1
|
Rubio A, Sprang M, Garzón A, Moreno-Rodriguez A, Pachón-Ibáñez ME, Pachón J, Andrade-Navarro MA, Pérez-Pulido AJ. Analysis of bacterial pangenomes reduces CRISPR dark matter and reveals strong association between membranome and CRISPR-Cas systems. SCIENCE ADVANCES 2023; 9:eadd8911. [PMID: 36961900 PMCID: PMC10038342 DOI: 10.1126/sciadv.add8911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
CRISPR-Cas systems are prokaryotic acquired immunity mechanisms, which are found in 40% of bacterial genomes. They prevent viral infections through small DNA fragments called spacers. However, the vast majority of these spacers have not yet been associated with the virus they recognize, and it has been named CRISPR dark matter. By analyzing the spacers of tens of thousands of genomes from six bacterial species, we have been able to reduce the CRISPR dark matter from 80% to as low as 15% in some of the species. In addition, we have observed that, when a genome presents CRISPR-Cas systems, this is accompanied by particular sets of membrane proteins. Our results suggest that when bacteria present membrane proteins that make it compete better in its environment and these proteins are, in turn, receptors for specific phages, they would be forced to acquire CRISPR-Cas.
Collapse
Affiliation(s)
- Alejandro Rubio
- Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Department), University Pablo de Olavide, 41013 Seville, Spain
| | - Maximilian Sprang
- Faculty of Biology, Johannes Gutenberg-Universität Mainz, Biozentrum I, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Andrés Garzón
- Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Department), University Pablo de Olavide, 41013 Seville, Spain
| | - Antonio Moreno-Rodriguez
- Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Department), University Pablo de Olavide, 41013 Seville, Spain
| | - Maria Eugenia Pachón-Ibáñez
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocío Hospital/CSIC/University of Seville, Seville, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Jerónimo Pachón
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocío Hospital/CSIC/University of Seville, Seville, Spain
- Department of Medicine, School of Medicine, University of Seville, Seville, Spain
| | - Miguel A. Andrade-Navarro
- Faculty of Biology, Johannes Gutenberg-Universität Mainz, Biozentrum I, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Antonio J. Pérez-Pulido
- Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Department), University Pablo de Olavide, 41013 Seville, Spain
| |
Collapse
|
2
|
Rubio A, Jimenez J, Pérez-Pulido AJ. Assessment of selection pressure exerted on genes from complete pangenomes helps to improve the accuracy in the prediction of new genes. Brief Bioinform 2022; 23:6519794. [PMID: 35108356 DOI: 10.1093/bib/bbac010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/21/2021] [Accepted: 01/10/2022] [Indexed: 11/14/2022] Open
Abstract
Bacterial genomes are massively sequenced, and they provide valuable data to better know the complete set of genes of a species. The analysis of thousands of bacterial strains can identify both shared genes and those appearing only in the pathogenic ones. Current computational gene finders facilitate this task but often miss some existing genes. However, the present availability of different genomes from the same species is useful to estimate the selective pressure applied on genes of complete pangenomes. It may assist in evaluating gene predictions either by checking the certainty of a new gene or annotating it as a gene under positive selection. Here, we estimated the selective pressure of 19 271 genes that are part of the pangenome of the human opportunistic pathogen Acinetobacter baumannii and found that most genes in this bacterium are subject to negative selection. However, 23% of them showed values compatible with positive selection. These latter were mainly uncharacterized proteins or genes required to evade the host defence system including genes related to resistance and virulence whose changes may be favoured to acquire new functions. Finally, we evaluated the utility of measuring selection pressure in the detection of sequencing errors and the validation of gene prediction.
Collapse
Affiliation(s)
- Alejandro Rubio
- Centro Andaluz de Biologia del Desarrollo (CABD, UPO-CSIC-JA), Facultad de Ciencias Experimentales (Área de Genética), Universidad Pablo de Olavide, Sevilla 41013, Spain
| | - Juan Jimenez
- Centro Andaluz de Biologia del Desarrollo (CABD, UPO-CSIC-JA), Facultad de Ciencias Experimentales (Área de Genética), Universidad Pablo de Olavide, Sevilla 41013, Spain
| | - Antonio J Pérez-Pulido
- Centro Andaluz de Biologia del Desarrollo (CABD, UPO-CSIC-JA), Facultad de Ciencias Experimentales (Área de Genética), Universidad Pablo de Olavide, Sevilla 41013, Spain
| |
Collapse
|
3
|
Ebou A, Koua D, Addablah A, Kakou-Ngazoa S, Dutertre S. Combined Proteotranscriptomic-Based Strategy to Discover Novel Antimicrobial Peptides from Cone Snails. Biomedicines 2021; 9:344. [PMID: 33805497 PMCID: PMC8066717 DOI: 10.3390/biomedicines9040344] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 12/21/2022] Open
Abstract
Despite their impressive diversity and already broad therapeutic applications, cone snail venoms have received less attention as a natural source in the investigation of antimicrobial peptides than other venomous animals such as scorpions, spiders, or snakes. Cone snails are among the largest genera (Conus sp.) of marine invertebrates, with more than seven hundred species described to date. These predatory mollusks use their sophisticated venom apparatus to capture prey or defend themselves. In-depth studies of these venoms have unraveled many biologically active peptides with pharmacological properties of interest in the field of pain management, the treatment of epilepsy, neurodegenerative diseases, and cardiac ischemia. Considering sequencing efficiency and affordability, cone snail venom gland transcriptome analyses could allow the discovery of new, promising antimicrobial peptides. We first present here the need for novel compounds like antimicrobial peptides as a viable alternative to conventional antibiotics. Secondly, we review the current knowledge on cone snails as a source of antimicrobial peptides. Then, we present the current state of the art in analytical methods applied to crude or milked venom followed by how antibacterial activity assay can be implemented for fostering cone snail antimicrobial peptides studies. We also propose a new innovative profile Hidden Markov model-based approach to annotate full venom gland transcriptomes and speed up the discovery of potentially active peptides from cone snails.
Collapse
Affiliation(s)
- Anicet Ebou
- Bioinformatic Team, Département Agriculture et Ressource Animales, UMRI 28, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro BP 1093, Ivory Coast;
| | - Dominique Koua
- Bioinformatic Team, Département Agriculture et Ressource Animales, UMRI 28, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro BP 1093, Ivory Coast;
| | - Audrey Addablah
- Plateforme de Biologie Moléculaire, Institut Pasteur de Côte d’Ivoire, Abidjan BP 490, Ivory Coast; (A.A.); (S.K.-N.)
| | - Solange Kakou-Ngazoa
- Plateforme de Biologie Moléculaire, Institut Pasteur de Côte d’Ivoire, Abidjan BP 490, Ivory Coast; (A.A.); (S.K.-N.)
| | - Sébastien Dutertre
- Institut des Biomolécules Max Mousseron, UMR 5247, Université de Montpellier, CNRS, ENSCM, 34095 Montpellier, France
| |
Collapse
|