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Sivasankaran SK, Bearson BL, Trachsel JM, Nielsen DW, Looft T, Bearson SMD. Genomic and phenotypic characterization of multidrug-resistant Salmonella enterica serovar Reading isolates involved in a turkey-associated foodborne outbreak. Front Microbiol 2024; 14:1304029. [PMID: 38304860 PMCID: PMC10830755 DOI: 10.3389/fmicb.2023.1304029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/20/2023] [Indexed: 02/03/2024] Open
Abstract
Salmonella is a global bacterial foodborne pathogen associated with a variety of contaminated food products. Poultry products are a common source of Salmonella-associated foodborne illness, and an estimated 7% of human illnesses in the United States are attributed to turkey products. From November 2017 to March 2019, the Centers for Disease Control and Prevention reported a turkey-associated outbreak of multidrug-resistant (MDR; resistant to ≥3 antimicrobial classes) Salmonella enterica serovar Reading (S. Reading) linked to 358 human infections in 42 US states and Canada. Since S. Reading was seldom linked to human illness prior to this outbreak, the current study compared genomic sequences of S. Reading isolates prior to the outbreak (pre-outbreak) to isolates identified during the outbreak period, focusing on genes that were different between the two groups but common within a group. Following whole-genome sequence analysis of five pre-outbreak and five outbreak-associated turkey/turkey product isolates of S. Reading, 37 genes located within two distinct chromosomal regions were identified only in the pre-outbreak isolates: (1) an ~5 kb region containing four protein-coding genes including uidA which encodes beta-glucuronidase, pgdA encoding peptidoglycan deacetylase, and two hypothetical proteins and (2) an ~28 kb region comprised of 32 phage-like genes and the xerC gene, which encodes tyrosine recombinase (frequently associated with phage genes). The five outbreak isolates also had a deletional event within the cirA gene, introducing a translational frame shift and premature stop codon. The cirA gene encodes a protein with dual receptor functions: a siderophore receptor for transport of dihydroxybenzoylserine as well as a colicin Ia/b receptor. Significant differences for the identified genetic variations were also detected in 75 S. Reading human isolates. Of the 41 S. Reading isolates collected before or in 2017, 81 and 90% of the isolates contained the uidA and pgdA genes, respectively, but only 24% of the isolates collected after 2017 harbored the uidA and pgdA genes. The truncation event within the cirA gene was also significantly higher in isolates collected after 2017 (74%) compared to before or in 2017 (5%). Phenotypic analysis of the S. Reading isolates for colicin and cefiderocol sensitivities (CirA) and β-methyl-D-glucuronic acid utilization (UidA and accessory proteins) supported the genomic data. Overall, a similar genome reduction pattern was generally observed in both the turkey and human isolates of S. Reading during the outbreak period, and the genetic differences were present in genes that could potentially promote pathogen dissemination due to variation in Salmonella colonization, fitness, and/or virulence.
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Affiliation(s)
- Sathesh K. Sivasankaran
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA, United States
- Genome Informatics Facility, Iowa State University, Ames, IA, United States
| | - Bradley L. Bearson
- Agroecosystems Management Research Unit, USDA, ARS, National Laboratory for Agriculture and the Environment, Ames, IA, United States
| | - Julian M. Trachsel
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA, United States
| | - Daniel W. Nielsen
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA, United States
- ARS Research Participation Program, Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, United States
| | - Torey Looft
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA, United States
| | - Shawn M. D. Bearson
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA, United States
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2
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Wiarda JE, Becker SR, Sivasankaran SK, Loving CL. Regional epithelial cell diversity in the small intestine of pigs. J Anim Sci 2023; 101:skac318. [PMID: 36183288 PMCID: PMC9831138 DOI: 10.1093/jas/skac318] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/28/2022] [Indexed: 01/13/2023] Open
Abstract
Understanding regional distribution and specialization of small intestinal epithelial cells is crucial for developing methods to control appetite, stress, and nutrient uptake in swine. To establish a better understanding of specific epithelial cells found across different regions of the small intestine in pigs, we utilized single-cell RNA sequencing (scRNA-seq) to recover and analyze epithelial cells from duodenum, jejunum, and ileum. Cells identified included crypt cells, enterocytes, BEST4 enterocytes, goblet cells, and enteroendocrine (EE) cells. EE cells were divided into two subsets based on the level of expression of the EE lineage commitment gene, NEUROD1. NEUROD1hi EE cells had minimal expression of hormone-encoding genes and were dissimilar to EE cells in humans and mice, indicating a subset of EE cells unique to pigs. Recently discovered BEST4 enterocytes were detected in both crypts and villi throughout the small intestine via in situ staining, unlike in humans, where BEST4 enterocytes are found only in small intestinal villi. Proximal-to-distal gradients of expression were noted for hormone-encoding genes in EE cells and nutrient transport genes in enterocytes via scRNA-seq, demonstrating regional specialization. Regional gene expression in EE cells and enterocytes was validated via quantitative PCR (qPCR) analysis of RNA isolated from epithelial cells of different small intestinal locations. Though many genes had similar patterns of regional expression when assessed by qPCR of total epithelial cells, some regional expression was only detected via scRNA-seq, highlighting advantages of scRNA-seq to deconvolute cell type-specific regional gene expression when compared to analysis of bulk samples. Overall, results provide new information on regional localization and transcriptional profiles of epithelial cells in the pig small intestine.
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Affiliation(s)
- Jayne E Wiarda
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
- Immunobiology Graduate Program, Iowa State University, Ames, IA, USA
- Department of Veterinary Microbiology and Preventative Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
- Oak Ridge Institute for Science and Education, Agricultural Research Service Participation Program, Oak Ridge, TN, USA
| | - Sage R Becker
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
- Immunobiology Graduate Program, Iowa State University, Ames, IA, USA
- Department of Veterinary Microbiology and Preventative Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Sathesh K Sivasankaran
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
- Genome Informatics Facility, Iowa State University, Ames, IA, USA
| | - Crystal L Loving
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
- Immunobiology Graduate Program, Iowa State University, Ames, IA, USA
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3
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Wiarda JE, Trachsel JM, Sivasankaran SK, Tuggle CK, Loving CL. Intestinal single-cell atlas reveals novel lymphocytes in pigs with similarities to human cells. Life Sci Alliance 2022; 5:5/10/e202201442. [PMID: 35995567 PMCID: PMC9396248 DOI: 10.26508/lsa.202201442] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 08/04/2022] [Accepted: 08/04/2022] [Indexed: 12/13/2022] Open
Abstract
Single-cell RNA sequencing of porcine ileal lymphocytes reveals similarities to human cells and discovery of porcine intestinal innate lymphoid cells. Lymphocytes can heavily influence intestinal health, but resolving intestinal lymphocyte function is challenging as the intestine contains a vastly heterogeneous mixture of cells. Pigs are an advantageous biomedical model, but deeper understanding of intestinal lymphocytes is warranted to improve model utility. Twenty-six cell types were identified in the porcine ileum by single-cell RNA sequencing and further compared with cells in human and murine ileum. Though general consensus of cell subsets across species was revealed, some porcine-specific lymphocyte subsets were identified. Differential tissue dissection and in situ analyses conferred spatial context, revealing similar locations of lymphocyte subsets in Peyer’s patches and epithelium in pig-to-human comparisons. Like humans, activated and effector lymphocytes were abundant in the ileum but not periphery of pigs, suggesting tissue-specific and/or activation-associated gene expression. Gene signatures for peripheral and ileal innate lymphoid cells newly discovered in pigs were defined and highlighted similarities to human innate lymphoid cells. Overall, we reveal novel lymphocyte subsets in pigs and highlight utility of pigs for intestinal research applications.
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Affiliation(s)
- Jayne E Wiarda
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA.,Immunobiology Graduate Program, Iowa State University, Ames, IA, USA.,Oak Ridge Institute for Science and Education, Agricultural Research Service Participation Program, Oak Ridge, TN, USA
| | - Julian M Trachsel
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
| | - Sathesh K Sivasankaran
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA.,Genome Informatics Facility, Iowa State University, Ames, IA, USA
| | | | - Crystal L Loving
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
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4
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Muthappa DM, Lamba S, Sivasankaran SK, Naithani A, Rogers N, Srikumar S, Macori G, Scannell AGM, Fanning S. 16S rRNA Based Profiling of Bacterial Communities Colonizing Bakery-Production Environments. Foodborne Pathog Dis 2022; 19:485-494. [PMID: 35759425 DOI: 10.1089/fpd.2022.0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Conventional culture-based techniques are largely inadequate in elucidating the microbiota contained in an environment, due to low recovery within a complex bacterial community. This limitation has been mitigated by the use of next-generation sequencing (NGS)-based approaches thereby facilitating the identification and classification of both culturable and uncultivable microorganisms. Amplicon targeted NGS methods, such as 16S ribosomal RNA (16S rRNA) and shotgun metagenomics, are increasingly being applied in various settings such as in food production environments to decipher the microbial consortium therein. Even though multiple food matrices/food production environments have been studied, the low-moisture environment associated with bakery food production remains to be investigated. To address this knowledge gap, in this study, we investigated the microbiome associated with two bakery production sites (designated as A and B) located in Ireland using 16S rRNA-amplicon-based sequencing. Amplicons corresponding to a hypervariable region contained within the 16S rRNA gene were amplified from DNA samples purified from environmental swabs and ingredients collected at both sites at various stages (preparation, production, postproduction, and storage) across the bakery production chain, over three seasons (winter, spring, and summer). These amplicons were sequenced, and data were analyzed using the mothur pipeline and visualized using MicrobiomeAnalyst and a series of R packages. The top seven bacterial phyla identified at both sites were composed of Proteobacteria, Firmicutes, Actinobacteria, Bacteroidetes, Deinococcus-Thermus, Patescibacteria, and Verrucomicrobia. In addition, the phyla Tenericutes (Mycoplasmatota) and Acidobacteria were observed only in samples taken at site B. Different bacterial compositions were identified at each stage of production. These same bacteria were also found to be present in the final processed food suggesting the influence of the environment on the food matrix. This study is the first demonstration of the utility of 16S rRNA amplicon-based sequencing to describe the microbiota associated with bakery processing environments.
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Affiliation(s)
- Dechamma Mundanda Muthappa
- UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Sakshi Lamba
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | | | - Ankita Naithani
- UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | | | - Shabarinath Srikumar
- UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.,Department of Food, Nutrition, and Health, College of Food and Agriculture, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Guerrino Macori
- UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Amalia G M Scannell
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Séamus Fanning
- UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.,Institute for Global Food Security, Queen's University Belfast, Belfast, United Kingdom
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Wiarda JE, Trachsel JM, Sivasankaran SK, Tuggle CK, Loving CL. Gene signatures for intestinal and peripheral innate lymphoid cells in pigs reveal tissue-specific imprinting and similarities to human cells via single-cell RNA sequencing. The Journal of Immunology 2022. [DOI: 10.4049/jimmunol.208.supp.171.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Abstract
Intestinal innate lymphoid cells (iILCs) impact intestinal health outcomes, but study of iILCs in humans is limited. Human peripheral ILCs (pILCs) are easily obtained but may vary substantially from iILCs, thus requiring comparison of iILCs and pILCs to determine applicability of pILCs as surrogates to study iILC function. Pigs have anatomic, physiological, nutritional, and immune similarities to humans that are lacking in rodent models, making pigs a relevant biomedical model; however, ILCs are poorly defined in pigs. Single-cell RNA sequencing was performed to compare porcine iILCs to pILCs and determine potential similarities of porcine to human ILCs. Porcine pILCs matched porcine natural killer (NK) cell descriptions, while iILCs were annotated as group 1 and group 3 ILCs. Gene modules obtained independent of cell annotations were distilled to core signatures of genes most highly specific to pILCs, pan-iILCs, group 1 iILCs, and group 3 iILCs. The pILC signature included conventional NK cell genes, while the group 3 iILC signature included genes associated with type 3 immunity. Pan-iILC and group 1 iILC signatures included genes associated with tissue residency, cell activation, and metabolism, indicating tissue-specific, activation-associated imprinting. Gene profiles were used to develop in situ iILC detection methods, establishing group 1 iILCs were intraepithelial, while group 3 iILCs resided in lamina propria/gut-associated lymphoid tissue. Findings indicated iILCs were ILC subsets distinct from pILCs, thus opposing pILCs as surrogates to study iILC dynamics. Moreover, gene profiles and in situ locations of iILCs drew close parallels to human iILCs functions, supporting pigs as a biomedical model for iILC research.
Research was supported by appropriated funds from USDA-ARS CRIS 5030-31320-004-00D, an appointment to the Agricultural Research Service (ARS) Research Participation Program administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and the U.S. Department of Agriculture (USDA). ORISE is managed by ORAU under DOE contract number DE-SC0014664. All opinions expressed in this paper are the authors’ and do not necessarily reflect the policies and views of USDA, ARS, DOE, or ORAU/ORISE. This research used resources provided by the SCINet project of the USDA ARS project number 0500-00093-001-00-D.
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Affiliation(s)
- Jayne E Wiarda
- 1National Animal Disease Center, ARS, USDA
- 2Iowa State Univ
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6
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Pareek V, Gupta R, Devineau S, Sivasankaran SK, Bhargava A, Khan MA, Srikumar S, Fanning S, Panwar J. Does Silver in Different Forms Affect Bacterial Susceptibility and Resistance? A Mechanistic Perspective. ACS Appl Bio Mater 2022; 5:801-817. [PMID: 35073697 DOI: 10.1021/acsabm.1c01179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
The exceptional increase in antibiotic resistance in past decades motivated the scientific community to use silver as a potential antibacterial agent. However, due to its unknown antibacterial mechanism and the pattern of bacterial resistance to silver species, it has not been revolutionized in the health sector. This study deciphers mechanistic aspects of silver species, i.e., ions and lysozyme-coated silver nanoparticles (L-Ag NPs), against E. coli K12 through RNA sequencing analysis. The obtained results support the reservoir nature of nanoparticles for the controlled release of silver ions into bacteria. This study differentiates between the antibacterial mechanism of silver species by discussing the pathway of their entry in bacteria, sequence of events inside cells, and response of bacteria to overcome silver stress. Controlled release of ions from L-Ag NPs not only reduces bacterial growth but also reduces the likelihood of resistance development. Conversely, direct exposure of silver ions, leads to rapid activation of the bacterial defense system leading to development of resistance against silver ions, like the well-known antibiotic resistance problem. These findings provide valuable insight on the mechanism of silver resistance and antibacterial strategies deployed by E. coli K12, which could be a potential target for the generation of aim-based and effective nanoantibiotics.
