Comparative Genomics and Phylogenomic Analyses of Lysine Riboswitch Distributions in Bacteria
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Classification of Riboswitch Families Using Block Location-Based Feature Extraction
Adv Pharm Bull, 2020, 10(1), 97-105 doi: 10.15171/apb.2020.012 https://apb.tbzmed.ac.ir Research Article Classification of Riboswitch Families Using Block Location-Based Feature Extraction (BLBFE) Method Faegheh Golabi1,2 ID , Mousa Shamsi1* ID , Mohammad Hosein Sedaaghi3 ID , Abolfazl Barzegar2,4 ID , Mohammad Saeid Hejazi5,6* ID 1Genomic Signal Processing Laboratory, Faculty of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran. 2School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. 3Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran. 4Research Institute for Fundamental Sciences (RIFS), University of Tabriz, Tabriz, Iran. 5Molecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran. 6Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. Article info Abstract Article History: Purpose: Riboswitches are special non-coding sequences usually located in mRNAs’ Received: 25 May 2019 un-translated regions and regulate gene expression and consequently cellular function. Revised: 4 Sep. 2019 Furthermore, their interaction with antibiotics has been recently implicated. This raises more Accepted: 30 Sep. 2019 interest in development of bioinformatics tools for riboswitch studies. Herein, we describe the epublished: 11 Dec. 2019 development and employment of novel block location-based feature extraction (BLBFE) method for classification of riboswitches. Keywords: Methods: We have already developed and reported a sequential block finding (SBF) algorithm • Riboswitch which, without operating alignment methods, identifies family specific sequential blocks for • Non-coding RNA riboswitch families. Herein, we employed this algorithm for 7 riboswitch families including • Sequential blocks lysine, cobalamin, glycine, SAM-alpha, SAM-IV, cyclic-di-GMP-I and SAH. -
Food Waste Composting and Microbial Community Structure Profiling
processes Review Food Waste Composting and Microbial Community Structure Profiling Kishneth Palaniveloo 1,* , Muhammad Azri Amran 1, Nur Azeyanti Norhashim 1 , Nuradilla Mohamad-Fauzi 1,2, Fang Peng-Hui 3, Low Hui-Wen 3, Yap Kai-Lin 3, Looi Jiale 3, Melissa Goh Chian-Yee 3, Lai Jing-Yi 3, Baskaran Gunasekaran 3,* and Shariza Abdul Razak 4,* 1 Institute of Ocean and Earth Sciences, Institute for Advanced Studies Building, University of Malaya, Wilayah Persekutuan Kuala Lumpur 50603, Malaysia; [email protected] (M.A.A.); [email protected] (N.A.N.) 2 Institute of Biological Sciences, Faculty of Science, University of Malaya, Wilayah Persekutuan Kuala Lumpur 50603, Malaysia; [email protected] 3 Faculty of Applied Science, UCSI University (South Wing), Cheras, Wilayah Persekutuan Kuala Lumpur 56000, Malaysia; [email protected] (F.P.-H.); [email protected] (L.H.-W.); [email protected] (Y.K.-L.); [email protected] (L.J.); [email protected] (M.G.C.-Y.); [email protected] (L.J.-Y.) 4 Nutrition and Dietetics Program, School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia * Correspondence: [email protected] (K.P.); [email protected] (B.G.); [email protected] (S.A.R.); Tel.: +60-3-7967-4640 (K.P.); +60-16-323-4159 (B.G.); +60-19-964-4043 (S.A.R.) Received: 20 May 2020; Accepted: 16 June 2020; Published: 22 June 2020 Abstract: Over the last decade, food waste has been one of the major issues globally as it brings a negative impact on the environment and health. -
Comparative Genomics of Metabolic Capacities of Regulons Controlled by Cis-Regulatory RNA Motifs in Bacteria
UC San Diego UC San Diego Previously Published Works Title Comparative genomics of metabolic capacities of regulons controlled by cis-regulatory RNA motifs in bacteria Permalink https://escholarship.org/uc/item/9hf0n826 Journal BMC Genomics, 14(1) Authors Sun, EI Leyn, SA Kazanov, MD et al. Publication Date 2013-09-02 DOI 10.1186/1471-2164-14-597 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Sun et al. BMC Genomics 2013, 14:597 http://www.biomedcentral.com/1471-2164/14/597 RESEARCH ARTICLE Open Access Comparative genomics of metabolic capacities of regulons controlled by cis-regulatory RNA motifs in bacteria Eric I Sun1, Semen A Leyn2,3, Marat D Kazanov3, Milton H Saier Jr.1, Pavel S Novichkov4 and Dmitry A Rodionov2,3* Abstract Background: In silico comparative genomics approaches have been efficiently used for functional prediction and reconstruction