Construction of a restriction-less, marker-less mutant useful for functional genomic and metabolic engineering of the biofuel producer Clostridium acetobutylicum
Open accessAbstract
BACKGROUND: Clostridium acetobutylicum is a gram-positive, spore-forming, anaerobic bacterium capable of converting various sugars and polysaccharides into solvents (acetone, butanol, and ethanol). The sequencing of its genome has prompted new approaches to genetic analysis, functional genomics, and metabolic engineering to develop industrial strains for the production of biofuels and bulk chemicals. RESULTS: The method used in this paper to knock-out or knock-in genes in C. acetobutylicum combines the use of an antibiotic-resistance gene for the deletion or replacement of the target gene, the subsequent elimination of the antibiotic-resistance gene with the flippase recombinase system from Saccharomyces cerevisiae, and a C. acetobutylicum strain that lacks upp, which encodes uracil phosphoribosyl-transferase, for subsequent use as a counter-selectable marker. A replicative vector containing (1) a pIMP13 origin of replication from Bacillus subtilis that is functional in Clostridia, (2) a replacement cassette consisting of an antibiotic resistance gene (MLS (R) ) flanked by two FRT sequences, and (3) two sequences homologous to selected regions around target DNA sequence was first constructed. This vector was successfully used to consecutively delete the Cac824I restriction endonuclease encoding gene (CA_C1502) and the upp gene (CA_C2879) in the C. acetobutylicum ATCC824 chromosome. The resulting C. acetobutylicum Δcac1502Δupp strain is marker-less, readily transformable without any previous plasmid methylation and can serve as the host for the "marker-less" genetic exchange system. The third gene, CA_C3535, shown in this study to encode for a type II restriction enzyme (Cac824II) that recognizes the CTGAAG sequence, was deleted using an upp/5-FU counter-selection strategy to improve the efficiency of the method. The restriction-less marker-less strain and the method was successfully used to delete two genes (ctfAB) on the pSOL1 megaplasmid and one gene (ldhA) on the chromosome to get strains no longer producing acetone or l-lactate. CONCLUSIONS: The restriction-less, marker-less strain described in this study, as well as the maker-less genetic exchange coupled with positive selection, will be useful for functional genomic studies and for the development of industrial strains for the production of biofuels and bulk chemicals.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several counter-selectable markers to allow efficient screening for the rare second recombination event have been developed for clostridia, including upp, mazF, codA, and pyrE or pyrF.
“To facilitate this method, several counter-selectable markers to allow efficient screening for the rare second recombination event have been developed for clostridia including upp (encoding a uracil-phosphoribosyl-transferase) (Soucaille et al., 2008; Croux et al., 2016), mazF (E. coli toxin) (Al-Hinai et al., 2012a), codA (cytosine deaminase) (Cartman et al., 2012), and pyrE or pyrF (orotate”
From Gas Fermentation—A Flexible Platform for Commercial Scale Production of Low-Carbon-Fuels and Chemicals from Waste and Renewable Feedstocks (2016) · cites this paper as Croux et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Molecular Cloning: A Laboratory Manual
Sambrook, J., Fritsch, E., & Maniatis, T. (1989) · UCLA - Biblioteca de Ciencias de la Salud · Cited by 133,589 · see citing works
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products.
