1
|
Bao P, Wang T, Liu X, Xing S, Ruan H, Ma H, Tao Y, Zhan Q, Belmonte-Reche E, Qin L, Han Z, Mao M, Li M, Lu ZJ. Peak analysis of cell-free RNA finds recurrently protected narrow regions with clinical potential. Genome Biol 2025; 26:119. [PMID: 40340952 PMCID: PMC12060323 DOI: 10.1186/s13059-025-03590-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 04/25/2025] [Indexed: 05/10/2025] Open
Abstract
BACKGROUND Cell-free RNAs (cfRNAs) can be detected in biofluids and have emerged as valuable disease biomarkers. Accurate identification of the fragmented cfRNA signals, especially those originating from pathological cells, is crucial for understanding their biological functions and clinical value. However, many challenges still need to be addressed for their application, including developing specific analysis methods and translating cfRNA fragments with biological support into clinical applications. RESULTS We present cfPeak, a novel method combining statistics and machine learning models to detect the fragmented cfRNA signals effectively. When test in real and artificial cfRNA sequencing (cfRNA-seq) data, cfPeak shows an improved performance compared with other applicable methods. We reveal that narrow cfRNA peaks preferentially overlap with protein binding sites, vesicle-sorting sites, structural sites, and novel small non-coding RNAs (sncRNAs). When applied in clinical cohorts, cfPeak identified cfRNA peaks in patients' plasma that enable cancer detection and are informative of cancer types and metastasis. CONCLUSIONS Our study fills the gap in the current small cfRNA-seq analysis at fragment-scale and builds a bridge to the scientific discovery in cfRNA fragmentomics. We demonstrate the significance of finding low abundant tissue-derived signals in small cfRNA and prove the feasibility for application in liquid biopsy.
Collapse
Affiliation(s)
- Pengfei Bao
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, China
- Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Tsinghua University, Beijing, China
| | - Taiwei Wang
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
- National Clinical Research Center for Dermatologic and Immunologic Diseases (Ministry of Science & Technology), MOE Key Laboratory of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, 100730, China
- Academy for Advanced Interdisciplinary Studies (AAIS)and, Sciences Joint Graduate Program (PTN) , Peking University, Beijing, China
| | - Xiaofan Liu
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, China
| | - Shaozhen Xing
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, China
| | - Hanjin Ruan
- Department of Oral and Maxillofacial & Head and Neck Oncology, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Hongli Ma
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Yuhuan Tao
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, China
| | - Qing Zhan
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, China
| | - Efres Belmonte-Reche
- Centre for Genomics and Oncological Research (GENYO), Avenida de La Ilustración 114, Granada, 18016, Spain
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria Ibs.GRANADA, Hospital Virgen de Las Nieves, Granada, Spain
| | - Lizheng Qin
- Department of Oral and Maxillofacial & Head and Neck Oncology, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Zhengxue Han
- Department of Oral and Maxillofacial & Head and Neck Oncology, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Minghui Mao
- Department of Oral and Maxillofacial & Head and Neck Oncology, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
| | - Mengtao Li
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
- National Clinical Research Center for Dermatologic and Immunologic Diseases (Ministry of Science & Technology), MOE Key Laboratory of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, 100730, China.
| | - Zhi John Lu
- MOE Key Laboratory of Bioinformatics, State Key Lab of Green Biomanufacturing, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, China.
- Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Tsinghua University, Beijing, China.
- Academy for Advanced Interdisciplinary Studies (AAIS)and, Sciences Joint Graduate Program (PTN) , Peking University, Beijing, China.
- The Center for Regeneration Aging and Chronic Diseases, School of Basic Medical Sciences, Tsinghua University, Beijing, China.
| |
Collapse
|
2
|
Milenkovic I, Cruciani S, Llovera L, Lucas MC, Medina R, Pauli C, Heid D, Muley T, Schneider MA, Klotz LV, Allgäuer M, Lattuca R, Lafontaine DLJ, Müller-Tidow C, Novoa EM. Epitranscriptomic rRNA fingerprinting reveals tissue-of-origin and tumor-specific signatures. Mol Cell 2025; 85:177-190.e7. [PMID: 39662470 DOI: 10.1016/j.molcel.2024.11.014] [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: 04/23/2024] [Revised: 09/13/2024] [Accepted: 11/08/2024] [Indexed: 12/13/2024]
Abstract
Mammalian ribosomal RNA (rRNA) molecules are highly abundant RNAs, decorated with over 220 rRNA modifications. Previous works have shown that some rRNA modification types can be dynamically regulated; however, how and when the mammalian rRNA modification landscape is remodeled remains largely unexplored. Here, we employ direct RNA sequencing to chart the human and mouse rRNA epitranscriptome across tissues, developmental stages, cell types, and disease. Our analyses reveal multiple rRNA sites that are differentially modified in a tissue- and/or developmental stage-specific manner, including previously unannotated modified sites. We demonstrate that rRNA modification patterns can be used for tissue and cell-type identification, which we hereby term "epitranscriptomic fingerprinting." We then explore rRNA modification patterns in normal-tumor matched samples from lung cancer patients, finding that epitranscriptomic fingerprinting accurately classifies clinical samples into normal and tumor groups from only 250 reads per sample, demonstrating the potential of rRNA modifications as diagnostic biomarkers.
Collapse
Affiliation(s)
- Ivan Milenkovic
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Sonia Cruciani
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Laia Llovera
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Morghan C Lucas
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Rebeca Medina
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Cornelius Pauli
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg 69120, Germany; Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory (EMBL), Heidelberg 69117, Germany; Division of Mechanisms Regulation Gene Expression, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Daniel Heid
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg 69120, Germany; Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory (EMBL), Heidelberg 69117, Germany; Division of Mechanisms Regulation Gene Expression, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Thomas Muley
- Translational Lung Research Center (TLRC-H), German Center for Lung Research (DZL), Heidelberg 69120, Germany; Translational Research Unit and Lung Biobank Heidelberg, Thoraxklinik at Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Marc A Schneider
- Translational Lung Research Center (TLRC-H), German Center for Lung Research (DZL), Heidelberg 69120, Germany; Translational Research Unit and Lung Biobank Heidelberg, Thoraxklinik at Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Laura V Klotz
- Department of Surgery, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Allgäuer
- Institute of Pathology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Ruben Lattuca
- RNA Molecular Biology, Fonds de la Recherche Scientifique (F.R.S./FNRS), Université libre de Bruxelles (ULB), Biopark campus, 6041 Gosselies, Belgium
| | - Denis L J Lafontaine
- RNA Molecular Biology, Fonds de la Recherche Scientifique (F.R.S./FNRS), Université libre de Bruxelles (ULB), Biopark campus, 6041 Gosselies, Belgium
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg 69120, Germany; Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory (EMBL), Heidelberg 69117, Germany
| | - Eva Maria Novoa
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; ICREA, Passeig Lluís Companys 23, Barcelona 08010, Spain.
| |
Collapse
|
3
|
Li Y, Wu S, Ye K. Landscape of RNA pseudouridylation in archaeon Sulfolobus islandicus. Nucleic Acids Res 2024; 52:4644-4658. [PMID: 38375885 PMCID: PMC11077068 DOI: 10.1093/nar/gkae096] [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: 08/03/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/21/2024] Open
Abstract
Pseudouridine, one of the most abundant RNA modifications, is synthesized by stand-alone or RNA-guided pseudouridine synthases. Here, we comprehensively mapped pseudouridines in rRNAs, tRNAs and small RNAs in the archaeon Sulfolobus islandicus and identified Cbf5-associated H/ACA RNAs. Through genetic deletion and in vitro modification assays, we determined the responsible enzymes for these modifications. The pseudouridylation machinery in S. islandicus consists of the stand-alone enzymes aPus7 and aPus10, and six H/ACA RNA-guided enzymes that account for all identified pseudouridines. These H/ACA RNAs guide the modification of all eleven sites in rRNAs, two sites in tRNAs, and two sites in CRISPR RNAs. One H/ACA RNA shows exceptional versatility by targeting eight different sites. aPus7 and aPus10 are responsible for modifying positions 13, 54 and 55 in tRNAs. We identified four atypical H/ACA RNAs that lack the lower stem and the ACA motif and confirmed their function both in vivo and in vitro. Intriguingly, atypical H/ACA RNAs can be modified by Cbf5 in a guide-independent manner. Our data provide the first global view of pseudouridylation in archaea and reveal unexpected structures, substrates, and activities of archaeal H/ACA RNPs.
Collapse
MESH Headings
- Pseudouridine/metabolism
- Sulfolobus/genetics
- Sulfolobus/metabolism
- RNA, Transfer/metabolism
- RNA, Transfer/genetics
- RNA, Archaeal/genetics
- RNA, Archaeal/metabolism
- RNA, Archaeal/chemistry
- RNA, Ribosomal/metabolism
- RNA, Ribosomal/genetics
- Archaeal Proteins/metabolism
- Archaeal Proteins/genetics
- RNA Processing, Post-Transcriptional
- RNA, Guide, CRISPR-Cas Systems/genetics
- RNA, Guide, CRISPR-Cas Systems/metabolism
- Intramolecular Transferases/genetics
- Intramolecular Transferases/metabolism
Collapse
Affiliation(s)
- Yuqian Li
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Songlin Wu
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Keqiong Ye
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
4
|
Horai Y, Shimizu T, Umeda M, Nishihata SY, Nakamura H, Kawakami A. Current Views on Pathophysiology and Potential Therapeutic Targets in Sjögren's Syndrome: A Review from the Perspective of Viral Infections, Toll-like Receptors, and Long-Noncoding RNAs. J Clin Med 2023; 12:5873. [PMID: 37762814 PMCID: PMC10531551 DOI: 10.3390/jcm12185873] [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: 08/19/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Sjögren's syndrome (SS) is a rheumatic disease characterized by sicca and extraglandular symptoms, such as interstitial lung disease and renal tubular acidosis. SS potentially affects the prognosis of patients, especially in cases of complicated extraglandular symptoms; however, only symptomatic therapies against xerophthalmia and xerostomia are currently included in the practice guidelines as recommended therapies for SS. Considering that SS is presumed to be a multifactorial entity caused by genetic and environmental factors, a multidisciplinary approach is necessary to clarify the whole picture of its pathogenesis and to develop disease-specific therapies for SS. This review discusses past achievements and future prospects for pursuing the pathophysiology and therapeutic targets for SS, especially from the perspectives of viral infections, toll-like receptors (TLRs), long-noncoding RNAs (lncRNAs), and related signals. Based on the emerging roles of viral infections, TLRs, long-noncoding RNAs and related signals, antiviral therapy, hydroxychloroquine, and vitamin D may lower the risk of or mitigate SS. Janus-kinase (JAK) inhibitors are also potential novel therapeutic options for several rheumatic diseases involving the JAK-signal transducer and activator of transcription pathways, which are yet to be ascertained in a randomized controlled study targeting SS.
Collapse
Affiliation(s)
- Yoshiro Horai
- Department of Rheumatology, Sasebo City General Hospital, Sasebo 857-8511, Japan
- Department of Immunology and Rheumatology, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8523, Japan; (T.S.); (M.U.); (A.K.)
| | - Toshimasa Shimizu
- Department of Immunology and Rheumatology, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8523, Japan; (T.S.); (M.U.); (A.K.)
- Clinical Research Center, Nagasaki University Hospital, Nagasaki 852-8501, Japan
| | - Masataka Umeda
- Department of Immunology and Rheumatology, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8523, Japan; (T.S.); (M.U.); (A.K.)
| | - Shin-Ya Nishihata
- Department of Rheumatology, National Hospital Organization Ureshino Medical Center, Ureshino 843-0393, Japan;
| | - Hideki Nakamura
- Division of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan;
| | - Atsushi Kawakami
- Department of Immunology and Rheumatology, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8523, Japan; (T.S.); (M.U.); (A.K.)
| |
Collapse
|
5
|
Web Services for RNA-RNA Interaction Prediction. Methods Mol Biol 2023; 2586:175-195. [PMID: 36705905 DOI: 10.1007/978-1-0716-2768-6_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Non-coding RNAs have various biological functions such as translational regulation, and RNA-RNA interactions play essential roles in the mechanisms of action of these RNAs. Therefore, RNA-RNA interaction prediction is an important problem in bioinformatics, and many tools have been developed for the computational prediction of RNA-RNA interactions. In addition to the development of novel algorithms with high accuracy, the development and maintenance of web services is essential for enhancing usability by experimental biologists. In this review, we survey web services for RNA-RNA interaction predictions and introduce how to use primary web services. We present various prediction tools, including general interaction prediction tools, prediction tools for specific RNA classes, and RNA-RNA interaction-based RNA design tools. Additionally, we discuss the future perspectives of the development of RNA-RNA interaction prediction tools and the sustainability of web services.
