IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p8034-d596800.html
   My bibliography  Save this article

Rodent Virus Diversity and Differentiation across Post-Katrina New Orleans

Author

Listed:
  • Anna C. Peterson

    (Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, USA)

  • Himanshu Sharma

    (Center for Vaccines and Immunity, The Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA)

  • Arvind Kumar

    (Center for Vaccines and Immunity, The Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA)

  • Bruno M. Ghersi

    (Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, USA)

  • Scott J. Emrich

    (Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA)

  • Kurt J. Vandegrift

    (Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA 16802, USA)

  • Amit Kapoor

    (Center for Vaccines and Immunity, The Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA
    Department of Pediatrics, College of Medicine and Public Health, Ohio State University, Columbus, OH 43210, USA)

  • Michael J. Blum

    (Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, USA)

Abstract

Concern about elevated disease risk following disasters has been growing with the progression of global trends in urbanization and climate, in part because shifts in socioecological conditions can promote greater human contact with pathogen reservoirs in cities. Remarkably little is known, however, about the diversity and distributions of pathogens carried by commensal reservoirs across disaster-affected urban landscapes. To address this deficit, we characterized the assemblage structure of viruses in the serum of three widespread commensal rodents ( Rattus norvegicus , Rattus rattus , and Mus musculus ) that were trapped in New Orleans (LA, USA) following Hurricane Katrina. We assessed virus diversity and differentiation according to host species identity, co-occurrence and abundance, as well as prevailing landscape features known to shape urban rodent assemblages. We detected ≥34 viruses in total, including several pathogens of concern, through metagenomic analysis of serum taken from ≥149 individuals of each host species. We found that virus richness as well as assemblage composition and spatial differentiation differed by host species. Notably, we detected associations with host species co-occurrence and abundance, and while we found that assemblage structure varied by study area, we did not detect strong associations with landscape features known to influence rodent hosts. Evidence that virus diversity and assemblage structure reflect host identity more so than other factors indicates that biotic benchmarks might serve as prognostic indicators of post-disaster pathogen exposure risk in cities worldwide.