Datsenko, K., & Wanner, B. (2000) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.120163297 · Cited by 15,902 · see citing works
Cherepanov, P., & Wackernagel, W. (1995) · Gene · doi:10.1016/0378-1119(95)00193-a · Cited by 1,952 · see citing works
The Inevitable Application of Big Data to Health Care
Murdoch, T. B., & Detsky, A. S. (2013) · JAMA · doi:10.1001/jama.2013.393 · Cited by 1,676 · see citing works
SMART on FHIR: a standards-based, interoperable apps platform for electronic health records
Mandel, J. C., Kreda, D. A., Mandl, K. D., Kohane, I. S., & Ramoni, R. B. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv189 · Cited by 829 · see citing works
Next-generation phenotyping of electronic health records
Hripcsak, G., & Albers, D. J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001145 · Cited by 795 · see citing works
Nölling, J., Breton, G., Omelchenko, M. V., Makarova, K. S., Zeng, Q., Gibson, R., Lee, H. M., Dubois, J., Qiu, D., Hitti, J., et al. (2001) · Journal of Bacteriology · doi:10.1128/jb.183.16.4823-4838.2001 · Cited by 767 · see citing works
Self-citationClinical decision support systems for the practice of evidence-based medicine
Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., & Tang, P. C. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080527 · Cited by 732 · see citing works
the eMERGE Team, McCarty, C. A., Chisholm, R. L., Chute, C. G., Kullo, I. J., Jarvik, G. P., Larson, E. B., Li, R., Masys, D. R., Ritchie, M. D., et al. (2011) · BMC Medical Genomics · doi:10.1186/1755-8794-4-13 · Cited by 692 · see citing works
The ClosTron: a universal gene knock-out system for the genus Clostridium
Heap, J. T., Pennington, O. J., Cartman, S. T., Carter, G. P., & Minton, N. P. (2007) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2007.05.021 · Cited by 663 · see citing works
Launching PCORnet, a national patient-centered clinical research network
Fleurence, R., Curtis, L. H., Califf, R. M., Platt, R., Selby, J. V., & Brown, J. S. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002747 · Cited by 637 · see citing works
Medical big data: promise and challenges
Lee, C. H., & Yoon, H. (2017) · Kidney Research and Clinical Practice · doi:10.23876/j.krcp.2017.36.1.3 · Cited by 596 · see citing works
Krumholz, H. M. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0053 · Cited by 589 · see citing works
Newton, K. M., Peissig, P. L., Kho, A. N., Bielinski, S. J., Berg, R. L., Choudhary, V., Basford, M., Chute, C. G., Kullo, I. J., Li, R., et al. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-000896 · Cited by 414 · see citing works
Mermelstein, L. D., & Papoutsakis, E. T. (1993) · Applied and Environmental Microbiology · doi:10.1128/aem.59.4.1077-1081.1993 · Cited by 291 · see citing works
The Learning Healthcare System: Where are we now? A systematic review
Budrionis, A., & Bellika, J. G. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.09.018 · Cited by 261 · see citing works
Expression of cloned homologous fermentative genes in Clostridium acetobutylicum ATCC 824
Mermelstein, L. D., Welker, N. E., Bennett, G. N., & Papoutsakis, E. T. (1992) · Nature Biotechnology · doi:10.1038/nbt0292-190 · Cited by 249 · see citing works
Harris, L. M., Welker, N. E., & Papoutsakis, E. T. (2002) · Journal of Bacteriology · doi:10.1128/jb.184.13.3586-3597.2002 · Cited by 230 · see citing works
Vasconcelos, I., Girbal, L., & Soucaille, P. (1994) · Journal of Bacteriology · doi:10.1128/jb.176.5.1443-1450.1994 · Cited by 228 · see citing works
Self-citationMolecular characterization of the 1,3-propanediol (1,3-PD) operon of Clostridium butyricum
Raynaud, C., Sarçabal, P., Meynial‐Salles, I., Croux, C., & Soucaille, P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0734105100 · Cited by 221 · see citing works
Self-citationGreen, E. M., Boynton, Z. L., Harris, L. M., Rudolph, F. B., Papoutsakis, E. T., & Bennett, G. N. (1996) · Microbiology · doi:10.1099/13500872-142-8-2079 · Cited by 216 · see citing works
Richesson, R. L., Hammond, W., Nahm, M., Wixted, D., Simon, G., Robinson, J., Bauck, A. E., Cifelli, D., Smerek, M. M., Dickerson, J. F., et al. (2013) · JAMIA Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-001926 · Cited by 204 · see citing works
