Bacterioplankton assemblages as biological indicators of shrimp health status

Zhang, Demin; Wang, Xin; Xiong, Jinbo; Zhu, Jiangfeng; Wang, Yinong; Zhao, Qin; Chen, Heping; Guo, Aizhen; Wu, Jinfeng; Dai, Haiping

doi:10.1016/j.ecolind.2013.11.002

Cited by 87 publications

(60 citation statements)

References 44 publications

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“…Current knowledge on how and to what extent the coastal bacterioplankton community responds to the competition and interaction between toxic metals and temporal succession is scarce. In addition, it is unclear whether bacterial assemblages with robust temporal variability can be applied to reflect Cd pollution in seawater, although several recent studies have found significant correlations between the bacterial community and specific environment changes such as spatial and seasonal gradients, nitrogen pollution, and outbreak of shrimp disease (19,24,25).…”

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confidence: 99%

Response of Bacterioplankton Communities to Cadmium Exposure in Coastal Water Microcosms with High Temporal Variability

Wang

Zhang

Xiong

et al. 2015

Appl Environ Microbiol

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Multiple anthropogenic disturbances to bacterial diversity have been investigated in coastal ecosystems, in which temporal variability in the bacterioplankton community has been considered a ubiquitous process. However, far less is known about the temporal dynamics of a bacterioplankton community responding to pollution disturbances such as toxic metals. We used coastal water microcosms perturbed with 0, 10, 100, and 1,000 g liter ؊1 of cadmium (Cd) for 2 weeks to investigate temporal variability, Cd-induced patterns, and their interaction in the coastal bacterioplankton community and to reveal whether the bacterial community structure would reflect the Cd gradient in a temporally varying system. Our results showed that the bacterioplankton community structure shifted along the Cd gradient consistently after a 4-day incubation, although it exhibited some resistance to Cd at low concentration (10 g liter ؊1 ). A process akin to an arms race between temporal variability and Cd exposure was observed, and the temporal variability overwhelmed Cd-induced patterns in the bacterial community. The temporal succession of the bacterial community was correlated with pH, dissolved oxygen, NO 3 ؊ -N, NO 2 ؊ -N, PO 4 3؊ -P, dissolved organic carbon, and chlorophyll a, and each of these parameters contributed more to community variance than Cd did. However, elevated Cd levels did decrease the temporal turnover rate of community. Furthermore, key taxa, affiliated to the families Flavobacteriaceae, Rhodobacteraceae, Erythrobacteraceae, Piscirickettsiaceae, and Alteromonadaceae, showed a high frequency of being associated with Cd levels during 2 weeks. This study provides direct evidence that specific Cd-induced patterns in bacterioplankton communities exist in highly varying manipulated coastal systems. Future investigations on an ecosystem scale across longer temporal scales are needed to validate the observed pattern. In the last decades, heavy metal concentrations have increased significantly, reaching up to several mg liter Ϫ1 , in seriously polluted estuaries or harbors (1, 2) as a consequence of industrial discharge and river outflows. Cadmium (Cd) is one of the most toxic metals frequently detected in the coastal areas of China, and its presence exceeds the permissible environmental limit in several bays, including Bohai Bay and Jiaozhou Bay (3, 4), which can harm human health via seafood consumption because of its accumulative and carcinogenic properties (3,5,6). One of the major scientific challenges is to evaluate threats of pollution disturbances to the biodiversity. Bacterioplankton plays crucial roles in the mineralization of organic matter and nutrient cycling in marine ecosystems (7,8), and bacterioplankton community composition (BCC) quickly responds to anthropogenic disturbances such as chemical pollution, nutrient enrichment, and the introduction of antibiotics and pathogens (9). Therefore, bacterioplankton communities might be used to evaluate the ecological effect of pollution in a coastal environment.The resp...

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confidence: 99%

Response of Bacterioplankton Communities to Cadmium Exposure in Coastal Water Microcosms with High Temporal Variability

Wang

Zhang

Xiong

et al. 2015

Appl Environ Microbiol

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“…Thus, water quality has a large impact on the health status (i.e., healthy or diseased) of shrimp. Extensive studies have consistently shown that sudden changes in water temperature (Cheng et al 2005), salinity (Liu et al 2006), and eutrophication level (Biao and Kaijin 2007;Zhang et al 2014) can induce shrimp disease. A possible explanation is that shrimp are more sensitive to infection under stressful conditions (Hsu and Chen 2007).…”

