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Tripathi S, Voogdt CGP, Bassler SO, Anderson M, Huang PH, Sakenova N, Capraz T, Jain S, Koumoutsi A, Bravo AM, Trotter V, Zimmerman M, Sonnenburg JL, Buie C, Typas A, Deutschbauer AM, Shiver AL, Huang KC. Randomly barcoded transposon mutant libraries for gut commensals I: Strategies for efficient library construction. Cell Rep 2024; 43:113517. [PMID: 38142397 DOI: 10.1016/j.celrep.2023.113517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/22/2023] [Accepted: 11/14/2023] [Indexed: 12/26/2023] Open
Abstract
Randomly barcoded transposon mutant libraries are powerful tools for studying gene function and organization, assessing gene essentiality and pathways, discovering potential therapeutic targets, and understanding the physiology of gut bacteria and their interactions with the host. However, construction of high-quality libraries with uniform representation can be challenging. In this review, we survey various strategies for barcoded library construction, including transposition systems, methods of transposon delivery, optimal library size, and transconjugant selection schemes. We discuss the advantages and limitations of each approach, as well as factors to consider when selecting a strategy. In addition, we highlight experimental and computational advances in arraying condensed libraries from mutant pools. We focus on examples of successful library construction in gut bacteria and their application to gene function studies and drug discovery. Given the need for understanding gene function and organization in gut bacteria, we provide a comprehensive guide for researchers to construct randomly barcoded transposon mutant libraries.
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Affiliation(s)
- Surya Tripathi
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Carlos Geert Pieter Voogdt
- Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany; Structural and Computational Biology Unit, EMBL Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Stefan Oliver Bassler
- Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, Grabengasse 1, 69117 Heidelberg, Germany
| | - Mary Anderson
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Po-Hsun Huang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Nazgul Sakenova
- Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Tümay Capraz
- Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sunit Jain
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Alexandra Koumoutsi
- Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Afonso Martins Bravo
- Department of Fundamental Microbiology, University of Lausanne, 1015 Lausanne, Switzerland
| | - Valentine Trotter
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Michael Zimmerman
- Structural and Computational Biology Unit, EMBL Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Justin L Sonnenburg
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Cullen Buie
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Athanasios Typas
- Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany; Structural and Computational Biology Unit, EMBL Meyerhofstraße 1, 69117 Heidelberg, Germany.
| | - Adam M Deutschbauer
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Anthony L Shiver
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
| | - Kerwyn Casey Huang
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
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Fu Y, Liang F, Li C, Warren A, Shin MK, Li L. Codon Usage Bias Analysis in Macronuclear Genomes of Ciliated Protozoa. Microorganisms 2023; 11:1833. [PMID: 37513005 PMCID: PMC10384029 DOI: 10.3390/microorganisms11071833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Ciliated protozoa (ciliates) are unicellular eukaryotes, several of which are important model organisms for molecular biology research. Analyses of codon usage bias (CUB) of the macronuclear (MAC) genome of ciliates can promote a better understanding of the genetic mode and evolutionary history of these organisms and help optimize codons to improve gene editing efficiency in model ciliates. In this study, the following indices were calculated: the guanine-cytosine (GC) content, the frequency of the nucleotides at the third position of codons (T3, C3, A3, G3), the effective number of codons (ENc), GC content at the 3rd position of synonymous codons (GC3s), and the relative synonymous codon usage (RSCU). Parity rule 2 plot analysis, Neutrality plot analysis, ENc plot analysis, and correlation analysis were employed to explore the main influencing factors of CUB. The results showed that the GC content in the MAC genomes of each of 21 ciliate species, the genomes of which were relatively complete, was lower than 50%, and the base compositions of GC and GC3s were markedly distinct. Synonymous codon analysis revealed that the codons in most of the 21 ciliates ended with A or T and four codons were the general putative optimal codons. Collectively, our results indicated that most of the ciliates investigated preferred using the codons with anof AT-ending and that codon usage bias was affected by gene mutation and natural selection.
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Affiliation(s)
- Yu Fu
- Laboratory of Marine Protozoan Biodiversity and Evolution, Marine College, Shandong University, Weihai 264209, China
| | - Fasheng Liang
- Laboratory of Marine Protozoan Biodiversity and Evolution, Marine College, Shandong University, Weihai 264209, China
| | - Congjun Li
- Laboratory of Marine Protozoan Biodiversity and Evolution, Marine College, Shandong University, Weihai 264209, China
| | - Alan Warren
- Department of Life Sciences, Natural History Museum, London SW7 5BD, UK
| | - Mann Kyoon Shin
- Department of Biology, University of Ulsan, Ulsan 44610, Republic of Korea
| | - Lifang Li
- Laboratory of Marine Protozoan Biodiversity and Evolution, Marine College, Shandong University, Weihai 264209, China
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Soga A, Shirozu T, Ko-Ketsu M, Fukumoto S. Improvement of an in vitro drug selection method for generating transgenic Plasmodium berghei parasites. Malar J 2019; 18:215. [PMID: 31238932 PMCID: PMC6593524 DOI: 10.1186/s12936-019-2851-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 06/19/2019] [Indexed: 11/20/2022] Open
Abstract
Background Reverse genetics approaches have become powerful tools to dissect the biology of malaria parasites. In a previous study, development of an in vitro drug selection method for generating transgenic parasite of Plasmodium berghei was reported. Using this method, two novel and independent selection markers using the P. berghei heat shock protein 70 promoter was previously established. While the approach permits the easy and flexible genetic manipulation of P. berghei, shortcomings include a low variety in promoter options to drive marker gene expression and increased complexity of the selection procedure. In this study, addressing these issues was attempted. Methods To secure a variety of promoters, the use of a P. berghei elongation factor-1α promoter for marker gene expression was attempted. To simplify the procedure of in vitro selection, the establishment of a two cell-cycle culture method and its application for drug selection were attempted. Results The P. berghei elongation factor-1α (pbef-1α) promoter, which is commonly used to drive marker gene expression, was successfully applied as an alternative promoter model for marker gene expression, using the parasite’s codon-optimized marker sequence. To simplify the in vitro selection method, a two cell-cycle culture method in which the merozoite was released by filtration of the culture containing matured schizont-infected erythrocytes was also developed and successfully applied for drug selection. Conclusion The pbef-1α promoter was successfully applied in an in vitro selection system. The in vitro selection procedure also could be simplified for practical use using a two cell-cycle culture method. These improvements provide a more versatile platform for the genetic manipulation of P. berghei.
