RECON gene disruption enhances host resistance to enable genome-wide evaluation of intracellular pathogen fitness during infection Article Swipe
Chelsea E. Stamm
,
Adelle P. McFarland
,
Melissa N. Locke
,
Hannah Tabakh
,
Qing Tang
,
Maureen K. Thomason
,
Joshua J. Woodward
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1128/mbio.01332-24
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1128/mbio.01332-24
Transposon sequencing (Tn-seq) is a powerful genome-wide technique to assess bacterial fitness under varying growth conditions. However, screening via Tn-seq in vivo is challenging. Dose limitations and host restrictions create bottlenecks that diminish the transposon mutant pool being screened. Here, we have developed a murine model with a disruption in Akr1c13 that renders the resulting RECON −/− mouse resistant to high-dose infection. We leveraged this model to perform a Tn-seq screen of the human pathogen Listeria monocytogenes in vivo . We identified 135 genes which were required for L. monocytogenes growth in mice including novel genes not previously identified for host survival. We identified organ-specific requirements for L. monocytogenes survival and investigated the role of the folate enzyme FolD in L. monocytogenes liver pathogenesis. A mutant lacking folD was impaired for growth in murine livers by 2.5-log 10 compared to wild type and failed to spread cell-to-cell in fibroblasts. In contrast, a mutant in alsR, which encodes a transcription factor that represses an operon involved in D-allose catabolism, was attenuated in both livers and spleens of mice by 4-log 10 and 3-log 10 , respectively, but showed modest phenotypes in in vitro models. We confirmed that dysregulation of the D-allose catabolism operon is responsible for the in vivo growth defect, as deletion of the operon in the ∆ alsR background rescued virulence. By undertaking an unbiased, genome-wide screen in mice, we have identified novel fitness determinants for L. monocytogenes host infection, which highlights the utility of the RECON −/− mouse model for future screening efforts. IMPORTANCE Listeria monocytogenes is the gram-positive bacterium responsible for the food-borne disease listeriosis. Although infections with L. monocytogenes are limiting in healthy hosts, vulnerable populations, including pregnant and elderly people, can experience high rates of mortality. Thus, understanding the breadth of genetic requirements for L. monocytogenes in vivo survival will present new opportunities for treatment and prevention of listeriosis. We developed a murine model of infection using a RECON −/− mouse that is restrictive to systemic L. monocytogenes infection. We utilized this model to screen for L. monocytogenes genes required in vivo via transposon sequencing. We identified the liver-specific gene folD and a repressor, alsR , that only exhibits an in vivo growth defect. AlsR controls the expression of the D-allose operon which is a marker in diagnostic techniques to identify pathogenic Listeria . A better understanding of the role of the D-allose operon in human disease may further inform diagnostic and prevention measures.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1128/mbio.01332-24
- OA Status
- gold
- Cited By
- 5
- References
- 75
- Related Works
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- OpenAlex ID
- https://openalex.org/W4400119087
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400119087Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1128/mbio.01332-24Digital Object Identifier
- Title
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RECON gene disruption enhances host resistance to enable genome-wide evaluation of intracellular pathogen fitness during infectionWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-28Full publication date if available
- Authors
-
Chelsea E. Stamm, Adelle P. McFarland, Melissa N. Locke, Hannah Tabakh, Qing Tang, Maureen K. Thomason, Joshua J. WoodwardList of authors in order
- Landing page
-
https://doi.org/10.1128/mbio.01332-24Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1128/mbio.01332-24Direct OA link when available
- Concepts
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Pathogen, Genome, Gene, Biology, Host (biology), Intracellular, Computational biology, Microbiology, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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75Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.perform | 68 |
| abstract_inverted_index.present | 306 |
| abstract_inverted_index.renders | 53 |
| abstract_inverted_index.rescued | 221 |
| abstract_inverted_index.spleens | 175 |