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Affiliation(s)
- Vikram Pareek
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani 333031, India.,School of Public Health, Physiotherapy and Sports Science, Centre for Food Safety, Science Centre South, University College Dublin, Dublin 4, Ireland
| | - Rinki Gupta
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani 333031, India
| | | | | | - Arpit Bhargava
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani 333031, India
| | - Mohd Azeem Khan
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani 333031, India
| | - Shabrinath Srikumar
- Department of Food, Nutrition and Health, College of Food and Agriculture, UAE University, Al Ain 15551, UAE
| | - Séamus Fanning
- School of Public Health, Physiotherapy and Sports Science, Centre for Food Safety, Science Centre South, University College Dublin, Dublin 4, Ireland.,Institute for Global Food Security, Queen's University Belfast, Belfast BT7 1NN, United Kingdom
| | - Jitendra Panwar
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani 333031, India
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7
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Herrera-Uribe J, Wiarda JE, Sivasankaran SK, Daharsh L, Liu H, Byrne KA, Smith TPL, Lunney JK, Loving CL, Tuggle CK. Reference Transcriptomes of Porcine Peripheral Immune Cells Created Through Bulk and Single-Cell RNA Sequencing. Front Genet 2021; 12:689406. [PMID: 34249103 PMCID: PMC8261551 DOI: 10.3389/fgene.2021.689406] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/18/2021] [Indexed: 01/03/2023] Open
Abstract
Pigs are a valuable human biomedical model and an important protein source supporting global food security. The transcriptomes of peripheral blood immune cells in pigs were defined at the bulk cell-type and single cell levels. First, eight cell types were isolated in bulk from peripheral blood mononuclear cells (PBMCs) by cell sorting, representing Myeloid, NK cells and specific populations of T and B-cells. Transcriptomes for each bulk population of cells were generated by RNA-seq with 10,974 expressed genes detected. Pairwise comparisons between cell types revealed specific expression, while enrichment analysis identified 1,885 to 3,591 significantly enriched genes across all 8 cell types. Gene Ontology analysis for the top 25% of significantly enriched genes (SEG) showed high enrichment of biological processes related to the nature of each cell type. Comparison of gene expression indicated highly significant correlations between pig cells and corresponding human PBMC bulk RNA-seq data available in Haemopedia. Second, higher resolution of distinct cell populations was obtained by single-cell RNA-sequencing (scRNA-seq) of PBMC. Seven PBMC samples were partitioned and sequenced that produced 28,810 single cell transcriptomes distributed across 36 clusters and classified into 13 general cell types including plasmacytoid dendritic cells (DC), conventional DCs, monocytes, B-cell, conventional CD4 and CD8 αβ T-cells, NK cells, and γδ T-cells. Signature gene sets from the human Haemopedia data were assessed for relative enrichment in genes expressed in pig cells and integration of pig scRNA-seq with a public human scRNA-seq dataset provided further validation for similarity between human and pig data. The sorted porcine bulk RNAseq dataset informed classification of scRNA-seq PBMC populations; specifically, an integration of the datasets showed that the pig bulk RNAseq data helped define the CD4CD8 double-positive T-cell populations in the scRNA-seq data. Overall, the data provides deep and well-validated transcriptomic data from sorted PBMC populations and the first single-cell transcriptomic data for porcine PBMCs. This resource will be invaluable for annotation of pig genes controlling immunogenetic traits as part of the porcine Functional Annotation of Animal Genomes (FAANG) project, as well as further study of, and development of new reagents for, porcine immunology.
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Affiliation(s)
- Juber Herrera-Uribe
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Jayne E. Wiarda
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
- Immunobiology Graduate Program, Iowa State University, Ames, IA, United States
- Oak Ridge Institute for Science and Education, Agricultural Research Service Participation Program, Oak Ridge, TN, United States
| | - Sathesh K. Sivasankaran
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
- Genome Informatics Facility, Iowa State University, Ames, IA, United States
| | - Lance Daharsh
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Haibo Liu
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Kristen A. Byrne
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
| | | | - Joan K. Lunney
- USDA-ARS, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Beltsville, MD, United States
| | - Crystal L. Loving
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, United States
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8
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Loving CL, Wiarda JE, Sivasankaran SK, Daharsh L, Liu H, Byrne KA, Tuggle CK. Characterization of circulating porcine immune cells using single-cell RNA-sequencing and comparison to human datasets. The Journal of Immunology 2021. [DOI: 10.4049/jimmunol.206.supp.19.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Abstract
Pigs are part of global food security and serve as a valuable human biomedical model. Immunoreagent unavailability limits resolution of pig leukocyte populations by protein markers; thus, single-cell RNA-sequencing (scRNA) was used to characterize pig peripheral blood mononuclear cell (PBMC) populations and infer function based on transcriptional profiles and comparison to human datasets. Across seven PBMC samples partitioned and sequenced, 28,810 cells distributed across 36 clusters were classified into 13 general cell types including plasmacytoid dendritic cells (DC), conventional DCs, monocytes, more than ten B cell clusters including plasmablasts, conventional CD4 and CD8 αβ T cells, NK cells, and four clusters of γδ T cells. Signature gene sets for a publicly available human bulk RNA-seq dataset were assessed for relative enrichment in genes expressed in pig cells and substantial overlap in gene expression between specific pig and human PBMC populations was detected. Integration of pig scRNA with a public human scRNA dataset provided further validation for similarity between human and pig. Of four pig γδ T cell clusters, two had high prediction and mapping scores with human γδ T cells. The other two pig γδ T cell clusters had gene expression profiles predictive of human γδ T cells, but also human CD4 T central memory (Tcm) and innate lymphoid cells, suggesting innate and adaptive function of some pig γδ T cells. Pigs have a population of circulating double-positive (DP) CD4+CD8αα+ αβ T cells, and putative DP clusters had high prediction scores to human CD4 Tcm cells, supporting their classification in literature as memory cells. Overall, the data provided the first single-cell atlas for porcine PBMCs and comparison to human datasets.
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Affiliation(s)
| | | | | | - Lance Daharsh
- 3Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Haibo Liu
- 3Department of Animal Science, Iowa State University, Ames, IA, USA
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9
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Wiarda JE, Sivasankaran SK, Loving CL. Identification of porcine ileal innate lymphoid cells using single-cell RNA sequencing. The Journal of Immunology 2021. [DOI: 10.4049/jimmunol.206.supp.19.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Innate lymphoid cells (ILCs) are integral in maintaining intestinal defense and homeostasis, but intestinal ILCs have not been identified in pigs. Pigs are an important global food source and human biomedical model, thus identifying and characterizing porcine intestinal ILCs can have broad implications. Single-cell RNA sequencing of porcine ileal lymphocytes yielded 31,983 cells distributed across 54 clusters. Five clusters were closely related to T cell clusters yet lacked expression of the pan-T cell marker, CD3E. One cluster had high expression of genes related to type 3 immunity, including IL22, RORC, and CXCL8, indicating identification of putative ILC3s. The other four clusters expressed genes encoding for NK receptors (KLRK1, KLRC1, KLRD1) and effector molecules (CCL5, PRF1), yet they lacked expression of genes traditionally expressed by porcine NK cells (CD8A, KLRB1, HCST). Thus, we putatively identified the four clusters as ILC1s. Profiles of putative porcine ILC clusters were further compared to transcriptomic signatures of murine intestinal ILC subsets. Results indicated a relative enrichment of murine ILC3 gene signatures in the porcine ILC3 cluster, while relative enrichment of murine ILC1 gene signatures was observed for the other four clusters of porcine ILC1s. We further utilized single-cell gene expression profiles to develop a gating strategy to identify porcine intestinal ILCs as CD45+CD2+CD3ɛ−CD79α− lymphocytes at the protein level by flow cytometry. Altogether, the data allowed us to create the first transcriptomic descriptions of porcine intestinal ILCs and develop approaches to identify ILCs at the protein level, which will be applicable for future research.
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Affiliation(s)
- Jayne E Wiarda
- 1National Animal Disease Center
- 2Iowa State University
- 3Oak Ridge Institute for Science and Education (ORISE)
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10
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Daharsh LN, Sivasankaran SK, Byrne KA, Herrera-Uribe J, Loving CL, Tuggle CK. Comparative annotation of porcine bone marrow cell types using scRNAseq. The Journal of Immunology 2021. [DOI: 10.4049/jimmunol.206.supp.19.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Pigs are important as a biomedical model and for worldwide meat production. Therefore, a better understanding of porcine hematopoiesis and immune system development could have a wide impact on human disease research and food production. The bone marrow represents a unique environment that is the major site of differentiation of stem cells and progenitors into mature blood cells. We performed scRNA-seq on bone marrow from healthy adult pigs and sequenced a total of 3,576 cells. After QC, 2,707 cells and 16,432 genes were used for downstream analysis. The porcine bone marrow cells were grouped into 15 distinct clusters and these relationships were mapped using non-linear dimensional reduction. To find markers that defined each cluster, we found a total of 3,335 differentially expressed genes using the non-parameteric Wilcoxon rank sum test. Further, pairwise differential expression testing and random forest models were used to evaluate the similarity between clusters and further define the unique features of each cluster. Using these defined markers, we were able to annotate the cell types for each cluster. The clusters represented a diverse set of cell types including myeloid and lymphoid cells, myeloid and lymphoid cell progenitors, and platelet and red blood cell progenitors. We validated these annotations using publicly available datasets including the CITE-seq database of human bone marrow mononuclear cells (Stuart et al., 2019). We also compared the expression profiles between similarly annotated cell types between human and pig. Our novel annotation of porcine bone marrow cells will be a resource for the study of porcine hematopoiesis and immune system development and help inform human translational biomedical research.