of metabolic and regulatory networks. Riboswitches are metabolite-sensing structures often found in bacterial mRNA leaders controlling gene expression on transcriptional or translational levels. An increasing number of riboswitches and other cis-regulatory RNAs have been recently classified into numerous RNA families in the Rfam database. High conservation of these RNA motifs provides a unique advantage for their genomic identification and comparative analysis. Results: A comparative genomics approach implemented in the RegPredict tool was used for reconstruction and functional annotation of regulons controlled by RNAs from 43 Rfam families in diverse taxonomic groups of Bacteria. The inferred regulons include ~5200 cis-regulatory RNAs and more than 12000 target genes in 255 microbial genomes. All predicted RNA-regulated genes were classified into specific and overall functional categories. -
Developing a Riboswitch-Mediated Regulatory System for Metabolic Flux Control in Thermophilic Bacillus Methanolicus
International Journal of Molecular Sciences Article Developing a Riboswitch-Mediated Regulatory System for Metabolic Flux Control in Thermophilic Bacillus methanolicus Marta Irla , Sigrid Hakvåg and Trygve Brautaset * Department of Biotechnology and Food Sciences, Norwegian University of Science and Technology, 7034 Trondheim, Norway; [email protected] (M.I.); [email protected] (S.H.) * Correspondence: [email protected]; Tel.: +47-73593315 Abstract: Genome-wide transcriptomic data obtained in RNA-seq experiments can serve as a re- liable source for identification of novel regulatory elements such as riboswitches and promoters. Riboswitches are parts of the 50 untranslated region of mRNA molecules that can specifically bind various metabolites and control gene expression. For that reason, they have become an attractive tool for engineering biological systems, especially for the regulation of metabolic fluxes in industrial microorganisms. Promoters in the genomes of prokaryotes are located upstream of transcription start sites and their sequences are easily identifiable based on the primary transcriptome data. Bacillus methanolicus MGA3 is a candidate for use as an industrial workhorse in methanol-based biopro- cesses and its metabolism has been studied in systems biology approaches in recent years, including transcriptome characterization through RNA-seq. Here, we identify a putative lysine riboswitch in B. methanolicus, and test and characterize it. We also select and experimentally verify 10 putative B. methanolicus-derived promoters differing in their predicted strength and present their functionality in combination with the lysine riboswitch. We further explore the potential of a B. subtilis-derived purine riboswitch for regulation of gene expression in the thermophilic B. methanolicus, establishing a Citation: Irla, M.; Hakvåg, S.; novel tool for inducible gene expression in this bacterium. -
Structural and Mechanistic Studies of the THI Box and SMK Box Riboswitches
Structural and Mechanistic Studies of the THI Box and SMK Box Riboswitches Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Angela Mae Smith, M.S. Graduate Program in Microbiology The Ohio State University 2009 Dissertation Committee: Professor Tina Henkin, Advisor Professor Kurt Fredrick Professor Michael Ibba Professor Ross Dalbey ABSTRACT Organisms have evolved a variety of mechanisms for regulating gene expression. Expression of individual genes is carefully modulated during different stages of cell development and in response to changing environmental conditions. A number of regulatory mechanisms involve structural elements within messenger RNAs (mRNAs) that, in response to an environmental signal, undergo a conformational change that affects expression of a gene encoded on that mRNA. RNA elements of this type that operate independently of proteins or translating ribosomes are termed riboswitches. In this work, the THI box and SMK box riboswitches were investigated in order to gain insight into the structural basis for ligand recognition and the mechanism of regulation employed by each of these RNAs. Both riboswitches are predicted to regulate at the level of translation initiation using a mechanism in which the Shine-Dalgarno (SD) sequence is occluded in response to ligand binding. For the THI box riboswitch, the studies presented here demonstrated that 30S ribosomal subunit binding at the SD region decreases in the presence of thiamin pyrophosphate (TPP). Mutation of conserved residues in the ligand binding domain resulted in loss of TPP-dependent repression in vivo. Based on these experiments two classes of mutant phenotypes were identified. -
Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights Into the Origin and Distribution of Nitrogen Fixation Across Bacteria and Archaea
microorganisms Article Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights into the Origin and Distribution of Nitrogen Fixation across Bacteria and Archaea Amrit Koirala 1 and Volker S. Brözel 1,2,* 1 Department of Biology and Microbiology, South Dakota State University, Brookings, SD 57006, USA; [email protected] 2 Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0004, South Africa * Correspondence: [email protected]; Tel.: +1-605-688-6144 Abstract: The phylogeny of nitrogenase has only been analyzed using the structural proteins NifHDK. As nifHDKENB has been established as the minimum number of genes necessary for in silico predic- tion of diazotrophy, we present an updated phylogeny of diazotrophs using both structural (NifHDK) and cofactor assembly proteins (NifENB). Annotated Nif sequences were obtained from InterPro from 963 culture-derived genomes. Nif sequences were aligned individually and concatenated to form one NifHDKENB sequence. Phylogenies obtained using PhyML, FastTree, RapidNJ, and ASTRAL from individuals and concatenated protein sequences were compared and analyzed. All six genes were found across the Actinobacteria, Aquificae, Bacteroidetes, Chlorobi, Chloroflexi, Cyanobacteria, Deferribacteres, Firmicutes, Fusobacteria, Nitrospira, Proteobacteria, PVC group, and Spirochaetes, as well as the Euryarchaeota. The phylogenies of individual Nif proteins were very similar to the overall NifHDKENB phylogeny, indicating the assembly proteins have evolved together. Our higher resolution database upheld the three cluster phylogeny, but revealed undocu- Citation: Koirala, A.; Brözel, V.S. mented horizontal gene transfers across phyla. Only 48% of the 325 genera containing all six nif genes Phylogeny of Nitrogenase Structural and Assembly Components Reveals are currently supported by biochemical evidence of diazotrophy. -
From Genotype to Phenotype: Inferring Relationships Between Microbial Traits and Genomic Components
From genotype to phenotype: inferring relationships between microbial traits and genomic components Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakult¨at der Heinrich-Heine-Universit¨atD¨usseldorf vorgelegt von Aaron Weimann aus Oberhausen D¨usseldorf,29.08.16 aus dem Institut f¨urInformatik der Heinrich-Heine-Universit¨atD¨usseldorf Gedruckt mit der Genehmigung der Mathemathisch-Naturwissenschaftlichen Fakult¨atder Heinrich-Heine-Universit¨atD¨usseldorf Referent: Prof. Dr. Alice C. McHardy Koreferent: Prof. Dr. Martin J. Lercher Tag der m¨undlichen Pr¨ufung: 24.02.17 Selbststandigkeitserkl¨ arung¨ Hiermit erkl¨areich, dass ich die vorliegende Dissertation eigenst¨andigund ohne fremde Hilfe angefertig habe. Arbeiten Dritter wurden entsprechend zitiert. Diese Dissertation wurde bisher in dieser oder ¨ahnlicher Form noch bei keiner anderen Institution eingereicht. Ich habe bisher keine erfolglosen Promotionsversuche un- ternommen. D¨usseldorf,den . ... ... ... (Aaron Weimann) Statement of authorship I hereby certify that this dissertation is the result of my own work. No other person's work has been used without due acknowledgement. This dissertation has not been submitted in the same or similar form to other institutions. I have not previously failed a doctoral examination procedure. Summary Bacteria live in almost any imaginable environment, from the most extreme envi- ronments (e.g. in hydrothermal vents) to the bovine and human gastrointestinal tract. By adapting to such diverse environments, they have developed a large arsenal of enzymes involved in a wide variety of biochemical reactions. While some such enzymes support our digestion or can be used for the optimization of biotechnological processes, others may be harmful { e.g. mediating the roles of bacteria in human diseases. -
Functional Analysis of Multiple Nifb Genes of Paenibacillus Strains in Synthesis of Mo-, Fe- and V- Nitrogenase