Collapse
|
6
|
Lau B, Beine-Golovchuk O, Kornprobst M, Cheng J, Kressler D, Jády B, Kiss T, Beckmann R, Hurt E. Cms1 coordinates stepwise local 90S pre-ribosome assembly with timely snR83 release. Cell Rep 2022; 41:111684. [PMID: 36417864 PMCID: PMC9715914 DOI: 10.1016/j.celrep.2022.111684] [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: 03/24/2022] [Revised: 08/01/2022] [Accepted: 10/27/2022] [Indexed: 11/23/2022] Open
Abstract
Ribosome synthesis begins in the nucleolus with 90S pre-ribosome construction, but little is known about how the many different snoRNAs that modify the pre-rRNA are timely guided to their target sites. Here, we report a role for Cms1 in such a process. Initially, we discovered CMS1 as a null suppressor of a nop14 mutant impaired in Rrp12-Enp1 factor recruitment to the 90S. Further investigations detected Cms1 at the 18S rRNA 3' major domain of an early 90S that carried H/ACA snR83, which is known to guide pseudouridylation at two target sites within the same subdomain. Cms1 co-precipitates with many 90S factors, but Rrp12-Enp1 encircling the 3' major domain in the mature 90S is decreased. We suggest that Cms1 associates with the 3' major domain during early 90S biogenesis to restrict premature Rrp12-Enp1 binding but allows snR83 to timely perform its modification role before the next 90S assembly steps coupled with Cms1 release take place.
Collapse
Affiliation(s)
- Benjamin Lau
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
| | - Olga Beine-Golovchuk
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
| | - Markus Kornprobst
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
| | - Jingdong Cheng
- Institutes of Biomedical Sciences, Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Fudan University, Dong’an Road 131, Shanghai 200032, China
| | - Dieter Kressler
- Department of Biology, University of Fribourg, Chemin du Musée 10, 1700 Fribourg, Switzerland
| | - Beáta Jády
- Laboratoire de Biologie Moléculaire Eucaryote du CNRS, Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cedex 9, France
| | - Tamás Kiss
- Laboratoire de Biologie Moléculaire Eucaryote du CNRS, Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cedex 9, France
| | - Roland Beckmann
- Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen-Straße 25, 81377 Munich, Germany,Corresponding author
| | - Ed Hurt
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany,Corresponding author
| |
Collapse
|
7
|
Zacchini F, Venturi G, De Sanctis V, Bertorelli R, Ceccarelli C, Santini D, Taffurelli M, Penzo M, Treré D, Inga A, Dassi E, Montanaro L. Human dyskerin binds to cytoplasmic H/ACA-box-containing transcripts affecting nuclear hormone receptor dependence. Genome Biol 2022; 23:177. [PMID: 35996163 PMCID: PMC9394076 DOI: 10.1186/s13059-022-02746-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 08/11/2022] [Indexed: 12/05/2022] Open
Abstract
Background Dyskerin is a nuclear protein involved in H/ACA box snoRNA-guided uridine modification of RNA. In humans, its defective function is associated with cancer development and induces specific post-transcriptional alterations of gene expression. In this study, we seek to unbiasedly identify mRNAs regulated by dyskerin in human breast cancer-derived cells. Results We find that dyskerin depletion affects the expression and the association with polysomes of selected mRNA isoforms characterized by the retention of H/ACA box snoRNA-containing introns. These snoRNA retaining transcripts (snoRTs) are bound by dyskerin in the cytoplasm in the form of shorter 3′ snoRT fragments. We then characterize the whole cytoplasmic dyskerin RNA interactome and find both H/ACA box snoRTs and protein-coding transcripts which may be targeted by the snoRTs’ guide properties. Since a fraction of these protein-coding transcripts is involved in the nuclear hormone receptor binding, we test to see if this specific activity is affected by dyskerin. Obtained results indicate that dyskerin dysregulation may alter the dependence on nuclear hormone receptor ligands in breast cancer cells. These results are paralleled by consistent observations on the outcome of primary breast cancer patients stratified according to their tumor hormonal status. Accordingly, experiments in nude mice show that the reduction of dyskerin levels in estrogen-dependent cells favors xenograft development in the absence of estrogen supplementation. Conclusions Our work suggests a cytoplasmic function for dyskerin which could affect mRNA post-transcriptional networks relevant for nuclear hormone receptor functions. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02746-3.
Collapse
Affiliation(s)
- Federico Zacchini
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy.,Centro di Ricerca Biomedica Applicata - CRBA, Università̀ di Bologna, Policlinico di Sant'Orsola, I-40138, Bologna, Italy
| | - Giulia Venturi
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy.,Centro di Ricerca Biomedica Applicata - CRBA, Università̀ di Bologna, Policlinico di Sant'Orsola, I-40138, Bologna, Italy
| | - Veronica De Sanctis
- Dipartimento di Biologia Cellulare, Computazionale e Integrata (CIBIO), Università di Trento, I-38123, Trento, Italy
| | - Roberto Bertorelli
- Dipartimento di Biologia Cellulare, Computazionale e Integrata (CIBIO), Università di Trento, I-38123, Trento, Italy
| | - Claudio Ceccarelli
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy.,Unità Operativa di Anatomia e Istologia Patologica, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138, Bologna, Italy
| | - Donatella Santini
- Unità Operativa di Anatomia e Istologia Patologica, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138, Bologna, Italy
| | - Mario Taffurelli
- Unità Operativa di Chirurgia Senologica, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138, Bologna, Italy.,Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy
| | - Marianna Penzo
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy.,Centro di Ricerca Biomedica Applicata - CRBA, Università̀ di Bologna, Policlinico di Sant'Orsola, I-40138, Bologna, Italy
| | - Davide Treré
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy.,Departmental Program in Laboratory Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138, Bologna, Italy
| | - Alberto Inga
- Dipartimento di Biologia Cellulare, Computazionale e Integrata (CIBIO), Università di Trento, I-38123, Trento, Italy
| | - Erik Dassi
- Dipartimento di Biologia Cellulare, Computazionale e Integrata (CIBIO), Università di Trento, I-38123, Trento, Italy
| | - Lorenzo Montanaro
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum - Università di Bologna, I-40138, Bologna, Italy. .,Departmental Program in Laboratory Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138, Bologna, Italy.
| |
Collapse
|
8
|
Bailey AD, Talkish J, Ding H, Igel H, Duran A, Mantripragada S, Paten B, Ares M. Concerted modification of nucleotides at functional centers of the ribosome revealed by single-molecule RNA modification profiling. eLife 2022; 11:e76562. [PMID: 35384842 PMCID: PMC9045821 DOI: 10.7554/elife.76562] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/05/2022] [Indexed: 12/02/2022] Open
Abstract
Nucleotides in RNA and DNA are chemically modified by numerous enzymes that alter their function. Eukaryotic ribosomal RNA (rRNA) is modified at more than 100 locations, particularly at highly conserved and functionally important nucleotides. During ribosome biogenesis, modifications are added at various stages of assembly. The existence of differently modified classes of ribosomes in normal cells is unknown because no method exists to simultaneously evaluate the modification status at all sites within a single rRNA molecule. Using a combination of yeast genetics and nanopore direct RNA sequencing, we developed a reliable method to track the modification status of single rRNA molecules at 37 sites in 18 S rRNA and 73 sites in 25 S rRNA. We use our method to characterize patterns of modification heterogeneity and identify concerted modification of nucleotides found near functional centers of the ribosome. Distinct, undermodified subpopulations of rRNAs accumulate upon loss of Dbp3 or Prp43 RNA helicases, suggesting overlapping roles in ribosome biogenesis. Modification profiles are surprisingly resistant to change in response to many genetic and acute environmental conditions that affect translation, ribosome biogenesis, and pre-mRNA splicing. The ability to capture single-molecule RNA modification profiles provides new insights into the roles of nucleotide modifications in RNA function.
Collapse
Affiliation(s)
- Andrew D Bailey
- Department of Biomolecular Engineering and Santa Cruz Genomics Institute, University of California, Santa CruzSanta CruzUnited States
| | - Jason Talkish
- RNA Center and Department of Molecular, Cell & Developmental Biology, University of California, Santa CruzSanta CruzUnited States
| | - Hongxu Ding
- Department of Biomolecular Engineering and Santa Cruz Genomics Institute, University of California, Santa CruzSanta CruzUnited States
- Department of Pharmacy Practice & Science, College of Pharmacy, University of ArizonaTucsonUnited States
| | - Haller Igel
- RNA Center and Department of Molecular, Cell & Developmental Biology, University of California, Santa CruzSanta CruzUnited States
| | | | | | - Benedict Paten
- Department of Biomolecular Engineering and Santa Cruz Genomics Institute, University of California, Santa CruzSanta CruzUnited States
| | - Manuel Ares
- RNA Center and Department of Molecular, Cell & Developmental Biology, University of California, Santa CruzSanta CruzUnited States
| |
Collapse
|
9
|
Ismail S, Flemming D, Thoms M, Gomes-Filho JV, Randau L, Beckmann R, Hurt E. Emergence of the primordial pre-60S from the 90S pre-ribosome. Cell Rep 2022; 39:110640. [PMID: 35385737 PMCID: PMC8994135 DOI: 10.1016/j.celrep.2022.110640] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 02/01/2022] [Accepted: 03/16/2022] [Indexed: 01/03/2023] Open
Abstract
Synthesis of ribosomes begins in the nucleolus with formation of the 90S pre-ribosome, during which the pre-40S and pre-60S pathways diverge by pre-rRNA cleavage. However, it remains unclear how, after this uncoupling, the earliest pre-60S subunit continues to develop. Here, we reveal a large-subunit intermediate at the beginning of its construction when still linked to the 90S, the precursor to the 40S subunit. This primordial pre-60S is characterized by the SPOUT domain methyltransferase Upa1-Upa2, large α-solenoid scaffolds, Mak5, one of several RNA helicases, and two small nucleolar RNA (snoRNAs), C/D box snR190 and H/ACA box snR37. The emerging pre-60S does not efficiently disconnect from the 90S pre-ribosome in a dominant mak5 helicase mutant, allowing a 70-nm 90S-pre-60S bipartite particle to be visualized by electron microscopy. Our study provides insight into the assembly pathway when the still-connected nascent 40S and 60S subunits are beginning to separate.
Collapse
Affiliation(s)
- Sherif Ismail
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
| | - Dirk Flemming
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
| | - Matthias Thoms
- Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen-Straße 25, 81377 Munich, Germany
| | | | - Lennart Randau
- Philipps-Universität Marburg, Karl-von-Frisch-Str. 8, 35043 Marburg, Germany
| | - Roland Beckmann
- Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen-Straße 25, 81377 Munich, Germany.
| | - Ed Hurt
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120 Heidelberg, Germany.
| |
Collapse
|
10
|
Jády BE, Ketele A, Moulis D, Kiss T. Guide RNA acrobatics: positioning consecutive uridines for pseudouridylation by H/ACA pseudouridylation loops with dual guide capacity. Genes Dev 2022; 36:70-83. [PMID: 34916304 PMCID: PMC8763049 DOI: 10.1101/gad.349072.121] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/16/2021] [Indexed: 11/25/2022]
Abstract
Site-specific pseudouridylation of human ribosomal and spliceosomal RNAs is directed by H/ACA guide RNAs composed of two hairpins carrying internal pseudouridylation guide loops. The distal "antisense" sequences of the pseudouridylation loop base-pair with the target RNA to position two unpaired target nucleotides 5'-UN-3', including the 5' substrate U, under the base of the distal stem topping the guide loop. Therefore, each pseudouridylation loop is expected to direct synthesis of a single pseudouridine (Ψ) in the target sequence. However, in this study, genetic depletion and restoration and RNA mutational analyses demonstrate that at least four human H/ACA RNAs (SNORA53, SNORA57, SCARNA8, and SCARNA1) carry pseudouridylation loops supporting efficient and specific synthesis of two consecutive pseudouridines (ΨΨ or ΨNΨ) in the 28S (Ψ3747/Ψ3749), 18S (Ψ1045/Ψ1046), and U2 (Ψ43/Ψ44 and Ψ89/Ψ91) RNAs, respectively. In order to position two substrate Us for pseudouridylation, the dual guide loops form alternative base-pairing interactions with their target RNAs. This remarkable structural flexibility of dual pseudouridylation loops provides an unexpected versatility for RNA-directed pseudouridylation without compromising its efficiency and accuracy. Besides supporting synthesis of at least 6% of human ribosomal and spliceosomal Ψs, evidence indicates that dual pseudouridylation loops also participate in pseudouridylation of yeast and archaeal rRNAs.