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Affiliation(s)
- Lance N Daharsh
- 1Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Sathesh K Sivasankaran
- 2USDA-Agriculture Research Service, National Animal Disease Center, Food Safety and Enteric Pathogens Research Unit, Ames, IA, USA
| | - Kristen A Byrne
- 2USDA-Agriculture Research Service, National Animal Disease Center, Food Safety and Enteric Pathogens Research Unit, Ames, IA, USA
| | | | - Crystal L Loving
- 2USDA-Agriculture Research Service, National Animal Disease Center, Food Safety and Enteric Pathogens Research Unit, Ames, IA, USA
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Putz EJ, Sivasankaran SK, Fernandes LGV, Brunelle B, Lippolis JD, Alt DP, Bayles DO, Hornsby RL, Nally JE. Distinct transcriptional profiles of Leptospira borgpetersenii serovar Hardjo strains JB197 and HB203 cultured at different temperatures. PLoS Negl Trop Dis 2021; 15:e0009320. [PMID: 33826628 PMCID: PMC8055020 DOI: 10.1371/journal.pntd.0009320] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/19/2021] [Accepted: 03/22/2021] [Indexed: 11/18/2022] Open
Abstract
Background Leptospirosis is a zoonotic, bacterial disease, posing significant health risks to humans, livestock, and companion animals around the world. Symptoms range from asymptomatic to multi-organ failure in severe cases. Complex species-specific interactions exist between animal hosts and the infecting species, serovar, and strain of pathogen. Leptospira borgpetersenii serovar Hardjo strains HB203 and JB197 have a high level of genetic homology but cause different clinical presentation in the hamster model of infection; HB203 colonizes the kidney and presents with chronic shedding while JB197 causes severe organ failure and mortality. This study examines the transcriptome of L. borgpetersenii and characterizes differential gene expression profiles of strains HB203 and JB197 cultured at temperatures during routine laboratory conditions (29°C) and encountered during host infection (37°C). Methodology/Principal findings L. borgpetersenii serovar Hardjo strains JB197 and HB203 were isolated from the kidneys of experimentally infected hamsters and maintained at 29°C and 37°C. RNAseq revealed distinct gene expression profiles; 440 genes were differentially expressed (DE) between JB197 and HB203 at 29°C, and 179 genes were DE between strains at 37°C. Comparison of JB197 cultured at 29°C and 37°C identified 135 DE genes while 41 genes were DE in HB203 with those same culture conditions. The consistent differential expression of ligB, which encodes the outer membrane virulence factor LigB, was validated by immunoblotting and 2D-DIGE. Differential expression of lipopolysaccharide was also observed between JB197 and HB203. Conclusions/Significance Investigation of the L. borgpetersenii JB197 and HB203 transcriptome provides unique insight into the mechanistic differences between acute and chronic disease. Characterizing the nuances of strain to strain differences and investigating the environmental sensitivity of Leptospira to temperature is critical to the development and progress of leptospirosis prevention and treatment technologies, and is an important consideration when serovars are selected and propagated for use as bacterin vaccines as well as for the identification of novel therapeutic targets. Leptospirosis is a global zoonotic, neglected tropical disease. Interestingly, a high level of species specificity (both bacteria and host) plays a major role in the severity of disease presentation which can vary from asymptomatic to multi-organ failure. Pathogenic Leptospira colonize the kidneys of infected individuals and are shed in urine into the environment where they can survive until they are contracted by another host. This study looks at two strains of L. borgpetersenii, HB203 and JB197 which are genetically very similar, and identical by serotyping as serovar Hardjo, yet HB203 causes a chronic infection in the hamster while JB197 causes organ failure and mortality. To better characterize bacterial factors causing different disease outcomes, we examined the gene expression profile of these strains in the context of temperatures that would reflect natural Leptospira life cycles (environmentally similar 29°C and 37°C which is more indicative of host environment). We found vast differences in gene expression both between the strains and within strains between temperatures. Characterization of the transcriptome of L. borgpetersenii serovar Hardjo strains JB197 and HB203 provides insights into factors that can determine acute versus chronic disease in the hamster model of infection. Additionally, these studies highlight strain to strain variability within the same species, and serovar, at different growth temperatures, which needs to be considered when serovars are selected and propagated for use as bacterin vaccines used to immunize domestic animal species.
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Affiliation(s)
- Ellie J. Putz
- Infectious Bacterial Disease Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
- * E-mail:
| | - Sathesh K. Sivasankaran
- Food Safety and Enteric Pathogens Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
- Genome Informatics Facility Iowa State University, Ames, Iowa, United States of America
| | - Luis G. V. Fernandes
- Infectious Bacterial Disease Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
- Laboratório de Desenvolvimento de Vacinas, Instituto Butantan, São Paulo, Brazil
| | - Brian Brunelle
- Arbor Biosciences, Ann Arbor, Michigan, United States of America
| | - John D. Lippolis
- Ruminant Disease and Immunology Research Unit USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
| | - David P. Alt
- Infectious Bacterial Disease Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
| | - Darrell O. Bayles
- Infectious Bacterial Disease Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
| | - Richard L. Hornsby
- Infectious Bacterial Disease Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
| | - Jarlath E. Nally
- Infectious Bacterial Disease Research Unit, USDA Agriculture Research Service, National Animal Disease Center, Ames, Iowa, United States of America
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12
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Sylte MJ, Sivasankaran SK, Trachsel J, Sato Y, Wu Z, Johnson TA, Chandra LC, Zhang Q, Looft T. The Acute Host-Response of Turkeys Colonized With Campylobacter coli. Front Vet Sci 2021; 8:613203. [PMID: 33889603 PMCID: PMC8057350 DOI: 10.3389/fvets.2021.613203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 03/08/2021] [Indexed: 01/17/2023] Open
Abstract
Consumption of contaminated poultry products is one of the main sources of human campylobacteriosis, of which Campylobacter jejuni subsp. jejuni (C. jejuni) and C. coli are responsible for ~98% of the cases. In turkeys, the ceca are an important anatomical site where Campylobacter asymptomatically colonizes. We previously demonstrated that commercial turkey poults colonized by C. jejuni showed acute changes in cytokine gene expression profiles, and histological intestinal lesions at 2 days post-inoculation (dpi). Cecal tonsils (CT) are an important part of the gastrointestinal-associated lymphoid tissue that surveil material passing in and out of the ceca, and generate immune responses against intestinal pathogens. The CT immune response toward Campylobacter remains unknown. In this study, we generated a kanamycin-resistant C. coli construct (CcK) to facilitate its enumeration from cecal contents after experimental challenge. In vitro analysis of CcK demonstrated no changes in motility when compared to the parent isolate. Poults were inoculated by oral gavage with CcK (5 × 107 colony forming units) or sterile-media (mock-colonized), and euthanized at 1 and 3 dpi. At both time points, CcK was recovered from cecal contents, but not from the mock-colonized group. As a marker of acute inflammation, serum alpha-1 acid glycoprotein was significantly elevated at 3 dpi in CcK inoculated poults compared to mock-infected samples. Significant histological lesions were detected in cecal and CT tissues of CcK colonized poults at 1 and 3 dpi, respectively. RNAseq analysis identified 250 differentially expressed genes (DEG) in CT from CcK colonized poults at 3 dpi, of which 194 were upregulated and 56 were downregulated. From the DEG, 9 significantly enriched biological pathways were identified, including platelet aggregation, response to oxidative stress and negative regulation of oxidative stress-induced intrinsic apoptotic signaling pathway. These data suggest that C. coli induced an acute inflammatory response in the intestinal tract of poults, and that platelet aggregation and oxidative stress in the CT may affect the turkey's ability to resist Campylobacter colonization. These findings will help to develop and test Campylobacter mitigation strategies to promote food safety in commercial turkeys.