Functional Analysis of Multiple nifB Genes of Paenibacillus Strains in Synthesis of Mo-, Fe- and V- Nitrogenase Qin Li China Agricultural University Haowei Zhang China Agricultural University Liqun Zhang China Agricultural University San-Feng Chen ( [email protected] ) China Agricultural University https://orcid.org/0000-0003-2956-9025 Research Keywords: Paenibacillus, nifB gene, Mo-nitrogenase, alternative nitrogenases Posted Date: April 22nd, 2021 DOI: https://doi.org/10.21203/rs.3.rs-444251/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at Microbial Cell Factories on July 19th, 2021. See the published version at https://doi.org/10.1186/s12934-021-01629-9. Page 1/20 Abstract Background: Biological nitrogen xation is catalyzed by Mo-, V- and Fe-nitrogenases that are encoded by nif, vnf and anf genes, respectively. NifB is the key protein in synthesis of the cofactors of all nitrogenases. Most diazotrophic Paenibacillus strains have only one nifB gene located in a compact nif gene cluster (nifBHDKENX(orf1)hesAnifV). But some Paenibacillus strains have multiple nifB genes and their functions are not known. Results: We have analyzed the genomes of the 116 diazotrophic Paenibacillus strains and found that some Paenibacillus strains have 2-4 nifB genes. Phylogeny analysis shows that all nifB genes in Paenibacillus fall into 4 subclasses: the nifB1 being the rst gene within the compact nif gene cluster, the nifB2 being adjacent to anf or vnf genes, the other nifB3 and nifB4 being scattered on genomes. -
RIBOSWITCHES: CLASSIFICATION, FUNCTION and INSILICO APPROACH
Mehta Neel B. et. al. / International Journal of Pharma Sciences and Research (IJPSR) Vol.1(9), 2010, 409-420 RIBOSWITCHES: CLASSIFICATION, FUNCTION and INSILICO APPROACH. MEHTA NEEL B.1* and PRASHANNA BALAJI 1 1 Final year B.Tech student, Department of Bioinformatics, Maulana Azad National Institute of Technology – Bhopal (M.A.N.I.T.), Madhya Pradesh, India ABSTRACT: Extensive study on RNA in recent times has resulted into discovering a type of genetic regulatory elements which are found in number of organism and undergoes different folding and functional process leading to repression of gene expression, termed as Riboswitches. Riboswitches are present in three kingdoms of life and have been identified in the genomes of plants, archaea and fungi. They are highly structured cis-acting elements located in the 5’-UnTranslated Region (UTR) of mRNA in the organism and the most important characteristic of riboswitches is that they fold into complex three dimensional structures to serve as precise receptors for their target molecules, organized around helical junctions with varying degrees of complexity. The combinations of computational and molecular approaches have significantly led to the identification of an increasing number of existing and novel riboswitches. In this paper we have classified all main types of riboswitches according to their functional characteristics and various tools (software) are mentioned to identify them through in silico approach. KEYWORDS: Cis-acting elements, Gene expression, Riboswitches and UnTranslated Region (UTR) INTRODUCTION: Precise genetic control is an essential feature of living systems, as cells must respond to a multitude of biochemical signals and environmental cues by varying genetic expression patterns. -
Using Deep Learning to Classify Riboswitches with 99
fbioe-08-00808 July 10, 2020 Time: 18:46 # 1 ORIGINAL RESEARCH published: 14 July 2020 doi: 10.3389/fbioe.2020.00808 Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy Keshav Aditya R. Premkumar1†, Ramit Bharanikumar2† and Ashok Palaniappan3* 1 MS Program in Computer Science, Department of Computer Science, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, United States, 2 MS in Bioinformatics, Georgia Institute of Technology, Atlanta, GA, United States, 3 Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed University, Thanjavur, India Riboswitches are cis-regulatory genetic elements that use an aptamer to control gene expression. Specificity to cognate ligand and diversity of such ligands have expanded the functional repertoire of riboswitches to mediate mounting apt responses to sudden metabolic demands and signal changes in environmental conditions. Given their critical role in microbial life, riboswitch characterisation remains a challenging Edited by: computational problem. Here we have addressed the issue with advanced deep Yusuf Akhter, learning frameworks, namely convolutional neural networks (CNN), and bidirectional Babasaheb Bhimrao Ambedkar University, India recurrent neural networks (RNN) with Long Short-Term Memory (LSTM). Using a Reviewed by: comprehensive dataset of 32 ligand classes and a stratified train-validate-test approach, Ahsan Z. Rizvi, we demonstrated the accurate performance of both the deep learning models (CNN and Mewar University, India RNN) relative to conventional hyperparameter-optimized machine learning classifiers Joohyun Kim, Vanderbilt University Medical Center, on all key performance metrics, including the ROC curve analysis. In particular, the United States bidirectional LSTM RNN emerged as the best-performing learning method for identifying *Correspondence: the ligand-specificity of riboswitches with an accuracy >0.99 and macro-averaged Ashok Palaniappan [email protected] F-score of 0.96. -
