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Fang Z, Jia X, Xing Y, Szostak JW. Nonenzymatic RNA copying with a potentially primordial genetic alphabet. Proc Natl Acad Sci U S A 2025; 122:e2505720122. [PMID: 40397670 DOI: 10.1073/pnas.2505720122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2025] [Accepted: 04/23/2025] [Indexed: 05/23/2025] Open
Abstract
Nonenzymatic RNA copying is thought to have been responsible for the replication of genetic information during the origin of life. However, chemical copying with the canonical nucleotides (A, U, G, and C) strongly favors the incorporation of G and C and disfavors the incorporation of A and especially U because of the stronger G:C vs. A:U base pair and the weaker stacking interactions of U. Recent advances in prebiotic chemistry suggest that the 2-thiopyrimidines were precursors to the canonical pyrimidines, raising the possibility that they may have played an important early role in RNA copying chemistry. Furthermore, 2-thiouridine (s2U) and inosine (I) form by deamination of 2-thiocytidine (s2C) and A, respectively. We used thermodynamic and crystallographic analyses to compare the I:s2C and A:s2U base pairs. We find that the I:s2C base pair is isomorphic and isoenergetic with the A:s2U base pair. The I:s2C base pair is weaker than a canonical G:C base pair, while the A:s2U base pair is stronger than the canonical A:U base pair, so that a genetic alphabet consisting of s2U, s2C, I, and A generates RNA duplexes with uniform base pairing energies. Consistent with these results, kinetic analysis of nonenzymatic template-directed primer extension reactions reveals that s2C and s2U substrates bind similarly to I and A in the template, and vice versa. Our work supports the plausibility of a potentially primordial genetic alphabet consisting of s2U, s2C, I, and A and offers a potential solution to the long-standing problem of biased nucleotide incorporation during nonenzymatic template copying.
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Affiliation(s)
- Ziyuan Fang
- HHMI, Department of Chemistry, The University of Chicago, Chicago, IL 60637
| | - Xiwen Jia
- HHMI, Department of Chemistry, The University of Chicago, Chicago, IL 60637
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
| | - Yanfeng Xing
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637
| | - Jack W Szostak
- HHMI, Department of Chemistry, The University of Chicago, Chicago, IL 60637
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2
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Latifi B, Cole K, Vu MK, Lupták A. Rapid discovery of functional RNA domains. Nucleic Acids Res 2025; 53:gkaf307. [PMID: 40243058 PMCID: PMC12004112 DOI: 10.1093/nar/gkaf307] [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: 05/23/2024] [Revised: 03/25/2025] [Accepted: 04/04/2025] [Indexed: 04/18/2025] Open
Abstract
Many strategies have been implemented to enrich an RNA population for a selectable function, but demarcation of the optimal functional motifs or minimal structures within longer libraries remains a lengthy and tedious process. To overcome this problem, we have developed a technique that isolates minimal active segments from complex heterogeneous pools of RNAs. This method allows for truncations to occur at both 5' and 3' ends of functional domains and introduces independent primer-binding sequences, thereby removing sequence and structure bias introduced by constant-sequence regions. We show examples of minimization for genomic and synthetic aptamers and demonstrate that the method can directly reveal an active RNA assembled from multiple strands, facilitating the development of heterodimeric structures used in cellular sensors. This approach provides a pipeline to experimentally define the boundaries of active domains and accelerate the discovery of functional RNAs.
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Affiliation(s)
- Brandon Latifi
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, United States
| | - Kyle H Cole
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, United States
| | - Michael M K Vu
- Department of Chemistry, University of California, Irvine, Irvine, CA 92697, United States
| | - Andrej Lupták
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, United States
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, United States
- Department of Chemistry, University of California, Irvine, Irvine, CA 92697, United States
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3
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Asa TA, Singh CD, Singh TS, Salahi S, Alom KM, Seo YJ. Nonenzymatically modified mRNA for regulating translation and apoptosis by modulating Cancer epigenetics. Bioorg Chem 2025; 157:108328. [PMID: 40043385 DOI: 10.1016/j.bioorg.2025.108328] [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: 10/25/2024] [Revised: 02/13/2025] [Accepted: 02/26/2025] [Indexed: 03/18/2025]
Abstract
In this study, we employed imidazole-activated natural or modified guanosine derivatives to extend the 3' ends of mRNA using a nonenzymatic method beyond 30 poly-A tails. We evaluated their impact on the translation activity in cell studies using three genes: GFP, Luciferase, and Apoptin. The assessments were conducted through cell imaging, fluorescence, luminescence, western blot analysis, and RT-qPCR to evaluate varying apoptosis-mediated EZH2 expression in cancer epigenetics, among the compounds tested GMP-2-amino-IM, 2'O-Me-2-amino-IM, and N7-(2-MePy)-GMP-IM. The sugar-modified 2'O-Me-GMP-2-amino-IM demonstrated the most favorable results as mRNAs treated with this compound exhibited higher expression levels with promising mRNA stability relative to the control mRNA (without any extension) and other tested compounds. Subsequently, we transfected cancer cells with nonenzymatically modified apoptin mRNAs by utilizing the three imidazole-activated guanosine derivatives compounds and monitored the induced apoptosis. These findings suggest that 2'O-Me-2-amino-IM-modified apoptin mRNA could serve as a promising tool for cancer therapy by inducing apoptosis while selectively modulating EZH2 expression, a key regulator in oncogene suppression.
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Affiliation(s)
- Tasnima Alam Asa
- Department of Chemistry, Jeonbuk National University, Jeonju 54896, South Korea
| | | | | | - Saleh Salahi
- Department of Chemistry, Jeonbuk National University, Jeonju 54896, South Korea
| | - Kazi Morshed Alom
- Department of Chemistry, Jeonbuk National University, Jeonju 54896, South Korea
| | - Young Jun Seo
- Department of Chemistry, Jeonbuk National University, Jeonju 54896, South Korea.