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Affiliation(s)
- Matthew J Sylte
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Services, U.S. Department of Agriculture, Ames, IA, United States
| | - Sathesh K Sivasankaran
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Services, U.S. Department of Agriculture, Ames, IA, United States
- Genome Informatics Facility, Iowa State University, Ames, IA, United States
| | - Julian Trachsel
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Services, U.S. Department of Agriculture, Ames, IA, United States
| | - Yuko Sato
- Veterinary Diagnostic Laboratory, Iowa State University, Ames, IA, United States
| | - Zuowei Wu
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, United States
| | - Timothy A Johnson
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Services, U.S. Department of Agriculture, Ames, IA, United States
| | - Lawrance C Chandra
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Services, U.S. Department of Agriculture, Ames, IA, United States
| | - Qijing Zhang
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, United States
| | - Torey Looft
- Food Safety and Enteric Pathogens Research Unit, National Animal Disease Center, Agricultural Research Services, U.S. Department of Agriculture, Ames, IA, United States
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Pareek V, Devineau S, Sivasankaran SK, Bhargava A, Panwar J, Srikumar S, Fanning S. Silver Nanoparticles Induce a Triclosan-Like Antibacterial Action Mechanism in Multi-Drug Resistant Klebsiella pneumoniae. Front Microbiol 2021; 12:638640. [PMID: 33658987 PMCID: PMC7917072 DOI: 10.3389/fmicb.2021.638640] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/20/2021] [Indexed: 12/26/2022] Open
Abstract
Infections associated with antimicrobial-resistant bacteria now represent a significant threat to human health using conventional therapy, necessitating the development of alternate and more effective antibacterial compounds. Silver nanoparticles (Ag NPs) have been proposed as potential antimicrobial agents to combat infections. A complete understanding of their antimicrobial activity is required before these molecules can be used in therapy. Lysozyme coated Ag NPs were synthesized and characterized by TEM-EDS, XRD, UV-vis, FTIR spectroscopy, zeta potential, and oxidative potential assay. Biochemical assays and deep level transcriptional analysis using RNA sequencing were used to decipher how Ag NPs exert their antibacterial action against multi-drug resistant Klebsiella pneumoniae MGH78578. RNAseq data revealed that Ag NPs induced a triclosan-like bactericidal mechanism responsible for the inhibition of the type II fatty acid biosynthesis. Additionally, released Ag+ generated oxidative stress both extra- and intracellularly in K. pneumoniae. The data showed that triclosan-like activity and oxidative stress cumulatively underpinned the antibacterial activity of Ag NPs. This result was confirmed by the analysis of the bactericidal effect of Ag NPs against the isogenic K. pneumoniae MGH78578 ΔsoxS mutant, which exhibits a compromised oxidative stress response compared to the wild type. Silver nanoparticles induce a triclosan-like antibacterial action mechanism in multi-drug resistant K. pneumoniae. This study extends our understanding of anti-Klebsiella mechanisms associated with exposure to Ag NPs. This allowed us to model how bacteria might develop resistance against silver nanoparticles, should the latter be used in therapy.
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Affiliation(s)
- Vikram Pareek
- UCD-Centre for Food Safety, UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani, India
| | | | | | - Arpit Bhargava
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani, India
| | - Jitendra Panwar
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani, India
| | - Shabarinath Srikumar
- Department of Food, Nutrition and Health, College of Food and Agriculture, UAE University, Al Ain, United Arab Emirates
| | - Séamus Fanning
- UCD-Centre for Food Safety, UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
- Institute for Global Food Security, Queen’s University Belfast, Belfast, United Kingdom
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14
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Bearson BL, Trachsel JM, Shippy DC, Sivasankaran SK, Kerr BJ, Loving CL, Brunelle BW, Curry SM, Gabler NK, Bearson SMD. The Role of Salmonella Genomic Island 4 in Metal Tolerance of Salmonella enterica Serovar I 4,[5],12:i:- Pork Outbreak Isolate USDA15WA-1. Genes (Basel) 2020; 11:genes11111291. [PMID: 33142960 PMCID: PMC7716197 DOI: 10.3390/genes11111291] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 10/21/2020] [Accepted: 10/27/2020] [Indexed: 12/16/2022] Open
Abstract
Multidrug-resistant (MDR; resistance to >3 antimicrobial classes) Salmonella enterica serovar I 4,[5],12:i:- strains were linked to a 2015 foodborne outbreak from pork. Strain USDA15WA-1, associated with the outbreak, harbors an MDR module and the metal tolerance element Salmonella Genomic Island 4 (SGI-4). Characterization of SGI-4 revealed that conjugational transfer of SGI-4 resulted in the mobile genetic element (MGE) replicating as a plasmid or integrating into the chromosome. Tolerance to copper, arsenic, and antimony compounds was increased in Salmonella strains containing SGI-4 compared to strains lacking the MGE. Following Salmonella exposure to copper, RNA-seq transcriptional analysis demonstrated significant differential expression of diverse genes and pathways, including induction of at least 38 metal tolerance genes (copper, arsenic, silver, and mercury). Evaluation of swine administered elevated concentrations of zinc oxide (2000 mg/kg) and copper sulfate (200 mg/kg) as an antimicrobial feed additive (Zn+Cu) in their diet for four weeks prior to and three weeks post-inoculation with serovar I 4,[5],12:i:- indicated that Salmonella shedding levels declined at a slower rate in pigs receiving in-feed Zn+Cu compared to control pigs (no Zn+Cu). The presence of metal tolerance genes in MDR Salmonella serovar I 4,[5],12:i:- may provide benefits for environmental survival or swine colonization in metal-containing settings.
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Affiliation(s)
- Bradley L. Bearson
- USDA, ARS, National Laboratory for Agriculture and the Environment, Agroecosystems Management Research Unit, Ames, IA 50011, USA; (B.J.K.); (S.M.C.)
- Correspondence: ; Tel.: +1-515-294-0209
| | - Julian M. Trachsel
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA 50010, USA; (J.M.T.); (D.C.S.); (S.K.S.); (C.L.L.); (B.W.B.); (S.M.D.B.)
| | - Daniel C. Shippy
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA 50010, USA; (J.M.T.); (D.C.S.); (S.K.S.); (C.L.L.); (B.W.B.); (S.M.D.B.)
| | - Sathesh K. Sivasankaran
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA 50010, USA; (J.M.T.); (D.C.S.); (S.K.S.); (C.L.L.); (B.W.B.); (S.M.D.B.)
- Genome Informatics Facility, Iowa State University, Ames, IA 50011, USA
| | - Brian J. Kerr
- USDA, ARS, National Laboratory for Agriculture and the Environment, Agroecosystems Management Research Unit, Ames, IA 50011, USA; (B.J.K.); (S.M.C.)
| | - Crystal L. Loving
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA 50010, USA; (J.M.T.); (D.C.S.); (S.K.S.); (C.L.L.); (B.W.B.); (S.M.D.B.)
| | - Brian W. Brunelle
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA 50010, USA; (J.M.T.); (D.C.S.); (S.K.S.); (C.L.L.); (B.W.B.); (S.M.D.B.)
| | - Shelby M. Curry
- USDA, ARS, National Laboratory for Agriculture and the Environment, Agroecosystems Management Research Unit, Ames, IA 50011, USA; (B.J.K.); (S.M.C.)
| | | | - Shawn M. D. Bearson
- USDA, ARS, National Animal Disease Center, Food Safety and Enteric Pathogens, Ames, IA 50010, USA; (J.M.T.); (D.C.S.); (S.K.S.); (C.L.L.); (B.W.B.); (S.M.D.B.)
