Interaction of Microbiota between Fish and the Environment of an In-Pond Raceway System in a Lake

Zhang, Xizhao; You, Yunxiang; Peng, Fei; Tang, Xuemei; Zhou, Yifan; Liu, Jianyu; Lin, Danqing; Zhou, Yanfeng

doi:10.3390/microorganisms10061143

Cited by 5 publications

(6 citation statements)

References 55 publications

(64 reference statements)

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“…This is probably due to the different cultivation and pond management modes of grass carp culture at different stages, which changes the physicochemical indices of the pond and affects the water and sediment microbiota. Moreover, fish microbiota is one of the primary sources of sediment microbiota, and >15% of the sediment microbiota is derived from fish ( Zhang et al, 2022 ). Therefore, the differences in water and sediment microbiota in different ponds were probably caused by differences in the gut microbiota of grass carp of different sizes.…”

Section: Discussionmentioning

confidence: 99%

“…Habitat microbiota is an important factor affecting the microbiota structure of aquaculture organisms ( Liu et al, 2021 ; Zhang et al, 2022 ; Giatsis et al, 2015 ), and is closely related to the health of aquaculture organisms ( De Schryver et al, 2012 ; Chen et al, 2017 ; Kaktcham et al, 2017 ; Huang et al, 2018 )). A. hydrophila ( Song et al, 2017 ) , Citrobacter spp.…”

Section: Discussionmentioning

confidence: 99%

“…Various microorganisms live in aquaculture ponds and participate in the metabolism of nutrients in aquaculture water and sediments, which play an important role in maintaining water quality ( Ni et al, 2018 ; Li et al, 2020b ). Simultaneously, microorganisms also interact with aquatic life and potentially lead to bacterial diseases in farmed fish ( Zeng et al, 2020 ; Liu et al, 2021 ; Jing et al, 2021 ; Zhang et al, 2022 ). To ensure the health of aquaculture fish, it is necessary to clarify the composition of microorganisms in aquaculture water and sediment, and the factors affecting them.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Microbiota composition and correlations with environmental factors in grass carp (Ctenopharyngodon idella) culture ponds in South China

Lian,

Zheng,

Xie

et al. 2023

PeerJ

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To maintain the health of aquaculture fish, it is critical to understand the composition of microorganisms in aquaculture water and sediment and the factors affecting them. This study examined the water and sediment microbiota compositions of four different types of ponds in South China that were used to culture grass carp (Ctenopharyngodon idella) of different sizes through high-throughput sequencing of the 16S rRNA gene, and analyzed their correlations with environmental factors. The results showed that ponds with cultured grass carp of different sizes exhibited significant differences in terms of water physicochemical properties and composition of water and sediment microbiota. Furthermore, the exchange of microorganisms between water and sediment microbiota was lowest in ponds with the smallest grass carp and highest in ponds with the largest grass carp. All detected environmental factors except water temperature were significantly correlated with the water microbiota, and all detected environmental factors in the sediment were correlated with sediment microbiota. Moreover, Aeromonas hydrophila and Vibrio were significantly increased in the water microbiota, especially in ponds with small juvenile grass carp, implying an increased risk of A. hydrophila and Vibrio infections in these environments. Our results provide useful information for the management of grass carp aquaculture ponds.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Microbiota composition and correlations with environmental factors in grass carp (Ctenopharyngodon idella) culture ponds in South China

Lian,

Zheng,

Xie

et al. 2023

PeerJ

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“…RF acts as a small ecosystem, with microorganisms widely distributed in the fish, water, soil, and plants. Microorganisms attached to water bodies, weeds, and phytoplankton can colonize the gut of common carp through their feeding activities and have an impact on the fish (Zhang et al, 2022). The microorganisms in the fish gut also spread into the water and soil with the fish excretion, while some strains of bacteria can colonize the water body and, thus, improve the water environment.…”

Section: Discussionmentioning

confidence: 99%

Screening and fermentation medium optimization of a strain favorable to Rice–fish Coculture

Xia

Zou

et al. 2022

Front. Microbiol.

