Evidence map›Paper›PMID 30848090›Full record

ArticleMicrobiologyOpen2019

Microbial community composition in alpine lake sediments from the Hengduan Mountains.

Binqiang Liao, Xiaoxin Yan, Jiang Zhang, Ming Chen, Yanling Li, Jiafeng Huang, Ming Lei, Hailun He, Jun Wang

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Binqiang LiaoSchool of Life Science Central South University, Changsha, China.
Xiaoxin YanState Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China.
Jiang ZhangSchool of Life Science Central South University, Changsha, China.
Ming ChenSanway Gene Technology Inc., Changsha, China.
Yanling LiKey Laboratory of Plateau Lake Ecology and Environment Change, Institute of Plateau Lake Ecology and Pollution Management, School of Resource Environment and Earth Science, Yunnan University, Kunming, China.
Jiafeng HuangSchool of Life Science Central South University, Changsha, China.
Ming LeiSchool of Life Science Central South University, Changsha, China.
Hailun HeSchool of Life Science Central South University, Changsha, China.ORCID 0000-0002-2997-8446
Jun WangSchool of Life Science Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities in sediments play an important role in alpine lake ecosystems. However, the microbial diversity and community composition of alpine lake sediments from the Hengduan Mountains remain largely unknown. Therefore, based on the Illumina MiSeq platform, high-throughput sequencing analysis of the 16S rRNA gene was performed on 15 alpine lake sediments collected at different locations in the Hengduan Mountains. The abundance-based coverage estimate (ACE), Chao1, and Shannon indices indicated that the microbial abundance and diversity of these sediments were high. There are some differences in the composition of microbial communities among sediments. However, in general, Proteobacteria accounted for the largest proportion of all sediments (22.3%-67.6%) and was the dominant phylum. Followed by Bacteroidetes, Acidobacteria, Chloroflexi, and Planctomycetes. In addition, the operational taxonomic unit (OTU) interactions network had modular structures and suggested more cooperation than competition in the microbial community. Besides, we also found that temperature has a significant contribution to the sample-environment relationship. This study revealed the diversity and composition of microbial communities in alpine lake sediments from the Hengduan Mountains, and describe the correlation between microbial community structure and different environmental variables.

Indexed as

MicrobiotaBacteriaChinaCluster AnalysisDNA, BacterialDNA, RibosomalGeologic SedimentsHigh-Throughput Nucleotide SequencingLakesMetagenomicsPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA, RibosomalRNA, Ribosomal, 16Salpine lake sedimentsIllumina MiSeq platformmicrobial community compositionmicrobial diversitythe Hengduan Mountains

Identifiers

PMID30848090
PMCPMC6741133

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.