Evidence map›Paper›PMID 35336213›Full record

ArticleMicroorganisms2022

Microbial Community Structure and Ecological Networks during Simulation of Diatom Sinking.

Ying Liu, Mengchu Zeng, Zhe Xie, Daliang Ning, Jizhong Zhou, Xi Yu, Rulong Liu, Li Zhang, Jiasong Fang

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 4 institutions in 2 countries.

Ying LiuHadal Science and Technology Research Center, Shanghai Ocean University, Shanghai 201306, China.
Mengchu ZengState Key Laboratory of Geological Process and Mineral Resources, Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China.
Zhe XieHadal Science and Technology Research Center, Shanghai Ocean University, Shanghai 201306, China.
Daliang NingDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK 73019, USA.
Jizhong ZhouDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK 73019, USA.
Xi YuHadal Science and Technology Research Center, Shanghai Ocean University, Shanghai 201306, China.
Rulong LiuHadal Science and Technology Research Center, Shanghai Ocean University, Shanghai 201306, China.
Li ZhangHadal Science and Technology Research Center, Shanghai Ocean University, Shanghai 201306, China.
Jiasong FangHadal Science and Technology Research Center, Shanghai Ocean University, Shanghai 201306, China.
Shanghai Ocean University · CNChina University of Geosciences · CNLawrence Berkeley National Laboratory · USUniversity of Oklahoma · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial-mediated utilization of particulate organic matter (POM) during its downward transport from the surface to the deep ocean constitutes a critical component of the global ocean carbon cycle. However, it remains unclear as to how high hydrostatic pressure (HHP) and low temperature (LT) with the sinking particles affects community structure and network interactions of the particle-attached microorganisms (PAM) and those free-living microorganisms (FLM) in the surrounding water. In this study, we investigated microbial succession and network interactions in experiments simulating POM sinking in the ocean. Diatom-derived

Indexed as

DNA-SIPfree-living microorganismshydrostatic pressuremicrobial interactionsparticle-attached microorganismsparticulate organic matter

Identifiers

PMID35336213
PMCPMC8949005
OpenAlexW4221075096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.