Collapse
Affiliation(s)
- Beáta E Jády
- Molecular, Cellular, and Developmental Biology Department (MCD) UMR 5077, Centre de Biologie Intégrative (CBI), University of Toulouse, Centre National de la Recherche Scientifique, 31062 Toulouse, France
| | - Amandine Ketele
- Molecular, Cellular, and Developmental Biology Department (MCD) UMR 5077, Centre de Biologie Intégrative (CBI), University of Toulouse, Centre National de la Recherche Scientifique, 31062 Toulouse, France
| | - Dylan Moulis
- Molecular, Cellular, and Developmental Biology Department (MCD) UMR 5077, Centre de Biologie Intégrative (CBI), University of Toulouse, Centre National de la Recherche Scientifique, 31062 Toulouse, France
| | - Tamás Kiss
- Molecular, Cellular, and Developmental Biology Department (MCD) UMR 5077, Centre de Biologie Intégrative (CBI), University of Toulouse, Centre National de la Recherche Scientifique, 31062 Toulouse, France
- Biological Research Centre, 6726 Szeged, Hungary
| |
Collapse
|
11
|
Mawer JSP, Massen J, Reichert C, Grabenhorst N, Mylonas C, Tessarz P. Nhp2 is a reader of H2AQ105me and part of a network integrating metabolism with rRNA synthesis. EMBO Rep 2021; 22:e52435. [PMID: 34409714 PMCID: PMC8490984 DOI: 10.15252/embr.202152435] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 08/02/2021] [Accepted: 08/06/2021] [Indexed: 01/16/2023] Open
Abstract
Ribosome biogenesis is an essential cellular process that requires integration of extracellular cues, such as metabolic state, with intracellular signalling, transcriptional regulation and chromatin accessibility at the ribosomal DNA. Here, we demonstrate that the recently identified histone modification, methylation of H2AQ105 (H2AQ105me), is an integral part of a dynamic chromatin network at the rDNA locus. Its deposition depends on a functional mTor signalling pathway and acetylation of histone H3 at position K56, thus integrating metabolic and proliferative signals. Furthermore, we identify a first epigenetic reader of this modification, the ribonucleoprotein Nhp2, which specifically recognizes H2AQ105me. Based on functional and proteomic data, we suggest that Nhp2 functions as an adapter to bridge rDNA chromatin with components of the small subunit processome to efficiently coordinate transcription of rRNA with its post‐transcriptional processing. We support this by showing that an H2AQ105A mutant has a mild defect in early processing of rRNA.
Collapse
Affiliation(s)
- Julia S P Mawer
- Max Planck Research Group "Chromatin and Ageing", Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Jennifer Massen
- Max Planck Research Group "Chromatin and Ageing", Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Christina Reichert
- Max Planck Research Group "Chromatin and Ageing", Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Niklas Grabenhorst
- Max Planck Research Group "Chromatin and Ageing", Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Constantine Mylonas
- Max Planck Research Group "Chromatin and Ageing", Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Peter Tessarz
- Max Planck Research Group "Chromatin and Ageing", Max Planck Institute for Biology of Ageing, Cologne, Germany.,Cologne Excellence Cluster on Stress Responses in ageing-associated Diseases (CECAD), Cologne, Germany
| |
Collapse
|
12
|
Pickerill ES, Bernstein DA. CRISPR mediated genome editing, a tool to dissect RNA modification processes. Methods Enzymol 2021; 658:435-452. [PMID: 34517958 DOI: 10.1016/bs.mie.2021.06.013] [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: 01/04/2023]
Abstract
Though over 100 distinct RNA modifications have been identified, the roles for many of these modifications in vivo remain unknown. Genome editing is one tool investigators are using to better understand the roles these modifications play and the consequences of their absence. In this chapter, we describe how CRISPR mediated genome editing can be used to interrogate the process of RNA modification in C. albicans. Furthermore, we discuss how the protocols described can be altered to meet experimental demands. The underlying theory on which these protocols are based are applicable to a variety of model systems. The protocols described utilize the widely used S. pyogenes Cas9, but the field of genome editing is quickly evolving. We discuss the recent developments of more flexible CRISPR systems that can target a greater number of sites in the genome. These and other advancements make CRISPR mediated genome editing a practical methodology to investigate RNA modification.
Collapse
Affiliation(s)
- Ethan S Pickerill
- Department of Biology, Ball State University, Muncie, IN, United States
| | | |
Collapse
|
13
|
Gao W, Jones TA, Rivas E. Discovery of 17 conserved structural RNAs in fungi. Nucleic Acids Res 2021; 49:6128-6143. [PMID: 34086938 PMCID: PMC8216456 DOI: 10.1093/nar/gkab355] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/25/2021] [Accepted: 04/21/2021] [Indexed: 11/13/2022] Open
Abstract
Many non-coding RNAs with known functions are structurally conserved: their intramolecular secondary and tertiary interactions are maintained across evolutionary time. Consequently, the presence of conserved structure in multiple sequence alignments can be used to identify candidate functional non-coding RNAs. Here, we present a bioinformatics method that couples iterative homology search with covariation analysis to assess whether a genomic region has evidence of conserved RNA structure. We used this method to examine all unannotated regions of five well-studied fungal genomes (Saccharomyces cerevisiae, Candida albicans, Neurospora crassa, Aspergillus fumigatus, and Schizosaccharomyces pombe). We identified 17 novel structurally conserved non-coding RNA candidates, which include four H/ACA box small nucleolar RNAs, four intergenic RNAs and nine RNA structures located within the introns and untranslated regions (UTRs) of mRNAs. For the two structures in the 3' UTRs of the metabolic genes GLY1 and MET13, we performed experiments that provide evidence against them being eukaryotic riboswitches.
Collapse
Affiliation(s)
- William Gao
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, USA
| | - Thomas A Jones
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, USA
| | - Elena Rivas
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, USA
| |
Collapse
|
14
|
Czekay DP, Kothe U. H/ACA Small Ribonucleoproteins: Structural and Functional Comparison Between Archaea and Eukaryotes. Front Microbiol 2021; 12:654370. [PMID: 33776984 PMCID: PMC7991803 DOI: 10.3389/fmicb.2021.654370] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 02/18/2021] [Indexed: 01/04/2023] Open
Abstract
During ribosome synthesis, ribosomal RNA is modified through the formation of many pseudouridines and methylations which contribute to ribosome function across all domains of life. In archaea and eukaryotes, pseudouridylation of rRNA is catalyzed by H/ACA small ribonucleoproteins (sRNPs) utilizing different H/ACA guide RNAs to identify target uridines for modification. H/ACA sRNPs are conserved in archaea and eukaryotes, as they share a common general architecture and function, but there are also several notable differences between archaeal and eukaryotic H/ACA sRNPs. Due to the higher protein stability in archaea, we have more information on the structure of archaeal H/ACA sRNPs compared to eukaryotic counterparts. However, based on the long history of yeast genetic and other cellular studies, the biological role of H/ACA sRNPs during ribosome biogenesis is better understood in eukaryotes than archaea. Therefore, this review provides an overview of the current knowledge on H/ACA sRNPs from archaea, in particular their structure and function, and relates it to our understanding of the roles of eukaryotic H/ACA sRNP during eukaryotic ribosome synthesis and beyond. Based on this comparison of our current insights into archaeal and eukaryotic H/ACA sRNPs, we discuss what role archaeal H/ACA sRNPs may play in the formation of ribosomes.
Collapse
Affiliation(s)
- Dominic P Czekay
- Department of Chemistry and Biochemistry, Alberta RNA Research and Training Institute, University of Lethbridge, Lethbridge, AB, Canada
| | - Ute Kothe
- Department of Chemistry and Biochemistry, Alberta RNA Research and Training Institute, University of Lethbridge, Lethbridge, AB, Canada
| |
Collapse
|
15
|
Yao J, Wu DC, Nottingham RM, Lambowitz AM. Identification of protein-protected mRNA fragments and structured excised intron RNAs in human plasma by TGIRT-seq peak calling. eLife 2020; 9:e60743. [PMID: 32876046 PMCID: PMC7518892 DOI: 10.7554/elife.60743] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/01/2020] [Indexed: 12/18/2022] Open
Abstract
Human plasma contains > 40,000 different coding and non-coding RNAs that are potential biomarkers for human diseases. Here, we used thermostable group II intron reverse transcriptase sequencing (TGIRT-seq) combined with peak calling to simultaneously profile all RNA biotypes in apheresis-prepared human plasma pooled from healthy individuals. Extending previous TGIRT-seq analysis, we found that human plasma contains largely fragmented mRNAs from > 19,000 protein-coding genes, abundant full-length, mature tRNAs and other structured small non-coding RNAs, and less abundant tRNA fragments and mature and pre-miRNAs. Many of the mRNA fragments identified by peak calling correspond to annotated protein-binding sites and/or have stable predicted secondary structures that could afford protection from plasma nucleases. Peak calling also identified novel repeat RNAs, miRNA-sized RNAs, and putatively structured intron RNAs of potential biological, evolutionary, and biomarker significance, including a family of full-length excised intron RNAs, subsets of which correspond to mirtron pre-miRNAs or agotrons.
Collapse
Affiliation(s)
- Jun Yao
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| | - Douglas C Wu
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| | - Ryan M Nottingham
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| | - Alan M Lambowitz
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| |
Collapse
|
16
|
Mathlin J, Le Pera L, Colombo T. A Census and Categorization Method of Epitranscriptomic Marks. Int J Mol Sci 2020; 21:ijms21134684. [PMID: 32630140 PMCID: PMC7370119 DOI: 10.3390/ijms21134684] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 06/26/2020] [Accepted: 06/27/2020] [Indexed: 12/21/2022] Open
Abstract
In the past few years, thorough investigation of chemical modifications operated in the cells on ribonucleic acid (RNA) molecules is gaining momentum. This new field of research has been dubbed “epitranscriptomics”, in analogy to best-known epigenomics, to stress the potential of ensembles of RNA modifications to constitute a post-transcriptional regulatory layer of gene expression orchestrated by writer, reader, and eraser RNA-binding proteins (RBPs). In fact, epitranscriptomics aims at identifying and characterizing all functionally relevant changes involving both non-substitutional chemical modifications and editing events made to the transcriptome. Indeed, several types of RNA modifications that impact gene expression have been reported so far in different species of cellular RNAs, including ribosomal RNAs, transfer RNAs, small nuclear RNAs, messenger RNAs, and long non-coding RNAs. Supporting functional relevance of this largely unknown regulatory mechanism, several human diseases have been associated directly to RNA modifications or to RBPs that may play as effectors of epitranscriptomic marks. However, an exhaustive epitranscriptome’s characterization, aimed to systematically classify all RNA modifications and clarify rules, actors, and outcomes of this promising regulatory code, is currently not available, mainly hampered by lack of suitable detecting technologies. This is an unfortunate limitation that, thanks to an unprecedented pace of technological advancements especially in the sequencing technology field, is likely to be overcome soon. Here, we review the current knowledge on epitranscriptomic marks and propose a categorization method based on the reference ribonucleotide and its rounds of modifications (“stages”) until reaching the given modified form. We believe that this classification scheme can be useful to coherently organize the expanding number of discovered RNA modifications.
Collapse
Affiliation(s)
- Julia Mathlin
- Department of Life Sciences and Medicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
- Correspondence: (J.M.); (L.L.P.); Tel.: +39-06-4991-0556 (L.L.P.)
| | - Loredana Le Pera
- CNR-Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IBIOM), 70126 Bari, Italy
- CNR-Institute of Molecular Biology and Pathology (IBPM), 00185 Rome, Italy;
- Correspondence: (J.M.); (L.L.P.); Tel.: +39-06-4991-0556 (L.L.P.)
| | - Teresa Colombo
- CNR-Institute of Molecular Biology and Pathology (IBPM), 00185 Rome, Italy;
| |
Collapse
|
17
|
Boivin V, Reulet G, Boisvert O, Couture S, Elela SA, Scott MS. Reducing the structure bias of RNA-Seq reveals a large number of non-annotated non-coding RNA. Nucleic Acids Res 2020; 48:2271-2286. [PMID: 31980822 PMCID: PMC7049693 DOI: 10.1093/nar/gkaa028] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 01/08/2020] [Accepted: 01/22/2020] [Indexed: 02/06/2023] Open
Abstract
The study of RNA expression is the fastest growing area of genomic research. However, despite the dramatic increase in the number of sequenced transcriptomes, we still do not have accurate estimates of the number and expression levels of non-coding RNA genes. Non-coding transcripts are often overlooked due to incomplete genome annotation. In this study, we use annotation-independent detection of RNA reads generated using a reverse transcriptase with low structure bias to identify non-coding RNA. Transcripts between 20 and 500 nucleotides were filtered and crosschecked with non-coding RNA annotations revealing 111 non-annotated non-coding RNAs expressed in different cell lines and tissues. Inspecting the sequence and structural features of these transcripts indicated that 60% of these transcripts correspond to new snoRNA and tRNA-like genes. The identified genes exhibited features of their respective families in terms of structure, expression, conservation and response to depletion of interacting proteins. Together, our data reveal a new group of RNA that are difficult to detect using standard gene prediction and RNA sequencing techniques, suggesting that reliance on actual gene annotation and sequencing techniques distorts the perceived architecture of the human transcriptome.
