Quantitative detection of Pythium porphyrae and Pythium chondricola (Oomycota), the causative agents of red rot disease in Pyropia farms in China

Red rot disease is one of the notorious algal diseases that threaten the cultivation of <i>Pyropia</i> in China, and two <i>Pythium pathogens</i>, i.e., <i>Pythium porphyrae</i> and <i>P. chondricola</i>, have been reported as causative agents. To monitor the pathogens, a fluorescent quantitative polymerase chain reaction (PCR) method was developed to quantitatively detect their abundance. Using overlapping PCR and pathogen-specific primer pairs, two pathogen-specific fragments were concatenated to construct an internal standard plasmid, which was used for quantification. For zoospores of known numbers, the results showed that this method can detect as less as 100 and 10 zoospores mL<sup>-1</sup> in a 200 mL solution for <i>P. porphyrae</i> and <i>P. chondricola</i>, respectively. Using monthly collected seawater at 10 sites in Haizhou Bay, a typical aquaculture farm in China, a significantly higher temperature and a significantly lower salinity were determined in December 2021. <i>P. porphyrae</i> was determined to be more abundant than <i>P. chondricola</i>, though with similar temporal distribution patterns from December 2021 to February 2022. When a red rot disease occurred in December 2021, the two pathogens were significantly more abundant at two infected sub-sites than the uninfected sub-site within both seawater and sediment, though they were all significantly more enriched in sediment than in seawater. The present method provides the capability to quantify and compare the abundance of two pathogens and also has the potential to forecast the occurrence of red rot disease, which is of much significance in managing and controlling the disease.

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Publication Details

Journal
ALGAE
Published
2024-09-15
DOI
https://doi.org/10.4490/algae.2024.39.8.26
Citations
3
Primary Topic
Plant Pathogens and Resistance
Type
article
Field-Weighted Citation Impact
1.80
Controls
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article

Quantitative detection of Pythium porphyrae and Pythium chondricola (Oomycota), the causative agents of red rot disease in Pyropia farms in China

Sudong Xia, Jie Liu, Jie Li, Huichao Yang et al.
3 citations
ALGAE
Plant Pathogens and Resistance
1.80
article

Quantitative detection of Pythium porphyrae and Pythium chondricola (Oomycota), the causative agents of red rot disease in Pyropia farms in China

Sudong Xia, Jie Liu, Jie Li, Huichao Yang, Yongwei Yan, Zhaolan Mo
article en
3 citations

Abstract

Red rot disease is one of the notorious algal diseases that threaten the cultivation of <i>Pyropia</i> in China, and two <i>Pythium pathogens</i>, i.e., <i>Pythium porphyrae</i> and <i>P. chondricola</i>, have been reported as causative agents. To monitor the pathogens, a fluorescent quantitative polymerase chain reaction (PCR) method was developed to quantitatively detect their abundance. Using overlapping PCR and pathogen-specific primer pairs, two pathogen-specific fragments were concatenated to construct an internal standard plasmid, which was used for quantification. For zoospores of known numbers, the results showed that this method can detect as less as 100 and 10 zoospores mL<sup>-1</sup> in a 200 mL solution for <i>P. porphyrae</i> and <i>P. chondricola</i>, respectively. Using monthly collected seawater at 10 sites in Haizhou Bay, a typical aquaculture farm in China, a significantly higher temperature and a significantly lower salinity were determined in December 2021. <i>P. porphyrae</i> was determined to be more abundant than <i>P. chondricola</i>, though with similar temporal distribution patterns from December 2021 to February 2022. When a red rot disease occurred in December 2021, the two pathogens were significantly more abundant at two infected sub-sites than the uninfected sub-site within both seawater and sediment, though they were all significantly more enriched in sediment than in seawater. The present method provides the capability to quantify and compare the abundance of two pathogens and also has the potential to forecast the occurrence of red rot disease, which is of much significance in managing and controlling the disease.

ALGAEVol. 39(3)
Tianjin Agricultural University (CN), Chinese Academy of Fishery Sciences (CN)
Openalex Percentile: Top 13%
Plant Pathogens and Resistance
1.80
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