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Luna-Cerralbo D, Blasco-Machín I, Adame-Pérez S, Lampaya V, Larraga A, Alejo T, Martínez-Oliván J, Broset E, Bruscolini P. A statistical-physics approach for codon usage optimisation. Comput Struct Biotechnol J 2024; 23:3050-3064. [PMID: 39188969 PMCID: PMC11345917 DOI: 10.1016/j.csbj.2024.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/25/2024] [Accepted: 07/25/2024] [Indexed: 08/28/2024] Open
Abstract
The concept of "codon optimisation" involves adjusting the coding sequence of a target protein to account for the inherent codon preferences of a host species and maximise protein expression in that species. However, there is still a lack of consensus on the most effective approach to achieve optimal results. Existing methods typically depend on heuristic combinations of different variables, leaving the user with the final choice of the sequence hit. In this study, we propose a new statistical-physics model for codon optimisation. This model, called the Nearest-Neighbour interaction (NN) model, links the probability of any given codon sequence to the "interactions" between neighbouring codons. We used the model to design codon sequences for different proteins of interest, and we compared our sequences with the predictions of some commercial tools. In order to assess the importance of the pair interactions, we additionally compared the NN model with a simpler method (Ind) that disregards interactions. It was observed that the NN method yielded similar Codon Adaptation Index (CAI) values to those obtained by other commercial algorithms, despite the fact that CAI was not explicitly considered in the algorithm. By utilising both the NN and Ind methods to optimise the reporter protein luciferase, and then analysing the translation performance in human cell lines and in a mouse model, we found that the NN approach yielded the highest protein expression in vivo. Consequently, we propose that the NN model may prove advantageous in biotechnological applications, such as heterologous protein expression or mRNA-based therapies.
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Affiliation(s)
- David Luna-Cerralbo
- Department of Theoretical Physics, Faculty of Science, University of Zaragoza, c/ Pedro Cerbuna s/n, Zaragoza, 50009, Spain
- Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, c/ Mariano Esquillor s/n, Zaragoza, 50018, Spain
| | - Irene Blasco-Machín
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Susana Adame-Pérez
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Verónica Lampaya
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Ana Larraga
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Teresa Alejo
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Juan Martínez-Oliván
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Esther Broset
- Certest Pharma, Certest Biotec S.L, Polígono Industrial Río Gallego II, Calle J, 1, San Mateo de Gállego, 50840, Spain
| | - Pierpaolo Bruscolini
- Department of Theoretical Physics, Faculty of Science, University of Zaragoza, c/ Pedro Cerbuna s/n, Zaragoza, 50009, Spain
- Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, c/ Mariano Esquillor s/n, Zaragoza, 50018, Spain
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Zhao Y, Li L, Wei L, Wang Y, Han Z. Advancements and Future Prospects of CRISPR-Cas-Based Population Replacement Strategies in Insect Pest Management. INSECTS 2024; 15:653. [PMID: 39336621 PMCID: PMC11432399 DOI: 10.3390/insects15090653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 08/22/2024] [Accepted: 08/28/2024] [Indexed: 09/30/2024]
Abstract
Population replacement refers to the process by which a wild-type population of insect pests is replaced by a population possessing modified traits or abilities. Effective population replacement necessitates a gene drive system capable of spreading desired genes within natural populations, operating under principles akin to super-Mendelian inheritance. Consequently, releasing a small number of genetically edited insects could potentially achieve population control objectives. Currently, several gene drive approaches are under exploration, including the newly adapted CRISPR-Cas genome editing system. Multiple studies are investigating methods to engineer pests that are incapable of causing crop damage or transmitting vector-borne diseases, with several notable successful examples documented. This review summarizes the recent advancements of the CRISPR-Cas system in the realm of population replacement and provides insights into research methodologies, testing protocols, and implementation strategies for gene drive techniques. The review also discusses emerging trends and prospects for establishing genetic tools in pest management.
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Affiliation(s)
- Yu Zhao
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Longfeng Li
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Liangzi Wei
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Yifan Wang
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Zhilin Han
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
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Dall NR, Mendonça CATF, Torres Vera HL, Marqusee S. The importance of the location of the N-terminus in successful protein folding in vivo and in vitro. Proc Natl Acad Sci U S A 2024; 121:e2321999121. [PMID: 39145938 PMCID: PMC11348275 DOI: 10.1073/pnas.2321999121] [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: 12/15/2023] [Accepted: 07/16/2024] [Indexed: 08/16/2024] Open
Abstract
Protein folding in the cell often begins during translation. Many proteins fold more efficiently cotranslationally than when refolding from a denatured state. Changing the vectorial synthesis of the polypeptide chain through circular permutation could impact functional, soluble protein expression and interactions with cellular proteostasis factors. Here, we measure the solubility and function of every possible circular permutant (CP) of HaloTag in Escherichia coli cell lysate using a gel-based assay, and in living E. coli cells via FACS-seq. We find that 78% of HaloTag CPs retain protein function, though a subset of these proteins are also highly aggregation-prone. We examine the function of each CP in E. coli cells lacking the cotranslational chaperone trigger factor and the intracellular protease Lon and find no significant changes in function as a result of modifying the cellular proteostasis network. Finally, we biophysically characterize two topologically interesting CPs in vitro via circular dichroism and hydrogen-deuterium exchange coupled with mass spectrometry to reveal changes in global stability and folding kinetics with circular permutation. For CP33, we identify a change in the refolding intermediate as compared to wild-type (WT) HaloTag. Finally, we show that the strongest predictor of aggregation-prone expression in cells is the introduction of termini within the refolding intermediate. These results, in addition to our finding that termini insertion within the conformationally restrained core is most disruptive to protein function, indicate that successful folding of circular permutants may depend more on changes in folding pathway and termini insertion in flexible regions than on the availability of proteostasis factors.
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Affiliation(s)
- Natalie R. Dall
- Department of Molecular and Cell Biology, University of California, Berkeley, CA94720
- California Institute for Quantitative Biosciences, University of California, Berkeley, CA94720
| | | | - Héctor L. Torres Vera
- Department of Molecular and Cell Biology, University of California, Berkeley, CA94720
| | - Susan Marqusee
- Department of Molecular and Cell Biology, University of California, Berkeley, CA94720
- California Institute for Quantitative Biosciences, University of California, Berkeley, CA94720
- Department of Chemistry, University of California, Berkeley, CA94720
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4
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Zhang S, Zhang J, Lin R, Lu C, Fang B, Shi J, Jiang T, Zhou M. Design and construction of light-regulated gene transcription and protein translation systems in yeast P. Pastoris. J Adv Res 2024:S2090-1232(24)00330-8. [PMID: 39117107 DOI: 10.1016/j.jare.2024.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/17/2024] [Accepted: 08/04/2024] [Indexed: 08/10/2024] Open
Abstract
INTRODUCTION P. pastoris is a common host for effective biosynthesis of heterologous proteins as well as small molecules. Accurate regulation of gene transcription and protein synthesis is necessary to coordinate synthetic gene circuits and optimize cellular energy distribution. Traditional methanol or other inducible promoters, natural or engineered, have defects in either fermentation safety or expression capacity. The utilization of chemical inducers typically adds complexity to the product purification process, but there is no other well-controlled protein synthesis system than promoters yet. OBJECTIVE The study aimed to address the aforementioned challenges by constructing light-regulated gene transcription and protein translation systems with excellent expression capacity and light sensitivity. METHODS Trans-acting factors were designed by linking the N. crassa blue-light sensor WC-1 with the activation domain of endogenous transcription factors. Light inducible or repressive promoters were then constructed through chimeric design of cis-elements (light-responsive elements, LREs) and endogenous promoters. Various configurations of trans-acting factor/LRE pairs, along with different LRE positions and copy numbers were tested for optimal promoter performance. In addition to transcription, a light-repressive translation system was constructed through the "rare codon brake" design. Rare codons were deliberately utilized to serve as brakes during protein synthesis, which were switched on and off through the light-regulated changes in the expression of the corresponding pLRE-tRNA. RESULTS As demonstrated with GFP, the light-inducible promoter 4pLRE-cPAOX1 was 70 % stronger than the constitutive promoter PGAP, with L/D ratio = 77. The light-repressive promoter PGAP-pLRE was strictly suppressed by light, with expression capacity comparable with PGAP in darkness. As for the light-repressive translation system, the "triple brake" design successfully eliminated leakage and achieved light repression on protein synthesis without any impact on mRNA expression. CONCLUSION The newly designed light-regulated transcription and translation systems offer innovative tools that optimize the application of P. pastoris in biotechnology and synthetic biology.
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Affiliation(s)
- Siyu Zhang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Jiazhen Zhang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Ru Lin
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Chaoyu Lu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Bohao Fang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Jiacheng Shi
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Tianyi Jiang
- China Innovation Center of Roche, Shanghai 201203, China
| | - Mian Zhou
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.
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Komar AA, Samatova E, Rodnina MV. Translation Rates and Protein Folding. J Mol Biol 2024; 436:168384. [PMID: 38065274 DOI: 10.1016/j.jmb.2023.168384] [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: 10/20/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 12/19/2023]
Abstract
The mRNA coding sequence defines not only the amino acid sequence of the protein, but also the speed at which the ribosomes move along the mRNA while making the protein. The non-uniform local kinetics - denoted as translational rhythm - is similar among mRNAs coding for related protein folds. Deviations from this conserved rhythm can result in protein misfolding. In this review we summarize the experimental evidence demonstrating how local translation rates affect cotranslational protein folding, with the focus on the synonymous codons and patches of charged residues in the nascent peptide as best-studied examples. Alterations in nascent protein conformations due to disturbed translational rhythm can persist off the ribosome, as demonstrated by the effects of synonymous codon variants of several disease-related proteins. Charged amino acid patches in nascent chains also modulate translation and cotranslational protein folding, and can abrogate translation when placed at the N-terminus of the nascent peptide. During cotranslational folding, incomplete nascent chains navigate through a unique conformational landscape in which earlier intermediate states become inaccessible as the nascent peptide grows. Precisely tuned local translation rates, as well as interactions with the ribosome, guide the folding pathway towards the native structure, whereas deviations from the natural translation rhythm may favor pathways leading to trapped misfolded states. Deciphering the 'folding code' of the mRNA will contribute to understanding the diseases caused by protein misfolding and to rational protein design.
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Affiliation(s)
- Anton A Komar
- Center for Gene Regulation in Health and Disease, Department of Biological, Geological and Environmental Sciences, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA; Department of Biochemistry and Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
| | - Ekaterina Samatova
- Max Planck Department of Physical Biochemistry, Max Planck Institute for Multidisciplinary Sciences, 37077 Goettingen, Germany
| | - Marina V Rodnina
- Max Planck Department of Physical Biochemistry, Max Planck Institute for Multidisciplinary Sciences, 37077 Goettingen, Germany.
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van der Sluijs P, Hoelen H, Schmidt A, Braakman I. The Folding Pathway of ABC Transporter CFTR: Effective and Robust. J Mol Biol 2024; 436:168591. [PMID: 38677493 DOI: 10.1016/j.jmb.2024.168591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/16/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
De novo protein folding into a native three-dimensional structure is indispensable for biological function, is instructed by its amino acid sequence, and occurs along a vectorial trajectory. The human proteome contains thousands of membrane-spanning proteins, whose biosynthesis begins on endoplasmic reticulum-associated ribosomes. Nearly half of all membrane proteins traverse the membrane more than once, including therapeutically important protein families such as solute carriers, G-protein-coupled receptors, and ABC transporters. These mediate a variety of functions like signal transduction and solute transport and are often of vital importance for cell function and tissue homeostasis. Missense mutations in multispan membrane proteins can lead to misfolding and cause disease; an example is the ABC transporter Cystic Fibrosis Transmembrane Conductance Regulator (CFTR). Even though our understanding of multispan membrane-protein folding still is rather rudimental, the cumulative knowledge of 20 years of basic research on CFTR folding has led to development of drugs that modulate the misfolded protein. This has provided the prospect of a life without CF to the vast majority of patients. In this review we describe our understanding of the folding pathway of CFTR in cells, which is modular and tolerates many defects, making it effective and robust. We address how modulator drugs affect folding and function of CFTR, and distinguish protein stability from its folding process. Since the domain architecture of (mammalian) ABC transporters are highly conserved, we anticipate that the insights we discuss here for folding of CFTR may lay the groundwork for understanding the general rules of ABC-transporter folding.
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Affiliation(s)
- Peter van der Sluijs
- Cellular Protein Chemistry, Bijvoet Centre for Biomolecular Research, Utrecht University, 3584 CH Utrecht, the Netherlands.