Collapse
Affiliation(s)
- Vincent Boivin
- Département de biochimie et génomique fonctionnelle, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Gaspard Reulet
- Département de biochimie et génomique fonctionnelle, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Olivier Boisvert
- Département de biochimie et génomique fonctionnelle, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Sonia Couture
- Département de biochimie et génomique fonctionnelle, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Sherif Abou Elela
- Département de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Michelle S Scott
- Département de biochimie et génomique fonctionnelle, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| |
Collapse
|
18
|
Khajavi MZ, Tripathi AD, Khosravi-Darani K. Strategies of Freezing Tolerance in Yeast: Genes’ Rapid Response for Accumulation of Stress Protectants. CURRENT NUTRITION & FOOD SCIENCE 2019. [DOI: 10.2174/2210315508666181009113623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Production of frozen ready-to-bake bakery products has gained significant attention during the past few years. However, the freezing process during the production of frozen bakery products may decrease the quality especially in the case of suppression of the activity of baker yeast. Great improvements in the quality of frozen bakery products may be achieved by increasing the stability of yeast during freezing storage. Many microorganisms have different kinds of mechanisms to suppress environmental, freezing or thawing stresses. In this review paper, reported strategies which are used for rising tolerance of microorganisms, especially yeast, are reviewed. One of the introduced protective procedures is the accumulation of special intra-cellular metabolites by some microorganisms. Two main key metabolites in this regard are trehalose and proline (which act as an osmoprotectant and decrease the melting point of DNA), which are introduced in this review article. Also, cloning strategies for increasing their bioaccumulation are pointed out, and their mechanisms of action are described. Finally, overexpression of SNR84 gene as an another microbial strategy for surviving in harsh environmental conditions is (small nucleolar RNAs) mentioned, which leads to ribosomal pseudouridines (responsible for freezing tolerance and decreasing growth rate of organisms).
Collapse
Affiliation(s)
- Maryam Z. Khajavi
- Students` Research Committee, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Abhishek D. Tripathi
- Centre of Food Science and Technology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, U.P, India
| | - Kianoush Khosravi-Darani
- Research Department of Food Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
19
|
Dodbele S, Moreland B, Gardner SM, Bundschuh R, Jackman JE. 5'-End sequencing in Saccharomyces cerevisiae offers new insights into 5'-ends of tRNA H is and snoRNAs. FEBS Lett 2019; 593:971-981. [PMID: 30908619 DOI: 10.1002/1873-3468.13364] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 03/07/2019] [Accepted: 03/12/2019] [Indexed: 01/19/2023]
Abstract
tRNAH is guanylyltransferase (Thg1) specifies eukaryotic tRNAH is identity by catalysing a 3'-5' non-Watson-Crick (WC) addition of guanosine to the 5'-end of tRNAH is . Thg1 family enzymes in Archaea and Bacteria, called Thg1-like proteins (TLPs), catalyse a similar but distinct 3'-5' addition in an exclusively WC-dependent manner. Here, a genetic system in Saccharomyces cerevisiae was employed to further assess the biochemical differences between Thg1 and TLPs. Utilizing a novel 5'-end sequencing pipeline, we find that a Bacillus thuringiensis TLP sustains the growth of a thg1Δ strain by maintaining a WC-dependent addition of U-1 across from A73 . Additionally, we observe 5'-end heterogeneity in S. cerevisiae small nucleolar RNAs (snoRNAs), an observation that may inform methods of annotation and mechanisms of snoRNA processing.
Collapse
Affiliation(s)
- Samantha Dodbele
- The Ohio State Biochemistry Program, The Ohio State University, Columbus, OH, USA.,Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA.,Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - Blythe Moreland
- Center for RNA Biology, The Ohio State University, Columbus, OH, USA.,Department of Physics, The Ohio State University, Columbus, OH, USA
| | - Spencer M Gardner
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA.,Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - Ralf Bundschuh
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA.,Center for RNA Biology, The Ohio State University, Columbus, OH, USA.,Department of Physics, The Ohio State University, Columbus, OH, USA.,Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Jane E Jackman
- The Ohio State Biochemistry Program, The Ohio State University, Columbus, OH, USA.,Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA.,Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| |
Collapse
|
20
|
Åsman AKM, Curtis BA, Archibald JM. Nucleomorph Small RNAs in Cryptophyte and Chlorarachniophyte Algae. Genome Biol Evol 2019; 11:1117-1134. [PMID: 30949682 PMCID: PMC6461891 DOI: 10.1093/gbe/evz064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2019] [Indexed: 12/27/2022] Open
Abstract
The regulation of gene expression and RNA maturation underlies fundamental processes such as cell homeostasis, development, and stress acclimation. The biogenesis and modification of RNA is tightly controlled by an array of regulatory RNAs and nucleic acid-binding proteins. While the role of small RNAs (sRNAs) in gene expression has been studied in-depth in select model organisms, little is known about sRNA biology across the eukaryotic tree of life. We used deep sequencing to explore the repertoires of sRNAs encoded by the miniaturized, endosymbiotically derived “nucleomorph” genomes of two single-celled algae, the cryptophyte Guillardia theta and the chlorarachniophyte Bigelowiella natans. A total of 32.3 and 35.3 million reads were generated from G. theta and B. natans, respectively. In G. theta, we identified nucleomorph U1, U2, and U4 spliceosomal small nuclear RNAs (snRNAs) as well as 11 C/D box small nucleolar RNAs (snoRNAs), five of which have potential plant and animal homologs. The snoRNAs are predicted to perform 2′-O methylation of rRNA (but not snRNA). In B. natans, we found the previously undetected 5S rRNA as well as six orphan sRNAs. Analysis of chlorarachniophyte snRNAs shed light on the removal of the miniature 18–21 nt introns found in B. natans nucleomorph genes. Neither of the nucleomorph genomes appears to encode RNA pseudouridylation machinery, and U5 snRNA cannot be found in the cryptophyte G. theta. Considering the central roles of U5 snRNA and RNA modifications in other organisms, cytoplasm-to-nucleomorph RNA shuttling in cryptophyte algae is a distinct possibility.
Collapse
Affiliation(s)
- Anna K M Åsman
- Department of Biochemistry and Molecular Biology, Dalhousie University, Nova Scotia, Canada.,Department of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden
| | - Bruce A Curtis
- Department of Biochemistry and Molecular Biology, Dalhousie University, Nova Scotia, Canada
| | - John M Archibald
- Department of Biochemistry and Molecular Biology, Dalhousie University, Nova Scotia, Canada
| |
Collapse
|
21
|
Adachi H, De Zoysa MD, Yu YT. Post-transcriptional pseudouridylation in mRNA as well as in some major types of noncoding RNAs. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2018; 1862:230-239. [PMID: 30414851 DOI: 10.1016/j.bbagrm.2018.11.002] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 10/29/2018] [Accepted: 11/02/2018] [Indexed: 01/13/2023]
Abstract
Pseudouridylation is a post-transcriptional isomerization reaction that converts a uridine to a pseudouridine (Ψ) within an RNA chain. Ψ has chemical properties that are distinct from that of uridine and any other known nucleotides. Experimental data accumulated thus far have indicated that Ψ is present in many different types of RNAs, including coding and noncoding RNAs. Ψ is particularly concentrated in rRNA and spliceosomal snRNAs, and plays an important role in protein translation and pre-mRNA splicing, respectively. Ψ has also been found in mRNA, but its function there remains essentially unknown. In this review, we discuss the mechanisms and functions of RNA pseudouridylation, focusing on rRNA, snRNA and mRNA. We also discuss the methods, which have been developed to detect Ψs in RNAs. This article is part of a Special Issue entitled: mRNA modifications in gene expression control edited by Dr. Soller Matthias and Dr. Fray Rupert.
Collapse
Affiliation(s)
- Hironori Adachi
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | - Meemanage D De Zoysa
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | - Yi-Tao Yu
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, 601 Elmwood Avenue, Rochester, NY 14642, USA.
| |
Collapse
|
22
|
Moore AN, McWatters DC, Hudson AJ, Russell AG. RNA-Seq employing a novel rRNA depletion strategy reveals a rich repertoire of snoRNAs in Euglena gracilis including box C/D and Ψ-guide RNAs targeting the modification of rRNA extremities. RNA Biol 2018; 15:1309-1318. [PMID: 30252600 PMCID: PMC6284569 DOI: 10.1080/15476286.2018.1526561] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 08/21/2018] [Accepted: 09/16/2018] [Indexed: 01/06/2023] Open
Abstract
Previous mRNA transcriptome studies of Euglena gracilis have shown that this organism possesses a large and diverse complement of protein coding genes; however, the study of non-coding RNA classes has been limited. The natural extensive fragmentation of the E. gracilis large subunit ribosomal RNA presents additional barriers to the identification of non-coding RNAs as size-selected small RNA libraries will be dominated by rRNA sequences. In this study we have developed a strategy to significantly reduce rRNA amplification prior to RNA-Seq analysis thereby producing a ncRNA library allowing for the identification of many new E. gracilis small RNAs. Library analysis reveals 113 unique new small nucleolar (sno) RNAs and a large collection of snoRNA isoforms, as well as the first significant collection of nuclear tRNAs in this organism. A 3' end AGAUGN consensus motif and conserved structural features can now be defined for E. gracilis pseudouridine guide RNAs. snoRNAs of both classes were identified that target modification of the 3' extremities of rRNAs utilizing predicted base-pairing interactions with internally transcribed spacers (ITS), providing insight into the timing of steps in rRNA maturation. Cumulatively, this represents the most comprehensive analysis of small ncRNAs in Euglena gracilis to date.
Collapse
Affiliation(s)
- Ashley N. Moore
- Department of Biological Sciences, and Alberta RNA Research and Training Institute, University of Lethbridge, Lethbridge, AB, Canada
| | - David C. McWatters
- Department of Biological Sciences, and Alberta RNA Research and Training Institute, University of Lethbridge, Lethbridge, AB, Canada
| | - Andrew J. Hudson
- Department of Biological Sciences, and Alberta RNA Research and Training Institute, University of Lethbridge, Lethbridge, AB, Canada
| | - Anthony G. Russell
- Department of Biological Sciences, and Alberta RNA Research and Training Institute, University of Lethbridge, Lethbridge, AB, Canada
| |
Collapse
|
23
|
Canzler S, Stadler PF, Schor J. The fungal snoRNAome. RNA (NEW YORK, N.Y.) 2018; 24:342-360. [PMID: 29196413 PMCID: PMC5824354 DOI: 10.1261/rna.062778.117] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 11/19/2017] [Indexed: 06/07/2023]
Abstract
Small nucleolar RNAs (snoRNAs) are essential players in the rRNA biogenesis due to their involvement in the nucleolytic processing of the precursor and the subsequent guidance of nucleoside modifications. Within the kingdom Fungi, merely a few species-specific surveys have explored their snoRNA repertoire. However, the wide range of the snoRNA landscape spanning all major fungal lineages has not been mapped so far, mainly because of missing tools for automatized snoRNA detection and functional analysis. For the first time, we report here a comprehensive inventory of fungal snoRNAs together with a functional analysis and an in-depth investigation of their evolutionary history including innovations, deletions, and target switches. This large-scale analysis, incorporating more than 120 snoRNA families with more than 7700 individual snoRNA sequences, catalogs and clarifies the landscape of fungal snoRNA families, assigns functions to previously orphan snoRNAs, and increases the number of sequences by 450%. We also show that the snoRNAome is subject to ongoing rearrangements and adaptations, e.g., through lineage-specific targets and redundant guiding functions.
