Evidence map›Paper›PMID 26761709›Full record

ArticlePloS one2016

Microbial Community Structure and Arsenic Biogeochemistry in an Acid Vapor-Formed Spring in Tengchong Geothermal Area, China.

Zhou Jiang, Ping Li, Dawei Jiang, Xinyue Dai, Rui Zhang, Yanhong Wang, Yanxin Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Metagenomics insight into Puga geothermal geyser located in Himalayan Geothermal Belt (Trans-Himalayan Plateau) Ladakh, India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  3. Article
  4. Deciphering the microbial communities of alkaline hot spring in Panamik, Ladakh, India using a high-throughput sequencing approach.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  5. Microbial diversity analysis of Chumathang geothermal spring, Ladakh, India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
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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 at 1 institution in 1 country.

Zhou JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
Ping LiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
Dawei JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
Xinyue DaiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
Rui ZhangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
Yanhong WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
Yanxin WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People's Republic of China.
China University of Geosciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic biogeochemistry has been studied extensively in acid sulfate-chloride hot springs, but not in acid sulfate hot springs with low chloride. In this study, Zhenzhuquan in Tengchong geothermal area, a representative acid sulfate hot spring with low chloride, was chosen to study arsenic geochemistry and microbial community structure using Illumina MiSeq sequencing. Over 0.3 million 16S rRNA sequence reads were obtained from 6-paired parallel water and sediment samples along its outflow channel. Arsenic oxidation occurred in the Zhenxhuquan pool, with distinctly high ratios of arsenate to total dissolved arsenic (0.73-0.86). Coupled with iron and sulfur oxidation along the outflow channel, arsenic accumulated in downstream sediments with concentrations up to 16.44 g/kg and appeared to significantly constrain their microbial community diversity. These oxidations might be correlated with the appearance of some putative functional microbial populations, such as Aquificae and Pseudomonas (arsenic oxidation), Sulfolobus (sulfur and iron oxidation), Metallosphaera and Acidicaldus (iron oxidation). Temperature, total organic carbon and dissolved oxygen significantly shaped the microbial community structure of upstream and downstream samples. In the upstream outflow channel region, most microbial populations were microaerophilic/anaerobic thermophiles and hyperthermophiles, such as Sulfolobus, Nocardia, Fervidicoccus, Delftia, and Ralstonia. In the downstream region, aerobic heterotrophic mesophiles and thermophiles were identified, including Ktedonobacteria, Acidicaldus, Chthonomonas and Sphingobacteria. A total of 72.41-95.91% unassigned-genus sequences were derived from the downstream high arsenic sediments 16S rRNA clone libraries. This study could enable us to achieve an integrated understanding on arsenic biogeochemistry in acid hot springs.

Indexed as

Microbial ConsortiaArchaeaArsenicBacteriaBiodiversityChinaChloridesHot SpringsHydrogen-Ion ConcentrationIronOxygenRNA, Ribosomal, 16SSequence Analysis, DNASulfatesSulfidesSulfurArsenicChloridesIronOxygenRNA, Ribosomal, 16SSulfatesSulfidesSulfurWater

Identifiers

PMID26761709
PMCPMC4711897
OpenAlexW2239872680

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.