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      Gene targets for engineering osmotolerance in Caldicellulosiruptor bescii

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          Abstract

          Background

          Caldicellulosiruptor bescii, a promising biocatalyst being developed for use in consolidated bioprocessing of lignocellulosic materials to ethanol, grows poorly and has reduced conversion at elevated medium osmolarities. Increasing tolerance to elevated fermentation osmolarities is desired to enable performance necessary of a consolidated bioprocessing (CBP) biocatalyst.

          Results

          Two strains of C. bescii showing growth phenotypes in elevated osmolarity conditions were identified. The first strain, ORCB001, carried a deletion of the FapR fatty acid biosynthesis and malonyl-CoA metabolism repressor and had a severe growth defect when grown in high-osmolarity conditions—introduced as the addition of either ethanol, NaCl, glycerol, or glucose to growth media. The second strain, ORCB002, displayed a growth rate over three times higher than its genetic parent when grown in high-osmolarity medium. Unexpectedly, a genetic complement ORCB002 exhibited improved growth, failing to revert the observed phenotype, and suggesting that mutations other than the deleted transcription factor (the fruR/cra gene) are responsible for the growth phenotype observed in ORCB002. Genome resequencing identified several other genomic alterations (three deleted regions, three substitution mutations, one silent mutation, and one frameshift mutation), which may be responsible for the observed increase in osmolarity tolerance in the fruR/ cra-deficient strain, including a substitution mutation in dnaK, a gene previously implicated in osmoresistance in bacteria. Differential expression analysis and transcription factor binding site inference indicates that FapR negatively regulates malonyl-CoA and fatty acid biosynthesis, as it does in many other bacteria. FruR/Cra regulates neighboring fructose metabolism genes, as well as other genes in global manner.

          Conclusions

          Two systems able to effect tolerance to elevated osmolarities in C. bescii are identified. The first is fatty acid biosynthesis. The other is likely the result of one or more unintended, secondary mutations present in another transcription factor deletion strain. Though the locus/loci and mechanism(s) responsible remain unknown, candidate mutations are identified, including a mutation in the dnaK chaperone coding sequence. These results illustrate both the promise of targeted regulatory manipulation for osmotolerance (in the case of fapR) and the challenges (in the case of fruR/cra).

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          Most cited references56

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          How biotech can transform biofuels.

          For cellulosic ethanol to become a reality, biotechnological solutions should focus on optimizing the conversion of biomass to sugars.
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            Membrane fluidity and its roles in the perception of environmental signals.

            Poikilothermic organisms are exposed to frequent changes in environmental conditions and their survival depends on their ability to acclimate to such changes. Changes in ambient temperature and osmolarity cause fluctuations in the fluidity of cell membranes. Such fluctuations are considered to be critical to the initiation of the regulatory reactions that ultimately lead to acclimation. The mechanisms responsible for the perception of changes in membrane fluidity have not been fully characterized. However, the analysis of genome-wide gene expression using DNA microarrays has provided a powerful new approach to studies of the contribution of membrane fluidity to gene expression and to the identification of environmental sensors. In this review, we focus on the mechanisms that regulate membrane fluidity, on putative sensors that perceive changes in membrane fluidity, and on the subsequent expression of genes that ensures acclimation to a new set of environmental conditions.
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              RegPrecise 3.0 – A resource for genome-scale exploration of transcriptional regulation in bacteria

