JOURNAL ARTICLE

Gothic Mycology and Posthuman Ethics in Poe's "The Fall of the House of Usher".

  • Published In: Poe Studies: History, Theory, Interpretation, 2024, v. 57. P. 21 1 of 3

  • Database: Humanities Source Ultimate 2 of 3

  • Authored By: Kniss, Ashley 3 of 3

Abstract

In light of the recent popularity of fungi in ecohorror literature and film, this essay coins the term "Gothic mycology" to describe instances of human-fungal hybridity that suggest posthuman entanglement and symbiosis, using Edgar Allan Poe's "The Fall of the House of Usher" as an early and exemplary illustration. Gothic mycology is frightening due to the very nature of fungi themselves: they resist categories, being more closely related to animals than plant life; they proliferate at seemingly unnatural rates; they grow in darkness; they are agents of decomposition; they are mysterious, chthonic, and Other. However, Gothic mycology is also inherently hopeful, offering a glimpse of how we might reimagine our entanglement with the nonhuman that goes beyond mere posthuman hybridity and embraces instead a novel becoming. Poe's tale undermines anthropocentric individualism and prioritizes human entanglement through the fungal colonization of both house and human. In doing so, Poe's tale transgresses the boundary of what defines the human and suggests the necessity, or, perhaps more accurately, the current reality of our hybrid, dependent, and symbiotic relationship with the more-than-human. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Poe Studies: History, Theory, Interpretation. 2024/01, Vol. 57, p21
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2024
  • ISSN:19474644
  • DOI:10.1353/poe.2024.a938997
  • Accession Number:180148120
  • Copyright Statement:Copyright of Poe Studies: History, Theory, Interpretation is the property of Johns Hopkins University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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