Integration of DNA into bacterial chromosomes from plasmids without a counter-selection marker
Heap, J. T., Ehsaan, M., Cooksley, C. M., Ng, Y.-K., Cartman, S. T., Winzer, K., & Minton, N. P. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1321 · Cited by 201 · see citing works
Wiesenborn, D. P., Rudolph, F. B., & Papoutsakis, E. T. (1988) · Applied and Environmental Microbiology · doi:10.1128/aem.54.11.2717-2722.1988 · Cited by 200 · see citing works
A new mutation delivery system for genome‐scale approaches in Bacillus subtilis
Fabret, C., Ehrlich, S. D., & Noirot, P. H. (2002) · Molecular Microbiology · doi:10.1046/j.1365-2958.2002.03140.x · Cited by 169 · see citing works
Shao, L., Hu, S., Yang, Y., Gu, Y., Chen, J., Yang, Y., Jiang, W., & Yang, S. (2007) · Cell Research · doi:10.1038/cr.2007.91 · Cited by 165 · see citing works
Sillers, R., Chow, A., Tracy, B. P., & Papoutsakis, E. T. (2008) · Metabolic Engineering · doi:10.1016/j.ymben.2008.07.005 · Cited by 161 · see citing works
Belard, A., Buchman, T. G., Forsberg, J. A., Potter, B. K., Dente, C. J., Kirk, A. D., & Elster, E. A. (2016) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-016-9849-1 · Cited by 160 · see citing works
Murphy, S. N., Bernstam, E. V., Kreda, D., McCOY, J. M., Adida, B., Mandl, K. D., Mandel, J. C., Ramoni, R. B., & Kohane, I. S. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 156 · see citing works
Targeted mutagenesis of the Clostridium acetobutylicum acetone–butanol–ethanol fermentation pathway
Cooksley, C. M., Zhang, Y., Wang, H., Redl, S., Winzer, K., & Minton, N. P. (2012) · Metabolic Engineering · doi:10.1016/j.ymben.2012.09.001 · Cited by 148 · see citing works
Al-Hinai, M. A., Fast, A. G., & Papoutsakis, E. T. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.02214-12 · Cited by 122 · see citing works
Big data and visual analytics in anaesthesia and health care
Allan F. Simpao, M., Ahumada, L. M., & Rehman, M. A. (2015) · British Journal of Anaesthesia · doi:10.1093/bja/aeu552 · Cited by 103 · see citing works
A dashboard-based system for supporting diabetes care
Dagliati, A., Sacchi, L., Tibollo, V., Cogni, G., Teliti, M., Martínez-Millana, A., Traver, V., Segagni, D., Posada, J., Ottaviano, M., et al. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx159 · Cited by 95 · see citing works
Simpao, A. F., Ahumada, L. M., Desai, B. R., Bonafide, C. P., Gálvez, J. A., Rehman, M. A., Jawad, A. F., Palma, K. L., & Shelov, E. D. (2015) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002538 · Cited by 94 · see citing works
Rapid Learning: A Breakthrough Agenda
Etheredge, L. M. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0043 · Cited by 94 · see citing works
A Quantitative System-Scale Characterization of the Metabolism of Clostridium acetobutylicum
Yoo, M., Bestel‐Corre, G., Croux, C., Rivière, A., Meynial‐Salles, I., & Soucaille, P. (2015) · mBio · doi:10.1128/mbio.01808-15 · Cited by 82 · see citing works
Self-citationDeeny, S. R., & Steventon, A. (2015) · BMJ Quality & Safety · doi:10.1136/bmjqs-2015-004278 · Cited by 80 · see citing works
Metabolic flexibility of Clostridium acetobutylicum in response to methyl viologen addition
Peguin, S., Goma, G., Delorme, P., & Soucaille, P. (1994) · Applied Microbiology and Biotechnology · doi:10.1007/bf00173928 · Cited by 79 · see citing works
Self-citationThe Challenge of Big Data in Public Helth: An Opportunity for Visual Analytics
Sedig, K., & Ola, O. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i3.4933 · Cited by 78 · see citing works
The NIH Big Data to Knowledge (BD2K) initiative
Bourne, P. E., Bonazzi, V. R., Dunn, M. C., Green, E. D., Guyer, M. S., Komatsoulis, G. A., Larkin, J. E., & Russell, B. M. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv136 · Cited by 78 · see citing works
IBM’s Health Analytics and Clinical Decision Support
Sun, J., Knoop, S., Shabo, A., Carmeli, B., Sow, D., Syeda-Mahmood, T. F., Rapp, W., & Kohn, M. S. (2014) · Yearbook of Medical Informatics · doi:10.15265/iy-2014-0002 · Cited by 77 · see citing works
Application and Exploration of Big Data Mining in Clinical Medicine
Zhang, Y., Guo, S., Han, L., & Li, T. (2016) · Chinese Medical Journal · doi:10.4103/0366-6999.178019 · Cited by 74 · see citing works
Early Experiences With Big Data At An Academic Medical Center