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15
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Griswold AJ, Sivasankaran SK, Van Booven D, Gardner OK, Rajabli F, Whitehead PL, Hamilton-Nelson KL, Adams LD, Scott AM, Hofmann NK, Vance JM, Cuccaro ML, Bush WS, Martin ER, Byrd GS, Haines JL, Pericak-Vance MA, Beecham GW. Immune and Inflammatory Pathways Implicated by Whole Blood Transcriptomic Analysis in a Diverse Ancestry Alzheimer's Disease Cohort. J Alzheimers Dis 2020; 76:1047-1060. [PMID: 32597797 DOI: 10.3233/jad-190855] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Significant work has identified genetic variants conferring risk and protection for Alzheimer's disease (AD), but functional effects of these variants is lacking, particularly in under-represented ancestral populations. Expression studies performed in easily accessible tissue, such as whole blood, can recapitulate some transcriptional changes occurring in brain and help to identify mechanisms underlying neurodegenerative processes. OBJECTIVE We aimed to identify transcriptional differences between AD cases and controls in a cohort of diverse ancestry. METHODS We analyzed the protein coding transcriptome using RNA sequencing from peripheral blood collected from 234 African American (AA) (115 AD, 119 controls) and 240 non-Hispanic Whites (NHW) (121 AD, 119 controls). To identify case-control differentially expressed genes and pathways, we performed stratified, joint, and interaction analyses using linear regression models within and across ancestral groups followed by pathway and gene set enrichment analyses. RESULTS Overall, we identified 418 (291 upregulated, 127 downregulated) and 488 genes (352 upregulated, 136 downregulated) differentially expressed in the AA and NHW datasets, respectively, with only 16 genes commonly differentially expressed in both ancestral groups. Joint analyses provided greater power to detect case-control differences and identified 1,102 differentially expressed genes between cases and controls (812 upregulated, 290 downregulated). Interaction analysis identified only 27 genes with different effects in AA compared to NHW. Pathway and gene-set enrichment analyses revealed differences in immune response-related pathways that were enriched across the analyses despite different underlying gene sets. CONCLUSION These results support the hypothesis of converging underlying pathophysiological processes in AD across ancestral groups.
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Affiliation(s)
- Anthony J Griswold
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.,Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | | | - Derek Van Booven
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Olivia K Gardner
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Farid Rajabli
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Patrice L Whitehead
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | | | - Larry D Adams
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Aja M Scott
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Natalia K Hofmann
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Jeffery M Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.,Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Michael L Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.,Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - William S Bush
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.,Cleveland Institute for Computational Biology, Cleveland, OH, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.,Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Goldie S Byrd
- Department of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.,Cleveland Institute for Computational Biology, Cleveland, OH, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.,Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.,Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
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16
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Young JI, Sivasankaran SK, Wang L, Ali A, Mehta A, Davis DA, Dykxhoorn DM, Petito CK, Beecham GW, Martin ER, Mash DC, Pericak-Vance M, Scott WK, Montine TJ, Vance JM. Genome-wide brain DNA methylation analysis suggests epigenetic reprogramming in Parkinson disease. Neurol Genet 2019; 5:e342. [PMID: 31403079 PMCID: PMC6659138 DOI: 10.1212/nxg.0000000000000342] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 05/09/2019] [Indexed: 12/13/2022]
Abstract
Objective Given the known strong relationship of DNA methylation with environmental exposure, we investigated whether brain regions affected in Parkinson disease (PD) were differentially methylated between PD cases and controls. Methods DNA chip arrays were used to perform a genome-wide screen of DNA methylation on the dorsal motor nucleus of the vagus (DMV), substantia nigra (SN), and cingulate gyrus (CG) of pathologically confirmed PD cases and controls selected using the criteria of Beecham et al. Analysis examined differentially methylated regions (DMRs) between cases and controls for each brain area. RNA sequencing and pathway analysis were also performed for each brain area. Results Thirty-eight PD cases and 41 controls were included in the analysis. Methylation studies revealed 234 significant DMR in the DMV, 44 in the SN, and 141 in the CG between cases and controls (Sidak p < 0.05). Pathway analysis of these genes showed significant enrichment for the Wnt signaling pathway (FDR < 0.01). Conclusions Our data suggest that significant DNA methylation changes exist between cases and controls in PD, especially in the DMV, one of the areas affected earliest in PD. The etiology of these methylation changes is not yet known, but the predominance of methylation changes occurring in the DMV supports the hypothesis that vagus nerve function, perhaps involving the gastrointestinal system, is important in PD pathogenesis. These data also give independent support that genes involved in Wnt signaling are a likely factor in the neurodegenerative processes of PD.
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Affiliation(s)
- Juan I Young
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Sathesh K Sivasankaran
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Lily Wang
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Aleena Ali
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Arpit Mehta
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - David A Davis
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Derek M Dykxhoorn
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Carol K Petito
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Deborah C Mash
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Margaret Pericak-Vance
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - William K Scott
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Thomas J Montine
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
| | - Jeffery M Vance
- John P. Hussman Institute for Human Genomics (J.I.Y., S.K.S., A.A., A.M., D.M.D., G.W.B., E.R.M., M.P.-V., W.K.S., J.M.V.), Miller School of Medicine, University of Miami; Department of Public Health Sciences (L.W.), Division of Biostatistics, Miller School of Medicine, University of Miami; Department of Neurology (D.A.D., D.C.M.), Miller School of Medicine, University of Miami; Department of Pathology (C.K.P.), Miller School of Medicine, University of Miami, FL; and Department of Pathology (T.J.M.), Stanford University, CA
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17
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Anes J, Sivasankaran SK, Muthappa DM, Fanning S, Srikumar S. Exposure to Sub-inhibitory Concentrations of the Chemosensitizer 1-(1-Naphthylmethyl)-Piperazine Creates Membrane Destabilization in Multi-Drug Resistant Klebsiella pneumoniae. Front Microbiol 2019; 10:92. [PMID: 30814979 PMCID: PMC6381021 DOI: 10.3389/fmicb.2019.00092] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 01/16/2019] [Indexed: 01/23/2023] Open
Abstract
Antimicrobial efflux is one of the important mechanisms causing multi-drug resistance (MDR) in bacteria. Chemosensitizers like 1-(1-naphthylmethyl)-piperazine (NMP) can inhibit an efflux pump and therefore can overcome MDR. However, secondary effects of NMP other than efflux pump inhibition are rarely investigated. Here, using phenotypic assays, phenotypic microarray and transcriptomic assays we show that NMP creates membrane destabilization in MDR Klebsiella pneumoniae MGH 78578 strain. The NMP mediated membrane destabilization activity was measured using β-lactamase activity, membrane potential alteration studies, and transmission electron microscopy assays. Results from both β-lactamase and membrane potential alteration studies shows that both outer and inner membranes are destabilized in NMP exposed K. pneumoniae MGH 78578 cells. Phenotypic Microarray and RNA-seq were further used to elucidate the metabolic and transcriptional signals underpinning membrane destabilization. Membrane destabilization happens as early as 15 min post-NMP treatment. Our RNA-seq data shows that many genes involved in envelope stress response were differentially regulated in the NMP treated cells. Up-regulation of genes encoding the envelope stress response and repair systems show the distortion in membrane homeostasis during survival in an environment containing sub-inhibitory concentration of NMP. In addition, the lsr operon encoding the production of autoinducer-2 responsible for biofilm production was down-regulated resulting in reduced biofilm formation in NMP treated cells, a phenotype confirmed by crystal violet-based assays. We postulate that the early membrane disruption leads to destabilization of inner membrane potential, impairing ATP production and consequently resulting in efflux pump inhibition.
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Affiliation(s)
- João Anes
- School of Public Health, Physiotherapy and Sports Science, Centre for Food Safety, Science Centre South, University College Dublin, Dublin, Ireland
| | | | - Dechamma M Muthappa
- School of Public Health, Physiotherapy and Sports Science, Centre for Food Safety, Science Centre South, University College Dublin, Dublin, Ireland
| | - Séamus Fanning
- School of Public Health, Physiotherapy and Sports Science, Centre for Food Safety, Science Centre South, University College Dublin, Dublin, Ireland.,Institute for Global Food Security, Queen's University Belfast, Belfast, United Kingdom
| | - Shabarinath Srikumar
- School of Public Health, Physiotherapy and Sports Science, Centre for Food Safety, Science Centre South, University College Dublin, Dublin, Ireland
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18
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Kröger C, MacKenzie KD, Alshabib EY, Kirzinger MWB, Suchan DM, Chao TC, Akulova V, Miranda-CasoLuengo AA, Monzon VA, Conway T, Sivasankaran SK, Hinton JCD, Hokamp K, Cameron ADS. The primary transcriptome, small RNAs and regulation of antimicrobial resistance in Acinetobacter baumannii ATCC 17978. Nucleic Acids Res 2018; 46:9684-9698. [PMID: 29986115 PMCID: PMC6182133 DOI: 10.1093/nar/gky603] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 06/21/2018] [Accepted: 06/26/2018] [Indexed: 12/12/2022] Open
Abstract
We present the first high-resolution determination of transcriptome architecture in the priority pathogen Acinetobacter baumannii. Pooled RNA from 16 laboratory conditions was used for differential RNA-seq (dRNA-seq) to identify 3731 transcriptional start sites (TSS) and 110 small RNAs, including the first identification in A. baumannii of sRNAs encoded at the 3' end of coding genes. Most sRNAs were conserved among sequenced A. baumannii genomes, but were only weakly conserved or absent in other Acinetobacter species. Single nucleotide mapping of TSS enabled prediction of -10 and -35 RNA polymerase binding sites and revealed an unprecedented base preference at position +2 that hints at an unrecognized transcriptional regulatory mechanism. To apply functional genomics to the problem of antimicrobial resistance, we dissected the transcriptional regulation of the drug efflux pump responsible for chloramphenicol resistance, craA. The two craA promoters were both down-regulated >1000-fold when cells were shifted to nutrient limited medium. This conditional down-regulation of craA expression renders cells sensitive to chloramphenicol, a highly effective antibiotic for the treatment of multidrug resistant infections. An online interface that facilitates open data access and visualization is provided as 'AcinetoCom' (http://bioinf.gen.tcd.ie/acinetocom/).
