Temporal heterogeneity of microbial communities and metabolic activities during a natural algal bloom

Zhou, Jin; Lao, Yong-Min; Song, Junting; Jin, Hui; Zhu, Jianming; Cai, Zhonghua

doi:10.1016/j.watres.2020.116020

Cited by 43 publications

(24 citation statements)

References 73 publications

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“…6). In addition, in 2012, pond 5 had a higher number (24) of indicators with strong signals than pond 1 (12), but in 2013, pond 1 had more (24) indicators than pond 5 (13) ( Fig. 6).…”

Section: Yearly or Seasonal Pond Indicators For The Diverse Nitrogen mentioning

confidence: 95%

“…Because FGAs are a rapid and cost-effective method for detecting microbes and their functional genes from virtually any sample, they can be applied to a wide array of sample types [9,10]. For example, FGA studies investigating nitrogen cycling associated with harmful cyanobacterial and dinoflagellate blooms in freshwater and marine environments showed that genes and bacteria driving N cycling were spatially and temporally dynamic [11,12].…”

Section: Introductionmentioning

confidence: 99%

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The Diversity of Nitrogen-Cycling Microbial Genes in a Waste Stabilization Pond Reveals Changes over Space and Time that Is Uncoupled to Changing Nitrogen Chemistry

et al. 2020

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Nitrogen removal is an important process for wastewater ponds prior to effluent release. Bacteria and archaea can drive nitrogen removal if they possess the genes required to metabolize nitrogen. In the tropical savanna of northern Australia, we identified the previously unresolved microbial communities responsible for nitrogen cycling in a multi-pond wastewater stabilization system by measuring genomic DNA and cDNA for the following: nifH (nitrogen fixation); nosZ (denitrification); hzsA (anammox); archaeal AamoA and bacterial BamoA (ammonia oxidation); nxrB (nitrite oxidation); and nrfA (dissimilatory NO3 reduction to NH3). By collecting 160 DNA and 40 cDNA wastewater samples and measuring nitrogen (N)-cycling genes using a functional gene array, we found that genes from all steps of the N cycle were present and, except for nxrB, were also expressed. As expected, N-cycling communities showed daily, seasonal, and yearly shifts. However, contrary to our prediction, probes from most functional groups, excluding nosZ and AamoA, were different between ponds. Further, different genes that perform the same N-cycling role sometimes had different trends over space and time, resulting in only weak correlations between the different functional communities. Although N-cycling communities were correlated with wastewater nitrogen levels and physico-chemistry, the relationship was not strong enough to reliably predict the presence or diversity of N-cycling microbes. The complex and dynamic response of these genes to other functional groups and the changing physico-chemical environment provides insight into why altering wastewater pond conditions can result an abundance of some gene variants while others are lost.

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“…6). In addition, in 2012, pond 5 had a higher number (24) of indicators with strong signals than pond 1 (12), but in 2013, pond 1 had more (24) indicators than pond 5 (13) ( Fig. 6).…”

Section: Yearly or Seasonal Pond Indicators For The Diverse Nitrogen mentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

The Diversity of Nitrogen-Cycling Microbial Genes in a Waste Stabilization Pond Reveals Changes over Space and Time that Is Uncoupled to Changing Nitrogen Chemistry

et al. 2020

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“…The red tide formed by N. scintillans adheres to the gills of aquatic animals, causing them to suffocate from a lack of oxygen, and the ingestion of fish eggs causes a decline in fish stocks (Enomoto, 1956). N. scintillans contains a large amount of ammonium in its cells, which may affect the quality of seawater and the ecological environment (Ara et al, 2013;Zhou et al, 2020). N. scintillans influences the plankton food web and biogeochemical processes by feeding on microalgae, copepod eggs, fish eggs, and protozoa (Hattori, 1962;Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Noctiluca Scintillans Distribution Largely Regulated by Phytoplankton Biomass in the East China Sea and Southern Yellow Sea

