| Literature DB >> 23840768 |
Luigi Vezzulli1, Elisabetta Pezzati, Carla Huete-Stauffer, Carla Pruzzo, Carlo Cerrano.
Abstract
Mass mortality events of benthic invertebrates in the Mediterranean Sea are becoming an increasing concern with catastrophic effects on the coastal marine environment. Sea surface temperature anomalies leading to physiological stress, starvation and microbial infections were identified as major factors triggering animal mortality. However the highest occurrence of mortality episodes in particular geographic areas and occasionally in low temperature deep environments suggest that other factors play a role as well. We conducted a comparative analysis of bacterial communities associated with the purple gorgonian Paramuricea clavata, one of the most affected species, collected at different geographic locations and depth, showing contrasting levels of anthropogenic disturbance and health status. Using massive parallel 16SrDNA gene pyrosequencing we showed that the bacterial community associated with healthy P. clavata in pristine locations was dominated by a single genus Endozoicomonas within the order Oceanospirillales which represented ∼90% of the overall bacterial community. P. clavata samples collected in human impacted areas and during disease events had higher bacterial diversity and abundance of disease-related bacteria, such as vibrios, than samples collected in pristine locations whilst showed a reduced dominance of Endozoicomonas spp. In contrast, bacterial symbionts exhibited remarkable stability in P. clavata collected both at euphotic and mesophotic depths in pristine locations suggesting that fluctuations in environmental parameters such as temperature have limited effect in structuring the bacterial holobiont. Interestingly the coral pathogen Vibrio coralliilyticus was not found on diseased corals collected during a deep mortality episode suggesting that neither temperature anomalies nor recognized microbial pathogens are solely sufficient to explain for the events. Overall our data suggest that anthropogenic influence may play a significant role in determining the coral health status by affecting the composition of the associated microbial community. Environmental stressful events and microbial infections may thus be superimposed to compromise immunity and trigger mortality outbreaks.Entities:
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Year: 2013 PMID: 23840768 PMCID: PMC3694090 DOI: 10.1371/journal.pone.0067745
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Geographic areas in the Mediterranean Sea sampled in this study.
P. clavata samples collected in this study.
| Samples | Geographic area | Site | Date | Depth (m) | Level of Anthropogenic influence on coral populations | Coral Health status | |
| Entangles colonies | Number of dives | ||||||
| Pa30PH | PantelleriaIsland (Pa) | Punta Spadillo | October 2011 | 30 | Absent (P) | Low | Healthy (H) |
| Ta30PH | TavolaraIsland (Ta) | Secca del Papa 2 | October 2008 | 30 | Absent (P) | High | Healthy (H) |
| Po50PH | PortofinoPromontory (Po) | Punta del Faro | September 2011 | 50 | Absent (P) | Low | Healthy (H) |
| Pa90PH | PantelleriaIsland (Pa) | Punta Spadillo | October 2011 | 90 | Absent (P) | Low | Healthy (H) |
| Po30IH | PortofinoPromontory (Po) | Punta del Faro | September 2011 | 30 | Frequent (I) | High | Healthy (H) |
| Pa63ID | PantelleriaIsland (Pa) | CalaLevante | October 2011 | 63 | Frequent (I) | High | Diseased (D) |
| Ta30ID | TavolaraIsland (Ta) | Secca del Papa 1 | October 2008 | 30 | Occasional (I) | High | Diseased (D) |
Collected samples from different coral populations living in different geographic areas, at different depth and showing different health status condition. The level of direct anthropogenic Impact on coral populations at each site was quantified by measuring.
the number of coral colonies affected by fishing lines and nets wrapped around: absent = 0 entangled colonies/dive (P-pristine); occasional = 1–5 entangled colonies/dive and frequent = >5 entangled colonies/dive (I-impacted).
the number of dives per year is also reported: low = <1000 dives/year; high >5000 dives/year.
Diseased corals (D) are defined as those showing early symptoms of disease such as colonies displaying necrotic coenenchyme (pale pink to grayish colour) and patchy tissue loss exposing bare areas of the skeletal axis [7]. Healthy corals (H) are defined as those with no apparent symptoms of disease displaying a purple coloration of the coral tissue [7].
Figure 2P. clavata population impacted by human activity.
Human impacted P. clavata population sampled at “Cala Levante” (Pantelleria island) site in October 2011 at a depth of 63 m: (a) Coralligenous assemblage with a rope and a fishing line (arrows) entangling sea fans. The abrasive effect on sea-fan coenechime expose the bare skeleton to fouling organisms. (b) Sampling phase of a P. clavata colony with evident sign of necrotic tissue (arrows).
Figure 3Bacterial diversity associated with P. clavata.
Alpha diversity metrics derived from 16S rDNA pyrosequencing of bacteria associated with P. clavata samples: (a) Rarefaction curves; (b) number of OTUs predicted (Chao1, Ace, jackknife) and observed (sobs); (c) Shannon-Weiner diversity of bacteria from each coral sample. OTU’s were grouped at >97% similarity based on mothur classified results.
Figure 4Comparative analysis of the bacterial communities associated with P. clavata.
16S rDNA pyrosequencing-based comparative analysis of dominant bacterial groups associated with P. clavata samples collected in different geographic areas, at different depth and showing different health status condition. (a) a comparative map is shown, where the numbers of normalised reads taken by each taxon (the tree is collapsed to the ‘genus’ level) in each year are represented as colour bar. The cumulative number of normalised reads across the different coral samples is also shown for each taxon [29]. Genus shared across all samples are in bold (b) agglomerative hierarchical clustering (CLUSTER analysis) and (c) non-Metric multi-Dimensional Scaling (nMDS) of the different sample datasets.
Figure 5Analysis of Vibrio populations.
Vibrio relative abundance index (VAI) calculated on P. clavata samples collected in different geographic areas, at different depth and showing different health status condition. Z values are obtained by subtracting the population mean and dividing the difference by the s.d. * ANOVA p<0.05;+presence of the species V. coralliilyticus.