1
|
Bouvier JW, Emms DM, Kelly S. Rubisco is evolving for improved catalytic efficiency and CO 2 assimilation in plants. Proc Natl Acad Sci U S A 2024; 121:e2321050121. [PMID: 38442173 PMCID: PMC10945770 DOI: 10.1073/pnas.2321050121] [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: 11/30/2023] [Accepted: 01/25/2024] [Indexed: 03/07/2024] Open
Abstract
Rubisco is the primary entry point for carbon into the biosphere. However, rubisco is widely regarded as inefficient leading many to question whether the enzyme can adapt to become a better catalyst. Through a phylogenetic investigation of the molecular and kinetic evolution of Form I rubisco we uncover the evolutionary trajectory of rubisco kinetic evolution in angiosperms. We show that rbcL is among the 1% of slowest-evolving genes and enzymes on Earth, accumulating one nucleotide substitution every 0.9 My and one amino acid mutation every 7.2 My. Despite this, rubisco catalysis has been continually evolving toward improved CO2/O2 specificity, carboxylase turnover, and carboxylation efficiency. Consistent with this kinetic adaptation, increased rubisco evolution has led to a concomitant improvement in leaf-level CO2 assimilation. Thus, rubisco has been slowly but continually evolving toward improved catalytic efficiency and CO2 assimilation in plants.
Collapse
Affiliation(s)
- Jacques W Bouvier
- Department of Biology, University of Oxford, Oxford OX1 3RB, United Kingdom
| | - David M Emms
- Department of Biology, University of Oxford, Oxford OX1 3RB, United Kingdom
| | - Steven Kelly
- Department of Biology, University of Oxford, Oxford OX1 3RB, United Kingdom
| |
Collapse
|
2
|
Aliperti L, Aptekmann AA, Farfañuk G, Couso LL, Soler-Bistué A, Sánchez IE. r/K selection of GC content in prokaryotes. Environ Microbiol 2023; 25:3255-3268. [PMID: 37813828 DOI: 10.1111/1462-2920.16511] [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: 02/27/2023] [Accepted: 09/16/2023] [Indexed: 10/11/2023]
Abstract
The guanine/cytosine (GC) content of prokaryotic genomes is species-specific, taking values from 16% to 77%. This diversity of selection for GC content remains contentious. We analyse the correlations between GC content and a range of phenotypic and genotypic data in thousands of prokaryotes. GC content integrates well with these traits into r/K selection theory when phenotypic plasticity is considered. High GC-content prokaryotes are r-strategists with cheaper descendants thanks to a lower average amino acid metabolic cost, colonize unstable environments thanks to flagella and a bacillus form and are generalists in terms of resource opportunism and their defence mechanisms. Low GC content prokaryotes are K-strategists specialized for stable environments that maintain homeostasis via a high-cost outer cell membrane and endospore formation as a response to nutrient deprivation, and attain a higher nutrient-to-biomass yield. The lower proteome cost of high GC content prokaryotes is driven by the association between GC-rich codons and cheaper amino acids in the genetic code, while the correlation between GC content and genome size may be partly due to functional diversity driven by r/K selection. In all, molecular diversity in the GC content of prokaryotes may be a consequence of ecological r/K selection.