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4
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Wu L, Zhang J, Cornwell‐Arquitt R, Hendrix DA, Radakovic A, Szostak JW. Selective Nonenzymatic Formation of Biologically Common RNA Hairpins. Angew Chem Int Ed Engl 2025; 64:e202417370. [PMID: 39568250 PMCID: PMC11773311 DOI: 10.1002/anie.202417370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 11/06/2024] [Accepted: 11/19/2024] [Indexed: 11/22/2024]
Abstract
The prebiotic formation of RNA building blocks is well-supported experimentally, yet the emergence of sequence- and structure-specific RNA oligomers is generally attributed to biological selection via Darwinian evolution rather than prebiotic chemical selectivity. In this study, we used deep sequencing to investigate the partitioning of randomized RNA overhangs into ligated products by either splinted ligation or loop-closing ligation. Comprehensive sequence-reactivity profiles revealed that loop-closing ligation preferentially yields hairpin structures with loop sequences UNNG, CNNG, and GNNA (where N represents A, C, G, or U) under competing conditions. In contrast, splinted ligation products tended to be GC rich. Notably, the overhang sequences that preferentially partition to loop-closing ligation significantly overlap with the most common biological tetraloops, whereas the overhangs favoring splinted ligation exhibit an inverse correlation with biological tetraloops. Applying these sequence rules enables the high-efficiency assembly of functional ribozymes from short RNAs without template inhibition. Our findings suggest that the RNA tetraloop structures that are common in biology may have been predisposed and prevalent in the prebiotic pool of RNAs, prior to the advent of Darwinian evolution. We suggest that the one-step prebiotic chemical process of loop-closing ligation could have favored the emergence of the first RNA functions.
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Affiliation(s)
- Long‐Fei Wu
- Howard Hughes Medical InstituteThe University of ChicagoChicagoIL 60637USA
- Current address: Frontiers Science Center for Transformative MoleculesSchool of Chemistry and Chemical EngineeringShanghai Jiao Tong UniversityShanghai200240China
| | | | | | - David A. Hendrix
- Department of Biochemistry and BiophysicsOregon State UniversityUSA
- School of Electrical Engineering and Computer ScienceOregon State UniversityUSA
| | | | - Jack W. Szostak
- Howard Hughes Medical InstituteThe University of ChicagoChicagoIL 60637USA
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5
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Duzdevich D, Carr CE, Colville BWF, Aitken HRM, Szostak JW. Overcoming nucleotide bias in the nonenzymatic copying of RNA templates. Nucleic Acids Res 2024; 52:13515-13529. [PMID: 39530216 DOI: 10.1093/nar/gkae982] [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: 08/05/2024] [Revised: 10/08/2024] [Accepted: 10/14/2024] [Indexed: 11/16/2024] Open
Abstract
The RNA World hypothesis posits that RNA was the molecule of both heredity and function during the emergence of life. This hypothesis implies that RNA templates can be copied, and ultimately replicated, without the catalytic aid of evolved enzymes. A major problem with nonenzymatic template-directed polymerization has been the very poor copying of sequences containing rA and rU. Here, we overcome that problem by using a prebiotically plausible mixture of RNA mononucleotides and random-sequence oligonucleotides, all activated by methyl isocyanide chemistry, that direct the uniform copying of arbitrary-sequence templates, including those harboring rA and rU. We further show that the use of this mixture in copying reactions suppresses copying errors while also generating a more uniform distribution of mismatches than observed for simpler systems. We find that oligonucleotide competition for template binding sites, oligonucleotide ligation and the template binding properties of reactant intermediates work together to reduce product sequence bias and errors. Finally, we show that iterative cycling of templated polymerization and activation chemistry improves the yields of random-sequence products. These results for random-sequence template copying are a significant advance in the pursuit of nonenzymatic RNA replication.
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Affiliation(s)
- Daniel Duzdevich
- Department of Chemistry, 5735 South Ellis Avenue, The University of Chicago, Chicago, IL 60637, USA
- Freiburg Institute for Advanced Studies, Albertstraße 19, Albert-Ludwigs-Universität Freiburg, 79104 Freiburg im Breisgau, Germany
| | - Christopher E Carr
- Daniel Guggenheim School of Aerospace Engineering, School of Earth and Atmospheric Sciences, 275 Ferst Drive NW, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Ben W F Colville
- Department of Chemistry, 5735 South Ellis Avenue, The University of Chicago, Chicago, IL 60637, USA
| | - Harry R M Aitken
- Department of Molecular Biology, Center for Computational and Integrative Biology, 185 Cambridge Street, Massachusetts General Hospital, Boston, MA 02114, USA
- Howard Hughes Medical Institute, 185 Cambridge Street, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jack W Szostak
- Department of Chemistry, 5735 South Ellis Avenue, The University of Chicago, Chicago, IL 60637, USA
- Howard Hughes Medical Institute, 5735 South Ellis Avenue, The University of Chicago, Chicago, IL 60637, USA
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6
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Quek S, Hadermann A, Wu Y, De Coninck L, Hegde S, Boucher JR, Cresswell J, Foreman E, Steven A, LaCourse EJ, Ward SA, Wanji S, Hughes GL, Patterson EI, Wagstaff SC, Turner JD, Parry RH, Kohl A, Heinz E, Otabil KB, Matthijnssens J, Colebunders R, Taylor MJ. Diverse RNA viruses of parasitic nematodes can elicit antibody responses in vertebrate hosts. Nat Microbiol 2024; 9:2488-2505. [PMID: 39232205 PMCID: PMC11445058 DOI: 10.1038/s41564-024-01796-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 07/25/2024] [Indexed: 09/06/2024]
Abstract
Parasitic nematodes have an intimate, chronic and lifelong exposure to vertebrate tissues. Here we mined 41 published parasitic nematode transcriptomes from vertebrate hosts and identified 91 RNA viruses across 13 virus orders from 24 families in ~70% (28 out of 41) of parasitic nematode species, which include only 5 previously reported viruses. We observe widespread distribution of virus-nematode associations across multiple continents, suggesting an ancestral acquisition event and host-virus co-evolution. Characterization of viruses of Brugia malayi (BMRV1) and Onchocerca volvulus (OVRV1) shows that these viruses are abundant in reproductive tissues of adult parasites. Importantly, the presence of BMRV1 RNA in B. malayi parasites mounts an RNA interference response against BMRV1 suggesting active viral replication. Finally, BMRV1 and OVRV1 were found to elicit antibody responses in serum samples from infected jirds and infected or exposed humans, indicating direct exposure to the immune system.
