Limits...
Molecular-based approaches to characterize coastal microbial community and their potential relation to the trophic state of Red Sea.

Ansari MI, Harb M, Jones B, Hong PY - Sci Rep (2015)

Bottom Line: Microbial source tracking revealed the presence of >1 human-associated Bacteroides spp. at some of the near-shore sampling sites and at a heavily frequented beach.Enterococci abundances obtained from next-generation sequencing did not correlate well with the cultured enterococci numbers.Operational taxonomic units (OTUs) associated with cyanobacteria, Prochlorococcus, Ostreococcus spp. and Gramella were more prevalent in waters that were likely impacted by urban runoffs and recreational activities.

View Article: PubMed Central - PubMed

Affiliation: Water Desalination and Reuse Center, Environmental Science and Engineering.

ABSTRACT
Molecular-based approaches were used to characterize the coastal microbiota and to elucidate the trophic state of Red Sea. Nutrient content and enterococci numbers were monitored, and used to correlate with the abundance of microbial markers. Microbial source tracking revealed the presence of >1 human-associated Bacteroides spp. at some of the near-shore sampling sites and at a heavily frequented beach. Water samples collected from the beaches had occasional exceedances in enterococci numbers, higher total organic carbon (TOC, 1.48-2.18 mg/L) and nitrogen (TN, 0.15-0.27 mg/L) than that detected in the near-shore waters. Enterococci abundances obtained from next-generation sequencing did not correlate well with the cultured enterococci numbers. The abundance of certain genera, for example Arcobacter, Pseudomonas and unclassified Campylobacterales, was observed to exhibit slight correlation with TOC and TN. Low abundance of functional genes accounting for up to 41 copies/L of each Pseudomonas aeruginosa and Campylobacter coli were detected. Arcobacter butzleri was also detected in abundance ranging from 111 to 238 copies/L. Operational taxonomic units (OTUs) associated with cyanobacteria, Prochlorococcus, Ostreococcus spp. and Gramella were more prevalent in waters that were likely impacted by urban runoffs and recreational activities. These OTUs could potentially serve as quantifiable markers indicative of the water quality.

No MeSH data available.


Multidimensional scaling (MDS) plot for the microbial community in N, S, NS, T and beach (KW and TW) waters.Relative abundance of genera and unclassified bacterial groups revealed that near-shore seawater samples clustered apart from the beach waters, and between the upper and lower depths of near-shore sites.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4355682&req=5

f4: Multidimensional scaling (MDS) plot for the microbial community in N, S, NS, T and beach (KW and TW) waters.Relative abundance of genera and unclassified bacterial groups revealed that near-shore seawater samples clustered apart from the beach waters, and between the upper and lower depths of near-shore sites.

Mentions: Predominant phyla for all water samples were unclassified Bacteria, Proteobacteria, Cyanobacteria/Chloroplast and Bacteroidetes (Supplementary Figure S1). However, a further analysis based on the relative abundance of genera and unclassified bacterial groups revealed that near-shore seawater samples clustered apart from the beach waters (Figure 4), sharing a similarity of 56% to 61.4%. Furthermore, microbial communities collected at upper and lower depths of the same N, S, NS and T sampling sites shared an average 71%, 68.5%, 72.2% and 77.2% similarity, respectively, with each other. This resulted in an apparent clustering of samples based on upper and lower depths on the multidimensional scaling plot (Figure 4). An OTU-based analysis was conducted to determine the OTUs that likely accounted for the differences. Both KW and TW water samples had unique occurrence for certain OTUs associated with uncultured Gramella, Gammaproteobacteria, Deltaproteobacteria and Bacteroidetes (Table 4). In addition, more than 75% of S water samples collected at the upper depths were detected positive for OTUs associated with Ostreococcus sp., uncultured Prochlorococcus and marine cyanobacterium compared to less than 28.6% of the remaining N, NS, T, KW and TW water samples collected at upper depths (Table 4).