Collapse
Affiliation(s)
- Sebastian Canzler
- Bioinformatics Group, Department of Computer Science, Leipzig University, D-04107 Leipzig, Germany
| | - Peter F Stadler
- Bioinformatics Group, Department of Computer Science, Leipzig University, D-04107 Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Competence Center for Scalable Data Services and Solutions, and Leipzig Research Center for Civilization Diseases, Leipzig University, D-04103 Leipzig, Germany
- Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology - IZI, D-04103 Leipzig, Germany
- Max Planck Institute for Mathematics in the Sciences, D-04103 Leipzig, Germany
- Department of Theoretical Chemistry, University of Vienna, A-1090 Wien, Austria
- Center for non-coding RNA in Technology and Health, University of Copenhagen, DK-1870 Frederiksberg C, Denmark
- Santa Fe Institute, Santa Fe, New Mexico 87501, USA
| | - Jana Schor
- Young Investigators Group Bioinformatics and Transcriptomics, Department of Proteomics, Helmholtz Centre for Environmental Research - UFZ, D-04318 Leipzig, Germany
| |
Collapse
|
24
|
Firdaus-Raih M, Hashim NHF, Bharudin I, Abu Bakar MF, Huang KK, Alias H, Lee BKB, Mat Isa MN, Mat-Sharani S, Sulaiman S, Tay LJ, Zolkefli R, Muhammad Noor Y, Law DSN, Abdul Rahman SH, Md-Illias R, Abu Bakar FD, Najimudin N, Abdul Murad AM, Mahadi NM. The Glaciozyma antarctica genome reveals an array of systems that provide sustained responses towards temperature variations in a persistently cold habitat. PLoS One 2018; 13:e0189947. [PMID: 29385175 PMCID: PMC5791967 DOI: 10.1371/journal.pone.0189947] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 12/05/2017] [Indexed: 01/01/2023] Open
Abstract
Extremely low temperatures present various challenges to life that include ice formation and effects on metabolic capacity. Psyhcrophilic microorganisms typically have an array of mechanisms to enable survival in cold temperatures. In this study, we sequenced and analysed the genome of a psychrophilic yeast isolated in the Antarctic region, Glaciozyma antarctica. The genome annotation identified 7857 protein coding sequences. From the genome sequence analysis we were able to identify genes that encoded for proteins known to be associated with cold survival, in addition to annotating genes that are unique to G. antarctica. For genes that are known to be involved in cold adaptation such as anti-freeze proteins (AFPs), our gene expression analysis revealed that they were differentially transcribed over time and in response to different temperatures. This indicated the presence of an array of adaptation systems that can respond to a changing but persistent cold environment. We were also able to validate the activity of all the AFPs annotated where the recombinant AFPs demonstrated anti-freeze capacity. This work is an important foundation for further collective exploration into psychrophilic microbiology where among other potential, the genes unique to this species may represent a pool of novel mechanisms for cold survival.
Collapse
Affiliation(s)
- Mohd Firdaus-Raih
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- Institute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- * E-mail:
| | - Noor Haza Fazlin Hashim
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Izwan Bharudin
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Mohd Faizal Abu Bakar
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- Malaysia Genome Institute, Jalan Bangi Lama, Kajang, Selangor, Malaysia
| | - Kie Kyon Huang
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Halimah Alias
- Malaysia Genome Institute, Jalan Bangi Lama, Kajang, Selangor, Malaysia
| | - Bernard K. B. Lee
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Mohd Noor Mat Isa
- Malaysia Genome Institute, Jalan Bangi Lama, Kajang, Selangor, Malaysia
| | - Shuhaila Mat-Sharani
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- Malaysia Genome Institute, Jalan Bangi Lama, Kajang, Selangor, Malaysia
| | - Suhaila Sulaiman
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Lih Jinq Tay
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Radziah Zolkefli
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Yusuf Muhammad Noor
- Malaysia Genome Institute, Jalan Bangi Lama, Kajang, Selangor, Malaysia
- Department of Biosciences Engineering, Faculty of Chemical & Natural Resources Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Douglas Sie Nguong Law
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Siti Hamidah Abdul Rahman
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Rosli Md-Illias
- Department of Biosciences Engineering, Faculty of Chemical & Natural Resources Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Farah Diba Abu Bakar
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Nazalan Najimudin
- School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | - Abdul Munir Abdul Murad
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | | |
Collapse
|
25
|
Li S, Breaker RR. Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics. BMC Genomics 2017; 18:785. [PMID: 29029611 PMCID: PMC5640933 DOI: 10.1186/s12864-017-4171-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 10/05/2017] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND With the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding RNAs (ncRNAs). Bioinformatics tools similar to those used to uncover novel ncRNAs in bacteria, likewise, should be useful for searching fungal genomic sequences, and the relative ease of genetic experiments with some model fungal species could facilitate experimental validation studies. RESULTS We have adapted a bioinformatics pipeline for discovering bacterial ncRNAs to systematically analyze many fungal genomes. This comparative genomics pipeline integrates information on conserved RNA sequence and structural features with alternative splicing information to reveal fungal RNA motifs that are candidate regulatory domains, or that might have other possible functions. A total of 15 prominent classes of structured ncRNA candidates were identified, including variant HDV self-cleaving ribozyme representatives, atypical snoRNA candidates, and possible structured antisense RNA motifs. Candidate regulatory motifs were also found associated with genes for ribosomal proteins, S-adenosylmethionine decarboxylase (SDC), amidase, and HexA protein involved in Woronin body formation. We experimentally confirm that the variant HDV ribozymes undergo rapid self-cleavage, and we demonstrate that the SDC RNA motif reduces the expression of SAM decarboxylase by translational repression. Furthermore, we provide evidence that several other motifs discovered in this study are likely to be functional ncRNA elements. CONCLUSIONS Systematic screening of fungal genomes using a computational discovery pipeline has revealed the existence of a variety of novel structured ncRNAs. Genome contexts and similarities to known ncRNA motifs provide strong evidence for the biological and biochemical functions of some newly found ncRNA motifs. Although initial examinations of several motifs provide evidence for their likely functions, other motifs will require more in-depth analysis to reveal their functions.
Collapse
Affiliation(s)
- Sanshu Li
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 668 Jimei Road, Xiamen, 361021 China
- Howard Hughes Medical Institute, Yale University, Box 208103, New Haven, CT 06520-8103 USA
| | - Ronald R. Breaker
- Howard Hughes Medical Institute, Yale University, Box 208103, New Haven, CT 06520-8103 USA
- Department of Molecular, Cellular and Developmental Biology, Yale University, Box 208103, New Haven, CT 06520-8103 USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Box 208103, New Haven, CT 06520-8103 USA
| |
Collapse
|
26
|
Panni S, Prakash A, Bateman A, Orchard S. The yeast noncoding RNA interaction network. RNA (NEW YORK, N.Y.) 2017; 23:1479-1492. [PMID: 28701522 PMCID: PMC5602107 DOI: 10.1261/rna.060996.117] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 06/26/2017] [Indexed: 06/07/2023]
Abstract
This article describes the creation of the first expert manually curated noncoding RNA interaction networks for S. cerevisiae The RNA-RNA and RNA-protein interaction networks have been carefully extracted from the experimental literature and made available through the IntAct database (www.ebi.ac.uk/intact). We provide an initial network analysis and compare their properties to the much larger protein-protein interaction network. We find that the proteins that bind to ncRNAs in the network contain only a small proportion of classical RNA binding domains. We also see an enrichment of WD40 domains suggesting their direct involvement in ncRNA interactions. We discuss the challenges in collecting noncoding RNA interaction data and the opportunities for worldwide collaboration to fill the unmet need for this data.
Collapse
Affiliation(s)
- Simona Panni
- Università della Calabria, Dipartimento di Biologia, Ecologia e Scienze della Terra, Rende 87036, Italy
| | - Ananth Prakash
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Alex Bateman
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sandra Orchard
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| |
Collapse
|
27
|
Henras AK, Plisson-Chastang C, Humbert O, Romeo Y, Henry Y. Synthesis, Function, and Heterogeneity of snoRNA-Guided Posttranscriptional Nucleoside Modifications in Eukaryotic Ribosomal RNAs. Enzymes 2017; 41:169-213. [PMID: 28601222 DOI: 10.1016/bs.enz.2017.03.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Ribosomal RNAs contain numerous 2'-O-methylated nucleosides and pseudouridines. Methylation of the 2' oxygen of ribose moieties and isomerization of uridines into pseudouridines are catalyzed by C/D and H/ACA small nucleolar ribonucleoprotein particles, respectively. We review the composition, structure, and mode of action of archaeal and eukaryotic C/D and H/ACA particles. Most rRNA modifications cluster in functionally crucial regions of the rRNAs, suggesting they play important roles in translation. Some of these modifications promote global translation efficiency or modulate translation fidelity. Strikingly, recent quantitative nucleoside modification profiling methods have revealed that a subset of modification sites is not always fully modified. The finding of such ribosome heterogeneity is in line with the concept of specialized ribosomes that could preferentially translate specific mRNAs. This emerging concept is supported by findings that some human diseases are caused by defects in the rRNA modification machinery correlated with a significant alteration of IRES-dependent translation.
Collapse
Affiliation(s)
- Anthony K Henras
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France.
| | - Célia Plisson-Chastang
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Odile Humbert
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Yves Romeo
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Yves Henry
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France.
| |
Collapse
|
28
|
Ohtani M. Transcriptional regulation of snRNAs and its significance for plant development. JOURNAL OF PLANT RESEARCH 2017; 130:57-66. [PMID: 27900551 DOI: 10.1007/s10265-016-0883-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 11/01/2016] [Indexed: 05/05/2023]
Abstract
Small nuclear RNA (snRNA) represents a distinct class of non-coding RNA molecules. As these molecules have fundamental roles in RNA metabolism, including pre-mRNA splicing and ribosomal RNA processing, it is essential that their transcription be tightly regulated in eukaryotic cells. The genome of each organism contains hundreds of snRNA genes. Although the structures of these genes are highly diverse among organisms, the trans-acting factors that regulate snRNA transcription are evolutionarily conserved. Recent studies of the Arabidopsis thaliana srd2-1 mutant, which is defective in the snRNA transcription factor, provide insight into the physiological significance of snRNA regulation in plant development. Here, I review the current understanding of the molecular mechanisms underlying snRNA transcription.
Collapse
Affiliation(s)
- Misato Ohtani
- Graduate School of Biological Sciences, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan.
- Biomass Engineering Program Cooperation Division, RIKEN Center for Sustainable Resource Science, Yokohama, 230-0045, Japan.
| |
Collapse
|
29
|
Sloan KE, Warda AS, Sharma S, Entian KD, Lafontaine DLJ, Bohnsack MT. Tuning the ribosome: The influence of rRNA modification on eukaryotic ribosome biogenesis and function. RNA Biol 2016; 14:1138-1152. [PMID: 27911188 PMCID: PMC5699541 DOI: 10.1080/15476286.2016.1259781] [Citation(s) in RCA: 472] [Impact Index Per Article: 52.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
rRNAs are extensively modified during their transcription and subsequent maturation in the nucleolus, nucleus and cytoplasm. RNA modifications, which are installed either by snoRNA-guided or by stand-alone enzymes, generally stabilize the structure of the ribosome. However, they also cluster at functionally important sites of the ribosome, such as the peptidyltransferase center and the decoding site, where they facilitate efficient and accurate protein synthesis. The recent identification of sites of substoichiometric 2'-O-methylation and pseudouridylation has overturned the notion that all rRNA modifications are constitutively present on ribosomes, highlighting nucleotide modifications as an important source of ribosomal heterogeneity. While the mechanisms regulating partial modification and the functions of specialized ribosomes are largely unknown, changes in the rRNA modification pattern have been observed in response to environmental changes, during development, and in disease. This suggests that rRNA modifications may contribute to the translational control of gene expression.