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Affiliation(s)
- Shannon Quek
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
| | - Amber Hadermann
- Global Health Institute, University of Antwerp, Antwerp, Belgium
| | - Yang Wu
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Lander De Coninck
- Laboratory of Viral Metagenomics, Clinical and Epidemiological Virology, Rega Institute, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Shrilakshmi Hegde
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Jordan R Boucher
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Jessica Cresswell
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Ella Foreman
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Andrew Steven
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - E James LaCourse
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Stephen A Ward
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Samuel Wanji
- Parasite and Vector Biology Research Unit, Department of Microbiology and Parasitology, Faculty of Science, University of Buea, Buea, Cameroon
- Research Foundation for Tropical Diseases and the Environment (REFOTDE), Buea, Cameroon
| | - Grant L Hughes
- Centre for Neglected Tropical Diseases, Departments of Tropical Disease Biology and Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Edward I Patterson
- Department of Biological Sciences, Brock University, St Catharines, Ontario, Canada
| | - Simon C Wagstaff
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Joseph D Turner
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Rhys H Parry
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Alain Kohl
- Centre for Neglected Tropical Diseases, Departments of Tropical Disease Biology and Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Eva Heinz
- Departments of Vector Biology and Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
- Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - Kenneth Bentum Otabil
- Consortium for Neglected Tropical Diseases and One Health, Department of Biological Sciences, University of Energy and Natural Resources, Sunyani, Ghana
| | - Jelle Matthijnssens
- Laboratory of Viral Metagenomics, Clinical and Epidemiological Virology, Rega Institute, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | | | - Mark J Taylor
- Centre for Neglected Tropical Diseases, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
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7
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Jia X, Fang Z, Kim SC, Ding D, Zhou L, Szostak JW. Diaminopurine in Nonenzymatic RNA Template Copying. J Am Chem Soc 2024; 146:15897-15907. [PMID: 38818863 PMCID: PMC11177312 DOI: 10.1021/jacs.4c02560] [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: 02/20/2024] [Revised: 05/07/2024] [Accepted: 05/22/2024] [Indexed: 06/01/2024]
Abstract
In the RNA World before the emergence of an RNA polymerase, nonenzymatic template copying would have been essential for the transmission of genetic information. However, the products of chemical copying with the canonical nucleotides (A, U, C, and G) are heavily biased toward the incorporation of G and C, which form a more stable base pair than A and U. We therefore asked whether replacing adenine (A) with diaminopurine (D) might lead to more efficient and less biased nonenzymatic template copying by making a stronger version of the A:U pair. As expected, primer extension substrates containing D bound to U in the template more tightly than substrates containing A. However, primer extension with D exhibited elevated reaction rates on a C template, leading to concerns about fidelity. Our crystallographic studies revealed the nature of the D:C mismatch by showing that D can form a wobble-type base pair with C. We then asked whether competition with G would decrease the mismatched primer extension. We performed nonenzymatic primer extension with all four activated nucleotides on randomized RNA templates containing all four letters and used deep sequencing to analyze the products. We found that the DUCG genetic system exhibited a more even product distribution and a lower mismatch frequency than the canonical AUCG system. Furthermore, primer extension is greatly reduced following all mismatches, including the D:C mismatch. Our study suggests that D deserves further attention for its possible role in the RNA World and as a potentially useful component of artificial nonenzymatic RNA replication systems.
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Affiliation(s)
- Xiwen Jia
- Department
of Chemistry and Chemical Biology, Harvard
University, 12 Oxford Street, Cambridge, Massachusetts 02138, United States
- Department
of Molecular Biology and Center for Computational and Integrative
Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, United States
- Howard
Hughes Medical Institute, Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Ziyuan Fang
- Howard
Hughes Medical Institute, Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Seohyun Chris Kim
- Department
of Chemistry and Chemical Biology, Harvard
University, 12 Oxford Street, Cambridge, Massachusetts 02138, United States
- Department
of Molecular Biology and Center for Computational and Integrative
Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, United States
- Department
of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Dian Ding
- Department
of Chemistry and Chemical Biology, Harvard
University, 12 Oxford Street, Cambridge, Massachusetts 02138, United States
- Department
of Molecular Biology and Center for Computational and Integrative
Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, United States
| | - Lijun Zhou
- Department
of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn
Institute
for RNA Innovation, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Jack W. Szostak
- Howard
Hughes Medical Institute, Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
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8
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Callaghan KL, Sherrell PC, Ellis AV. The Impact of Activating Agents on Non-Enzymatic Nucleic Acid Extension Reactions. Chembiochem 2024; 25:e202300859. [PMID: 38282207 DOI: 10.1002/cbic.202300859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/21/2024] [Accepted: 01/28/2024] [Indexed: 01/30/2024]
Abstract
Non-enzymatic template-directed primer extension is increasingly being studied for the production of RNA and DNA. These reactions benefit from producing RNA or DNA in an aqueous, protecting group free system, without the need for expensive enzymes. However, these primer extension reactions suffer from a lack of fidelity, low reaction rates, low overall yields, and short primer extension lengths. This review outlines a detailed mechanistic pathway for non-enzymatic template-directed primer extension and presents a review of the thermodynamic driving forces involved in entropic templating. Through the lens of entropic templating, the rate and fidelity of a reaction are shown to be intrinsically linked to the reactivity of the activating agent used. Thus, a strategy is discussed for the optimization of non-enzymatic template-directed primer extension, providing a path towards cost-effective in vitro synthesis of RNA and DNA.
