Evidence map›Paper›PMID 25281375›Full record

ArticleApplied and environmental microbiology2014

Genetic diversity of picocyanobacteria in tibetan lakes: assessing the endemic and universal distributions.

Sijun Huang, Yongqin Liu, Anyi Hu, Xiaobo Liu, Feng Chen, Tandong Yao, Nianzhi Jiao

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Review
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  3. Draft Genome Sequences ofJournal of genomics · 2023
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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

7 authors.

Sijun HuangCAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China yqliu@itpcas.ac.cn huangsijun@scsio.ac.cn.
Yongqin LiuInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China yqliu@itpcas.ac.cn huangsijun@scsio.ac.cn.
Anyi HuKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Xiaobo LiuInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Feng ChenInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, Maryland, USA.
Tandong YaoInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Nianzhi JiaoState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phylogenetic diversity of picocyanobacteria in seven alkaline lakes on the Tibetan Plateau was analyzed using the molecular marker 16S-23S rRNA internal transcribed spacer sequence. A total of 1,077 environmental sequences retrieved from the seven lakes were grouped into seven picocyanobacterial clusters, with two clusters newly described here. Each of the lakes was dominated by only one or two clusters, while different lakes could have disparate communities, suggesting low alpha diversity but high beta diversity of picocyanobacteria in these high-altitude freshwater and saline lakes. Several globally distributed clusters were found in these Tibetan lakes, such as subalpine cluster I and the Cyanobium gracile cluster. Although other clusters likely exhibit geographic restriction to the plateau temporally, reflecting endemicity, they can indeed be distributed widely on the plateau. Lakes with similar salinities may have similar genetic populations despite a large geographic distance. Canonical correspondence analysis identified salinity as the only environmental factor that may in part explain the diversity variations among lakes. Mantel tests suggested that the community similarities among lakes are independent of geographic distance. A portion of the picocyanobacterial clusters appear to be restricted to a narrow salinity range, while others are likely adapted to a broad range. A seasonal survey of Lake Namucuo across 3 years did not show season-related variations in diversity, and depth-related population partitioning was observed along a vertical profile of the lake. Our study emphasizes the high dispersive potential of picocyanobacteria and suggests that the regional distribution may result from adaptation to specified environments.

Indexed as

BacteriaBiodiversityDNA, BacterialEcosystemGenetic VariationLakesMolecular Sequence DataPhylogenyRNA, Ribosomal, 16STibetDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID25281375
PMCPMC4249238

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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.