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Rice–fish coculture (RF) is a small ecosystem in which microorganisms are widely distributed in the fish, water environment, soil, and plants. In order to study the positive effects of microorganisms on common carp and rice in the RF ecosystem, a total of 18 strains with growth-promoting ability were screened from common carp (Cyprinus carpio) gut contents, among which three strains had the ability to produce both DDP-IV inhibitors and IAA. The strain with the strongest combined ability, FYN-22, was identified physiologically, biochemically, and by 16S rRNA, and it was initially identified as Bacillus licheniformis. As the number of metabolites secreted by the strain under natural conditions is not sufficient for production, the FYN-22 fermentation medium formulation was optimized by means of one-factor-at-a-time (OFAT) experiments and response surface methodology (RSM). The results showed that, under the conditions of a soluble starch concentration of 10.961 g/l, yeast concentration of 2.366 g/l, NH4Cl concentration of 1.881 g/l, and FeCl3 concentration of 0.850 g/l, the actual measured number of FYN-22 spores in the fermentation broth was 1.913 × 109 CFU/ml, which was 2.575-fold improvement over the pre-optimization value. The optimized fermentation solution was used for the immersion operation of rice seeds, and, after 14 days of incubation in hydroponic boxes, the FYN-22 strain was found to have a highly significant enhancement of 48.31% (p < 0.01) on the above-ground part of rice, and different degrees of effect on root length, fresh weight, and dry weight (16.73, 17.80, and 21.97%, respectively; p < 0.05). This study may provide new insights into the fermentation process of Bacillus licheniformis FYN-22 and its further utilization in RF systems.

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“…The potential activity of Alteromonadales was also higher in feces of fish reared at the two higher temperatures. Results reveal a high degree of shared bacterial between water and fish, since the rearing water microbiota in the RAS systems is one of the primary sources of microbiota in the fish, but the fish microbiota will also settle in the water (Zhang et al, 2022).…”

Section: Proteobacteriamentioning

confidence: 99%

Feeding and water temperature modulate the potential activity of gut microbiota in greater amberjack juveniles (Seriola dumerili)

Navarro-Guillén,

Degré Lorentsen,

Perera

et al. 2023

Front. Mar. Sci.

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Gut microbial communities are highly dynamic and respond to factors such as diet and host metabolism. However, there is limited knowledge on changes in gut microbiota during the daily cycle. To investigate how interactions between feeding and water temperature affected the diurnal dynamics and activity of the microbiota, we analyzed the qualitative and quantitative composition in feces of the potentially active bacterial community along a day cycle in greater amberjack juveniles (Seriola dumerili). Bacterial density (based on qPCR of 16S rDNA) in feces was relatively stable along the day. In contrast bacterial activity (based on qPCR of 16S rRNA) increased during the period of active feeding, and was reduced to pre-feeding levels four hours after the last meal. The relative potential activity of the bacterial community in fish feces varied with postprandial time. At the phylum level there was a shift from a Spirochaetes-dominated community in the morning to increased potential activity of Proteobacteria after feeding. At lower taxonomic level, i.e. order, the bacterial community was dominated by Mycoplasmoidales, which relative potential activity was maintained throughout the day in all treatments. By contrast, for absolute potential bacterial activity at the order level there was a peak in potential activity of several bacterial orders at 6h after first feeding, with the most noticeable increase observed for Mycoplasmoidales. Results from the present work also indicated a close relation between the effect of water temperature and microbial dynamics. This is the first study assessing the quantitative and qualitative effects of water temperature and daily feeding rhythm on the gut microbiota dynamics in fish. Feeding was the main driver modulating bacterial activity, promoting a peak in bacterial activity 6h after first feeding. However, water temperature also modulated gut microbiota dynamics, with a marked effect on the time scale. In addition, results indicate that analysis of absolute bacterial potential activity provides a better resolution of metabolically active gut microbial community, since a change in the absolute activity of a single taxon can alter the relative activity of all taxa.

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Interaction of Microbiota between Fish and the Environment of an In-Pond Raceway System in a Lake

Cited by 5 publications

References 55 publications

Microbiota composition and correlations with environmental factors in grass carp (Ctenopharyngodon idella) culture ponds in South China

Microbiota composition and correlations with environmental factors in grass carp (Ctenopharyngodon idella) culture ponds in South China

Screening and fermentation medium optimization of a strain favorable to Rice–fish Coculture

Feeding and water temperature modulate the potential activity of gut microbiota in greater amberjack juveniles (Seriola dumerili)

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