Collapse
Affiliation(s)
- Katherine E Sloan
- a Institute for Molecular Biology, University Medical Center Göttingen, Georg-August-University , Göttingen , Germany
| | - Ahmed S Warda
- a Institute for Molecular Biology, University Medical Center Göttingen, Georg-August-University , Göttingen , Germany
| | - Sunny Sharma
- b RNA Molecular Biology and Center for Microscopy and Molecular Imaging, F.R.S./FNRS, Université Libre de Bruxelles , Charleroi-Gosselies , Belgium
| | - Karl-Dieter Entian
- c Institute for Molecular Biosciences, Goethe University , Frankfurt am Main , Germany
| | - Denis L J Lafontaine
- b RNA Molecular Biology and Center for Microscopy and Molecular Imaging, F.R.S./FNRS, Université Libre de Bruxelles , Charleroi-Gosselies , Belgium
| | - Markus T Bohnsack
- a Institute for Molecular Biology, University Medical Center Göttingen, Georg-August-University , Göttingen , Germany.,d Göttingen Centre for Molecular Biosciences, Georg-August-University , Göttingen , Germany
| |
Collapse
|
30
|
Donovan PD, Schröder MS, Higgins DG, Butler G. Identification of Non-Coding RNAs in the Candida parapsilosis Species Group. PLoS One 2016; 11:e0163235. [PMID: 27658249 PMCID: PMC5033589 DOI: 10.1371/journal.pone.0163235] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 09/06/2016] [Indexed: 01/08/2023] Open
Abstract
The Candida CTG clade is a monophyletic group of fungal species that translates CTG as serine, and includes the pathogens Candida albicans and Candida parapsilosis. Research has typically focused on identifying protein-coding genes in these species. Here, we use bioinformatic and experimental approaches to annotate known classes of non-coding RNAs in three CTG-clade species, Candida parapsilosis, Candida orthopsilosis and Lodderomyces elongisporus. We also update the annotation of ncRNAs in the C. albicans genome. The majority of ncRNAs identified were snoRNAs. Approximately 50% of snoRNAs (including most of the C/D box class) are encoded in introns. Most are within mono- and polycistronic transcripts with no protein coding potential. Five polycistronic clusters of snoRNAs are highly conserved in fungi. In polycistronic regions, splicing occurs via the classical pathway, as well as by nested and recursive splicing. We identified spliceosomal small nuclear RNAs, the telomerase RNA component, signal recognition particle, RNase P RNA component and the related RNase MRP RNA component in all three genomes. Stem loop IV of the U2 spliceosomal RNA and the associated binding proteins were lost from the ancestor of C. parapsilosis and C. orthopsilosis, following the divergence from L. elongisporus. The RNA component of the MRP is longer in C. parapsilosis, C. orthopsilosis and L. elongisporus than in S. cerevisiae, but is substantially shorter than in C. albicans.
Collapse
Affiliation(s)
- Paul D. Donovan
- School of Biomedical and Biomolecular Science and UCD Conway Institute of Biomolecular and Biomedical Research, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Markus S. Schröder
- School of Biomedical and Biomolecular Science and UCD Conway Institute of Biomolecular and Biomedical Research, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Desmond G. Higgins
- School of Medicine and UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland
| | - Geraldine Butler
- School of Biomedical and Biomolecular Science and UCD Conway Institute of Biomolecular and Biomedical Research, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
- * E-mail:
| |
Collapse
|
31
|
Qu J, Zhao M, Hsiang T, Feng X, Zhang J, Huang C. Identification and Characterization of Small Noncoding RNAs in Genome Sequences of the Edible Fungus Pleurotus ostreatus. BIOMED RESEARCH INTERNATIONAL 2016; 2016:2503023. [PMID: 27703969 PMCID: PMC5040776 DOI: 10.1155/2016/2503023] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 08/21/2016] [Accepted: 08/24/2016] [Indexed: 12/31/2022]
Abstract
Noncoding RNAs (ncRNAs) have been identified in many fungi. However, no genome-scale identification of ncRNAs has been inventoried for basidiomycetes. In this research, we detected 254 small noncoding RNAs (sncRNAs) in a genome assembly of an isolate (CCEF00389) of Pleurotus ostreatus, which is a widely cultivated edible basidiomycetous fungus worldwide. The identified sncRNAs include snRNAs, snoRNAs, tRNAs, and miRNAs. SnRNA U1 was not found in CCEF00389 genome assembly and some other basidiomycetous genomes by BLASTn. This implies that if snRNA U1 of basidiomycetes exists, it has a sequence that varies significantly from other organisms. By analyzing the distribution of sncRNA loci, we found that snRNAs and most tRNAs (88.6%) were located in pseudo-UTR regions, while miRNAs are commonly found in introns. To analyze the evolutionary conservation of the sncRNAs in P. ostreatus, we aligned all 254 sncRNAs to the genome assemblies of some other Agaricomycotina fungi. The results suggest that most sncRNAs (77.56%) were highly conserved in P. ostreatus, and 20% were conserved in Agaricomycotina fungi. These findings indicate that most sncRNAs of P. ostreatus were not conserved across Agaricomycotina fungi.
Collapse
Affiliation(s)
- Jibin Qu
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Microbial Resources, Ministry of Agriculture, Beijing, China
| | - Mengran Zhao
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Microbial Resources, Ministry of Agriculture, Beijing, China
| | - Tom Hsiang
- School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
| | - Xiaoxing Feng
- College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China
- Shenzhen Micro & Nano Research Institute of IC and System Applications, Shenzhen, Guangdong, China
| | - Jinxia Zhang
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Microbial Resources, Ministry of Agriculture, Beijing, China
| | - Chenyang Huang
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Microbial Resources, Ministry of Agriculture, Beijing, China
| |
Collapse
|
32
|
Zaringhalam M, Papavasiliou FN. Pseudouridylation meets next-generation sequencing. Methods 2016; 107:63-72. [DOI: 10.1016/j.ymeth.2016.03.001] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 03/05/2016] [Accepted: 03/07/2016] [Indexed: 11/15/2022] Open
|
33
|
Wang P, Yang L, Gao YQ, Zhao XS. Accurate placement of substrate RNA by Gar1 in H/ACA RNA-guided pseudouridylation. Nucleic Acids Res 2015. [PMID: 26206671 PMCID: PMC4551948 DOI: 10.1093/nar/gkv757] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
H/ACA RNA-guided ribonucleoprotein particle (RNP), the most complicated RNA pseudouridylase so far known, uses H/ACA guide RNA for substrate capture and four proteins (Cbf5, Nop10, L7Ae and Gar1) for pseudouridylation. Although it was shown that Gar1 not only facilitates the product release, but also enhances the catalytic activity, the chemical role that Gar1 plays in this complicated machinery is largely unknown. Kinetics measurement on Pyrococcus furiosus RNPs at different temperatures making use of fluorescence anisotropy showed that Gar1 reduces the catalytic barrier through affecting the activation entropy instead of enthalpy. Site-directed mutagenesis combined with molecular dynamics simulations demonstrated that V149 in the thumb loop of Cbf5 is critical in placing the target uridine to the right position toward catalytic D85 of Cbf5. The enzyme elegantly aligns the position of uridine in the catalytic site with the help of Gar1. In addition, conversion of uridine to pseudouridine results in a rigid syn configuration of the target nucleotide in the active site and causes Gar1 to pull out the thumb. Both factors guarantee the efficient release of the product.
Collapse
Affiliation(s)
- Peng Wang
- College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Biodynamic Optical Imaging Center (BIOPIC), Peking University, Beijing 100871, China
| | - Lijiang Yang
- College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Biodynamic Optical Imaging Center (BIOPIC), Peking University, Beijing 100871, China
| | - Yi Qin Gao
- College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Biodynamic Optical Imaging Center (BIOPIC), Peking University, Beijing 100871, China
| | - Xin Sheng Zhao
- College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, and Biodynamic Optical Imaging Center (BIOPIC), Peking University, Beijing 100871, China
| |
Collapse
|
34
|
Lin X, Zhang CY, Bai XW, Xiao DG. Enhanced leavening ability of baker’s yeast by overexpression of SNR84 with PGM2 deletion. ACTA ACUST UNITED AC 2015; 42:939-48. [DOI: 10.1007/s10295-015-1618-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 04/01/2015] [Indexed: 11/24/2022]
Abstract
Abstract
Dough-leavening ability is one of the main aspects considered when selecting a baker’s yeast strain for baking industry. Generally, modification of maltose metabolic pathway and known regulatory networks of maltose metabolism were used to increase maltose metabolism to improve leavening ability in lean dough. In this study, we focus on the effects of PGM2 (encoding for the phosphoglucomutase) and SNR84 (encoding for the H/ACA snoRNA) that are not directly related to both the maltose metabolic pathway and known regulatory networks of maltose metabolism on the leavening ability of baker’s yeast in lean dough. The results show that the modifications on PGM2 and/or SNR84 are effective ways in improving leavening ability of baker’s yeast in lean dough. Deletion of PGM2 decreased cellular glucose-1-phosphate and overexpression of SNR84 increased the maltose permease activity. These changes resulted in 11, 19 and 21 % increases of the leavening ability for PGM2 deletion, SNR84 overexpression and SNR84 overexpression combining deleted PGM2, respectively.
Collapse
Affiliation(s)
- Xue Lin
- grid.413109.e 0000000097356249 Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology Tianjin University of Science and Technology 300457 Tianjin People’s Republic of China
| | - Cui-Ying Zhang
- grid.413109.e 0000000097356249 Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology Tianjin University of Science and Technology 300457 Tianjin People’s Republic of China
| | - Xiao-Wen Bai
- grid.413109.e 0000000097356249 Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology Tianjin University of Science and Technology 300457 Tianjin People’s Republic of China
| | - Dong-Guang Xiao
- grid.413109.e 0000000097356249 Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology Tianjin University of Science and Technology 300457 Tianjin People’s Republic of China
| |
Collapse
|
35
|
Eliaz D, Doniger T, Tkacz ID, Biswas VK, Gupta SK, Kolev NG, Unger R, Ullu E, Tschudi C, Michaeli S. Genome-wide analysis of small nucleolar RNAs of Leishmania major reveals a rich repertoire of RNAs involved in modification and processing of rRNA. RNA Biol 2015; 12:1222-55. [PMID: 25970223 DOI: 10.1080/15476286.2015.1038019] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Trypanosomatids are protozoan parasites and the causative agent of infamous infectious diseases. These organisms regulate their gene expression mainly at the post-transcriptional level and possess characteristic RNA processing mechanisms. In this study, we analyzed the complete repertoire of Leishmania major small nucleolar (snoRNA) RNAs by performing RNA-seq analysis on RNAs that were affinity-purified using the C/D snoRNA core protein, SNU13, and the H/ACA core protein, NHP2. This study revealed a large collection of C/D and H/ACA snoRNAs, organized in gene clusters generally containing both snoRNA types. Abundant snoRNAs were identified and predicted to guide trypanosome-specific rRNA cleavages. The repertoire of snoRNAs was compared to that of the closely related Trypanosoma brucei, and 80% of both C/D and H/ACA molecules were found to have functional homologues. The comparative analyses elucidated how snoRNAs evolved to generate molecules with analogous functions in both species. Interestingly, H/ACA RNAs have great flexibility in their ability to guide modifications, and several of the RNA species can guide more than one modification, compensating for the presence of single hairpin H/ACA snoRNA in these organisms. Placing the predicted modifications on the rRNA secondary structure revealed hypermodification regions mostly in domains which are modified in other eukaryotes, in addition to trypanosome-specific modifications.
Collapse
Affiliation(s)
- Dror Eliaz
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| | - Tirza Doniger
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| | - Itai Dov Tkacz
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| | - Viplov Kumar Biswas
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| | - Sachin Kumar Gupta
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| | - Nikolay G Kolev
- b Department of Epidemiology of Microbial Diseases ; Yale University School of Public Health ; New Haven , CT USA
| | - Ron Unger
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| | - Elisabetta Ullu
- c Department of Internal Medicine and Cell Biology ; Yale University Medical School ; New Haven , CT USA.,d Cell Biology ; Yale University Medical School ; New Haven , CT USA
| | - Christian Tschudi
- b Department of Epidemiology of Microbial Diseases ; Yale University School of Public Health ; New Haven , CT USA
| | - Shulamit Michaeli
- a The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute ; Bar-Ilan University ; Ramat-Gan , Israel
| |
Collapse
|
36
|
Lin X, Zhang CY, Bai XW, Feng B, Xiao DG. Improvement of stress tolerance and leavening ability under multiple baking-associated stress conditions by overexpression of the SNR84 gene in baker's yeast. Int J Food Microbiol 2014; 197:15-21. [PMID: 25555226 DOI: 10.1016/j.ijfoodmicro.2014.12.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2014] [Revised: 11/30/2014] [Accepted: 12/13/2014] [Indexed: 10/24/2022]
Abstract
During the bread-making process, industrial baker's yeast cells are exposed to multiple baking-associated stresses, such as elevated high-temperature, high-sucrose and freeze-thaw stresses. There is a high demand for baker's yeast strains that could withstand these stresses with high leavening ability. The SNR84 gene encodes H/ACA snoRNA (small nucleolar RNA), which is known to be involved in pseudouridylation of the large subunit rRNA. However, the function of the SNR84 gene in baker's yeast coping with baking-associated stresses remains unclear. In this study, we explored the effect of SNR84 overexpression on baker's yeast which was exposed to high-temperature, high-sucrose and freeze-thaw stresses. These results suggest that overexpression of the SNR84 gene conferred tolerance of baker's yeast cells to high-temperature, high-sucrose and freeze-thaw stresses and enhanced their leavening ability in high-sucrose and freeze-thaw dough. These findings could provide a valuable insight for breeding of novel stress-resistant baker's yeast strains that are useful for baking.
