8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Morphological and Transcriptional Responses to CRISPRi Knockdown of Essential Genes in Escherichia coli

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          ABSTRACT

          CRISPR interference (CRISPRi) has facilitated the study of essential genes in diverse organisms using both high-throughput and targeted approaches. Despite the promise of this technique, no comprehensive arrayed CRISPRi library targeting essential genes exists for the model bacterium Escherichia coli, or for any Gram-negative species. Here, we built and characterized such a library. Each of the ∼500 strains in our E. coli library contains an inducible, chromosomally integrated single guide RNA (sgRNA) targeting an essential (or selected nonessential) gene and can be mated with a pseudo-Hfr donor strain carrying a dcas9 cassette to create a CRISPRi knockdown strain. Using this system, we built an arrayed library of CRISPRi strains and performed population and single-cell growth and morphology measurements as well as targeted follow-up experiments. These studies found that inhibiting translation causes an extended lag phase, identified new modulators of cell morphology, and revealed that the morphogene mreB is subject to transcriptional feedback regulation, which is critical for the maintenance of morphology. Our findings highlight canonical and noncanonical roles for essential genes in numerous aspects of cellular homeostasis.

          Related collections

          Most cited references68

          • Record: found
          • Abstract: found
          • Article: not found

          The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.

          Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader's ability to evaluate critically the quality of the results presented or to repeat the experiments. The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement. Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection

            We have systematically made a set of precisely defined, single-gene deletions of all nonessential genes in Escherichia coli K-12. Open-reading frame coding regions were replaced with a kanamycin cassette flanked by FLP recognition target sites by using a one-step method for inactivation of chromosomal genes and primers designed to create in-frame deletions upon excision of the resistance cassette. Of 4288 genes targeted, mutants were obtained for 3985. To alleviate problems encountered in high-throughput studies, two independent mutants were saved for every deleted gene. These mutants—the ‘Keio collection'—provide a new resource not only for systematic analyses of unknown gene functions and gene regulatory networks but also for genome-wide testing of mutational effects in a common strain background, E. coli K-12 BW25113. We were unable to disrupt 303 genes, including 37 of unknown function, which are candidates for essential genes. Distribution is being handled via GenoBase (http://ecoli.aist-nara.ac.jp/).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression.

              Targeted gene regulation on a genome-wide scale is a powerful strategy for interrogating, perturbing, and engineering cellular systems. Here, we develop a method for controlling gene expression based on Cas9, an RNA-guided DNA endonuclease from a type II CRISPR system. We show that a catalytically dead Cas9 lacking endonuclease activity, when coexpressed with a guide RNA, generates a DNA recognition complex that can specifically interfere with transcriptional elongation, RNA polymerase binding, or transcription factor binding. This system, which we call CRISPR interference (CRISPRi), can efficiently repress expression of targeted genes in Escherichia coli, with no detectable off-target effects. CRISPRi can be used to repress multiple target genes simultaneously, and its effects are reversible. We also show evidence that the system can be adapted for gene repression in mammalian cells. This RNA-guided DNA recognition platform provides a simple approach for selectively perturbing gene expression on a genome-wide scale. Copyright © 2013 Elsevier Inc. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                12 October 2021
                Sep-Oct 2021
                12 October 2021
                : 12
                : 5
                : e02561-21
                Affiliations
                [a ] Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, California, USA
                [b ] Department of Bioengineering, Stanford Universitygrid.168010.e, , Stanford, California, USA
                [c ] Department of Microbiology and Immunology, Stanford Universitygrid.168010.e, School of Medicine, Stanford, California, USA
                [d ] Pharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin, USA
                [e ] Chan Zuckerberg Biohub, San Francisco, California, USA
                National Cancer Institute
                Author notes

                Melanie R. Silvis, Manohary Rajendram, Handuo Shi, and Hendrik Osadnik contributed equally to this work. Author order was determined by mutual agreement.

                Author information
                https://orcid.org/0000-0002-1688-6905
                https://orcid.org/0000-0003-2722-8382
                https://orcid.org/0000-0002-8043-8138
                Article
                mBio02561-21 mbio.02561-21
                10.1128/mBio.02561-21
                8510551
                34634934
                7f020c0b-9079-452d-9307-7c485f51fde1
                Copyright © 2021 Silvis et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 2 September 2021
                : 9 September 2021
                Page count
                supplementary-material: 8, Figures: 5, Tables: 0, Equations: 0, References: 68, Pages: 16, Words: 11602
                Funding
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: GM007810a
                Award Recipient :
                Funded by: National Science Foundation (NSF), FundRef https://doi.org/10.13039/100000001;
                Award ID: GRF
                Award Recipient :
                Funded by: Agilent Foundation, FundRef https://doi.org/10.13039/100000941;
                Award ID: Agilent Graduate Fellowship
                Award Recipient :
                Funded by: Stanford University (SU), FundRef https://doi.org/10.13039/100005492;
                Award ID: Stanford Interdisciplinary Graduate Fellowship
                Award Recipient :
                Funded by: James S. McDonnell Foundation (JSMF), FundRef https://doi.org/10.13039/100000913;
                Award ID: Postdoctoral Fellowship
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: F32AI133917
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: K22AI137122
                Award ID: F32 GM108222
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: RM1 GM135102
                Award Recipient :
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: R35 GM118061
                Award Recipient :
                Funded by: Innovative Genomics Institute (IGI), FundRef https://doi.org/10.13039/100014220;
                Award Recipient :
                Funded by: National Science Foundation (NSF), FundRef https://doi.org/10.13039/100000001;
                Award ID: MCB-1149328
                Award Recipient :
                Funded by: Allen Discovery Center at Stanford on Systems Modeling of Infection;
                Award Recipient :
                Funded by: Chan Zuckerberg Initiative (CZI), FundRef https://doi.org/10.13039/100014989;
                Award Recipient :
                Categories
                Research Article
                microbial-genetics, Microbial Genetics
                Custom metadata
                September/October 2021

                Life sciences
                arrayed library,crispri,escherichia coli,essential genes,microscopy
                Life sciences
                arrayed library, crispri, escherichia coli, essential genes, microscopy

                Comments

                Comment on this article