Evidence map›Paper›PMID 25772498›Full record

ArticleWorld journal of microbiology & biotechnology2015

Sediment prokaryote communities in different sites of eutrophic Lake Taihu and their interactions with environmental factors.

Nan Chen, Jin-Shui Yang, Jiang-Hang Qu, Hai-Feng Li, Wei-Jie Liu, Bao-Zhen Li, En Tao Wang, Hong-Li Yuan

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Article in World journal of microbiology & biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Interactions ofMicroorganisms · 2022
    Article
  4. Article
  5. Article
  6. Aquatic plant debris changes sediment enzymatic activity and microbial community structure.Environmental science and pollution research international · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Sediment bacterial communities in a eutrophic lake influenced by multiple inflow-rivers.Environmental science and pollution research international · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nan ChenState Key Laboratories for Agro-Biotechnology and Ministry of Agriculture Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, 100193, People's Republic of China.
Jin-Shui Yang
Jiang-Hang Qu
Hai-Feng Li
Wei-Jie Liu
Bao-Zhen Li
En Tao Wang
Hong-Li Yuan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the temporal variation of the sediment prokaryote communities and their relation with the rapid increase of algae population in Taihu, a shallow eutrophic freshwater Lake, water and surface sediments were sampled from seven sites in different stages of algal bloom. The physicochemical characterization revealed positive correlations among the nutrient (N, P) parameters in the water and sediments, as well as TN/TP ratio 30.79 in average in water and 0.13 in sediments, demonstrating that P content was the limit factor for bloom in Taihu and sediment was an important nutrient resource for the water body. T-RFLP analysis of 16S rRNA genes revealed a diversity decrease of sediment prokaryotic communities along the bloom. The bacterial communities in sediments were more sensitive and shaped by the temporal changes, while archaea were more sensitive to the trophic level. The pyrosequencing data showed clear spatial and temporal changes in diversity of sediment bacteria. Betaproteobacteria was the most abundant group in all the samples, following by Delta-, Gama- and Alpha-proteobacteria, Acidobacteria, Chlorobi, Chloroflexi etc. At the genus level, Thiobacillus and Sulfuricurvum were the most dominant groups in the sediments, and the increase of Thiobacillus abundance in February might be used as bioindicator for the subsequent bloom. In addition, NO3 (-)-N was evidenced to be the main factor to regulate the bacterial community structure in the sediments. These results offered some novel and important data for the evaluation and predict the algal bloom in Taihu and can be reference for other shallow fresh water lakes.

Indexed as

BiodiversityLakesArchaeaBacteriaDNA, ArchaealDNA, BacterialDNA, RibosomalEutrophicationFresh WaterGeologic SedimentsMolecular Sequence DataNitrogenPhosphorusRNA, Ribosomal, 16SSequence Analysis, DNADNA, ArchaealDNA, BacterialDNA, RibosomalNitrogenPhosphorusRNA, Ribosomal, 16S

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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.