Halamka, J. D. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0031 · Cited by 73 · see citing works
Developing a data infrastructure for a learning health system: the PORTAL network
McGlynn, E. A., Lieu, T. A., Durham, M. L., Bauck, A. E., Laws, R., Go, A. S., Chen, J., Feigelson, H. S., Corley, D. A., Young, D. R., et al. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002746 · Cited by 69 · see citing works
An informatics research agenda to support precision medicine: seven key areas
Tenenbaum, J. D., Avillach, P., Benham-Hutchins, M. M., Breitenstein, M. K., Crowgey, E. L., Hoffman, M. A., Jiang, X., Madhavan, S., Mattison, J. E., Nagarajan, R., et al. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv213 · Cited by 64 · see citing works
Plasmid replication stimulates DNA recombination in Bacillus subtilis
Noirot, P., Petit, M., & Ehrlich, S. D. (1987) · Journal of Molecular Biology · doi:10.1016/0022-2836(87)90509-2 · Cited by 62 · see citing works
Inactivation of an Aldehyde/Alcohol Dehydrogenase Gene from Clostridium acetobutylicum ATCC 824
Green, E. M., & Bennett, G. N. (1996) · Humana Press eBooks · doi:10.1007/978-1-4612-0223-3_19 · Cited by 59 · see citing works
Mane, K. K., Bizon, C., Schmitt, C., Owen, P., Burchett, B. M., Pietrobon, R. S., & Gersing, K. R. (2011) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2011.09.003 · Cited by 53 · see citing works
Janulaitis, A., Vaisvila, R., Timinskas, A., Klimašauskas, S., & Butkus, V. (1992) · Nucleic Acids Research · doi:10.1093/nar/20.22.6051 · Cited by 52 · see citing works
SMART-on-FHIR implemented over i2b2
Wagholikar, K. B., Mandel, J. C., Klann, J., et al. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw079 · Cited by 50 · see citing works
Induction of DNA amplification in the Bacillus subtilis chromosome.
Petit, M., Mesas, J. M., Noirot, P. H., Morel-Deville, F., & Ehrlich, S. D. (1992) · The EMBO Journal · doi:10.1002/j.1460-2075.1992.tb05176.x · Cited by 49 · see citing works
Meynial‐Salles, I., Cervin, M. A., & Soucaille, P. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.4.2140-2144.2005 · Cited by 46 · see citing works
Self-citationChui, K. K. H., Wenger, J., Cohen, S. A., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014683 · Cited by 44 · see citing works
Inactivation of an aldehyde/alcohol dehydrogenase gene fromClostridium acetobutylicum ATCC 824
Green, E. M., & Bennett, G. N. (1996) · Applied Biochemistry and Biotechnology · doi:10.1007/bf02941702 · Cited by 44 · see citing works
Consecutive gene deletions in Mycobacterium smegmatis using the yeast FLP recombinase
Stephan, J., Stemmer, V., & Niederweis, M. (2004) · Gene · doi:10.1016/j.gene.2004.08.028 · Cited by 42 · see citing works
Regulation of transcription by unnatural amino acids
Liu, C. C., Qi, L. S., Yanofsky, C., & Arkin, A. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1741 · Cited by 38 · see citing works
Cánovas-Segura, B., Campos, M., Morales, A., Juárez, J. M., & Palacios, F. (2016) · Progress in Artificial Intelligence · doi:10.1007/s13748-016-0089-x · Cited by 35 · see citing works
An ICT infrastructure to integrate clinical and molecular data in oncology research
Segagni, D., Tibollo, V., Dagliati, A., et al. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-s4-s5 · Cited by 31 · see citing works
Big Data in Medical Informatics: Improving Education Through Visual Analytics
Vaitsis, C., Nilsson, G. H., & Zary, N. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-432-9-1163 · Cited by 27 · see citing works
Spatiotemporal data visualisation for homecare monitoring of elderly people
Juárez, J. M., Ochotorena, J. M., Campos, M., et al. (2015) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2015.05.008 · Cited by 26 · see citing works
Gálvez, J. A., Ahumada, L. M., Simpao, A. F., et al. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002241 · Cited by 24 · see citing works
Chen, Y., & Yang, H. Y. (2014) · doi:10.1109/embc.2014.6944578 · Cited by 23 · see citing works
A data gathering framework to collect Type 2 diabetes patients data
Dagliati, A., Sacchi, L., Bucalo, M., et al. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864349 · Cited by 20 · see citing works
Big Data and Predictive Analytics: What's New?