| | - Hanneke Hoelen
- Cellular Protein Chemistry, Bijvoet Centre for Biomolecular Research, Utrecht University, 3584 CH Utrecht, the Netherlands; Present address: GenDx, Yalelaan 48, 3584 CM Utrecht, The Netherlands
| | - Andre Schmidt
- Cellular Protein Chemistry, Bijvoet Centre for Biomolecular Research, Utrecht University, 3584 CH Utrecht, the Netherlands; 3D-Pharmxchange, Tilburg, the Netherlands
| | - Ineke Braakman
- Cellular Protein Chemistry, Bijvoet Centre for Biomolecular Research, Utrecht University, 3584 CH Utrecht, the Netherlands
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7
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Bhunjun C, Chen Y, Phukhamsakda C, Boekhout T, Groenewald J, McKenzie E, Francisco E, Frisvad J, Groenewald M, Hurdeal VG, Luangsa-ard J, Perrone G, Visagie C, Bai F, Błaszkowski J, Braun U, de Souza F, de Queiroz M, Dutta A, Gonkhom D, Goto B, Guarnaccia V, Hagen F, Houbraken J, Lachance M, Li J, Luo K, Magurno F, Mongkolsamrit S, Robert V, Roy N, Tibpromma S, Wanasinghe D, Wang D, Wei D, Zhao C, Aiphuk W, Ajayi-Oyetunde O, Arantes T, Araujo J, Begerow D, Bakhshi M, Barbosa R, Behrens F, Bensch K, Bezerra J, Bilański P, Bradley C, Bubner B, Burgess T, Buyck B, Čadež N, Cai L, Calaça F, Campbell L, Chaverri P, Chen Y, Chethana K, Coetzee B, Costa M, Chen Q, Custódio F, Dai Y, Damm U, Santiago A, De Miccolis Angelini R, Dijksterhuis J, Dissanayake A, Doilom M, Dong W, Álvarez-Duarte E, Fischer M, Gajanayake A, Gené J, Gomdola D, Gomes A, Hausner G, He M, Hou L, Iturrieta-González I, Jami F, Jankowiak R, Jayawardena R, Kandemir H, Kiss L, Kobmoo N, Kowalski T, Landi L, Lin C, Liu J, Liu X, Loizides M, Luangharn T, Maharachchikumbura S, Mkhwanazi GM, Manawasinghe I, Marin-Felix Y, McTaggart A, Moreau P, Morozova O, Mostert L, Osiewacz H, Pem D, Phookamsak R, Pollastro S, Pordel A, Poyntner C, Phillips A, Phonemany M, Promputtha I, Rathnayaka A, Rodrigues A, Romanazzi G, Rothmann L, Salgado-Salazar C, Sandoval-Denis M, Saupe S, Scholler M, Scott P, Shivas R, Silar P, Silva-Filho A, Souza-Motta C, Spies C, Stchigel A, Sterflinger K, Summerbell R, Svetasheva T, Takamatsu S, Theelen B, Theodoro R, Thines M, Thongklang N, Torres R, Turchetti B, van den Brule T, Wang X, Wartchow F, Welti S, Wijesinghe S, Wu F, Xu R, Yang Z, Yilmaz N, Yurkov A, Zhao L, Zhao R, Zhou N, Hyde K, Crous P. What are the 100 most cited fungal genera? Stud Mycol 2024; 108:1-411. [PMID: 39100921 PMCID: PMC11293126 DOI: 10.3114/sim.2024.108.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 03/17/2024] [Indexed: 08/06/2024] Open
Abstract
The global diversity of fungi has been estimated between 2 to 11 million species, of which only about 155 000 have been named. Most fungi are invisible to the unaided eye, but they represent a major component of biodiversity on our planet, and play essential ecological roles, supporting life as we know it. Although approximately 20 000 fungal genera are presently recognised, the ecology of most remains undetermined. Despite all this diversity, the mycological community actively researches some fungal genera more commonly than others. This poses an interesting question: why have some fungal genera impacted mycology and related fields more than others? To address this issue, we conducted a bibliometric analysis to identify the top 100 most cited fungal genera. A thorough database search of the Web of Science, Google Scholar, and PubMed was performed to establish which genera are most cited. The most cited 10 genera are Saccharomyces, Candida, Aspergillus, Fusarium, Penicillium, Trichoderma, Botrytis, Pichia, Cryptococcus and Alternaria. Case studies are presented for the 100 most cited genera with general background, notes on their ecology and economic significance and important research advances. This paper provides a historic overview of scientific research of these genera and the prospect for further research. Citation: Bhunjun CS, Chen YJ, Phukhamsakda C, Boekhout T, Groenewald JZ, McKenzie EHC, Francisco EC, Frisvad JC, Groenewald M, Hurdeal VG, Luangsa-ard J, Perrone G, Visagie CM, Bai FY, Błaszkowski J, Braun U, de Souza FA, de Queiroz MB, Dutta AK, Gonkhom D, Goto BT, Guarnaccia V, Hagen F, Houbraken J, Lachance MA, Li JJ, Luo KY, Magurno F, Mongkolsamrit S, Robert V, Roy N, Tibpromma S, Wanasinghe DN, Wang DQ, Wei DP, Zhao CL, Aiphuk W, Ajayi-Oyetunde O, Arantes TD, Araujo JC, Begerow D, Bakhshi M, Barbosa RN, Behrens FH, Bensch K, Bezerra JDP, Bilański P, Bradley CA, Bubner B, Burgess TI, Buyck B, Čadež N, Cai L, Calaça FJS, Campbell LJ, Chaverri P, Chen YY, Chethana KWT, Coetzee B, Costa MM, Chen Q, Custódio FA, Dai YC, Damm U, de Azevedo Santiago ALCM, De Miccolis Angelini RM, Dijksterhuis J, Dissanayake AJ, Doilom M, Dong W, Alvarez-Duarte E, Fischer M, Gajanayake AJ, Gené J, Gomdola D, Gomes AAM, Hausner G, He MQ, Hou L, Iturrieta-González I, Jami F, Jankowiak R, Jayawardena RS, Kandemir H, Kiss L, Kobmoo N, Kowalski T, Landi L, Lin CG, Liu JK, Liu XB, Loizides M, Luangharn T, Maharachchikumbura SSN, Makhathini Mkhwanazi GJ, Manawasinghe IS, Marin-Felix Y, McTaggart AR, Moreau PA, Morozova OV, Mostert L, Osiewacz HD, Pem D, Phookamsak R, Pollastro S, Pordel A, Poyntner C, Phillips AJL, Phonemany M, Promputtha I, Rathnayaka AR, Rodrigues AM, Romanazzi G, Rothmann L, Salgado-Salazar C, Sandoval-Denis M, Saupe SJ, Scholler M, Scott P, Shivas RG, Silar P, Souza-Motta CM, Silva-Filho AGS, Spies CFJ, Stchigel AM, Sterflinger K, Summerbell RC, Svetasheva TY, Takamatsu S, Theelen B, Theodoro RC, Thines M, Thongklang N, Torres R, Turchetti B, van den Brule T, Wang XW, Wartchow F, Welti S, Wijesinghe SN, Wu F, Xu R, Yang ZL, Yilmaz N, Yurkov A, Zhao L, Zhao RL, Zhou N, Hyde KD, Crous PW (2024). What are the 100 most cited fungal genera? Studies in Mycology 108: 1-411. doi: 10.3114/sim.2024.108.01.
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Affiliation(s)
- C.S. Bhunjun
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - Y.J. Chen
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - C. Phukhamsakda
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - T. Boekhout
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
- The Yeasts Foundation, Amsterdam, the Netherlands
| | - J.Z. Groenewald
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - E.H.C. McKenzie
- Landcare Research Manaaki Whenua, Private Bag 92170, Auckland, New Zealand
| | - E.C. Francisco
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
- Laboratório Especial de Micologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - J.C. Frisvad
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - V. G. Hurdeal
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - J. Luangsa-ard
- BIOTEC, National Science and Technology Development Agency (NSTDA), 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - G. Perrone
- Institute of Sciences of Food Production, National Research Council (CNR-ISPA), Via G. Amendola 122/O, 70126 Bari, Italy
| | - C.M. Visagie
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa
| | - F.Y. Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J. Błaszkowski
- Laboratory of Plant Protection, Department of Shaping of Environment, West Pomeranian University of Technology in Szczecin, Słowackiego 17, PL-71434 Szczecin, Poland
| | - U. Braun
- Martin Luther University, Institute of Biology, Department of Geobotany and Botanical Garden, Neuwerk 21, 06099 Halle (Saale), Germany
| | - F.A. de Souza
- Núcleo de Biologia Aplicada, Embrapa Milho e Sorgo, Empresa Brasileira de Pesquisa Agropecuária, Rodovia MG 424 km 45, 35701–970, Sete Lagoas, MG, Brazil
| | - M.B. de Queiroz
- Programa de Pós-graduação em Sistemática e Evolução, Universidade Federal do Rio Grande do Norte, Campus Universitário, Natal-RN, 59078-970, Brazil
| | - A.K. Dutta
- Molecular & Applied Mycology Laboratory, Department of Botany, Gauhati University, Gopinath Bordoloi Nagar, Jalukbari, Guwahati - 781014, Assam, India
| | - D. Gonkhom
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - B.T. Goto
- Programa de Pós-graduação em Sistemática e Evolução, Universidade Federal do Rio Grande do Norte, Campus Universitário, Natal-RN, 59078-970, Brazil
| | - V. Guarnaccia
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Largo Braccini 2, 10095 Grugliasco, TO, Italy
| | - F. Hagen
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
- Institute of Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the Netherlands
| | - J. Houbraken
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - M.A. Lachance
- Department of Biology, University of Western Ontario London, Ontario, Canada N6A 5B7
| | - J.J. Li
- College of Biodiversity Conservation, Southwest Forestry University, Kunming 650224, P.R. China
| | - K.Y. Luo
- College of Biodiversity Conservation, Southwest Forestry University, Kunming 650224, P.R. China
| | - F. Magurno
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia in Katowice, Jagiellońska 28, 40-032 Katowice, Poland
| | - S. Mongkolsamrit
- BIOTEC, National Science and Technology Development Agency (NSTDA), 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - V. Robert
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - N. Roy
- Molecular & Applied Mycology Laboratory, Department of Botany, Gauhati University, Gopinath Bordoloi Nagar, Jalukbari, Guwahati - 781014, Assam, India
| | - S. Tibpromma
- Center for Yunnan Plateau Biological Resources Protection and Utilization, College of Biological Resource and Food Engineering, Qujing Normal University, Qujing, Yunnan 655011, P.R. China
| | - D.N. Wanasinghe
- Center for Mountain Futures, Kunming Institute of Botany, Honghe 654400, Yunnan, China
| | - D.Q. Wang
- College of Biodiversity Conservation, Southwest Forestry University, Kunming 650224, P.R. China
| | - D.P. Wei
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, Chiang Mai, 50200, Thailand
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, P.R. China
| | - C.L. Zhao
- College of Biodiversity Conservation, Southwest Forestry University, Kunming 650224, P.R. China
| | - W. Aiphuk
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - O. Ajayi-Oyetunde
- Syngenta Crop Protection, 410 S Swing Rd, Greensboro, NC. 27409, USA
| | - T.D. Arantes
- Laboratório de Micologia, Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, 74605-050, Goiânia, GO, Brazil
| | - J.C. Araujo
- Mykocosmos - Mycology and Science Communication, Rua JP 11 Qd. 18 Lote 13, Jd. Primavera 1ª etapa, Post Code 75.090-260, Anápolis, Goiás, Brazil
- Secretaria de Estado da Educação de Goiás (SEDUC/ GO), Quinta Avenida, Quadra 71, número 212, Setor Leste Vila Nova, Goiânia, Goiás, 74643-030, Brazil
| | - D. Begerow
- Organismic Botany and Mycology, Institute of Plant Sciences and Microbiology, Ohnhorststraße 18, 22609 Hamburg, Germany
| | - M. Bakhshi
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
| | - R.N. Barbosa
- Micoteca URM-Department of Mycology Prof. Chaves Batista, Federal University of Pernambuco, Av. Prof. Moraes Rego, s/n, Center for Biosciences, University City, Recife, Pernambuco, Zip Code: 50670-901, Brazil
| | - F.H. Behrens
- Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Geilweilerhof, D-76833 Siebeldingen, Germany
| | - K. Bensch
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - J.D.P. Bezerra
- Laboratório de Micologia, Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, 74605-050, Goiânia, GO, Brazil
| | - P. Bilański
- Department of Forest Ecosystems Protection, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Krakow, Poland
| | - C.A. Bradley
- Department of Plant Pathology, University of Kentucky, Princeton, KY 42445, USA
| | - B. Bubner
- Johan Heinrich von Thünen-Institut, Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei, Institut für Forstgenetik, Eberswalder Chaussee 3a, 15377 Waldsieversdorf, Germany
| | - T.I. Burgess
- Harry Butler Institute, Murdoch University, Murdoch, 6150, Australia
| | - B. Buyck
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d’Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 rue Cuvier, CP 39, 75231, Paris cedex 05, France
| | - N. Čadež
- University of Ljubljana, Biotechnical Faculty, Food Science and Technology Department Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | - L. Cai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - F.J.S. Calaça
- Mykocosmos - Mycology and Science Communication, Rua JP 11 Qd. 18 Lote 13, Jd. Primavera 1ª etapa, Post Code 75.090-260, Anápolis, Goiás, Brazil
- Secretaria de Estado da Educação de Goiás (SEDUC/ GO), Quinta Avenida, Quadra 71, número 212, Setor Leste Vila Nova, Goiânia, Goiás, 74643-030, Brazil
- Laboratório de Pesquisa em Ensino de Ciências (LabPEC), Centro de Pesquisas e Educação Científica, Universidade Estadual de Goiás, Campus Central (CEPEC/UEG), Anápolis, GO, 75132-903, Brazil
| | - L.J. Campbell
- School of Veterinary Medicine, University of Wisconsin - Madison, Madison, Wisconsin, USA
| | - P. Chaverri
- Centro de Investigaciones en Productos Naturales (CIPRONA) and Escuela de Biología, Universidad de Costa Rica, 11501-2060, San José, Costa Rica
- Department of Natural Sciences, Bowie State University, Bowie, Maryland, U.S.A
| | - Y.Y. Chen
- Guizhou Key Laboratory of Agricultural Biotechnology, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - K.W.T. Chethana
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - B. Coetzee
- Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa
- School for Data Sciences and Computational Thinking, University of Stellenbosch, South Africa
| | - M.M. Costa
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - Q. Chen
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - F.A. Custódio
- Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa-MG, Brazil
| | - Y.C. Dai
- State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - U. Damm
- Senckenberg Museum of Natural History Görlitz, PF 300 154, 02806 Görlitz, Germany
| | - A.L.C.M.A. Santiago
- Post-graduate course in the Biology of Fungi, Department of Mycology, Federal University of Pernambuco, Av. Prof. Moraes Rego, s/n, 50740-465, Recife, PE, Brazil
| | | | - J. Dijksterhuis
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - A.J. Dissanayake
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - M. Doilom
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, P.R. China
| | - W. Dong
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, P.R. China
| | - E. Álvarez-Duarte
- Mycology Unit, Microbiology and Mycology Program, Biomedical Sciences Institute, University of Chile, Chile
| | - M. Fischer
- Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Geilweilerhof, D-76833 Siebeldingen, Germany
| | - A.J. Gajanayake
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - J. Gené
- Unitat de Micologia i Microbiologia Ambiental, Facultat de Medicina i Ciències de la Salut & IURESCAT, Universitat Rovira i Virgili (URV), Reus, Catalonia Spain
| | - D. Gomdola
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Mushroom Research Foundation, 128 M.3 Ban Pa Deng T. Pa Pae, A. Mae Taeng, Chiang Mai 50150, Thailand
| | - A.A.M. Gomes
- Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Recife-PE, Brazil
| | - G. Hausner
- Department of Microbiology, University of Manitoba, Winnipeg, MB, R3T 5N6
| | - M.Q. He
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - L. Hou
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Space Nutrition and Food Engineering, China Astronaut Research and Training Center, Beijing, 100094, China
| | - I. Iturrieta-González
- Unitat de Micologia i Microbiologia Ambiental, Facultat de Medicina i Ciències de la Salut & IURESCAT, Universitat Rovira i Virgili (URV), Reus, Catalonia Spain
- Department of Preclinic Sciences, Medicine Faculty, Laboratory of Infectology and Clinical Immunology, Center of Excellence in Translational Medicine-Scientific and Technological Nucleus (CEMT-BIOREN), Universidad de La Frontera, Temuco 4810296, Chile
| | - F. Jami
- Plant Health and Protection, Agricultural Research Council, Pretoria, South Africa
| | - R. Jankowiak
- Department of Forest Ecosystems Protection, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Krakow, Poland
| | - R.S. Jayawardena
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, South Korea
| | - H. Kandemir
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - L. Kiss
- Centre for Crop Health, Institute for Life Sciences and the Environment, University of Southern Queensland, QLD 4350 Toowoomba, Australia
- Centre for Research and Development, Eszterházy Károly Catholic University, H-3300 Eger, Hungary
| | - N. Kobmoo
- BIOTEC, National Science and Technology Development Agency (NSTDA), 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - T. Kowalski
- Department of Forest Ecosystems Protection, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Krakow, Poland
| | - L. Landi
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - C.G. Lin
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - J.K. Liu
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - X.B. Liu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, P.R. China
- Synthetic and Systems Biology Unit, Institute of Biochemistry, HUN-REN Biological Research Center, Temesvári krt. 62, Szeged H-6726, Hungary
- Yunnan Key Laboratory for Fungal Diversity and Green Development, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China
| | | | - T. Luangharn
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - S.S.N. Maharachchikumbura
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - G.J. Makhathini Mkhwanazi
- Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa
| | - I.S. Manawasinghe
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, P.R. China
| | - Y. Marin-Felix
- Department Microbial Drugs, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany
- Institute of Microbiology, Technische Universität Braunschweig, Spielmannstrasse 7, 38106, Braunschweig, Germany
| | - A.R. McTaggart
- Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Dutton Park 4102, Queensland, Australia
| | - P.A. Moreau
- Univ. Lille, ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, F-59000 Lille, France
| | - O.V. Morozova
- Komarov Botanical Institute of the Russian Academy of Sciences, 2, Prof. Popov Str., 197376 Saint Petersburg, Russia
- Tula State Lev Tolstoy Pedagogical University, 125, Lenin av., 300026 Tula, Russia
| | - L. Mostert
- Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa
| | - H.D. Osiewacz
- Faculty for Biosciences, Institute for Molecular Biosciences, Goethe University, Max-von-Laue-Str. 9, 60438, Frankfurt/Main, Germany
| | - D. Pem
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Mushroom Research Foundation, 128 M.3 Ban Pa Deng T. Pa Pae, A. Mae Taeng, Chiang Mai 50150, Thailand
| | - R. Phookamsak
- Center for Mountain Futures, Kunming Institute of Botany, Honghe 654400, Yunnan, China
| | - S. Pollastro
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy
| | - A. Pordel
- Plant Protection Research Department, Baluchestan Agricultural and Natural Resources Research and Education Center, AREEO, Iranshahr, Iran
| | - C. Poyntner
- Institute of Microbiology, University of Innsbruck, Technikerstrasse 25, 6020, Innsbruck, Austria