Collapse
Affiliation(s)
- Lucio Aliperti
- Facultad de Ciencias Exactas y Naturales. Laboratorio de Fisiología de Proteínas, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Ariel A Aptekmann
- Marine and Coastal Sciences Department, Rutgers University, New Brunswick, New Jersey, USA
| | - Gonzalo Farfañuk
- Facultad de Ciencias Exactas y Naturales. Laboratorio de Fisiología de Proteínas, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Luciana L Couso
- Facultad de Agronomía, Cátedra de Genética, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Alfonso Soler-Bistué
- Instituto de Investigaciones Biotecnológicas Dr. Rodolfo A. Ugalde, CONICET, Universidad Nacional de San Martín, San Martin, Argentina
| | - Ignacio E Sánchez
- Facultad de Ciencias Exactas y Naturales. Laboratorio de Fisiología de Proteínas, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Universidad de Buenos Aires, Buenos Aires, Argentina
| |
Collapse
|
3
|
Weber M, Sogues A, Yus E, Burgos R, Gallo C, Martínez S, Lluch‐Senar M, Serrano L. Comprehensive quantitative modeling of translation efficiency in a genome-reduced bacterium. Mol Syst Biol 2023; 19:e11301. [PMID: 37642167 PMCID: PMC10568206 DOI: 10.15252/msb.202211301] [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: 08/16/2022] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/31/2023] Open
Abstract
Translation efficiency has been mainly studied by ribosome profiling, which only provides an incomplete picture of translation kinetics. Here, we integrated the absolute quantifications of tRNAs, mRNAs, RNA half-lives, proteins, and protein half-lives with ribosome densities and derived the initiation and elongation rates for 475 genes (67% of all genes), 73 with high precision, in the bacterium Mycoplasma pneumoniae (Mpn). We found that, although the initiation rate varied over 160-fold among genes, most of the known factors had little impact on translation efficiency. Local codon elongation rates could not be fully explained by the adaptation to tRNA abundances, which varied over 100-fold among tRNA isoacceptors. We provide a comprehensive quantitative view of translation efficiency, which suggests the existence of unidentified mechanisms of translational regulation in Mpn.
Collapse
Affiliation(s)
- Marc Weber
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Adrià Sogues
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Eva Yus
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Raul Burgos
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Carolina Gallo
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Sira Martínez
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Maria Lluch‐Senar
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Luis Serrano
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
- ICREABarcelonaSpain
| |
Collapse
|
4
|
Bouvier JW, Kelly S. Response to Tcherkez and Farquhar: Rubisco adaptation is more limited by phylogenetic constraint than by catalytic trade-off. JOURNAL OF PLANT PHYSIOLOGY 2023; 287:154021. [PMID: 37392528 DOI: 10.1016/j.jplph.2023.154021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 07/03/2023]
Abstract
Rubisco is the primary entry point for carbon into the biosphere. It has been widely proposed that rubisco is highly constrained by catalytic trade-offs due to correlations between the enzyme's kinetic traits across species. In previous work, we have shown that the strength of these correlations, and thus the strength of catalytic trade-offs, have been overestimated due to the presence of phylogenetic signal in the kinetic trait data (Bouvier et al., 2021). We demonstrated that only the trade-offs between the Michaelis constant for CO2 and carboxylase turnover, and between the Michaelis constants for CO2 and O2 were robust to phylogenetic effects. We further demonstrated that phylogenetic constraints have limited rubisco adaptation to a greater extent than the combined action of catalytic trade-offs. Recently, however, our claims have been contested by Tcherkez and Farquhar (2021), who have argued that the phylogenetic signal we detect in rubisco kinetic traits is an artefact of species sampling, the use of rbcL-based trees for phylogenetic inference, laboratory-to-laboratory variability in kinetic measurements, and homoplasy of the C4 trait. In the present article, we respond to these criticisms on a point-by-point basis and conclusively show that all are unfounded. As such, we stand by our original conclusions. Namely, although rubisco kinetic evolution has been limited by biochemical trade-offs, these are not absolute and have been previously overestimated due to phylogenetic biases. Instead, rubisco adaptation has in fact been more limited by phylogenetic constraint.