Earley, S. (2014) · IT Professional · doi:10.1109/mitp.2014.3 · Cited by 19 · see citing works
Can Big Data Transform Electronic Health Records Into Learning Health Systems?
Harper, E. M. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-415-2-470 · Cited by 19 · see citing works
Informatics and the Learning Healthcare System
Skiba, D. J. (2011) · Nursing Education Perspectives · doi:10.5480/1536-5026-32.5.334 · Cited by 18 · see citing works
Harle, C. A., Lipori, G. P., & Hurley, R. W. (2016) · eGEMs (Generating Evidence & Methods to improve patient outcomes) · doi:10.13063/2327-9214.1240 · Cited by 17 · see citing works
Millat, T., Voigt, C., Janssen, H., Cooksley, C. M., Winzer, K., Minton, N. P., Bahl, H., Fischer, R., & Olaf Wolkenhauer, A. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5987-x · Cited by 16 · see citing works
Wang, L., Liu, J., Li, Y., et al. (2015) · BMC Systems Biology · doi:10.1186/s12918-015-0152-4 · Cited by 16 · see citing works
User Needs and Requirements Analysis for Big Data Healthcare Applications
Zillner, S., Lasierra, N., Faix, W. G., et al. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-432-9-657 · Cited by 13 · see citing works
Kaltoft, M. K., Nielsen, J. B., Salkeld, G. P., et al. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-432-9-975 · Cited by 6 · see citing works
Yazdanpanah, M., Chen, C., & Graham, J. (2013) · Annals of Human Genetics · doi:10.1111/ahg.12035 · Cited by 4 · see citing works
Metabolic engineering of Clostridium acetobutylicum ATCC 824 for increased butanol production
Lee, S. Y., Jang, Y., Lee, J. Y., & Lee, J. (2010) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2010.10.017 · Cited by 4 · see citing works
Self-citationHoda, M. F., Cheung, M., & Wickramasinghe, N. S. (2013) · Studies in health technology and informatics · doi:10.3233/978-1-61499-289-9-926 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Liew, F., Martin, M. E., Tappel, R. C., Heijstra, B. D., Mihalcea, C., & Köpke, M. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00694 · Cited by 485 · see citing works
Reviving the Weizmann process for commercial n-butanol production
Nguyen, N.-P.-T., Raynaud, C., Meynial‐Salles, I., & Soucaille, P. (2018) · Nature Communications · doi:10.1038/s41467-018-05661-z · Cited by 117 · see citing works
Self-citationRecent Developments of the Synthetic Biology Toolkit for Clostridium
Joseph, R. C., Kim, N. M., & Sandoval, N. R. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00154 · Cited by 109 · see citing works
A roadmap for gene system development in Clostridium
Minton, N. P., Ehsaan, M., Humphreys, C. M., Little, G. T., Baker, J., Henstra, A. M., Liew, F. E., Kelly, M. L., Sheng, L., Schwarz, K. M., et al. (2016) · Anaerobe · doi:10.1016/j.anaerobe.2016.05.011 · Cited by 103 · see citing works
A two-plasmid inducible CRISPR/Cas9 genome editing tool for Clostridium acetobutylicum
Wasels, F., Jean-Marie, J., Collas, F., López-Contreras, A. M., & Ferreira, N. L. (2017) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2017.06.010 · Cited by 98 · see citing works
Genome Editing in Clostridium saccharoperbutylacetonicum N1-4 with the CRISPR-Cas9 System
Wang, S., Dong, S., Wang, P., Tao, Y., & Wang, Y. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.00233-17 · Cited by 94 · see citing works
Engineering Clostridium organisms as microbial cell-factories: challenges & opportunities
Charubin, K., Bennett, R. K., Fast, A. G., & Papoutsakis, E. T. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.07.012 · Cited by 78 · see citing works
Development and application of a CRISPR/Cas9 system for Bacillus licheniformis genome editing
Zhou, C., Liu, H., Yuan, F., Chai, H., Wang, H., Liu, F., Li, Y., Zhang, H., & Lu, F. (2018) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2018.10.170 · Cited by 53 · see citing works
