Evidence map›Paper›PMID 33544213›Full record

ArticleApplied microbiology and biotechnology2021

Spatial and seasonal variations of sediment bacterial communities in a river-bay system in South China.

Zhongyi Lu, Zongbao Liu, Cuijing Zhang, Qiaoyan Wei, Siyu Zhang, Meng Li

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors.

Zhongyi LuShenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Zongbao LiuShenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Cuijing ZhangShenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Qiaoyan WeiShenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Siyu ZhangShenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Meng LiShenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China. limeng848@szu.edu.cn.ORCID http://orcid.org/0000-0001-8675-0758

Funding

NSFC 31970105,
6 · The paper itself

Abstract

River-bay systems are transitional areas that hold important roles in biogeochemical processes between continents and oceans. However, composition and structure of microbial communities shaped by such environments have not been clear yet. In this study, we used high-throughput sequencing of 16S rRNA genes to analyze the diversity and composition of sediment bacterial communities from the Shenzhen river-bay system during dry and wet seasons. The results showed that sediment bacterial community structure was varied according to habitats (river vs. estuary) and seasons (wet season vs. dry season). The alpha diversity of sediment bacterial community was significantly higher in the dry season than in the wet season, while no significant difference of alpha diversity was found between river and estuary. Neutral community model revealed a significant influence of stochastic processes on sediment bacterial community assembly, especially in the wet season. However, the beta nearest-taxon index indicated that deterministic processes were more responsible for the assembly of sediment bacterial community. Additionally, redundancy analysis suggested strong links between sediment bacterial communities and environmental factors in Shenzhen river-bay system, with the environmental factors explaining 63.5% of the bacterial community variation. Specifically, NH

Indexed as

BaysRiversChinaGeologic SedimentsRNA, Ribosomal, 16SSeasonsRNA, Ribosomal, 16SBacterial community assembly,Deterministic processesRiver-bay system,Stochastic processes,

Identifiers

What OpenQuestion holds

Textmetadata
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.