et al. 2022

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Noctiluca scintillans feeds on a large number of phytoplankton, including diatoms and dinoflagellates, and frequently forms a red tide in the East China Sea (ECS) and southern Yellow Sea (SYS). However, the spatiotemporal distribution pattern, controlling factors, and long-term change of N. scintillans in the ECS and SYS remain unclear. In the present study, we collected N. scintillans samples from the ECS and SYS throughout the four seasons of 2011. We sampled phytoplankton and environmental parameters simultaneously. The depth-integrated abundance (DIA) of N. scintillans was the highest and lowest in summer and winter, respectively. N. scintillans is distributed abundantly in eutrophic coastal waters and the Changjiang Estuary, which are characterized by high concentrations of phytoplankton and chlorophyll-a. A Spearman correlation test demonstrated that its DIA in the upper 30-m water column was generally more significantly associated with phytoplankton abundance and chlorophyll-a concentration than with temperature and salinity. The results of the generalized additive models revealed that chlorophyll-a concentration explained more of the variation in N. scintillans abundance than temperature and salinity throughout the year, particularly in warm seasons. These findings indicate that the seasonal and spatial changes of N. scintillans are largely regulated by phytoplankton biomass. Compared with the historical data from 1959 and 2002, the abundance of N. scintillans in the Changjiang Estuary increased considerably in 2011 with increasing phytoplankton abundance resulting from accelerated eutrophication and warming. These results clarify the controlling factors, red-tide formation mechanism, and changing trends associated with the N. scintillans in the ECS and SYS.

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“…Co-occurrence network analysis has been used in a variety of environments including seawater, sediments and soils [27][28][29], and is an effective tool for the reflection of interactions between microorganisms, which is critical to the assembly and stability of microbial community [30][31][32]. By means of co-occurrence network analysis, Zhou et al [33] found that time-shifted interdependencies were prevalent in the bacterioplankton community, and Rickettsiaceae, Saprospriaceae, Winogradskyella, Flavobacteriaceae, Chitinophagaceae and NS 11-12 were the core taxa during a dinoflagellate bloom. However, to our knowledge, microbial interactions during an U. prolifera green tide derived from the co-occurrence network analysis have not been reported yet.…”

Section: Introductionmentioning

confidence: 99%

Variations in Marine Bacterial and Archaeal Communities during an Ulva prolifera Green Tide in Coastal Qingdao Areas

Zhao

Wang

et al. 2022

Microorganisms

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Green tides caused by Ulva prolifera occur annually in the Yellow Sea, potentially influencing the marine microorganisms. Here, we focused on the variations in marine bacterial and archaeal communities during an U. prolifera green tide in coastal Qingdao areas with Illumina high-throughput sequencing analysis. Our results revealed that the diversity and structure of bacterial and archaeal communities, as well as the organization and structure of microbial co-occurrence networks, varied during the green tide. The decline phase may be favorable to the bacterial and archaeal diversity and richness. The bacterial community, as well as the archaeal community, showed clear variations between the outbreak and decline phases. A simpler and less connected microbial co-occurrence network was observed during the outbreak phase compared with the decline phase. Flavobacteriales and Rhodobacterales separately dominated the bacterial community during the outbreak and decline phase, and Marine Group II (MGII) dominated the archaeal community during the green tide. Combined with microbial co-occurrence network analysis, Flavobacteriales, Rhodobacterales and MGII may be important organisms during the green tide. Temperature, chlorophyll a content and salinity may have an important impact on the variations in bacterial and archaeal communities during the green tide.

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Temporal heterogeneity of microbial communities and metabolic activities during a natural algal bloom

Cited by 43 publications

References 73 publications

The Diversity of Nitrogen-Cycling Microbial Genes in a Waste Stabilization Pond Reveals Changes over Space and Time that Is Uncoupled to Changing Nitrogen Chemistry

The Diversity of Nitrogen-Cycling Microbial Genes in a Waste Stabilization Pond Reveals Changes over Space and Time that Is Uncoupled to Changing Nitrogen Chemistry

Noctiluca Scintillans Distribution Largely Regulated by Phytoplankton Biomass in the East China Sea and Southern Yellow Sea

Variations in Marine Bacterial and Archaeal Communities during an Ulva prolifera Green Tide in Coastal Qingdao Areas

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