Suggested Citation

  • Anna C. Peterson & Himanshu Sharma & Arvind Kumar & Bruno M. Ghersi & Scott J. Emrich & Kurt J. Vandegrift & Amit Kapoor & Michael J. Blum, 2021. "Rodent Virus Diversity and Differentiation across Post-Katrina New Orleans," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8034-:d:596800
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/8034/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/14/8034/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexandra Gulachenski & Bruno M. Ghersi & Amy E. Lesen & Michael J. Blum, 2016. "Abandonment, Ecological Assembly and Public Health Risks in Counter-Urbanizing Cities," Sustainability, MDPI, vol. 8(5), pages 1-26, May.
    2. Kevin Fox Gotham, 2014. "Reinforcing Inequalities: The Impact of the CDBG Program on Post-Katrina Rebuilding," Housing Policy Debate, Taylor & Francis Journals, vol. 24(1), pages 192-212, January.
    3. Kevin J. Olival & Parviez R. Hosseini & Carlos Zambrana-Torrelio & Noam Ross & Tiffany L. Bogich & Peter Daszak, 2017. "Host and viral traits predict zoonotic spillover from mammals," Nature, Nature, vol. 546(7660), pages 646-650, June.
    4. James B. Elsner & James P. Kossin & Thomas H. Jagger, 2008. "The increasing intensity of the strongest tropical cyclones," Nature, Nature, vol. 455(7209), pages 92-95, September.
    5. Kate E. Jones & Nikkita G. Patel & Marc A. Levy & Adam Storeygard & Deborah Balk & John L. Gittleman & Peter Daszak, 2008. "Global trends in emerging infectious diseases," Nature, Nature, vol. 451(7181), pages 990-993, February.
    6. Goslee, Sarah C. & Urban, Dean L., 2007. "The ecodist Package for Dissimilarity-based Analysis of Ecological Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i07).
    7. Paul J McMurdie & Susan Holmes, 2014. "Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-12, April.
    8. Mark E. Torchin & Kevin D. Lafferty & Andrew P. Dobson & Valerie J. McKenzie & Armand M. Kuris, 2003. "Introduced species and their missing parasites," Nature, Nature, vol. 421(6923), pages 628-630, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin Zhang & Jason Rohr & Ruina Cui & Yusi Xin & Lixia Han & Xiaona Yang & Shimin Gu & Yuanbao Du & Jing Liang & Xuyu Wang & Zhengjun Wu & Qin Hao & Xuan Liu, 2022. "Biological invasions facilitate zoonotic disease emergences," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Frauke Ecke & Barbara A. Han & Birger Hörnfeldt & Hussein Khalil & Magnus Magnusson & Navinder J. Singh & Richard S. Ostfeld, 2022. "Population fluctuations and synanthropy explain transmission risk in rodent-borne zoonoses," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Reaser, Jamie & Tabor, Gary M. & Becker, Daniel & Muruthi, Philip & Witt, Arne & Woodley, Stephen J. & Ruiz-Aravena, Manuel & Patz, Jonathan Alan MD, MPH & Hickey, Valerie & Hudson, Peter, 2020. "Land use-induced spillover: priority actions for protected and conserved area managers," EcoEvoRxiv bmfhw, Center for Open Science.
    4. David, S.A. & Inácio Jr., C.M.C. & Tenreiro Machado, José A., 2021. "The recovery of global stock markets indices after impacts due to pandemics," Research in International Business and Finance, Elsevier, vol. 55(C).
    5. Voinson, Marina & Smadi, Charline & Billiard, Sylvain, 2022. "How does the host community structure affect the epidemiological dynamics of emerging infectious diseases?," Ecological Modelling, Elsevier, vol. 472(C).
    6. Barbier, Edward B., 2021. "Habitat loss and the risk of disease outbreak," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    7. Aaron C Ericsson & J Wade Davis & William Spollen & Nathan Bivens & Scott Givan & Catherine E Hagan & Mark McIntosh & Craig L Franklin, 2015. "Effects of Vendor and Genetic Background on the Composition of the Fecal Microbiota of Inbred Mice," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-19, February.
    8. Nikolett Orosz & Tünde Tóthné Tóth & Gyöngyi Vargáné Gyuró & Zsoltné Tibor Nábrádi & Klára Hegedűsné Sorosi & Zsuzsa Nagy & Éva Rigó & Ádám Kaposi & Gabriella Gömöri & Cornelia Melinda Adi Santoso & A, 2022. "Comparison of Length of Hospital Stay for Community-Acquired Infections Due to Enteric Pathogens, Influenza Viruses and Multidrug-Resistant Bacteria: A Cross-Sectional Study in Hungary," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    9. Mudassar Arsalan & Omar Mubin & Fady Alnajjar & Belal Alsinglawi, 2020. "COVID-19 Global Risk: Expectation vs. Reality," IJERPH, MDPI, vol. 17(15), pages 1-10, August.
    10. Bucher, Axel & El Ghouch, Anouar & Van Keilegom, Ingrid, 2014. "Single-index quantile regression models for censored data," LIDAM Discussion Papers ISBA 2014001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    11. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.
    12. Duo Jiang & Thomas Sharpton & Yuan Jiang, 2021. "Microbial Interaction Network Estimation via Bias-Corrected Graphical Lasso," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 329-350, July.
    13. John M Drake & Tobias S Brett & Shiyang Chen & Bogdan I Epureanu & Matthew J Ferrari & Éric Marty & Paige B Miller & Eamon B O’Dea & Suzanne M O’Regan & Andrew W Park & Pejman Rohani, 2019. "The statistics of epidemic transitions," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-14, May.
    14. Ongolo, Symphorien & Giessen, Lukas & Karsenty, Alain & Tchamba, Martin & Krott, Max, 2021. "Forestland policies and politics in Africa: Recent evidence and new challenges," Forest Policy and Economics, Elsevier, vol. 127(C).
    15. S. Seo, 2014. "Estimating Tropical Cyclone Damages Under Climate Change in the Southern Hemisphere Using Reported Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(3), pages 473-490, July.
    16. Makena Coffman & Ilan Noy, 2009. "In the Eye of the Storm: Coping with Future Natural Disasters in Hawaii," Working Papers 200904, University of Hawaii at Manoa, Department of Economics.
    17. De Backer, Mickael & El Ghouch, Anouar & Van Keilegom, Ingrid, 2017. "An Adapted Loss Function for Censored Quantile Regression," LIDAM Discussion Papers ISBA 2017003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Paige, Sarah B. & Malavé, Carly & Mbabazi, Edith & Mayer, Jonathan & Goldberg, Tony L., 2015. "Uncovering zoonoses awareness in an emerging disease ‘hotspot’," Social Science & Medicine, Elsevier, vol. 129(C), pages 78-86.
    19. Yi Li & Youmin Tang & Shuai Wang & Ralf Toumi & Xiangzhou Song & Qiang Wang, 2023. "Recent increases in tropical cyclone rapid intensification events in global offshore regions," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    20. Jianhua Wang & Guan-Zhu Han, 2023. "Genome mining shows that retroviruses are pervasively invading vertebrate genomes," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8034-:d:596800. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.