2
|
Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives. Genes (Basel) 2022; 13:genes13040598. [PMID: 35456404 PMCID: PMC9031676 DOI: 10.3390/genes13040598] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/16/2022] [Accepted: 03/25/2022] [Indexed: 01/25/2023] Open
Abstract
Advances in sequencing technologies and bioinformatics tools have fueled a renewed interest in whole genome sequencing efforts in many organisms. The growing availability of multiple genome sequences has advanced our understanding of the within-species diversity, in the form of a pangenome. Pangenomics has opened new avenues for future research such as allowing dissection of complex molecular mechanisms and increased confidence in genome mapping. To comprehensively capture the genetic diversity for improving plant performance, the pangenome concept is further extended from species to genus level by the inclusion of wild species, constituting a super-pangenome. Characterization of pangenome has implications for both basic and applied research. The concept of pangenome has transformed the way biological questions are addressed. From understanding evolution and adaptation to elucidating host–pathogen interactions, finding novel genes or breeding targets to aid crop improvement to design effective vaccines for human prophylaxis, the increasing availability of the pangenome has revolutionized several aspects of biological research. The future availability of high-resolution pangenomes based on reference-level near-complete genome assemblies would greatly improve our ability to address complex biological problems.
Collapse
|
3
|
Nicholson TL, Waack U, Anderson TK, Bayles DO, Zaia SR, Goertz I, Eppinger M, Hau SJ, Brockmeier SL, Shore SM. Comparative Virulence and Genomic Analysis of Streptococcus suis Isolates. Front Microbiol 2021; 11:620843. [PMID: 33574803 PMCID: PMC7870872 DOI: 10.3389/fmicb.2020.620843] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
Streptococcus suis is a zoonotic bacterial swine pathogen causing substantial economic and health burdens to the pork industry. Mechanisms used by S. suis to colonize and cause disease remain unknown and vaccines and/or intervention strategies currently do not exist. Studies addressing virulence mechanisms used by S. suis have been complicated because different isolates can cause a spectrum of disease outcomes ranging from lethal systemic disease to asymptomatic carriage. The objectives of this study were to evaluate the virulence capacity of nine United States S. suis isolates following intranasal challenge in swine and then perform comparative genomic analyses to identify genomic attributes associated with swine-virulent phenotypes. No correlation was found between the capacity to cause disease in swine and the functional characteristics of genome size, serotype, sequence type (ST), or in vitro virulence-associated phenotypes. A search for orthologs found in highly virulent isolates and not found in non-virulent isolates revealed numerous predicted protein coding sequences specific to each category. While none of these predicted protein coding sequences have been previously characterized as potential virulence factors, this analysis does provide a reliable one-to-one assignment of specific genes of interest that could prove useful in future allelic replacement and/or functional genomic studies. Collectively, this report provides a framework for future allelic replacement and/or functional genomic studies investigating genetic characteristics underlying the spectrum of disease outcomes caused by S. suis isolates.
Collapse
Affiliation(s)
- Tracy L Nicholson
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
| | - Ursula Waack
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States.,Oak Ridge Institute for Science and Education, United States Department of Energy, Oak Ridge, TN, United States
| | - Tavis K Anderson
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
| | - Darrell O Bayles
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
| | - Sam R Zaia
- South Texas Center for Emerging Infectious Diseases, The University of Texas at San Antonio, San Antonio, TX, United States.,Department of Biology, University of Texas at San Antonio, San Antonio, TX, United States
| | - Isaiah Goertz
- South Texas Center for Emerging Infectious Diseases, The University of Texas at San Antonio, San Antonio, TX, United States.,Department of Biology, University of Texas at San Antonio, San Antonio, TX, United States
| | - Mark Eppinger
- South Texas Center for Emerging Infectious Diseases, The University of Texas at San Antonio, San Antonio, TX, United States.,Department of Biology, University of Texas at San Antonio, San Antonio, TX, United States
| | - Samantha J Hau
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States.,Oak Ridge Institute for Science and Education, United States Department of Energy, Oak Ridge, TN, United States
| | - Susan L Brockmeier
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
| | - Sarah M Shore
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
| |
Collapse
|
4
|
Anani H, Zgheib R, Hasni I, Raoult D, Fournier PE. Interest of bacterial pangenome analyses in clinical microbiology. Microb Pathog 2020; 149:104275. [PMID: 32562810 DOI: 10.1016/j.micpath.2020.104275] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/22/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022]
Abstract
Thanks to the progress and decreasing costs in genome sequencing technologies, more than 250,000 bacterial genomes are currently available in public databases, covering most, if not all, of the major human-associated phylogenetic groups of these microorganisms, pathogenic or not. In addition, for many of them, sequences from several strains of a given species are available, thus enabling to evaluate their genetic diversity and study their evolution. In addition, the significant cost reduction of bacterial whole genome sequencing as well as the rapid increase in the number of available bacterial genomes have prompted the development of pangenomic software tools. The study of bacterial pangenome has many applications in clinical microbiology. It can unveil the pathogenic potential and ability of bacteria to resist antimicrobials as well identify specific sequences and predict antigenic epitopes that allow molecular or serologic assays and vaccines to be designed. Bacterial pangenome constitutes a powerful method for understanding the history of human bacteria and relating these findings to diagnosis in clinical microbiology laboratories in order to optimize patient management.
Collapse
Affiliation(s)
- Hussein Anani
- Aix Marseille Univ, Institut de Recherche pour le Développement (IRD), Service de Santé des Armées, AP-HM, UMR Vecteurs Infections Tropicales et Méditerranéennes (VITROME), Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France; Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Rita Zgheib
- Aix Marseille Univ, Institut de Recherche pour le Développement (IRD), Service de Santé des Armées, AP-HM, UMR Vecteurs Infections Tropicales et Méditerranéennes (VITROME), Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France; Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Issam Hasni
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France; Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France
| | - Didier Raoult
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France; Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France; Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Pierre-Edouard Fournier
- Aix Marseille Univ, Institut de Recherche pour le Développement (IRD), Service de Santé des Armées, AP-HM, UMR Vecteurs Infections Tropicales et Méditerranéennes (VITROME), Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France; Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.
| |
Collapse
|
5
|
Inman JM, Sutton GG, Beck E, Brinkac LM, Clarke TH, Fouts DE. Large-scale comparative analysis of microbial pan-genomes using PanOCT. Bioinformatics 2019; 35:1049-1050. [PMID: 30165579 PMCID: PMC6419995 DOI: 10.1093/bioinformatics/bty744] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Accepted: 08/22/2018] [Indexed: 12/04/2022] Open
Abstract
Summary The JCVI pan-genome pipeline is a collection of programs to run PanOCT and tools that support and extend the capabilities of PanOCT. PanOCT (pan-genome ortholog clustering tool) is a tool for pan-genome analysis of closely related prokaryotic species or strains. The JCVI Pan-Genome Pipeline wrapper invokes command-line utilities that prepare input genomes, invoke third-party tools such as NCBI Blast+, run PanOCT, generate a consensus pan-genome, annotate features of the pan-genome, detect sets of genes of interest such as antimicrobial resistance (AMR) genes and generate figures, tables and html pages to visualize the results. The pipeline can run in a hierarchical mode, lowering the RAM and compute resources used. Availability and implementation Source code, demo data, and detailed documentation are freely available at https://github.com/JCVenterInstitute/PanGenomePipeline.
Collapse
Affiliation(s)
- Jason M Inman
- Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA
| | - Granger G Sutton
- Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA
| | - Erin Beck
- Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA
| | - Lauren M Brinkac
- Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA
| | - Thomas H Clarke
- Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA
| | - Derrick E Fouts
- Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA
| |
Collapse
|