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Affiliation(s)
- Kimberley L Callaghan
- Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia
| | - Peter C Sherrell
- Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia
- School of Science, RMIT University, Melbourne, Victoria, 3000, Australia
| | - Amanda V Ellis
- Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia
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9
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Tkachenko AV, Maslov S. Emergence of catalytic function in prebiotic information-coding polymers. eLife 2024; 12:RP91397. [PMID: 38530342 DOI: 10.7554/elife.91397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024] Open
Abstract
Life as we know it relies on the interplay between catalytic activity and information processing carried out by biological polymers. Here we present a plausible pathway by which a pool of prebiotic information-coding oligomers could acquire an early catalytic function, namely sequence-specific cleavage activity. Starting with a system capable of non-enzymatic templated replication, we demonstrate that even non-catalyzed spontaneous cleavage would promote proliferation by generating short fragments that act as primers. Furthermore, we show that catalytic cleavage function can naturally emerge and proliferate in this system. Specifically, a cooperative catalytic network with four subpopulations of oligomers is selected by the evolution in competition with chains lacking catalytic activity. The cooperative system emerges through the functional differentiation of oligomers into catalysts and their substrates. The model is inspired by the structure of the hammerhead RNA enzyme as well as other DNA- and RNA-based enzymes with cleavage activity that readily emerge through natural or artificial selection. We identify the conditions necessary for the emergence of the cooperative catalytic network. In particular, we show that it requires the catalytic rate enhancement over the spontaneous cleavage rate to be at least 102-103, a factor consistent with the existing experiments. The evolutionary pressure leads to a further increase in catalytic efficiency. The presented mechanism provides an escape route from a relatively simple pairwise replication of oligomers toward a more complex behavior involving catalytic function. This provides a bridge between the information-first origin of life scenarios and the paradigm of autocatalytic sets and hypercycles, albeit based on cleavage rather than synthesis of reactants.
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Affiliation(s)
- Alexei V Tkachenko
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, United States
| | - Sergei Maslov
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, United States
- Department of Physics, University of Illinois Urbana-Champaign, Urbana, United States
- Carl R Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, United States
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10
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Qiu Z, Yuan L, Lian CA, Lin B, Chen J, Mu R, Qiao X, Zhang L, Xu Z, Fan L, Zhang Y, Wang S, Li J, Cao H, Li B, Chen B, Song C, Liu Y, Shi L, Tian Y, Ni J, Zhang T, Zhou J, Zhuang WQ, Yu K. BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis. Nat Commun 2024; 15:2179. [PMID: 38467684 PMCID: PMC10928208 DOI: 10.1038/s41467-024-46539-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/01/2024] [Indexed: 03/13/2024] Open
Abstract
Metagenomic binning is an essential technique for genome-resolved characterization of uncultured microorganisms in various ecosystems but hampered by the low efficiency of binning tools in adequately recovering metagenome-assembled genomes (MAGs). Here, we introduce BASALT (Binning Across a Series of Assemblies Toolkit) for binning and refinement of short- and long-read sequencing data. BASALT employs multiple binners with multiple thresholds to produce initial bins, then utilizes neural networks to identify core sequences to remove redundant bins and refine non-redundant bins. Using the same assemblies generated from Critical Assessment of Metagenome Interpretation (CAMI) datasets, BASALT produces up to twice as many MAGs as VAMB, DASTool, or metaWRAP. Processing assemblies from a lake sediment dataset, BASALT produces ~30% more MAGs than metaWRAP, including 21 unique class-level prokaryotic lineages. Functional annotations reveal that BASALT can retrieve 47.6% more non-redundant opening-reading frames than metaWRAP. These results highlight the robust handling of metagenomic sequencing data of BASALT.
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Affiliation(s)
- Zhiguang Qiu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
| | - Li Yuan
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Chun-Ang Lian
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
| | - Bin Lin
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
| | - Jie Chen
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Rong Mu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Xuejiao Qiao
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Liyu Zhang
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Zheng Xu
- Southern University of Sciences and Technology Yantian Hospital, Shenzhen, China
- Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Lu Fan
- Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
| | - Yunzeng Zhang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, China
| | - Shanquan Wang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Junyi Li
- School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China
| | - Huiluo Cao
- Department of Microbiology, University of Hong Kong, Hong Kong, China
| | - Bing Li
- Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Baowei Chen
- Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-sen University, Zhuhai, China
| | - Chi Song
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Wuhan Benagen Technology Co., Ltd, Wuhan, China
| | - Yongxin Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Lili Shi
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Yonghong Tian
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China
- School of Electronic and Computer Engineering, Peking University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Jinren Ni
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China
- College of Environmental Sciences and Engineering, Key Laboratory of Water and Sediment Sciences, Ministry of Education, Peking University, Beijing, China
| | - Tong Zhang
- Department of Civil Engineering, University of Hong Kong, Hong Kong, China
| | - Jizhong Zhou
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA
| | - Wei-Qin Zhuang
- Department of Civil and Environmental Engineering, Faculty of Engineering, University of Auckland, Auckland, New Zealand
| | - Ke Yu
- Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China.
