The ice-ice disease black box: a disease complex triggered by bacterial associations in an ex situ milieu of biobanked Kappaphycus alvarezii
Clicks: 3
ID: 320494
2026
Article Quality & Performance Metrics
Overall Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
0.0
/100
0 views
0 readers
AI Quality Assessment
Not analyzed
Abstract
Abstract Ice-ice disease (IID) is widely associated with environmental stress and microbial presence in seaweed farms, but its expression under ex situ conditions remains poorly understood. This study examined the associated culturable bacterial community in independently maintained K. alvarezii stock cultures classified as healthy or diseased based on characteristic symptoms. Bacteria were isolated from healthy tissue, diseased tissue, and their corresponding bulk waters, identified using 16S rRNA gene sequencing, and analyzed through phylogenetic reconstruction, species richness estimation, and community similarity metrics. A total of 31 bacterial isolates representing six unique taxa were recovered. Diseased tissue exhibited higher bacterial richness and a distinct tissue-associated bacterial composition compared with healthy tissue. Healthy tissue exclusively harbored Rossellomorea aquimaris, whereas diseased tissue contained Vibrio and Photobacterium species, with representative isolates showing agarolytic and carrageenanolytic activity. In contrast, bulk waters from healthy and diseased cultures contained Pseudoalteromonas species. Although the study focuses on microbial associations, the emergence of IID under controlled gene bank conditions highlights the potential interaction of host condition, culture environment, routine handling, and opportunistic bacteria. Together, these factors illustrate the “black box” dynamics of IID in ex situ conditions and provide insights for disease monitoring and management in seaweed gene banks.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (198 words).
Try re-searching for a better abstract.
| Reference Key |
openalex_W7167885535
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | R. Aguilar, Danzell V Paras, Michael Y. Roleda |
| Journal | FEMS microbiology letters |
| Year | 2026 |
| DOI |
10.1093/femsle/fnag080
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.