| | - A.J.L. Phillips
- Faculdade de Ciências, Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal
| | - M. Phonemany
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Mushroom Research Foundation, 128 M.3 Ban Pa Deng T. Pa Pae, A. Mae Taeng, Chiang Mai 50150, Thailand
| | - I. Promputtha
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - A.R. Rathnayaka
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Mushroom Research Foundation, 128 M.3 Ban Pa Deng T. Pa Pae, A. Mae Taeng, Chiang Mai 50150, Thailand
| | - A.M. Rodrigues
- Laboratory of Emerging Fungal Pathogens, Department of Microbiology, Immunology, and Parasitology, Discipline of Cellular Biology, Federal University of São Paulo (UNIFESP), São Paulo, 04023062, Brazil
| | - G. Romanazzi
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - L. Rothmann
- Plant Pathology, Department of Plant Sciences, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, 9301, South Africa
| | - C. Salgado-Salazar
- Mycology and Nematology Genetic Diversity and Biology Laboratory, U.S. Department of Agriculture, Agriculture Research Service (USDA-ARS), 10300 Baltimore Avenue, Beltsville MD, 20705, USA
| | - M. Sandoval-Denis
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - S.J. Saupe
- Institut de Biochimie et de Génétique Cellulaire, UMR 5095 CNRS Université de Bordeaux, 1 rue Camille Saint Saëns, 33077 Bordeaux cedex, France
| | - M. Scholler
- Staatliches Museum für Naturkunde Karlsruhe, Erbprinzenstraße 13, 76133 Karlsruhe, Germany
| | - P. Scott
- Harry Butler Institute, Murdoch University, Murdoch, 6150, Australia
- Sustainability and Biosecurity, Department of Primary Industries and Regional Development, Perth WA 6000, Australia
| | - R.G. Shivas
- Centre for Crop Health, Institute for Life Sciences and the Environment, University of Southern Queensland, QLD 4350 Toowoomba, Australia
| | - P. Silar
- Laboratoire Interdisciplinaire des Energies de Demain, Université de Paris Cité, 75205 Paris Cedex, France
| | - A.G.S. Silva-Filho
- IFungiLab, Departamento de Ciências e Matemática (DCM), Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), São Paulo, BraziI
| | - C.M. Souza-Motta
- Micoteca URM-Department of Mycology Prof. Chaves Batista, Federal University of Pernambuco, Av. Prof. Moraes Rego, s/n, Center for Biosciences, University City, Recife, Pernambuco, Zip Code: 50670-901, Brazil
| | - C.F.J. Spies
- Agricultural Research Council - Plant Health and Protection, Private Bag X5017, Stellenbosch, 7599, South Africa
| | - A.M. Stchigel
- Unitat de Micologia i Microbiologia Ambiental, Facultat de Medicina i Ciències de la Salut & IURESCAT, Universitat Rovira i Virgili (URV), Reus, Catalonia Spain
| | - K. Sterflinger
- Institute of Natural Sciences and Technology in the Arts (INTK), Academy of Fine Arts Vienna, Augasse 2–6, 1090, Vienna, Austria
| | - R.C. Summerbell
- Sporometrics, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - T.Y. Svetasheva
- Tula State Lev Tolstoy Pedagogical University, 125, Lenin av., 300026 Tula, Russia
| | - S. Takamatsu
- Mie University, Graduate School, Department of Bioresources, 1577 Kurima-Machiya, Tsu 514-8507, Japan
| | - B. Theelen
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - R.C. Theodoro
- Laboratório de Micologia Médica, Instituto de Medicina Tropical do RN, Universidade Federal do Rio Grande do Norte, 59078-900, Natal, RN, Brazil
| | - M. Thines
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325 Frankfurt Am Main, Germany
| | - N. Thongklang
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
| | - R. Torres
- IRTA, Postharvest Programme, Edifici Fruitcentre, Parc Agrobiotech de Lleida, Parc de Gardeny, 25003, Lleida, Catalonia, Spain
| | - B. Turchetti
- Department of Agricultural, Food and Environmental Sciences and DBVPG Industrial Yeasts Collection, University of Perugia, Italy
| | - T. van den Brule
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
- TIFN, P.O. Box 557, 6700 AN Wageningen, the Netherlands
| | - X.W. Wang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - F. Wartchow
- Departamento de Sistemática e Ecologia, Universidade Federal da Paraíba, Paraiba, João Pessoa, Brazil
| | - S. Welti
- Institute of Microbiology, Technische Universität Braunschweig, Spielmannstrasse 7, 38106, Braunschweig, Germany
| | - S.N. Wijesinghe
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Mushroom Research Foundation, 128 M.3 Ban Pa Deng T. Pa Pae, A. Mae Taeng, Chiang Mai 50150, Thailand
| | - F. Wu
- State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - R. Xu
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China
- Internationally Cooperative Research Center of China for New Germplasm Breeding of Edible Mushroom, Jilin Agricultural University, Changchun 130118, China
| | - Z.L. Yang
- Syngenta Crop Protection, 410 S Swing Rd, Greensboro, NC. 27409, USA
- Yunnan Key Laboratory for Fungal Diversity and Green Development, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China
| | - N. Yilmaz
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa
| | - A. Yurkov
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Brunswick, Germany
| | - L. Zhao
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
| | - R.L. Zhao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - N. Zhou
- Department of Biological Sciences and Biotechnology, Botswana University of Science and Technology, Private Bag, 16, Palapye, Botswana
| | - K.D. Hyde
- School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai, 57100, Thailand
- Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, P.R. China
- Key Laboratory of Economic Plants and Biotechnology and the Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - P.W. Crous
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa
- Microbiology, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht
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8
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Geng LY, Jiang TY, Chen X, Li Q, Ma JH, Hou WX, Tang CQ, Wang Q, Deng YF. Plastome structure, phylogeny and evolution of plastid genes in Reevesia (Helicteroideae, Malvaceae). JOURNAL OF PLANT RESEARCH 2024; 137:589-604. [PMID: 38739241 DOI: 10.1007/s10265-024-01547-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 04/29/2024] [Indexed: 05/14/2024]
Abstract
Reevesia is an eastern Asian-eastern North American disjunction genus in the family Malvaceae s.l. and comprises approximately 25 species. The relationships within the genus are not well understood. Here, 15 plastomes representing 12 Reevesia species were compared, with the aim of better understanding the species circumscription and phylogenetic relationships within the genus and among genera in the family Malvaceae s.l. The 11 newly sequenced plastomes range between 161,532 and 161, 945 bp in length. The genomes contain 114 unique genes, 18 of which are duplicated in the inverted repeats (IRs). Gene content of these plastomes is nearly identical. All the protein-coding genes are under purifying selection in the Reevesia plastomes compared. The top ten hypervariable regions, SSRs, and the long repeats identified are potential molecular markers for future population genetic and phylogenetic studies. Phylogenetic analysis based on the whole plastomes confirmed the monophyly of Reevesia and a close relationship with Durio (traditional Bombacaceae) in subfamily Helicteroideae, but not with the morphologically similar genera Pterospermum and Sterculia (both of traditional Sterculiaceae). Phylogenetic relationships within Reevesia suggested that two species, R. pubescens and R. thyrsoidea, as newly defined, are not monophyletic. Six taxa, R. membranacea, R. xuefengensis, R. botingensis, R. lofouensis, R. longipetiolata and R. pycnantha, are suggested to be recognized.
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Affiliation(s)
- Li-Yang Geng
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Tian-Yi Jiang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Xin Chen
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China.
| | - Qiang Li
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Jian-Hui Ma
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Wen-Xiang Hou
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Chen-Qian Tang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Qin Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Yun-Fei Deng
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, 510650, China
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9
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Moss MJ, Chamness LM, Clark PL. The Effects of Codon Usage on Protein Structure and Folding. Annu Rev Biophys 2024; 53:87-108. [PMID: 38134335 PMCID: PMC11227313 DOI: 10.1146/annurev-biophys-030722-020555] [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] [Indexed: 12/24/2023]
Abstract
The rate of protein synthesis is slower than many folding reactions and varies depending on the synonymous codons encoding the protein sequence. Synonymous codon substitutions thus have the potential to regulate cotranslational protein folding mechanisms, and a growing number of proteins have been identified with folding mechanisms sensitive to codon usage. Typically, these proteins have complex folding pathways and kinetically stable native structures. Kinetically stable proteins may fold only once over their lifetime, and thus, codon-mediated regulation of the pioneer round of protein folding can have a lasting impact. Supporting an important role for codon usage in folding, conserved patterns of codon usage appear in homologous gene families, hinting at selection. Despite these exciting developments, there remains few experimental methods capable of quantifying translation elongation rates and cotranslational folding mechanisms in the cell, which challenges the development of a predictive understanding of how biology uses codons to regulate protein folding.
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Affiliation(s)
- McKenze J Moss
- Department of Chemistry & Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA; , ,
| | - Laura M Chamness
- Department of Chemistry & Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA; , ,
| | - Patricia L Clark
- Department of Chemistry & Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA; , ,
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10
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Stewart RK, Nguyen P, Laederach A, Volkan PC, Sawyer JK, Fox DT. Orb2 enables rare-codon-enriched mRNA expression during Drosophila neuron differentiation. Nat Commun 2024; 15:5270. [PMID: 38902233 PMCID: PMC11190236 DOI: 10.1038/s41467-024-48344-8] [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: 08/10/2023] [Accepted: 04/25/2024] [Indexed: 06/22/2024] Open
Abstract
Regulation of codon optimality is an increasingly appreciated layer of cell- and tissue-specific protein expression control. Here, we use codon-modified reporters to show that differentiation of Drosophila neural stem cells into neurons enables protein expression from rare-codon-enriched genes. From a candidate screen, we identify the cytoplasmic polyadenylation element binding (CPEB) protein Orb2 as a positive regulator of rare-codon-dependent mRNA stability in neurons. Using RNA sequencing, we reveal that Orb2-upregulated mRNAs in the brain with abundant Orb2 binding sites have a rare-codon bias. From these Orb2-regulated mRNAs, we demonstrate that rare-codon enrichment is important for mRNA stability and social behavior function of the metabotropic glutamate receptor (mGluR). Our findings reveal a molecular mechanism by which neural stem cell differentiation shifts genetic code regulation to enable critical mRNA stability and protein expression.
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Affiliation(s)
- Rebeccah K Stewart
- Department of Pharmacology & Cancer Biology, Duke University, Durham, NC, USA
- Duke Regeneration Center, Duke University, Durham, NC, USA
| | - Patrick Nguyen
- Department of Pharmacology & Cancer Biology, Duke University, Durham, NC, USA
| | - Alain Laederach
- Department of Biology, University of North Carolina, Chapel Hill, NC, USA
| | | | - Jessica K Sawyer
- Department of Pharmacology & Cancer Biology, Duke University, Durham, NC, USA
- Duke Regeneration Center, Duke University, Durham, NC, USA
| | - Donald T Fox
- Department of Pharmacology & Cancer Biology, Duke University, Durham, NC, USA.
- Duke Regeneration Center, Duke University, Durham, NC, USA.
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11
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Hai Y, Qian Y, Yang M, Zhang Y, Xu H, Yang Y, Xia C. The chloroplast genomes of two medicinal species (Veronica anagallis-aquatica L. and Veronica undulata Wall.) and its comparative analysis with related Veronica species. Sci Rep 2024; 14:13945. [PMID: 38886540 PMCID: PMC11183227 DOI: 10.1038/s41598-024-64896-7] [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: 12/25/2023] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
Veronica anagallis-aquatica L. and Veronica undulata Wall. are widely used ethnomedicinal plants in China. The two species have different clinical efficacies, while their extremely similar morphology and unclear interspecific relationship make it difficult to accurately identify them, leading to increased instances of mixed usage. This article reports on the complete chloroplast genomes sequence of these two species and their related Veronica species to conduct a comparative genomics analysis and phylogenetic construction. The results showed that the chloroplast (cp) genomes of Veronica exhibited typical circular quadripartite structures, with total lengths of 149,386 to 152,319 base pairs (bp), and GC content of 37.9 to 38.1%, and the number of genes was between 129-134. The total number of simple sequence repeats (SSRs) in V. anagallis-aquatica and V. undulata is 37 and 36, while V. arvensis had the highest total number of 56, predominantly characterized by A/T single bases. The vast majority of long repeat sequence types are forward repeats and palindromic repeats. Selective Ka/Ks values showed that three genes were under positive selection. Sequence differences often occur in the non-coding regions of the large single-copy region (LSC) and small single-copy region (SSC), with the lowest sequence variation in the inverted repeat regions (IR). Seven highly variable regions (trnT-GGU-psbD, rps8-rpl16, trnQ-UUG, trnN-GUU-ndhF, petL, ycf3, and ycf1) were detected, which may be potential molecular markers for identifying V. anagallis-aquatica and V. undulata. The phylogenetic tree indicates that there is a close genetic relationship between the genera Veronica and Neopicrorhiza, and V. anagallis-aquatica and V. undulata are sister groups. The molecular clock analysis results indicate that the divergence time of Veronica may occur at ∼ 9.09 Ma, and the divergence time of these two species occurs at ∼ 0.48 Ma. It is speculated that climate change may be the cause of Veronica species diversity and promote the radiation of the genus. The chloroplast genome data of nine Veronica specie provides important insights into the characteristics and evolution of the chloroplast genome of this genus, as well as the phylogenetic relationships of the genus Veronica.
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Affiliation(s)
- Yonglin Hai
- College of Pharmacy, Dali University, Dali, 671000, China
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China
| | - Yan Qian
- College of Pharmacy, Dali University, Dali, 671000, China
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China
| | - Meihua Yang
- College of Pharmacy, Dali University, Dali, 671000, China
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China
| | - Yue Zhang
- College of Pharmacy, Dali University, Dali, 671000, China
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China
| | - Huimei Xu
- College of Pharmacy, Dali University, Dali, 671000, China
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China
| | - Yongcheng Yang
- College of Pharmacy, Dali University, Dali, 671000, China.
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China.
| | - Conglong Xia
- College of Pharmacy, Dali University, Dali, 671000, China.
- Key Laboratory of Yunnan Provincial Higher Education Institutions for Development of Yunnan Daodi Medicinal Materials Resources, Dali, 671000, China.
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12
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Sword TT, Dinglasan JLN, Abbas GSK, Barker JW, Spradley ME, Greene ER, Gooden DS, Emrich SJ, Gilchrist MA, Doktycz MJ, Bailey CB. Profiling expression strategies for a type III polyketide synthase in a lysate-based, cell-free system. Sci Rep 2024; 14:12983. [PMID: 38839808 PMCID: PMC11153635 DOI: 10.1038/s41598-024-61376-w] [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: 12/16/2023] [Accepted: 05/06/2024] [Indexed: 06/07/2024] Open
Abstract
Some of the most metabolically diverse species of bacteria (e.g., Actinobacteria) have higher GC content in their DNA, differ substantially in codon usage, and have distinct protein folding environments compared to tractable expression hosts like Escherichia coli. Consequentially, expressing biosynthetic gene clusters (BGCs) from these bacteria in E. coli often results in a myriad of unpredictable issues with regard to protein expression and folding, delaying the biochemical characterization of new natural products. Current strategies to achieve soluble, active expression of these enzymes in tractable hosts can be a lengthy trial-and-error process. Cell-free expression (CFE) has emerged as a valuable expression platform as a testbed for rapid prototyping expression parameters. Here, we use a type III polyketide synthase from Streptomyces griseus, RppA, which catalyzes the formation of the red pigment flaviolin, as a reporter to investigate BGC refactoring techniques. We applied a library of constructs with different combinations of promoters and rppA coding sequences to investigate the synergies between promoter and codon usage. Subsequently, we assess the utility of cell-free systems for prototyping these refactoring tactics prior to their implementation in cells. Overall, codon harmonization improves natural product synthesis more than traditional codon optimization across cell-free and cellular environments. More importantly, the choice of coding sequences and promoters impact protein expression synergistically, which should be considered for future efforts to use CFE for high-yield protein expression. The promoter strategy when applied to RppA was not completely correlated with that observed with GFP, indicating that different promoter strategies should be applied for different proteins. In vivo experiments suggest that there is correlation, but not complete alignment between expressing in cell free and in vivo. Refactoring promoters and/or coding sequences via CFE can be a valuable strategy to rapidly screen for catalytically functional production of enzymes from BCGs, which advances CFE as a tool for natural product research.