Collapse
Affiliation(s)
- Jacques W Bouvier
- Department of Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB, United Kingdom
| | - Steven Kelly
- Department of Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB, United Kingdom.
| |
Collapse
|
5
|
Oldrieve GR, Malacart B, López-Vidal J, Matthews KR. The genomic basis of host and vector specificity in non-pathogenic trypanosomatids. Biol Open 2022; 11:bio059237. [PMID: 35373253 PMCID: PMC9099014 DOI: 10.1242/bio.059237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/25/2022] [Indexed: 11/20/2022] Open
Abstract
Trypanosoma theileri, a non-pathogenic parasite of bovines, has a predicted surface protein architecture that likely aids survival in its mammalian host. Their surface proteins are encoded by genes which account for ∼10% of their genome. A non-pathogenic parasite of sheep, Trypanosoma melophagium, is transmitted by the sheep ked and is closely related to T. theileri. To explore host and vector specificity between these species, we sequenced the T. melophagium genome and transcriptome and an annotated draft genome was assembled. T. melophagium was compared to 43 kinetoplastid genomes, including T. theileri. T. melophagium and T. theileri have an AT biased genome, the greatest bias of publicly available trypanosomatids. This trend may result from selection acting to decrease the genomic nucleotide cost. The T. melophagium genome is 6.3Mb smaller than T. theileri and large families of proteins, characteristic of the predicted surface of T. theileri, were found to be absent or greatly reduced in T. melophagium. Instead, T. melophagium has modestly expanded protein families associated with the avoidance of complement-mediated lysis. We propose that the contrasting genomic features of these species is linked to their mode of transmission from their insect vector to their mammalian host. This article has an associated First Person interview with the first author of the paper.
Collapse
Affiliation(s)
- Guy R. Oldrieve
- Institute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK
| | | | | | | |
Collapse
|
6
|
Cost-Efficiency Optimization Serves as a Conserved Mechanism that Promotes Osteosarcoma in Mammals. J Mol Evol 2022; 90:139-148. [DOI: 10.1007/s00239-022-10047-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 01/06/2022] [Indexed: 10/19/2022]
|
7
|
Ferreira M, Ventorim R, Almeida E, Silveira S, Silveira W. Protein Abundance Prediction Through Machine Learning Methods. J Mol Biol 2021; 433:167267. [PMID: 34563548 DOI: 10.1016/j.jmb.2021.167267] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 10/20/2022]
Abstract
Proteins are responsible for most physiological processes, and their abundance provides crucial information for systems biology research. However, absolute protein quantification, as determined by mass spectrometry, still has limitations in capturing the protein pool. Protein abundance is impacted by translation kinetics, which rely on features of codons. In this study, we evaluated the effect of codon usage bias of genes on protein abundance. Notably, we observed differences regarding codon usage patterns between genes coding for highly abundant proteins and genes coding for less abundant proteins. Analysis of synonymous codon usage and evolutionary selection showed a clear split between the two groups. Our machine learning models predicted protein abundances from codon usage metrics with remarkable accuracy, achieving strong correlation with experimental data. Upon integration of the predicted protein abundance in enzyme-constrained genome-scale metabolic models, the simulated phenotypes closely matched experimental data, which demonstrates that our predictive models are valuable tools for systems metabolic engineering approaches.
Collapse
Affiliation(s)
- Mauricio Ferreira
- Department of Microbiology, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil. https://twitter.com/@mauriciomyces
| | - Rafaela Ventorim
- Department of Microbiology, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil.
| | - Eduardo Almeida
- Department of Microbiology, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil. https://twitter.com/@elm_almeida
| | - Sabrina Silveira
- Department of Computer Science, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil. https://twitter.com/@sabrina_as
| | - Wendel Silveira
- Department of Microbiology, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil.
