Evidence map›Paper›PMID 35788147›Full record

ArticleScientific reports2022

Salt flat microbial diversity and dynamics across salinity gradient.

Khaled M Hazzouri, Naganeeswaran Sudalaimuthuasari, Esam Eldin Saeed, Biduth Kundu, Raja Saeed Al-Maskari, David Nelson, Alya Ali AlShehhi, Maryam Abdulla Aldhuhoori, Dhabiah Saleh Almutawa, Fatema Rashed Alshehhi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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  6. Diversification, niche adaptation, and evolution of a candidate phylum thriving in the deep Critical Zone.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  8. 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

16 authors at 3 institutions in 2 countries.

Khaled M Hazzouri *Khalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Naganeeswaran Sudalaimuthuasari *Khalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Esam Eldin SaeedKhalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Biduth KunduDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Raja Saeed Al-MaskariDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
David NelsonCenter for Genomics and Systems Biology, New York University, P.O. Box. 129188, Abu Dhabi, UAE.
Alya Ali AlShehhiDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Maryam Abdulla AldhuhooriDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Dhabiah Saleh AlmutawaDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Fatema Rashed AlshehhiDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Jithin BalanKhalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Sunil MundraDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Mohammad AlamDepartment of Biology, College of Science, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE.
Kourosh Salehi-AshtianiCenter for Genomics and Systems Biology, New York University, P.O. Box. 129188, Abu Dhabi, UAE.
Michael PuruggananCenter for Genomics and Systems Biology, New York University, P.O. Box. 129188, Abu Dhabi, UAE.
Khaled M A AmiriKhalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, P.O. Box. 15551, Al Ain, UAE. k.amiri@uaeu.ac.ae.
United Arab Emirates University · AEKhalifa University of Science and Technology · AENew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sabkhas are hypersaline, mineral-rich, supratidal mudflats that harbor microbes that are adapted to high salt concentration. Sabkha microbial diversity is generally studied for their community composition, but less is known about their genetic structure and heterogeneity. In this study, we analyzed a coastal sabkha for its microbial composition using 16S rDNA and whole metagenome, as well as for its population genetic structure. Our 16S rDNA analysis show high alpha diversity in both inner and edge sabkha than outer sabkha. Beta diversity result showed similar kind of microbial composition between inner and edge sabkha, while outer sabkha samples show different microbial composition. At phylum level, Bacteroidetes (~ 22 to 34%), Euryarchaeota (~ 18 to ~ 30%), unclassified bacteria (~ 24 to ~ 35%), Actinobacteria (~ 0.01 to ~ 11%) and Cyanobacteria (less than 1%) are predominantly found in both inside and edge sabkha regions, whereas Proteobacteria (~ 92 to ~ 97%) and Parcubacteria (~ 1 to ~ 2%) are predominately found in outer sabkha. Our 225 metagenomes assembly from this study showed similar bacterial community profile as observed in 16S rDNA-based analysis. From the assembled genomes, we found important genes that are involved in biogeochemical cycles and secondary metabolite biosynthesis. We observed a dynamic, thriving ecosystem that engages in metabolic activity that shapes biogeochemical structure via carbon fixation, nitrogen, and sulfur cycling. Our results show varying degrees of horizontal gene transfers (HGT) and homologous recombination, which correlates with the observed high diversity for these populations. Moreover, our pairwise population differentiation (Fst) for the abundance of species across the salinity gradient of sabkhas identified genes with strong allelic differentiation, lower diversity and elevated nonsynonymous to synonymous ratio of variants, which suggest selective sweeps for those gene variants. We conclude that the process of HGT, combined with recombination and gene specific selection, constitute the driver of genetic variation in bacterial population along a salinity gradient in the unique sabkha ecosystem.

Indexed as

CyanobacteriaSalinityBacteroidetesDNA, RibosomalEcosystemSodium ChlorideSodium Chloride, DietaryDNA, RibosomalSodium ChlorideSodium Chloride, Dietary

Identifiers

PMID35788147
PMCPMC9253026
OpenAlexW4283798827

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.