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Affiliation(s)
- Tien T Sword
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Jaime Lorenzo N Dinglasan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Ghaeath S K Abbas
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, USA
- School of Chemistry, University of Sydney, Sydney, NSW, Australia
| | - J William Barker
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Madeline E Spradley
- Department of Biochemistry, Cellular, and Molecular Biology, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Elijah R Greene
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Damian S Gooden
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Scott J Emrich
- Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN, USA
- Department of Electrical Engineering and Computer Science, University of Tennessee-Knoxville, Knoxville, TN, USA
- Department of Ecology and Evolutionary Biology, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Michael A Gilchrist
- Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN, USA
- Department of Ecology and Evolutionary Biology, University of Tennessee-Knoxville, Knoxville, TN, USA
| | - Mitchel J Doktycz
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
- Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN, USA.
| | - Constance B Bailey
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, USA.
- Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN, USA.
- School of Chemistry, University of Sydney, Sydney, NSW, Australia.
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13
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Zhang S, Lin R, Cui L, Jiang T, Shi J, Lu C, Li P, Zhou M. Alter codon bias of the P. pastoris genome to overcome a bottleneck in codon optimization strategy development and improve protein expression. Microbiol Res 2024; 282:127629. [PMID: 38330819 DOI: 10.1016/j.micres.2024.127629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/27/2023] [Accepted: 01/21/2024] [Indexed: 02/10/2024]
Abstract
Apart from its role in translation, codon bias is also an important mechanism to regulate mRNA levels. The traditional frequency-based codon optimization strategy is rather efficient in organisms such as N. crassa, but much less in yeast P. pastoris which is a popular host for heterologous protein expression. This is because that unlike N. crassa, the preferred codons of P. pastoris are actually AU-rich and hence codon optimization for extremely low GC content comes with issues of pre-mature transcriptional termination or low RNA stability in spite of translational advantages. To overcome this bottleneck, we focused on three reporter genes in P. pastoris first and confirmed the great advantage of GC-prone codon optimization on mRNA levels. Then we altered the codon bias profile of P. pastoris by introducing additional rare tRNA gene copies. Prior to that we constructed IPTG-regulated tRNA species to enable chassis cells to switch between different codon bias status. As demonstrated again with reporter genes, protein yield of luc and 0788 was successfully increased by 4-5 folds in chassis cells. In summary, here we provide an alternative codon optimization strategy for genes with unsatisfactory performance under traditional codon frequency-based optimization.
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Affiliation(s)
- Siyu Zhang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Ru Lin
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Luyao Cui
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Tianyi Jiang
- China Innovation Center of Roche, Shanghai 201203, China
| | - Jiacheng Shi
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Chaoyu Lu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Pengfei Li
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Mian Zhou
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.
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14
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Jankowski MS, Griffith D, Shastry DG, Pelham JF, Ginell GM, Thomas J, Karande P, Holehouse AS, Hurley JM. Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator. Nat Commun 2024; 15:3523. [PMID: 38664421 PMCID: PMC11045787 DOI: 10.1038/s41467-024-47761-z] [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: 09/07/2023] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Organismal physiology is widely regulated by the molecular circadian clock, a feedback loop composed of protein complexes whose members are enriched in intrinsically disordered regions. These regions can mediate protein-protein interactions via SLiMs, but the contribution of these disordered regions to clock protein interactions had not been elucidated. To determine the functionality of these disordered regions, we applied a synthetic peptide microarray approach to the disordered clock protein FRQ in Neurospora crassa. We identified residues required for FRQ's interaction with its partner protein FRH, the mutation of which demonstrated FRH is necessary for persistent clock oscillations but not repression of transcriptional activity. Additionally, the microarray demonstrated an enrichment of FRH binding to FRQ peptides with a net positive charge. We found that positively charged residues occurred in significant "blocks" within the amino acid sequence of FRQ and that ablation of one of these blocks affected both core clock timing and physiological clock output. Finally, we found positive charge clusters were a commonly shared molecular feature in repressive circadian clock proteins. Overall, our study suggests a mechanistic purpose for positive charge blocks and yielded insights into repressive arm protein roles in clock function.
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Affiliation(s)
- Meaghan S Jankowski
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
| | - Daniel Griffith
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Divya G Shastry
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
| | - Jacqueline F Pelham
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
| | - Garrett M Ginell
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Joshua Thomas
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
| | - Pankaj Karande
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
- Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
| | - Alex S Holehouse
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Jennifer M Hurley
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
- Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
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15
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Tariq D, Maurici N, Bartholomai BM, Chandrasekaran S, Dunlap JC, Bah A, Crane BR. Phosphorylation, disorder, and phase separation govern the behavior of Frequency in the fungal circadian clock. eLife 2024; 12:RP90259. [PMID: 38526948 PMCID: PMC10963029 DOI: 10.7554/elife.90259] [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] [Indexed: 03/27/2024] Open
Abstract
Circadian clocks are composed of transcription-translation negative feedback loops that pace rhythms of gene expression to the diurnal cycle. In the filamentous fungus Neurospora crassa, the proteins Frequency (FRQ), the FRQ-interacting RNA helicase (FRH), and Casein-Kinase I (CK1) form the FFC complex that represses expression of genes activated by the white-collar complex (WCC). FRQ orchestrates key molecular interactions of the clock despite containing little predicted tertiary structure. Spin labeling and pulse-dipolar electron spin resonance spectroscopy provide domain-specific structural insights into the 989-residue intrinsically disordered FRQ and the FFC. FRQ contains a compact core that associates and organizes FRH and CK1 to coordinate their roles in WCC repression. FRQ phosphorylation increases conformational flexibility and alters oligomeric state, but the changes in structure and dynamics are non-uniform. Full-length FRQ undergoes liquid-liquid phase separation (LLPS) to sequester FRH and CK1 and influence CK1 enzymatic activity. Although FRQ phosphorylation favors LLPS, LLPS feeds back to reduce FRQ phosphorylation by CK1 at higher temperatures. Live imaging of Neurospora hyphae reveals FRQ foci characteristic of condensates near the nuclear periphery. Analogous clock repressor proteins in higher organisms share little position-specific sequence identity with FRQ; yet, they contain amino acid compositions that promote LLPS. Hence, condensate formation may be a conserved feature of eukaryotic clocks.
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Affiliation(s)
- Daniyal Tariq
- Department of Chemistry & Chemical Biology, Cornell UniversityIthacaUnited States
| | - Nicole Maurici
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical UniversitySyracuseUnited States
| | - Bradley M Bartholomai
- Department of Molecular and Systems Biology, Geisel School of Medicine at DartmouthHanoverUnited States
| | | | - Jay C Dunlap
- Department of Molecular and Systems Biology, Geisel School of Medicine at DartmouthHanoverUnited States
| | - Alaji Bah
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical UniversitySyracuseUnited States
| | - Brian R Crane
- Department of Chemistry & Chemical Biology, Cornell UniversityIthacaUnited States
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16
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Lan PD, Nissley DA, Sitarik I, Vu QV, Jiang Y, To P, Xia Y, Fried SD, Li MS, O'Brien EP. Synonymous Mutations Can Alter Protein Dimerization Through Localized Interface Misfolding Involving Self-entanglements. J Mol Biol 2024; 436:168487. [PMID: 38341172 PMCID: PMC11260358 DOI: 10.1016/j.jmb.2024.168487] [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: 09/07/2023] [Revised: 01/10/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
Synonymous mutations in messenger RNAs (mRNAs) can reduce protein-protein binding substantially without changing the protein's amino acid sequence. Here, we use coarse-grain simulations of protein synthesis, post-translational dynamics, and dimerization to understand how synonymous mutations can influence the dimerization of two E. coli homodimers, oligoribonuclease and ribonuclease T. We synthesize each protein from its wildtype, fastest- and slowest-translating synonymous mRNAs in silico and calculate the ensemble-averaged interaction energy between the resulting dimers. We find synonymous mutations alter oligoribonuclease's dimer properties. Relative to wildtype, the dimer interaction energy becomes 4% and 10% stronger, respectively, when translated from its fastest- and slowest-translating mRNAs. Ribonuclease T dimerization, however, is insensitive to synonymous mutations. The structural and kinetic origin of these changes are misfolded states containing non-covalent lasso-entanglements, many of which structurally perturb the dimer interface, and whose probability of occurrence depends on translation speed. These entangled states are kinetic traps that persist for long time scales. Entanglements cause altered dimerization energies for oligoribonuclease, as there is a large association (odds ratio: 52) between the co-occurrence of non-native self-entanglements and weak-binding dimer conformations. Simulated at all-atom resolution, these entangled structures persist for long timescales, indicating the conclusions are independent of model resolution. Finally, we show that regions of the protein we predict to have changes in entanglement are also structurally perturbed during refolding, as detected by limited-proteolysis mass spectrometry. Thus, non-native changes in entanglement at dimer interfaces is a mechanism through which oligomer structure and stability can be altered.
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Affiliation(s)
- Pham Dang Lan
- Institute for Computational Sciences and Technology, Ho Chi Minh City, Viet Nam; Faculty of Physics and Engineering Physics, VNUHCM-University of Science, 227, Nguyen Van Cu Street, District 5, Ho Chi Minh City, Viet Nam
| | - Daniel Allen Nissley
- Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA
| | - Ian Sitarik
- Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA
| | - Quyen V Vu
- Institute of Physics, Polish Academy of Sciences, 02-668 Warsaw, Poland
| | - Yang Jiang
- Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA
| | - Philip To
- Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Yingzi Xia
- Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Stephen D Fried
- Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA; Thomas C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Mai Suan Li
- Institute for Computational Sciences and Technology, Ho Chi Minh City, Viet Nam; Institute of Physics, Polish Academy of Sciences, 02-668 Warsaw, Poland
| | - Edward P O'Brien
- Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA; Bioinformatics and Genomics Graduate Program, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA; Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA 16802, USA.
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17
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Krueger J, Preusse M, Oswaldo Gomez N, Frommeyer YN, Doberenz S, Lorenz A, Kordes A, Grobe S, Müsken M, Depledge DP, Svensson SL, Weiss S, Kaever V, Pich A, Sharma CM, Ignatova Z, Häussler S. tRNA epitranscriptome determines pathogenicity of the opportunistic pathogen Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 2024; 121:e2312874121. [PMID: 38451943 PMCID: PMC10945773 DOI: 10.1073/pnas.2312874121] [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: 07/28/2023] [Accepted: 12/29/2023] [Indexed: 03/09/2024] Open
Abstract
The success of bacterial pathogens depends on the coordinated expression of virulence determinants. Regulatory circuits that drive pathogenesis are complex, multilayered, and incompletely understood. Here, we reveal that alterations in tRNA modifications define pathogenic phenotypes in the opportunistic pathogen Pseudomonas aeruginosa. We demonstrate that the enzymatic activity of GidA leads to the introduction of a carboxymethylaminomethyl modification in selected tRNAs. Modifications at the wobble uridine base (cmnm5U34) of the anticodon drives translation of transcripts containing rare codons. Specifically, in P. aeruginosa the presence of GidA-dependent tRNA modifications modulates expression of genes encoding virulence regulators, leading to a cellular proteomic shift toward pathogenic and well-adapted physiological states. Our approach of profiling the consequences of chemical tRNA modifications is general in concept. It provides a paradigm of how environmentally driven tRNA modifications govern gene expression programs and regulate phenotypic outcomes responsible for bacterial adaption to challenging habitats prevailing in the host niche.
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Affiliation(s)
- Jonas Krueger
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
- Research Core Unit Proteomics and Institute for Toxicology, Hannover Medical School, Hannover30625, Germany
| | - Matthias Preusse
- Department of Molecular Bacteriology, Helmholtz Center for Infection Research, 38124Braunschweig, Germany
| | - Nicolas Oswaldo Gomez
- Department of Molecular Bacteriology, Helmholtz Center for Infection Research, 38124Braunschweig, Germany
| | - Yannick Noah Frommeyer
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
| | - Sebastian Doberenz
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
| | - Anne Lorenz
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
- Department of Molecular Bacteriology, Helmholtz Center for Infection Research, 38124Braunschweig, Germany
| | - Adrian Kordes
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
- Cluster of Excellence “Resolving Infection susceptibility” (RESIST), Hannover Medical School, Hannover30625, Germany
| | - Svenja Grobe
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
- Research Core Unit Metabolomics and Institute of Pharmacology, Hannover Medical School, Hannover 30625, Germany
| | - Mathias Müsken
- Central Facility for Microscopy, Helmholtz Centre for Infection Research, Braunschweig38124, Germany
| | - Daniel P. Depledge
- Cluster of Excellence “Resolving Infection susceptibility” (RESIST), Hannover Medical School, Hannover30625, Germany
- Institute of Virology, Hannover Medical School, Hannover30625, Germany
- German Center for Infection Research, Partner Site Hannover-Braunschweig, Hannover30625, Germany
| | - Sarah L. Svensson
- Department of Molecular Infection Biology II, Institute of Molecular Infection Biology, University of Würzburg, Würzburg97080, Germany
| | - Siegfried Weiss
- Institute of Immunology, Medical School Hannover, Hannover30625, Germany
| | - Volkhard Kaever
- Research Core Unit Metabolomics and Institute of Pharmacology, Hannover Medical School, Hannover 30625, Germany
| | - Andreas Pich
- Research Core Unit Proteomics and Institute for Toxicology, Hannover Medical School, Hannover30625, Germany
| | - Cynthia M. Sharma
- Department of Molecular Infection Biology II, Institute of Molecular Infection Biology, University of Würzburg, Würzburg97080, Germany
| | - Zoya Ignatova
- Institute for Biochemistry and Molecular Biology, University Hamburg, 20146, Germany
| | - Susanne Häussler
- Institute for Molecular Bacteriology, Center of Clinical and Experimental Infection Research (TWINCORE), a joint venture of the Hannover Medical School and the Helmholtz Center for Infection Research, Hannover30625, Germany
- Department of Molecular Bacteriology, Helmholtz Center for Infection Research, 38124Braunschweig, Germany
- Cluster of Excellence “Resolving Infection susceptibility” (RESIST), Hannover Medical School, Hannover30625, Germany
- Department of Clinical Microbiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen2100, Denmark
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18
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Shao B, Yan J, Zhang J, Liu L, Chen Y, Buskirk AR. Riboformer: a deep learning framework for predicting context-dependent translation dynamics. Nat Commun 2024; 15:2011. [PMID: 38443396 PMCID: PMC10915169 DOI: 10.1038/s41467-024-46241-8] [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: 05/10/2023] [Accepted: 02/18/2024] [Indexed: 03/07/2024] Open
Abstract
Translation elongation is essential for maintaining cellular proteostasis, and alterations in the translational landscape are associated with a range of diseases. Ribosome profiling allows detailed measurements of translation at the genome scale. However, it remains unclear how to disentangle biological variations from technical artifacts in these data and identify sequence determinants of translation dysregulation. Here we present Riboformer, a deep learning-based framework for modeling context-dependent changes in translation dynamics. Riboformer leverages the transformer architecture to accurately predict ribosome densities at codon resolution. When trained on an unbiased dataset, Riboformer corrects experimental artifacts in previously unseen datasets, which reveals subtle differences in synonymous codon translation and uncovers a bottleneck in translation elongation. Further, we show that Riboformer can be combined with in silico mutagenesis to identify sequence motifs that contribute to ribosome stalling across various biological contexts, including aging and viral infection. Our tool offers a context-aware and interpretable approach for standardizing ribosome profiling datasets and elucidating the regulatory basis of translation kinetics.