| |
Collapse
|
8
|
Zhang Y, Jin X, Wang H, Miao Y, Yang X, Jiang W, Yin B. Compelling Evidence Suggesting the Codon Usage of SARS-CoV-2 Adapts to Human After the Split From RaTG13. Evol Bioinform Online 2021; 17:11769343211052013. [PMID: 34646060 PMCID: PMC8504689 DOI: 10.1177/11769343211052013] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 09/17/2021] [Indexed: 11/17/2022] Open
Abstract
SARS-CoV-2 needs to efficiently make use of the resources from hosts in order to survive and propagate. Among the multiple layers of regulatory network, mRNA translation is the rate-limiting step in gene expression. Synonymous codon usage usually conforms with tRNA concentration to allow fast decoding during translation. It is acknowledged that SARS-CoV-2 has adapted to the codon usage of human lungs so that the virus could rapidly proliferate in the lung environment. While this notion seems to nicely explain the adaptation of SARS-CoV-2 to lungs, it is unable to tell why other viruses do not have this advantage. In this study, we retrieve the GTEx RNA-seq data for 30 tissues (belonging to over 17 000 individuals). We calculate the RSCU (relative synonymous codon usage) weighted by gene expression in each human sample, and investigate the correlation of RSCU between the human tissues and SARS-CoV-2 or RaTG13 (the closest coronavirus to SARS-CoV-2). Lung has the highest correlation of RSCU to SARS-CoV-2 among all tissues, suggesting that the lung environment is generally suitable for SARS-CoV-2. Interestingly, for most tissues, SARS-CoV-2 has higher correlations with the human samples compared with the RaTG13-human correlation. This difference is most significant for lungs. In conclusion, the codon usage of SARS-CoV-2 has adapted to human lungs to allow fast decoding and translation. This adaptation probably took place after SARS-CoV-2 split from RaTG13 because RaTG13 is less perfectly correlated with human. This finding depicts the trajectory of adaptive evolution from ancestral sequence to SARS-CoV-2, and also well explains why SARS-CoV-2 rather than other viruses could perfectly adapt to human lung environment.
Collapse
Affiliation(s)
- Yanping Zhang
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xiaojie Jin
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| | - Haiyan Wang
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yaoyao Miao
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xiaoping Yang
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| | - Wenqing Jiang
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| | - Bin Yin
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, Shandong, China
- The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, Shandong, China
| |
Collapse
|
9
|
Mehrshad M, Lopez-Fernandez M, Sundh J, Bell E, Simone D, Buck M, Bernier-Latmani R, Bertilsson S, Dopson M. Energy efficiency and biological interactions define the core microbiome of deep oligotrophic groundwater. Nat Commun 2021; 12:4253. [PMID: 34253732 PMCID: PMC8275790 DOI: 10.1038/s41467-021-24549-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 06/23/2021] [Indexed: 02/06/2023] Open
Abstract
While oligotrophic deep groundwaters host active microbes attuned to the low-end of the bioenergetics spectrum, the ecological constraints on microbial niches in these ecosystems and their consequences for microbiome convergence are unknown. Here, we provide a genome-resolved, integrated omics analysis comparing archaeal and bacterial communities in disconnected fracture fluids of the Fennoscandian Shield in Europe. Leveraging a dataset that combines metagenomes, single cell genomes, and metatranscriptomes, we show that groundwaters flowing in similar lithologies offer fixed niches that are occupied by a common core microbiome. Functional expression analysis highlights that these deep groundwater ecosystems foster diverse, yet cooperative communities adapted to this setting. We suggest that these communities stimulate cooperation by expression of functions related to ecological traits, such as aggregate or biofilm formation, while alleviating the burden on microorganisms producing compounds or functions that provide a collective benefit by facilitating reciprocal promiscuous metabolic partnerships with other members of the community. We hypothesize that an episodic lifestyle enabled by reversible bacteriostatic functions ensures the subsistence of the oligotrophic deep groundwater microbiome.