Collapse
Affiliation(s)
- Xue Lin
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Cui-Ying Zhang
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China.
| | - Xiao-Wen Bai
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Bing Feng
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Dong-Guang Xiao
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China.
| |
Collapse
|
37
|
Dritsou V, Deligianni E, Dialynas E, Allen J, Poulakakis N, Louis C, Lawson D, Topalis P. Non-coding RNA gene families in the genomes of anopheline mosquitoes. BMC Genomics 2014; 15:1038. [PMID: 25432596 PMCID: PMC4300560 DOI: 10.1186/1471-2164-15-1038] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Accepted: 11/19/2014] [Indexed: 12/12/2022] Open
Abstract
Background Only a small fraction of the mosquito species of the genus Anopheles are able to transmit malaria, one of the biggest killer diseases of poverty, which is mostly prevalent in the tropics. This diversity has genetic, yet unknown, causes. In a further attempt to contribute to the elucidation of these variances, the international “Anopheles Genomes Cluster Consortium” project (a.k.a. “16 Anopheles genomes project”) was established, aiming at a comprehensive genomic analysis of several anopheline species, most of which are malaria vectors. In the frame of the international consortium carrying out this project our team studied the genes encoding families of non-coding RNAs (ncRNAs), concentrating on four classes: microRNA (miRNA), ribosomal RNA (rRNA), small nuclear RNA (snRNA), and in particular small nucleolar RNA (snoRNA) and, finally, transfer RNA (tRNA). Results Our analysis was carried out using, exclusively, computational approaches, and evaluating both the primary NGS reads as well as the respective genome assemblies produced by the consortium and stored in VectorBase; moreover, the results of RNAseq surveys in cases in which these were available and meaningful were also accessed in order to obtain supplementary data, as were “pre-genomic era” sequence data stored in nucleic acid databases. The investigation included the identification and analysis, in most species studied, of ncRNA genes belonging to several families, as well as the analysis of the evolutionary relations of some of those genes in cross-comparisons to other members of the genus Anopheles. Conclusions Our study led to the identification of members of these gene families in the majority of twenty different anopheline taxa. A set of tools for the study of the evolution and molecular biology of important disease vectors has, thus, been obtained. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-1038) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Pantelis Topalis
- Institute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece.
| |
Collapse
|
38
|
Adachi H, Yu YT. Insight into the mechanisms and functions of spliceosomal snRNA pseudouridylation. World J Biol Chem 2014; 5:398-408. [PMID: 25426264 PMCID: PMC4243145 DOI: 10.4331/wjbc.v5.i4.398] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Revised: 05/20/2014] [Accepted: 09/10/2014] [Indexed: 02/05/2023] Open
Abstract
Pseudouridines (Ψs) are the most abundant and highly conserved modified nucleotides found in various stable RNAs of all organisms. Most Ψs are clustered in regions that are functionally important for pre-mRNA splicing. Ψ has an extra hydrogen bond donor that endows RNA molecules with distinct properties that contribute significantly to RNA-mediated cellular processes. Experimental data indicate that spliceosomal snRNA pseudouridylation can be catalyzed by both RNA-dependent and RNA-independent mechanisms. Recent work has also demonstrated that pseudouridylation can be induced at novel positions under stress conditions, suggesting a regulatory role for Ψ.
Collapse
|
39
|
Deep profiling of the novel intermediate-size noncoding RNAs in intraerythrocytic Plasmodium falciparum. PLoS One 2014; 9:e92946. [PMID: 24713982 PMCID: PMC3979661 DOI: 10.1371/journal.pone.0092946] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2013] [Accepted: 02/27/2014] [Indexed: 11/23/2022] Open
Abstract
Intermediate-size noncoding RNAs (is-ncRNAs) have been shown to play important regulatory roles in the development of several eukaryotic organisms. However, they have not been thoroughly explored in Plasmodium falciparum, which is the most virulent malaria parasite infecting human being. By using Illumina/Solexa paired-end sequencing of an is-ncRNA-specific library, we performed a systematic identification of novel is-ncRNAs in intraerythrocytic P. falciparum, strain 3D7. A total of 1,198 novel is-ncRNA candidates, including antisense, intergenic, and intronic is-ncRNAs, were identified. Bioinformatics analyses showed that the intergenic is-ncRNAs were the least conserved among different Plasmodium species, and antisense is-ncRNAs were more conserved than their sense counterparts. Twenty-two novel snoRNAs were identified, and eight potential novel classes of P. falciparum is-ncRNAs were revealed by clustering analysis. The expression of randomly selected novel is-ncRNAs was confirmed by RT-PCR and northern blotting assays. An obvious different expressional profile of the novel is-ncRNA between the early and late intraerythrocytic developmental stages of the parasite was observed. The expression levels of the antisense RNAs correlated with those of their cis-encoded sense RNA counterparts, suggesting that these is-ncRNAs are involved in the regulation of gene expression of the parasite. In conclusion, we accomplished a deep profiling analysis of novel is-ncRNAs in P. falciparum, analysed the conservation and structural features of these novel is-ncRNAs, and revealed their differential expression patterns during the development of the parasite. These findings provide important information for further functional characterisation of novel is-ncRNAs during the development of P. falciparum.
Collapse
|
40
|
The ribosomal protein rpl26 promoter is required for its 3' sense terminus ncRNA transcription in Schizosaccharomyces pombe, implicating a new transcriptional mechanism for ncRNAs. Biochem Biophys Res Commun 2014; 444:86-91. [PMID: 24434141 DOI: 10.1016/j.bbrc.2014.01.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2014] [Accepted: 01/09/2014] [Indexed: 11/20/2022]
Abstract
Transcriptome studies have revealed that many non-coding RNAs (ncRNAs) are located near the 3' sense terminus of protein-coding genes. However, the transcription and function of these RNAs remain elusive. Here, we identify a 3' sense termini-associated sRNA (TASR) downstream of rpl26 in Schizosaccharomyces pombe (S. pombe). Structure and function assays indicate that the TASR is an H/ACA box snoRNA required for 18S rRNA pseudouridylation at U121 and U305 sites and is therefore a cognate of snR49 from the budding yeast. Transcriptional studies show that pre-snR49 overlaps most of the coding sequence (CDS) of rpl26. Using scanning deletion analysis within promoter region, we show that the rpl26 promoter is required for the 3' TASR transcription. Interestingly, chromosomal synteny of rpl26-snR49 is found in the Schizosaccharomyces groups. Taken together, we have revealed a new transcriptional mechanism for 3' sense TASRs, which are transcribed by the same promoter as their upstream protein genes. These results further suggest that the origin and function of 3' sense ncRNAs are associated with upstream genes in higher eukaryotes.
Collapse
|
41
|
Abstract
Many different types of functional non-coding RNAs participate in a wide range of important cellular functions but the large majority of these RNAs are not routinely annotated in published genomes. Several programs have been developed for identifying RNAs, including specific tools tailored to a particular RNA family as well as more general ones designed to work for any family. Many of these tools utilize covariance models (CMs), statistical models of the conserved sequence, and structure of an RNA family. In this chapter, as an illustrative example, the Infernal software package and CMs from the Rfam database are used to identify RNAs in the genome of the archaeon Methanobrevibacter ruminantium, uncovering some additional RNAs not present in the genome's initial annotation. Analysis of the results and comparison with family-specific methods demonstrate some important strengths and weaknesses of this general approach.
Collapse
Affiliation(s)
- Eric P Nawrocki
- Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, VA, 20147, USA
| |
Collapse
|
42
|
Abstract
Many RNA families, i.e., groups of homologous RNA genes, belong to RNA classes, such as tRNAs, snoRNAs, or microRNAs, that are characterized by common sequence motifs and/or common secondary structure features. The detection of new members of RNA classes, as well as the comprehensive annotation of genomes with members of RNA classes is a challenging task that goes beyond simple homology search. Computational methods addressing this problem typically use a three-tiered approach: In the first step an efficient and sensitive filter is employed. In the second step the candidate set is narrowed down using computationally expensive methods geared towards specificity. In the final step the hits are annotated with class-specific features and scored. Here we review the tools that are currently available for a diverse set of RNA classes.
Collapse
|
43
|
Yu YT, Meier UT. RNA-guided isomerization of uridine to pseudouridine--pseudouridylation. RNA Biol 2014; 11:1483-94. [PMID: 25590339 PMCID: PMC4615163 DOI: 10.4161/15476286.2014.972855] [Citation(s) in RCA: 94] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2014] [Accepted: 09/12/2014] [Indexed: 01/13/2023] Open
Abstract
Box H/ACA ribonucleoproteins (RNPs), each consisting of one unique guide RNA and 4 common core proteins, constitute a family of complex enzymes that catalyze, in an RNA-guided manner, the isomerization of uridines to pseudouridines (Ψs) in RNAs, a reaction known as pseudouridylation. Over the years, box H/ACA RNPs have been extensively studied revealing many important aspects of these RNA modifying machines. In this review, we focus on the composition, structure, and biogenesis of H/ACA RNPs. We explain the mechanism of how this enzyme family recognizes and specifies its target uridine in a substrate RNA. We discuss the substrates of box H/ACA RNPs, focusing on rRNA (rRNA) and spliceosomal small nuclear RNA (snRNA). We describe the modification product Ψ and its contribution to RNA function. Finally, we consider possible mechanisms of the bone marrow failure syndrome dyskeratosis congenita and of prostate and other cancers linked to mutations in H/ACA RNPs.
Collapse
Key Words
- DC, dyskeratosis congenita
- H/ACA
- HH, hoyeraal-hreidarsson syndrome
- PIKK, phosphatidylinositol 3-kinase-related kinase
- PUA, pseudouridylase and archaeosine transglycosylase
- RNA modification
- RNA-guided
- RNP, ribonucleoprotein
- SMN, survival of motor neuron protein
- SSD, SHQ1 specific domain
- U, uridine
- X-DC, X-linked dyskeratosis congenita
- dyskeratosis congenita
- prostate cancer
- pseudouridine
- rRNA
- rRNA, ribosomal RNA
- ribonucleoproteins
- sca, small Cajal body
- snRNA, small nuclear RNA
- sno, small nucleolar
- snoRNA
- snoRNA, small nucleolar RNA
- spliceosomal small nuclear RNA
- tRNA, transfer RNA
- ψ, pseudouridine, 5-ribosyluracil
Collapse
MESH Headings
- Dyskeratosis Congenita/genetics
- Dyskeratosis Congenita/metabolism
- Dyskeratosis Congenita/pathology
- Humans
- Isomerism
- Male
- Mutation
- Nucleic Acid Conformation
- Prostatic Neoplasms/genetics
- Prostatic Neoplasms/metabolism
- Prostatic Neoplasms/pathology
- Pseudouridine/metabolism
- RNA Processing, Post-Transcriptional
- RNA, Ribosomal/genetics
- RNA, Ribosomal/metabolism
- RNA, Small Nuclear/genetics
- RNA, Small Nuclear/metabolism
- RNA, Transfer, Amino Acid-Specific/genetics
- RNA, Transfer, Amino Acid-Specific/metabolism
- Ribonucleoproteins, Small Nuclear/genetics
- Ribonucleoproteins, Small Nuclear/metabolism
- Uridine/metabolism
- RNA, Guide, CRISPR-Cas Systems
Collapse
Affiliation(s)
- Yi-Tao Yu
- University of Rochester Medical Center; Department of Biochemistry and Biophysics; Center for RNA Biology; Rochester, NY USA
| | - U Thomas Meier
- Albert Einstein College of Medicine; Department of Anatomy and Structural Biology; Bronx, NY USA
| |
Collapse
|
44
|
Identification and characterisation of non-coding small RNAs in the pathogenic filamentous fungus Trichophyton rubrum. BMC Genomics 2013; 14:931. [PMID: 24377353 PMCID: PMC3890542 DOI: 10.1186/1471-2164-14-931] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2013] [Accepted: 12/20/2013] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Accumulating evidence demonstrates that non-coding RNAs (ncRNAs) are indispensable components of many organisms and play important roles in cellular events, regulation, and development. RESULTS Here, we analysed the small non-coding RNA (ncRNA) transcriptome of Trichophyton rubrum by constructing and sequencing a cDNA library from conidia and mycelia. We identified 352 ncRNAs and their corresponding genomic loci. These ncRNA candidates included 198 entirely novel ncRNAs and 154 known ncRNAs classified as snRNAs, snoRNAs and other known ncRNAs. Further bioinformatic analysis detected 96 snoRNAs, including 56 snoRNAs that had been annotated in other organisms and 40 novel snoRNAs. All snoRNAs belonged to two major classes--C/D box snoRNAs and H/ACA snoRNAs--and their potential target sites in rRNAs and snRNAs were predicted. To analyse the evolutionary conservation of the ncRNAs in T. rubrum, we aligned all 352 ncRNAs to the genomes of six dermatophytes and to the NCBI non-redundant nucleotide database (NT). The results showed that most of the identified snRNAs were conserved in dermatophytes. Of the 352 ncRNAs, 102 also had genomic loci in other dermatophytes, and 27 were dermatophyte-specific. CONCLUSIONS Our systematic analysis may provide important clues to the function and evolution of ncRNAs in T. rubrum. These results also provide important information to complement the current annotation of the T. rubrum genome, which primarily comprises protein-coding genes.