- AI for Science (AI4S)-Preferred Program, Peking University, Shenzhen, China.
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11
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Dantsu Y, Zhang Y, Zhang W. Insight into the structures of unusual base pairs in RNA complexes containing a primer/template/adenosine ligand. RSC Chem Biol 2023; 4:942-951. [PMID: 37920395 PMCID: PMC10619131 DOI: 10.1039/d3cb00137g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 08/29/2023] [Indexed: 11/04/2023] Open
Abstract
In the prebiotic RNA world, the self-replication of RNA without enzymes can be achieved through the utilization of 2-aminoimidazole activated nucleotides as efficient substrates. The mechanism of RNA nonenzymatic polymerization has been extensively investigated biophysically and structurally by using the model of an RNA primer/template complex which is bound by the imidazolium-bridged or triphosphate-bridged diguanosine intermediate. However, beyond the realm of the guanosine substrate, the structural insight into how alternative activated nucleotides bind and interact with the RNA primer/template complex remains unexplored, which is important for understanding the low reactivity of adenosine and uridine substrates in RNA primer extension, as well as its relationship with the structures. Here we use crystallography as a method and determine a series of high-resolution structures of RNA primer/template complexes bound by ApppG, a close analog of the dinucleotide intermediate containing adenosine and guanosine. The structures show that ApppG ligands bind to the RNA template through both Watson-Crick and noncanonical base pairs, with the primer 3'-OH group far from the adjacent phosphorus atom of the incoming substrate. The structures indicate that when adenosine is included in the imidazolium-bridged intermediate, the complexes are likely preorganized in a suboptimal conformation, making it difficult for the primer to in-line attack the substrate. Moreover, by co-crystallizing the RNA primer/template with chemically activated adenosine and guanosine monomers, we successfully observe the slow formation of the imidazolium-bridged intermediate (Ap-AI-pG) and the preorganized structure for RNA primer extension. Overall, our studies offer a structural explanation for the slow rate of RNA primer extension when using adenosine-5'-phosphoro-2-aminoimidazolide as a substrate during nonenzymatic polymerization.
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Affiliation(s)
- Yuliya Dantsu
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine Indianapolis IN 46202 USA
| | - Ying Zhang
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine Indianapolis IN 46202 USA
| | - Wen Zhang
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine Indianapolis IN 46202 USA
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12
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Dagar S, Sarkar S, Rajamani S. Nonenzymatic Template-Directed Primer Extension Using 2'-3' Cyclic Nucleotides Under Wet-Dry Cycles. ORIGINS LIFE EVOL B 2023; 53:43-60. [PMID: 37243884 DOI: 10.1007/s11084-023-09636-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 04/15/2023] [Indexed: 05/29/2023]
Abstract
RNA World Hypothesis is centred around the idea of a period in the early history of life's origin, wherein nonenzymatic oligomerization and replication of RNA resulted in functional ribozymes. Previous studies in this endeavour have demonstrated template-directed primer extension using chemically modified nucleotides and primers. Nonetheless, similar studies that used non-activated nucleotides led to the formation of RNA only with abasic sites. In this study, we report template-directed primer extension with prebiotically relevant cyclic nucleotides, under dehydration-rehydration (DH-RH) cycles occurring at high temperature (90 °C) and alkaline conditions (pH 8). 2'-3' cyclic nucleoside monophosphates (cNMP) resulted in primer extension, while 3'-5' cNMP failed to do so. Intact extension of up to two nucleotide additions was observed with both canonical hydroxy-terminated (OH-primer) and activated amino-terminated (NH2-primer) primers. We demonstrate primer extension reactions using both purine and pyrimidine 2'-3' cNMPs, with higher product yield observed during cAMP additions. Further, the presence of lipid was observed to significantly enhance the extended product in cCMP reactions. In all, our study provides a proof-of-concept for nonenzymatic primer extension of RNA, using intrinsically activated prebiotically relevant cyclic nucleotides as monomers.
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Affiliation(s)
- Shikha Dagar
- Department of Biology, Indian Institute of Science Education and Research, Pune, 411008, India
| | - Susovan Sarkar
- Department of Biology, Indian Institute of Science Education and Research, Pune, 411008, India
| | - Sudha Rajamani
- Department of Biology, Indian Institute of Science Education and Research, Pune, 411008, India.
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13
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Weiss Z, DasGupta S. REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments. Nucleic Acids Res 2022; 50:W639-W650. [PMID: 35699225 PMCID: PMC9252737 DOI: 10.1093/nar/gkac508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/22/2022] [Accepted: 05/27/2022] [Indexed: 11/14/2022] Open
Abstract
Next-generation sequencing (NGS) enables the identification of functional nucleic acid sequences from in vitro selection/evolution experiments and illuminates the evolutionary process at single-nucleotide resolution. However, analyzing the vast output from NGS can be daunting, especially with limited programming skills. We developed REVERSE (Rapid EValuation of Experimental RNA Selection/Evolution) (https://www.reverseserver.org/), a web server that implements an integrated computational pipeline through a graphical user interface, which performs both pre-processing and detailed sequence level analyses within minutes. Raw FASTQ files are quality-filtered, dereplicated, and trimmed before being analyzed by either of two pipelines. The first pipeline counts, sorts, and tracks enrichment of unique sequences and user-defined sequence motifs. It also identifies mutational intermediates present in the sequence data that connect two input sequences. The second pipeline sorts similar sequences into clusters and tracks enrichment of peak sequences. It also performs nucleotide conservation analysis on the cluster of choice and generates a consensus sequence. Both pipelines generate downloadable spreadsheets and high-resolution figures. Collectively, REVERSE is a one-stop solution for the rapid analysis of NGS data obtained from in vitro selection/evolution experiments that obviates the need for computational expertise.