Collapse
Affiliation(s)
- Maliheh Mehrshad
- grid.8993.b0000 0004 1936 9457Department of Ecology and Genetics, Limnology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden ,grid.6341.00000 0000 8578 2742Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Margarita Lopez-Fernandez
- grid.8148.50000 0001 2174 3522Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, Sweden ,grid.4489.10000000121678994Present Address: Department of Microbiology, University of Granada, Granada, Spain
| | - John Sundh
- grid.10548.380000 0004 1936 9377Dept of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden
| | - Emma Bell
- grid.5333.60000000121839049Environmental Microbiology Laboratory, Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland ,grid.22072.350000 0004 1936 7697Present Address: Department of Biological Sciences, University of Calgary, Calgary, Alberta Canada
| | - Domenico Simone
- grid.8148.50000 0001 2174 3522Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, Sweden ,grid.6341.00000 0000 8578 2742SLU Bioinformatics Infrastructure, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Moritz Buck
- grid.6341.00000 0000 8578 2742Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Rizlan Bernier-Latmani
- grid.5333.60000000121839049Environmental Microbiology Laboratory, Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Stefan Bertilsson
- grid.8993.b0000 0004 1936 9457Department of Ecology and Genetics, Limnology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden ,grid.6341.00000 0000 8578 2742Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Mark Dopson
- grid.8148.50000 0001 2174 3522Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, Sweden
| |
Collapse
|
10
|
Bardozzo F, Lió P, Tagliaferri R. Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. Bioinformatics 2021; 37:1411-1419. [PMID: 33185666 DOI: 10.1093/bioinformatics/btaa966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 09/25/2020] [Accepted: 11/03/2020] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION One of the branches of Systems Biology is focused on a deep understanding of underlying regulatory networks through the analysis of the biomolecules oscillations and their interplay. Synthetic Biology exploits gene or/and protein regulatory networks towards the design of oscillatory networks for producing useful compounds. Therefore, at different levels of application and for different purposes, the study of biomolecular oscillations can lead to different clues about the mechanisms underlying living cells. It is known that network-level interactions involve more than one type of biomolecule as well as biological processes operating at multiple omic levels. Combining network/pathway-level information with genetic information it is possible to describe well-understood or unknown bacterial mechanisms and organism-specific dynamics. RESULTS Following the methodologies used in signal processing and communication engineering, a methodology is introduced to identify and quantify the extent of multi-omic oscillations. These are due to the process of multi-omic integration and depend on the gene positions on the chromosome. Ad hoc signal metrics are designed to allow further biotechnological explanations and provide important clues about the oscillatory nature of the pathways and their regulatory circuits. Our algorithms designed for the analysis of multi-omic signals are tested and validated on 11 different bacteria for thousands of multi-omic signals perturbed at the network level by different experimental conditions. Information on the order of genes, codon usage, gene expression and protein molecular weight is integrated at three different functional levels. Oscillations show interesting evidence that network-level multi-omic signals present a synchronized response to perturbations and evolutionary relations along taxa. AVAILABILITY AND IMPLEMENTATION The algorithms, the code (in language R), the tool, the pipeline and the whole dataset of multi-omic signal metrics are available at: https://github.com/lodeguns/Multi-omicSignals. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
| | - Pietro Lió
- Computer Laboratory, University of Cambridge, Cambridge CB3 0FD, UK
| | | |
Collapse
|
11
|
Bouvier JW, Emms DM, Rhodes T, Bolton JS, Brasnett A, Eddershaw A, Nielsen JR, Unitt A, Whitney SM, Kelly S. Rubisco Adaptation Is More Limited by Phylogenetic Constraint Than by Catalytic Trade-off. Mol Biol Evol 2021; 38:2880-2896. [PMID: 33739416 PMCID: PMC8233502 DOI: 10.1093/molbev/msab079] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Rubisco assimilates CO2 to form the sugars that fuel life on earth. Correlations between rubisco kinetic traits across species have led to the proposition that rubisco adaptation is highly constrained by catalytic trade-offs. However, these analyses did not consider the phylogenetic context of the enzymes that were analyzed. Thus, it is possible that the correlations observed were an artefact of the presence of phylogenetic signal in rubisco kinetics and the phylogenetic relationship between the species that were sampled. Here, we conducted a phylogenetically resolved analysis of rubisco kinetics and show that there is a significant phylogenetic signal in rubisco kinetic traits. We re-evaluated the extent of catalytic trade-offs accounting for this phylogenetic signal and found that all were attenuated. Following phylogenetic correction, the largest catalytic trade-offs were observed between the Michaelis constant for CO2 and carboxylase turnover (∼21-37%), and between the Michaelis constants for CO2 and O2 (∼9-19%), respectively. All other catalytic trade-offs were substantially attenuated such that they were marginal (<9%) or non-significant. This phylogenetically resolved analysis of rubisco kinetic evolution also identified kinetic changes that occur concomitant with the evolution of C4 photosynthesis. Finally, we show that phylogenetic constraints have played a larger role than catalytic trade-offs in limiting the evolution of rubisco kinetics. Thus, although there is strong evidence for some catalytic trade-offs, rubisco adaptation has been more limited by phylogenetic constraint than by the combined action of all catalytic trade-offs.
