face="normal" font="default" size="100%">Reinhardt, Richard</style></author><author><style face="normal" font="default" size="100%">Nickel, Olaf</style></author><author><style face="normal" font="default" size="100%">Reuter, Gunter</style></author><author><style face="normal" font="default" size="100%">Lovley, Derek R</style></author><author><style face="normal" font="default" size="100%">Ehrenhofer-Murray, Ann</style></author><author><style face="normal" font="default" size="100%">Nellen, Wolfgang</style></author><author><style face="normal" font="default" size="100%">Ankri, Serge</style></author><author><style face="normal" font="default" size="100%">Helm, Mark</style></author><author><style face="normal" font="default" size="100%">Jurkowski, Tomasz P</style></author><author><style face="normal" font="default" size="100%">Jeltsch, Albert</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Dnmt2 RNA methyltransferase homolog of Geobacter sulfurreducens specifically methylates tRNA-Glu.</style></title><secondary-title><style face="normal" font="default" size="100%">Nucleic Acids Res</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Nucleic Acids Res</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Bacterial Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Geobacter</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Methylation</style></keyword><keyword><style  face="normal" font="default" size="100%">Mice</style></keyword><keyword><style  face="normal" font="default" size="100%">Nucleic Acid Conformation</style></keyword><keyword><style  face="normal" font="default" size="100%">RNA, Transfer, Asp</style></keyword><keyword><style  face="normal" font="default" size="100%">RNA, Transfer, Glu</style></keyword><keyword><style  face="normal" font="default" size="100%">Substrate Specificity</style></keyword><keyword><style  face="normal" font="default" size="100%">tRNA Methyltransferases</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014 Jun</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">42</style></volume><pages><style face="normal" font="default" size="100%">6487-96</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Dnmt2 enzymes are conserved in eukaryotes, where they methylate C38 of tRNA-Asp with high activity. Here, the activity of one of the very few prokaryotic Dnmt2 homologs from Geobacter species (GsDnmt2) was investigated. GsDnmt2 was observed to methylate tRNA-Asp from flies and mice. Unexpectedly, it had only a weak activity toward its matching Geobacter tRNA-Asp, but methylated Geobacter tRNA-Glu with good activity. In agreement with this result, we show that tRNA-Glu is methylated in Geobacter while the methylation is absent in tRNA-Asp. The activities of Dnmt2 enzymes from Homo sapiens, Drosophila melanogaster, Schizosaccharomyces pombe and Dictyostelium discoideum for methylation of the Geobacter tRNA-Asp and tRNA-Glu were determined showing that all these Dnmt2s preferentially methylate tRNA-Asp. Hence, the GsDnmt2 enzyme has a swapped transfer ribonucleic acid (tRNA) specificity. By comparing the different tRNAs, a characteristic sequence pattern was identified in the variable loop of all preferred tRNA substrates. An exchange of two nucleotides in the variable loop of murine tRNA-Asp converted it to the corresponding variable loop of tRNA-Glu and led to a strong reduction of GsDnmt2 activity. Interestingly, the same loss of activity was observed with human DNMT2, indicating that the variable loop functions as a specificity determinant in tRNA recognition of Dnmt2 enzymes.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">https://www.ncbi.nlm.nih.gov/pubmed/24711368?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yan, Bin</style></author><author><style face="normal" font="default" size="100%">Methé, Barbara A</style></author><author><style face="normal" font="default" size="100%">Lovley, Derek R</style></author><author><style face="normal" font="default" size="100%">Krushkal, Julia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computational prediction of conserved operons and phylogenetic footprinting of transcription regulatory elements in the metal-reducing bacterial family Geobacteraceae.</style></title><secondary-title><style face="normal" font="default" size="100%">J Theor Biol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J. Theor. Biol.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Computational Biology</style></keyword><keyword><style  face="normal" font="default" size="100%">Conserved Sequence</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA Footprinting</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes, Regulator</style></keyword><keyword><style  face="normal" font="default" size="100%">Genome, Bacterial</style></keyword><keyword><style  face="normal" font="default" size="100%">Geobacter</style></keyword><keyword><style  face="normal" font="default" size="100%">Models, Genetic</style></keyword><keyword><style  face="normal" font="default" size="100%">Operon</style></keyword><keyword><style  face="normal" font="default" size="100%">Phylogeny</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004 Sep 7</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">230</style></volume><pages><style face="normal" font="default" size="100%">133-44</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Members of the family Geobacteraceae are an important group of microorganisms from the delta subdivision of Proteobacteria that couple the oxidation of organic compounds to metal reduction. In order to uncover transcription regulatory interactions in these organisms, we used computational methods to identify conserved operons and putative cis-regulatory transcription elements. We identified 26 putative operons with gene order and function conserved among two species of Geobacteraceae, Geobacter sulfurreducens and Geobacter metallireducens. Most of these operons were also conserved in Desulfovibrio vulgaris, an additional metal reducing organism from family Desulfovibrionaceae of the delta subdivision of Proteobacteria. The predicted conserved operons were investigated for the presence of transcription factor binding sites by two different methods, (i) comparison of non-coding regions in conserved operons, and (ii) neural network promoter prediction. Predicted motifs were screened to identify most likely transcription factor binding sites and ribosome-binding sites. We provide information on motifs in Geobacteraceae similar to known transcription factor binding sites in Escherichia coli, conserved motifs in other bacterial species, putative palindromic sites, and predicted ribosome-binding sites. These predictions will aid in further elucidation of regulatory networks of gene interactions in Geobacteraceae.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/15276006?dopt=Abstract</style></custom1></record></records></xml>