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Affiliation(s)
- Akira Soga
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Inada-cho, Obihiro, Hokkaido, 080-8555, Japan
| | - Takahiro Shirozu
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Inada-cho, Obihiro, Hokkaido, 080-8555, Japan
| | - Mami Ko-Ketsu
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Inada-cho, Obihiro, Hokkaido, 080-8555, Japan
| | - Shinya Fukumoto
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Inada-cho, Obihiro, Hokkaido, 080-8555, Japan.
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Kim J, Liu L, Hu Z, Jin E. Identification and Functional Analysis of the psaD Promoter of Chlorella vulgaris Using Heterologous Model Strains. Int J Mol Sci 2018; 19:E1969. [PMID: 29986409 PMCID: PMC6073903 DOI: 10.3390/ijms19071969] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 06/22/2018] [Accepted: 07/05/2018] [Indexed: 12/18/2022] Open
Abstract
Chlorella has great potential as a bio-factory for production of value-added compounds. To produce the desired chemicals more efficiently in Chlorella, genetic tools for modification of Chlorella need to be developed, especially an endogenous promoter. In this study, the promoter of photosystem I protein D (psaD) from Chlorella vulgaris UTEX395 was identified. Computational analysis revealed the presence of several putative cis-acting elements, including a potential core element, and light-responsive or stress-responsive elements. Gene expression analysis in heterologous expression system in Chlamydomonasreinhardtii and Nicotianabenthamiana showed that CvpsaD promoter can be used to drive the expression of genes. Functional analysis of this promoter suggested that the initiator element (Inr) is important for its function (i.e., TATA-less promoter) and that an additional factor (e.g., downstream of the transcriptional start site) might be needed for light response. We have shown that the CvpsaD promoter is functional, but not sufficiently strong, both in microalgae and higher plant.
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Affiliation(s)
- Jongrae Kim
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, Korea.
| | - Linpo Liu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Zanmin Hu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - EonSeon Jin
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, Korea.
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Jiménez JP, Chaparro Giraldo A. Diseño in silico y evaluación funcional de genes semisintéticos que confieran tolerancia a fosfinotricina. REVISTA COLOMBIANA DE BIOTECNOLOGÍA 2016. [DOI: 10.15446/rev.colomb.biote.v18n2.52206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
La tolerancia a herbicidas es una de las características más usadas en los cultivos GM, con resultados positivos para los agricultores y el ambiente. El punto de partida, es el desarrollo de casetes de expresión que expresen la característica de interés, inicialmente construidos mediante técnicas de biología molecular convencionales. Actualmente, con herramientas de bioinformática y biología sintética, es posible diseñar y probar el constructo in silico, para luego contratar su síntesis. Esta aproximación, permite optimizar la expresión mediante la modificación del uso codónico. En este trabajo se diseñaron y evaluaron en Nicotiana benthamiana versiones semisintéticas de genes que confieren tolerancia al herbicida fosfinotricina. Se realizó un análisis de libertad de operación, con el fin de asegurar que los constructos diseñados no violen derechos de propiedad intelectual en Colombia. Se obtuvieron dos casetes de expresión con libertad de operación, que expresan versiones del gen bar. Palabras clave: cultivos GM, libertad de operación, tolerancia a herbicidas, uso codónico.
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Svistoonoff S, Hocher V, Gherbi H. Actinorhizal root nodule symbioses: what is signalling telling on the origins of nodulation? CURRENT OPINION IN PLANT BIOLOGY 2014; 20:11-8. [PMID: 24691197 DOI: 10.1016/j.pbi.2014.03.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 02/17/2014] [Accepted: 03/03/2014] [Indexed: 05/07/2023]
Abstract
Two groups of bacteria are able to induce the formation of nitrogen-fixing nodules: proteobacteria called rhizobia, which associate with Legumes or Parasponia and actinobateria from the genus Frankia which are able to interact with ∼220 species belonging to eight families called actinorhizal plants. Legumes and different lineages of actinorhizal plants differ in bacterial partners, nodule organogenesis and infection patterns and have independent evolutionary origins. However, recent technical achievements are revealing a variety of conserved signalling molecules and gene networks. Actinorhizal interactions display several primitive features and thus provide the ideal opportunity to determine the minimal molecular toolkit needed to build a nodule and to understand the evolution of root nodule symbioses.
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Affiliation(s)
- Sergio Svistoonoff
- Institut de Recherche pour le Développement (IRD), Unité mixte de recherche DIADE, 911 Avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France.
| | - Valérie Hocher
- Institut de Recherche pour le Développement (IRD), Unité mixte de recherche DIADE, 911 Avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France
| | - Hassen Gherbi
- Institut de Recherche pour le Développement (IRD), Unité mixte de recherche DIADE, 911 Avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France
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