Section: Introductionmentioning

confidence: 99%

Advances, challenges, and directions in shrimp disease control: the guidelines from an ecological perspective

Xiong

Dai

2016

Appl Microbiol Biotechnol

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High-density aquaculture has led to increasing occurrences of diseases in shrimp. Thus, it is imperative to establish effective and quantitative strategies for preventing and predicting these diseases. Water quality indices and investigations of specific pathogen abundance provide only a qualitative evaluation of the risk of shrimp disease and can be inaccurate. To address these shortcomings, we introduced intestinal indicative assemblages as independent variables with which to quantitatively predict incidences of shrimp disease. Given the ignorance regarding the niches differences in the shrimp intestine throughout its developmental stages, the use of probiotics in aquaculture has had limited success. Therefore, we propose the exploration of effective probiotic bacteria from shrimp intestinal flora and the establishment of therapeutic strategies dependent on shrimp age. Following ecological selection principles, we hypothesize that the larval stage provides the best opportunity to establish a desired gut microbiota through preemptive colonization of the treated rearing water with known probiotics. To employ this strategy, however, substantial barriers must be overcome.

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“…On the sampling day, approximately 1 L of seawater samples was collected from ponds with diseased shrimp populations (PDS) and ponds with healthy shrimp populations (PHS) located in Zhanqi, Ningbo, eastern China (29°32 0 N, 121°31 0 E; Zhang et al 2014). After pre-filtering through nylon mesh (100 lm pore size) and 0.2 lm polycarbonate membrane (Millipore), water genomic DNA was extracted using a Power Soil Ò DNA Isolation Kit (MO BIO Laboratories, Carlsbad, CA, USA) according to the manufacturer's protocols.…”

Section: Dna Samplesmentioning

confidence: 99%

“…The bacterial 16S rRNA gene products were sequencing using a Roche FLX 454 pyrosequencing machine (Roche Diagnostics Corporation, Branford, CT, USA). The sequencing reads were analyzed by the Quantitative Insights Into Microbial Ecology (QIIMEv1.5.0) workflow (Caporaso et al 2010;Zhang et al 2014).…”

Section: Pyrosequencing Analysismentioning

confidence: 99%

“…Thus, the application of only traditional physicochemical variables to assess shrimp health status may be inadequate (Rao et al 2000). Recently, a number of studies have revealed that the bacterioplankton community can serve as a biological indicator to evaluate the occurrence of shrimp diseases (Xiong et al 2014b;Zhang et al 2014). Actinobacteria, which are a prolific source of secondary metabolites with antibacterial, immunosuppressive, and antitumor activity (Becerril-Espinosa et al 2013), are widely distributed in aquatic environments, where they play important roles (Subramani and Aalbersberg 2012;Ward and Bora 2006).…”

Section: Introductionmentioning

confidence: 99%

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Development of a prototype 16S rRNA gene-based microarray for monitoring planktonic actinobacteria in shrimp ponds

et al. 2017

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Many reports have shown that the composition of the bacterioplankton community can serve as a biological indicator to evaluate the occurrence of shrimp diseases. However, the distribution, diversity, and function of planktonic actinobacteria in shrimp ponds are still poorly understood. In this study, a prototype of a 16S rRNA gene-based taxonomic microarray was developed and evaluated for monitoring of planktonic actinobacteria in shrimp ponds. The prototype microarray is composed of 30 probes that target ten dominant families of planktonic actinobacteria found in shrimp ponds. The specificity of the actinobacterial microarray was validated by a set of control hybridizations with 16S rRNA genes clones. The prototype microarray was subsequently tested with two seawater samples from ponds with diseased shrimp populations (PDS) and ponds with healthy shrimp populations (PHS). The actinobacteria hybridization profiles revealed a lower abundance of Microbacteriaceae and a higher abundance of Mycobacteriaceae in PDS than in PHS. The changes in planktonic actinobacterial communities were validated by pyrosequencing data. These results support the utility of the microarray for monitoring planktonic actinobacteria in shrimp ponds and aquaculture environments.

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Bacterioplankton assemblages as biological indicators of shrimp health status

Cited by 87 publications

References 44 publications

Response of Bacterioplankton Communities to Cadmium Exposure in Coastal Water Microcosms with High Temporal Variability

Response of Bacterioplankton Communities to Cadmium Exposure in Coastal Water Microcosms with High Temporal Variability

Advances, challenges, and directions in shrimp disease control: the guidelines from an ecological perspective

Development of a prototype 16S rRNA gene-based microarray for monitoring planktonic actinobacteria in shrimp ponds

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