Collapse
Affiliation(s)
- Jacques W Bouvier
- Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
- Doctoral Training Centre, University of Oxford, Oxford, United Kingdom
| | - David M Emms
- Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
| | - Timothy Rhodes
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - Jai S Bolton
- Doctoral Training Centre, University of Oxford, Oxford, United Kingdom
| | - Amelia Brasnett
- Doctoral Training Centre, University of Oxford, Oxford, United Kingdom
| | - Alice Eddershaw
- Doctoral Training Centre, University of Oxford, Oxford, United Kingdom
| | - Jochem R Nielsen
- Doctoral Training Centre, University of Oxford, Oxford, United Kingdom
| | - Anastasia Unitt
- Doctoral Training Centre, University of Oxford, Oxford, United Kingdom
| | - Spencer M Whitney
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - Steven Kelly
- Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
12
|
Zhao S, Song S, Qi Q, Lei W. Cost-efficiency tradeoff is optimized in various cancer types revealed by genome-wide analysis. Mol Genet Genomics 2021; 296:369-378. [PMID: 33449159 DOI: 10.1007/s00438-020-01747-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/16/2020] [Indexed: 02/06/2023]
Abstract
The tradeoff between cost and efficiency is omnipresent in organisms. Specifically, how the evolutionary force shapes the tradeoff between biosynthetic cost and translation efficiency remains unclear. In the cancer community, whether the adjustment of cost-efficiency tradeoff acts as a strategy to facilitate tumor proliferation and contributes to oncogenesis is uninvestigated. To address this issue, we retrieved the gene expression profile in various cancer types and the matched normal samples from The Cancer Genome Atlas (TCGA). We found that the highly expressed genes in cancers generally have higher tAI/nitro ratios than those in normal samples. This is possibly caused by the higher tAI/nitro ratios observed in oncogenes than tumor suppressor genes (TSG). Furthermore, in the cancer samples, derived mutations in oncogenes usually lead to higher tAI/nitro ratios, while those mutations in TSG lead to lower tAI/nitro. For a special case of kidney cancer, we investigated several crucial genes in tumor samples versus normal samples, and discovered that the changes in tAI/nitro ratios are correlated with the changes in translation level. Our study for the first time revealed the optimization of cost-efficiency tradeoff in cancers. The cost-efficiency dilemma is optimized by the tumor cells, and is possibly beneficial for the translation and production of oncogenes, and eventually contributes to proliferation and oncogenesis. Our findings could provide novel perspectives in depicting the cancer genomes and might help unravel the cancer evolution.
Collapse
Affiliation(s)
- Shufen Zhao
- Department of Oncological Radiotherapy, Affiliated Hospital of Medical College Qingdao University, Shandong, China
| | - Shanai Song
- Department of Oncological Radiotherapy, Affiliated Hospital of Medical College Qingdao University, Shandong, China
| | - Qi Qi
- Department of Oncological Radiotherapy, Affiliated Hospital of Medical College Qingdao University, Shandong, China
| | - Wei Lei
- Department of Oncological Radiotherapy, Affiliated Hospital of Medical College Qingdao University, Shandong, China.
