Evidence map›Paper›PMID 41933198›Full record

ArticleWorld journal of microbiology & biotechnology2026

Microbial community structure across freshwater ecosystem types in a high-altitude region, Zhongar Alatau, Kazakhstan.

Katarína Ondreičková, Miroslav Böhmer, Diana Rusňáková, Monika Kubáňová, Tomáš Szemes, Lenka Pániková, Berikzhan K Oxikbayev, Danagul Mukasheva, Marián Janiga

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Article in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Katarína OndreičkováDepartment of Plant Production, National Agricultural and Food Centre, Bratislavská Cesta 122, 921 68, Piešťany, Slovakia. katarina.ondreickova@nppc.sk.
Miroslav BöhmerComenius University Science Park, Ilkovičova 8, 841 04, Bratislava, Slovakia.
Diana RusňákováComenius University Science Park, Ilkovičova 8, 841 04, Bratislava, Slovakia.
Monika KubáňováComenius University Science Park, Ilkovičova 8, 841 04, Bratislava, Slovakia.
Tomáš SzemesComenius University Science Park, Ilkovičova 8, 841 04, Bratislava, Slovakia.
Lenka PánikováInstitute of High Mountain Biology, University of Žilina, Tatranská Javorina 7, 059 56, Tatranská Javorina, Slovakia.
Berikzhan K OxikbayevZhetysu University Named After Ilyas Zhansugurov, Zhansugurov St. 187 A, 040009, Taldykorgan, Kazakhstan.
Danagul MukashevaZhetysu University Named After Ilyas Zhansugurov, Zhansugurov St. 187 A, 040009, Taldykorgan, Kazakhstan.
Marián JanigaInstitute of High Mountain Biology, University of Žilina, Tatranská Javorina 7, 059 56, Tatranská Javorina, Slovakia.

Funding

European Union's Horizon Europe research and innovation programme 101160008Ministry of Education and Science of the Republic of Kazakhstan AP26102759
6 · The paper itself

Abstract

The freshwater systems of southeastern Kazakhstan span a climatically and ecologically diverse region with contrasting hydrological systems that provide valuable insight into microbial community dynamics. In this study, we investigated bacterial communities in water samples spanning five freshwater habitat types in southeastern Kazakhstan: glacier, glacial river, lake, river, and sedimentary lake, using 16S rRNA gene amplicon sequencing. Significant differences in alpha and beta diversity were observed among ecosystem types, with glacial environments harbouring the lowest taxonomic richness and diversity. Network and ordination analyses revealed distinct microbial assemblages driven by ecosystem-specific environmental conditions. Dominant bacterial classes included Bacteroidia, Betaproteobacteria, Alphaproteobacteria, and Gammaproteobacteria, while core genera such as Flavobacterium and Rhodoferax were prevalent across all habitats. Linear Discriminant Analysis Effect Size (LEfSe) identified habitat-discriminative bacterial taxa: glacier was significantly enriched in Pseudomonas, Janthinobacterium, Brevundimonas, and Caulobacter; glacial river in Stagnimonas and Sphingorhabdus; lake in Arcicella and CL500-29 marine group; river in Asticcacaulis and hgcl clade; and sedimentary lake was primarily distinguished by the presence of Pirellula. Correlation analyses further indicated moderate associations between chemical elements and alpha diversity metrics: rubidium, iron, and manganese were negatively correlated with diversity indices, whereas chromium showed a positive correlation. Linear regression plots suggested that the strength and direction of these diversity-element relationships varied among habitat types, with glacier and glacial-river samples showing steeper negative trends for Fe, Rb, and Mn compared with other ecosystems. These patterns likely reflect geochemical gradients across the sampled ecosystems.

Indexed as

BacteriaEcosystemFresh WaterMicrobiotaAltitudeBiodiversityDNA, BacterialIce CoverKazakhstanLakesPhylogenyRiversRNA, Ribosomal, 16SSequence Analysis, DNAWater MicrobiologyDNA, BacterialRNA, Ribosomal, 16SAlpine ecosystemsBacterial diversityCore microbiomeFreshwater ecologyRibosomal RNA gene sequencingTrace elements

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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.