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Affiliation(s)
- Bin Shao
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Jiawei Yan
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Jing Zhang
- Biological Design Center, Boston University, Boston, MA, USA
| | - Lili Liu
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ye Chen
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Allen R Buskirk
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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19
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Zhang H, Zhou Z, Guo J. The Function, Regulation, and Mechanism of Protein Turnover in Circadian Systems in Neurospora and Other Species. Int J Mol Sci 2024; 25:2574. [PMID: 38473819 DOI: 10.3390/ijms25052574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/18/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
Circadian clocks drive a large array of physiological and behavioral activities. At the molecular level, circadian clocks are composed of positive and negative elements that form core oscillators generating the basic circadian rhythms. Over the course of the circadian period, circadian negative proteins undergo progressive hyperphosphorylation and eventually degrade, and their stability is finely controlled by complex post-translational pathways, including protein modifications, genetic codon preference, protein-protein interactions, chaperon-dependent conformation maintenance, degradation, etc. The effects of phosphorylation on the stability of circadian clock proteins are crucial for precisely determining protein function and turnover, and it has been proposed that the phosphorylation of core circadian clock proteins is tightly correlated with the circadian period. Nonetheless, recent studies have challenged this view. In this review, we summarize the research progress regarding the function, regulation, and mechanism of protein stability in the circadian clock systems of multiple model organisms, with an emphasis on Neurospora crassa, in which circadian mechanisms have been extensively investigated. Elucidation of the highly complex and dynamic regulation of protein stability in circadian clock networks would greatly benefit the integrated understanding of the function, regulation, and mechanism of protein stability in a wide spectrum of other biological processes.
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Affiliation(s)
- Haoran Zhang
- MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Zengxuan Zhou
- MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Jinhu Guo
- MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
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20
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Yang DD, Rusch LM, Widney KA, Morgenthaler AB, Copley SD. Synonymous edits in the Escherichia coli genome have substantial and condition-dependent effects on fitness. Proc Natl Acad Sci U S A 2024; 121:e2316834121. [PMID: 38252823 PMCID: PMC10835057 DOI: 10.1073/pnas.2316834121] [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: 09/28/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
CRISPR-Cas-based genome editing is widely used in bacteria at scales ranging from construction of individual mutants to massively parallel libraries. This procedure relies on guide RNA-directed cleavage of the genome followed by repair with a template that introduces a desired mutation along with synonymous "immunizing" mutations to prevent re-cleavage of the genome after editing. Because the immunizing mutations do not change the protein sequence, they are often assumed to be neutral. However, synonymous mutations can change mRNA structures in ways that alter levels of the encoded proteins. We have tested the assumption that immunizing mutations are neutral by constructing a library of over 50,000 edits that consist of only synonymous mutations in Escherichia coli. Thousands of edits had substantial effects on fitness during growth of E. coli on acetate, a poor carbon source that is toxic at high concentrations. The percentage of high-impact edits varied considerably between genes and at different positions within genes. We reconstructed clones with high-impact edits and found that 69% indeed had significant effects on growth in acetate. Interestingly, fewer edits affected fitness during growth in glucose, a preferred carbon source, suggesting that changes in protein expression caused by synonymous mutations may be most important when an organism encounters challenging conditions. Finally, we showed that synonymous edits can have widespread effects; a synonymous edit at the 5' end of ptsI altered expression of hundreds of genes. Our results suggest that the synonymous immunizing edits introduced during CRISPR-Cas-based genome editing should not be assumed to be innocuous.
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Affiliation(s)
- Dong-Dong Yang
- Department of Molecular, Cellular and Developmental Biology and the Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO80309
| | - Leo M. Rusch
- Department of Molecular, Cellular and Developmental Biology and the Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO80309
| | - Karl A. Widney
- Department of Molecular, Cellular and Developmental Biology and the Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO80309
| | - Andrew B. Morgenthaler
- Department of Molecular, Cellular and Developmental Biology and the Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO80309
- Amyris, Inc., Emeryville, CA94608
| | - Shelley D. Copley
- Department of Molecular, Cellular and Developmental Biology and the Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO80309
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21
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Barrington CL, Galindo G, Koch AL, Horton ER, Morrison EJ, Tisa S, Stasevich TJ, Rissland OS. Synonymous codon usage regulates translation initiation. Cell Rep 2023; 42:113413. [PMID: 38096059 PMCID: PMC10790568 DOI: 10.1016/j.celrep.2023.113413] [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: 05/13/2023] [Revised: 08/30/2023] [Accepted: 10/25/2023] [Indexed: 12/30/2023] Open
Abstract
Nonoptimal synonymous codons repress gene expression, but the underlying mechanisms are poorly understood. We and others have previously shown that nonoptimal codons slow translation elongation speeds and thereby trigger messenger RNA (mRNA) degradation. Nevertheless, transcript levels are often insufficient to explain protein levels, suggesting additional mechanisms by which codon usage regulates gene expression. Using reporters in human and Drosophila cells, we find that transcript levels account for less than half of the variation in protein abundance due to codon usage. This discrepancy is explained by translational differences whereby nonoptimal codons repress translation initiation. Nonoptimal transcripts are also less bound by the translation initiation factors eIF4E and eIF4G1, providing a mechanistic explanation for their reduced initiation rates. Importantly, translational repression can occur without mRNA decay and deadenylation, and it does not depend on the known nonoptimality sensor, CNOT3. Our results reveal a potent mechanism of regulation by codon usage where nonoptimal codons repress further rounds of translation.
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Affiliation(s)
- Chloe L Barrington
- Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Gabriel Galindo
- Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Amanda L Koch
- Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Emma R Horton
- Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Evan J Morrison
- Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Samantha Tisa
- Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Timothy J Stasevich
- Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Olivia S Rissland
- Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA.
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22
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Rao Y, Ahmed N, Pritchard J, O'Brien EP. Incorporating mutational heterogeneity to identify genes that are enriched for synonymous mutations in cancer. BMC Bioinformatics 2023; 24:462. [PMID: 38062391 PMCID: PMC10704839 DOI: 10.1186/s12859-023-05521-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 10/05/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Synonymous mutations, which change the DNA sequence but not the encoded protein sequence, can affect protein structure and function, mRNA maturation, and mRNA half-lives. The possibility that synonymous mutations might be enriched in cancer has been explored in several recent studies. However, none of these studies control for all three types of mutational heterogeneity (patient, histology, and gene) that are known to affect the accurate identification of non-synonymous cancer-associated genes. Our goal is to adopt the current standard for non-synonymous mutations in an investigation of synonymous mutations. RESULTS Here, we create an algorithm, MutSigCVsyn, an adaptation of MutSigCV, to identify cancer-associated genes that are enriched for synonymous mutations based on a non-coding background model that takes into account the mutational heterogeneity across these levels. Using MutSigCVsyn, we first analyzed 2572 cancer whole-genome samples from the Pan-cancer Analysis of Whole Genomes (PCAWG) to identify non-synonymous cancer drivers as a quality control. Indicative of the algorithm accuracy we find that 58.6% of these candidate genes were also found in Cancer Census Gene (CGC) list, and 66.2% were found within the PCAWG cancer driver list. We then applied it to identify 30 putative cancer-associated genes that are enriched for synonymous mutations within the same samples. One of the promising gene candidates is the B cell lymphoma 2 (BCL-2) gene. BCL-2 regulates apoptosis by antagonizing the action of proapoptotic BCL-2 family member proteins. The synonymous mutations in BCL2 are enriched in its anti-apoptotic domain and likely play a role in cancer cell proliferation. CONCLUSION Our study introduces MutSigCVsyn, an algorithm that accounts for mutational heterogeneity at patient, histology, and gene levels, to identify cancer-associated genes that are enriched for synonymous mutations using whole genome sequencing data. We identified 30 putative candidate genes that will benefit from future experimental studies on the role of synonymous mutations in cancer biology.
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Affiliation(s)
- Yiyun Rao
- Huck Institute of the Life Sciences, Pennsylvania State University, University Park, State College, PA, 16802, USA
| | - Nabeel Ahmed
- Huck Institute of the Life Sciences, Pennsylvania State University, University Park, State College, PA, 16802, USA
- Moderna, Inc., Cambridge, USA
| | - Justin Pritchard
- Department of Biomedical Engineering, Pennsylvania State University, University Park, State College, PA, 16802, USA.
| | - Edward P O'Brien
- Department of Chemistry, Pennsylvania State University, University Park, State College, PA, 16802, USA.
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, State College, PA, 16802, USA.
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23
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Sword TT, Dinglasan JLN, Abbas GS, William Barker J, Spradley ME, Greene ER, Gooden DS, Emrich SJ, Gilchrist MA, Doktycz MJ, Bailey CB. Profiling Expression Strategies for a Type III Polyketide Synthase in a Lysate-Based, Cell-free System. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569483. [PMID: 38077034 PMCID: PMC10705458 DOI: 10.1101/2023.11.30.569483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
Some of the most metabolically diverse species of bacteria (e.g., Actinobacteria) have higher GC content in their DNA, differ substantially in codon usage, and have distinct protein folding environments compared to tractable expression hosts like Escherichia coli. Consequentially, expressing biosynthetic gene clusters (BGCs) from these bacteria in E. coli frequently results in a myriad of unpredictable issues with protein expression and folding, delaying the biochemical characterization of new natural products. Current strategies to achieve soluble, active expression of these enzymes in tractable hosts, such as BGC refactoring, can be a lengthy trial-and-error process. Cell-free expression (CFE) has emerged as 1) a valuable expression platform for enzymes that are challenging to synthesize in vivo, and as 2) a testbed for rapid prototyping that can improve cellular expression. Here, we use a type III polyketide synthase from Streptomyces griseus, RppA, which catalyzes the formation of the red pigment flaviolin, as a reporter to investigate BGC refactoring techniques. We synergistically tune promoter and codon usage to improve flaviolin production from cell-free expressed RppA. We then assess the utility of cell-free systems for prototyping these refactoring tactics prior to their implementation in cells. Overall, codon harmonization improves natural product synthesis more than traditional codon optimization across cell-free and cellular environments. Refactoring promoters and/or coding sequences via CFE can be a valuable strategy to rapidly screen for catalytically functional production of enzymes from BCGs. By showing the coordinators between CFE versus in vivo expression, this work advances CFE as a tool for natural product research.
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Affiliation(s)
- Tien T. Sword
- Department of Chemistry, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Jaime Lorenzo N. Dinglasan
- Biosciences Division, Oak Ridge National Laboratory (Oak Ridge, TN USA)
- Graduate School of Genome Science & Technology, University of Tennessee-Knoxville Knoxville (Knoxville, TN USA)
| | - Ghaeath S.K. Abbas
- Department of Chemistry, University of Tennessee-Knoxville (Knoxville, TN USA)
- University of Sydney, School of Chemistry (Sydney, NSW, Australia)
| | - J. William Barker
- Department of Chemistry, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Madeline E. Spradley
- Department of Biochemistry, Cellular, and Molecular Biology, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Elijah R. Greene
- Department of Chemistry, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Damian S. Gooden
- Department of Chemistry, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Scott J. Emrich
- Graduate School of Genome Science & Technology, University of Tennessee-Knoxville Knoxville (Knoxville, TN USA)
- Department of Electrical Engineering and Computer Science, University of Tennessee-Knoxville (Knoxville, TN USA)
- Department of Ecology & Evolutionary Biology, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Michael A. Gilchrist
- Graduate School of Genome Science & Technology, University of Tennessee-Knoxville Knoxville (Knoxville, TN USA)
- Department of Ecology & Evolutionary Biology, University of Tennessee-Knoxville (Knoxville, TN USA)
| | - Mitchel J. Doktycz
- Biosciences Division, Oak Ridge National Laboratory (Oak Ridge, TN USA)
- Graduate School of Genome Science & Technology, University of Tennessee-Knoxville Knoxville (Knoxville, TN USA)
| | - Constance B. Bailey
- Department of Chemistry, University of Tennessee-Knoxville (Knoxville, TN USA)
- Graduate School of Genome Science & Technology, University of Tennessee-Knoxville Knoxville (Knoxville, TN USA)
- University of Sydney, School of Chemistry (Sydney, NSW, Australia)
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24
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Engel AJ, Paech S, Langhans M, van Etten JL, Moroni A, Thiel G, Rauh O. Combination of hydrophobicity and codon usage bias determines sorting of model K + channel protein to either mitochondria or endoplasmic reticulum. Traffic 2023; 24:533-545. [PMID: 37578147 DOI: 10.1111/tra.12915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/09/2023] [Accepted: 07/27/2023] [Indexed: 08/15/2023]
Abstract
When the K+ channel-like protein Kesv from Ectocarpus siliculosus virus 1 is heterologously expressed in mammalian cells, it is sorted to the mitochondria. This targeting can be redirected to the endoplasmic reticulum (ER) by altering the codon usage in distinct regions of the gene or by inserting a triplet of hydrophobic amino acids (AAs) into the protein's C-terminal transmembrane domain (ct-TMD). Systematic variations in the flavor of the inserted AAs and/or its codon usage show that a positive charge in the inserted AA triplet alone serves as strong signal for mitochondria sorting. In cases of neutral AA triplets, mitochondria sorting are favored by a combination of hydrophilic AAs and rarely used codons; sorting to the ER exhibits the inverse dependency. This propensity for ER sorting is particularly high when a common codon follows a rarer one in the AA triplet; mitochondria sorting in contrast is supported by codon uniformity. Since parameters like positive charge, hydrophobic AAs, and common codons are known to facilitate elongation of nascent proteins in the ribosome the data suggest a mechanism in which local changes in elongation velocity and co-translational folding in the ct-TMD influence intracellular protein sorting.
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Affiliation(s)
- Anja J Engel
- Faculty of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Steffen Paech
- Faculty of Chemistry, Macromolecular and Paper Chemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - Markus Langhans
- Faculty of Chemistry, Macromolecular and Paper Chemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - James L van Etten
- Department of Plant Pathology and Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Anna Moroni
- Department of Biosciences and CNR IBF-Mi, Università degli Studi di Milano, Milan, Italy
| | - Gerhard Thiel
- Faculty of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Oliver Rauh
- Faculty of Biology, Technical University of Darmstadt, Darmstadt, Germany
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25
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Sako H, Youssef M, Elisseeva O, Akimoto T, Suzuki K, Ushida T, Yamamoto T. microRNAs slow translating ribosomes to prevent protein misfolding in eukaryotes. EMBO J 2023; 42:e112469. [PMID: 37492926 PMCID: PMC10505912 DOI: 10.15252/embj.2022112469] [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: 08/25/2022] [Revised: 03/20/2023] [Accepted: 06/18/2023] [Indexed: 07/27/2023] Open
Abstract
Slower translation rates reduce protein misfolding. Such reductions in speed can be mediated by the presence of non-optimal codons, which allow time for proper folding to occur. Although this phenomenon is conserved from bacteria to humans, it is not known whether there are additional eukaryote-specific mechanisms which act in the same way. MicroRNAs (miRNAs), not present in prokaryotes, target both coding sequences (CDS) and 3' untranslated regions (UTR). Given their low suppressive efficiency, it has been unclear why miRNAs are equally likely to bind to a CDS. Here, we show that miRNAs transiently stall translating ribosomes, preventing protein misfolding with little negative effect on protein abundance. We first analyzed ribosome profiles and miRNA binding sites to examine whether miRNAs stall ribosomes. Furthermore, either global or specific miRNA deficiency accelerated ribosomes and induced aggregation of a misfolding-prone polypeptide reporter. These defects were rescued by slowing ribosomes using non-cleaving shRNAs as miRNA mimics. We finally show that proinsulin misfolding, associated with type II diabetes, was resolved by non-cleaving shRNAs. Our findings provide a eukaryote-specific mechanism of co-translational protein folding and a previously unknown mechanism of action to target protein misfolding diseases.