| |
Collapse
|
13
|
Krogh TJ, Franke A, Møller-Jensen J, Kaleta C. Elucidating the Influence of Chromosomal Architecture on Transcriptional Regulation in Prokaryotes - Observing Strong Local Effects of Nucleoid Structure on Gene Regulation. Front Microbiol 2020; 11:2002. [PMID: 32983020 PMCID: PMC7491251 DOI: 10.3389/fmicb.2020.02002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 07/29/2020] [Indexed: 11/13/2022] Open
Abstract
Both intrinsic and extrinsic mechanisms regulating bacterial expression have been elucidated and described, however, such studies have mainly focused on local effects on the two-dimensional structure of the prokaryote genome while long-range as well as spatial interactions influencing gene expression are still only poorly understood. In this paper, we investigate the association between co-expression and distance between genes, using RNA-seq data at multiple growth phases in order to illuminate whether such conserved patterns are an indication of a gene regulatory mechanism relevant for prokaryotic cell proliferation, adaption, and evolution. We observe recurrent sinusoidal patterns in correlation of pairwise expression as function of genomic distance and rule out that these are caused by transcription-induced supercoiling gradients, gene clustering in operons, or association with regulatory transcription factors (TFs). By comparing spatial proximity for pairs of genomic bins with their correlation of pairwise expression, we further observe a high co-expression proportional with the spatial proximity. Based on these observations, we propose that the observed patterns are related to nucleoid structure as a product of transcriptional spilling, where genes actively influence transcription of spatially proximal genes through increases within shared local pools of RNA polymerases (RNAP), and actively spilling transcription onto neighboring genes.
Collapse
Affiliation(s)
- Thøger Jensen Krogh
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Andre Franke
- Institute of Clinical Molecular Biology (IKMB), Christian-Albrechts-University Kiel, Kiel, Germany
| | - Jakob Møller-Jensen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Christoph Kaleta
- Institute of Experimental Medicine, Christian-Albrechts-University Kiel, Kiel, Germany
| |
Collapse
|
14
|
Interplay between Position-Dependent Codon Usage Bias and Hydrogen Bonding at the 5' End of ORFeomes. mSystems 2020; 5:5/4/e00613-20. [PMID: 32788408 PMCID: PMC7426154 DOI: 10.1128/msystems.00613-20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Codon usage bias exerts control over a wide variety of molecular processes. The positioning of synonymous codons within coding sequences (CDSs) dictates protein expression by mechanisms such as local translation efficiency, mRNA Gibbs free energy, and protein cotranslational folding. In this work, we explore how codon usage affects the position-dependent content of hydrogen bonding, which in turn influences energy requirements for unwinding double-stranded DNA (dsDNA). We categorized codons according to their hydrogen bond content and found differential effects on hydrogen bonding encoded by codon variants. The specific positional disposition of codon variants within CDSs creates a ramp of hydrogen bonding at the 5' end of the ORFeome in Escherichia coli CDSs occupying the first position of operons are subjected to selective pressure that reduces their hydrogen bonding compared to internal CDSs, and highly transcribed CDSs demand a lower maximum capacity of hydrogen bonds per codon, suggesting that the energetic requirement for unwinding the dsDNA in highly transcribed CDSs has evolved to be minimized in E. coli Subsequent analysis of over 14,000 ORFeomes showed a pervasive ramp of hydrogen bonding at the 5' end in Bacteria and Archaea that positively correlates with the probability of mRNA secondary structure formation. Both the ramp and the correlation were not found in Fungi The position-dependent hydrogen bonding might be part of the mechanism that contributes to the coordination between transcription and translation in Bacteria and Archaea A Web-based application to analyze the position-dependent hydrogen bonding of ORFeomes has been developed and is publicly available (https://juanvillada.shinyapps.io/hbonds/).IMPORTANCE Redundancy of the genetic code creates a vast space of alternatives to encode a protein. Synonymous codons exert control over a variety of molecular and physiological processes of cells mainly through influencing protein biosynthesis. Recent findings have shown that synonymous codon choice affects transcription by controlling mRNA abundance, mRNA stability, transcription termination, and transcript biosynthesis cost. In this work, by analyzing thousands of Bacteria, Archaea, and Fungi genomes, we extend recent findings by showing that synonymous codon choice, corresponding to the number of hydrogen bonds in a codon, can also have an effect on the energetic requirements for unwinding double-stranded DNA in a position-dependent fashion. This report offers new perspectives on the mechanism behind the transcription-translation coordination and complements previous hypotheses on the resource allocation strategies used by Bacteria and Archaea to manage energy efficiency in gene expression.