              Background Genome-scale prediction of gene regulation and reconstruction of transcriptional regulatory networks in prokaryotes is one of the critical tasks of modern genomics. Bacteria from different taxonomic groups, whose lifestyles and natural environments are substantially different, possess highly diverged transcriptional regulatory networks. The comparative genomics approaches are useful for in silico reconstruction of bacterial regulons and networks operated by both transcription factors (TFs) and RNA regulatory elements (riboswitches). Description RegPrecise (http://regprecise.lbl.gov) is a web resource for collection, visualization and analysis of transcriptional regulons reconstructed by comparative genomics. We significantly expanded a reference collection of manually curated regulons we introduced earlier. RegPrecise 3.0 provides access to inferred regulatory interactions organized by phylogenetic, structural and functional properties. Taxonomy-specific collections include 781 TF regulogs inferred in more than 160 genomes representing 14 taxonomic groups of Bacteria. TF-specific collections include regulogs for a selected subset of 40 TFs reconstructed across more than 30 taxonomic lineages. Novel collections of regulons operated by RNA regulatory elements (riboswitches) include near 400 regulogs inferred in 24 bacterial lineages. RegPrecise 3.0 provides four classifications of the reference regulons implemented as controlled vocabularies: 55 TF protein families; 43 RNA motif families; ~150 biological processes or metabolic pathways; and ~200 effectors or environmental signals. Genome-wide visualization of regulatory networks and metabolic pathways covered by the reference regulons are available for all studied genomes. A separate section of RegPrecise 3.0 contains draft regulatory networks in 640 genomes obtained by an conservative propagation of the reference regulons to closely related genomes. Conclusions RegPrecise 3.0 gives access to the transcriptional regulons reconstructed in bacterial genomes. Analytical capabilities include exploration of: regulon content, structure and function; TF binding site motifs; conservation and variations in genome-wide regulatory networks across all taxonomic groups of Bacteria. RegPrecise 3.0 was selected as a core resource on transcriptional regulation of the Department of Energy Systems Biology Knowledgebase, an emerging software and data environment designed to enable researchers to collaboratively generate, test and share new hypotheses about gene and protein functions, perform large-scale analyses, and model interactions in microbes, plants, and their communities.
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                Author and article information

                Contributors
                davisonbh@ornl.gov
                Steve.Brown@lanzatech.com
                Journal
                Biotechnol Biofuels
                Biotechnol Biofuels
                Biotechnology for Biofuels
                BioMed Central (London )
                1754-6834
                13 March 2020
                13 March 2020
                2020
                : 13
                : 50
                Affiliations
                [1 ]GRID grid.135519.a, ISNI 0000 0004 0446 2659, BioEnergy Science Center, , Oak Ridge National Laboratory, ; Oak Ridge, TN USA
                [2 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Bredesen Center for Interdisciplinary Graduate Research and Education, , University of Tennessee, ; Knoxville, TN USA
                [3 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Department of Chemical and Biomolecular Engineering, , University of Tennessee, ; Knoxville, TN USA
                [4 ]GRID grid.213876.9, ISNI 0000 0004 1936 738X, Department of Genetics, , University of Georgia, ; Athens, GA USA
                [5 ]GRID grid.135519.a, ISNI 0000 0004 0446 2659, Biosciences Division, , Oak Ridge National Laboratory, ; Oak Ridge, TN USA
                [6 ]GRID grid.135519.a, ISNI 0000 0004 0446 2659, Chemical Sciences Division, , Oak Ridge National Laboratory, ; Oak Ridge, TN 37830 USA
                [7 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Present Address: Department of Bioengineering, , University of California, Berkeley, ; Berkeley, CA USA
                [8 ]GRID grid.419357.d, ISNI 0000 0001 2199 3636, Present Address: National Bioenergy Center, , National Renewable Energy Laboratory, ; Golden, CO USA
                [9 ]Present Address: LanzaTech, Skokie, IL USA
                [10 ]Present Address: Becton Dickinson Diagnostics, Sparks Glencoe, MD USA
                Article
                1690
                10.1186/s13068-020-01690-3
                7071700
                f4cebaaa-f2a3-4182-8a81-91c9e80c2f10
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 2 September 2019
                : 27 February 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100006206, Biological and Environmental Research;
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Biotechnology
                caldicellulosiruptor bescii,osmotolerance,fatty acid biosynthesis,dnak,fapr,frur/cra
                Biotechnology
                caldicellulosiruptor bescii, osmotolerance, fatty acid biosynthesis, dnak, fapr, frur/cra

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