| abstract_inverted_index.utility | 245 |
| abstract_inverted_index.varying | 14 |
| abstract_inverted_index.−/− | 57, 249, 325 |
| abstract_inverted_index.(Tn-seq) | 3 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.Although | 269 |
| abstract_inverted_index.D-allose | 167, 200, 376, 398 |
| abstract_inverted_index.However, | 17 |
| abstract_inverted_index.Listeria | 76, 257, 388 |
| abstract_inverted_index.compared | 139 |
| abstract_inverted_index.controls | 371 |
| abstract_inverted_index.deletion | 212 |
| abstract_inverted_index.diminish | 33 |
| abstract_inverted_index.efforts. | 255 |
| abstract_inverted_index.exhibits | 364 |
| abstract_inverted_index.identify | 386 |
| abstract_inverted_index.impaired | 130 |
| abstract_inverted_index.involved | 165 |
| abstract_inverted_index.limiting | 275 |
| abstract_inverted_index.pathogen | 75 |
| abstract_inverted_index.powerful | 6 |
| abstract_inverted_index.pregnant | 282 |
| abstract_inverted_index.required | 87, 345 |
| abstract_inverted_index.survival | 110, 304 |
| abstract_inverted_index.systemic | 331 |
| abstract_inverted_index.utilized | 336 |
| abstract_inverted_index.bacterial | 11 |
| abstract_inverted_index.bacterium | 262 |
| abstract_inverted_index.confirmed | 195 |
| abstract_inverted_index.contrast, | 151 |
| abstract_inverted_index.developed | 43, 316 |
| abstract_inverted_index.high-dose | 61 |
| abstract_inverted_index.including | 94, 281 |
| abstract_inverted_index.infection | 321 |
| abstract_inverted_index.leveraged | 64 |
| abstract_inverted_index.measures. | 409 |
| abstract_inverted_index.represses | 162 |
| abstract_inverted_index.resistant | 59 |
| abstract_inverted_index.resulting | 55 |
| abstract_inverted_index.screened. | 39 |
| abstract_inverted_index.screening | 18, 254 |
| abstract_inverted_index.survival. | 102 |
| abstract_inverted_index.technique | 8 |
| abstract_inverted_index.treatment | 310 |
| abstract_inverted_index.unbiased, | 226 |
| abstract_inverted_index.IMPORTANCE | 256 |
| abstract_inverted_index.Transposon | 1 |
| abstract_inverted_index.attenuated | 170 |
| abstract_inverted_index.background | 220 |
| abstract_inverted_index.catabolism | 201 |
| abstract_inverted_index.diagnostic | 383, 406 |
| abstract_inverted_index.disruption | 49 |
| abstract_inverted_index.experience | 287 |
| abstract_inverted_index.expression | 373 |
| abstract_inverted_index.food-borne | 266 |
| abstract_inverted_index.highlights | 243 |
| abstract_inverted_index.identified | 82, 99, 104, 233, 352 |
| abstract_inverted_index.infection, | 241 |
| abstract_inverted_index.infection. | 62, 334 |
| abstract_inverted_index.infections | 270 |
| abstract_inverted_index.mortality. | 291 |
| abstract_inverted_index.pathogenic | 387 |
| abstract_inverted_index.phenotypes | 189 |
| abstract_inverted_index.prevention | 312, 408 |
| abstract_inverted_index.previously | 98 |
| abstract_inverted_index.repressor, | 359 |
| abstract_inverted_index.sequencing | 2 |
| abstract_inverted_index.techniques | 384 |
| abstract_inverted_index.transposon | 35, 349 |
| abstract_inverted_index.virulence. | 222 |
| abstract_inverted_index.vulnerable | 279 |
| abstract_inverted_index.bottlenecks | 31 |
| abstract_inverted_index.catabolism, | 168 |
| abstract_inverted_index.conditions. | 16 |
| abstract_inverted_index.genome-wide | 7, 227 |
| abstract_inverted_index.limitations | 26 |
| abstract_inverted_index.responsible | 204, 263 |
| abstract_inverted_index.restrictive | 329 |
| abstract_inverted_index.sequencing. | 350 |
| abstract_inverted_index.undertaking | 224 |
| abstract_inverted_index.cell-to-cell | 147 |
| abstract_inverted_index.challenging. | 24 |
| abstract_inverted_index.determinants | 236 |
| abstract_inverted_index.fibroblasts. | 149 |
| abstract_inverted_index.investigated | 112 |
| abstract_inverted_index.listeriosis. | 268, 314 |
| abstract_inverted_index.populations, | 280 |
| abstract_inverted_index.requirements | 106, 298 |
| abstract_inverted_index.restrictions | 29 |
| abstract_inverted_index.dysregulation | 197 |
| abstract_inverted_index.gram-positive | 261 |
| abstract_inverted_index.monocytogenes | 77, 90, 109, 122, 239, 258, 273, 301, 333, 343 |
| abstract_inverted_index.opportunities | 308 |
| abstract_inverted_index.pathogenesis. | 124 |
| abstract_inverted_index.respectively, | 185 |
| abstract_inverted_index.transcription | 159 |
| abstract_inverted_index.understanding | 293, 392 |
| abstract_inverted_index.liver-specific | 354 |
| abstract_inverted_index.organ-specific | 105 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.83115365 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |