Evidence map›Paper›PMID 35355086›Full record

ArticleMicrobial ecology2023

Significant Effects of Associated Microorganisms on the Community of Photosynthetic Picoeukaryotes.

Shengnan Li, Hua Peng, Xiaoli Shi, Qianhong Gu, Zhongyuan Shen, Min Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shengnan Li *State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, 36 Lushan Road, Yuelu District, Changsha, 410081, China. shnli@hunnu.edu.cn.ORCID http://orcid.org/0000-0002-8846-2183
Hua Peng *Hunan Institute of Agro-Environment and Ecology, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Xiaoli ShiState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Qianhong GuState Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, 36 Lushan Road, Yuelu District, Changsha, 410081, China.
Zhongyuan ShenState Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, 36 Lushan Road, Yuelu District, Changsha, 410081, China.
Min WangState Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, 36 Lushan Road, Yuelu District, Changsha, 410081, China.

Funding

National Natural Science Foundation of China 31800388National Natural Science Foundation of China 32071573
6 · The paper itself

Abstract

Photosynthetic picoeukaryotes (PPEs) form associations with other microorganisms. However, whether and how the associated microbes affect PPE communities remain unknown. We used flow cytometric cell sorting combined with parallel high-throughput sequencing of the 18S and 16S rRNA genes to simultaneously investigate PPEs and their associated microbial communities in the Yangtze-connected Lake Dongting. The lake harbors a great diversity of PPEs. PPE communities exhibited significant temporal rather than spatial variations. Two distinct PPE taxa affiliated with Discostella nipponica and Poterioochromonas malhamensis were dominant during winter/spring and summer, respectively. Parallel high-throughput sequencing revealed a great diversity of associated bacteria and non-pigmented eukaryotes (NPEs) in PPEs sorts. Proteobacteria, Actinobacteria, Bacteroidetes, and Cyanobacteria among the associated bacteria and fungi among the associated NPEs were dominant. PPEs were more apparently associated with bacteria than with NPEs. The co-occurrence network of PPEs and associated microbes formed five major modules, which exhibited distinct temporal patterns, being specific to a certain period. Variations in PPEs communities were significantly correlated with both environmental factors and associated microbial communities. In variation partitioning analysis, the associated bacteria explained the greatest variations in PPE communities, and associated bacteria and NPEs co-explained a large portion of environmental effects on PPE communities. Our results highlight the significance of associated microbes in shaping PPE communities.

Indexed as

ChlorophytaDiatomsStramenopilesBacteriaPhotosynthesisRNA, Ribosomal, 16SRNA, Ribosomal, 16SBacteriaCo-occurrence networkFlow cytometryMicrobial associationPhotosynthetic picoeukaryotes

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.