Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


To gain a better understanding of the interactions among bacteria, viruses and flagellates in coastal marine ecosystems, we investigated the effect of viral lysis and protistan bacterivory on bacterial abundance, production and diversity [determined by 16S rRNA gene polymerase chain reaction (PCR) and denaturing gradient gel electrophoresis (DGGE)] in three coastal marine sites with different nutrient supplies in Hong Kong. Six experiments were set up using filtration and dilution methods to develop virus, flagellate and virus+flagellate treatments for natural bacterial populations. All three predation treatments had significant repressing effects on bacterial abundance. Bacterial production was significantly repressed by flagellates and both predators (flagellates and viruses). Bacterial apparent species richness (indicated as the number of DGGE bands) was always significantly higher in the presence of viruses, flagellates and both predators than in the predator-free control. Cluster analysis of the DGGE patterns showed that the effects of viruses and flagellates on bacterial community structure were relatively stochastic while the co-effects of predators caused consistent trends (DGGE always showed the most similar patterns when compared with those of in situ environments) and substantially increased the apparent richness. Overall, we found strong evidence that viral lysis and protist bacterivory act additively to reduce bacterial production and to sustain diversity. This first systematic attempt to study the interactive effects of viruses and flagellates on the diversity and production of bacterial communities in coastal waters suggests that a tight control of bacterioplankton dominants results in relatively stable bacterioplankton communities.

References 


Articles referenced by this article (42)


Show 10 more references (10 of 42)

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1111/j.1462-2920.2007.01410.x

Supporting
Mentioning
Contrasting
7
91
2

Article citations


Go to all (33) article citations