Evidence map›Paper›PMID 28938870›Full record

ArticleBMC microbiology2017

Evaluation of prokaryotic diversity of five hot springs in Eritrea.

Amanuel M Ghilamicael, Nancy L M Budambula, Sylvester E Anami, Tadesse Mehari, Hamadi I Boga

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-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

27 citing papers in PubMed, 57 citations in OpenAlex.

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  9. Monitoring Multi-Drug ResistantInfection and drug resistance · 2024
    Article
  10. Post-monsoon seasonal variation of prokaryotic diversity in solfataric soil from the North Sikkim hot spring.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    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

5 authors at 4 institutions in 3 countries.

Amanuel M GhilamicaelInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya.
Nancy L M BudambulaEmbu University College, P. O. Box 6-60100, Embu, Kenya.
Sylvester E AnamiInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya.
Tadesse MehariNational Commission for Higher Education in Eritrea, Asmara, Eritrea.
Hamadi I BogaTaita Taveta University, P.O. Box 635-80300, Voi, Kenya. hamadiboga@ttu.ac.ke.
Jomo Kenyatta University of Agriculture and Technology · KEGandhara University · PKUniversity of Asmara · ERUniversity of Embu · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTotal community rDNA was used to determine the diversity of bacteria and archaea from water, wet sediment and microbial mats samples of hot springs in the Eastern lowlands of Eritrea. The temperatures of the springs range from 49.5 °C to 100 °C while pH levels varied from 6.97 to 7.54. Akwar and Maiwooi have high carbonate levels. The springs near the seashore, Garbanabra and Gelti, are more saline with higher levels of sodium and chlorides. Elegedi, situated in the Alid volcanic area, has the highest temperature, iron and sulfate concentrations.

resultsThe five hot springs shared 901 of 4371 OTUs recovered while the three sample types (water, wet sediment and microbial mats) also shared 1429 OTUs. The Chao1 OTU estimate in water sample was significantly higher than the wet sediment and microbial mat samples. As indicated by NMDS, the community samples at genus level showed location specific clustering. Certain genera correlated with temperature, sodium, carbonate, iron, sulfate and ammonium levels in water. The abundant phyla included Proteobacteria (6.2-82.3%), Firmicutes (1.6-63.5%), Deinococcus-Thermus (0.0-19.2%), Planctomycetes (0.0-11.8%), Aquificae (0.0-9.9%), Chlorobi (0.0-22.3%) and Bacteroidetes (2.7-8.4%).

conclusionThere were significant differences in microbial community structure within the five locations and sample types at OTU level. The occurence of Aquificae, Deinococcus-Thermus, some Cyanobacteria and Crenarchaeota were highly dependent on temperature. The Halobacterium, unclassified Thaumarchaeota, Actinobacteria and Cyanobacteria showed significant correlation with salinity occurring abundantly in Garbanabra and Gelti. Firmicutes and unclassified Rhodocylaceae were higher in the microbial mat samples, while Archaea were prominent in the wet sediment samples.

Indexed as

Microbial ConsortiaArchaeaBacteriaBiodiversityCarbonatesDNA, ArchaealDNA, BacterialEritreaGeologic SedimentsHot SpringsHot TemperatureHydrogen-Ion ConcentrationPhylogenySequence Analysis, DNAWaterWater MicrobiologyCarbonatesDNA, ArchaealDNA, BacterialWater

Identifiers

PMID28938870
PMCPMC5610464
OpenAlexW2756864207

What OpenQuestion holds

Textmetadata
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.