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Affiliation(s)
- Zoe Weiss
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Saurja DasGupta
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA.,Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA 02114, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
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14
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Hickson J, Athayde LFA, Miranda TG, Junior PAS, Dos Santos AC, da Cunha Galvão LM, da Câmara ACJ, Bartholomeu DC, de Souza RDCM, Murta SMF, Nahum LA. Trypanosoma cruzi iron superoxide dismutases: insights from phylogenetics to chemotherapeutic target assessment. Parasit Vectors 2022; 15:194. [PMID: 35668508 PMCID: PMC9169349 DOI: 10.1186/s13071-022-05319-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/10/2022] [Indexed: 11/25/2022] Open
Abstract
Background Components of the antioxidant defense system in Trypanosoma cruzi are potential targets for new drug development. Superoxide dismutases (SODs) constitute key components of antioxidant defense systems, removing excess superoxide anions by converting them into oxygen and hydrogen peroxide. The main goal of the present study was to investigate the genes coding for iron superoxide dismutase (FeSOD) in T. cruzi strains from an evolutionary perspective. Methods In this study, molecular biology methods and phylogenetic studies were combined with drug assays. The FeSOD-A and FeSOD-B genes of 35 T. cruzi strains, belonging to six discrete typing units (Tcl–TcVI), from different hosts and geographical regions were amplified by PCR and sequenced using the Sanger method. Evolutionary trees were reconstructed based on Bayesian inference and maximum likelihood methods. Drugs that potentially interacted with T. cruzi FeSODs were identified and tested against the parasites. Results Our results suggest that T. cruzi FeSOD types are members of distinct families. Gene copies of FeSOD-A (n = 2), FeSOD-B (n = 4) and FeSOD-C (n = 4) were identified in the genome of the T. cruzi reference clone CL Brener. Phylogenetic inference supported the presence of two functional variants of each FeSOD type across the T. cruzi strains. Phylogenetic trees revealed a monophyletic group of FeSOD genes of T. cruzi TcIV strains in both distinct genes. Altogether, our results support the hypothesis that gene duplication followed by divergence shaped the evolution of T. cruzi FeSODs. Two drugs, mangafodipir and polaprezinc, that potentially interact with T. cruzi FeSODs were identified and tested in vitro against amastigotes and trypomastigotes: mangafodipir had a low trypanocidal effect and polaprezinc was inactive. Conclusions Our study contributes to a better understanding of the molecular biodiversity of T. cruzi FeSODs. Herein we provide a successful approach to the study of gene/protein families as potential drug targets. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-022-05319-2.
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Affiliation(s)
- Jéssica Hickson
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil
| | - Lucas Felipe Almeida Athayde
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil.,Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Thainá Godinho Miranda
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil.,Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Policarpo Ademar Sales Junior
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil
| | - Anderson Coqueiro Dos Santos
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Lúcia Maria da Cunha Galvão
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.,Department of Clinical and Toxicological Analysis, Federal University of Rio Grande do Norte State, Natal, Rio Grande do Norte, Brazil
| | - Antônia Cláudia Jácome da Câmara
- Department of Clinical and Toxicological Analysis, Federal University of Rio Grande do Norte State, Natal, Rio Grande do Norte, Brazil
| | - Daniella Castanheira Bartholomeu
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Rita de Cássia Moreira de Souza
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil
| | - Silvane Maria Fonseca Murta
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil.
| | - Laila Alves Nahum
- René Rachou Institute, Oswaldo Cruz Foundation (Functional genomics of parasites group; Biosystems informatics, bioengineering and genomic group), Belo Horizonte, Minas Gerais, Brazil. .,Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil. .,Promove College of Technology, Belo Horizonte, Minas Gerais, Brazil.
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15
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Jia TZ, Nishikawa S, Fujishima K. Sequencing the Origins of Life. BBA ADVANCES 2022; 2:100049. [PMID: 37082609 PMCID: PMC10074849 DOI: 10.1016/j.bbadva.2022.100049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/27/2022] [Accepted: 03/02/2022] [Indexed: 01/10/2023] Open
Abstract
One goal of origins of life research is to understand how primitive informational and catalytic biopolymers emerged and evolved. Recently, a number of sequencing techniques have been applied to analysis of replicating and evolving primitive biopolymer systems, providing a sequence-specific and high-resolution view of primitive chemical processes. Here, we review application of sequencing techniques to analysis of synthetic and primitive nucleic acids and polypeptides. This includes next-generation sequencing of primitive polymerization and evolution processes, followed by discussion of other novel biochemical techniques that could contribute to sequence analysis of primitive biopolymer driven chemical systems. Further application of sequencing to origins of life research, perhaps as a life detection technology, could provide insight into the origin and evolution of informational and catalytic biopolymers on early Earth or elsewhere.