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Affiliation(s)
- Hiroaki Sako
- Cell Signal UnitOkinawa Institute of Science and Technology Graduate University (OIST)OkinawaJapan
| | - Mohieldin Youssef
- Cell Signal UnitOkinawa Institute of Science and Technology Graduate University (OIST)OkinawaJapan
| | - Olga Elisseeva
- Cell Signal UnitOkinawa Institute of Science and Technology Graduate University (OIST)OkinawaJapan
| | | | | | - Takashi Ushida
- Department of Mechanical EngineeringThe University of TokyoTokyoJapan
| | - Tadashi Yamamoto
- Cell Signal UnitOkinawa Institute of Science and Technology Graduate University (OIST)OkinawaJapan
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26
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Davyt M, Bharti N, Ignatova Z. Effect of mRNA/tRNA mutations on translation speed: Implications for human diseases. J Biol Chem 2023; 299:105089. [PMID: 37495112 PMCID: PMC10470029 DOI: 10.1016/j.jbc.2023.105089] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 07/28/2023] Open
Abstract
Recent discoveries establish tRNAs as central regulators of mRNA translation dynamics, and therefore cotranslational folding and function of the encoded protein. The tRNA pool, whose composition and abundance change in a cell- and tissue-dependent manner, is the main factor which determines mRNA translation velocity. In this review, we discuss a group of pathogenic mutations, in the coding sequences of either protein-coding genes or in tRNA genes, that alter mRNA translation dynamics. We also summarize advances in tRNA biology that have uncovered how variations in tRNA levels on account of genetic mutations affect protein folding and function, and thereby contribute to phenotypic diversity in clinical manifestations.
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Affiliation(s)
- Marcos Davyt
- Institute of Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany
| | - Nikhil Bharti
- Institute of Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany
| | - Zoya Ignatova
- Institute of Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany.
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27
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Stewart RK, Nguyen P, Laederach A, Volkan PC, Sawyer JK, Fox DT. Orb2 enables rare-codon-enriched mRNA expression during Drosophila neuron differentiation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.26.550700. [PMID: 37546801 PMCID: PMC10402044 DOI: 10.1101/2023.07.26.550700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Regulation of codon optimality is an increasingly appreciated layer of cell- and tissue-specific protein expression control. Here, we use codon-modified reporters to show that differentiation of Drosophila neural stem cells into neurons enables protein expression from rare-codon-enriched genes. From a candidate screen, we identify the cytoplasmic polyadenylation element binding (CPEB) protein Orb2 as a positive regulator of rare-codon-dependent expression in neurons. Using RNA sequencing, we reveal that Orb2-upregulated mRNAs in the brain with abundant Orb2 binding sites have a rare-codon bias. From these Orb2-regulated mRNAs, we demonstrate that rare-codon enrichment is important for expression control and social behavior function of the metabotropic glutamate receptor (mGluR). Our findings reveal a molecular mechanism by which neural stem cell differentiation shifts genetic code regulation to enable critical mRNA and protein expression.
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28
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Li L, Meng D, Yin H, Zhang T, Liu Y. Genome-resolved metagenomics provides insights into the ecological roles of the keystone taxa in heavy-metal-contaminated soils. Front Microbiol 2023; 14:1203164. [PMID: 37547692 PMCID: PMC10402746 DOI: 10.3389/fmicb.2023.1203164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/29/2023] [Indexed: 08/08/2023] Open
Abstract
Microorganisms that exhibit resistance to environmental stressors, particularly heavy metals, have the potential to be used in bioremediation strategies. This study aimed to explore and identify microorganisms that are resistant to heavy metals in soil environments as potential candidates for bioremediation. Metagenomic analysis was conducted using microbiome metagenomes obtained from the rhizosphere of soil contaminated with heavy metals and mineral-affected soil. The analysis resulted in the recovery of a total of 175 metagenome-assembled genomes (MAGs), 73 of which were potentially representing novel taxonomic levels beyond the genus level. The constructed ecological network revealed the presence of keystone taxa, including Rhizobiaceae, Xanthobacteraceae, Burkholderiaceae, and Actinomycetia. Among the recovered MAGs, 50 were associated with these keystone taxa. Notably, these MAGs displayed an abundance of genes conferring resistance to heavy metals and other abiotic stresses, particularly those affiliated with the keystone taxa. These genes were found to combat excessive accumulation of zinc/manganese, arsenate/arsenite, chromate, nickel/cobalt, copper, and tellurite. Furthermore, the keystone taxa were found to utilize both organic and inorganic energy sources, such as sulfur, arsenic, and carbon dioxide. Additionally, these keystone taxa exhibited the ability to promote vegetation development in re-vegetated mining areas through phosphorus solubilization and metabolite secretion. In summary, our study highlights the metabolic adaptability and ecological significance of microbial keystone taxa in mineral-affected soils. The MAGs associated with keystone taxa exhibited a markedly higher number of genes related to abiotic stress resistance and plant growth promotion compared to non-keystone taxa MAGs.
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Affiliation(s)
- Liangzhi Li
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
| | - Delong Meng
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
| | - Huaqun Yin
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
| | - Teng Zhang
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
- Hunan Urban and Rural Environmental Construction Co., Ltd, Changsha, China
| | - Yongjun Liu
- Hunan Tobacco Science Institute, Changsha, China
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29
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Halder R, Nissley DA, Sitarik I, Jiang Y, Rao Y, Vu QV, Li MS, Pritchard J, O'Brien EP. How soluble misfolded proteins bypass chaperones at the molecular level. Nat Commun 2023; 14:3689. [PMID: 37344452 DOI: 10.1038/s41467-023-38962-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/24/2023] [Indexed: 06/23/2023] Open
Abstract
Subpopulations of soluble, misfolded proteins can bypass chaperones within cells. The extent of this phenomenon and how it happens at the molecular level are unknown. Through a meta-analysis of the experimental literature we find that in all quantitative protein refolding studies there is always a subpopulation of soluble but misfolded protein that does not fold in the presence of one or more chaperones, and can take days or longer to do so. Thus, some misfolded subpopulations commonly bypass chaperones. Using multi-scale simulation models we observe that the misfolded structures that bypass various chaperones can do so because their structures are highly native like, leading to a situation where chaperones do not distinguish between the folded and near-native-misfolded states. More broadly, these results provide a mechanism by which long-time scale changes in protein structure and function can persist in cells because some misfolded states can bypass components of the proteostasis machinery.
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Affiliation(s)
- Ritaban Halder
- Department of Chemistry, Pennsylvania State University, University Park, PA, 16802, USA
| | - Daniel A Nissley
- Department of Chemistry, Pennsylvania State University, University Park, PA, 16802, USA
- Department of Statistics, University of Oxford, Oxford, OX1 3LB, UK
| | - Ian Sitarik
- Department of Chemistry, Pennsylvania State University, University Park, PA, 16802, USA
| | - Yang Jiang
- Department of Chemistry, Pennsylvania State University, University Park, PA, 16802, USA
| | - Yiyun Rao
- Molecular, Cellular and Integrative Biosciences Program, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, 16802, USA
| | - Quyen V Vu
- Institute of Physics, Polish Academy of Sciences; Al. Lotnikow 32/46, 02-668, Warsaw, Poland
| | - Mai Suan Li
- Institute of Physics, Polish Academy of Sciences; Al. Lotnikow 32/46, 02-668, Warsaw, Poland
- Institute for Computational Sciences and Technology; Quang Trung Software City, Tan Chanh Hiep Ward, District 12, Ho Chi Minh City, Vietnam
| | - Justin Pritchard
- Department of Biomedical Engineering, Pennsylvania State University, State College, PA, 16802, USA
- Huck Institute for the Life Sciences, Pennsylvania State University, State College, PA, 16802, USA
| | - Edward P O'Brien
- Department of Chemistry, Pennsylvania State University, University Park, PA, 16802, USA.
- Bioinformatics and Genomics Graduate Program, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, 16802, USA.
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA, 16802, USA.
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Abstract
Messenger RNA (mRNA) stability and translational efficiency are two crucial aspects of the post-transcriptional process that profoundly impact protein production in a cell. While it is widely known that ribosomes produce proteins, studies during the past decade have surprisingly revealed that ribosomes also control mRNA stability in a codon-dependent manner, a process referred to as codon optimality. Therefore, codons, the three-nucleotide words read by the ribosome, have a potent effect on mRNA stability and provide cis-regulatory information that extends beyond the amino acids they encode. While the codon optimality molecular mechanism is still unclear, the translation elongation rate appears to trigger mRNA decay. Thus, transfer RNAs emerge as potential master gene regulators affecting mRNA stability. Furthermore, while few factors related to codon optimality have been identified in yeast, the orthologous genes in vertebrates do not necessary share the same functions. Here, we discuss codon optimality findings and gene regulation layers related to codon composition in different eukaryotic species.
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Affiliation(s)
- Qiushuang Wu
- Stowers Institute for Medical Research, Kansas City, Missouri, USA;
| | - Ariel A Bazzini
- Stowers Institute for Medical Research, Kansas City, Missouri, USA;
- Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas, USA
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31
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Yang Y, Wang J, Dai R, Wang X. Structural Characteristics and Phylogenetic Analysis of the Mitochondrial Genomes of Four Krisna Species (Hemiptera: Cicadellidae: Iassinae). Genes (Basel) 2023; 14:1175. [PMID: 37372355 DOI: 10.3390/genes14061175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
Krisna species are insects that have piercing-sucking mouthparts and belong to the Krisnini tribe in the Iassinae subfamily of leafhoppers in the Cicadellidae family. In this study, we sequenced and compared the mitochondrial genomes (mitogenomes) of four Krisna species. The results showed that all four mitogenomes were composed of cyclic double-stranded molecules and contained 13 protein-coding genes (PCGs) and 22 and 2 genes coding for tRNAs and rRNAs, respectively. Those mitogenomes exhibited similar base composition, gene size, and codon usage patterns for the protein-coding genes. The analysis of the nonsynonymous substitution rate (Ka)/synonymous substitution rate (Ks) showed that evolution occurred the fastest in ND4 and the slowest in COI. 13 PCGs that underwent purification selection were suitable for studying phylogenetic relationships within Krisna. ND2, ND6, and ATP6 had highly variable nucleotide diversity, whereas COI and ND1 exhibited the lowest diversity. Genes or gene regions with high nucleotide diversity can provide potential marker candidates for population genetics and species delimitation in Krisna. Analyses of parity and neutral plots showed that both natural selection and mutation pressure affected the codon usage bias. In the phylogenetic analysis, all subfamilies were restored to a monophyletic group; the Krisnini tribe is monophyletic, and the Krisna genus is paraphyletic. Our study provides novel insights into the significance of the background nucleotide composition and codon usage patterns in the CDSs of the 13 mitochondrial PCGs of the Krisna genome, which could enable the identification of a different gene organization and may be used for accurate phylogenetic analysis of Krisna species.
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Affiliation(s)
- Yanqiong Yang
- Provincial Key Laboratory for Agricultural Pest Management of Mountainous Region, Institute of Entomology, Guizhou University, Guiyang 550025, China
| | - Jiajia Wang
- Provincial Key Laboratory for Agricultural Pest Management of Mountainous Region, Institute of Entomology, Guizhou University, Guiyang 550025, China
| | - Renhuai Dai
- Provincial Key Laboratory for Agricultural Pest Management of Mountainous Region, Institute of Entomology, Guizhou University, Guiyang 550025, China
| | - Xianyi Wang
- Engineering Research Center of Medical Biotechnology, School of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China
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32
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Nieuwkoop T, Terlouw BR, Stevens KG, Scheltema R, de Ridder D, van der Oost J, Claassens N. Revealing determinants of translation efficiency via whole-gene codon randomization and machine learning. Nucleic Acids Res 2023; 51:2363-2376. [PMID: 36718935 PMCID: PMC10018363 DOI: 10.1093/nar/gkad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 12/14/2022] [Accepted: 01/16/2023] [Indexed: 02/01/2023] Open
Abstract
It has been known for decades that codon usage contributes to translation efficiency and hence to protein production levels. However, its role in protein synthesis is still only partly understood. This lack of understanding hampers the design of synthetic genes for efficient protein production. In this study, we generated a synonymous codon-randomized library of the complete coding sequence of red fluorescent protein. Protein production levels and the full coding sequences were determined for 1459 gene variants in Escherichia coli. Using different machine learning approaches, these data were used to reveal correlations between codon usage and protein production. Interestingly, protein production levels can be relatively accurately predicted (Pearson correlation of 0.762) by a Random Forest model that only relies on the sequence information of the first eight codons. In this region, close to the translation initiation site, mRNA secondary structure rather than Codon Adaptation Index (CAI) is the key determinant of protein production. This study clearly demonstrates the key role of codons at the start of the coding sequence. Furthermore, these results imply that commonly used CAI-based codon optimization of the full coding sequence is not a very effective strategy. One should rather focus on optimizing protein production via reducing mRNA secondary structure formation with the first few codons.
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Affiliation(s)
| | | | - Katherine G Stevens
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Richard A Scheltema
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Dick de Ridder
- Bioinformatics Group, Wageningen University, Wageningen, Droevendaalsesteeg 1, 6708 PB, The Netherlands
| | - John van der Oost
- Correspondence may also be addressed to John van der Oost. Tel: +31 317483740;
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Chen X, Liu X, Gan X, Li S, Ma H, Zhang L, Wang P, Li Y, Huang T, Yang X, Fang L, Liang Y, Wu J, Chen T, Zhou Z, Liu X, Guo J. Differential regulation of phosphorylation, structure and stability of circadian clock protein FRQ isoforms. J Biol Chem 2023; 299:104597. [PMID: 36898580 PMCID: PMC10140173 DOI: 10.1016/j.jbc.2023.104597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 03/12/2023] Open
Abstract
Neurospora crassa is an important model for circadian clock research. The Neurospora core circadian component FRQ protein has two isoforms, large FRQ (l-FRQ) and small FRQ (s-FRQ), of which l-FRQ bears an additional N-terminal 99-amino acid fragment. However, how the FRQ isoforms operate differentially in regulating the circadian clock remains elusive. Here, we show l-FRQ and s-FRQ play different roles in regulating the circadian negative feedback loop. Compared to s-FRQ, l-FRQ is less stable at three temperatures, and undergoes hypophosphorylation and faster degradation. The phosphorylation of the C-terminal l-FRQ 794-aa fragment was markedly higher than that of s-FRQ, suggesting the l-FRQ N-terminal 99-aa region may regulate phosphorylation of the entire FRQ protein. Quantitative label-free LC/MS analysis identified several peptides that were differentially phosphorylated between l-FRQ and s-FRQ, which were distributed in FRQ in an interlaced fashion. Furthermore, we identified two novel phosphorylation sites, S765 and T781; mutations S765A and T781A showed no significant effects on conidiation rhythmicity, although T781 conferred FRQ stability. These findings demonstrate that FRQ isoforms play differential roles in the circadian negative feedback loop and undergo different regulation of phosphorylation, structure, and stability. The l-FRQ N-terminal 99-aa region plays an important role in regulating the phosphorylation, stability, conformation, and function of the FRQ protein. As the FRQ circadian clock counterparts in other species also have isoforms or paralogues, these findings will also further our understanding of the underlying regulatory mechanisms of the circadian clock in other organisms based on the high conservation of circadian clocks in eukaryotes.