Collapse
|
45
|
Ge J, Yu YT. RNA pseudouridylation: new insights into an old modification. Trends Biochem Sci 2013; 38:210-8. [PMID: 23391857 PMCID: PMC3608706 DOI: 10.1016/j.tibs.2013.01.002] [Citation(s) in RCA: 201] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Revised: 12/22/2012] [Accepted: 01/07/2013] [Indexed: 12/18/2022]
Abstract
Pseudouridine is the most abundant post-transcriptionally modified nucleotide in various stable RNAs of all organisms. Pseudouridine is derived from uridine via base-specific isomerization, resulting in an extra hydrogen-bond donor that distinguishes it from other nucleotides. In eukaryotes, uridine-to-pseudouridine isomerization is catalyzed primarily by box H/ACA RNPs, ribonucleoproteins that act as pseudouridylases. When introduced into RNA, pseudouridine contributes significantly to RNA-mediated cellular processes. It was recently discovered that pseudouridylation can be induced by stress, suggesting a regulatory role for pseudouridine. It has also been reported that pseudouridine can be artificially introduced into mRNA by box H/ACA RNPs and that such introduction can mediate nonsense-to-sense codon conversion, thus demonstrating a new means of generating coding or protein diversity.
Collapse
Affiliation(s)
- Junhui Ge
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | | |
Collapse
|
46
|
Samaranayake D, Atencio D, Morse R, Wade JT, Chaturvedi V, Hanes SD. Role of Ess1 in growth, morphogenetic switching, and RNA polymerase II transcription in Candida albicans. PLoS One 2013; 8:e59094. [PMID: 23516603 PMCID: PMC3597612 DOI: 10.1371/journal.pone.0059094] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2012] [Accepted: 02/12/2013] [Indexed: 11/18/2022] Open
Abstract
Candida albicans is a fungal pathogen that causes potentially fatal infections among immune-compromised individuals. The emergence of drug resistant C. albicans strains makes it important to identify new antifungal drug targets. Among potential targets are enzymes known as peptidyl-prolyl cis/trans isomerases (PPIases) that catalyze isomerization of peptide bonds preceding proline. We are investigating a PPIase called Ess1, which is conserved in all major human pathogenic fungi. Previously, we reported that C. albicans Ess1 is essential for growth and morphogenetic switching. In the present study, we re-evaluated these findings using more rigorous genetic analyses, including the use of additional CaESS1 mutant alleles, distinct marker genes, and the engineering of suitably-matched isogenic control strains. The results confirm that CaEss1 is essential for growth in C. albicans, but show that reduction of CaESS1 gene dosage by half (δ/+) does not interfere with morphogenetic switching. However, further reduction of CaEss1 levels using a conditional allele does reduce morphogenetic switching. We also examine the role of the linker α-helix that distinguishes C. albicans Ess1 from the human Pin1 enzyme, and present results of a genome-wide transcriptome analysis. The latter analysis indicates that CaEss1 has a conserved role in regulation of RNA polymerase II function, and is required for efficient termination of small nucleolar RNAs and repression of cryptic transcription in C. albicans.
Collapse
Affiliation(s)
- Dhanushki Samaranayake
- Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, New York, United States of America
- Division of Genetics, Wadsworth Center, NY State Department of Health, Albany, New York, United States of America
| | - David Atencio
- Department of Biochemistry and Molecular Biology, State University of New York, Upstate Medical University, Syracuse, New York, United States of America
| | - Randall Morse
- Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, New York, United States of America
- Division of Genetics, Wadsworth Center, NY State Department of Health, Albany, New York, United States of America
| | - Joseph T. Wade
- Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, New York, United States of America
- Division of Genetics, Wadsworth Center, NY State Department of Health, Albany, New York, United States of America
| | - Vishnu Chaturvedi
- Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, New York, United States of America
- Mycology Laboratory, Wadsworth Center, NY State Department of Health, Albany, New York, United States of America
| | - Steven D. Hanes
- Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, New York, United States of America
- Division of Infectious Disease, Wadsworth Center, NY State Department of Health, Albany, New York, United States of America
- Department of Biochemistry and Molecular Biology, State University of New York, Upstate Medical University, Syracuse, New York, United States of America
| |
Collapse
|
47
|
Washietl S, Will S, Hendrix DA, Goff LA, Rinn JL, Berger B, Kellis M. Computational analysis of noncoding RNAs. WILEY INTERDISCIPLINARY REVIEWS-RNA 2012; 3:759-78. [PMID: 22991327 DOI: 10.1002/wrna.1134] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Noncoding RNAs have emerged as important key players in the cell. Understanding their surprisingly diverse range of functions is challenging for experimental and computational biology. Here, we review computational methods to analyze noncoding RNAs. The topics covered include basic and advanced techniques to predict RNA structures, annotation of noncoding RNAs in genomic data, mining RNA-seq data for novel transcripts and prediction of transcript structures, computational aspects of microRNAs, and database resources.
Collapse
Affiliation(s)
- Stefan Washietl
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | | | | | | | | | | | | |
Collapse
|
48
|
Comparative genomics of eukaryotic small nucleolar RNAs reveals deep evolutionary ancestry amidst ongoing intragenomic mobility. BMC Evol Biol 2012; 12:183. [PMID: 22978381 PMCID: PMC3511168 DOI: 10.1186/1471-2148-12-183] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2012] [Accepted: 09/04/2012] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Small nucleolar (sno)RNAs are required for posttranscriptional processing and modification of ribosomal, spliceosomal and messenger RNAs. Their presence in both eukaryotes and archaea indicates that snoRNAs are evolutionarily ancient. The location of some snoRNAs within the introns of ribosomal protein genes has been suggested to belie an RNA world origin, with the exons of the earliest protein-coding genes having evolved around snoRNAs after the advent of templated protein synthesis. Alternatively, this intronic location may reflect more recent selection for coexpression of snoRNAs and ribosomal components, ensuring rRNA modification by snoRNAs during ribosome synthesis. To gain insight into the evolutionary origins of this genetic organization, we examined the antiquity of snoRNA families and the stability of their genomic location across 44 eukaryote genomes. RESULTS We report that dozens of snoRNA families are traceable to the Last Eukaryotic Common Ancestor (LECA), but find only weak similarities between the oldest eukaryotic snoRNAs and archaeal snoRNA-like genes. Moreover, many of these LECA snoRNAs are located within the introns of host genes independently traceable to the LECA. Comparative genomic analyses reveal the intronic location of LECA snoRNAs is not ancestral however, suggesting the pattern we observe is the result of ongoing intragenomic mobility. Analysis of human transcriptome data indicates that the primary requirement for hosting intronic snoRNAs is a broad expression profile. Consistent with ongoing mobility across broadly-expressed genes, we report a case of recent migration of a non-LECA snoRNA from the intron of a ubiquitously expressed non-LECA host gene into the introns of two LECA genes during the evolution of primates. CONCLUSIONS Our analyses show that snoRNAs were a well-established family of RNAs at the time when eukaryotes began to diversify. While many are intronic, this association is not evolutionarily stable across the eukaryote tree; ongoing intragenomic mobility has erased signal of their ancestral gene organization, and neither introns-first nor evolved co-expression adequately explain our results. We therefore present a third model - constrained drift - whereby individual snoRNAs are intragenomically mobile and may occupy any genomic location from which expression satisfies phenotype.
Collapse
|
49
|
Liu N, Xiao B, Ren HY, Tang ZL, Li K. Systematic identification and characterization of porcine snoRNAs: structural, functional and developmental insights. Anim Genet 2012; 44:24-33. [DOI: 10.1111/j.1365-2052.2012.02363.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2012] [Indexed: 11/28/2022]
Affiliation(s)
- Nan Liu
- State Key Laboratory for Animal Nutrition; Institute of Animal Science; Chinese Academy of Agricultural Sciences; Beijing; 100193; China
| | - Bang Xiao
- State Key Laboratory for Animal Nutrition; Institute of Animal Science; Chinese Academy of Agricultural Sciences; Beijing; 100193; China
| | - Hong-Yan Ren
- State Key Laboratory for Animal Nutrition; Institute of Animal Science; Chinese Academy of Agricultural Sciences; Beijing; 100193; China
| | - Zhong-Lin Tang
- State Key Laboratory for Animal Nutrition; Institute of Animal Science; Chinese Academy of Agricultural Sciences; Beijing; 100193; China
| | - Kui Li
- State Key Laboratory for Animal Nutrition; Institute of Animal Science; Chinese Academy of Agricultural Sciences; Beijing; 100193; China
| |
Collapse
|
50
|
Xiao T, Wang Y, Luo H, Liu L, Wei G, Chen X, Sun Y, Chen X, Skogerbø G, Chen R. A differential sequencing-based analysis of the C. elegans noncoding transcriptome. RNA (NEW YORK, N.Y.) 2012; 18:626-639. [PMID: 22345127 PMCID: PMC3312551 DOI: 10.1261/rna.030965.111] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2011] [Accepted: 12/22/2011] [Indexed: 05/31/2023]
Abstract
Noncoding RNAs are increasingly being recognized as important players in eukaryote biology. However, despite major efforts in mapping the Caenorhabditis elegans transcriptome over the last couple of years, nonpolyadenylated and intermediate-size noncoding RNAs (is-ncRNAs) are still incompletely explored. We have combined an enzymatic approach with full-length RNA-Seq of is-ncRNAs in C. elegans. A total of 473 novel is-ncRNAs has been identified, of which a substantial fraction was associated with transcription factor binding sites and developmentally regulated expression patterns. Analysis of sequence and secondary structure permitted classification of more than 200 is-ncRNAs into several known RNA classes, while another 33 is-ncRNAs were identified as belonging to two previously uncharacterized groups of is-ncRNAs. Three of the unclassified is-ncRNAs contain the 5' Alu domain common to SRP RNAs and specifically bound with the SRP9/14 heterodimer in vitro. One of these (inc394) showed 65% sequence identity with the human, neuron-specific BC200 RNA. Structure-based clustering analysis and in vitro binding experiments supported the notion that the nematode stem-bulge RNAs (sbRNAs) are homologs (or functional analogs) of the Y RNAs. Moreover, analysis of the differential libraries showed that some mature snoRNAs undergo secondary 5' cap modification after processing of the primary transcript, thus suggesting the existence of a wider range of functional RNAs arising from processed and modified fragments of primary transcripts.
Collapse
Affiliation(s)
- Tengfei Xiao
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Graduate School of the Chinese Academy of Science, Beijing 100080, China
| | - Yunfei Wang
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Huaxia Luo
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Graduate School of the Chinese Academy of Science, Beijing 100080, China
| | - Lihui Liu
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Graduate School of the Chinese Academy of Science, Beijing 100080, China
| | - Guifeng Wei
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Graduate School of the Chinese Academy of Science, Beijing 100080, China
| | - Xiaowei Chen
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Graduate School of the Chinese Academy of Science, Beijing 100080, China
| | - Yu Sun
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Graduate School of the Chinese Academy of Science, Beijing 100080, China
| | - Xiaomin Chen
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Geir Skogerbø
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Runsheng Chen
- Laboratory of Bioinformatics and Noncoding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| |
Collapse
|