Collapse
|
15
|
Genomic Evidence for Simultaneous Optimization of Transcription and Translation through Codon Variants in the pmoCAB Operon of Type Ia Methanotrophs. mSystems 2019; 4:4/4/e00342-19. [PMID: 31337658 PMCID: PMC6650546 DOI: 10.1128/msystems.00342-19] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Microbial methane oxidation plays a fundamental role in the biogeochemical cycle of Earth’s system. Recent reports have provided evidence for the acquisition of methane monooxygenases by horizontal gene transfer in methane-oxidizing bacteria from different environments, but how evolution has shaped the coding sequences to execute methanotrophy efficiently remains unexplored. In this work, we provide genomic evidence that among the different types of methanotrophs, type Ia methanotrophs possess a unique coding sequence of the pmoCAB operon that is under positive selection for optimal resource allocation and efficient synthesis of transcripts and proteins. This adaptive trait possibly enables type Ia methanotrophs to respond robustly to fluctuating methane availability and explains their global prevalence. Understanding the interplay between genotype and phenotype is a fundamental goal of functional genomics. Methane oxidation is a microbial phenotype with global-scale significance as part of the carbon biogeochemical cycle and a sink for greenhouse gas. Microorganisms that oxidize methane (methanotrophs) are taxonomically diverse and widespread around the globe. In methanotrophic bacteria, enzymes in the methane oxidation metabolic module (KEGG module M00174, conversion of methane to formaldehyde) are encoded in four operons (pmoCAB, mmoXYZBCD, mxaFI, and xoxF). Recent reports have suggested that methanotrophs in Proteobacteria acquired methane monooxygenases through horizontal gene transfer. Here, we used a genomic meta-analysis to infer the transcriptional and translational advantages of coding sequences from the methane oxidation metabolic modules of different types of methanotrophs. By analyzing isolate and metagenome-assembled genomes from phylogenetically and geographically diverse sources, we detected an anomalous nucleotide composition bias in the coding sequences of particulate methane monooxygenase genes (pmoCAB) from type Ia methanotrophs. We found that this nucleotide bias increases the level of codon bias by decreasing the GC content in the third base of codons, a strategy that contrasts with that of other coding sequences in the module. Further codon usage analyses uncovered that codon variants of the type Ia pmoCAB coding sequences deviate from the genomic signature to match ribosomal protein-coding sequences. Subsequently, computation of transcription and translation metrics revealed that the pmoCAB coding sequences of type Ia methanotrophs optimize the usage of codon variants to maximize translation efficiency and accuracy, while minimizing the synthesis cost of transcripts and proteins. IMPORTANCE Microbial methane oxidation plays a fundamental role in the biogeochemical cycle of Earth’s system. Recent reports have provided evidence for the acquisition of methane monooxygenases by horizontal gene transfer in methane-oxidizing bacteria from different environments, but how evolution has shaped the coding sequences to execute methanotrophy efficiently remains unexplored. In this work, we provide genomic evidence that among the different types of methanotrophs, type Ia methanotrophs possess a unique coding sequence of the pmoCAB operon that is under positive selection for optimal resource allocation and efficient synthesis of transcripts and proteins. This adaptive trait possibly enables type Ia methanotrophs to respond robustly to fluctuating methane availability and explains their global prevalence.
Collapse
|
16
|
Sands TR. Evolutionary genomics: the fruits of genomic approaches applied to evolutionary biology. Genome Biol 2019; 20:10. [PMID: 30630506 PMCID: PMC6329088 DOI: 10.1186/s13059-018-1615-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
|