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Affiliation(s)
- Tony Z. Jia
- Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- Blue Marble Space Institute of Science, 600 1st Ave, Floor 1, Seattle, WA 98104, USA
- Corresponding author
| | - Shota Nishikawa
- Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Kanagawa 226-8501, Japan
| | - Kosuke Fujishima
- Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa-shi, Kanagawa 252-0882, Japan
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16
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Abstract
GenBank® and the Sequence Read Archive (SRA) are comprehensive databases of publicly available DNA sequences. GenBank contains data for 480,000 named organisms, more than 176,000 within the embryophyta, obtained through submissions from individual laboratories and batch submissions from large-scale sequencing projects. SRA contains reads from next-generation sequencing studies from over 110,000 species. Daily data exchange with the European Nucleotide Archive (ENA) in Europe and the DNA Data Bank of Japan (DDBJ) ensures worldwide coverage for both databases. GenBank and SRA data are accessible through the NCBI Entrez retrieval system that integrates these data with other data at NCBI, such as genomes, taxonomy, and the biomedical literature. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. Usage scenarios for both GenBank and SRA ranging from local and cloud analyses to online analyses supported by the NCBI web-based tools are discussed. Both GenBank and SRA, along with their related retrieval and analysis services, are available from the NCBI homepage at www.ncbi.nlm.nih.gov .
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Affiliation(s)
- Eric W Sayers
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
| | - Chris O'Sullivan
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Ilene Karsch-Mizrachi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
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17
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Steger G, Victor J. Design of a DNAzyme : Prediction of mRNA Regions Accessible to a DNAzyme. Methods Mol Biol 2022; 2439:47-63. [PMID: 35226314 DOI: 10.1007/978-1-0716-2047-2_4] [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] [Indexed: 06/14/2023]
Abstract
The efficiency of RNA-cleaving DNAzymes depends on a large extent on complex formation with their RNA targets. We describe available prediction tools that should help in the design of efficient DNAzymes and show some experimental methods to test the predictions. The main example is for a 10-23 DNAzyme, but the procedure works as well for the 8-17 DNAzyme family.
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Affiliation(s)
- Gerhard Steger
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany.
| | - Julian Victor
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
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18
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Contreras-Moreira B, Naamati G, Rosello M, Allen JE, Hunt SE, Muffato M, Gall A, Flicek P. Scripting Analyses of Genomes in Ensembl Plants. Methods Mol Biol 2022; 2443:27-55. [PMID: 35037199 PMCID: PMC7614177 DOI: 10.1007/978-1-0716-2067-0_2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Ensembl Plants ( http://plants.ensembl.org ) offers genome-scale information for plants, with four releases per year. As of release 47 (April 2020) it features 79 species and includes genome sequence, gene models, and functional annotation. Comparative analyses help reconstruct the evolutionary history of gene families, genomes, and components of polyploid genomes. Some species have gene expression baseline reports or variation across genotypes. While the data can be accessed through the Ensembl genome browser, here we review specifically how our plant genomes can be interrogated programmatically and the data downloaded in bulk. These access routes are generally consistent across Ensembl for other non-plant species, including plant pathogens, pests, and pollinators.
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Affiliation(s)
- Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marc Rosello
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
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19
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Meller A, Boisvert FM. Mining Proteomics Datasets to Uncover Functional Pseudogenes. Methods Mol Biol 2022; 2456:241-251. [PMID: 35612746 DOI: 10.1007/978-1-0716-2124-0_16] [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: 10/18/2022]
Abstract
Analysis of the proteome, combined with the human genome sequence, improved gene annotation and confirmed that some genes are actually expressed as proteins, including pseudogenes, alternative reading frames, and additional protein isoforms. Although sequencing a genome is a challenge in itself, the annotation of all genes encoding proteins is a bigger one. Here, we describe an in silico approach to identify evidence of pseudogene expression, as well as an experimental approach for the validation of the protein encoded by pseudogenes, including the steps necessary to quantify these proteins. This technique enables a comprehensive analysis for the expression of genes into proteins that were not suspected of existing.
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Affiliation(s)
- Anna Meller
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Québec, QC, Canada
| | - François-Michel Boisvert
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Québec, QC, Canada.
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20
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Ding D, Zhou L, Giurgiu C, Szostak JW. Kinetic explanations for the sequence biases observed in the nonenzymatic copying of RNA templates. Nucleic Acids Res 2021; 50:35-45. [PMID: 34893864 PMCID: PMC8754633 DOI: 10.1093/nar/gkab1202] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/17/2021] [Accepted: 12/08/2021] [Indexed: 11/15/2022] Open
Abstract
The identification of nonenzymatic pathways for nucleic acid replication is a key challenge in understanding the origin of life. We have previously shown that nonenzymatic RNA primer extension using 2-aminoimidazole (2AI) activated nucleotides occurs primarily through an imidazolium-bridged dinucleotide intermediate. The reactive nature and preorganized structure of the intermediate increase the efficiency of primer extension but remain insufficient to drive extensive copying of RNA templates containing all four canonical nucleotides. To understand the factors that limit RNA copying, we synthesized all ten 2AI-bridged dinucleotide intermediates and measured the kinetics of primer extension in a model system. The affinities of the ten dinucleotides for the primer/template/helper complexes vary by over 7,000-fold, consistent with nearest neighbor energetic predictions. Surprisingly, the reaction rates at saturating intermediate concentrations still vary by over 15-fold, with the most weakly binding dinucleotides exhibiting a lower maximal reaction rate. Certain noncanonical nucleotides can decrease sequence dependent differences in affinity and primer extension rate, while monomers bridged to short oligonucleotides exhibit enhanced binding and reaction rates. We suggest that more uniform binding and reactivity of imidazolium-bridged intermediates may lead to the ability to copy arbitrary template sequences under prebiotically plausible conditions.