Identification and Classification of Known and Putative Antimicrobial Compounds Produced by a Wide Variety of Bacillales Species Xin Zhao1,2 and Oscar P
Zhao and Kuipers BMC Genomics (2016) 17:882 DOI 10.1186/s12864-016-3224-y RESEARCH ARTICLE Open Access Identification and classification of known and putative antimicrobial compounds produced by a wide variety of Bacillales species Xin Zhao1,2 and Oscar P. Kuipers1* Abstract Background: Gram-positive bacteria of the Bacillales are important producers of antimicrobial compounds that might be utilized for medical, food or agricultural applications. Thanks to the wide availability of whole genome sequence data and the development of specific genome mining tools, novel antimicrobial compounds, either ribosomally- or non-ribosomally produced, of various Bacillales species can be predicted and classified. Here, we provide a classification scheme of known and putative antimicrobial compounds in the specific context of Bacillales species. Results: We identify and describe known and putative bacteriocins, non-ribosomally synthesized peptides (NRPs), polyketides (PKs) and other antimicrobials from 328 whole-genome sequenced strains of 57 species of Bacillales by using web based genome-mining prediction tools. We provide a classification scheme for these bacteriocins, update the findings of NRPs and PKs and investigate their characteristics and suitability for biocontrol by describing per class their genetic organization and structure. Moreover, we highlight the potential of several known and novel antimicrobials from various species of Bacillales. Conclusions: Our extended classification of antimicrobial compounds demonstrates that Bacillales provide a rich source of novel antimicrobials that can now readily be tapped experimentally, since many new gene clusters are identified. Keywords: Antimicrobials, Bacillales, Bacillus, Genome-mining, Lanthipeptides, Sactipeptides, Thiopeptides, NRPs, PKs Background (bacteriocins) [4], as well as non-ribosomally synthesized Most of the species of the genus Bacillus and related peptides (NRPs) and polyketides (PKs) [5]. -
Genome Diversity of Spore-Forming Firmicutes MICHAEL Y
Genome Diversity of Spore-Forming Firmicutes MICHAEL Y. GALPERIN National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894 ABSTRACT Formation of heat-resistant endospores is a specific Vibrio subtilis (and also Vibrio bacillus), Ferdinand Cohn property of the members of the phylum Firmicutes (low-G+C assigned it to the genus Bacillus and family Bacillaceae, Gram-positive bacteria). It is found in representatives of four specifically noting the existence of heat-sensitive vegeta- different classes of Firmicutes, Bacilli, Clostridia, Erysipelotrichia, tive cells and heat-resistant endospores (see reference 1). and Negativicutes, which all encode similar sets of core sporulation fi proteins. Each of these classes also includes non-spore-forming Soon after that, Robert Koch identi ed Bacillus anthracis organisms that sometimes belong to the same genus or even as the causative agent of anthrax in cattle and the species as their spore-forming relatives. This chapter reviews the endospores as a means of the propagation of this orga- diversity of the members of phylum Firmicutes, its current taxon- nism among its hosts. In subsequent studies, the ability to omy, and the status of genome-sequencing projects for various form endospores, the specific purple staining by crystal subgroups within the phylum. It also discusses the evolution of the violet-iodine (Gram-positive staining, reflecting the pres- Firmicutes from their apparently spore-forming common ancestor ence of a thick peptidoglycan layer and the absence of and the independent loss of sporulation genes in several different lineages (staphylococci, streptococci, listeria, lactobacilli, an outer membrane), and the relatively low (typically ruminococci) in the course of their adaptation to the saprophytic less than 50%) molar fraction of guanine and cytosine lifestyle in a nutrient-rich environment.