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Bacterial community temporal dynamics and disease-related variations in the seawater of Pyropia (laver) seedling pools

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Abstract

Conchocelis cultivation is a crucial step in the industrial growth of Pyropia (laver). However, our knowledge of the seawater microbiology community in Pyropia seedling pools is limited. This study investigated the temporal dynamics in seedling pool microbiota before and after outbreaks of yellow spot disease in Pyropia yezoensis conchocelis. A total of 18 water samples were collected to assess seedling pool health status, followed by the sequencing of microbiota 16S ribosomal RNA (rRNA). Analysis of 16,760,224 16S rRNA gene sequences indicated that the core microbe group comprised 207 genera. The microbial diversity of samples gradually increased from May to July. The bacterial diversity of seawater samples from diseased P. yezoensis seedling pools was significantly higher than samples from healthy seedling pools. It is noteworthy that each pool group had a distinctive microbial community composition. The relative abundance of two dominant bacteria genera, Sediminicola and Roseivirga, increased over time in healthy seedling pools, peaking in August, while Vibrio remained at constantly low levels. However, the abundance of Vibrio and Polaribacter increased sharply in diseased P. yezoensis seedling pools and decreased after fresh seawater exchange. This indicates that these bacteria are probably associated with the filament disease. Many disease-associated bacteria are negatively related to the HCO3 concentration in seawater and positively related to pH. Changes in bacteria and environmental factors reflect the characteristics of microbial community succession in seedling pools and therefore have potential to be used as biomarkers and environmental signals for Pyropia disease monitoring.

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Acknowledgements

This research was supported by the Fundamental Research Funds for the Central Universities (grant no. 2652015166 to XG), the Jiangsu Science and Technology Infrastructure Construction Project (grant no. BM2015017) and the Jiangsu Agriculture Science and Technology Innovation Fund (grant no. CX(16)1018 to QL), and the Nantong Science and Technology Project (grant no. MS12015068 to CH). The authors are particularly grateful to Lingling Hou and Fei Liu for their assistance with 16S rRNA sequencing and water quality monitoring.

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Correspondence to Xiangyu Guan or Qinqin Lu.

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Table S1

(DOCX 24 kb)

Table S2

(DOCX 26 kb)

Table S3

(XLSX 87 kb)

Figure S1

Shell-boring conchocelis suffering yellow-spot disease. (JPEG 289 kb)

Figure S2

Data size of each sample group (mean ± SD). (PDF 265 kb)

Figure S3

Length distribution of all sequences merged from paired-end reads. Paired-end reads were merged into a long sequence according to the overlap of each pair of reads.(PDF 172 kb)

Figure S4

Estimated coverage of sequencing based on OTU observations (97% similarity). (PDF 170 kb)

Figure S5

Shared and unique bacterial genera in healthy seedling pools. (PDF 493 kb)

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Guan, X., Zhou, W., Hu, C. et al. Bacterial community temporal dynamics and disease-related variations in the seawater of Pyropia (laver) seedling pools. J Appl Phycol 30, 1217–1224 (2018). https://doi.org/10.1007/s10811-017-1272-6

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  • DOI: https://doi.org/10.1007/s10811-017-1272-6

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