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Affiliation(s)
- Dian Ding
- Howard Hughes Medical Institute, Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, USA.,Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA
| | - Lijun Zhou
- Howard Hughes Medical Institute, Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, USA.,Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA
| | - Constantin Giurgiu
- Howard Hughes Medical Institute, Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, USA.,Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA
| | - Jack W Szostak
- Howard Hughes Medical Institute, Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, Massachusetts 02114, USA.,Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA.,Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA
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21
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Garg M, Li X, Moreno P, Papatheodorou I, Shu Y, Brazma A, Miao Z. Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses. Sci Rep 2021; 11:20833. [PMID: 34675242 PMCID: PMC8531356 DOI: 10.1038/s41598-021-00121-z] [Citation(s) in RCA: 9] [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: 05/01/2021] [Accepted: 09/28/2021] [Indexed: 01/07/2023] Open
Abstract
Several single-cell RNA sequencing (scRNA-seq) studies analyzing immune response to COVID-19 infection have been recently published. Most of these studies have small sample sizes, which limits the conclusions that can be made with high confidence. By re-analyzing these data in a standardized manner, we validated 8 of the 20 published results across multiple datasets. In particular, we found a consistent decrease in T-cells with increasing COVID-19 infection severity, upregulation of type I Interferon signal pathways, presence of expanded B-cell clones in COVID-19 patients but no consistent trend in T-cell clonal expansion. Overall, our results show that the conclusions drawn from scRNA-seq data analysis of small cohorts of COVID-19 patients need to be treated with some caution.
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Affiliation(s)
- Manik Garg
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Xu Li
- School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, China
| | - Pablo Moreno
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Yuelong Shu
- School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, China.
| | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
| | - Zhichao Miao
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
- Translational Research Institute of Brain and Brain-Like Intelligence and Department of Anesthesiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, 200081, China.
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22
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Systematic investigation of cytokine signaling activity at the tissue and single-cell levels. Nat Methods 2021; 18:1181-1191. [PMID: 34594031 PMCID: PMC8493809 DOI: 10.1038/s41592-021-01274-5] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/17/2021] [Indexed: 02/08/2023]
Abstract
Cytokines are critical for intercellular communication in human health and disease, but the investigation of cytokine signaling activity has remained challenging due to the short half-lives of cytokines and the complexity/redundancy of cytokine functions. To address these challenges, we developed the Cytokine Signaling Analyzer (CytoSig; https://cytosig.ccr.cancer.gov/ ), providing both a database of target genes modulated by cytokines and a predictive model of cytokine signaling cascades from transcriptomic profiles. We collected 20,591 transcriptome profiles for human cytokine, chemokine and growth factor responses. This atlas of transcriptional patterns induced by cytokines enabled the reliable prediction of signaling activities in distinct cell populations in infectious diseases, chronic inflammation and cancer using bulk and single-cell transcriptomic data. CytoSig revealed previously unidentified roles of many cytokines, such as BMP6 as an anti-inflammatory factor, and identified candidate therapeutic targets in human inflammatory diseases, such as CXCL8 for severe coronavirus disease 2019.
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23
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Duzdevich D, Carr CE, Ding D, Zhang SJ, Walton TS, Szostak JW. Competition between bridged dinucleotides and activated mononucleotides determines the error frequency of nonenzymatic RNA primer extension. Nucleic Acids Res 2021; 49:3681-3691. [PMID: 33744957 PMCID: PMC8053118 DOI: 10.1093/nar/gkab173] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 02/12/2021] [Accepted: 03/05/2021] [Indexed: 12/15/2022] Open
Abstract
Nonenzymatic copying of RNA templates with activated nucleotides is a useful model for studying the emergence of heredity at the origin of life. Previous experiments with defined-sequence templates have pointed to the poor fidelity of primer extension as a major problem. Here we examine the origin of mismatches during primer extension on random templates in the simultaneous presence of all four 2-aminoimidazole-activated nucleotides. Using a deep sequencing approach that reports on millions of individual template-product pairs, we are able to examine correct and incorrect polymerization as a function of sequence context. We have previously shown that the predominant pathway for primer extension involves reaction with imidazolium-bridged dinucleotides, which form spontaneously by the reaction of two mononucleotides with each other. We now show that the sequences of correctly paired products reveal patterns that are expected from the bridged dinucleotide mechanism, whereas those associated with mismatches are consistent with direct reaction of the primer with activated mononucleotides. Increasing the ratio of bridged dinucleotides to activated mononucleotides, either by using purified components or by using isocyanide-based activation chemistry, reduces the error frequency. Our results point to testable strategies for the accurate nonenzymatic copying of arbitrary RNA sequences.
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Affiliation(s)
- Daniel Duzdevich
- To whom correspondence should be addressed. Tel: +1 617 726 5102; Fax: +1 617 643 332;
| | - Christopher E Carr
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Dian Ding
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Stephanie J Zhang
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Travis S Walton
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jack W Szostak
- Department of Molecular Biology, Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
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Premzl M. Comparative genomic analysis of eutherian fibroblast growth factor genes. BMC Genomics 2020; 21:542. [PMID: 32758140 PMCID: PMC7430813 DOI: 10.1186/s12864-020-06958-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 07/29/2020] [Indexed: 12/14/2022] Open
Abstract
Background The eutherian fibroblast growth factors were implicated as key regulators in developmental processes. However, there were major disagreements in descriptions of comprehensive eutherian fibroblast growth factors gene data sets including either 18 or 22 homologues. The present analysis attempted to revise and update comprehensive eutherian fibroblast growth factor gene data sets, and address and resolve major discrepancies in their descriptions using eutherian comparative genomic analysis protocol and 35 public eutherian reference genomic sequence data sets. Results Among 577 potential coding sequences, the tests of reliability of eutherian public genomic sequences annotated most comprehensive curated eutherian third-party data gene data set of fibroblast growth factor genes including 267 complete coding sequences. The present study first described 8 superclusters including 22 eutherian fibroblast growth factor major gene clusters, proposing their updated classification and nomenclature. Conclusions The integrated gene annotations, phylogenetic analysis and protein molecular evolution analysis argued that comprehensive eutherian fibroblast growth factor gene data set classifications included 22 rather than 18 homologues.
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