<p>The microbial community on seaweeds is vital for the host’s growth, metabolism, and defense, and dysbiosis can lead to disease outbreaks. Analyzing the microbial community and identifying the pathogenic bacteria for diseased farmed seaweeds remains essential. In this study we characterized epiphytic microbial communities and surrounding seawater microbial communities associated with green rot diseased sporelings of farmed <i>Saccharina japonica</i> and identified causative bacteria by combining 16S and 18S rRNA gene amplicon sequencing with traditional culture-dependent method and infection assays. The results show that green rot diseased sporelings exhibited green, decayed tissues, with chloroplasts aggregating along the cell wall. Both prokaryotic and eukaryotic communities of diseased sporelings and their surrounding seawater displayed clear shifts in composition and diversity compared to the healthy ones. Prokaryotic <i>Bdellovibrio, Thalassospira</i> and eukaryotic <i>Strombidium</i>, <i>unclassified_Thraustochytriidae, Pseudophyllomitus</i> were identified as indicator taxa for diseased sporelings and their surrounding seawater. Rhodobacterales and Thraustochytriaceae were identified as disease-associated core taxa and the number of core ASVs (amplicon sequence variants) decreased in diseased sporelings and their surrounding seawater. 19 isolated bacterial strains were identified as pathogenic strains, including 18 <i>Pseudoalteromonas</i> strains and one <i>Vibrio</i> strain. <i>Pseudoalteromonas carrageenovora</i>, <i>Pseudoalteromonas hodoensis</i>, and <i>Vibrio atlanticus</i> were identified for the first time as pathogenic bacteria for <i>S. japonica</i>. Our results identified microbial signatures of green rot disease and identified pathogenic bacteria, enriching baseline knowledge and supporting the development of monitoring technology to control the outbreaks of green rot disease in the future.</p>

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Microbial community and identification of microbial ‘signatures’ causing green rot disease in Saccharina japonica sporelings

  • Jiazhen Guan,
  • Mengxin Wang,
  • Lirong Chang,
  • Zichen Jiang,
  • Yajing Dong,
  • Teng Guo,
  • Weifeng Gong,
  • Mahasweta Saha,
  • Gaoge Wang

摘要

The microbial community on seaweeds is vital for the host’s growth, metabolism, and defense, and dysbiosis can lead to disease outbreaks. Analyzing the microbial community and identifying the pathogenic bacteria for diseased farmed seaweeds remains essential. In this study we characterized epiphytic microbial communities and surrounding seawater microbial communities associated with green rot diseased sporelings of farmed Saccharina japonica and identified causative bacteria by combining 16S and 18S rRNA gene amplicon sequencing with traditional culture-dependent method and infection assays. The results show that green rot diseased sporelings exhibited green, decayed tissues, with chloroplasts aggregating along the cell wall. Both prokaryotic and eukaryotic communities of diseased sporelings and their surrounding seawater displayed clear shifts in composition and diversity compared to the healthy ones. Prokaryotic Bdellovibrio, Thalassospira and eukaryotic Strombidium, unclassified_Thraustochytriidae, Pseudophyllomitus were identified as indicator taxa for diseased sporelings and their surrounding seawater. Rhodobacterales and Thraustochytriaceae were identified as disease-associated core taxa and the number of core ASVs (amplicon sequence variants) decreased in diseased sporelings and their surrounding seawater. 19 isolated bacterial strains were identified as pathogenic strains, including 18 Pseudoalteromonas strains and one Vibrio strain. Pseudoalteromonas carrageenovora, Pseudoalteromonas hodoensis, and Vibrio atlanticus were identified for the first time as pathogenic bacteria for S. japonica. Our results identified microbial signatures of green rot disease and identified pathogenic bacteria, enriching baseline knowledge and supporting the development of monitoring technology to control the outbreaks of green rot disease in the future.