AI Article Synopsis

  • Understanding the composition and distribution of marine bacterioplankton is crucial for predicting ecosystem responses to environmental changes.
  • Researchers used 16S rRNA metabarcoding to analyze seawater samples from Jeju Island, South Korea, over several months in 2013, identifying 1343 operational taxonomic units (OTUs) and noting monthly variations in community diversity.
  • The study found that water temperature and salinity significantly influenced bacterial distribution, with higher pathogenic bacteria abundance in warmer months, particularly September, highlighting how these environmental factors affect marine bacterioplankton diversity and potential health risks.

Article Abstract

Understanding marine bacterioplankton composition and distribution is necessary for improving predictions of ecosystem responses to environmental change. Here, we used 16S rRNA metabarcoding to investigate marine bacterioplankton diversity and identify potential pathogenic bacteria in seawater samples collected in March, May, September, and December 2013 from two sites near Jeju Island, South Korea. We identified 1343 operational taxonomic units (OTUs) and observed that community diversity varied between months. and were the most abundant classes, and in all months, the predominant genera were , , and . The highest number of OTUs was observed in September, and (7.80%), (6.53%), and (6.16%) showed higher relative abundances or were detected only in this month. Water temperature and salinity significantly affected bacterial distribution, and these conditions, characteristic of September, were adverse for but favored . Potentially pathogenic bacteria, among which (28 OTUs) and (six OTUs) were the most abundant in September, were detected in 49 OTUs, and their abundances were significantly correlated with water temperature, increasing rapidly in September, the warmest month. These findings suggest that monthly temperature and salinity variations affect marine bacterioplankton diversity and potential pathogen abundance.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487856PMC
http://dx.doi.org/10.3390/ijms241713561DOI Listing

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