Molecular-based approaches to characterize coastal microbial community and their potential relation to the trophic state of Red Sea.

Ansari MI, Harb M, Jones B, Hong PY - Sci Rep (2015)

Multidimensional scaling (MDS) plot for the microbial community in N, S, NS, T and beach (KW and TW) waters.Relative abundance of genera and unclassified bacterial groups revealed that near-shore seawater samples clustered apart from the beach waters, and between the upper and lower depths of near-shore sites.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4355682&req=5

f4: Multidimensional scaling (MDS) plot for the microbial community in N, S, NS, T and beach (KW and TW) waters.Relative abundance of genera and unclassified bacterial groups revealed that near-shore seawater samples clustered apart from the beach waters, and between the upper and lower depths of near-shore sites.
Mentions: Predominant phyla for all water samples were unclassified Bacteria, Proteobacteria, Cyanobacteria/Chloroplast and Bacteroidetes (Supplementary Figure S1). However, a further analysis based on the relative abundance of genera and unclassified bacterial groups revealed that near-shore seawater samples clustered apart from the beach waters (Figure 4), sharing a similarity of 56% to 61.4%. Furthermore, microbial communities collected at upper and lower depths of the same N, S, NS and T sampling sites shared an average 71%, 68.5%, 72.2% and 77.2% similarity, respectively, with each other. This resulted in an apparent clustering of samples based on upper and lower depths on the multidimensional scaling plot (Figure 4). An OTU-based analysis was conducted to determine the OTUs that likely accounted for the differences. Both KW and TW water samples had unique occurrence for certain OTUs associated with uncultured Gramella, Gammaproteobacteria, Deltaproteobacteria and Bacteroidetes (Table 4). In addition, more than 75% of S water samples collected at the upper depths were detected positive for OTUs associated with Ostreococcus sp., uncultured Prochlorococcus and marine cyanobacterium compared to less than 28.6% of the remaining N, NS, T, KW and TW water samples collected at upper depths (Table 4).

Bottom Line: Microbial source tracking revealed the presence of >1 human-associated Bacteroides spp. at some of the near-shore sampling sites and at a heavily frequented beach.Enterococci abundances obtained from next-generation sequencing did not correlate well with the cultured enterococci numbers.Operational taxonomic units (OTUs) associated with cyanobacteria, Prochlorococcus, Ostreococcus spp. and Gramella were more prevalent in waters that were likely impacted by urban runoffs and recreational activities.

View Article: PubMed Central - PubMed

Affiliation: Water Desalination and Reuse Center, Environmental Science and Engineering.

ABSTRACT
Molecular-based approaches were used to characterize the coastal microbiota and to elucidate the trophic state of Red Sea. Nutrient content and enterococci numbers were monitored, and used to correlate with the abundance of microbial markers. Microbial source tracking revealed the presence of >1 human-associated Bacteroides spp. at some of the near-shore sampling sites and at a heavily frequented beach. Water samples collected from the beaches had occasional exceedances in enterococci numbers, higher total organic carbon (TOC, 1.48-2.18 mg/L) and nitrogen (TN, 0.15-0.27 mg/L) than that detected in the near-shore waters. Enterococci abundances obtained from next-generation sequencing did not correlate well with the cultured enterococci numbers. The abundance of certain genera, for example Arcobacter, Pseudomonas and unclassified Campylobacterales, was observed to exhibit slight correlation with TOC and TN. Low abundance of functional genes accounting for up to 41 copies/L of each Pseudomonas aeruginosa and Campylobacter coli were detected. Arcobacter butzleri was also detected in abundance ranging from 111 to 238 copies/L. Operational taxonomic units (OTUs) associated with cyanobacteria, Prochlorococcus, Ostreococcus spp. and Gramella were more prevalent in waters that were likely impacted by urban runoffs and recreational activities. These OTUs could potentially serve as quantifiable markers indicative of the water quality.

No MeSH data available.