Yoo, M., Croux, C., Meynial‐Salles, I., & Soucaille, P. (2016) · Biotechnology for Biofuels · doi:10.1186/s13068-016-0507-0 · Cited by 50 · see citing works
Self-citationFoulquier, C., Rivière, A., Heulot, M., Reis, S. D., Perdu, C., Girbal, L., Pinault, M., Dusséaux, S., Yoo, M., Soucaille, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32269-1 · Cited by 46 · see citing works
Self-citationXu, M., Zhao, J., Yu, L., & Yang, S. (2017) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2017.10.010 · Cited by 37 · see citing works
Mathematical modelling of clostridial acetone-butanol-ethanol fermentation
Millat, T., & Winzer, K. (2017) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-017-8137-4 · Cited by 33 · see citing works
Luo, Z., Yan, Y., Du, S., Zhu, Y., Pan, F., Wang, R., Xu, Z., Xu, X., Li, S., & Xu, H. L. (2022) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2022.2095499 · Cited by 32 · see citing works
Metabolic flexibility of a butyrate pathway mutant of Clostridium acetobutylicum
Yoo, M., Croux, C., Meynial‐Salles, I., & Soucaille, P. (2017) · Metabolic Engineering · doi:10.1016/j.ymben.2017.01.011 · Cited by 28 · see citing works
Self-citationLiu, D., Yang, Z., Wang, P., Niu, H., Zhuang, W., Chen, Y., Wu, J., Zhu, C., Ying, H., & Ouyang, P. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.03.012 · Cited by 28 · see citing works
Improved CRISPR/Cas9 Tools for the Rapid Metabolic Engineering of Clostridium acetobutylicum
Wilding-Steele, T., Ramette, Q., Jacottin, P., & Soucaille, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22073704 · Cited by 26 · see citing works
Self-citationBuilding a genome engineering toolbox in nonmodel prokaryotic microbes
Freed, E. F., Fenster, J. A., Smolinski, S. L., Walker, J. E., Henard, C. A., Gill, R. T., & Eckert, C. A. (2018) · Biotechnology and Bioengineering · doi:10.1002/bit.26727 · Cited by 24 · see citing works
Atmadjaja, A. N., Holby, V., Harding, A. J., Krabben, P., Smith, H. K., & Jenkinson, E. R. (2019) · FEMS Microbiology Letters · doi:10.1093/femsle/fnz059 · Cited by 23 · see citing works
Part by Part: Synthetic Biology Parts Used in Solventogenic Clostridia
Gyulev, I. S., Willson, B. J., Hennessy, R. C., Krabben, P., Jenkinson, E. R., & Thomas, G. H. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00327 · Cited by 22 · see citing works
Bai, S.-K., Hong, Y., & Wu, Y. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2021.125222 · Cited by 19 · see citing works
Huang, C.-N., Liebl, W., & Ehrenreich, A. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1260-3 · Cited by 19 · see citing works
Effects of orphan histidine kinases on clostridial sporulation progression and metabolism
Du, G., Zhu, C., Wu, Y., Kang, W., Xu, M., Yang, S., & Xue, C. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.27968 · Cited by 18 · see citing works
Function analysis of 5′-UTR of the cellulosomal xyl-doc cluster in Clostridium papyrosolvens
Zou, X., Ren, Z., Wang, N., Yin, C., Jiang, Y., Wang, Y., & Xu, C. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1040-0 · Cited by 18 · see citing works
Foulquier, C., Huang, C.-N., Nguyen, N.-P.-T., Thiel, A., Wilding-Steele, T., Soula, J., Yoo, M., Ehrenreich, A., Meynial‐Salles, I., Liebl, W., et al. (2019) · Biotechnology for Biofuels · doi:10.1186/s13068-019-1364-4 · Cited by 17 · see citing works
Self-citationSynthetic Biology Tools for Genome and Transcriptome Engineering of Solventogenic Clostridium
Kwon, S. W., Paari, K. A., Malaviya, A., & Jang, Y. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00282 · Cited by 17 · see citing works
Tan, Y., Liang, J., Lai, M., Wan, S., Luo, X., & Li, F. (2023) · Biotechnology Advances · doi:10.1016/j.biotechadv.2023.108272 · Cited by 16 · see citing works
Ehsaan, M., Yoo, M., Kuit, W., Foulquier, C., Soucaille, P., & Minton, N. P. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01714-w · Cited by 16 · see citing works