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Affiliation(s)
- Xianyun Chen
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Xiaolan Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xihui Gan
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Silin Li
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Huan Ma
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Lin Zhang
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Peiliang Wang
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Yunzhen Li
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Tianyu Huang
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Xiaolin Yang
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Ling Fang
- Sun Yat-sen University Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou 510006, China
| | - Yingying Liang
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Jingjing Wu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Tongyue Chen
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zengxuan Zhou
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Xiao Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinhu Guo
- State Key Laboratory of Biocontrol, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China.
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34
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Zhang H, Xiong Y, Xiao W, Wu Y. Investigation of Genome Biology by Synthetic Genome Engineering. Bioengineering (Basel) 2023; 10:271. [PMID: 36829765 PMCID: PMC9952402 DOI: 10.3390/bioengineering10020271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 02/22/2023] Open
Abstract
Synthetic genomes were designed based on an understanding of natural genomic information, offering an opportunity to engineer and investigate biological systems on a genome-wide scale. Currently, the designer version of the M. mycoides genome and the E. coli genome, as well as most of the S. cerevisiae genome, have been synthesized, and through the cycles of design-build-test and the following engineering of synthetic genomes, many fundamental questions of genome biology have been investigated. In this review, we summarize the use of synthetic genome engineering to explore the structure and function of genomes, and highlight the unique values of synthetic genomics.
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Affiliation(s)
- Hui Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yao Xiong
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Wenhai Xiao
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yi Wu
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
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35
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Wang Z, Wang C, Zhang Y, Liu S, Cheng Y, Wang S, Xia P, Hao L. Porcine IGF-1R synonymous mutations in the extracellular domain affect proliferation and differentiation of skeletal muscle cells. Gene 2023; 854:147098. [PMID: 36496177 DOI: 10.1016/j.gene.2022.147098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 11/24/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Miniature pigs are considered ideal organ donors for xenotransplantation in humans, but the mechanism underlying their dwarfism remains to be elucidated. IGF-1R is a crucial factor in body size formation in mammals, including skeletal muscle formation and development. The extracellular domain (ECD) binds to the ligand, a phenomenon that results in the activation of downstream pathways. METHODS In this study, the coding sequences of two IGF-1R ECD haplotypes of the large Landrace (LP) pig and the small Bama Xiang (BM) pig were cloned into pcDNA3.1 vectors to generate pcDNA3.1-LP and pcDNA3.1-BM. The two recombinant vectors were then transfected into skeletal muscle cells. RESULTS IGF-1R transcript was found to be expressed at higher levels in the pcDNA3.1-LP group than in the pcDNA3.1-BM group. The IGF-1R ECD from LP promoted cell proliferation and CyclinD1 expression, and promoted the phosphorylation of protein kinase B (to yield p-AKT). Moreover, the IGF-1R ECD from LP increased cell differentiation and the expression of myogenic determination factor (MyoD). CONCLUSION Our data indicated that the IGF-1R ECD haplotypes between pig breeds with different body sizes affect IGF-1R expression, in turn affecting the proliferation and differentiation of skeletal muscle cells by activating downstream signalling pathways.
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Affiliation(s)
- Zhaoguo Wang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Chunli Wang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Ying Zhang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Songcai Liu
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China.
| | - Yunyun Cheng
- Ministry of Health Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun, Jilin 130061, China
| | - Siyao Wang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Peijun Xia
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Linlin Hao
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China.
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Qiu H, Zhang ZH, Wang MZ, Jin XJ, Lin JD, Comes HP, Chen JX, Cui RN, Duan RQ, Li P. Plastome evolution and phylogenomics of Impatiens (Balsaminaceae). PLANTA 2023; 257:45. [PMID: 36695892 DOI: 10.1007/s00425-023-04078-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 01/16/2023] [Indexed: 06/17/2023]
Abstract
This study reported seven new plastomes from Impatiens and observed three highly variable regions for phylogeny and DNA barcoding, which resolved the relationships among sections of subgenus Impatiens. Impatiens L. (Balsaminaceae, Ericales) is one of the largest and most diverse genera of angiosperms, widely known for its taxonomic difficulty. In this study, we reevaluated the infrageneric relationships within the genus Impatiens, using complete plastome sequence data. Seven complete plastomes of Impatiens (representing 6 species) were newly sequenced and characterized along with 20 previously published plastomes of other Impatiens species, plus 2 plastomes of outgroups (Hydrocera triflora, Balsaminaceae; Marcgravia coriacea, Marcgraviaceae). The total size of these 29 plastomes ranged from 151,538 bp to 152,917 bp, except 2 samples of Impatiens morsei, which exhibited a shorter length and lost some genes encoding NADH dehydrogenase subunits. Moreover, the number of simple sequence repeats (SSRs) ranged from 51 to 113, and the number of long repeats from 17 to 26. In addition, three highly variable regions were identified (trnG-GCC (The previous one), ndhF-rpl32-trnL-UGA-ccsA, and ycf1). Our phylogenomic analysis based on 80 plastome-derived protein-coding genes strongly supported the monophyly of Impatiens and its two subgenera (Clavicarpa and Impatiens), and fully resolved relationships among the six (out of seven) sampled sections of subgenus Impatiens. Overall, the plastome DNA markers and phylogenetic results reported in this study will facilitate future identification, taxonomic and DNA barcoding studies in Impatiens as well as evolutionary studies in Balsaminaceae.
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Affiliation(s)
- He Qiu
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhi-Hui Zhang
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Mei-Zhen Wang
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xin-Jie Jin
- College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Jie-Dong Lin
- Zhangzhou Huaqiao Middle School, Zhangzhou, 363030, China
| | - Hans Peter Comes
- Department of Environment and Biodiversity, Salzburg University, 5020, Salzburg, Austria
| | - Jing-Xuan Chen
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Rui-Ning Cui
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Ru-Qing Duan
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Pan Li
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
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Pham MH, Tran TH, Le TD, Le TL, Hoang H, Chu HH. The Complete Chloroplast Genome of An Ophiorrhiza baviensis Drake Species Reveals Its Molecular Structure, Comparative, and Phylogenetic Relationships. Genes (Basel) 2023; 14:genes14010227. [PMID: 36672968 PMCID: PMC9859165 DOI: 10.3390/genes14010227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/19/2022] [Accepted: 01/07/2023] [Indexed: 01/18/2023] Open
Abstract
Ophiorrhiza baviensis Drake, a flowering medical plant in the Rubiaceae, exists uncertainly within the Ophiorrhiza genus' evolutionary relationships. For the first time, the whole chloroplast (cp) genome of an O. baviensis Drake species was sequenced and annotated. Our findings demonstrate that the complete cp genome of O. baviensis is 154,770 bp in size, encoding a total of 128 genes, including 87 protein-coding genes, 8 rRNAs, and 33 tRNAs. A total of 59 SSRs were screened in the studied cp genome, along with six highly variable loci, which can be applied to generate significant molecular markers for the Ophiorrhiza genus. The comparative analysis of the O. baviensis cp genome with two published others of the Ophiorrhiza genus revealed a high similarity; however, there were some notable gene rearrangements in the O. densa plastome. The maximum likelihood phylogenetic trees were constructed based on the concatenation of the rps16 gene and the trnL-trnF intergenic spacer sequence, indicating a close relationship between the studied O. baviensis and other Ophiorrhiza. This study will provide a theoretical molecular basis for identifying O. baviensis Drake, as well as species of the Ophiorrhiza genus, and contribute to shedding light on the chloroplast genome evolution of Rubiaceae.
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Affiliation(s)
- Mai Huong Pham
- Institute of Biotechnology (IBT), Vietnam Academy of Science & Technology (VAST), Hanoi 100000, Vietnam
| | - Thu Hoai Tran
- Institute of Biotechnology (IBT), Vietnam Academy of Science & Technology (VAST), Hanoi 100000, Vietnam
| | - Thi Dung Le
- Institute of Biotechnology (IBT), Vietnam Academy of Science & Technology (VAST), Hanoi 100000, Vietnam
| | - Tung Lam Le
- Institute of Biotechnology (IBT), Vietnam Academy of Science & Technology (VAST), Hanoi 100000, Vietnam
| | - Ha Hoang
- Institute of Biotechnology (IBT), Vietnam Academy of Science & Technology (VAST), Hanoi 100000, Vietnam
| | - Hoang Ha Chu
- Institute of Biotechnology (IBT), Vietnam Academy of Science & Technology (VAST), Hanoi 100000, Vietnam
- Faculty of Biotechnology, Graduate University of Science and Technology, VAST, Hanoi 100000, Vietnam
- Correspondence:
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38
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Eisenack TJ, Trentini DB. Ending a bad start: Triggers and mechanisms of co-translational protein degradation. Front Mol Biosci 2023; 9:1089825. [PMID: 36660423 PMCID: PMC9846516 DOI: 10.3389/fmolb.2022.1089825] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 12/15/2022] [Indexed: 01/05/2023] Open
Abstract
Proteins are versatile molecular machines that control and execute virtually all cellular processes. They are synthesized in a multilayered process requiring transfer of information from DNA to RNA and finally into polypeptide, with many opportunities for error. In addition, nascent proteins must successfully navigate a complex folding-energy landscape, in which their functional native state represents one of many possible outcomes. Consequently, newly synthesized proteins are at increased risk of misfolding and toxic aggregation. To maintain proteostasis-the state of proteome balance-cells employ a plethora of molecular chaperones that guide proteins along a productive folding pathway and quality control factors that direct misfolded species for degradation. Achieving the correct balance between folding and degradation therefore represents a fundamental task for the proteostasis network. While many chaperones act co-translationally, protein quality control is generally considered to be a post-translational process, as the majority of proteins will only achieve their final native state once translation is completed. Nevertheless, it has been observed that proteins can be ubiquitinated during synthesis. The extent and the relevance of co-translational protein degradation, as well as the underlying molecular mechanisms, remain areas of open investigation. Recent studies made seminal advances in elucidating ribosome-associated quality control processes, and how their loss of function can lead to proteostasis failure and disease. Here, we discuss current understanding of the situations leading to the marking of nascent proteins for degradation before synthesis is completed, and the emerging quality controls pathways engaged in this task in eukaryotic cells. We also highlight the methods used to study co-translational quality control.
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Affiliation(s)
- Tom Joshua Eisenack
- University of Cologne, Faculty of Medicine, University Hospital of Cologne, Center for Molecular Medicine Cologne (CMMC), Cologne, Germany
| | - Débora Broch Trentini
- University of Cologne, Faculty of Medicine, University Hospital of Cologne, Center for Molecular Medicine Cologne (CMMC), Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
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Genome-wide sequencing identifies a thermal-tolerance related synonymous mutation in the mussel, Mytilisepta virgata. Commun Biol 2023; 6:5. [PMID: 36596992 PMCID: PMC9810668 DOI: 10.1038/s42003-022-04407-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 12/23/2022] [Indexed: 01/05/2023] Open
Abstract
The roles of synonymous mutations for adapting to stressful thermal environments are of fundamental biological and ecological interests but poorly understood. To study whether synonymous mutations influence thermal adaptation at specific microhabitats, a genome-wide genotype-phenotype association analysis is carried out in the black mussels Mytilisepta virgata. A synonymous mutation of Ubiquitin-specific Peptidase 15 (MvUSP15) is significantly associated with the physiological upper thermal limit. The individuals carrying GG genotype (the G-type) at the mutant locus possess significantly lower heat tolerance compared to the individuals carrying GA and AA genotypes (the A-type). When heated to sublethal temperature, the G-type exhibit higher inter-individual variations in MvUSP15 expression, especially for the mussels on the sun-exposed microhabitats. Taken together, a synonymous mutation in MvUSP15 can affect the gene expression profile and interact with microhabitat heterogeneity to influence thermal resistance. This integrative study sheds light on the ecological importance of adaptive synonymous mutations as an underappreciated genetic buffer against heat stress and emphasizes the importance of integrative studies at a microhabitat scale for evaluating and predicting the impacts of climate change.
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40
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Zabolotskii AI, Kozlovskiy SV, Katrukha AG. The Influence of the Nucleotide Composition of Genes and Gene Regulatory Elements on the Efficiency of Protein Expression in Escherichia coli. BIOCHEMISTRY (MOSCOW) 2023; 88:S176-S191. [PMID: 37069120 DOI: 10.1134/s0006297923140109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Recombinant proteins expressed in Escherichia coli are widely used in biochemical research and industrial processes. At the same time, achieving higher protein expression levels and correct protein folding still remains the key problem, since optimization of nutrient media, growth conditions, and methods for induction of protein synthesis do not always lead to the desired result. Often, low protein expression is determined by the sequences of the expressed genes and their regulatory regions. The genetic code is degenerated; 18 out of 20 amino acids are encoded by more than one codon. Choosing between synonymous codons in the coding sequence can significantly affect the level of protein expression and protein folding due to the influence of the gene nucleotide composition on the probability of formation of secondary mRNA structures that affect the ribosome binding at the translation initiation phase, as well as the ribosome movement along the mRNA during elongation, which, in turn, influences the mRNA degradation and the folding of the nascent protein. The nucleotide composition of the mRNA untranslated regions, in particular the promoter and Shine-Dalgarno sequences, also affects the efficiency of mRNA transcription, translation, and degradation. In this review, we describe the genetic principles that determine the efficiency of protein production in Escherichia coli.
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Affiliation(s)
- Artur I Zabolotskii
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119991, Russia.
| | | | - Alexey G Katrukha
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
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Wang Z, Bartholomai BM, Loros JJ, Dunlap JC. Optimized fluorescent proteins for 4-color and photoconvertible live-cell imaging in Neurospora crassa. Fungal Genet Biol 2023; 164:103763. [PMID: 36481248 PMCID: PMC10501358 DOI: 10.1016/j.fgb.2022.103763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
Fungal cells are quite unique among life in their organization and structure, and yet implementation of many tools recently developed for fluorescence imaging in animal systems and yeast has been slow in filamentous fungi. Here we present analysis of properties of fluorescent proteins in Neurospora crassa as well as describing genetic tools for the expression of these proteins that may be useful beyond cell biology applications. The brightness and photostability of ten different fluorescent protein tags were compared in a well-controlled system; six different promoters are described for the assessment of the fluorescent proteins and varying levels of expression, as well as a customizable bidirectional promoter system. We present an array of fluorescent proteins suitable for use across the visible light spectrum to allow for 4-color imaging, in addition to a photoconvertible fluorescent protein that enables a change in the color of a small subset of proteins in the cell. These tools build on the rich history of cell biology research in filamentous fungi and provide new tools to help expand research capabilities.
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Affiliation(s)
- Ziyan Wang
- Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover, NH, USA
| | - Bradley M Bartholomai
- Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover, NH, USA
| | - Jennifer J Loros
- Geisel School of Medicine at Dartmouth, Department of Biochemistry and Cell Biology, Hanover, NH, USA
| | - Jay C Dunlap
- Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover, NH, USA.
