Evidence map›Paper›PMID 34248892›Full record

ArticleFrontiers in microbiology2021

Seasonal Dynamics Are the Major Driver of Microbial Diversity and Composition in Intensive Freshwater Aquaculture.

Sophi Marmen, Eduard Fadeev, Ashraf Al Ashhab, Ayana Benet-Perelberg, Alon Naor, Hemant J Patil, Eddie Cytryn, Yehudit Viner-Mozzini, Assaf Sukenik, Maya Lalzar and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Article
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  9. Article
  10. Effects ofBiomolecules · 2023
    Article
  11. Article
  12. Viable bacterial counts of the Pangasius catfish (Journal of advanced veterinary and animal research · 2022
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sophi MarmenDepartment of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel.
Eduard FadeevDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Ashraf Al AshhabDepartment of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel.
Ayana Benet-PerelbergDor Aquaculture Research Station, Fisheries Department, Israel Ministry of Agriculture and Rural Development, Dor, Israel.
Alon NaorDor Aquaculture Research Station, Fisheries Department, Israel Ministry of Agriculture and Rural Development, Dor, Israel.
Hemant J PatilInstitute of Soil, Water and Environmental Sciences, Volcani Center, Agricultural Research Organization, Rishon Lezion, Israel.
Eddie CytrynInstitute of Soil, Water and Environmental Sciences, Volcani Center, Agricultural Research Organization, Rishon Lezion, Israel.
Yehudit Viner-MozziniThe Yigal Allon Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research, Migdal, Israel.
Assaf SukenikThe Yigal Allon Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research, Migdal, Israel.
Maya LalzarBioinformatics Service Unit, University of Haifa, Haifa, Israel.
Daniel SherDepartment of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaculture facilities such as fishponds are one of the most anthropogenically impacted freshwater ecosystems. The high fish biomass reared in aquaculture is associated with an intensive input into the water of fish-feed and fish excrements. This nutrients load may affect the microbial community in the water, which in turn can impact the fish health. To determine to what extent aquaculture practices and natural seasonal cycles affect the microbial populations, we characterized the microbiome of an inter-connected aquaculture system at monthly resolution, over 3 years. The system comprised two fishponds, where fish are grown, and an operational water reservoir in which fish are not actively stocked. Clear natural seasonal cycles of temperature and inorganic nutrients concentration, as well as recurring cyanobacterial blooms during summer, were observed in both the fishponds and the reservoir. The structure of the aquatic bacterial communities in the system, characterized using 16S rRNA sequencing, was explained primarily by the natural seasonality, whereas aquaculture-related parameters had only a minor explanatory power. However, the cyanobacterial blooms were characterized by different cyanobacterial clades dominating at each fishpond, possibly in response to distinct nitrogen and phosphate ratios. In turn, nutrient ratios may have been affected by the magnitude of fish feed input. Taken together, our results show that, even in strongly anthropogenically impacted aquatic ecosystems, the structure of bacterial communities is mainly driven by the natural seasonality, with more subtle effects of aquaculture-related factors.

Indexed as

16S rRNAcyanobacteriafishpondmicrobiomerunoff

Identifiers

PMID34248892
PMCPMC8264503

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.