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Affiliation(s)
- Carsten Kröger
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Keith D MacKenzie
- Institute for Microbial Systems and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
- Department of Biology, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Ebtihal Y Alshabib
- Institute for Microbial Systems and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
- Department of Biology, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Morgan W B Kirzinger
- Institute for Microbial Systems and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Danae M Suchan
- Institute for Microbial Systems and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
- Department of Biology, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Tzu-Chiao Chao
- Department of Biology, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
- Institute of Environmental Change and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Valentyna Akulova
- Institute for Microbial Systems and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Aleksandra A Miranda-CasoLuengo
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Vivian A Monzon
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Tyrrell Conway
- Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, OK 74078, USA
| | - Sathesh K Sivasankaran
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jay C D Hinton
- Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
| | - Karsten Hokamp
- Department of Genetics, School of Genetics & Microbiology, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Andrew D S Cameron
- Institute for Microbial Systems and Society, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
- Department of Biology, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
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19
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Griswold AJ, Sivasankaran SK, Gardner OK, Rajabli F, Hamilton-Nelson KL, Rolati S, Hofmann NK, Whitehead PL, Adams LD, Byrd GS, Martin ER, Cuccaro ML, Bush WS, Haines JL, Vance JM, Beecham GW, Pericak-Vance MA. P1‐144: TRANSCRIPTOMIC ANALYSIS OF WHOLE BLOOD IN AFRICAN AMERICAN AND NON‐HISPANIC WHITE ALZHEIMER DISEASE CASES AND CONTROLS. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.06.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | | | - Farid Rajabli
- John P. Hussman Institute for Human GenomicsUniversity of Miami Miller School of MedicineMiamiFLUSA
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20
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Colgan AM, Kröger C, Diard M, Hardt WD, Puente JL, Sivasankaran SK, Hokamp K, Hinton JCD. The Impact of 18 Ancestral and Horizontally-Acquired Regulatory Proteins upon the Transcriptome and sRNA Landscape of Salmonella enterica serovar Typhimurium. PLoS Genet 2016; 12:e1006258. [PMID: 27564394 PMCID: PMC5001712 DOI: 10.1371/journal.pgen.1006258] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 07/25/2016] [Indexed: 11/24/2022] Open
Abstract
We know a great deal about the genes used by the model pathogen Salmonella enterica serovar Typhimurium to cause disease, but less about global gene regulation. New tools for studying transcripts at the single nucleotide level now offer an unparalleled opportunity to understand the bacterial transcriptome, and expression of the small RNAs (sRNA) and coding genes responsible for the establishment of infection. Here, we define the transcriptomes of 18 mutants lacking virulence-related global regulatory systems that modulate the expression of the SPI1 and SPI2 Type 3 secretion systems of S. Typhimurium strain 4/74. Using infection-relevant growth conditions, we identified a total of 1257 coding genes that are controlled by one or more regulatory system, including a sub-class of genes that reflect a new level of cross-talk between SPI1 and SPI2. We directly compared the roles played by the major transcriptional regulators in the expression of sRNAs, and discovered that the RpoS (σ38) sigma factor modulates the expression of 23% of sRNAs, many more than other regulatory systems. The impact of the RNA chaperone Hfq upon the steady state levels of 280 sRNA transcripts is described, and we found 13 sRNAs that are co-regulated with SPI1 and SPI2 virulence genes. We report the first example of an sRNA, STnc1480, that is subject to silencing by H-NS and subsequent counter-silencing by PhoP and SlyA. The data for these 18 regulatory systems is now available to the bacterial research community in a user-friendly online resource, SalComRegulon. The transcriptional networks and the functions of small regulatory RNAs of Salmonella enterica serovar Typhimurium are being studied intensively. S. Typhimurium is becoming the ideal model pathogen for linking transcriptional and post-transcriptional gene regulation to bacterial virulence. Here, we systematically defined the regulatory factors responsible for controlling the expression of S. Typhimurium coding genes and sRNAs under infection-relevant growth conditions. As well as confirming published regulatory inputs for Salmonella pathogenicity islands, such as the positive role played by Fur in the expression of SPI1, we report, for the first time, the global impact of the FliZ, HilE and PhoB/R transcription factors and identify 124 sRNAs that belong to virulence-associated regulons. We found a subset of genes of known and unknown function that are regulated by both HilD and SsrB, highlighting the cross-talk mechanisms that control Salmonella virulence. An integrative analysis of the regulatory datasets revealed 5 coding genes of unknown function that may play novel roles in virulence. We hope that the SalComRegulon resource will be a dynamic database that will be constantly updated to inspire new hypothesis-driven experimentation, and will contribute to the construction of a comprehensive transcriptional network for S. Typhimurium.
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Affiliation(s)
- Aoife M. Colgan
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
| | - Carsten Kröger
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
| | - Médéric Diard
- Institute of Microbiology, ETH Zürich, Zürich, Switzerland
| | | | - José L. Puente
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de Mexico, Cuernavaca, Morelos, Mexico
| | - Sathesh K. Sivasankaran
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
| | - Karsten Hokamp
- Department of Genetics, School of Genetics and Microbiology, Smurfit Institute of Genetics, Trinity College, Dublin, Ireland
| | - Jay C. D. Hinton
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
- Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
- * E-mail:
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21
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Srikumar S, Kröger C, Hébrard M, Colgan A, Owen SV, Sivasankaran SK, Cameron ADS, Hokamp K, Hinton JCD. RNA-seq Brings New Insights to the Intra-Macrophage Transcriptome of Salmonella Typhimurium. PLoS Pathog 2015; 11:e1005262. [PMID: 26561851 PMCID: PMC4643027 DOI: 10.1371/journal.ppat.1005262] [Citation(s) in RCA: 165] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2015] [Accepted: 10/17/2015] [Indexed: 11/18/2022] Open
Abstract
Salmonella enterica serovar Typhimurium is arguably the world’s best-understood bacterial pathogen. However, crucial details about the genetic programs used by the bacterium to survive and replicate in macrophages have remained obscure because of the challenge of studying gene expression of intracellular pathogens during infection. Here, we report the use of deep sequencing (RNA-seq) to reveal the transcriptional architecture and gene activity of Salmonella during infection of murine macrophages, providing new insights into the strategies used by the pathogen to survive in a bactericidal immune cell. We characterized 3583 transcriptional start sites that are active within macrophages, and highlight 11 of these as candidates for the delivery of heterologous antigens from Salmonella vaccine strains. A majority (88%) of the 280 S. Typhimurium sRNAs were expressed inside macrophages, and SPI13 and SPI2 were the most highly expressed pathogenicity islands. We identified 31 S. Typhimurium genes that were strongly up-regulated inside macrophages but expressed at very low levels during in vitro growth. The SalComMac online resource allows the visualisation of every transcript expressed during bacterial replication within mammalian cells. This primary transcriptome of intra-macrophage S.-Typhimurium describes the transcriptional start sites and the transcripts responsible for virulence traits, and catalogues the sRNAs that may play a role in the regulation of gene expression during infection. The burden of Salmonellosis remains unacceptably high throughout the world and control measures have had limited success. Because Salmonella bacteria can be transmitted from the wider environment to animals and humans, the bacteria encounter diverse environments that include food, water, plant surfaces and the extracellular and intracellular phases of infection of eukaryotic hosts. An intricate transcriptional network has evolved to respond to a variety of environmental signals and control the “right time/ right place” expression of virulence genes. To understand how transcription is rewired during intracellular infection, we determined the primary transcriptome of Salmonella enterica serovar Typhimurium within murine macrophages. We report the coding genes, sRNAs and transcriptional start sites that are expressed within macrophages at 8 hours after infection, and use these to infer gene function. We identified gene promoters that are specifically expressed within macrophages and could drive the intracellular delivery of antigens by S. Typhimurium vaccine strains. These data contribute to our understanding of the mechanisms used by Salmonella to regulate virulence gene expression whilst replicating inside mammalian cells.