Self-citationGeneration and Characterization of Acid Tolerant Fibrobacter succinogenes S85
Wu, C., Spike, T. E., Klingeman, D. M., Rodríguez‐Barranco, M., Bremer, V. R., & Brown, S. D. (2017) · Scientific Reports · doi:10.1038/s41598-017-02628-w · Cited by 16 · see citing works
Gene editing by SSB/CRISPR-Cas9 ribonucleoprotein in bacteria
Chai, R., Sun, W., Xu, Z., Yao, X., Chen, S., Wang, H., Guo, J., Zhang, Q., Yang, Y., Li, T., et al. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.135065 · Cited by 16 · see citing works
Grassi, M. C. B., Carazzolle, M. F., Nakagawa, B. T. G., Ferrari, A., Nagamatsu, S. T., dos Santos, C. R., Murakami, M. T., Pirolla, R. A. S., & Pereira, G. A. G. (2018) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2018.09.012 · Cited by 13 · see citing works
Yoo, J. I., Sohn, Y. J., Son, J., Jo, S. Y., Pyo, J., Park, S. K., Choi, J., Joo, J. C., Kim, H. T., & Park, S. J. (2021) · Biotechnology Journal · doi:10.1002/biot.202000451 · Cited by 13 · see citing works
Biobutanol Production From Renewable Resources
Zhang, J., Wang, S., & Wang, Y. (2016) · Advances in bioenergy · doi:10.1016/bs.aibe.2016.09.001 · Cited by 12 · see citing works
Genetic Tools for the Enhancement of Probiotic Properties
Ortiz-Velez, L., & Britton, R. A. (2017) · Microbiology Spectrum · doi:10.1128/microbiolspec.bad-0018-2016 · Cited by 10 · see citing works
Zhu, C., Du, G., Zhang, J., & Xue, C. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.27796 · Cited by 9 · see citing works
Cap0037, a Novel Global Regulator of Clostridium acetobutylicum Metabolism
Nguyen, N.-P.-T., Linder, S., Flitsch, S. K., Schiel‐Bengelsdorf, B., Dürre, P., & Soucaille, P. (2016) · mBio · doi:10.1128/mbio.01218-16 · Cited by 8 · see citing works
Self-citationBao, T., Zhao, J., Zhang, Q., & Yang, S. (2019) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-09882-0 · Cited by 8 · see citing works
Patidar, P., & Prakash, T. (2022) · Current Research in Microbial Sciences · doi:10.1016/j.crmicr.2022.100146 · Cited by 7 · see citing works
Boudignon, E., Foulquier, C., & Soucaille, P. (2023) · Microorganisms · doi:10.3390/microorganisms11112696 · Cited by 4 · see citing works
Self-citationSchöllkopf, A. I., de Almeida, L. M. M., Krammer, K., Rivero, C. G., Liebl, W., & Ehrenreich, A. (2025) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-025-13404-6 · Cited by 1 · see citing works
Metabolic Engineering and the Synthetic Biology Toolbox forClostridium
Joseph, R. C., Kelley, S. Q., Kim, N. M., & Sandoval, N. R. (2021) · Metabolic Engineering · doi:10.1002/9783527823468.ch16 · Cited by 1 · see citing works
Genetic Tools for the Enhancement of Probiotic Properties
Ortiz-Velez, L., & Britton, R. A. (2018) · ASM Press eBooks · doi:10.1128/9781555819705.ch16
- Authors
- Croux, C., Nguyen, N.-P.-T., Lee, J., Raynaud, C., Saint-Prix, F., Gonzalez-Pajuelo, M., Meynial-Salles, I., & Soucaille, P.
- Affiliations
- Institut National des Sciences Appliquées de Toulouse (FR)
- Korea University (KR)
- METabolic Explorer (France) (FR)
- Corresponding author
- Soucaille, Philippe
- Venue
- Biotechnology for Biofuels
- Published
- 2016-02-02
- Volume
- 9
- Issue
- 1
- Pages
- 23-23
- ISSN
- 1754-6834 (ISSN-L)
- PMC
- PMC4736252
- OpenAlex
- W2261829810
- Cited by
- 41
- References
- 33
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 1 · 2019: 3 · 2018: 10 · 2017: 8 · 2016: 5
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Biotechnology for Biofuels (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Seventh Framework Programme (PEOPLE-ITN-2008-237942)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Keywords
- Clostridium acetobutylicum, gene deletion, gene replacement, uracil phosphoribosyltransferase, antibiotic resistance genes, type II restriction enzymes, counter-selection, acetone production, L-lactate production, functional genomics, metabolic engineering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review