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42
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Knight TJ, Povey JF, Vito D, Mohindra A, Jaques CM, Smales CM. Manipulation of mRNA translation elongation influences the fragmentation of a biotherapeutic Fc-fusion protein produced in CHO cells. Biotechnol Bioeng 2022; 119:3408-3420. [PMID: 36082414 PMCID: PMC9826484 DOI: 10.1002/bit.28230] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 08/05/2022] [Accepted: 09/01/2022] [Indexed: 01/11/2023]
Abstract
Mammalian cells, particularly Chinese hamster ovary cells, are the dominant system for the production of protein-based biotherapeutics, however, product degradation, particularly of Fc-fusion proteins, is sometimes observed that impacts the quality of the protein generated. Here, we identify the site of fragmentation of a model immunoglobulin G1 Fc-fusion protein, show that the observed clipping and aggregation are decreased by reduced temperature culturing, that the fragmentation/clipping is intracellular, and that reduced clipping at a lower temperature (<37°C) relates to mesenger RNA (mRNA) translation elongation. We subsequently show that reduced fragmentation can be achieved at 37°C by addition of chemical reagents that slow translation elongation. We then modified mRNA translation elongation speeds by designing different transcript sequences for the Fc-fusion protein based on alternative codon usage and improved the product yield at 37°C, and the ratio of intact to a fragmented product. Our data suggest that rapid elongation results in misfolding that decreases product fidelity, generating a region susceptible to degradation/proteolysis, whilst the slowing of mRNA translation improves the folding, reducing susceptibility to fragmentation. Manipulation of mRNA translation and/or the target Fc-fusion transcript is, therefore, an approach that can be applied to potentially reduce fragmentation of clipping-prone Fc-fusion proteins.
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Affiliation(s)
- Tanya J. Knight
- School of Biosciences, Industrial Biotechnology CentreUniversity of KentCanterbury, KentUK
| | - Jane F. Povey
- School of Biosciences, Industrial Biotechnology CentreUniversity of KentCanterbury, KentUK
| | - Davide Vito
- School of Biosciences, Industrial Biotechnology CentreUniversity of KentCanterbury, KentUK
| | | | | | - C. Mark Smales
- School of Biosciences, Industrial Biotechnology CentreUniversity of KentCanterbury, KentUK,National Institute for Bioprocessing Research and TrainingBlackrock Co.DublinIreland
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43
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Zuiddam M, Shakiba B, Schiessel H. Multiplexing mechanical and translational cues on genes. Biophys J 2022; 121:4311-4324. [PMID: 36230003 PMCID: PMC9703045 DOI: 10.1016/j.bpj.2022.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 07/06/2022] [Accepted: 10/07/2022] [Indexed: 12/14/2022] Open
Abstract
The genetic code gives precise instructions on how to translate codons into amino acids. Due to the degeneracy of the genetic code-18 out of 20 amino acids are encoded for by more than one codon-more information can be stored in a basepair sequence. Indeed, various types of additional information have been discussed in the literature, e.g., the positioning of nucleosomes along eukaryotic genomes and the modulation of the translating efficiency in ribosomes to influence cotranslational protein folding. The purpose of this study is to show that it is indeed possible to carry more than one additional layer of information on top of a gene. In particular, we show how much translation efficiency and nucleosome positioning can be adjusted simultaneously without changing the encoded protein. We achieve this by mapping genes on weighted graphs that contain all synonymous genes, and then finding shortest paths through these graphs. This enables us, for example, to readjust the disrupted translational efficiency profile after a gene has been introduced from one organism (e.g., human) into another (e.g., yeast) without greatly changing the nucleosome landscape intrinsically encoded by the DNA molecule.
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Affiliation(s)
- Martijn Zuiddam
- Institute Lorentz for Theoretical Physics, Leiden University, Leiden, the Netherlands
| | - Bahareh Shakiba
- Institute Lorentz for Theoretical Physics, Leiden University, Leiden, the Netherlands
| | - Helmut Schiessel
- Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany.
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44
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Xie DF, Xie C, Ren T, Song BN, Zhou SD, He XJ. Plastid phylogenomic insights into relationships, divergence, and evolution of Apiales. PLANTA 2022; 256:117. [PMID: 36376499 DOI: 10.1007/s00425-022-04031-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 11/06/2022] [Indexed: 06/16/2023]
Abstract
Members of Apiales are monophyletic and radiated in the Late Cretaceous. Fruit morphologies are critical for Apiales evolution and negative selection and mutation pressure play important roles in environmental adaptation. Apiales include many foods, spices, medicinal, and ornamental plants, but the phylogenetic relationships, origin and divergence, and adaptive evolution remain poorly understood. Here, we reconstructed Apiales phylogeny based on 72 plastid genes from 280 species plastid genomes representing six of seven families of this order. Highly supported phylogenetic relationships were detected, which revealed that each family of Apiales is monophyletic and confirmed that Pennanticeae is a member of Apiales. Genera Centella and Dickinsia are members of Apiaceae, and the genus Hydrocotyle previously classified into Apiaceae is confirmed to belong to Araliaceae. Besides, coalescent phylogenetic analysis and gene trees cluster revealed ten genes that can be used for distinguishing species among families of Apiales. Molecular dating suggested that the Apiales originated during the mid-Cretaceous (109.51 Ma), with the families' radiation occurring in the Late Cretaceous. Apiaceae species exhibit higher differentiation compared to other families. Ancestral trait reconstruction suggested that fruit morphological evolution may be related to shifts in plant types (herbaceous or woody), which in turn is related to the distribution areas and species numbers. Codon bias and positive selection analyses suggest that negative selection and mutation pressure may play important roles in environmental adaptation of Apiales members. Our results improve the phylogenetic framework of Apiales and provide insights into the origin, divergence, and adaptive evolution of this order and its members.
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Affiliation(s)
- Deng-Feng Xie
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, People's Republic of China
| | - Chuan Xie
- Sichuan Academy of Forestry, Chengdu, 610081, Sichuan, People's Republic of China
| | - Ting Ren
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, People's Republic of China
| | - Bo-Ni Song
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, People's Republic of China
| | - Song-Dong Zhou
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, People's Republic of China
| | - Xing-Jin He
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, People's Republic of China.
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Li L, Peng S, Wang Z, Zhang T, Li H, Xiao Y, Li J, Liu Y, Yin H. Genome mining reveals abiotic stress resistance genes in plant genomes acquired from microbes via HGT. FRONTIERS IN PLANT SCIENCE 2022; 13:1025122. [PMID: 36407614 PMCID: PMC9667741 DOI: 10.3389/fpls.2022.1025122] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
Colonization by beneficial microbes can enhance plant tolerance to abiotic stresses. However, there are still many unknown fields regarding the beneficial plant-microbe interactions. In this study, we have assessed the amount or impact of horizontal gene transfer (HGT)-derived genes in plants that have potentials to confer abiotic stress resistance. We have identified a total of 235 gene entries in fourteen high-quality plant genomes belonging to phyla Chlorophyta and Streptophyta that confer resistance against a wide range of abiotic pressures acquired from microbes through independent HGTs. These genes encode proteins contributed to toxic metal resistance (e.g., ChrA, CopA, CorA), osmotic and drought stress resistance (e.g., Na+/proline symporter, potassium/proton antiporter), acid resistance (e.g., PcxA, ArcA, YhdG), heat and cold stress resistance (e.g., DnaJ, Hsp20, CspA), oxidative stress resistance (e.g., GST, PoxA, glutaredoxin), DNA damage resistance (e.g., Rad25, Rad51, UvrD), and organic pollutant resistance (e.g., CytP450, laccase, CbbY). Phylogenetic analyses have supported the HGT inferences as the plant lineages are all clustering closely with distant microbial lineages. Deep-learning-based protein structure prediction and analyses, in combination with expression assessment based on codon adaption index (CAI) further corroborated the functionality and expressivity of the HGT genes in plant genomes. A case-study applying fold comparison and molecular dynamics (MD) of the HGT-driven CytP450 gave a more detailed illustration on the resemblance and evolutionary linkage between the plant recipient and microbial donor sequences. Together, the microbe-originated HGT genes identified in plant genomes and their participation in abiotic pressures resistance indicate a more profound impact of HGT on the adaptive evolution of plants.
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Affiliation(s)
- Liangzhi Li
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
| | | | - Zhenhua Wang
- Zhangjiajie Tobacco Company of Hunan Province, Zhangjiajie, China
| | - Teng Zhang
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
- Hunan Urban and Rural Environmental Construction Co., Ltd, Changsha, China
| | - Hongguang Li
- Hunan Tobacco Science Institute, Changsha, China
| | - Yansong Xiao
- Chenzhou Tobacco Company of Hunan Province, Chenzhou, China
| | - Jingjun Li
- Chenzhou Tobacco Company of Hunan Province, Chenzhou, China
| | - Yongjun Liu
- Hunan Tobacco Science Institute, Changsha, China
| | - Huaqun Yin
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
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46
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Komarova ES, Dontsova OA, Pyshnyi DV, Kabilov MR, Sergiev PV. Flow-Seq Method: Features and Application in Bacterial Translation Studies. Acta Naturae 2022; 14:20-37. [PMID: 36694903 PMCID: PMC9844084 DOI: 10.32607/actanaturae.11820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/11/2022] [Indexed: 01/22/2023] Open
Abstract
The Flow-seq method is based on using reporter construct libraries, where a certain element regulating the gene expression of fluorescent reporter proteins is represented in many thousands of variants. Reporter construct libraries are introduced into cells, sorted according to their fluorescence level, and then subjected to next-generation sequencing. Therefore, it turns out to be possible to identify patterns that determine the expression efficiency, based on tens and hundreds of thousands of reporter constructs in one experiment. This method has become common in evaluating the efficiency of protein synthesis simultaneously by multiple mRNA variants. However, its potential is not confined to this area. In the presented review, a comparative analysis of the Flow-seq method and other alternative approaches used for translation efficiency evaluation of mRNA was carried out; the features of its application and the results obtained by Flow-seq were also considered.
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Affiliation(s)
- E. S. Komarova
- Institute of Functional Genomics, Lomonosov Moscow State University, Moscow, 119234 Russia
| | - O. A. Dontsova
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119234 Russia
- Skolkovo Institute of Science and Technology, Moscow, 121205 Russia
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234 Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117437 Russia
| | - D. V. Pyshnyi
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090 Russia
| | - M. R. Kabilov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090 Russia
| | - P. V. Sergiev
- Institute of Functional Genomics, Lomonosov Moscow State University, Moscow, 119234 Russia
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119234 Russia
- Skolkovo Institute of Science and Technology, Moscow, 121205 Russia
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234 Russia
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Characterization and Comparative Analysis of Chloroplast Genomes in Five Uncaria Species Endemic to China. Int J Mol Sci 2022; 23:ijms231911617. [PMID: 36232915 PMCID: PMC9569570 DOI: 10.3390/ijms231911617] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022] Open
Abstract
Uncaria, a perennial vine from the Rubiaceae family, is a typical Chinese traditional medicine. Currently, uncertainty exists over the Uncaria genus’ evolutionary relationships and germplasm identification. The complete chloroplast genomes of four Uncaria species mentioned in the Chinese Pharmacopoeia and Uncaria scandens (an easily confused counterfeit) were sequenced and annotated. The findings demonstrated that the whole chloroplast genome of Uncaria genus is 153,780–155,138 bp in full length, encoding a total of 128–131 genes, containing 83–86 protein-coding genes, eight rRNAs and 37 tRNAs. These regions, which include eleven highly variable loci and 31–49 SSRs, can be used to create significant molecular markers for the Uncaria genus. The phylogenetic tree was constructed according to protein-coding genes and the whole chloroplast genome sequences of five Uncaria species using four methods. The topology of the two phylogenetic trees showed no difference. The sequences of U. rhynchophylla and U. scandens are clustered in one group, while the U. hirsuta and U. macrophylla are clustered in another group. U. sessilifructus is clustered together with the above two small clades. New insights on the relationship were revealed via phylogenetic research in five Uncaria species. This study will provide a theoretical basis for identifying U. rhynchophylla and its counterfeits, as well as the species of the Uncaria genus. This research provides the initial chloroplast genome report of Uncaria, contributes to elucidating the chloroplast genome evolution of Uncaria in China.
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Jiang L, Zhang Q, Xiao S, Si F. Deep decoding of codon usage strategies and host adaption preferences of soybean mosaic virus. Int J Biol Macromol 2022; 222:803-817. [PMID: 36167098 DOI: 10.1016/j.ijbiomac.2022.09.179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/13/2022] [Accepted: 09/17/2022] [Indexed: 11/05/2022]
Abstract
Soybean mosaic virus (SMV) has threatened the global yield of Leguminosae crops, but the mechanism of its infection, spread, and evolution remains unknown. A systemic analysis of 107 SMV strains was performed to explore the genome-wide codon usage profile and the various factors influencing the codon usage patterns of SMV, which provides insight into its molecular evolution and elucidates its unknown host adaptation pattern. The overall nucleotide composition and correlation analysis revealed that the preferred synonymous codons mostly end with A/U. Clustering by RSCU value of each strain and phylogenetic tree analysis showed that the SMV isolates studied were divided into four clades, with a low overall extent of codon usage bias (CUB) in SMV. According to the ENC, PR2, neutrality plot, and correspondence analysis, natural selection of geographical diversity may play a critical role in the CUB. Higher adaptability was shown in Glycine with SMV and more pressure was received by clade III. These findings could not only provide valuable information about the overall codon usage pattern of the SMV genome, but could also aid in the clarification of the involved mechanisms that dominate the codon usage patterns and genetic evolution of the SMV genome.
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Affiliation(s)
- Li Jiang
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Qiang Zhang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Shimin Xiao
- Shanwei Marine Industry Institute, Shanwei Institute of Technology, Shanwei 516600, China.
| | - Fusheng Si
- Institute of Animal Science and Veterinary Medicine, Shanghai Academy of Agricultural Sciences, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Shanghai Engineering Research Center of Breeding Pig, Shanghai 201106, China.
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Sophiarani Y, Chakraborty S. Comparison of compositional constraints: Nuclear genome vs plasmid genome of Pseudomonas syringae pv. tomato DC3000. J Biosci 2022. [DOI: 10.1007/s12038-022-00296-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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50
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Karaşan O, Şen A, Tiryaki B, Cicek AE. A unifying network modeling approach for codon optimization. Bioinformatics 2022; 38:3935-3941. [PMID: 35762943 DOI: 10.1093/bioinformatics/btac428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 05/01/2022] [Accepted: 06/27/2022] [Indexed: 12/24/2022] Open
Abstract
MOTIVATION Synthesizing genes to be expressed in other organisms is an essential tool in biotechnology. While the many-to-one mapping from codons to amino acids makes the genetic code degenerate, codon usage in a particular organism is not random either. This bias in codon use may have a remarkable effect on the level of gene expression. A number of measures have been developed to quantify a given codon sequence's strength to express a gene in a host organism. Codon optimization aims to find a codon sequence that will optimize one or more of these measures. Efficient computational approaches are needed since the possible number of codon sequences grows exponentially as the number of amino acids increases. RESULTS We develop a unifying modeling approach for codon optimization. With our mathematical formulations based on graph/network representations of amino acid sequences, any combination of measures can be optimized in the same framework by finding a path satisfying additional limitations in an acyclic layered network. We tested our approach on bi-objectives commonly used in the literature, namely, Codon Pair Bias versus Codon Adaptation Index and Relative Codon Pair Bias versus Relative Codon Bias. However, our framework is general enough to handle any number of objectives concurrently with certain restrictions or preferences on the use of specific nucleotide sequences. We implemented our models using Python's Gurobi interface and showed the efficacy of our approach even for the largest proteins available. We also provided experimentation showing that highly expressed genes have objective values close to the optimized values in the bi-objective codon design problem. AVAILABILITY AND IMPLEMENTATION http://alpersen.bilkent.edu.tr/NetworkCodon.zip. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Oya Karaşan
- Department of Industrial Engineering, Bilkent University, Ankara 06800, Turkey
| | - Alper Şen
- Department of Industrial Engineering, Bilkent University, Ankara 06800, Turkey
| | - Banu Tiryaki
- Department of Industrial Engineering, Bilkent University, Ankara 06800, Turkey
| | - A Ercument Cicek
- Department of Computer Engineering, Bilkent University, Ankara 06800, Turkey
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