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Affiliation(s)
- Shabarinath Srikumar
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
- Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Carsten Kröger
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
- Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Magali Hébrard
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
| | - Aoife Colgan
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
| | - Siân V. Owen
- Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Sathesh K. Sivasankaran
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
| | | | - Karsten Hokamp
- Department of Genetics, School of Genetics and Microbiology, Smurfit Institute of Genetics, Trinity College, Dublin, Ireland
| | - Jay C. D. Hinton
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, Ireland
- Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
- * E-mail:
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22
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Kröger C, Colgan A, Srikumar S, Händler K, Sivasankaran SK, Hammarlöf DL, Canals R, Grissom JE, Conway T, Hokamp K, Hinton JCD. An infection-relevant transcriptomic compendium for Salmonella enterica Serovar Typhimurium. Cell Host Microbe 2014; 14:683-95. [PMID: 24331466 DOI: 10.1016/j.chom.2013.11.010] [Citation(s) in RCA: 330] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Revised: 11/13/2013] [Accepted: 11/21/2013] [Indexed: 11/15/2022]
Abstract
Bacterial transcriptional networks consist of hundreds of transcription factors and thousands of promoters. However, the true complexity of transcription in a bacterial pathogen and the effect of the environments encountered during infection remain to be established. We present a simplified approach for global promoter identification in bacteria using RNA-seq-based transcriptomic analyses of 22 distinct infection-relevant environmental conditions. Individual RNA samples were combined to identify most of the 3,838 Salmonella enterica serovar Typhimurium promoters in just two RNA-seq runs. Individual in vitro conditions stimulated characteristic transcriptional signatures, and the suite of 22 conditions induced transcription of 86% of all S. Typhimurium genes. We highlight the environmental conditions that induce the Salmonella pathogenicity islands and present a small RNA expression landscape of 280 sRNAs. This publicly available compendium of environmentally controlled expression of every transcriptional feature of S. Typhimurium constitutes a useful resource for the bacterial research community.
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Affiliation(s)
- Carsten Kröger
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Aoife Colgan
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Shabarinath Srikumar
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Kristian Händler
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Sathesh K Sivasankaran
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Disa L Hammarlöf
- Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
| | - Rocío Canals
- Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
| | - Joe E Grissom
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA
| | - Tyrrell Conway
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA
| | - Karsten Hokamp
- Department of Genetics, School of Genetics & Microbiology, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Jay C D Hinton
- Department of Microbiology, School of Genetics & Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Dublin 2, Ireland; Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
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23
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Kröger C, Dillon SC, Cameron ADS, Papenfort K, Sivasankaran SK, Hokamp K, Chao Y, Sittka A, Hébrard M, Händler K, Colgan A, Leekitcharoenphon P, Langridge GC, Lohan AJ, Loftus B, Lucchini S, Ussery DW, Dorman CJ, Thomson NR, Vogel J, Hinton JCD. The transcriptional landscape and small RNAs of Salmonella enterica serovar Typhimurium. Proc Natl Acad Sci U S A 2012; 109:E1277-86. [PMID: 22538806 PMCID: PMC3356629 DOI: 10.1073/pnas.1201061109] [Citation(s) in RCA: 301] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
More than 50 y of research have provided great insight into the physiology, metabolism, and molecular biology of Salmonella enterica serovar Typhimurium (S. Typhimurium), but important gaps in our knowledge remain. It is clear that a precise choreography of gene expression is required for Salmonella infection, but basic genetic information such as the global locations of transcription start sites (TSSs) has been lacking. We combined three RNA-sequencing techniques and two sequencing platforms to generate a robust picture of transcription in S. Typhimurium. Differential RNA sequencing identified 1,873 TSSs on the chromosome of S. Typhimurium SL1344 and 13% of these TSSs initiated antisense transcripts. Unique findings include the TSSs of the virulence regulators phoP, slyA, and invF. Chromatin immunoprecipitation revealed that RNA polymerase was bound to 70% of the TSSs, and two-thirds of these TSSs were associated with σ(70) (including phoP, slyA, and invF) from which we identified the -10 and -35 motifs of σ(70)-dependent S. Typhimurium gene promoters. Overall, we corrected the location of important genes and discovered 18 times more promoters than identified previously. S. Typhimurium expresses 140 small regulatory RNAs (sRNAs) at early stationary phase, including 60 newly identified sRNAs. Almost half of the experimentally verified sRNAs were found to be unique to the Salmonella genus, and <20% were found throughout the Enterobacteriaceae. This description of the transcriptional map of SL1344 advances our understanding of S. Typhimurium, arguably the most important bacterial infection model.
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Affiliation(s)
- Carsten Kröger
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Shane C. Dillon
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Andrew D. S. Cameron
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Kai Papenfort
- Institute for Molecular Infection Biology, University of Würzburg, 97080 Würzburg, Germany
| | - Sathesh K. Sivasankaran
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Karsten Hokamp
- Department of Genetics, School of Genetics and Microbiology, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Yanjie Chao
- Institute for Molecular Infection Biology, University of Würzburg, 97080 Würzburg, Germany
| | - Alexandra Sittka
- Molecular Pulmonology, Universities of Giessen and Marburg Lung Center, German Center for Lung Research, Philipps University, 35043 Marburg, Germany
| | - Magali Hébrard
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Kristian Händler
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Aoife Colgan
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Pimlapas Leekitcharoenphon
- Department of Systems Biology, Center for Biological Sequence Analysis, and
- National Food Institute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Gemma C. Langridge
- The Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Amanda J. Lohan
- School of Medicine and Medical Science, Conway Institute, University College Dublin, Dublin 4, Ireland; and
| | - Brendan Loftus
- School of Medicine and Medical Science, Conway Institute, University College Dublin, Dublin 4, Ireland; and
| | - Sacha Lucchini
- Institute of Food Research, Colney, Norwich NR4 7UA, United Kingdom
| | - David W. Ussery
- Department of Systems Biology, Center for Biological Sequence Analysis, and
| | - Charles J. Dorman
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
| | - Nicholas R. Thomson
- The Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, United Kingdom
| | - Jörg Vogel
- Institute for Molecular Infection Biology, University of Würzburg, 97080 Würzburg, Germany
| | - Jay C. D. Hinton
- Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, and
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Hébrard M, Kröger C, Sivasankaran SK, Händler K, Hinton JCD. The challenge of relating gene expression to the virulence of Salmonella enterica serovar Typhimurium. Curr Opin Biotechnol 2011; 22:200-10. [PMID: 21388802 DOI: 10.1016/j.copbio.2011.02.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2010] [Revised: 02/04/2011] [Accepted: 02/10/2011] [Indexed: 12/15/2022]
Abstract
The first decade of transcriptomic studies of Salmonella enterica serovar Typhimurium focused upon gene expression in vitro, and during the infection of mammalian cells. The published regulons and stimulons show that the three Type Three Secretion Systems of S. Typhimurium respond to a diverse range of environmental conditions, and are controlled by a hierarchy of regulatory proteins. The integration of in vitro generated transcriptomic data with global gene expression of S. Typhimurium during infection is beginning to yield valuable information. The coordinated regulation of Salmonella gene expression is a key process for survival, adaptation and virulence capacities of the pathogen.
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Affiliation(s)
- Magali Hébrard
- Department of Microbiology, Moyne Institute of Preventive Medicine, School of Genetics & Microbiology, Trinity College, Dublin 2, Ireland
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