Evidence map›Paper›PMID 31911462›Full record

ArticlemSystems2020

Progressive Microbial Community Networks with Incremental Organic Loading Rates Underlie Higher Anaerobic Digestion Performance.

Linwei Wu, Xiaoyu Shan, Si Chen, Qiuting Zhang, Qi Qi, Ziyan Qin, Huaqun Yin, Jizhong Zhou, Qiang He, Yunfeng Yang

Abstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Review
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

10 authors.

Linwei Wu *Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Xiaoyu Shan *State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Si ChenDepartment of Civil and Environmental Engineering, The University of Tennessee, Knoxville, Tennessee, USA.
Qiuting ZhangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Qi QiState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Ziyan QinState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Huaqun YinSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-1215-001X
Jizhong ZhouInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Qiang HeDepartment of Civil and Environmental Engineering, The University of Tennessee, Knoxville, Tennessee, USA qianghe@utk.edu yangyf@tsinghua.edu.cn.
Yunfeng YangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China qianghe@utk.edu yangyf@tsinghua.edu.cn.ORCID https://orcid.org/0000-0001-8274-6196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although biotic interactions among members of microbial communities have been conceived to be crucial for community assembly, it remains unclear how changes in environmental conditions affect microbial interaction and consequently system performance. Here, we adopted a random matrix theory-based network analysis to explore microbial interactions in triplicate anaerobic digestion (AD) systems, which is widely applied for organic pollutant treatments. The digesters were operated with incremental organic loading rates (OLRs) from 1.0 g volatile solids (VS)/liter/day to 1.3 g VS/liter/day and then to 1.5 g VS/liter/day, which increased VS removal and methane production proportionally. Higher resource availability led to networks with higher connectivity and shorter harmonic geodesic distance, suggestive of more intense microbial interactions and quicker responses to environmental changes. Strikingly, a number of topological properties of microbial network showed significant (

Indexed as

anaerobic digestionmicrobial interactionsystem performance

Identifiers

PMID31911462
PMCPMC6946792

What OpenQuestion holds

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LicenceCC BY
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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.